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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2017.00225</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Veterinary Science</subject>
<subj-group>
<subject>Hypothesis and Theory</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Could Changes in the Agricultural Landscape of Northeastern China Have Influenced the Long-Distance Transmission of Highly Pathogenic Avian Influenza H5Nx Viruses?</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gilbert</surname> <given-names>Marius</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/352302"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Prosser</surname> <given-names>Diann J.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/94997"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Geli</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Artois</surname> <given-names>Jean</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/352696"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dhingra</surname> <given-names>Madhur S.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/352648"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tildesley</surname> <given-names>Michael</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/398052"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Newman</surname> <given-names>Scott H.</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/467205"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Guo</surname> <given-names>Fusheng</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/477947"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Black</surname> <given-names>Peter</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Claes</surname> <given-names>Filip</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kalpradvidh</surname> <given-names>Wantanee</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shin</surname> <given-names>YeunKyung</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jeong</surname> <given-names>Wooseog</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Takekawa</surname> <given-names>John Y.</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname> <given-names>Hansoo</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xiao</surname> <given-names>Xiangming</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Spatial Epidemiology Lab (SpELL), Universit&#x000E9; Libre de Bruxelles</institution>, <addr-line>Brussels</addr-line>, <country>Belgium</country></aff>
<aff id="aff2"><sup>2</sup><institution>Fonds National de la Recherche Scientifique (FNRS)</institution>, <addr-line>Brussels</addr-line>, <country>Belgium</country></aff>
<aff id="aff3"><sup>3</sup><institution>Patuxent Wildlife Research Center, United States Geological Survey</institution>, <addr-line>Beltsville, MD</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma</institution>, <addr-line>Norman, OK</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>School of Life Sciences, University of Warwick</institution>, <addr-line>Warwick</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff6"><sup>6</sup><institution>Food and Agriculture Organization of the United Nations</institution>, <addr-line>Addis Ababa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff7"><sup>7</sup><institution>Regional Office for Asia and the Pacific, Food and Agriculture Organization of the United Nations</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country></aff>
<aff id="aff8"><sup>8</sup><institution>Animal and Plant Quarantine Agency, Ministry of Agriculture, Food and Rural Affairs</institution>, <addr-line>Gimcheon</addr-line>, <country>South Korea</country></aff>
<aff id="aff9"><sup>9</sup><institution>San Francisco Bay Estuary Field Station, Western Ecological Research Center, United States Geological Survey</institution>, <addr-line>Vallejo, CA</addr-line>, <country>United States</country></aff>
<aff id="aff10"><sup>10</sup><institution>Richardson Bay Audubon Center &#x00026; Sanctuary</institution>, <addr-line>Tiburon, CA</addr-line>, <country>United States</country></aff>
<aff id="aff11"><sup>11</sup><institution>Korea Institute of Environmental Ecology</institution>, <addr-line>Daejeon</addr-line>, <country>South Korea</country></aff>
<aff id="aff12"><sup>12</sup><institution>Institute of Biodiversity Science, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ferran Jori, Centre de coop&#x000E9;ration internationale en recherche agronomique pour le d&#x000E9;veloppement (CIRAD), France</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Moh A. Alkhamis, Kuwait Institute for Scientific Research, Kuwait; Jonas Waldenstr&#x000F6;m, Linnaeus University, Sweden</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Marius Gilbert, <email>mgilbert&#x00040;ulb.ac.be</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Veterinary Epidemiology and Economics, a section of the journal Frontiers in Veterinary Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>4</volume>
<elocation-id>225</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>06</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>12</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Gilbert, Prosser, Zhang, Artois, Dhingra, Tildesley, Newman, Guo, Black, Claes, Kalpradvidh, Shin, Jeong, Takekawa, Lee and Xiao.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Gilbert, Prosser, Zhang, Artois, Dhingra, Tildesley, Newman, Guo, Black, Claes, Kalpradvidh, Shin, Jeong, Takekawa, Lee and Xiao</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) or licensor 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>In the last few years, several reassortant subtypes of highly pathogenic avian influenza viruses (HPAI H5Nx) have emerged in East Asia. These new viruses, mostly of subtype H5N1, H5N2, H5N6, and H5N8 belonging to clade 2.3.4.4, have been found in several Asian countries and have caused outbreaks in poultry in China, South Korea, and Vietnam. HPAI H5Nx also have spread over considerable distances with the introduction of viruses belonging to the same 2.3.4.4 clade in the U.S. (2014&#x02013;2015) and in Europe (2014&#x02013;2015 and 2016&#x02013;2017). In this paper, we examine the emergence and spread of these new viruses in Asia in relation to published datasets on HPAI H5Nx distribution, movement of migratory waterfowl, avian influenza risk models, and land-use change analyses. More specifically, we show that between 2000 and 2015, vast areas of northeast China have been newly planted with rice paddy fields (3.21 million ha in Heilongjiang, Jilin, and Liaoning) in areas connected to other parts of Asia through migratory pathways of wild waterfowl. We hypothesize that recent land use changes in northeast China have affected the spatial distribution of wild waterfowl, their stopover areas, and the wild-domestic interface, thereby altering transmission dynamics of avian influenza viruses across flyways. Detailed studies of the habitat use by wild migratory birds, of the extent of the wild&#x02013;domestic interface, and of the circulation of avian influenza viruses in those new planted areas may help to shed more light on this hypothesis, and on the possible impact of those changes on the long-distance patterns of avian influenza transmission.</p>
</abstract>
<kwd-group>
<kwd>avian influenza</kwd>
<kwd>land use change</kwd>
<kwd>disease ecology</kwd>
<kwd>agriculture and public health</kwd>
<kwd>spatial epidemiology</kwd>
</kwd-group>
<contract-num rid="cn01">1R01AI101028-02A1</contract-num>
<contract-sponsor id="cn01">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content></contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="8"/>
<word-count count="5002"/>
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</front>
<body>
<p>The highly pathogenic avian influenza (HPAI) H5N1 virus initially emerged in China in 1996, but it was only in 2003&#x02013;2004 that it started to spread trans-nationally in Southeast Asia (<xref ref-type="bibr" rid="B1">1</xref>). In 2005&#x02013;2006, it spread across the Eurasian continent into Europe and south to sub-Saharan Africa. The virus did not persist in most countries where it had been introduced, but it did so in a few countries such as China, Vietnam, Indonesia, and Egypt where high densities of chickens, ducks, and live-poultry markets created conditions favoring long-term persistence (<xref ref-type="bibr" rid="B2">2</xref>). Since its first detection, the virus has evolved, and these changes have been traced in the H5 hemagglutinin gene through a nomenclature describing clades and sub-clades (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>From 2009 to 2014, H5N1 apparently reassorted with other avian influenza viruses resulting in a diversity of H5Nx viruses<xref ref-type="fn" rid="fn1"><sup>1</sup></xref> with different types of neuraminidase (mostly N5, N6, N8, and N2), while conserving the H5 genes (<xref ref-type="bibr" rid="B4">4</xref>). The nomenclature of H5Nx viruses that clustered in this divergent HA group was updated as a new clade, 2.3.4.4, in addition to two other new clades (<xref ref-type="bibr" rid="B5">5</xref>). Up and until 2014, these reassortants were only found in East Asia (China, South Korea), but during the winter 2014&#x02013;2015, the H5N8 virus started to spread into the United States and Europe. This range expansion was unprecedented and contrasted with the path that had been previously followed by HPAI H5N1. In 2006, the first long-distance intercontinental spread of HPAI H5N1 seemed to involve several stepping-stones of key migration stopover sites such as Qinghai Lake in central China (<xref ref-type="bibr" rid="B6">6</xref>), the Omsk and Novosibirsk region in Siberia, and the Black Sea basin in Romania and Turkey (<xref ref-type="bibr" rid="B7">7</xref>). At the time, introduction of HPAI H5N1 in the Black Sea basin was followed by a wave of expansion into western Europe linked to a cold front pushing large populations of potentially infected waterfowl along the 0&#x000B0;C frost isocline (<xref ref-type="bibr" rid="B8">8</xref>). Under similar conditions, a second spread of HPAI H5N1 clade 2.3.2.1 into eastern Europe was observed in 2010 (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>In contrast, the range expansion of HPAI H5N8 clade 2.3.4.4 into Europe and the United States was reconstructed through phylogeographic inference and was apparently very different (<xref ref-type="bibr" rid="B10">10</xref>). It did not pass through these central Asia migration stopover sites, but apparently, it involved wild waterfowl moving from breeding regions in the Arctic spreading south into Europe and North America. In addition, the long-distance spread of HPAI H5Nx clade 2.3.4.4, which was first documented in the winter 2014&#x02013;2015, apparently repeated itself in the winter 2016&#x02013;2017. The second transmission mainly affected Europe and caused numerous HPAI H5N8 poultry outbreaks.</p>
<p>Thus, novel introductions of HPAI H5Nx clade 2.3.4.4 into Europe and the United States originated from changes in the epidemiology of HPAI viruses taking place in Asia. By comparing the spatial and temporal distribution of the HPAI H5Nx records in Asia, we observed three noteworthy observations (Figure <xref ref-type="fig" rid="F1">1</xref>). First, in the period from 2004 to 2011, the HPAI H5N1 virus represented a large majority of all HPAI outbreaks and large-scale epizootics across much of Asia. Second, in the period from 2012 to 2017, the emergence of new H5N8, H5N6, and H5N2 subtypes mainly involved China and South Korea where these new subtypes represented the majority of outbreaks. In contrast, although some of these new subtypes were introduced into southeast Asia (e.g., H5N6 in Vietnam), so far, the large majority of outbreaks have been caused by HPAI H5N1 viruses. Third, while there is a decreasing trend of HPAI H5N1 outbreaks in south and southeast Asia, emergence of these new subtypes in China and South Korea have caused very significant epizootics leading to an increase in the total number of HPAI outbreaks in comparison to the 2004&#x02013;2011 period. Those differences may indicate why long-range transmission of HPAI H5N1 viruses have changed, because changes in disease circulation in different regions have created different patterns of transmission across the rest of the world. From 2004 to 2011, the majority of outbreaks were in southeast and south Asia, and long-range transmission through migratory birds from south Asia would require transmission through the Central Asian Flyway. From 2012 to 2017, the proportions changed, with comparatively more outbreaks located in east Asia caused by emergence of new clade 2.3.4.4 reassortants, and higher chances of long-range transmission through the Australasian-East Asian Flyway. In both cases, transmission into Europe or the U.S. by migratory birds likely would require movement through breeding areas in the Arctic. The migration routes used and the set of species involved may have changed, and with those changes, the spatiotemporal pattern of introduction risk into those distant regions was altered.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>(A)</bold> Number of highly pathogenic avian influenza (HPAI) H5Nx domestic outbreaks in China, North Korea, South Korea, and Japan over time <bold>(A)</bold> compared to all other Asian countries <bold>(B)</bold>, colored by subtype: H5N1 (red), H5N2 (green), H5N8 (blue), and H5N6 (orange). <bold>(B,C)</bold> Distribution of HPAI H5Nx domestic outbreaks in Asia in 2004&#x02013;2011 <bold>(C)</bold> and 2012&#x02013;2017 <bold>(D)</bold> with the same color code (extraction from the Empres-I database from first Jan 2004 to 13th June 2017, all H5Nx HPAI outbreaks).</p></caption>
<graphic xlink:href="fvets-04-00225-g001.tif"/>
</fig>
<p>Many datasets have been collected over the past decade documenting the migration of wild waterfowl in Asia (Figure <xref ref-type="fig" rid="F2">2</xref>). Several previous studies have investigated specific possible long-range transmission events of HPAI H5N1 viruses with some of these datasets (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>) and highlight how migration patterns sometimes matched the distribution of cases in space and time, but also providing examples where they did not. When pooled together, these data illustrate the broad-scale pattern of the two important flyways passing through Asia. The Central Asian Flyway connects western Mongolia to South Asia and Myanmar, while the Australasian-East Asian Flyway connects eastern Russia, South Korea, Japan, and China. A recent phylogeography study also showed that inferred viral migration structure correlated well with large-scale wild bird migration (<xref ref-type="bibr" rid="B16">16</xref>), but the authors did not test alternative transmission structures such as trade. If we focus on the Australasian-East Asian Flyway, we can see many potential connections between China and South Korea. Connectivity from the south involves long-distance migrants with linkages from Guangdong (birds marked in Hong Kong) or Jiangxi Provinces (birds marked at Poyang Lake). These connections and their possible role in transmitting HPAI H5N1 viruses over long distances have been described in detail in previous work (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Tracks of wild Anatidae in and around China, colored by month (524 birds, 19 species, from 2006 to 2017, USGS/FAO/KoEco/APQA/NIER surveys). <italic>Anas penelope</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;33), <italic>Anas acuta</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;50), <italic>Anser indicus</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;98), <italic>Anas strepera</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;17), <italic>Tadorna ferruginea</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;51), <italic>Anas crecca</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;20), <italic>Anas querquedula</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;16), <italic>Anas clypeata</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;19), <italic>Anser anser</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;2), <italic>Anas platyrhynchos</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;98), <italic>Anas poecilorhyncha</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;29), <italic>Anas formosa</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;2), <italic>Anas falcata</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;5), <italic>Netta rufina</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;1), <italic>Anser cygnoides</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;46), <italic>Cygnus cygnus</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;11), <italic>Cygnus columbianus</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;2), <italic>Anser albifrons</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;22), <italic>Anser fabalis</italic> (<italic>n</italic>&#x02009;&#x0003D;&#x02009;2). The data presented here were collected according to handling and marking procedures approved by the USGS Patuxent Wildlife Research Center Animal Care and Use Committee and the Animal and Plant Quarantine Agency ethical committee. The different datasets are described in the Movebank database (<uri xlink:href="https://www.movebank.org">https://www.movebank.org</uri>).</p></caption>
<graphic xlink:href="fvets-04-00225-g002.tif"/>
</fig>
<p>These data also may be examined in relation to the risk of HPAI H5Nx viruses in poultry. A recently published spatial model of HPAI H5Nx suitability (Figure <xref ref-type="fig" rid="F3">3</xref>) shows an overlay with tracks of wild migratory birds. Along the Central Asia Flyway, wild bird tracks do not necessarily connect high-risk areas together (Figure <xref ref-type="fig" rid="F3">3</xref>). Rather, high-risk areas from south Asia are connected to regions in China where wild birds may be abundant, and potentially infected, such as at Qinghai Lake, but where the risk of HPAI H5Nx transmission in poultry is predicted to be low, mostly because of very low densities of poultry farming. In contrast, the East Asian Flyway links many hotspots of high suitability for HPAI H5Nx infection: the Hong-Kong and Guangdong area, the Poyang Lake area, the Shanghai area, the western coasts of North and South Korea, and minor hotspots of high suitability located in northeastern China. China, North and South Korea, and to a lesser extent Japan, seem to be part of an interconnected epidemiological landscape that has been particularly active in the last few years, with the emergence of several reassortants causing serious HPAI epizootics. Circulation of HPAI H5Nx viruses in any one of these interconnected areas may potentially impair efforts made in others to control or eradicate the disease, and calls for more close collaboration to address the problem regionally (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Distribution of suitability for infection by HPAI H5Nx viruses from Dhingra et al. (<xref ref-type="bibr" rid="B20">20</xref>) spatial model <bold>(A)</bold> and spatial overlay with all Anatidae migration tracks <bold>(B)</bold>.</p></caption>
<graphic xlink:href="fvets-04-00225-g003.tif"/>
</fig>
<p>A particular focus can be put on the many apparent connections between South Korea and the northeastern China provinces of Jilin, Heilongjiang, and Liaoning, because these three provinces have been subject to relatively rapid land-use changes in the last decade. Figure <xref ref-type="fig" rid="F4">4</xref> shows the spatial distribution of rice paddy in 2015 and the changes that took place in % of rice paddy cover between 2000 and 2015 as quantified by remote sensing with MODIS images at 500-m spatial resolution (<xref ref-type="bibr" rid="B21">21</xref>). Vast areas were transformed into rice paddy fields in northeastern China, in particular, in the province of Heilongjiang (from 1.28 to 4.48 million ha), and to a lower extent, Jilin (from 0.58 to 0.68 million ha), while there was a minor reduction in Liaoning (from 0.75 to 0.66 million ha), as shown in Figure <xref ref-type="fig" rid="F5">5</xref>. Those changes are ecologically relevant, summing up to 3.21 million ha (<xref ref-type="bibr" rid="B21">21</xref>). In comparison, the harvested rice paddy area in nearby countries was 908,194&#x02009;ha in Korea in 2015 according to the Korean Statistical Information Service, and 1,575,000&#x02009;ha in Japan in 2014 according to FAOSTAT (<xref ref-type="bibr" rid="B22">22</xref>), and the rice areas in those countries showed a decreasing trend during the same period (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Distribution of rice harvest in 2015 (left) and % difference between the surface harvested in 2015 and 2000 at 5&#x02009;km&#x02009;&#x000D7;&#x02009;5&#x02009;km grid cells, according to Zhang et al. (<xref ref-type="bibr" rid="B21">21</xref>).</p></caption>
<graphic xlink:href="fvets-04-00225-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Temporal distribution of rice harvested areas in different Chinese provinces over time, according to Zhang et al. (<xref ref-type="bibr" rid="B21">21</xref>).</p></caption>
<graphic xlink:href="fvets-04-00225-g005.tif"/>
</fig>
<p>Rice paddy fields occupy a major role in the ecology of avian influenza, because inundated paddy fields serve as artificial wetlands that are ideal habitats for many waterfowl (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Furthermore, in many instances, rice paddy fields have been planted in or next to former natural wetlands used by waterfowl to take advantage of the water supply. Paddy fields represent attractive habitats for many species of waterbirds that can be considered as pests if they feed on plants, or they may simply forage on leftover grain in post-harvested paddy fields before the next planting season with no impact.</p>
<p>In many parts of Asia, post-harvested paddy fields are also used to feed free-grazing domestic ducks (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). These free-grazing ducks were previously found to be a very important risk factor for the transmission of HPAI H5N1 viruses (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Free-grazing duck use of the same habitat as wild waterfowl can present many opportunities for indirect transmission as was observed in Poyang Lake (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B26">26</xref>) and Dongting Lake and other wetlands along the lower Yangtze River wetlands with similar agro-ecosystems associating rice and duck farming. Conversely, free-grazing ducks also may forage in natural wetlands in the Poyang Lake area (<xref ref-type="bibr" rid="B26">26</xref>). This association between rice paddy fields and free-grazing ducks is common throughout Asia. However, most observations have been in more southern latitudes including Poyang Lake (<xref ref-type="bibr" rid="B17">17</xref>), the Thailand central plain (<xref ref-type="bibr" rid="B25">25</xref>), the Vietnam deltas (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>), Bangladesh, or Indonesia (<xref ref-type="bibr" rid="B31">31</xref>); however, the extent of this association in the newly planted areas of north-eastern China is unknown.</p>
<p>Prosser et al. (<xref ref-type="bibr" rid="B32">32</xref>) developed a model to map transmission risk between wild waterfowl and domestic poultry in China including during the wintering and breeding seasons (Figure <xref ref-type="fig" rid="F6">6</xref>). The transmission risk during the wintering season includes the likely source area for the HPAI H5N1 virus, which was previously identified in several spatial risk modeling studies (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>) as the Yangtze and Pearl River systems. In addition, transmission risk at this interface identifies broad areas in northeastern China in the same provinces of Jilin and Heilongjiang that were identified to be highly connected to South Korea (Figure <xref ref-type="fig" rid="F2">2</xref>) and that underwent rapid land use changes toward rice cropping (Figure <xref ref-type="fig" rid="F4">4</xref>). The area also contains several minor hotspots suitable for HPAI H5Nx transmission in domestic poultry (Figure <xref ref-type="fig" rid="F3">3</xref>) where a few HPAI H5N6, H5N8, and H5N2 poultry outbreaks were documented in the period from 2012 to 2017 (Figure <xref ref-type="fig" rid="F1">1</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Risk of domestic-to-wild avian influenza transmission during the breeding (left) and wintering (right) season according to Prosser et al. (<xref ref-type="bibr" rid="B32">32</xref>).</p></caption>
<graphic xlink:href="fvets-04-00225-g006.tif"/>
</fig>
<p>Thus, we hypothesize that recent land-use changes in northeastern China (Figure <xref ref-type="fig" rid="F4">4</xref>) may have influenced the spatial patterns of transmission of avian influenza at the regional and inter-continental scale. In terms of the suitability of chronology for transmission, the main harvest of the rice in this part of northeastern China is from September to October. During this period, long-distance migrants use these areas as stopover sites after leaving the breeding grounds and short-distance migrants may still be present before migrating to southern latitudes as the winter approaches. Stopover sites involve concentrations of many species with large numbers of immunologically na&#x000EF;ve juveniles alongside adult birds, forming an ideal setting for AIV transmission and redistribution. Previous work on low pathogenic AIV (LPAIV) ecology have shown that autumn concentrations of waterfowl with high recruitment rates of immunologically na&#x000EF;ve juveniles induce a seasonally and geographically distinct pattern in LPAIV prevalence with a marked peak in the autumn (<xref ref-type="bibr" rid="B35">35</xref>&#x02013;<xref ref-type="bibr" rid="B37">37</xref>). The mechanisms of the seasonality in LPAIV prevalence involve annual replenishment of susceptible juveniles together with the introduction of new viruses by migrants (<xref ref-type="bibr" rid="B38">38</xref>), and this translates into large-scale spatial gradients of LPAIV that are apparent at a continental scale (<xref ref-type="bibr" rid="B39">39</xref>). By the same mechanisms, areas recently converted into rice paddy fields may have become important stopover sites with high transmission of HPAI viruses between different species and populations prior to their southern migration. The suitability of those areas as stopover sites with high transmission potential may further be amplified by the coincident timing of the rice harvest, which leaves a significant amount of leftover grain on the ground (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Development of new stopover sites with high transmission potential resulting from land-use change could have broad scale implications. Waterfowl stopping in these areas (Figure <xref ref-type="fig" rid="F2">2</xref>) may continue their migration into North and South Korea as well as eastern and southern China, increasing the risk of long-distance transmission of any AIV acquired in these stopover sites.</p>
<p>The extent of the domestic-to-wild and wild-to-domestic interface in the area is poorly known and to our knowledge, wild water bird count data are not available for those newly planted areas. At broad scale, the highlighted models (Figures <xref ref-type="fig" rid="F3">3</xref> and <xref ref-type="fig" rid="F6">6</xref>) and reports of HPAI H5Nx poultry outbreaks in the area (Figure <xref ref-type="fig" rid="F1">1</xref>) suggest that there could be a risk of transmission between these populations. Investigations at finer spatial and temporal scales would be needed to explore more thoroughly the role that these new rice planted areas may have played in this regard. Similarly, better documenting the role played by the changes in land use on intercontinental spread would require investigating habitat use and foraging activities during the spring migration at the time of rice planting rather than harvest. Finally, avian influenza surveillance in China is based on a combination of passive surveillance in poultry farms reporting HPAI outbreaks, sero-surveillance survey designed to routinely assess vaccination coverage, and active surveillance made in live-poultry markets (<xref ref-type="bibr" rid="B33">33</xref>). However, there are relatively few live-poultry markets reported in those areas compared to more southern parts of China (<xref ref-type="bibr" rid="B40">40</xref>). So, the combination of mass-vaccination in poultry farms, and of relatively low live-poultry market surveillance may combine to lead to a low detection capacity, and further work would be needed to better document the possible circulation of avian influenza viruses in those northeastern areas.</p>
<p>Several approaches could be envisaged to investigate the hypothesis outlined above. First, detailed studies of the use of different types of habitats by the waterfowl during the spring migration, breeding period, and autumn migration would document how these rice areas are actually used in different seasons. Second, a better characterization of the domestic&#x02013;wild interface through the collection of data on poultry distribution and movements in these areas would be needed to quantify possible links with the circulation of HPAI H5Nx viruses in poultry. Third, sampling of AIV viruses in and around these stopover sites and phylogeographic analysis may help to characterize their prevalence in the epidemiological system of northeastern Asia.</p>
<sec id="S1">
<title>Ethics Statement</title>
<p>The data included in this paper regarding wild bird migration tracking were collected according to handling and marking procedures approved by the USGS Patuxent Wildlife Research Center Animal Care and Use Committee (USA) and the Animal and Plant Quarantine Agency (South Korea) ethical committee.</p>
</sec>
<sec id="S2" sec-type="author-contributor">
<title>Author Contributions</title>
<p>MG drafted the first manuscript. DP, SN, JT, GZ, XX, WJ, and HL provided data and all authors contributed to the discussions and editions of the final manuscript.</p>
</sec>
<sec id="S3">
<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>
</body>
<back>
<ack>
<p>The findings and conclusions in this paper are those of the authors and do not necessarily represent the views of the Food and Agriculture Organization of the United Nations. This study was funded by grants from the US National Institutes of Health (grant number 1R01AI101028-02A1) and USGS Ecosystems Mission Area. The authors would like to thank the USAID Emerging Pandemic Threat programme (EPT) for their continued support. The use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government.</p>
</ack>
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<fn-group>
<fn id="fn1"><p><sup>1</sup>This paper deals only with H5Nx viruses and specifically does not address the evolution and spread of H7N9 virus within China.</p></fn>
</fn-group>
</back>
</article>