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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2018.00011</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Domesticated Landscapes in Araucaria Forests, Southern Brazil: A Multispecies Local Conservation-by-Use System</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Reis</surname> <given-names>Maur&#x000ED;cio S.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/435708/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Montagna</surname> <given-names>Tiago</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/466371/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mattos</surname> <given-names>Andr&#x000E9;a G.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/485642/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Filippon</surname> <given-names>Samantha</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/519625/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ladio</surname> <given-names>Ana H.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/367875/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Marques</surname> <given-names>An&#x000E9;sio da Cunha</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/520358/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zechini</surname> <given-names>Alex A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Peroni</surname> <given-names>Nivaldo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/436414/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mantovani</surname> <given-names>Adelar</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/519271/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>N&#x000FA;cleo de Pesquisas em Florestas Tropicais, Programa de P&#x000F3;s-Gradua&#x000E7;&#x000E3;o em Recursos Gen&#x000E9;ticos Vegetais, Universidade Federal de Santa Catarina</institution>, <addr-line>Florian&#x000F3;polis</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Grupo de Etnobiolog&#x000ED;a, INIBIOMA, Universidad Nacional del Comahue</institution>, <addr-line>Bariloche</addr-line>, <country>Argentina</country></aff>
<aff id="aff3"><sup>3</sup><institution>Floresta Nacional de Tr&#x000EA;s Barras, Instituto Chico Mendes de Conserva&#x000E7;&#x000E3;o da Biodiversidade</institution>, <addr-line>Tr&#x000EA;s Barras</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>Laborat&#x000F3;rio de Ecologia Humana e Etnobot&#x000E2;nica, Departamento de Ecologia e Zoologia, Universidade Federal de Santa Catarina</institution>, <addr-line>Florian&#x000F3;polis</addr-line>, <country>Brazil</country></aff>
<aff id="aff5"><sup>5</sup><institution>Centro de Ci&#x000EA;ncias Agroveterin&#x000E1;rias, Universidade do Estado de Santa Catarina</institution>, <addr-line>Lages</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Pan Kaiwen, Chengdu Institute of Biology (CAS), China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Fernando Jos&#x000E9; Cebola Lidon, Faculdade de Ci&#x000EA;ncias e Tecnologia da Universidade Nova de Lisboa, Portugal; Indira Devi Puthussery, Kerala Agricultural University, India</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Maur&#x000ED;cio S. Reis <email>msedrez&#x00040;gmail.com</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Agroecology and Land Use Systems, a section of the journal Frontiers in Ecology and Evolution</p></fn></author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>02</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>6</volume>
<elocation-id>11</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>07</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>01</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018 Reis, Montagna, Mattos, Filippon, Ladio, Marques, Zechini, Peroni and Mantovani.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Reis, Montagna, Mattos, Filippon, Ladio, Marques, Zechini, Peroni and Mantovani</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>Araucaria forest is a sub-tropical component of the Atlantic Forest Biome, occurring between 18 and 30&#x000B0; S latitude, and 500&#x02013;1,800 m altitude in Southern and Southwestern Brazil and Northwestern Argentina. In recent history (Twentieth century), this forest has undergone non-sustainable exploitation and reduction in area dedicated to agricultural and forestry use. However, smallholders continue using several resources from this forest, even adapting management systems. The main system is geared toward the production of yerba mate (<italic>Ilex paraguariensis</italic>) under araucaria trees (<italic>Araucaria angustifolia</italic>), which holds economic, cultural, and social relevance for thousands of farmers. Seeking evidence of domestication and conservation of the resources managed in this system, we compared different landscapes on the Northern Plateau of Santa Catarina in Southern Brazil. Focusing on three species-yerba mate, araucaria and <italic>caraguat&#x000E1;</italic> (<italic>Bromelia antiacantha</italic>)&#x02014;we characterized management practices (interviews and guided tours), demographic structure (permanent plots in farming zones and in a protected area), and genetic diversity in populations from the same places. Demographic structure and genetic diversity from different landscapes were compared to evaluate the system potential for conservation. The results indicated that the three species are intentionally promoted with practices of protection, transplanting and/or selection, in different ways and with different functions (<italic>caraguat&#x000E1;</italic> hedges, yerba mate harvesting, and collection of <italic>pinh&#x000F5;es</italic>&#x02014;seed like nuts&#x02014;of araucaria). Landscapes are managed for yerba mate harvesting and cattle raising, for both economic and cultural reasons, with a consequent reduction in the density of most other plant species. In all cases the genetic diversity of the species was high for most of the sampled properties, and the set of farmers&#x00027; populations did not differ from the protected area. The set of populations of each species operates as a metapopulation and local management practices contribute to conservation. Thus, the farmers&#x00027; management systems and practices maintain the landscape with productive forest fragments, favoring the conservation-by-use of these species. The system requires these management practices, which bring about changes in various species and are motivated by cultural and economic factors, in order to maintain the landscapes domesticated.</p></abstract>
<kwd-group>
<kwd>cultural landscapes</kwd>
<kwd><italic>Araucaria angustifolia</italic></kwd>
<kwd><italic>Ilex paraguariensis</italic></kwd>
<kwd><italic>Bromelia antiacantha</italic></kwd>
<kwd>genetic diversity</kwd>
<kwd>ethnobotany</kwd>
<kwd>local management system</kwd>
<kwd>non-timber forest products</kwd>
</kwd-group>
<contract-num rid="cn001">4448/2010-2</contract-num>
<contract-num rid="cn001">11939/2009</contract-num>
<contract-num rid="cn002">309128/2014-5</contract-num>
<contract-sponsor id="cn001">Funda&#x000E7;&#x000E3;o de Amparo &#x000E0; Pesquisa e Inova&#x000E7;&#x000E3;o do Estado de Santa Catarina<named-content content-type="fundref-id">10.13039/501100005667</named-content></contract-sponsor>
<contract-sponsor id="cn002">Conselho Nacional de Desenvolvimento Cient&#x000ED;fico e Tecnol&#x000F3;gico<named-content content-type="fundref-id">10.13039/501100003593</named-content></contract-sponsor>
<contract-sponsor id="cn003">Consejo Nacional de Investigaciones Cient&#x000ED;ficas y T&#x000E9;cnicas<named-content content-type="fundref-id">10.13039/501100002923</named-content></contract-sponsor>
<contract-sponsor id="cn004">Coordena&#x000E7;&#x000E3;o de Aperfei&#x000E7;oamento de Pessoal de N&#x000ED;vel Superior<named-content content-type="fundref-id">10.13039/501100002322</named-content></contract-sponsor>
<contract-sponsor id="cn005">Empresa Brasileira de Pesquisa Agropecu&#x000E1;ria<named-content content-type="fundref-id">10.13039/501100003046</named-content></contract-sponsor>
<counts>
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<ref-count count="99"/>
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</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Recent literature has presented several examples of a human signature imprinted on the landscape, reflecting cultural strength in the prehistoric/historical determination of composition and structure of forest formations (Denevan, <xref ref-type="bibr" rid="B25">2001</xref>; Bal&#x000E9;e, <xref ref-type="bibr" rid="B7">2006</xref>; Bitencourt and Krauspenhar, <xref ref-type="bibr" rid="B14">2006</xref>; Balick, <xref ref-type="bibr" rid="B8">2007</xref>; Behling and Pillar, <xref ref-type="bibr" rid="B10">2007</xref>; Reis et al., <xref ref-type="bibr" rid="B74">2014</xref>; Clement et al., <xref ref-type="bibr" rid="B21">2015</xref>; Iriarte et al., <xref ref-type="bibr" rid="B50">2017</xref>; Levis et al., <xref ref-type="bibr" rid="B55">2017</xref>; Roberts et al., <xref ref-type="bibr" rid="B81">2017</xref>). One example of such human action with the greatest accumulation of evidence is the Amazonian Dark Earth (<italic>Terra Preta de &#x000CD;ndio</italic>). Several studies have revealed that Amazonian Dark Earth is a cultural mark in forest formation&#x02014;eventually considered pristine (Clement and Junqueira, <xref ref-type="bibr" rid="B22">2010</xref>)&#x02014;perceived since the arrival of European botanists in the Americas (Clement and Junqueira, <xref ref-type="bibr" rid="B22">2010</xref>; Clement et al., <xref ref-type="bibr" rid="B21">2015</xref>; Levis et al., <xref ref-type="bibr" rid="B55">2017</xref>).</p>
<p>These advances encourage a new perspective on the dynamics of supposedly natural ecosystems and the ecology of species, as well as possibilities for conservation and use. In particular, two aspects emerge from this new vision:</p>
<list list-type="alpha-upper">
<list-item><p>The marks of domestication processes on numerous species and landscapes, with models specific to different cultures in several environments.</p></list-item>
<list-item><p>The fact of landscape and species domestication in different environments can be present and currently active at the interface of agricultural and forest environments, with autochthonous species.</p></list-item>
</list>
<p>Thus, domestication systems involving different intensities of use/intervention initiated in the past remain in the present, associated with the distinct needs and perspectives of different peoples and cultures. Management practices entailing protection, promotion and selection are present in today&#x00027;s &#x0201C;extractivism&#x0201D; systems, and imply effective adjustments of landscapes and populations to the dimensions of current use (see Wiersum, <xref ref-type="bibr" rid="B95">1996</xref>, <xref ref-type="bibr" rid="B97">1997b</xref>; Martins, <xref ref-type="bibr" rid="B59">2005</xref>; Emperaire and Peroni, <xref ref-type="bibr" rid="B29">2007</xref>; Miranda and Hanazaki, <xref ref-type="bibr" rid="B66">2008</xref>; Capparelli et al., <xref ref-type="bibr" rid="B17">2011</xref>; Parra et al., <xref ref-type="bibr" rid="B70">2012</xref>; Dawson et al., <xref ref-type="bibr" rid="B24">2013</xref>; Steenbock and Reis, <xref ref-type="bibr" rid="B86">2013</xref>; Roberts et al., <xref ref-type="bibr" rid="B81">2017</xref>).</p>
<p>Plant domestication in forest environments begins with a process mediated by humans which favors the occurrence of the chosen species to the detriment of others (Wiersum, <xref ref-type="bibr" rid="B96">1997a</xref>). Later, in the same environment, the implantation of selected species is common (Wiersum, <xref ref-type="bibr" rid="B96">1997a</xref>). Therefore, from the conceptual reference of Clement (<xref ref-type="bibr" rid="B19">1999</xref>), domestication can be understood as a process acting on the landscape as a result of human intervention, and, influenced by cultural background. Thus, landscapes are produced where the degree of human interference can lead to different forest structures and different genotypic and phenotypic frequencies in plant populations of interest, some also being affected negatively. In the same landscape humans can target one or several resources, in different intensities and microenvironments, thus producing cultural landscapes (<italic>sensu</italic> Berkes et al., <xref ref-type="bibr" rid="B12">2000</xref>).</p>
<p>These cultural landscapes (<italic>sensu</italic> Berkes et al., <xref ref-type="bibr" rid="B12">2000</xref>; Berkes and Folke, <xref ref-type="bibr" rid="B11">2002</xref>; Berkes and Turner, <xref ref-type="bibr" rid="B13">2006</xref>; Ladio, <xref ref-type="bibr" rid="B54">2011</xref>) are more common than previously imagined, and this perception brings the need for a change in posture regarding the possibility of conservation and use. The human presence and its cultural values can be determinant in the landscape perceived today, and favor both conservation and use at the same time. Furthermore, several recent studies (Heywood et al., <xref ref-type="bibr" rid="B46">2007</xref>; Clement et al., <xref ref-type="bibr" rid="B20">2010</xref>; Capparelli et al., <xref ref-type="bibr" rid="B17">2011</xref>; Shepard and Ramirez, <xref ref-type="bibr" rid="B85">2011</xref>; Steenbock et al., <xref ref-type="bibr" rid="B87">2011</xref>; Parra et al., <xref ref-type="bibr" rid="B70">2012</xref>; Dawson et al., <xref ref-type="bibr" rid="B24">2013</xref>; Steenbock and Reis, <xref ref-type="bibr" rid="B86">2013</xref>) demonstrate the importance of management systems and local practices associated with obtaining resources from forest environments, as discussed by Roberts et al. (<xref ref-type="bibr" rid="B81">2017</xref>). These studies have been carried out with a view to understanding different forms of landscape domestication, or in the sense of recognizing and valuing this strategy for obtaining income, and the diversification of family farming (Kubo et al., <xref ref-type="bibr" rid="B53">2008</xref>; Vieira-da-Silva and Reis, <xref ref-type="bibr" rid="B93">2009</xref>; Vieira-da-Silva and Miguel, <xref ref-type="bibr" rid="B92">2014</xref>).</p>
<p>The main innovation of these kinds of studies is a more realistic understanding of how the composition of species and the structure of landscapes are determined. This understanding encompasses the active presence of humans and their interests, allowing more consistent actions for conservation and use of landscapes, including public policies (see Dawson et al., <xref ref-type="bibr" rid="B24">2013</xref>; Roberts et al., <xref ref-type="bibr" rid="B81">2017</xref>). Studies with this emphasis are recent and scarce in the Brazilian Atlantic Rainforest, despite its importance for the sustainable use of species domesticated by the native people, and for the establishment of public policies for conservation and use of biodiversity. In this context the Araucaria forest (Ombrophilous Mixed Forest), a forest formation of the Atlantic Rainforest, has been the object of several studies (see Reis et al., <xref ref-type="bibr" rid="B76">2010</xref>; Zechini et al., <xref ref-type="bibr" rid="B98">2012</xref>; Steenbock and Reis, <xref ref-type="bibr" rid="B86">2013</xref>; Vieira-da-Silva and Miguel, <xref ref-type="bibr" rid="B92">2014</xref>; Adan et al., <xref ref-type="bibr" rid="B1">2016</xref>).</p>
<p>Before the arrival of Europeans in South America, the Araucaria forest occupied an estimated area of 200,000 km<sup>2</sup> in Brazil and Argentina (Hueck, <xref ref-type="bibr" rid="B47">1972</xref>). However, since the beginning of the Twentieth century this ecosystem has suffered more than 100 years of wood exploitation (Trajano, <xref ref-type="bibr" rid="B88">1996</xref>; Nodari and de Carvalho, <xref ref-type="bibr" rid="B67">2010</xref>), intensive agriculture and livestock production, and the effects of habitat fragmentation (Guerra et al., <xref ref-type="bibr" rid="B43">2002</xref>; Ribeiro et al., <xref ref-type="bibr" rid="B80">2009</xref>). This has left the Araucaria forest restricted to only 12% of its original area in Brazil (Ribeiro et al., <xref ref-type="bibr" rid="B80">2009</xref>), and produced several legal restrictions to its use.</p>
<p>However, smallholders (such as family farmers) continue to use several resources from this forest, even adapting management systems. The main system is geared toward the production of yerba mate (<italic>Ilex paraguariensis</italic>) under araucaria trees (<italic>Araucaria angustifolia</italic>)&#x02014;the native yerba mate system, NYMS&#x02014;which holds economic, cultural, and social relevance for thousands of farmers (Marques, <xref ref-type="bibr" rid="B58">2014</xref>). For instance, only in 2014, more than 8,700 tons of <italic>pinh&#x000F5;es</italic> (seed-like nuts from <italic>A. angustifolia</italic>) were gathered in Brazil, representing a total product value of R$ 19,325,000.00 (IBGE, <xref ref-type="bibr" rid="B49">2014</xref>; at that time over US$ 8.2 million).</p>
<p>According to the Brazilian Institute of Geography and Statistics (IBGE, <xref ref-type="bibr" rid="B49">2014</xref>), in 2014 Brazil produced 333,017 tons of native yerba mate, and it was the main non-timber product in terms of production volume (IBGE, <xref ref-type="bibr" rid="B49">2014</xref>). Production of native yerba mate is carried out in 5,150 establishments (predominately family farmers) in Santa Catarina State (EPAGRI/CEPA, <xref ref-type="bibr" rid="B31">2016</xref>).</p>
<p>In this context we investigated landscapes with NYMS, characterizing the principal practices and motivation of family farmers, seeking evidence of landscape domestication and evaluating whether the system conserves the principal resources managed.</p>
<p>Our study has focused on three species in the NYMS: yerba mate (<italic>I. paraguariensis</italic>), araucaria (<italic>A. angustifolia</italic>), and <italic>caraguat&#x000E1;</italic> (<italic>Bromelia antiacantha</italic>). If on the one hand these species represent significant resources for the subsistence of family farmers, on the other hand they are interesting case studies to exemplify how these farmers play an active role in the conservation of plant populations. In addition, in order to evaluate whether the NYMS can conserve genetic diversity of the studied species, we analyzed genetic diversity in the yerba mate, araucaria and <italic>caraguat&#x000E1;</italic> populations from NYMS and from a protected area.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Study area</title>
<p>The study was conducted in southern Brazil, in the Northern Plateau of Santa Catarina state. Plant populations and ethnobotanical studies were realized in farmers&#x00027; properties situated in five different municipalities, and in a Protected Area - PA (Tr&#x000EA;s Barras National Forest) (Figure <xref ref-type="fig" rid="F1">1</xref>). The climate in this region is described as subtropical humid (Cfa), according to K&#x000F6;eppen&#x00027;s classification, with mean annual temperature ranging from 15.5 to 17&#x000B0;C, and annual precipitation between 1,360 and 1,670 mm (EPAGRI, <xref ref-type="bibr" rid="B30">2001</xref>). The soil in all sampled plots (further described) is classified as a sedimentary, nutrient-poor, deep and red latosol, and the relief is classified as smooth wavy, and the mean altitude is 750 m (Santa-Catarina, <xref ref-type="bibr" rid="B82">1986</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Study area &#x02013; Northern Plateau of Santa Catarina State, Brazil, including localization of Tr&#x000EA;s Barras National Forest (Protected Area).</p></caption>
<graphic xlink:href="fevo-06-00011-g0001.tif"/>
</fig>
<p>The Northern Plateau of Santa Catarina covers 10,466.70 km<sup>2</sup>, is composed of 14 municipalities and has an average HDI of 0.79 (IBGE, <xref ref-type="bibr" rid="B48">2006</xref>). The total population of the territory is 351,332 inhabitants, of which 23.76% live in the rural area (IBGE, <xref ref-type="bibr" rid="B49">2014</xref>). The Northern Plateau produces 27.2% of Santa Catarina native yerba mate and 38.33% (1,974) of the state&#x00027;s productive rural properties which grow native yerba mate are situated here (EPAGRI/CEPA, <xref ref-type="bibr" rid="B31">2016</xref>).</p>
</sec>
<sec>
<title>Study species</title>
<p><italic>Araucaria angustifolia</italic>, popularly known as Paran&#x000E1; pine, <italic>pinheiro-do-paran&#x000E1;</italic>, or <italic>pinheiro-brasileiro</italic>, is a conifer that has been intensively exploited since the beginning of the Twentieth century for wood production (Guerra et al., <xref ref-type="bibr" rid="B43">2002</xref>; Nodari and de Carvalho, <xref ref-type="bibr" rid="B67">2010</xref>), and is listed as critically endangered by the IUCN (IUCN, <xref ref-type="bibr" rid="B51">2017</xref>). The species is dioecious and wind pollinated with a reproductive cycle of 2&#x02013;3 years (Mantovani et al., <xref ref-type="bibr" rid="B56">2004</xref>); it covered approximately 200,000 km<sup>2</sup> in southern Brazil and northern Argentina (Reitz and Klein, <xref ref-type="bibr" rid="B79">1966</xref>; Mattos, <xref ref-type="bibr" rid="B62">1994</xref>; Guerra et al., <xref ref-type="bibr" rid="B43">2002</xref>). Nowadays this species is economically and culturally important (Vieira-da-Silva and Reis, <xref ref-type="bibr" rid="B93">2009</xref>; Assis et al., <xref ref-type="bibr" rid="B5">2010</xref>; Zechini et al., <xref ref-type="bibr" rid="B98">2012</xref>; Reis et al., <xref ref-type="bibr" rid="B74">2014</xref>; Adan et al., <xref ref-type="bibr" rid="B1">2016</xref>), especially for the production of seeds (<italic>pinh&#x000F5;es</italic>), which are used as food and provide a source of income for many family farmers in southern Brazil (Guerra et al., <xref ref-type="bibr" rid="B43">2002</xref>; Vieira-da-Silva and Reis, <xref ref-type="bibr" rid="B93">2009</xref>; Vieira-da-Silva et al., <xref ref-type="bibr" rid="B91">2011</xref>; Adan et al., <xref ref-type="bibr" rid="B1">2016</xref>).</p>
<p><italic>Ilex paraguariensis</italic> is a tree species native to South America and popularly known as yerba mate, <italic>erva-mate</italic> or <italic>mate</italic> (Edwin and Reitz, <xref ref-type="bibr" rid="B28">1967</xref>). The leaves are used to make a traditional tea-like beverage (<italic>Chimarr&#x000E3;o</italic>) in Brazil, Argentina, Uruguay, and Chile, and it is also a medicinal plant. It is a dioecious species with entomophilous pollination and zoocorical dispersal (mainly by birds) (Ferreira et al., <xref ref-type="bibr" rid="B34">1983</xref>; Pires et al., <xref ref-type="bibr" rid="B72">2014</xref>; Mattos, <xref ref-type="bibr" rid="B61">2015</xref>). In Brazil it is the main non-timber product (in tons) from extractive activity (IBGE, <xref ref-type="bibr" rid="B49">2014</xref>), with great economic and social importance in southern Brazil, contributing to the conservation of forest remnants through NYMS (<italic>ervais</italic>&#x02014;landscapes with yerba mate) (Marques, <xref ref-type="bibr" rid="B58">2014</xref>; Mattos, <xref ref-type="bibr" rid="B61">2015</xref>). The NYMS, however, presents a great diversity of situations, due to the different management methods and meanings these systems can have for the farmers, resulting in different landscapes (Marques, <xref ref-type="bibr" rid="B58">2014</xref>; Mattos, <xref ref-type="bibr" rid="B61">2015</xref>).</p>
<p><italic>Bromelia antiacantha</italic> (<italic>caraguat&#x000E1;</italic>) is a bromeliad native to the Atlantic Forest, and occurs in different forest formations, including Araucaria forest (Reitz, <xref ref-type="bibr" rid="B78">1983</xref>). This plant has attracted the attention of researchers (Santos et al., <xref ref-type="bibr" rid="B83">2004</xref>; Andrighetti-Fr&#x000F6;hner et al., <xref ref-type="bibr" rid="B4">2005</xref>; Brehmer, <xref ref-type="bibr" rid="B16">2005</xref>; Duarte et al., <xref ref-type="bibr" rid="B27">2007</xref>; Filippon et al., <xref ref-type="bibr" rid="B38">2012a</xref>,<xref ref-type="bibr" rid="B39">b</xref>) due to its medicinal, ornamental and industrial potential. Studies show that the use of <italic>B. antiacantha</italic> forms part of the history of Northern Plateau communities (Duarte et al., <xref ref-type="bibr" rid="B27">2007</xref>; Filippon et al., <xref ref-type="bibr" rid="B38">2012a</xref>,<xref ref-type="bibr" rid="B39">b</xref>). The <italic>caraguat&#x000E1;</italic> is found in Araucaria forest fragments (Hanisch et al., <xref ref-type="bibr" rid="B44">2006</xref>, <xref ref-type="bibr" rid="B45">2010</xref>; Mattos, <xref ref-type="bibr" rid="B60">2011</xref>; Mello, <xref ref-type="bibr" rid="B64">2013</xref>), areas where cattle graze, areas where yerba mate is grown and in hedges (Filippon, <xref ref-type="bibr" rid="B36">2009</xref>).</p>
</sec>
<sec>
<title>Field and laboratory methodology</title>
<p>This study integrates different field methodologies, including interviews with family farmers, as well as demographic and genetic studies of the above-mentioned species in a Protected Area and on farmers&#x00027; properties. In all cases the plant populations sampled were the same as in the demographic and ethnobotanical studies. Below we detail each of the analyses:</p>
<sec>
<title>Ethnobotanical studies</title>
<p>Ethnobotanical studies were conducted through semi-structured interviews with family farmers that employ the NYMS on their properties (eight interviews focused on <italic>A. angustifolia</italic>; 93 on <italic>I. paraguariensis</italic> and 41 on <italic>B. antiacantha</italic>), which sought to identify and develop questions directly related to management of the species and local use. Before each interview we obtained a prior informed consent in accordance with the code of ethics of the International Society of Ethnobiology. The interviews addressed topics associated with the naming, use and management practices employed for the three species. Guided tours were also conducted (Albuquerque et al., <xref ref-type="bibr" rid="B2">2008</xref>) with the farmers to describe the management systems and practices employed in each area. We intentionally selected the interviewees, considering only farmers who use and/or manage the target species. Interviewees were contacted through the snowball method described by Bailey (<xref ref-type="bibr" rid="B6">1994</xref>). The results are presented in a descriptive interpretative form, based on interviews and observations, and expressed as percentage of occurrence or average values with standard deviation, when necessary.</p>
</sec>
<sec>
<title>Demographic studies</title>
<p>For characterization of the population structure of the three studied species, permanent plots (40 &#x000D7; 40 m) were marked out in forest fragments of farmers&#x00027; properties, in distinct landscape units, and in the PA (in an area not managed in the last 50 years). All the trees and shrubs were marked and diameter at breast height (DBH) was measured. For the analysis we determined the density of <italic>I. paraguariensis, A. angustifolia</italic> and all species of the Myrtaceae family, considered the key structuring species (Assis et al., <xref ref-type="bibr" rid="B5">2010</xref>; Mello and Peroni, <xref ref-type="bibr" rid="B65">2015</xref>).</p>
<p>For the demographic characterization of <italic>I. paraguariensis and A. angustifolia</italic>, sampling was carried out in two different situations on the farmers&#x00027; properties, according to the local management mentioned in the interviews, and in the Protected Area:</p>
<list list-type="alpha-upper">
<list-item><p>Landscapes without cattle: areas with <italic>I. paraguariensis</italic> gathering and few interventions (8 plots on 4 properties).</p></list-item>
<list-item><p>Landscapes with cattle: areas with <italic>I. paraguariensis</italic> gathering, frequent mowing, and cattle grazing (19 plots on 5 properties).</p></list-item>
<list-item><p>PA: area with no <italic>I. paraguariensis</italic> gathering and no other interventions (12 plots).</p></list-item>
</list>
<p>Additionally, for <italic>A. angustifolia</italic>, one sample of 60 female plants, 30 on farmers&#x00027; properties and 30 in the PA, was evaluated annually (2010&#x02013;2012) in terms of number of <italic>pinhas</italic> (reproductive structures) per plant, and productivity per <italic>pinha</italic> (only 2010).</p>
<p>For the demographic characterization of <italic>B. antiacantha</italic>, permanent plots of 20 &#x000D7; 40 m were used in forests and 20 linear meters to study the <italic>caraguat&#x000E1;</italic> hedges. All rosettes of the species were counted, classified as vegetative or reproductive (considering the presence of inflorescences or infructescences) and leaf length was measured. <italic>Bromelia antiacantha</italic> populations were studied in the following areas:</p>
<list list-type="alpha-upper">
<list-item><p>Managed: livestock management (cattle, sheep, pigs and horses) (3 plots in farmer 2), livestock management (cattle, sheep, pigs, and horses), harvesting of yerba and mowing (3 plots in Farmer 1 and 2 plots in another area in farmer 2),</p></list-item>
<list-item><p>Unmanaged: areas that have been characterized for not having undergone any of the activities previously mentioned for at least 10 years previously in the case of farmer properties and 50 years in the PA (3 plots in farmer 3 and 12 plots in PA).</p></list-item>
<list-item><p>Hedges: characterized as &#x0201C;strips&#x0201D;/linear bands of <italic>B. anticantha</italic> rosettes planted, established and administered by local farmers (26 plots in farmers 1 and 2). Considered the areas with most human interference.</p></list-item>
</list>
<p>The results are expressed as average frequencies estimated per hectare, with respective standard deviations.</p>
</sec>
<sec>
<title>Genetic characterization</title>
<p>The three studied species were genetically characterized using allozyme markers, in starch gel (13%), following the recommendations of Kephart (<xref ref-type="bibr" rid="B52">1990</xref>) and Alfenas (<xref ref-type="bibr" rid="B3">1998</xref>). The extraction protocol was the same for all species, macerating fresh leaves with an automatic homogenizer and using extraction solution n&#x000B0; 1 (Alfenas, <xref ref-type="bibr" rid="B3">1998</xref>). The enzymatic systems scored for each species, as well as the buffers are described in Table <xref ref-type="table" rid="T1">1</xref>. Three buffers were utilized in the electrophoresis process: Tris Citrate pH 7.5 (Tris 27 g.L<sup>&#x02212;1</sup> and citric acid 16.52 g.L<sup>&#x02212;1</sup>), Morpholine Citrate pH 6.1 (7.68 g.L<sup>&#x02212;1</sup> citric acid) and Histidine pH 8.0 (105.82 g.L<sup>&#x02212;1</sup> sodium citrate tribasic).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Enzymatic systems used for genetic characterization of <italic>Araucaria angustifolia, Bromelia antiacantha</italic>, and <italic>Ilex paraguariensis</italic> populations.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>Araucaria angustifolia</bold></italic></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>Bromelia antiacantha</bold></italic></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>Ilex paraguariensis</bold></italic></th>
</tr>
<tr>
<th valign="top" align="left"><bold>System</bold></th>
<th valign="top" align="center"><bold>EC</bold></th>
<th valign="top" align="left"><bold>Buffer</bold></th>
<th valign="top" align="left"><bold>System</bold></th>
<th valign="top" align="center"><bold>EC</bold></th>
<th valign="top" align="left"><bold>Buffer</bold></th>
<th valign="top" align="left"><bold>System</bold></th>
<th valign="top" align="center"><bold>EC</bold></th>
<th valign="top" align="left"><bold>Buffer</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">6PGDH</td>
<td valign="top" align="center">1.1.1.44</td>
<td valign="top" align="left">CM</td>
<td valign="top" align="left">6PGDH</td>
<td valign="top" align="center">1.1.1.44</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">6PGDH</td>
<td valign="top" align="center">1.1.1.44</td>
<td valign="top" align="left">CM</td>
</tr>
<tr>
<td valign="top" align="left">ACP</td>
<td valign="top" align="center">3.1.3.2</td>
<td valign="top" align="left">HIS</td>
<td valign="top" align="left">DIA</td>
<td valign="top" align="center">1.6.4.3</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">GTDH</td>
<td valign="top" align="center">1.4.1.2</td>
<td valign="top" align="left">CM</td>
</tr>
<tr>
<td valign="top" align="left">GOT</td>
<td valign="top" align="center">2.6.1.1</td>
<td valign="top" align="left">CM</td>
<td valign="top" align="left">GTDH</td>
<td valign="top" align="center">1.4.1.2</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">IDH</td>
<td valign="top" align="center">1.1.1.42</td>
<td valign="top" align="left">TC</td>
</tr>
<tr>
<td valign="top" align="left">IDH</td>
<td valign="top" align="center">1.1.1.42</td>
<td valign="top" align="left">HIS</td>
<td valign="top" align="left">MDH</td>
<td valign="top" align="center">1.1.1.37</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">LAP</td>
<td valign="top" align="center">3.4.11.1</td>
<td valign="top" align="left">TC</td>
</tr>
<tr>
<td valign="top" align="left">LAP</td>
<td valign="top" align="center">3.4.11.1</td>
<td valign="top" align="left">HIS</td>
<td valign="top" align="left">NADH</td>
<td valign="top" align="center">1.6.99.3</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">MDH</td>
<td valign="top" align="center">1.1.1.37</td>
<td valign="top" align="left">CM</td>
</tr>
<tr>
<td valign="top" align="left">MDH</td>
<td valign="top" align="center">1.1.1.37</td>
<td valign="top" align="left">CM</td>
<td valign="top" align="left">PGI</td>
<td valign="top" align="center">5.3.1.9</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">ME</td>
<td valign="top" align="center">1.1.1.40</td>
<td valign="top" align="left">CM</td>
</tr>
<tr>
<td valign="top" align="left">ME</td>
<td valign="top" align="center">1.1.1.40</td>
<td valign="top" align="left">HIS</td>
<td valign="top" align="left">PGM</td>
<td valign="top" align="center">5.4.2.2</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">NADH</td>
<td valign="top" align="center">1.6.99.3</td>
<td valign="top" align="left">TC</td>
</tr>
<tr>
<td valign="top" align="left">PGI</td>
<td valign="top" align="center">5.3.1.9</td>
<td valign="top" align="left">CM</td>
<td valign="top" align="left">PO</td>
<td valign="top" align="center">1.11.1.7</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">PGI</td>
<td valign="top" align="center">5.3.1.9</td>
<td valign="top" align="left">TC</td>
</tr>
<tr>
<td valign="top" align="left">PGM</td>
<td valign="top" align="center">5.4.2.2</td>
<td valign="top" align="left">CM</td>
<td valign="top" align="left">SKDH</td>
<td valign="top" align="center">1.11.25</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">PGM</td>
<td valign="top" align="center">5.4.2.2</td>
<td valign="top" align="left">TC</td>
</tr>
<tr>
<td valign="top" align="left">SKDH</td>
<td valign="top" align="center">1.11.25</td>
<td valign="top" align="left">CM</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>EC, Enzyme commission number; CM, Morpholine Citrate; HIS, Histidine; TC, Tris Citrate. 6PGDH, 6-phosphogluconate dehydrogenase; ACP, acid phosphatase; DIA, diaphorase; GOT, glutamate oxaloacetate transaminase; GTDH, glutamate dehydrogenase; IDH, isocitrate dehydrogenase; LAP, leucyl aminopeptidase; MDH, malate dehydrogenase; ME, malic enzyme; NADH, NADH dehydrogenase; PGI, phosphoglucose isomerase; PGM, phosphoglucomutase; PO, peroxidase; SKDH, shikimate dehydrogenase</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Leaf tissues were collected from 50 individuals in each population. For <italic>A. angustifolia</italic> and <italic>I. paraguariensis</italic> sampling respected a minimum distance of 50 m between individuals, in order to minimize family structure. For <italic>B. antiacantha</italic>, adults/mature rosettes (leaves more than 2 m in length) were sampled, respecting at least 15 m distance between them and avoiding the collection of ramets from the same plant.</p>
</sec>
<sec>
<title>Genetic data analysis</title>
<p>Based on the genotypes obtained in gel, the following genetic descriptors were estimated: allelic frequencies (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">1</xref>), number of alleles per population/group (<inline-formula><mml:math id="M1"><mml:mover accent="true"><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>), number of unique alleles per population/group (<italic>&#x000C2;</italic><sub><italic>un</italic></sub>), mean allelic richness per loci based on the lowest sample size (<italic>&#x000C2;</italic><sub><italic>n</italic></sub>), observed (<italic>&#x00124;</italic><sub><italic>O</italic></sub>), and expected heterozygosity (<italic>&#x00124;</italic><sub><italic>E</italic></sub>) and fixation index (<inline-formula><mml:math id="M2"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>). Statistical significance (<italic>p</italic> &#x0003C; 0.05) of <inline-formula><mml:math id="M3"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula> was tested, permuting alleles between individuals within populations/groups. All these analyses were performed using the FSTAT program, version 2.9.3.2 (Goudet, <xref ref-type="bibr" rid="B41">2002</xref>).</p>
<p>In order to evaluate whether farmers conserve species genetic diversity, all these descriptors were estimated, in each species, for groups of populations inside the PA and on farmer&#x00027;s properties. In the case of <italic>B. antiacantha</italic> and <italic>I. paraguariensis</italic>, in order to evaluate possible differences between landscape units as described in the <italic>Demographic studies</italic> item, all genetic descriptors were also estimated for groups of populations in each landscape unit.</p>
<p>Possible genetic differences between farmers&#x00027; properties and PA, and between landscape units were tested through confidence intervals (95%) for <italic>&#x000C2;</italic><sub><italic>n</italic></sub>, jackknifing the values across loci in R language (R Development Core Team, <xref ref-type="bibr" rid="B73">2015</xref>) and for <italic>&#x00124;</italic><sub><italic>E</italic></sub> and <italic>&#x00124;</italic><sub><italic>O</italic></sub> through 1,000 bootstraps of individuals within population/group, also in R language, but using the &#x0201C;PopGenKit&#x0201D; package (Paquette, <xref ref-type="bibr" rid="B69">2012</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s3">
<title>Results and discussion</title>
<sec>
<title>Structural characteristics of landscapes with NYMS</title>
<p>The forest structure of the landscapes with NYMS in the region is presented in Table <xref ref-type="table" rid="T2">2</xref>, which also includes information on the total number of species, density of the araucaria and the total number of individuals of Myrtaceae and yerba mate, considered as structuring species of these landscapes (Assis et al., <xref ref-type="bibr" rid="B5">2010</xref>; Mello and Peroni, <xref ref-type="bibr" rid="B65">2015</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Structural characteristics of landscapes with <italic>Ilex paraguariensis</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Landscape unit</bold></th>
<th/>
<th valign="top" align="center"><bold>h</bold></th>
<th valign="top" align="center"><bold>DBH</bold></th>
<th valign="top" align="center"><bold>Ip</bold></th>
<th valign="top" align="center"><bold>Ip r</bold></th>
<th valign="top" align="center"><bold>Aa</bold></th>
<th valign="top" align="center"><bold>My</bold></th>
<th valign="top" align="center"><bold>Total</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Yerba management and cattle grazing (19)</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">476.3</td>
<td valign="top" align="center">7.9</td>
<td valign="top" align="center">84.9</td>
<td valign="top" align="center">104.3</td>
<td valign="top" align="center">929.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">438.1</td>
<td valign="top" align="center">12.5</td>
<td valign="top" align="center">93.9</td>
<td valign="top" align="center">112.2</td>
<td valign="top" align="center">429.3</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Yerba management and no cattle grazing (8)</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">4.1</td>
<td valign="top" align="center">4.7</td>
<td valign="top" align="center">719.5</td>
<td valign="top" align="center">72.7</td>
<td valign="top" align="center">414.8</td>
<td valign="top" align="center">1,672.7</td>
<td valign="top" align="center">5,644.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">969.9</td>
<td valign="top" align="center">151.2</td>
<td valign="top" align="center">308.7</td>
<td valign="top" align="center">961.1</td>
<td valign="top" align="center">1,336</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">No management (6)</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">4.4</td>
<td valign="top" align="center">5.4</td>
<td valign="top" align="center">580.2</td>
<td valign="top" align="center">67.7</td>
<td valign="top" align="center">219.8</td>
<td valign="top" align="center">228.1</td>
<td valign="top" align="center">5,014.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">461.8</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">82.6</td>
<td valign="top" align="center">174.9</td>
<td valign="top" align="center">1,702.1</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Total (33)</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">9.2</td>
<td valign="top" align="center">554.2</td>
<td valign="top" align="center">34.5</td>
<td valign="top" align="center">189.4</td>
<td valign="top" align="center">507</td>
<td valign="top" align="center">2,815.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="center">4.8</td>
<td valign="top" align="center">603</td>
<td valign="top" align="center">84.9</td>
<td valign="top" align="center">215.7</td>
<td valign="top" align="center">815.4</td>
<td valign="top" align="center">2,443.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>(n), number of 40 &#x000D7; 40 m plots; SD, standard deviation; h, Ilex paraguariensis mean height (m); DBH, I. paraguariensis mean diameter at breast height (cm); Ip, I. paraguariensis mean density (individuals per hectare); Ip r, I. paraguariensis mean regeneration density; Aa, Araucaria angustifolia mean density; My, Myrtaceae individuals mean density; Total, total plants mean density (including all tree and shrub species)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Demographic results presented great variation within landscape units (high standard deviations), showing peculiarities between and within the managed areas of each group (Table <xref ref-type="table" rid="T2">2</xref>). Yerba mate represented 20.9% of the individuals (588.6 plants/ha); the Myrtaceae group represented 18% (507.0 plants/ha) and araucaria 6.7% (189.4 plants/ha). These species, considered structuring species of the Araucaria forests, represented up to 45.6% of the existing plants (1,285.0 plants/ha). This result reinforces the perspective that these species are key cultural species in the context of landscapes with management of yerba mate, as mentioned in Assis et al. (<xref ref-type="bibr" rid="B5">2010</xref>). The result also demonstrates the high number of other species in the system (see also Mello and Peroni, <xref ref-type="bibr" rid="B65">2015</xref>).</p>
<p>The three structuring species (Myrtaceae, araucaria and yerba mate) have a strong historical/prehistoric relationship with the family farmers, <italic>caboclos</italic> (mestizos), and the indigenous peoples, in terms of food production and other uses in forest environments (Brandt and Campos, <xref ref-type="bibr" rid="B15">2008</xref>; Gerhardt, <xref ref-type="bibr" rid="B40">2009</xref>; Reis et al., <xref ref-type="bibr" rid="B74">2014</xref>). This reinforces the recognition of human contributions to changes in vegetation patterns. Human activity influences species dynamics, which can lead to a new equilibrium and directional changes, or result in vegetation with different characteristics (Wiersum, <xref ref-type="bibr" rid="B96">1997a</xref>; Clement, <xref ref-type="bibr" rid="B19">1999</xref>; Trombulak et al., <xref ref-type="bibr" rid="B89">2004</xref>; Casas et al., <xref ref-type="bibr" rid="B18">2007</xref>; Steenbock et al., <xref ref-type="bibr" rid="B87">2011</xref>).</p>
</sec>
<sec>
<title>Local perceptions of landscapes with NYMS</title>
<p>Historically on the Northern Plateau (SC) there is a link between native landscapes with the presence of yerba mate and harvesting practices carried out by farmers (Valentini, <xref ref-type="bibr" rid="B90">2003</xref>; Barreto, <xref ref-type="bibr" rid="B9">2009</xref>; Gerhardt, <xref ref-type="bibr" rid="B40">2009</xref>; Grzebieluka and Sahr, <xref ref-type="bibr" rid="B42">2009</xref>; Schuster and Sahr, <xref ref-type="bibr" rid="B84">2009</xref>). This link should be considered in order to understand how farmers interpret their landscapes and make decisions with regard to their subsistence. These management practices are multi-dimensional and involve actions that are fundamental for maintenance of useful resources. This know-how constitutes part of the people&#x00027;s traditional ecological knowledge (TEK), which has been defined as a cumulative body of knowledge, beliefs and practices developed through adaptive processes, and involves cultural transmission over generations (Berkes et al., <xref ref-type="bibr" rid="B12">2000</xref>).</p>
<p>For all the interviewed farmers the presence of <italic>A. angustifolia</italic> defines the landscape and holds connotations of regional identity associated with their ancestors. However, these farmers collect <italic>pinh&#x000E3;o</italic> only for their own consumption, not for commercialization, since they consider yerba mate and cattle as the income-generating elements of the system. This differs from other regions, where gathering is carried out primarily for sale (Vieira-da-Silva and Reis, <xref ref-type="bibr" rid="B93">2009</xref>; Vieira-da-Silva et al., <xref ref-type="bibr" rid="B91">2011</xref>; Zechini et al., <xref ref-type="bibr" rid="B98">2012</xref>; Adan et al., <xref ref-type="bibr" rid="B1">2016</xref>).</p>
<p>Most of the informants (57%) referred to the forest environment with yerba mate harvesting using local terms, reflecting the close connection between farmers and their forest area. This form of naming consists of identification and classification of distinctive components of the managed environments. It contains empirical observations and information about the behavior and abundance of flora and domestic fauna. Farmers relied on such knowledge to ensure a supply of food, medicines and other subsistence resources. They mentioned four names: <italic>ca&#x000ED;va</italic> (51.9%), <italic>potreiro</italic> (16.7%), <italic>invernada</italic> (16.7%), and <italic>mato nativo</italic> (14.7%). <italic>Ca&#x000ED;vas</italic> are ecosystems containing remnants of native Araucaria forests, with different levels of forest structure and grazing in the herbaceous stratum; pastures may be natural or naturalized (Marques et al., <xref ref-type="bibr" rid="B57">2008</xref>; Reis et al., <xref ref-type="bibr" rid="B77">2013</xref>). This landscape has been created due to the permanence, for decades, of a traditional productive system combining grazing of the herbaceous stratum with yerba mate and firewood extraction in the understory (Marques et al., <xref ref-type="bibr" rid="B57">2008</xref>; Reis et al., <xref ref-type="bibr" rid="B77">2013</xref>; Marques, <xref ref-type="bibr" rid="B58">2014</xref>). Thus, the presence of cattle in many areas is a determining factor of this system, due to the value added by the sale of livestock. <italic>Mato nativo, potreiro</italic> and <italic>invernada</italic> are areas with some degree of Araucaria forest cover and yerba mate management; in the first there is no livestock production, in contrast to the other two.</p>
<p>Most of the NYMS areas (<italic>ervais</italic>) are located in places (soil, topography) of excellent to good agricultural aptitude, and consequently, with high pressure for conversion into crops. Yerba mate is cited as one of the main reasons for non-conversion in 80% of cases, and the multiple-use forest (timber, firewood, and yerba mate) with the livestock, in 55% of cases.</p>
<p>On the Northern Plateau (SC), yerba mate is managed in several situations; for instance, Marques (<xref ref-type="bibr" rid="B58">2014</xref>) identified 13 typologies (including situations with planted yerba mate). However, the main landscape is considered to be forest, occupying about 80% of the area, with yerba mate management, among which the <italic>ca&#x000ED;vas</italic> stand out.</p>
<p>All farmers considered yerba mate important mainly because it is a low-risk activity, with little investment and labor demand, associated with landscapes which have different uses. According to all interviewed farmers, the NYMS constitutes a stabilizing element on their property, capable of generating resources for forest areas and linked to strong cultural aspects, as well as being a pleasurable activity for the great majority of farmers, according to those who were interviewed. These aspects reinforce the role of these family farmers as maintainers of Araucaria forest fragments nowadays.</p>
<p>An additional relevant aspect is the preference shown by Brazilian consumers for a product (ground tea-like leaves for <italic>chimarr&#x000E3;o</italic>) with a milder flavor (de Oliveira Suertegaray, <xref ref-type="bibr" rid="B26">2002</xref>) from herbs grown in shade (native yerba mate), implying higher prices paid by the industry for the raw material originating from this system (EPAGRI/CEPA, <xref ref-type="bibr" rid="B32">2017</xref>).</p>
<p>In these forest systems, rather than generating significant income in relation to total gross income, yerba mate constitutes an important reserve for 72% of the families, with the characteristics of a savings account, to be used in investments, emergencies and payment of debts.</p>
</sec>
<sec>
<title>Local management practices in NYMS</title>
<p>Yerba mate occurs spontaneously in the forest understory, but farmers (98.9%) promote it through removal of certain tree species and periodic mowing of shrub and arborescent vegetation. According to farmers, the presence of animal grazing also contributes to the control of this vegetation. In addition, yerba mate is planted (59.1%) in many situations using seedlings removed from other forest sites (5.4%), produced on the property (23.2%) or even bought from commercial nurseries (71.4%). However, the observed yerba mate natural regeneration is low (Table <xref ref-type="table" rid="T2">2</xref>), since the farmers tend to prune all the plants without worrying about leaving seed trees.</p>
<p>For araucaria, besides the collection of <italic>pinh&#x000E3;o</italic> no other practices were recorded for the species in the interviews. However, farmers recognize at least four varieties of female pine nut production plants (population variation as detected by Adan et al., <xref ref-type="bibr" rid="B1">2016</xref> in another region): <italic>S&#x000E3;o Jos&#x000E9;, Comum, Cayov&#x000E1;</italic>, and <italic>Macaco</italic>. The differences are associated with the maturation times of <italic>pinh&#x000E3;o</italic>, an aspect already highlighted in other works (Vieira-da-Silva and Reis, <xref ref-type="bibr" rid="B93">2009</xref>; Zechini et al., <xref ref-type="bibr" rid="B98">2012</xref>; Adan et al., <xref ref-type="bibr" rid="B1">2016</xref>) and they are even classified as botanical varieties (Reitz and Klein, <xref ref-type="bibr" rid="B79">1966</xref>; Mattos, <xref ref-type="bibr" rid="B62">1994</xref>) (see Adan et al., <xref ref-type="bibr" rid="B1">2016</xref> for further discussion).</p>
<p>The <italic>pinh&#x000F5;es</italic> average yield, evaluated by a sample of 30 trees from farms, was 11.1 <italic>pinhas</italic>/tree between 2010 and 2012, with 3.6, 8.5, and 21.1 <italic>pinhas</italic>/tree for the years 2010, 2011, and 2012 respectively. Average productivity over the years was 71.1 kg/ha, with 23.0 kg/ha in 2010, 54.9 kg/ha in 2011 and 135.3 kg/ha in 2012. In the PA sample observations were made in the years 2011 and 2012, and the average production for these was 17.5 <italic>pinhas</italic>/tree, with averages of 11.8 in 2011 and 23.2 <italic>pinhas</italic>/tree in 2012. The average productivity of 2011 and 2012 was 333.0 kg/ha, varying from 224.3 kg/ha in 2011 to 441.7 kg/ha in 2012.</p>
<p><italic>Pinh&#x000F5;es</italic> productivity per hectare estimated for all populations was higher than that found by Vieira-da-Silva and Reis (<xref ref-type="bibr" rid="B93">2009</xref>) in 2006 (44.3 kg/ha) and by Mantovani et al. (<xref ref-type="bibr" rid="B56">2004</xref>) in 2001, and similar to that found by these authors in 2002 (117 and 160 kg/ha, respectively). In general, differences in productivity are attributed to the number of female individuals per hectare and the degree of forest evolution (Vieira-da-Silva and Reis, <xref ref-type="bibr" rid="B93">2009</xref>; Figueiredo-Filho et al., <xref ref-type="bibr" rid="B35">2011</xref>). The number of female plants producing <italic>pinhas</italic> varied between years; considering the entire period evaluated, the average number of female plants in production was 13.9 on farms, while in PA the this average was 29.6.</p>
<p>In economic terms, forests located in certain areas would yield (at the average price paid by regional markets of R$ 2.00/kg of <italic>pinh&#x000E3;o</italic>) on average, R$ 142.00 per hectare, from commercialization of the <italic>pinh&#x000E3;o</italic>. Although <italic>pinh&#x000E3;o</italic> is less economically attractive than yerba mate in the region of Tr&#x000EA;s Barras (Zechini et al., <xref ref-type="bibr" rid="B98">2012</xref>), this resource represents an important source of income for many rural families in the state of Santa Catarina (Vieira-da-Silva and Reis, <xref ref-type="bibr" rid="B93">2009</xref>; Adan et al., <xref ref-type="bibr" rid="B1">2016</xref>).</p>
<p>An important aspect is the great variation in <italic>pinh&#x000E3;o</italic> productivity in different years of production, as already mentioned by Mattos (<xref ref-type="bibr" rid="B62">1994</xref>), Mantovani et al. (<xref ref-type="bibr" rid="B56">2004</xref>), and Vieira-da-Silva and Reis (<xref ref-type="bibr" rid="B93">2009</xref>), and even between relatively close sites (Zechini et al., <xref ref-type="bibr" rid="B98">2012</xref>). This variation reflects the unpredictability of production that is also used by farmers as an argument for the lower value of <italic>pinh&#x000E3;o</italic> as a trade product in the region.</p>
<p>Considering the management practices carried out by farmers, the population structure of yerba mate and structure of the forest fragments (considering the set of structuring species&#x02014;araucaria, yerba mate and several Myrtaceae), two main landscapes were detected:</p>
<list list-type="alpha-upper">
<list-item><p>Landscapes without cattle: areas used with few anthropic interventions (no livestock presence and no mowing), but with yerba mate management practices. These practices can be more drastic, such as pruning with shears every 3 years or less drastic, such as &#x0201C;hand&#x0201D; pruning every 4 years.</p></list-item>
<list-item><p>Landscapes with cattle: areas used with more intense interventions, such as the presence of cattle and mowing. Includes the same management characteristics for herbaceous plants as the previous group.</p></list-item>
</list>
<p>In both cases there are practices for protection of yerba mate plants, including possible transplanting and enrichment with plants from the same forest fragment or seedlings produced by farmers.</p>
</sec>
<sec>
<title>The <italic>Caraguat&#x000E1;</italic> uses and management in the NYSM</title>
<p><italic>Caraguat&#x000E1;</italic> has been used for a long time in the region, for various purposes (Filippon, <xref ref-type="bibr" rid="B37">2014</xref>). The fruits of this plant are used for medicinal treatment of, for example, pulmonary diseases (bronchitis/asthma) and influenza (Filippon, <xref ref-type="bibr" rid="B36">2009</xref>; Filippon et al., <xref ref-type="bibr" rid="B38">2012a</xref>). Uses of the species for making liquor and jelly were also cited in Filippon (<xref ref-type="bibr" rid="B37">2014</xref>) but the most frequently cited use (60%) was for hedges.</p>
<p><italic>Caraguat&#x000E1;</italic> hedges were very common in the region from 1900 to 1960. According to farmers, this kind of fencing was used especially for pig farming; animals can&#x00027;t pass through the hedge due to the high density of rosettes and the thorns in their leaves. <italic>Caraguat&#x000E1;</italic> hedges are also used in other kinds of animal breeding like sheep, horses and cattle. Nowadays this type of pig breeding is no longer common; however, the hedges still remain on the properties. Some farmers still plant new <italic>caraguat&#x000E1;</italic> hedges, following tradition, and taking advantage of the efficiency of this type of fencing to hold animals in and establish property boundaries.</p>
<p>The density of <italic>B. antiacantha</italic> rosettes varies between studied areas. The unmanaged area presented the greatest density of rosettes and reproductive rosettes per hectare when compared to the managed areas (Table <xref ref-type="table" rid="T3">3</xref>). Hedges possess, on average, the highest population density of all the sampled areas (316 times greater than that of the population in the unmanaged area), and also the highest number of the reproductive rosettes (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Rosette density (per hectare) of <italic>Bromelia antiacantha</italic> in unmanaged, managed, and hedge populations.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Unmanaged (15<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref>)</bold></th>
<th valign="top" align="center"><bold>Managed (8<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref>)</bold></th>
<th valign="top" align="center"><bold>Hedge (26<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref>)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Genets</td>
<td valign="top" align="center">433 &#x000B1; 174</td>
<td valign="top" align="center">84 &#x000B1; 102</td>
<td valign="top" align="center">20.619 &#x000B1; 20.344</td>
</tr>
<tr>
<td valign="top" align="left">genets/total</td>
<td valign="top" align="center">19%</td>
<td valign="top" align="center">11%</td>
<td valign="top" align="center">3%</td>
</tr>
<tr>
<td valign="top" align="left">Ramets</td>
<td valign="top" align="center">1.873 &#x000B1; 643</td>
<td valign="top" align="center">656 &#x000B1; 464</td>
<td valign="top" align="center">708.804 &#x000B1; 542.791</td>
</tr>
<tr>
<td valign="top" align="left">ramets/total</td>
<td valign="top" align="center">81%</td>
<td valign="top" align="center">89%</td>
<td valign="top" align="center">97%</td>
</tr>
<tr>
<td valign="top" align="left">Average</td>
<td valign="top" align="center">2.306 &#x000B1; 752</td>
<td valign="top" align="center">741 &#x000B1; 548</td>
<td valign="top" align="center">729.423 &#x000B1; 558.507</td>
</tr>
<tr>
<td valign="top" align="left">Reproductive</td>
<td valign="top" align="center">93 &#x000B1; 38</td>
<td valign="top" align="center">42 &#x000B1; 30</td>
<td valign="top" align="center">58.058 &#x000B1; 37.290</td>
</tr>
<tr>
<td valign="top" align="left">reproductive/total</td>
<td valign="top" align="center">4%</td>
<td valign="top" align="center">6%</td>
<td valign="top" align="center">8%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>average values &#x000B1; confidence interval; &#x003B1; &#x0003D; 0.05</italic>.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>Number of 20 &#x000D7; 40 m permanent plots;</italic></p></fn>
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p><italic>number of samples of &#x0201C;20 linear meters.&#x0201D;</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Ramet proportions were high in all three situations; however, among these, the hedges stood out with up to 97% ramets (Table <xref ref-type="table" rid="T3">3</xref>). In comparison to managed areas and hedges, the unmanaged area showed the highest average densities of genets per hectare. There was also variation in the proportion of reproductive rosettes. This variation is reflected in all landscape units including the hedges; that is, when the number of reproductive individuals was low in managed and unmanaged areas, it was also low in hedges (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<p>The <italic>caraguat&#x000E1;</italic> hedges were, and still are, made with rosettes harvested from the Araucaria forest fragments, where <italic>I. paraguariensis</italic> is extracted and where cattle graze. Sometimes the ramets used in hedges are donations from neighbors who want to &#x0201C;clean&#x0201D; the area to improve pasture for cattle, or want better conditions for working with yerba mate, since the <italic>caraguat&#x000E1;</italic> thorns make the farmers&#x00027; work more difficult.</p>
<p>On these occasions the number of rosettes removed is generally high, and the farmers who receive them have an abundance of ramets to plant, so they can generally choose the strongest, lushest and youngest rosettes (0.8&#x02013;1 m leaf length). This intention of making a hedge and the selection of rosettes allows us to highlight a domestication process. These management practices (choosing rosettes, building, and hedge maintenance) employed by local farmers generate a change in landscape, tending toward greater productivity and convenience.</p>
<p>In these areas <italic>caraguat&#x000E1;</italic> is not the main focus, but a means of adaptation of the landscape to facilitate the development of activities that generate income for the property, such as the harvesting of yerba mate and cattle grazing. Thus, from this perspective, management (mowing) of <italic>caraguat&#x000E1;</italic> can be seen as a consequence of this domesticated landscape for the production of yerba mate and/or cattle grazing.</p>
</sec>
<sec>
<title>Genetic diversity and conservation on farms</title>
<p>Genetic descriptors for groups of populations in PA or on farmers&#x00027; properties (the same for the three species) are presented in Table <xref ref-type="table" rid="T4">4</xref>. In general, the data indicate that genetic diversity of the three species is being better maintained on the farmers&#x00027; properties, compared to the PA. This result can be interpreted as arising from the common effect of past overexploitation; however, it is also an indication that the medium-term possibilities of maintaining diversity are similar in both situations, for the three species, reinforcing the possibility of conservation by use.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Genetic descriptors estimated for <italic>Araucaria angustifolia</italic> (A.a), <italic>Ilex paraguariensis</italic> (I.p), and <italic>Bromelia antiacantha</italic> (B.a) populations grouped per occurrence in Protected Area (PA) or on Farmers&#x00027; Properties.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Species</bold></th>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="center"><bold>n</bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M4"><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>k</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M5"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>A</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>u</mml:mi><mml:mi>n</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M6"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>A</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>n</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M7"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>H</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>E</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M8"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>H</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>O</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M9"><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>f</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">A.a</td>
<td valign="top" align="left">PA</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.99</td>
<td valign="top" align="center">0.075</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="center">&#x02212;0.065</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.92/2.06)</td>
<td valign="top" align="center">(0.060/0.087)</td>
<td valign="top" align="center">(0.062/0.096)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 1</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.92</td>
<td valign="top" align="center">0.072</td>
<td valign="top" align="center">0.075</td>
<td valign="top" align="center">&#x02212;0.041</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.87/1.97)</td>
<td valign="top" align="center">(0.059/0.085)</td>
<td valign="top" align="center">(0.057/0.095)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 2</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">&#x02212;0.004</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.71/1.83)</td>
<td valign="top" align="center">(0.065/0.089)</td>
<td valign="top" align="center">(0.063/0.097)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 3</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">0.079</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="center">&#x02212;0.014</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.72/1.82)</td>
<td valign="top" align="center">(0.064/0.090)</td>
<td valign="top" align="center">(0.062/0.096)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left" style="border-top: thin solid #000000;">Mean</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">51</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">24</td>
<td style="border-top: thin solid #000000;"/>
<td valign="top" align="center" style="border-top: thin solid #000000;">1.86</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.076</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.078</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">&#x02212;0.030</td>
</tr>
<tr>
<td/>
<td valign="top" align="left" style="border-top: thin solid #000000;">All</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">205</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">31</td>
<td style="border-top: thin solid #000000;"/>
<td valign="top" align="center" style="border-top: thin solid #000000;">1.92</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.077</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.078</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">&#x02212;0.018</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">I.p</td>
<td valign="top" align="left">PA</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">0.245</td>
<td valign="top" align="center">0.232</td>
<td valign="top" align="center">0.055</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.56/2.71)</td>
<td valign="top" align="center">(0.225/0.265)</td>
<td valign="top" align="center">(0.208/0.256)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 1</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2.61</td>
<td valign="top" align="center">0.246</td>
<td valign="top" align="center">0.237</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.54/2.68)</td>
<td valign="top" align="center">(0.225/0.267)</td>
<td valign="top" align="center">(0.211/0.263)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 2</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.56</td>
<td valign="top" align="center">0.255</td>
<td valign="top" align="center">0.252</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.49/2.62)</td>
<td valign="top" align="center">(0.239/0.271)</td>
<td valign="top" align="center">(0.233/0.271)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 3</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.18</td>
<td valign="top" align="center">0.243</td>
<td valign="top" align="center">0.233</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.11/2.25)</td>
<td valign="top" align="center">(0.218/0.268)</td>
<td valign="top" align="center">(0.198/0.268)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left" style="border-top: thin solid #000000;">Mean</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">87</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">29</td>
<td style="border-top: thin solid #000000;"/>
<td valign="top" align="center" style="border-top: thin solid #000000;">2.50</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.247</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.238</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.036</td>
</tr>
<tr>
<td/>
<td valign="top" align="left" style="border-top: thin solid #000000;">All</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">348</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">35</td>
<td style="border-top: thin solid #000000;"/>
<td valign="top" align="center" style="border-top: thin solid #000000;">2.65</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.250</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.239</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.042</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">B.a</td>
<td valign="top" align="left">PA</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">0.150</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">0.144<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.78/1.85)</td>
<td valign="top" align="center">(0.133/0.167)</td>
<td valign="top" align="center">(0.110/0.146)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 1</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.91</td>
<td valign="top" align="center">0.178</td>
<td valign="top" align="center">0.169</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.86/1.95)</td>
<td valign="top" align="center">(0.167/0.189)</td>
<td valign="top" align="center">(0.153/0.185)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 2</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.91</td>
<td valign="top" align="center">0.170</td>
<td valign="top" align="center">0.163</td>
<td valign="top" align="center">0.044</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.86/1.96)</td>
<td valign="top" align="center">(0.157/0.183)</td>
<td valign="top" align="center">(0.148/0.178)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer 3</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.83</td>
<td valign="top" align="center">0.148</td>
<td valign="top" align="center">0.137</td>
<td valign="top" align="center">0.074</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.79/1.87)</td>
<td valign="top" align="center">(0.128/0.168)</td>
<td valign="top" align="center">(0.114/0.16)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left" style="border-top: thin solid #000000;">Mean</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">112</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">26</td>
<td style="border-top: thin solid #000000;"/>
<td valign="top" align="center" style="border-top: thin solid #000000;">1.87</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.162</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.149</td>
<td valign="top" align="center" style="border-top: thin solid #000000;">0.077</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td/>
<td valign="top" align="left">All</td>
<td valign="top" align="center">446</td>
<td valign="top" align="center">31</td>
<td/>
<td valign="top" align="center">1.95</td>
<td valign="top" align="center">0.170</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">0.096</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>n, Sample size; <inline-formula><mml:math id="M10"><mml:mover accent="true"><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>, number of alleles per group; <italic>&#x000C2;</italic><sub>un</sub>, number of unique alleles per group; <italic>&#x000C2;</italic><sub>n</sub>, mean allelic richness per loci based on the lowest sample size (51 for A.a, 50 for I.p and 41 for B.a); <italic>&#x00124;</italic><sub>O</sub>, observed heterozygosity; <italic>&#x00124;</italic><sub>E</sub>, expected heterozygosity; <inline-formula><mml:math id="M11"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>, fixation index; Confidence intervals (95%) are shown in parenthesis;</italic></p>
<fn id="TN3">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The mean expected heterozygosity (genetic diversity - <italic>&#x00124;</italic><sub><italic>E</italic></sub>) estimated for <italic>A. angustifolia</italic> varied between 0.079 and 0.072 and did not differ in the four situations evaluated (Table <xref ref-type="table" rid="T4">4</xref>). Thirty-one distinct alleles were detected, ranging from 23 to 26 in the different situations, with unique alleles present in both PA (2) and farmers&#x00027; properties (3). It should be noted that the number of alleles found in PA (26) was higher, on average, than that found on each of the properties; however, the number found for the set of properties (28) was higher, including 3 unique alleles. In all situations the fixation index (<inline-formula><mml:math id="M28"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>) was not different from zero (Table <xref ref-type="table" rid="T4">4</xref>).</p>
<p>The estimated values were lower than the mean values obtained in a large study in the SC (Reis et al., <xref ref-type="bibr" rid="B75">2012</xref>), which evaluated 31 <italic>A. angustifolia</italic> populations (13 allozymic loci). The values found were lower than the SC average for <italic>&#x00124;</italic><sub><italic>E</italic></sub> (0.124) and total number of alleles (51), but similar in terms of regional (Northern Plateau) <italic>&#x00124;</italic><sub><italic>E</italic></sub> mean (0.104) and total number of alleles detected (30). Thus, in general, for <italic>A. angustifolia</italic>, there were no differences between the diversity maintained in PA and on farmers&#x00027; properties. In all the studied situations for <italic>A. angustifolia</italic> on agricultural properties, the practices associated with the species are similar, involving maintenance of the adult individuals and cone collection.</p>
<p>For yerba mate populations, the mean <italic>&#x00124;</italic><sub><italic>E</italic></sub> ranged from 0.255 to 0.243, with no difference between the situations evaluated (Table <xref ref-type="table" rid="T4">4</xref>). For the set of populations 35 different alleles were detected, ranging from 24 to 31 in the different situations, with the presence of unique alleles in both PA (3) and farmers&#x00027; properties (2). The set of populations on farm properties presented 32 alleles while 31 alleles were detected in PA. Estimated <inline-formula><mml:math id="M29"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula> was not different from zero in all situations (Table <xref ref-type="table" rid="T4">4</xref>).</p>
<p><italic>Caraguat&#x000E1;</italic> populations presented mean <italic>&#x00124;</italic><sub><italic>E</italic></sub> ranging from 0.148 to 0.178, not differing between the studied situations (Table <xref ref-type="table" rid="T4">4</xref>). Thirty-one different alleles were detected for the set of populations, varying from 24 to 27 in the different situations, and unique alleles were detected in both PA (1) and farmers&#x00027; properties (5). Protected Area unit presented 25 alleles while the set of farm populations harbored 29 alleles. The fixation index was significant (0.144) only in PA, not differing from zero on farms (Table <xref ref-type="table" rid="T4">4</xref>).</p>
</sec>
<sec>
<title>Genetic diversity in different landscapes</title>
<p>For yerba mate, management practices and systems determine two distinct landscapes. Thus, Table <xref ref-type="table" rid="T5">5</xref> presents the diversity indexes considering population groups sampled in both landscapes, as well as the indexes referring to two populations sampled in the Tr&#x000EA;s Barras National Forest (PA), representing unmanaged populations. The mean values for <italic>&#x00124;</italic><sub><italic>E</italic></sub> do not differ between situations; however, allelic richness (<italic>&#x000C2;</italic><sub>96</sub>) was higher in the unmanaged area. On the other hand, <inline-formula><mml:math id="M30"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula> was significant only in the unmanaged area (Table <xref ref-type="table" rid="T5">5</xref>). Unique alleles were found in two situations, 4 in non-managed populations and 3 in populations with yerba mate management and cattle grazing.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Genetic descriptors estimated for <italic>Ilex paraguariensis</italic> in different landscape units.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Landscape</bold></th>
<th valign="top" align="center"><bold><italic>n</italic></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M12"><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>k</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M13"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>A</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>u</mml:mi><mml:mi>n</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M14"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>A</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mn>96</mml:mn></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M15"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>H</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>E</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M16"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>H</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>O</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M17"><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>f</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">No management</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3.08</td>
<td valign="top" align="center">0.230</td>
<td valign="top" align="center">0.215</td>
<td valign="top" align="center">0.063<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">(PA)</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.98/3.19)</td>
<td valign="top" align="center">(0.208/0.252)</td>
<td valign="top" align="center">(0.192/0.238)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Management and cattle grazing</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.77</td>
<td valign="top" align="center">0.241</td>
<td valign="top" align="center">0.234</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">(6 farms sampled)</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.69/2.85)</td>
<td valign="top" align="center">(0.230/0.252)</td>
<td valign="top" align="center">(0.221/0.247)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Management and no cattle grazing</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2.37</td>
<td valign="top" align="center">0.216</td>
<td valign="top" align="center">0.212</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left">(3 farms sampled)</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.30/2.44)</td>
<td valign="top" align="center">(0.202/0.230)</td>
<td valign="top" align="center">(0.196/0.228)</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">183</td>
<td valign="top" align="center">31</td>
<td/>
<td valign="top" align="center">2.74</td>
<td valign="top" align="center">0.229</td>
<td valign="top" align="center">0.220</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">All</td>
<td valign="top" align="center">548</td>
<td valign="top" align="center">37</td>
<td/>
<td valign="top" align="center">2.86</td>
<td valign="top" align="center">0.233</td>
<td valign="top" align="center">0.224</td>
<td valign="top" align="center">0.037</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>PA, Protected Area; n, sample size; <inline-formula><mml:math id="M18"><mml:mover accent="true"><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>, number of alleles per landscape unit; <italic>&#x000C2;</italic><sub>un</sub>, number of unique alleles per landscape unit; <italic>&#x000C2;</italic><sub>96</sub>, mean allelic richness per loci based on the lowest sample size (96); <italic>&#x00124;</italic><sub>O</sub>, observed heterozygosity; <italic>&#x00124;</italic><sub>E</sub>, expected heterozygosity; <inline-formula><mml:math id="M19"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>, fixation index; confidence intervals (95%) are shown in parenthesis;</italic></p>
<fn id="TN4">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p><italic>Caraguat&#x000E1;</italic> populations presented some differences in heterozygosities (<italic>&#x00124;</italic><sub><italic>O</italic></sub> and <italic>&#x00124;</italic><sub><italic>E</italic></sub>) between landscapes. Mean values of <italic>&#x00124;</italic><sub><italic>O</italic></sub> and <italic>&#x00124;</italic><sub><italic>E</italic></sub> for hedges were significantly higher than those estimated for unmanaged landscape (Table <xref ref-type="table" rid="T6">6</xref>). Hedges also presented higher numbers of alleles (<inline-formula><mml:math id="M31"><mml:mover accent="true"><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula> &#x0003D; 28), unique alleles (<italic>&#x000C2;</italic><sub><italic>un</italic></sub> &#x0003D; 3) and allelic richness (<italic>&#x000C2;</italic><sub><italic>n</italic></sub> &#x0003D; 2.15) than all other landscape units. Fixation indexes were significantly different from zero in the unmanaged landscape. In this case, the reduced number of rosettes when compared to the hedges may contribute to more crossing between relatives.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Genetic descriptors estimated for <italic>Bromelia antiacantha</italic> in different landscape units.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Landscape</bold></th>
<th valign="top" align="center"><bold><italic>n</italic></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M20"><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>k</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M21"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>A</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>u</mml:mi><mml:mi>n</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M22"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>A</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mn>48</mml:mn></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M23"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>H</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>E</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M24"><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>H</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>O</mml:mi></mml:mstyle></mml:mrow></mml:msub></mml:math></inline-formula></bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M25"><mml:mover accent="true"><mml:mrow><mml:mstyle mathvariant="bold"><mml:mi>f</mml:mi></mml:mstyle></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Unmanaged</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.99</td>
<td valign="top" align="center">0.153</td>
<td valign="top" align="center">0.131</td>
<td valign="top" align="center">0.143<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.95/2.03)</td>
<td valign="top" align="center">(0.143/0.163)</td>
<td valign="top" align="center">(0.116/0.146)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Managed</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.92</td>
<td valign="top" align="center">0.165</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.87/1.97)</td>
<td valign="top" align="center">(0.154/0.176)</td>
<td valign="top" align="center">(0.142/0.170)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hedge</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.15</td>
<td valign="top" align="center">0.181</td>
<td valign="top" align="center">0.176</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.08/2.20)</td>
<td valign="top" align="center">(0.172/0.190)</td>
<td valign="top" align="center">(0.163/0.189)</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">26</td>
<td/>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">0.166</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">All</td>
<td valign="top" align="center">446</td>
<td valign="top" align="center">31</td>
<td/>
<td valign="top" align="center">2.16</td>
<td valign="top" align="center">0.170</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">0.096</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>n, Sample size; <inline-formula><mml:math id="M26"><mml:mover accent="true"><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>, number of alleles per landscape unit; <italic>&#x000C2;</italic><sub>un</sub>, number of unique alleles per landscape unit; <italic>&#x000C2;</italic><sub>48</sub>, mean allelic richness per loci based on the lowest sample size (48); <italic>&#x00124;</italic><sub>O</sub>, observed heterozygosity; <italic>&#x00124;</italic><sub>E</sub>, expected heterozygosity; <inline-formula><mml:math id="M27"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>, fixation index; confidence intervals (95%) are shown in parenthesis;</italic></p>
<fn id="TN5">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The higher <italic>&#x00124;</italic><sub><italic>O</italic></sub>, <italic>&#x00124;</italic><sub><italic>E</italic></sub>, <inline-formula><mml:math id="M32"><mml:mover accent="true"><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula>, <italic>&#x000C2;</italic><sub><italic>un</italic></sub> and <italic>&#x000C2;</italic><sub>48</sub> values and the non-significant <inline-formula><mml:math id="M33"><mml:mover accent="true"><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mo>^</mml:mo></mml:mover></mml:math></inline-formula> estimated for hedges, compared to unmanaged populations, could be related to the origin of the plants (from the same or different locations) used for hedge construction and to the selection of plants for hedges. As mentioned earlier, on many occasions neighbors donated the seedlings for hedges, mainly when the land was cleared, so any single hedge could have been made with seedlings from different populations, possibly increasing their number of alleles and heterozygotes.</p>
<p>In this context, observing the genetic diversity indexes obtained for <italic>B. antiacantha</italic>, it can be inferred that the hedges presented greater genetic diversity than populations that had not been managed for over 50 years, in accordance with results from other studies (Otero-Arnaiz et al., <xref ref-type="bibr" rid="B68">2005</xref>; Zizumbo-Villarreal et al., <xref ref-type="bibr" rid="B99">2013</xref>). This aspect is possibly due to the way the hedges are constructed, with rosettes from sites of natural occurrence of the species (forests).</p>
<p>Demographic studies showed that either by greater exposure to light in the hedge or other factors such as soil and temperature, the hedge had more reproductive rosettes (Table <xref ref-type="table" rid="T3">3</xref>). The rosettes may come from various populations/farms with different genetic characteristics, which may contribute to greater diversity in hedges. In this sense, <italic>caraguat&#x000E1;</italic> fences can be seen as a metapopulation of the species, where each population of a landscape unit is a subpopulation.</p>
<p>Finally, it is possible to argue that the decrease in genetic diversity, as one of the indicators of domestication generally suggested in the literature, must be taken into account in relation to management practices. Thus, the fact that intensively managed populations present greater genetic diversity than unmanaged ones does not imply that they are considered less domesticated than the others, in the sense of human intervention in the population and in the landscape.</p>
<p>In addition, the farmers&#x00027; way of life related to the gathering of rosettes in different populations is a result of management of the <italic>ervais</italic> (NYMS). In this sense there is an opportunity to &#x0201C;collect seedlings&#x0201D; from an activity directed by other managements which generate income for the property, like cattle and yerba mate. This fact differentiates the <italic>caraguat&#x000E1;</italic> from other plants cultivated and used in hedges: the use of these seedlings is desired, and in turn they are collected from different populations. Thus, the fact that the yerba mate areas are managed together with the existence of farmers interested in making <italic>caraguat&#x000E1;</italic> hedges increases species diversity. Therefore, this domestication process has a tendency to increase genetic diversity.</p>
<p>Both ethnobotanical and genetic studies show that <italic>caraguat&#x000E1;</italic> hedges can be seen as a form of on-farm conservation of genetic diversity. Traditionally, the focus of conservation has been the creation of reserves, and much has been debated about the size, form and number of reserves that must be created (Wiens, <xref ref-type="bibr" rid="B94">1997</xref>). However, more recently this trend has been directed toward seeking alternatives that allow not only conservation, but also use, maintenance, and even an increase in population diversity (Clement et al., <xref ref-type="bibr" rid="B23">2007</xref>). In this sense, on-farm conservation has been seen as a great opportunity for the conservation of species of human interest (Dawson et al., <xref ref-type="bibr" rid="B24">2013</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Conclusion: conservation-by-use in araucaria forests</title>
<p>The management systems and practices conducted by farmers maintain the landscape with productive forest fragments, favoring the conservation of these species. The different landscape units, which include the three studied species at the same time, occur predominantly in fragments of less than 50 hectares (mean &#x0003D; 45.8 &#x000B1; 33.4 ha), and represent, on average, 45.8% of the total property area. Several landscapes and management systems generally occur on the same property, forming a mosaic of situations (Marques, <xref ref-type="bibr" rid="B58">2014</xref>; Mattos, <xref ref-type="bibr" rid="B61">2015</xref>). These distinct fragments of a wider landscape form a unique situation that allows a high level of gene flow between the various units, favoring maintenance of the genetic diversity of each species and of the whole, as a metapopulation. Each landscape unit studied has structural peculiarities that influence ecological and genetic patterns. The units also have an interconnection with allele movement (pollen, seeds and individuals) mediated by fauna and man, allowing the maintenance of diversity in the metapopulation. However, such metapopulation is created and maintained for cultural and economic motives, in addition to ecological ones.</p>
<p>Thus it is possible to state that <italic>ca&#x000ED;vas</italic> are fundamental pieces in conservation of the species and landscapes with araucaria, mainly due to different management methods that result in mosaics of vegetation with different demographic, and consequently genetic, structures. This factor (management of areas) reinforces the idea of conservation-by-use of fragments, where in addition to conserving the species, the conditions that allow the development of new germplasm are also maintained. On-farm conservation is based not only on the conservation of existing germplasm; but the genetic variability maintained in this type of conservation (backyards, gardens and agroforestry systems) also allows the maintenance of biodiversity through evolutionary processes (FAO, <xref ref-type="bibr" rid="B33">1996</xref>; Clement et al., <xref ref-type="bibr" rid="B23">2007</xref>).</p>
<p>The system requires these management practices in the landscape, with changes in various species motivated by cultural and economic factors, in order to maintain domestication of these landscapes. However, contrary to expectation, domesticated landscapes for the production of yerba mate did not lead to an important reduction in genetic variability, since there is no conscious selection action in the species studied.</p>
<p>It is important to note that maintenance of Araucaria forest remnants in the region of native yerba mate exploitation is directly associated with the possibility of exploitation of this resource, which is related to the conservation-by-use of these fragments (Petersen et al., <xref ref-type="bibr" rid="B71">2001</xref>; Mazuchowski, <xref ref-type="bibr" rid="B63">2004</xref>; Mattos, <xref ref-type="bibr" rid="B60">2011</xref>, <xref ref-type="bibr" rid="B61">2015</xref>; Marques, <xref ref-type="bibr" rid="B58">2014</xref>). However, there is also a potential risk that could jeopardize the system due to economic and socio-cultural reasons. The prices paid for yerba mate show significant fluctuations between years (EPAGRI/CEPA, <xref ref-type="bibr" rid="B32">2017</xref>), which may be a reason to substitute the system for another agricultural or forestry activity. In addition, the new generations do not show interest in continuing farming activities, implying risks to the maintenance of regional cultural values (Marques, <xref ref-type="bibr" rid="B58">2014</xref>).</p>
<p>Thus, the perspective of conservation-by-use of the multispecies system described here depends heavily on valorization of cultural aspects of the region, as well as on the economic valuation of yerba mate from this artisan system. Mechanisms of certification of origin could be an alternative of great regional importance, increasing the possibility of in situ, on-farm conservation of several autochthonous species from these Araucaria forests.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>MdR: Conceived the research, designed the research, was responsible for resource acquisition, directed AGM, SF thesis, AZ dissertation, codirected AdCM thesis and wrote the manuscript. TM: Conducted field and laboratory work, analyzed genetic data and wrote the manuscript. AGM: Conducted field work (including interviews), analyzed part of data and wrote the manuscript. SF: Conducted field work (including interviews), analyzed part of data and wrote the manuscript. AL: Conceived the research, provided comments on the manuscript. AdCM: Conducted fieldwork (interviews), analyzed part of data and provided comments on the manuscript. AZ: Conducted field and laboratory work and analyzed part of data. NP: Conceived the research, co-directed the AGM and SF thesis, and provided comments on the manuscript. AM: Conceived the research, co-directed the AZ master dissertation, was responsible for resource acquisition and provided comments on the manuscript. This research is the product of AZ master&#x00027;s thesis and AGM, AdCM, and SF Ph.D. thesis.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
<back>
<ack>
<p>We are profoundly grateful to all farmers for their kindness in sharing their knowledge with us, and for their hospitality. We would also like to thank N&#x000FA;cleo de Pesquisas em Florestas Tropicais (NPFT), Laborat&#x000F3;rio de Fisiologia do Desenvolvimento e Gen&#x000E9;tica Vegetal (LFDGV), and Instituto Chico Mendes de Conserva&#x000E7;&#x000E3;o da Biodiversidade (ICMBio) for logistical support.</p>
</ack>
<sec sec-type="supplementary-material" id="s6">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fevo.2018.00011/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fevo.2018.00011/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This study was supported by the Funda&#x000E7;&#x000E3;o de Amparo &#x000E0; Pesquisa e Inova&#x000E7;&#x000E3;o do Estado de Santa Catarina (FAPESC &#x02013; process no. 4448/2010-2 and 11939/2009) and Empresa Brasileira de Pesquisa Agropecu&#x000E1;ria (EMBRAPA &#x02013; Macroprojetos 2/2009). Conselho Nacional de Desenvolvimento Cient&#x000ED;fico e Tecnol&#x000F3;gico provided a Productivity Scholarship for MdR (CNPq &#x02013; 309128/2014-5) and NP, Coordena&#x000E7;&#x000E3;o de Aperfei&#x000E7;oamento de Pessoal de N&#x000ED;vel Superior (CAPES) provided doctoral scholarships for TM, AGM, and SF and a master&#x00027;s scholarship for AZ. Consejo Nacional de Investigaciones Cient&#x000ED;ficas y T&#x000E9;cnicas (CONICET) supported AL.</p>
</fn>
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