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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. For. Glob. Change</journal-id>
<journal-title>Frontiers in Forests and Global Change</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. For. Glob. Change</abbrev-journal-title>
<issn pub-type="epub">2624-893X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/ffgc.2024.1379741</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Forests and Global Change</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Global assessment of production benefits and risk reduction in agroforestry during extreme weather events under climate change scenarios</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Dobhal</surname> <given-names>Sneha</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Kumar</surname> <given-names>Raj</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bhardwaj</surname> <given-names>Ajay Kumar</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chavan</surname> <given-names>Sangram Bhanudas</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Uthappa</surname> <given-names>A. R.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kumar</surname> <given-names>Manish</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Singh</surname> <given-names>Awtar</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Jinger</surname> <given-names>Dinesh</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Rawat</surname> <given-names>Pravin</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Handa</surname> <given-names>Arun K.</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ramawat</surname> <given-names>Naleeni</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>VCSGUUHF, College of Forestry</institution>, <addr-line>Tehri</addr-line>, <country>India</country></aff>
<aff id="aff2"><sup>2</sup><institution>ICAR-Central Soil Salinity Research Institute</institution>, <addr-line>Karnal</addr-line>, <country>India</country></aff>
<aff id="aff3"><sup>3</sup><institution>ICAR-National Institute of Abiotic Stress Management</institution>, <addr-line>Baramati</addr-line>, <country>India</country></aff>
<aff id="aff4"><sup>4</sup><institution>ICAR- Central Coastal Agricultural Research Institute</institution>, <addr-line>Old Goa</addr-line>, <country>India</country></aff>
<aff id="aff5"><sup>5</sup><institution>ICAR-Indian Institute of Soil and Water Conservation, Research Centre</institution>, <addr-line>Vasad, Gujarat</addr-line>, <country>India</country></aff>
<aff id="aff6"><sup>6</sup><institution>Himalayan Forest Research Institute</institution>, <addr-line>Shimla</addr-line>, <country>India</country></aff>
<aff id="aff7"><sup>7</sup><institution>ICAR-Central Agroforestry Research Institute</institution>, <addr-line>Jhansi</addr-line>, <country>India</country></aff>
<aff id="aff8"><sup>8</sup><institution>Agriculture University</institution>, <addr-line>Jodhpur</addr-line>, <country>India</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Ronald C. Estoque, Forestry and Forest Products Research Institute, Japan</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Sileshi Gudeta Weldesemayat, University of KwaZulu-Natal, South Africa</p>
<p>Manoj Kumar Jhariya, Sant Gahira Guru Vishwavidyalaya, India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Raj Kumar, <email>rajcswcrti@gmail.com</email></corresp>
<corresp id="c002">Ajay Kumar Bhardwaj, <email>ajaykbhardwaj@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>7</volume>
<elocation-id>1379741</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>07</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Dobhal, Kumar, Bhardwaj, Chavan, Uthappa, Kumar, Singh, Jinger, Rawat, Handa and Ramawat.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Dobhal, Kumar, Bhardwaj, Chavan, Uthappa, Kumar, Singh, Jinger, Rawat, Handa and Ramawat</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(s) 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>Climate change and extreme weather events are threatening agricultural production worldwide. The anticipated increase in atmospheric temperature may reduce the potential yield of cultivated crops. Agroforestry is regarded as a climate-resilient system that is profitable, sustainable, and adaptable, and has strong potential to sequester atmospheric carbon. Agroforestry practices enhance agroecosystems&#x2019; resilience against adverse weather conditions via moderating extreme temperature fluctuations, provisioning buffers during heavy rainfall events, mitigating drought periods, and safeguarding land resources from cyclones and tsunamis-type events. Therefore, it was essential to comprehensively analyze and discuss the role of agroforestry in providing resilience during extreme weather situations. We hypothesized that integrating trees in to the agro-ecosystems could increase the resilience of crops against extreme weather events. The available literature showed that the over-story tree shade moderates the severe temperature (2&#x2013;4&#x00B0;C) effects on understory crops, particularly in the wheat and coffee-based agroforestry as well as in the forage and livestock-based silvipasture systems. Studies have shown that intense rainstorms can harm agricultural production (40&#x2013;70%) and cause waterlogging. The farmlands with agroforestry have been reported to be more resilient to heavy rainfall because of the decrease in runoff (20&#x2013;50%) and increase in soil water infiltration. Studies have also suggested that drought-induced low rainfall damages many crops, but integrating trees can improve microclimate and maintain crop yield by providing shade, windshield, and prolonged soil moisture retention. The meta-analysis revealed that tree shelterbelts could mitigate the effects of high water and wind speeds associated with cyclones and tsunamis by creating a vegetation bio-shield along the coastlines. In general, existing literature indicates that implementing and designing agroforestry practices increases resilience of agronomic crops to extreme weather conditions increasing crop yield by 5&#x2013;15%. Moreover, despite its widely recognized advantages in terms of resilience to extreme weather, the systematic documentation of agroforestry advantages is currently insufficient on a global scale. Consequently, we provide a synthesis of the existing data and its analysis to draw reasonable conclusions that can aid in the development of suitable strategies to achieve the worldwide goal of adapting to and mitigating the adverse impacts of climate change.</p>
</abstract>
<kwd-group>
<kwd>agroforestry</kwd>
<kwd>extreme weather</kwd>
<kwd>climate change</kwd>
<kwd>resilience</kwd>
<kwd>adaptation</kwd>
</kwd-group>
<counts>
<fig-count count="12"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="129"/>
<page-count count="18"/>
<word-count count="13842"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>People and Forests</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec1">
<label>1</label>
<title>Background</title>
<p>Modern agriculture is greatly affected by a variety of factors, including meteorological conditions, agronomic practices, supply and demand dynamics, price fluctuations, government regulations, and socio-cultural influences (<xref ref-type="bibr" rid="ref99">Simelton et al., 2015</xref>). The changing climate conditions, including the increasing intensity, frequency, and duration of extreme weather events, pose significant challenges to the both global agricultural production and economies of local communities (<xref ref-type="bibr" rid="ref38">FAO, 2015</xref>). Recent studies have thoroughly investigated how shifting weather patterns affect the growth and economic output of important crops, offering insightful data analysis (<xref ref-type="bibr" rid="ref3">Asseng et al., 2015</xref>; <xref ref-type="bibr" rid="ref18">Challinor et al., 2016</xref>). These studies have shown that despite the general decrease in crop yield and livestock productivity due to changing climate conditions, there can be location-specific differences. Researchers have projected a decline in crop yields ranging from 2.5 to 10% with rising temperatures in the 21st century (<xref ref-type="bibr" rid="ref46">Hatfield et al., 2011</xref>). Various crops can experience varying degrees of impact, even within the same area (<xref ref-type="fig" rid="fig1">Figure 1</xref>). For instance, <xref ref-type="bibr" rid="ref122">Zhao et al. (2017)</xref> predicted a decrease in the yields of wheat, rice, maize, and soybean crops by 3.2, 7.4, 6.0, and 3.1%, respectively, for every degree rise in the earth&#x2019;s mean temperature (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Studies from sub-Saharan Africa show that shifting climate patterns have different but negative impacts on intensively cultivated crops. Further, <xref ref-type="bibr" rid="ref8">Blanc (2012)</xref> modeled data on different crops from 37 countries for the period 1961&#x2013;2002 and predicted that the yield changes under alternative climate scenarios relative to no climate change in 2100 would be &#x2212;19 to +6% for maize, &#x2212;38% to &#x2212;13% for millets, and&#x2009;&#x2212;&#x2009;47% to &#x2212;7% for sorghum. Similarly, <xref ref-type="bibr" rid="ref120">Warsame et al. (2023)</xref> examined the impacts of climate change and non-climatic factors on maize production in Somalia between 1980 and 2018 and suggested that the mean temperature and rainfall had negative effects on crop yield in both the short and long term.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Extreme weather induced damage in rice crop (Photo courtesy: Raj Kumar; Sept, 2023, Karnal, India).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Impacts of a 1&#x00B0;C increase in global temperature on crop yields (adapted from <xref ref-type="bibr" rid="ref122">Zhao et al., 2017</xref>).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g002.tif"/>
</fig>
<p>Climate models predict a greater temperature rise in regions closer to the poles than in areas near the equator and in the middle latitudes (<xref ref-type="bibr" rid="ref53">IPCC, 2021</xref>). As a result, the cultivation of cereal and winter crops would shift toward the north due to the formation of a more favorable climate for their growth (<xref ref-type="bibr" rid="ref71">Maracchi et al., 2005</xref>; <xref ref-type="bibr" rid="ref114">Tuck et al., 2006</xref>; <xref ref-type="bibr" rid="ref83">Olesen et al., 2007</xref>). For example, in the Indian Himalayas, the effect of temperature on apple productivity revealed that rising temperatures at higher elevations create more favorable conditions for plant growth, resulting in greater fruit yields than in lower and mid-altitude regions (<xref ref-type="bibr" rid="ref91">Rana et al., 2011</xref>). Furthermore, it is crucial to prioritize adaptation and risk mitigation strategies in order to minimize the adverse effects of extreme climatic conditions. Agroforestry, multilayer farming, and silvopastoral systems are a few examples of complex agro-ecosystems that exhibit significant potential for coping with and adapting to extreme weather (<xref ref-type="bibr" rid="ref2">Altieri et al., 2015</xref>). As a result, it is critical to examine climate-resilient agricultural and agroforestry practices that are appropriate for specific regions and commodities in order to adapt to extreme climatic conditions.</p>
<p>The deliberate introduction of trees in agricultural systems in the form of block plantations, tree-crop combinations, and boundary plantations is widespread agroforestry practice across the globe (<xref ref-type="bibr" rid="ref79">Nair et al., 2011</xref>). Tree plantation in cropping systems, under diverse management regimens and in various kinds of spatial and temporal arrangements, is essential for reducing vulnerability to uncertain and changing climates (<xref ref-type="bibr" rid="ref65">Kumar et al., 2022</xref>). Numerous studies have reported the benefits of agroforestry in terms of improving the sustainability, productivity, and profitability of farmlands (<xref ref-type="bibr" rid="ref95">Schoeneberger et al., 2012</xref>). However, the introduction of trees in croplands also offers a variety of climatic benefits, such as microclimate regulation (<xref ref-type="bibr" rid="ref100">Singh et al., 2024</xref>), extreme climate tolerance (<xref ref-type="bibr" rid="ref82">Noordwijk et al., 2011</xref>), and atmospheric carbon sequestration (<xref ref-type="bibr" rid="ref64">Kumar et al., 2021</xref>). In particular, agroforestry systems have the capacity to enhance the resilience of agronomic crops in the face of a variety of climatic conditions, such as frequent droughts, infrequent floods, and extreme temperature and rainfall events (<xref ref-type="bibr" rid="ref2">Altieri et al., 2015</xref>). This is accomplished by minimizing the intensity of the adverse effects of changing weather conditions. For instance, tree-crop combinations may be beneficial in regions where the negative effects of climate change are often observed, as crop damage resulting from different weather events can be countered by the output obtained from trees (<xref ref-type="bibr" rid="ref63">Kumar et al., 2020a</xref>). A large number of farmers have asserted that the diverse tree species play an active role in the adaptation process of the farmers and that this constitutes advance preparation for the anticipated extreme events. For example, <xref ref-type="bibr" rid="ref116">Pulhin et al. (2016)</xref> found that farmers prefer afforestation and tree protection in anticipation of climate change impacts across all extreme events, including typhoons (19%), drought (21%), and heavy rains (27%), over irrigation and embankment construction. This suggests that agricultural systems that are vulnerable to the adverse impact of climate change, particularly extreme weather events, should consider the implementation of agroforestry practices and tree plantations (<xref ref-type="bibr" rid="ref99">Simelton et al., 2015</xref>). However, various countries implement a wide range of agroforestry practices, which play a pivotal role in ensuring the long-term sustainability of farming systems (<xref ref-type="bibr" rid="ref52">Iizumi and Navin, 2015</xref>). Consequently, it was essential to collect factual information regarding the kinds of species and agroforestry systems that have clearly demonstrated a high level of resistance to extreme weather events in the climate change-vulnerable regions of the world (<xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>). We hypothesized that the integration of trees in agro-ecosystems could enhance crop resilience against extreme weather events under climate change scenarios. This compilation addresses two important issues: (i) What kinds of agroforestry systems are most effective in lessening the effects of extreme weather events? (ii) What types of trees and associated components, as well as their spatial and temporal design, can effectively mitigate the effects of harsh weather in various farming systems? The primary goal of this review was to identify species and propose agroforestry approaches that have demonstrated strong potential for enhancing the resilience of agroecosystems to extreme weather conditions. For the first time, we have made available a special compilation of the potential benefits of agroforestry practices during extreme events. This will enable the drawing of lessons and promote the adoption of climate-resilient practices, which will aid in the development of policies and programs at the regional and global level.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Performance of agroforesty systems and practices during extreme weather events.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Weather hazard</th>
<th align="left" valign="top">Agroforestry practice</th>
<th align="left" valign="top">Tree and crop components</th>
<th align="left" valign="top">Component affected</th>
<th align="left" valign="top">Country</th>
<th align="left" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Drought, flood</td>
<td align="left" valign="top">Agri-silvi-horticuture</td>
<td align="left" valign="top">Acacia, Jack fruit, Eucalyptus, Rice</td>
<td align="left" valign="top">Rice</td>
<td align="left" valign="top">Vietnam</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref81">Nguyen et al., 2013</xref></td>
</tr>
<tr>
<td align="left" valign="top">Multiple hazard</td>
<td align="left" valign="top">Agri-silvi-horticuture</td>
<td align="left" valign="top">Acacia, Aquillaria, Rice, Maize, cassava, peanut</td>
<td align="left" valign="top">Rice, Maize, Cassava, Peanut</td>
<td align="left" valign="top">Vietnam</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref99">Simelton et al., 2015</xref></td>
</tr>
<tr>
<td align="left" valign="top">Flood (Tsunami)</td>
<td align="left" valign="top">Homegarden</td>
<td align="left" valign="top">Multi-species</td>
<td align="left" valign="top">Annual crops</td>
<td align="left" valign="top">Sri-lanka</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref73">Mattsson et al., 2009</xref></td>
</tr>
<tr>
<td align="left" valign="top">Flood</td>
<td align="left" valign="top">Aqua-horti-forestry</td>
<td align="left" valign="top">Timber tree, fish, fruit tree</td>
<td align="left" valign="top">Rice crop</td>
<td align="left" valign="top">Bangladesh</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref96">Shah, 2014</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought</td>
<td align="left" valign="top">Agroforestry</td>
<td align="left" valign="top">Trees species</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref34">Eitzinger et al., 2017</xref></td>
</tr>
<tr>
<td align="left" valign="top">Multiple hazard</td>
<td align="left" valign="top">Agri-silviculture</td>
<td align="left" valign="top">Traditional agroforestry systems</td>
<td align="left" valign="top">Annual crops</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref2">Altieri et al., 2015</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought</td>
<td align="left" valign="top">Agri-Horticulture</td>
<td align="left" valign="top">Sapota tree, Cowpea and castor</td>
<td align="left" valign="top">Cowpea, Castor</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref64">Kumar et al., 2021</xref></td>
</tr>
<tr>
<td align="left" valign="top">High temperature</td>
<td align="left" valign="top">Silvi-Horticulture</td>
<td align="left" valign="top">Inga tree, coffee plants</td>
<td align="left" valign="top">Coffee plants</td>
<td align="left" valign="top">Mexico</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref69">Lin, 2007</xref></td>
</tr>
<tr>
<td align="left" valign="top">Hurricane</td>
<td align="left" valign="top">Forests</td>
<td align="left" valign="top">Natural vegetation, coffee plants</td>
<td align="left" valign="top">Coffee plants</td>
<td align="left" valign="top">Maxico</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref86">Philpott et al., 2008</xref></td>
</tr>
<tr>
<td align="left" valign="top">High temperature and low rainfall</td>
<td align="left" valign="top">Silvi-pasture</td>
<td align="left" valign="top"><italic>Leucaena, Prosopis, Cynodon, Panicum, Ceiba pentandra, Syagrus zancona</italic>.</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Colombia</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref78">Murgueitio et al., 2001</xref></td>
</tr>
<tr>
<td align="left" valign="top">High rainfall</td>
<td align="left" valign="top">Riparian forest buffers</td>
<td align="left" valign="top">Multiple species</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">United States</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref14">Calmon and Feltran-Barbieri, 2019</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought</td>
<td align="left" valign="top">Silvipasture</td>
<td align="left" valign="top">Multiple fodder trees and grasses</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Zambia</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref22">Chibinga et al., 2012</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought</td>
<td align="left" valign="top">Agroforestry</td>
<td align="left" valign="top">Traditional agroforestry systems</td>
<td align="left" valign="top">Agronomic crops</td>
<td align="left" valign="top">Peru</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref54">Jost and Pretzsch, 2012</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought</td>
<td align="left" valign="top">Agroforestry</td>
<td align="left" valign="top">Cashew, Annual crops</td>
<td align="left" valign="top">Agronomic crops</td>
<td align="left" valign="top">Sri-lanka</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref4">Bantilan and Mohan, 2014</xref></td>
</tr>
<tr>
<td align="left" valign="top">Multiple hazard</td>
<td align="left" valign="top">Integrated farming systems</td>
<td align="left" valign="top">Multiple tree, crops, livestock, Fisheries</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref121">Yadav et al., 2021</xref></td>
</tr>
<tr>
<td align="left" valign="top">Multiple hazard</td>
<td align="left" valign="top">Agri-silviculture</td>
<td align="left" valign="top">Multipurpose local tree species</td>
<td align="left" valign="top">Maize</td>
<td align="left" valign="top">Kenya</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref111">Thorlakson and Neufeldt, 2012</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought and flood</td>
<td align="left" valign="top">Agri-silvi-horticuture</td>
<td align="left" valign="top">Multipurpose tree species, Yams, cassava, maize, banana and rice</td>
<td align="left" valign="top">Maize, Banana and Rice</td>
<td align="left" valign="top">Tanzania</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref19">Charles et al., 2013</xref></td>
</tr>
<tr>
<td align="left" valign="top">Hurricane</td>
<td align="left" valign="top">Agroforestry</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Cuba</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref93">Rosset et al., 2011</xref></td>
</tr>
<tr>
<td align="left" valign="top">Hot speedy wind</td>
<td align="left" valign="top">Boundary Plantation</td>
<td align="left" valign="top"><italic>Azadirachta, Prosopis, Dalbergia and Acacia</italic>, Cotton and Wheat</td>
<td align="left" valign="top">Cotton and Wheat,</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref89">Puri and Bangarwa (1992)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Heat wave</td>
<td align="left" valign="top">Shelterbelt</td>
<td align="left" valign="top">Eucalyptus, Ber, Tecomella, groundnut, Bajara, guar, Mustard, Wheat and Gram</td>
<td align="left" valign="top">Groundnut, Bajara, Guar, Mustard, Wheat and Gram</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref74">Mertia et al. (2006)</xref></td>
</tr>
<tr>
<td align="left" valign="top">High Wind speed</td>
<td align="left" valign="top">Shelterbelt</td>
<td align="left" valign="top">Cotton, <italic>Dalbergia sissoo</italic></td>
<td align="left" valign="top">Cotton</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref89">Puri and Bangarwa (1992)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought</td>
<td align="left" valign="top">Tree based systems</td>
<td align="left" valign="top"><italic>Butea</italic> <italic>Phoenix</italic>, <italic>Madhuca</italic> <italic>Diospyros</italic></td>
<td align="left" valign="top">Annual crops</td>
<td align="left" valign="top">Central India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref21">Chavan et al. (2016)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Extreme rainfall and flood</td>
<td align="left" valign="top">Agroforestry</td>
<td align="left" valign="top"><italic>Markhamia lutea, Maesopsis eminii</italic>,<break/><italic>Casuarina equisetifolia, Albizia lebbeck</italic>,<break/><italic>Grevillea robusta, Acacia polyacantha</italic></td>
<td align="left" valign="top">Annual crops</td>
<td align="left" valign="top">Indonesia</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref118">Van Noordwijk et al. (2017)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Landslides</td>
<td align="left" valign="top">Tree based systems</td>
<td align="left" valign="top"><italic>Swietenia</italic>, <italic>Gmelina</italic>, <italic>Toona</italic> <italic>Coffea</italic>, and <italic>Bambusa</italic></td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">West Java, and Sumatra</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref44">Hairiah et al. (2020)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Drought and high temperature</td>
<td align="left" valign="top">Scattered agroforestry</td>
<td align="left" valign="top"><italic>Prosopis cineraria</italic>, Wheat, Mustard, Gaur, Bajra etc.</td>
<td align="left" valign="top">Wheat, Mustard, Gaur, Bajra</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref59">Keerthika et al., 2015</xref></td>
</tr>
<tr>
<td align="left" valign="top">Tsunami</td>
<td align="left" valign="top">Coastal forest</td>
<td align="left" valign="top">Mangroves</td>
<td align="left" valign="top">Reduced the human death toll</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref58">Kathiresan and Rajendran (2005)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Tsunami</td>
<td align="left" valign="top">Tree plantations</td>
<td align="left" valign="top"><italic>Casuarina equisetifolia</italic></td>
<td align="left" valign="top">Greater resistance than palm trees</td>
<td align="left" valign="top">Papua New Guinea</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref28">Dengler and Preuss (2003)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Tsunami</td>
<td align="left" valign="top">Coastal forest</td>
<td align="left" valign="top"><italic>Rhizophora</italic> spp. and <italic>Avicennia</italic> spp</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref26">Danielsen et al. (2005)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Tsunami</td>
<td align="left" valign="top">Agroforestry</td>
<td align="left" valign="top">Combinations of different tree species</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Indonesia</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref6">Bayas et al., 2011</xref></td>
</tr>
<tr>
<td align="left" valign="top">High wind speed</td>
<td align="left" valign="top">Shelterbelt</td>
<td align="left" valign="top"><italic>Casuarina</italic> sp.</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Sri Lanka</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref27">De Zoysa (2008)</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Influence of agroforestry on temperature modifications.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Agroforestry system</th>
<th align="left" valign="top">Region</th>
<th align="left" valign="top">Findings</th>
<th align="left" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Poplar- wheat alley cropping</td>
<td align="left" valign="top">Temperate region of Germany</td>
<td align="left" valign="top">1.5&#x00B0;C lower daytime air temperature and 2.5\u00B0C higher night air temperature than open wheat</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref55">Kanzler et al. (2019)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Mature agroforestry systems</td>
<td align="left" valign="top">Mediterranean climate of France</td>
<td align="left" valign="top">Upto 1.2&#x00B0;C lower daytime air temperature and 0.15&#x00B0;C higher night air temperature than open</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref41">Gosme et al. (2016)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Integrated livestock-forestry system</td>
<td align="left" valign="top">Brazilian Amazon</td>
<td align="left" valign="top">Improved thermal comfort indices than open pasture</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref47">Hawke and Wedderburn, 1994</xref></td>
</tr>
<tr>
<td align="left" valign="top"><italic>Pinus palustris- Paspalum notatum</italic> based silvopasture</td>
<td align="left" valign="top">Georgia</td>
<td align="left" valign="top">Higher air and soil temperature at 5 and 10&#x2009;cm in silvo-pasture compared to open-pasture</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref56">Karki and Goodman (2010)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Wheat in <italic>Faidherbia albida</italic> parkland</td>
<td align="left" valign="top">Ethiopia</td>
<td align="left" valign="top">6&#x00B0;C less temperature under trees than in the open fields and higher wheat yield than open</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref97">Sida et al. (2018)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Coffee under shade trees</td>
<td align="left" valign="top">Brazil</td>
<td align="left" valign="top">2.6&#x00B0;C lower maximum temperature and smaller thermal amplitude than open coffee</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref15">Campanha et al. (2004)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Poplar tree based alley</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top">Air temperature was inversely proportional to within row spacing of trees</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref20">Chauhan and Dhiman (2007)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Integrated livestock-forestry system</td>
<td align="left" valign="top">Brazil</td>
<td align="left" valign="top">Lower Black globe temperature-humidity index and radiant thermal load than open pasture</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref70">Magalhaes et al., 2020</xref></td>
</tr>
<tr>
<td align="left" valign="top">Silvo-pastoral system</td>
<td align="left" valign="top">Southern Brazil</td>
<td align="left" valign="top">3&#x2013;4&#x00B0;C lower air temperature in summer than open pasture</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref29">Deniz et al. (2019)</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec2">
<label>2</label>
<title>Methodology and literature search</title>
<p>The potential of agroforestry to respond and adapt to extreme weather events was analyzed by searching the keywords on the Google and Web of Science. The keywords used are based on (&#x201C;Agroforestry&#x201D;) and (&#x201C;Climate change mitigation&#x201D; or &#x201C;extreme weather events&#x201D; or &#x201C;extreme temperature&#x201D; or &#x201C;extreme rainfall moderation&#x201D; or &#x201C;drought&#x201D; or &#x201C;tsunami mitigation&#x201D; or &#x201C;cyclone&#x201D;). A dataset comprising 1,222 publications were first extracted which was screen out based on exclusion criteria and within scope of the study. The PRISMA framework is shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Flow diagram of identification, screening, eligibility, and inclusion of the research studies.</p></caption>
<graphic xlink:href="ffgc-07-1379741-g003.tif"/>
</fig>
<p>We retrieved 70 research publications from 1991 to 2023 based on these keywords, and collected the data from the databases. The extracted information was categorized into various sections, including the extreme temperature, high rainfall, drought, tsunami, and cyclone. Under each section, the information was organized both agroforestry system-wise and region-wise. Additionally, under each category, all the similar information was organized in a single paragraph and discussed in a chronological pattern based on their relatedness. This subject matter was then followed by other pertinent information on the same aspect. After analyzing the reviewed information, we identified various potential agroforestry models to counter the extreme temperature, high rainfall, drought, and tsunami/cyclone conditions. We conducted a comprehensive analysis after carefully considering the available evidence and information to address the challenges, develop future strategies, and identify the research needs of agroforestry under extreme climate conditions.</p>
</sec>
<sec id="sec3">
<label>3</label>
<title>Agroforestry for mitigating the extreme weather events</title>
<sec id="sec4">
<label>3.1</label>
<title>Extreme temperature</title>
<p>The increasing maximum day and night temperatures have a significant impact on crop and animal productivity (<xref ref-type="bibr" rid="ref42">Gowda et al., 2018</xref>). According to climate models, the earth&#x2019;s average global temperature will increase by an additional 4&#x00B0;C (7.2&#x00B0;F) in the twenty-first century (<xref ref-type="bibr" rid="ref53">IPCC, 2021</xref>). Similarly, simulations indicate that a 2&#x00B0;C increase in temperature could lead to a 1.7 times higher likelihood of heavy rain events, with a 14% increase in rainfall intensity (<xref ref-type="bibr" rid="ref53">IPCC, 2021</xref>). Some of the studies have suggested that there could be a rise in temperature and rainfall (5&#x2013;20%) during the months of December to February and a decrease in rainfall between June and August by the year 2050 in certain regions of the world (<xref ref-type="bibr" rid="ref51">Hulme et al., 2005</xref>). The increase in temperatures is projected to have a detrimental impact on most crops, particularly monoculture crops, and the resulting drought could significantly lower crop productivity and create a famine-like situation (<xref ref-type="bibr" rid="ref43">Gregory and Ingram, 2000</xref>). Smallholder farmers without financial or irrigation resources may use more natural systems to achieve ecological benefits to counteract climate change. Agroforestry systems are natural agro-ecosystems with diverse components that can greatly enhance the resilience of crops to temperature fluctuations (<xref ref-type="bibr" rid="ref69">Lin, 2007</xref>). The presence of trees on agricultural lands reduces temperature change in a variety of ways (<xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>). The canopy of trees serves as a buffer against the rapid shift in maximum and minimum temperatures, sheltering the understory from the negative effects of high temperature conditions. The effect of trees on temperature varies not only from one place to another, but also according to the time of year and the day. During the daytime, the tree shade lowers the under-story temperature, protecting the crops from excessive heat during peak summer, whereas at night, the tree canopy maintains higher temperatures, protecting the crops from frost damage, especially during the winter (<xref ref-type="bibr" rid="ref41">Gosme et al., 2016</xref>). For example, <xref ref-type="bibr" rid="ref57">Karki and Goodman (2015)</xref> found lower temperatures in agroforestry systems (19.2&#x00B0;C) than in open areas (21.5&#x00B0;C) during the season (<xref ref-type="fig" rid="fig4">Figure 4</xref>). This temperature difference between agroforestry and open systems is more marked on clearer days (<xref ref-type="bibr" rid="ref41">Gosme et al., 2016</xref>). This suggests that the shade of the tree canopy improves the microclimatic conditions for understory crops, increasing their growth and yield (<xref ref-type="bibr" rid="ref43">Gregory and Ingram, 2000</xref>). The detailed agroforestry system-specific studies are outlined in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Temperature difference between agroforestry and open systems (adapted from <xref ref-type="bibr" rid="ref57">Karki and Goodman, 2015</xref>).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g004.tif"/>
</fig>
<sec id="sec5">
<label>3.1.1</label>
<title>Wheat based agroforestry systems</title>
<p>Across the globe, agroforestry systems widely cultivate wheat as an annual crop, which is particularly vulnerable to temperature fluctuations. High air temperatures during crucial developmental stages can have a negative impact on grain yield (<xref ref-type="bibr" rid="ref87">Porter and Semenov, 2005</xref>). Specifically, temperatures above 30&#x00B0;C can lead to pollen sterility and decrease in seed yield (<xref ref-type="bibr" rid="ref43">Gregory and Ingram, 2000</xref>). <xref ref-type="bibr" rid="ref55">Kanzler et al. (2019)</xref> found that during hot summer days, the poplar tree-based alley cropping system had a 3.4&#x00B0;C lower temperature than a sole wheat system. Through the practice of agro-forestry, trees play a crucial role in improving water use efficiency and mitigating heat stress in agricultural crops, which ultimately results in the increase in crop yield. For example, <xref ref-type="bibr" rid="ref97">Sida et al. (2018)</xref> found that agroforestry systems with <italic>Faidherbia albida</italic> trees cut down on the amount of photosynthetically active radiation that reached the wheat canopy. This made the wheat 6&#x00B0;C cooler than in open wheat systems. Additionally, temperature exhibited significant variability in open fields, whereas it showed less fluctuation under the tree canopy. This is due to the ability of trees to buffer heat, providing relief from heat stress during crucial reproductive stages. In India, <xref ref-type="bibr" rid="ref60">Kohli and Saini (2003)</xref> reported more favorable microclimatic conditions for wheat crop development under <italic>Populus deltoids</italic>, leading to a lower heat load during the post-anthesis period (<xref ref-type="fig" rid="fig5">Figure 5</xref>). Such a decrease in heat load under an agroforestry system results in the increase in wheat grain yield by 6.8% (<xref ref-type="bibr" rid="ref100">Singh et al., 2024</xref>). Similarly, <xref ref-type="bibr" rid="ref30">Deswal et al. (2022)</xref> showed increase in wheat yield during extreme high temperature conditions with increasing tree density in a <italic>Melia dubia</italic>-based agroforestry system. Research has shown that windbreaks significantly increase wheat yields by 15 to 20% and are highly effective in protecting plants from the damaging effects of winter desiccation (<xref ref-type="bibr" rid="ref13">Brandle et al., 1984</xref>; <xref ref-type="bibr" rid="ref61">Kort, 1988</xref>). Thus, the existing research clearly shows the role of tree shade in improving extreme climatic conditions, highlighting the important role of agroforestry in enhancing the ability of the wheat crop to withstand extreme temperatures.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Popular (<italic>Populus deltiodes</italic>) based agri-silviculture systems enhances resilience of wheat crop against heat load during during extreme temperature events. (Photo courtesy: Raj Kumar; April, 2022, Yamunanager, India).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g005.tif"/>
</fig>
</sec>
<sec id="sec6">
<label>3.1.2</label>
<title>Coffee based agroforestry systems</title>
<p>Coffee is produced all over the world, with Brazil, Vietnam, Colombia, Indonesia, and Ethiopia being the top coffee-producing nations. Tree species such as Cordia, Albizia, Croton, Persea, Grevillea, and Mangifera are recommended for providing shade to the coffee plants (<xref ref-type="bibr" rid="ref119">Wariyo and Negewo, 2023</xref>). According to projections, climate change in Brazil might result in a 60% reduction in the area suitable for coffee production (<xref ref-type="bibr" rid="ref39">Gomes et al., 2020</xref>). However, studies suggest that agroforestry systems have the potential to buffer the negative effects of climate change, and it could preserve 75% of the land suitable for coffee production (<xref ref-type="bibr" rid="ref39">Gomes et al., 2020</xref>). In Mozambique, the most critical variables that determine the suitability of coffee regions are annual precipitation and altitude. Full sun will be unsuitable for coffee production in Mozambique from 2040 onwards (<xref ref-type="bibr" rid="ref16">Cassamo et al., 2023</xref>). Shade trees have been found to provide protection for coffee plants against extreme heat and intense sunlight, resulting in a significant decrease in evapo-transpiration loss by 41% during the hot and dry seasons (<xref ref-type="bibr" rid="ref68">Lin, 2006</xref>). It has been observed that the leaf temperature of coffee plants grown in full sun exceeded the air temperature consistently, while the leaf temperature of shaded coffee plants was lower by 5&#x00B0;C. This difference in temperature could have a positive impact on the physiological processes of the plants (<xref ref-type="bibr" rid="ref98">Siles et al., 2010</xref>). Further, reports also suggested a decline in the intensity and level of day-night temperature variation in coffee-based agroforestry compared to monoculture. Specifically, <xref ref-type="bibr" rid="ref15">Campanha et al. (2004)</xref> recorded a 2.6&#x00B0;C decrease in the extreme high temperature in the agroforestry system. Furthermore, literature suggested that trees act as a natural barrier to shield coffee plants from both scorching heat and chilling winds, and they play a vital role in conserving water by reducing evapotranspiration. By mitigating sudden temperature changes between day and night, trees help to prevent thermal shocks that can harm the coffee plants. Thus, the presence of trees enhances the microclimatic conditions, creating a more favorable environment for the growth of coffee plants.</p>
</sec>
<sec id="sec7">
<label>3.1.3</label>
<title>Agri-silviculture systems in tropical Hot-arid conditions</title>
<p>Agri-silviculture systems, which combine trees and crops, are the most common agroforestry practices in tropical hot arid climates. The increase in global temperatures negatively affect growth of agronomic crops, especially in the tropical arid and semi-arid regions of the world (<xref ref-type="bibr" rid="ref46">Hatfield et al., 2011</xref>). In these areas, temperatures under tree canopies are usually 2&#x2013;4&#x00B0;C lower compared to places exposed to direct sunlight (<xref ref-type="bibr" rid="ref23">Cordeiro et al., 2015</xref>). The shade of the tree canopy maintains soil and air temperatures, and the row spacing of the trees has been observed to be inversely related to the atmospheric temperature (<xref ref-type="bibr" rid="ref20">Chauhan and Dhiman, 2007</xref>). Tree species such as <italic>Prosopis</italic> and <italic>Faidherbia</italic> are commonly used in agroforestry systems in the tropical hot-arid regions. In India, <italic>Prosopis</italic> tree-based agroforestry showed a positive impact on the growth of various crops such as cow pea, cluster bean, Pearl millet, Mustard, Taramira, Wheat, and Mungbean in the hot arid conditions of India (<xref ref-type="fig" rid="fig6">Figure 6</xref>). They observed a 10&#x2013;15% higher crop yield under the tree canopy than outside the canopy (<xref ref-type="bibr" rid="ref59">Keerthika et al., 2015</xref>). This improvement can be attributed to the positive change in the microclimate, particularly the reduction in soil and air temperature. In Africa, studies have found that the <italic>Faidherbia albida</italic> systems increase crop yield by two to seven times compared to open systems (<xref ref-type="table" rid="tab3">Table 3</xref>). Under such conditions, tree windbreaks can lead to a 15&#x2013;30% decrease in crop water consumption because tree rows help shield the crops from intense and direct sunlight (<xref ref-type="bibr" rid="ref109">Thevs et al., 2019</xref>). Furthermore, tree-based systems could shield understory crops from heat stress in the face of climate change, as the increase in atmospheric heat and soil moisture stress is expected in the near future. This would be accomplished primarily through microclimate modification, which is influenced by the particular species of trees used and their design (<xref ref-type="bibr" rid="ref84">Pezzopane et al., 2015</xref>). As a result, tree-based systems and their ability to modify microclimates could play a critical role in addressing climate change in hot and arid environments.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption><p>Crop yields under <italic>Prospis cineraria</italic> agroforestry in Rajasthan (modified from <xref ref-type="bibr" rid="ref59">Keerthika et al., 2015</xref>).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g006.tif"/>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Impact of <italic>Faidherbia albida</italic> agroforestry systems on crop yield under extreme temperatures in the African conditions.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Region</th>
<th align="left" valign="top">System</th>
<th align="left" valign="top">Crop</th>
<th align="left" valign="top">Yield increase</th>
<th align="left" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Southern Ethiopia</td>
<td align="left" valign="top">Parkland trees in farmland</td>
<td align="left" valign="top">Wheat</td>
<td align="left" valign="top">11&#x2013;12%</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref003">Haile et al. (2021)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Northern Ethiopia</td>
<td align="left" valign="top">Parkland trees in farmland</td>
<td align="left" valign="top">Sorghum</td>
<td align="left" valign="top">24%</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref01">Birhane et al. (2018)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Eastern Oromia, Ethiopia</td>
<td align="left" valign="top">Parkland trees in farmland</td>
<td align="left" valign="top">Sorghum</td>
<td align="left" valign="top">43%</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref004">Abdella et al. (2020)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Zambia</td>
<td align="left" valign="top">Fertilizer tree-based agroforestry</td>
<td align="left" valign="top">Maize</td>
<td align="left" valign="top">7&#x2013;12 times</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref005">Yengwe et al. (2018)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Morogoro, Tanzania</td>
<td align="left" valign="top">Alley cropping</td>
<td align="left" valign="top">Maize</td>
<td align="left" valign="top">Remained same</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref006">Chamshama et al. (1998)</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec8">
<label>3.1.4</label>
<title>Silvipasture systems</title>
<p>Silvopastoral systems (SPS), which are practiced across the globe, are a form of agroforestry system that combines trees and pastures to fulfill the fodder requirements of domestic animals. During the daytime, extreme high temperature can have a significant impact on the physiology of the livestock, leading to the decrease in their reproductive and milk production capabilities (<xref ref-type="bibr" rid="ref56">Karki and Goodman, 2010</xref>). Under such circumstances, agroforestry systems like silvopasture and windbreaks can mitigate the heat stress of the animals as well as maintain the productivity and yield of the forage crops (<xref ref-type="bibr" rid="ref33">Dosskey et al., 2017</xref>). For example, <xref ref-type="bibr" rid="ref75">Mitl&#x00F6;hner et al. (2001)</xref> revealed that trees with shade increase cattle weight in less time (20&#x2009;days early) than those without shade because of the lower air temperature under the silvo-pastoral system than in open pastures (<xref ref-type="bibr" rid="ref29">Deniz et al., 2019</xref>). Silvipasture systems have the potential to help livestock adapt to the impacts of global warming by creating a more favorable thermal environment that is less restrictive to animal performance (<xref ref-type="bibr" rid="ref70">Magalhaes et al., 2020</xref>). During spring and summer, the silvo-pastoral system offers a comfortable environment for the livestock (<xref ref-type="bibr" rid="ref85">Pezzopane et al., 2019</xref>). However, livestock are able to thrive in the treeless pastures in the autumn and winter seasons. They further reported that pasture without trees experiences the unfavorable microclimate and can have a higher thermal comfort index (ranging from 79 to 85) during the early hours of the summer season, making it unsuitable for raising domestic animals (<xref ref-type="bibr" rid="ref70">Magalhaes et al., 2020</xref>). During the winter season, windbreaks can reduce wind speed, which improves feeding efficiency, lessens animal stress, and increases lamb survival (<xref ref-type="bibr" rid="ref33">Dosskey et al., 2017</xref>). The triple-row groves under agroforestry systems showed the most significant reductions in heat stress conditions, specifically the Black Globe temperature-humidity index and radiant thermal load for grazing animals compared to open pasture. Moreover, the impact of trees on temperature modification is specific to region, climate, season, and tree density. In Florida, United States, sylvopasture practices lower the wind movement, which leads to lower diurnal dew point and higher temperatures (air and soil) in March, June, and September (<xref ref-type="bibr" rid="ref56">Karki and Goodman, 2010</xref>). In New Zealand, increasing tree stocking from 0 to 400 stems ha<sup>&#x2212;1</sup> in <italic>Pinus radiata</italic>-based sylvopasture system resulted in increase in the minimum temperature of the grass and decrease in the temperature of the soil (<xref ref-type="bibr" rid="ref47">Hawke and Wedderburn, 1994</xref>). In temperate regions, tree stocking protects animals from sudden increases in the above-ground temperature (<xref ref-type="bibr" rid="ref47">Hawke and Wedderburn, 1994</xref>). Therefore, silvopastoral systems can be used to lessen the negative effects of climate change because trees can shield pasture land and animals from strong winds, intense sun radiation, and extremely high or low temperatures. This keeps pasture biomass stable and lowers animal stress, which in turn increases the productivity of the livestock and forage resources (<xref ref-type="bibr" rid="ref10">Bosi et al., 2020</xref>).</p>
</sec>
<sec id="sec9">
<label>3.1.5</label>
<title>Riparian forestry buffers</title>
<p>A riparian forest buffer consists of a wide variety of trees and other perennial plants that are strategically planted alongside a stream, lake, or wetland. These buffers are intended to provide valuable conservation benefits. The increasing air temperature has a direct impact on the temperature of water resources, which in turn affects the habitats of aquatic fish and animal species (<xref ref-type="bibr" rid="ref11">Bowler et al., 2012</xref>). According to <xref ref-type="bibr" rid="ref77">Mugwanya et al. (2022)</xref>, the rising temperatures of stream water may have a negative impact on the habitat of cold-water aquatic species. However, the shade provided by riparian forest buffers can help keep the water temperatures cooler (<xref ref-type="bibr" rid="ref7">Bentrup and Dosskey, 2017</xref>). For instance, <xref ref-type="bibr" rid="ref24">Cross et al. (2013)</xref> showed that increasing stream shade from 0 to 75 percent can lead to a 4.8&#x00B0;C decrease in maximum temperature. This highlights the crucial role that trees play in regulating and preventing fluctuations in stream temperature. A meta-analysis of 10 research studies reported that riparian forest buffers can reduce maximum and mean summer stream temperatures by 3.3 and 0.60&#x00B0;C, respectively, compared to streams without buffers (<xref ref-type="bibr" rid="ref11">Bowler et al., 2012</xref>). In snow-covered areas, field windbreaks can impede snow and retain moisture by reducing wind speed and dispersing snow throughout the field. This demonstrates the immense potential of tree-based farming systems to regulate the maximum and minimum temperatures of water resources.</p>
</sec>
</sec>
</sec>
<sec id="sec10">
<label>4</label>
<title>High rainfall</title>
<p>Rainfall is important to fulfill the water requirements of both cultivated annuals and perennials. However, high rainfall negatively affects agronomic production, and integrated crop-tree production can mitigate the damage from such rainfall events (<xref ref-type="bibr" rid="ref62">Kumar et al., 2020b</xref>). For instance, <xref ref-type="bibr" rid="ref95">Schoeneberger et al. (2012)</xref> found that trees and agroforestry-based farming systems are the most preferred farming practices to mitigate the adverse impact of high rainfall on agronomic production. Specifically, compared to agronomic practices such as no till, cover crops, cropping systems, and crop rotation, adding perennial trees to cropland increases rainfall water infiltration by 59% into the soil (<xref ref-type="bibr" rid="ref5">Basche and DeLonge, 2019</xref>). In agroforestry, trees prevent the direct impact of raindrops, reduce runoff, and increase soil water infiltration, thereby enhancing crops resilience to extreme rainfall events. Furthermore, expanding tree plantations in agroforestry promotes greater rainwater interception and infiltration, which reduces the quantity, speed, and peak flows of runoff, thereby helping landowners adapt to the adverse impacts of extremely high precipitation events (<xref ref-type="bibr" rid="ref33">Dosskey et al., 2017</xref>; <xref ref-type="bibr" rid="ref49">Hern&#x00E1;ndez-Morcillo et al., 2018</xref>). Several farmers in the United States reported increased flooding and landslides because of deforestation, which encouraged them to initiate tree plantations and avoid cutting of the existing trees (<xref ref-type="bibr" rid="ref86">Philpott et al., 2008</xref>). The multi-story combinations of various perennial and annual crop-based agroforestry systems known as homegardens (<xref ref-type="fig" rid="fig7">Figure 7</xref>) are considered one of the most preferred and sustainable land use systems for extreme rainfall events in tropical humid conditions (<xref ref-type="bibr" rid="ref113">Torquebiau, 1992</xref>; <xref ref-type="bibr" rid="ref81">Nguyen et al., 2013</xref>). Moreover, crop diversification and tree plantations/agroforestry have been suggested as adaptation strategies for reducing the vulnerability of agronomic crops to high rainfall conditions (<xref ref-type="bibr" rid="ref2">Altieri et al., 2015</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption><p>Tropical homegardens consists of multiple crops and trees are considered sustainable land use for extreme rainfall events in conditions. (Photo courtesy: A. R. Uttapha; August, 2022, Goa, India).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g007.tif"/>
</fig>
<p>In the Indian subcontinent, high rainfall often creates water-logging conditions and salinity hazards, leading to an adverse impact on agronomic production. The cultivation of trees along with crops could transpire excess water into the atmosphere, reducing the adverse impact of waterlogging. For example, under waterlogging conditions in Punjab, India, the study findings showed higher evapo-transpiration rates in the agroforestry systems than sole crops, indicating greater removal of excess water from soils and the creation of a better soil environment for plant growth in the tree-dominated systems (<xref ref-type="bibr" rid="ref31">Dhillon et al., 2010</xref>). In Sri Lanka, the high rainfall-induced rise in water tables increased the soil salinity of low-lying coastal areas, severely affecting the productivity of agricultural land. By designing and practicing agroforestry along the coastal areas, the high water table and salinity level can be reduced to a great extent (<xref ref-type="bibr" rid="ref40">Gopalakrishnan et al., 2019</xref>). Bangladesh is also highly vulnerable to heavy rainfall events that occur frequently. The anticipated adverse effect includes increased seawater intrusion, which will inundate coastal agriculture lands and human settlements. One of the innovative interventions suggested by the policy planners is the fish, fruit, and forest model (FFF), an agroforestry practice that generates substantial economic return over short, medium, and long terms and, as well as offering diversified livelihood options, reduces salinity, increases protection, and provides resilience against climate change (<xref ref-type="bibr" rid="ref96">Shah, 2014</xref>). In Vietnam, heavy rainfall-induced extreme flood conditions caused 40% yield loss of the regionally cultivated crops, while farms with trees were less affected (<xref ref-type="bibr" rid="ref81">Nguyen et al., 2013</xref>). The various tree species performed satisfactorily during extreme weather conditions to provide multiple benefits, including income, food, feed, and other environmental benefits, to the local population. Likewise, in Uttarakhand state of India, an extremely heavy rainfall (338&#x2009;mm in 1&#x2009;day) occurred during 2013 that caused widespread flooding and the occurrence of landslides, leading to huge losses to agricultural crops, human property, and animal life. The crop production was severely affected, resulting in a huge loss to the farmers&#x2019; livelihoods and the state&#x2019;s economy. In contrast, farms with tree-based land use systems were least affected, neutralizing the negative effects of heavy rainfall on agriculture production (<xref ref-type="bibr" rid="ref32">Dobhal et al., 2020</xref>).</p>
<p>In the United States, high rainfall creates erosion and flooding situations, leading to the occurrence of landslides and the reduction in agricultural productivity. Trees and other permanent vegetation in agriculture systems in the form of agroforestry reduce the adverse impacts of extreme rainfall events, which lead to greater agricultural production (<xref ref-type="bibr" rid="ref117">USDA, 2016</xref>). Specifically, riparian forest buffers, windbreaks, and alley cropping systems control flooding and soil erosion as well as contribute to sustaining crop production throughout the watershed. Silvopasture and forest farming provide climate-related benefits associated with the extent of forest cover, as well as contributing to diversifying and increasing economic productivity (<xref ref-type="bibr" rid="ref117">USDA, 2016</xref>). Likewise, in Brazil, analysis showed that integrated systems comprising crops, trees, and animals increase the resilience of farms against extreme rainfall events, as well as control soil erosion, enhance productivity, and generate a large number of socio-economic benefits by increasing the number of products and services available to the farmers (<xref ref-type="bibr" rid="ref14">Calmon and Feltran-Barbieri, 2019</xref>).</p>
<p>Agroforestry techniques have great potential to reduce farmers&#x2019; vulnerability to various climate-related challenges in African conditions. In Kenya, researchers identified that farmers are shifting from sole cropping to diverse agroforestry practices in order to protect their farms from future floods (<xref ref-type="bibr" rid="ref90">Quandt et al., 2017</xref>). In Mesoamerica, coffee-based agroforestry can regulate various ecological services, such as mitigating drought conditions, improving soil health, and preventing flood occurrences that help reduce the adverse impact of extreme rainfall events (<xref ref-type="bibr" rid="ref35">Eych&#x00E8;ne et al., 2014</xref>). Such agroforestry systems help reduce farm vulnerability to climate-related hazards by providing multiple ecosystem services (<xref ref-type="bibr" rid="ref110">Thorlakson, 2011</xref>). Therefore, during high rainfall events, the tree canopy partitions the rainfall and reduces the rainfall intensity, resulting in decreased runoff, increased infiltration, and reduced waterlogging.</p>
</sec>
<sec id="sec11">
<label>5</label>
<title>Intense drought</title>
<p>Drought is a prolonged dry period in the natural climate cycle, which can have a serious impact on society in general and agriculture in particular. The rise in surface temperature is also predicted to increase the frequency of heat waves and droughts, which can severely affect crop production (<xref ref-type="bibr" rid="ref53">IPCC, 2021</xref>). In particular, arid and semi-arid regions experience prolonged drought conditions caused by low rainfall, resulting in severe damage to agricultural crops. Under drought conditions, the integration of trees into cropping systems provides numerous benefits, such as shade and protection from high winds that help retain soil moisture. This moderation of the harsh microclimate increases crop resilience against drought-induced risks. Specifically, agroforestry can reduce crop water requirements during hot and dry periods of the cropping cycle (<xref ref-type="fig" rid="fig8">Figure 8</xref>). One such example is windbreaks, which conserve soil moisture by reducing wind speed, a major factor controlling soil evaporation and plant transpiration (<xref ref-type="bibr" rid="ref12">Brandle et al., 2009</xref>), and could be highly valuable under water-stressed conditions (<xref ref-type="bibr" rid="ref92">Rivest et al., 2013</xref>). Such climatic and environmental co-benefits in a tree-based farming system have been proven highly effective in reducing the frequent drought-related risks in arid environments (<xref ref-type="bibr" rid="ref34">Eitzinger et al., 2017</xref>). The longer and hotter drought periods reduce the vegetation biomass cover and increase the vulnerability of the soil to accelerated erosion (<xref ref-type="bibr" rid="ref101">Smukler et al., 2010</xref>). Agroforestry practices involving drought-hardy trees can maintain soil by complementing cover crops, which may face establishment challenges in times of drought (<xref ref-type="bibr" rid="ref1">Al-Kaisi et al., 2013</xref>; <xref ref-type="bibr" rid="ref33">Dosskey et al., 2017</xref>). The tree canopy also creates a congenial environment for soil biological activities in water-stressed environments (<xref ref-type="bibr" rid="ref72">Martius et al., 2004</xref>). Further, evidence has shown that low rainfall-induced drought adversely affects annual crops compared to perennial trees, especially in arid and semi-arid rain-fed conditions (<xref ref-type="bibr" rid="ref1">Al-Kaisi et al., 2013</xref>; <xref ref-type="bibr" rid="ref34">Eitzinger et al., 2017</xref>; <xref ref-type="bibr" rid="ref63">Kumar et al., 2020a</xref>). Under normal rainfall conditions, tree shade could decrease the yield of understory crops, while during the drought, the yield could be higher than in an open system, even in intense shade. For example, <xref ref-type="bibr" rid="ref63">Kumar et al. (2020a)</xref> reported that trees are more resilient to drought conditions than crops, implying that trees have better water and nutrient efficiency during drought conditions. They examined the performance of Sapota trees (<italic>Achras zapota</italic>) and regional crops (Cowpea and Castor) in agroforestry systems, demonstrating that the fruit (Sapota) could offset crop failure during drought conditions, indicating the increased resilience of tree-based farming systems in semi-arid climatic conditions. Furthermore, during the simultaneous production of trees and crops, the trees get water and nutrients from deeper layers, thereby helping to mitigate drought conditions. <xref ref-type="bibr" rid="ref9">Blanchet et al. (2021)</xref> also reported higher pea yield under trees in drought conditions than normal rainfall. In India, some farmers adopt and promote tree planting to counter the impacts of extreme drought (9% farmers) and intense rains (17% farmers) on their agronomic crops (<xref ref-type="bibr" rid="ref115">Udmale et al., 2014</xref>).</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption><p>Silvipasture systems for extreme drought conditions in hot and arid climatic conditions (Photo courtesy: Arvind Kumar; September, 2022, Bhuj, India).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g008.tif"/>
</fig>
<p>A silvipasture system (SPS) at the El Hatico farm in Colombia, composed of large trees, medium-sized trees, <italic>Leucaena</italic> shrubs, and a five-story layer of grasses, provided fodder throughout the year for sustainable milk production. In 2009, precipitation declined by 44% that resulted in a 25% decline in pasture biomass production, while the biomass of trees and shrubs was least affected, neutralizing the adverse impact of drought on overall fodder production. Other farmers also reported severe weight loss and reduced milk production in the animals because of starvation and thirst (<xref ref-type="bibr" rid="ref78">Murgueitio et al., 2001</xref>). Similarly, the agro-pastoralists in Southern Zambia face a significant challenge in securing sufficient fodder for their livestock during droughts. This causes a disruption in their primary source of income because the majority of them does not engage in pasture or fodder management. Trees were the most important source of animal food and milk production during drought (<xref ref-type="bibr" rid="ref22">Chibinga et al., 2012</xref>), demonstrating the tremendous potential of SPS as a sustainable intensification strategy for climate change adaptation.</p>
<p>In Southeast Asia, farmers who engaged in traditional tree-based agroforestry experienced a speedier recovery from natural disasters, which suggests that they have a greater ability to adapt to climate-related hazards (<xref ref-type="bibr" rid="ref001">Burgess et al., 2022</xref>). In Peru, multiple weather hazards, <italic>viz.</italic>, frost, floods, drought, and hailstorms, severely affect agriculture and farm animals. The households practicing agroforestry are able to counter the risks and cope with the damages from multiple hazards (<xref ref-type="bibr" rid="ref54">Jost and Pretzsch, 2012</xref>). In Sri Lanka, farms that are rain-fed and devoid of irrigation are being replaced by drought-tolerant cashew tree plantations to reduce the risk of agricultural failure from severe drought conditions (<xref ref-type="bibr" rid="ref4">Bantilan and Mohan, 2014</xref>). Recently in India, integrated farming systems, comprising a combination of diverse agricultural, horticultural, forestry, animal husbandry, and fishery practices on a piece of land, have been found quite promising, and these types of farming are also at the top agenda of the Indian government for enhancing climate resilience, in addition to increasing farm income and labor employment (<xref ref-type="bibr" rid="ref121">Yadav et al., 2021</xref>).</p>
<p>African content is one of the most severely affected regions by frequent droughts, which have a significant impact on the agriculture and livelihoods of millions of individuals. In 2005, Niger experienced one of the worst droughts in its history, resulting in widespread food scarcity, and farmers exchanged timber trees in exchange for cereals. To lessen the effects of drought, some farmers were growing tree species for fruit, fuel wood, timber, and fodder in place of annual crops (<xref ref-type="bibr" rid="ref76">Miyan, 2015</xref>). These studies demonstrate that establishing drought-tolerant trees and crops can help alleviate high-temperature and low-rainfall-induced drought conditions.</p>
</sec>
<sec id="sec12">
<label>6</label>
<title>Tsunami</title>
<p>Tsunamis are waves that occur near or under the ocean. The rising sea levels induced flooding due to storms and/or tsunamis severely affect coastal communities. Climate-associated geological changes triggered the frequency of earthquakes as well as volcanic eruptions, which, in turn, intensify the threat of tsunamis (<xref ref-type="bibr" rid="ref67">Latief et al., 2007</xref>). The intensity of damage by a tsunami strike in a coastal area is determined by its strength, coastal geomorphology, area topography, and land use-land cover (<xref ref-type="bibr" rid="ref17">Chadha et al., 2005</xref>; <xref ref-type="bibr" rid="ref66">Kurian et al., 2006</xref>). Using coastal vegetation for averting disaster incidences was discussed more than 100&#x2009;years ago in Japan (<xref ref-type="bibr" rid="ref50">Honda, 1898</xref>). The coastal vegetation can disperse the energy of the waves, check ingress and flooding debris to a significant level, and reduce the chances of severe consequences (<xref ref-type="bibr" rid="ref88">ProAct, 2008</xref>). Furthermore, the shelterbelts can be designed to achieve a number of additional benefits, including economic (for provisioning food, fuel wood, timber, and household requirements) and environmental (moderating winds, checking sand dune expansion, improving esthetics, and checking erosion) (<xref ref-type="bibr" rid="ref27">De Zoysa, 2008</xref>). In contrast, coastlines devoid of any vegetation are always susceptible to storms and tsunami disasters (<xref ref-type="bibr" rid="ref26">Danielsen et al., 2005</xref>). In some countries, reports have outlined that the coastal communities situated at the back of tree cover are less affected compared to those coastal communities that are directly exposed to the sea (<xref ref-type="bibr" rid="ref26">Danielsen et al., 2005</xref>; <xref ref-type="bibr" rid="ref102">Stein and Okal, 2005</xref>; <xref ref-type="bibr" rid="ref67">Latief et al., 2007</xref>).</p>
<p>The establishment and strengthening of greenbelts or coastal forests (including mangroves) can play an important role in minimizing the consequences of future extreme disaster events (<xref ref-type="bibr" rid="ref26">Danielsen et al., 2005</xref>). To effectively check tsunami damage, the <xref ref-type="bibr" rid="ref88">ProAct (2008)</xref> recommends a protective mangrove greenbelt width of 100 to 200&#x2009;m. Parameters like bioshield width, tree height, and stem diameter have been noted to be the key characteristics influencing impact mitigation (<xref ref-type="bibr" rid="ref67">Latief et al., 2007</xref>). In addition, multitier agroforestry systems, such as home gardens, have also been found effective in resisting the impacts of climate change. The people living along the coast have acknowledged the importance of these home gardens as protective instruments. Particularly, in Sri Lanka, home gardens have been recognized as future protection measures. In Tamil Nadu, India, areas with mangrove forests aid in protecting human life from tsunami like disasters (<xref ref-type="bibr" rid="ref58">Kathiresan and Rajendran, 2005</xref>). Overall, most of the research studies have recommended an &#x2018;integrated coastal vegetation management system&#x2019; (<xref ref-type="fig" rid="fig9">Figure 9</xref>) that could augment the vegetation bioshield for many years along the coastal areas (<xref ref-type="bibr" rid="ref103">Tanaka, 2009</xref>).</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption><p>Schematic of a vegetation bioshield in the coastal region for storm protection (Adapted from: <xref ref-type="bibr" rid="ref103">Tanaka, 2009</xref>).</p></caption>
<graphic xlink:href="ffgc-07-1379741-g009.tif"/>
</fig>
<p>The resistance to withstand the tsunami varies with the types of tree species and characteristics of the vegetation (<xref ref-type="fig" rid="fig10">Figure 10</xref>). For instance, during the 1998 Papua New Guinea tsunami disaster, <italic>Casuarina</italic> trees provided relatively higher resistance compared to palm trees (<xref ref-type="bibr" rid="ref28">Dengler and Preuss, 2003</xref>). In contrast, the older belts of <italic>Casuarina equisetifolia</italic> trees were found ineffective to provide good quality protection in Sri Lanka and Thailand during the tsunami (<xref ref-type="bibr" rid="ref108">Tanaka et al., 2006a</xref>,<xref ref-type="bibr" rid="ref106">b</xref>, <xref ref-type="bibr" rid="ref107">2007</xref>). <italic>Casuarina</italic> shelterbelt also provided social and ecological impacts in a better way than the potential economic benefits (<xref ref-type="bibr" rid="ref27">De Zoysa, 2008</xref>). The effect of the location of tree cover or vegetation indicated that man-made structures placed directly at the back of the most widespread mangroves were not much damaged (<xref ref-type="bibr" rid="ref25">Dahdouh-Guebas et al., 2005</xref>), and the intense mangroves of <italic>Rhizophora</italic> spp. and <italic>Avicennia</italic> spp. reduced the damage by 96% in most cases (<xref ref-type="bibr" rid="ref26">Danielsen et al., 2005</xref>). The directly exposed villages experienced maximum damage; those behind the mangroves had a medium level of damage, though the distance between the shoreline and the settlement is also a major factor determining the fatalities and damage. The vegetation in front of the settlement caused around 8% decline in casualties (<xref ref-type="bibr" rid="ref6">Bayas et al., 2011</xref>). The thick vegetation at the back of settlements resulted in unfavorable effects, increasing structural damage and casualties. Thus, for future coastal planning, productive agroforestry belts should be developed in front of coastal communities, whereas cropping area must be allocated to the back of the villages. The relationship between the crown height and tsunami height is also important in terms of the drag characteristics of broad-leaved trees because they have large diameters sized branches (<xref ref-type="bibr" rid="ref107">Tanaka et al., 2007</xref>). Moreover, active forest management is necessary to produce all-aged stands with different sizes as well as branches at all levels to improve the mitigation potential, mainly in smaller tsunami events (<xref ref-type="bibr" rid="ref36">FAO, 2007</xref>). For example, the two layers of vegetation with <italic>P. odoratissimus</italic> and <italic>C. equisetifolia</italic> in a vertical direction demonstrated a strong ability to reduce the damage at the back of the vegetation cover (<xref ref-type="bibr" rid="ref107">Tanaka et al., 2007</xref>). The coastal grasses (<italic>Spinifex littoreu</italic> and <italic>Ipomoea pes-caprae</italic>) in front of the coastal forest also played an important role in decreasing dune erosion during the low-level tsunami (<xref ref-type="bibr" rid="ref94">Sasaki et al., 2007</xref>). The integration of diverse tree species has also been advocated along the coastal areas (<xref ref-type="bibr" rid="ref107">Tanaka et al., 2007</xref>, <xref ref-type="bibr" rid="ref104">2008b</xref>). These coastal vegetation captures debris to help humans go up to escape as well as provide a soft landing place during tsunami events (<xref ref-type="bibr" rid="ref106">Tanaka et al., 2006b</xref>, <xref ref-type="bibr" rid="ref107">2007</xref>).</p>
<fig position="float" id="fig10">
<label>Figure 10</label>
<caption><p>Vegetation characteristics that affect the tsunami mitigation potential.</p></caption>
<graphic xlink:href="ffgc-07-1379741-g010.tif"/>
</fig>
<p>Several studies on the tsunami that ravaged India in 2004 indicated the effectiveness of vegetation along the coastline in saving human lives and infrastructure (<xref ref-type="bibr" rid="ref25">Dahdouh-Guebas et al., 2005</xref>; <xref ref-type="bibr" rid="ref26">Danielsen et al., 2005</xref>; <xref ref-type="bibr" rid="ref45">Harada and Kawata, 2005</xref>; <xref ref-type="bibr" rid="ref108">Tanaka et al., 2006a</xref>,<xref ref-type="bibr" rid="ref106">b</xref>, <xref ref-type="bibr" rid="ref107">2007</xref>; <xref ref-type="bibr" rid="ref80">Nandasena et al., 2007</xref>; <xref ref-type="bibr" rid="ref94">Sasaki et al., 2007</xref>; <xref ref-type="bibr" rid="ref105">Tanaka and Sasaki, 2007</xref>). In Sri Lanka, the home gardens exhibited greater resilience and protection from the 2004 tsunami, and the houses in their vicinity of home gardens received less damage (<xref ref-type="bibr" rid="ref73">Mattsson et al., 2009</xref>). The farmers of Central American hillsides have been using diversified practices like intercropping, cover crops, and agroforestry models. They reported less damage in diversified practices compared to their conventional monoculture system during Hurricane Mitch. It was observed that the diversified farms had 20 to 40% more topsoil due to less erosion and better soil moisture and experienced lesser economic losses than the monoculture farms (<xref ref-type="bibr" rid="ref002">Holt-Gim&#x00E9;nez, 2002</xref>).</p>
</sec>
<sec id="sec13">
<label>7</label>
<title>Cyclone</title>
<p>A cyclone is a large system of winds that circulates around a center of low atmospheric pressure in a counter clockwise direction. Researchers have predicted that high temperature-induced warming in oceans is expected to intensify storm events, and it is believed that there will be a higher proportion of the most powerful and destructive storms (<xref ref-type="bibr" rid="ref53">IPCC, 2021</xref>). Tree species play an important role in reducing the severity of storms and other similar events. For instance, during or after typhoons, the top priority could be to use trees for consuming or selling fruits, fuelwood, charcoal, or timber to augment income loss from the damaged crops, besides providing fodder for the livestock (<xref ref-type="bibr" rid="ref115">Udmale et al., 2014</xref>). Windbreaks can lower cyclone-type high wind speeds across the land surface through a number of physical mechanisms, which in turn reduce the mobilization and movement of dust and dust-related particles (<xref ref-type="bibr" rid="ref48">Heisler and Dewalle, 1988</xref>; <xref ref-type="bibr" rid="ref112">Tibke, 1988</xref>). Large agricultural landscapes frequently need multiple barriers to effectively control wind erosion because the zone of reduced wind speed typically extends 10 to 20 times the tree heights downwind of a windbreak (<xref ref-type="bibr" rid="ref112">Tibke, 1988</xref>). Windbreak also provides additional benefits, such as reduced greenhouse emissions and adaptation to harsh weather (<xref ref-type="bibr" rid="ref37">FAO, 2013</xref>). For instance, planting a windbreak to reduce the effect of cyclones also sequesters carbon, which in turn maintains the long-term health and productivity of the soil (<xref ref-type="bibr" rid="ref95">Schoeneberger et al., 2012</xref>). Additionally, compared to monoculture farms, agroecologically managed farms have the potential for a faster productive recovery (80&#x2013;90% within 40&#x2009;days following the hurricane) (<xref ref-type="bibr" rid="ref93">Rosset et al., 2011</xref>). For example, in Sotonusco, Chiapas, <xref ref-type="bibr" rid="ref86">Philpott et al. (2008)</xref> reported less damage to more diverse coffee systems during hurricane events compared to less diverse coffee systems. Similarly, in Cuba, diversified farms showed 50% lower losses as opposed to 90&#x2013;100% extensive losses in monocultures. In order to lessen the perceived risk brought on by the increasing floods and landslide incidents, many farmers grow trees and refrain from cutting them. Farmers may be able to reduce their exposure to major storm events by carefully maintaining their crops. Although unfavorable geographic elements of farms may be beyond farmers&#x2019; control, the increasing complexity and diversity of the flora within farms could be a successful tactic to lessen some sensitivity to hurricane disturbances (<xref ref-type="bibr" rid="ref86">Philpott et al., 2008</xref>).</p>
</sec>
<sec id="sec14">
<label>8</label>
<title>Future implications, challenges, and research needs</title>
<p>Across the globe, the increasing frequency and duration of extreme weather events like extreme seasonal temperatures, droughts, and high rainfall events, as well as extreme storms (cyclones and tsunamis), are increasingly posing major threats to agriculture and livestock in general and to humans in particular. The planning and practice of agroforestry have, time and again, demonstrated enormous potential in curtailing extreme weather-related damages to a great extent. Agri-silviculture for crop-tree production and silvi-pasture for pasture production have proven highly effective in countering the effects of extreme temperatures by maintaining crop yield. Under high rainfall conditions, multi-tiered/homestead agroforestry for generating multiple outputs, aqua-forestry for fish-tree production, and alley cropping for erosion control have been found highly effective and may be adopted in regions experiencing extreme rain events. In drought-prone areas, despite the success of large number of tree based farming systems, silvipasture for fodder production showed exceptional performance in terms of maintaining and increasing the livestock milk production. For large-scale catastrophic disturbances such as tsunamis and cyclones, the planning and designing of shelterbelts and windbreak-based bio-shields can largely reduce the damages as anticipated by the predicted climate change. Assessment based on current literature led to the conceptualization of various potential agroforestry systems suitable for obtaining greater economic and ecological benefits under different extreme weather events, as illustrated in <xref ref-type="fig" rid="fig11">Figure 11</xref>. However, the extent of climate change mitigation via agroforestry varies with the type of species and the intensification level of each tree component in the agriculture system. Specifically, the findings of the literature available until date explained that the climate resilience is low in a cropland, moderate in a boundary plantation, high in a strip plantation, and very high in a mixed species block plantation (<xref ref-type="fig" rid="fig12">Figure 12</xref>). Until now, little to moderate data on field-based evidence is available for countering extreme weather events through agroforestry, therefore, emphasis needs to be given to document precise information for designing the best possible practices to sustain agriculture and animal productivity in the climate change era.</p>
<fig position="float" id="fig11">
<label>Figure 11</label>
<caption><p>Conceptual diagram depicting suitability of various agroforestry systems for different extreme weather events.</p></caption>
<graphic xlink:href="ffgc-07-1379741-g011.tif"/>
</fig>
<fig position="float" id="fig12">
<label>Figure 12</label>
<caption><p>Conceptual framework depicting process of enhancing climate resilience of the agro-ecosystem.</p></caption>
<graphic xlink:href="ffgc-07-1379741-g012.tif"/>
</fig>
<p>Despite the good adaptation response of agroforestry to extreme weather events, several constraints and challenges at the national and global level have plagued the expansion of agroforestry in new areas. Some of the challenges that were sought were: lack of quality plating material, poor knowledge of local people on agroforestry benefits, poor extension strategies, existence of multiple abiotic stresses, lack of policy and program on promotion of agroforestry, limited best agroforestry practices and models, lack of high-value agroforestry models, and non-availability of data on the relative comparison of resilient agroforestry systems. In order to shift from a crop-based production system to an agroforestry-based farming system, several research, technological, extension, and policy interventions are needed to be addressed immediately and on priority. The most common agroforestry practices in world, include, improved fallow, multifunctional trees on farms and rangelands, alley cropping, home gardens, silvopastoral systems, windbreaks, shelterbelts, taungya farming, and shaded perennial-crop systems. However, the most successful agroforestry practice is the combination of poplar (<italic>Populus deltiodes</italic>) and wheat, which have successfully spread over a thousand hectares in different states in Northern India. Moreover, for successful promotion and upscaling of these types of agroforestry across different region of the globe, various interventions, such as the development of farmer-friendly agroforestry practices, the multiplication and upscaling of superior germplasm, the dissemination of knowledge on ecosystem services, the establishment of wood-based industries, the easy access to wood-based markets, the development of agroforestry based business models, the creation of insurance, credit and subsidy scheme for tree planting, and imparting training and capacity-building to the stakeholders, etc. could be very helpful in transforming crop based production systems to agroforestry based production systems.</p>
<p>Climate change, especially extreme weather events, is causing huge damage to agricultural crops and allied sectors across the globe. The high temperature, abnormal rainfall, and prolonged drought conditions are creating adverse effects on the crops, and in most cases, the failure of agricultural crops has been reported. The devising relationships between extreme weather, crop yield reduction, and agroforestry benefits could provide precise information about crop selection and the design of a mitigation strategy under such conditions. The prolonged exposure of some sensitive tree species to extreme temperatures, rainfall, and drought could adversely affect their growth and biomass production; hence, tree species should be identified those can withstand such harsh conditions. Arid and semi-arid regions are worst affected by extreme weather events, and soil water limitations are the main hindrance to the adoption of commercial agroforestry. Under such conditions, metabolite yielding tree species should be identified, as extreme environments might instigate higher metabolite production in the trees. Further, the complexity of the existence of multiple traits (timber, fuelwood, fodder, and fruit) in tree species makes it difficult to decide which type of trait will be more suitable under a particular type of extreme climate. The information on the level of spatial and temporal intensification of trees in agricultural lands also needs to be redesigned to combat and reduce the adverse effects of extreme weather. To consolidate the claims in the current knowledge further focus need to be exerted on issues that would strengthen adoption of agroforestry as a climate adoption practice.</p>
<list list-type="bullet">
<list-item><p>Although extreme weather events occur in every part of the world but their documentation is very poor with reference to the analyzing agroforestry response.</p></list-item>
<list-item><p>Better analysis of the interaction between the various climate change and mitigation aspects like extreme weather, carbon sequestration, greenhouse gas emission and microclimate moderation, and regional climate amelioration with agroforestry.</p></list-item>
<list-item><p>Developing programs for increasing understanding of climate issues and learning from the field experience of farmers on agroforestry designs and their potential in fulfilling adaptation and mitigation objectives, etc., should be prioritized.</p></list-item>
<list-item><p>Agroforestry-based climate resilience should also meet productivity, profitability, and sustainability objectives at the farm level.</p></list-item>
<list-item><p>Identification of agroforestry tree species for different agroecological and farming systems that meet both production and ecological objectives in general and for the domestication and promotion of tree species suitable for agroforestry in climate-vulnerable regions should be focused on.</p></list-item>
<list-item><p>Extreme weather events can also have adverse effects on tree components; therefore, identifying climate-resilient species and their germplasm is important for climate change adaptation.</p></list-item>
<list-item><p>The formulation and promotion of appropriate policies, programs, action plans, and institutional infrastructure for greater adoption of agroforestry are urgent needs.</p></list-item>
</list>
</sec>
<sec sec-type="conclusions" id="sec15">
<label>9</label>
<title>Conclusion</title>
<p>The current literature suggests that maintenance and promotion of diverse agroforestry practices at the farm level, with high resilience and multiple benefits, can considerably contribute to the mitigation and adaptation to climate change. Under present conditions, agri-silviculture, home garden, and silvi-pasture are the best systems to cope with the extreme temperature, rainfall, and drought conditions, respectively. Despite the low evidence, the rest of the agroforestry systems can equally contribute to increase farm resilience to extreme weather events. A more complex &#x2018;integrated farming system&#x2019; practice, which is an extension of tropical home gardens, is invariably receiving considerable attention recently among policymakers throughout the world. Though agroforestry practices are adopted by only a small percentage of farmers worldwide, the substantial economic benefits and mitigation-adaptation provided by trees during extreme weather events should be promoted to gather their interest in shifting from monoculture to an agroforestry-based polyculture farming system. Research needs to be focused on the type of tree species to best fulfill the area-specific needs, and the agroforestry package of practices best suited to attain the multiple objectives&#x2014;climate mitigation, adaptation, productivity, and farm profitability&#x2014;should be prioritized. A suitable policy framework for localized as well as regional-level adoption of agroforestry to meet the anticipated impacts under the predicted climate change scenarios needs to be urgently developed and implemented with medium- to long-term goals in sight.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>SD: Writing &#x2013; original draft. RK: Writing &#x2013; review &#x0026; editing, Formal analysis, Conceptualization, Writing &#x2013; original draft. AB: Writing &#x2013; review &#x0026; editing, Visualization. SC: Writing &#x2013; original draft. AU: Writing &#x2013; original draft. MK: Writing &#x2013; review &#x0026; editing, Methodology. AS: Writing &#x2013; review &#x0026; editing, Validation. DJ: Writing &#x2013; review &#x0026; editing. PR: Writing &#x2013; review &#x0026; editing. AH: Writing &#x2013; original draft, Conceptualization. NR: Writing &#x2013; review &#x0026; editing, Supervision.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec17">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Indian Council of Agricultural Research (ICAR), Central Soil Salinity Research Institute (CSSRI), and NICRA (National Innovations in Climate Resilient Agriculture) project through grant no. ICAR-DARE-NICRA-03.</p>
</sec>
<sec sec-type="COI-statement" id="sec18">
<title>Conflict of interest</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 sec-type="disclaimer" id="sec19">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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