Nonlocal grazing in patterned ecosystems
•Spatial modelling of grazing through a nonlocal response.•Skipping of states in the desertification process due to overgrazing.•Suppression of patterning by a strong aggregative response. Many ecosystems exhibit gapped, labyrinthine, striped or spotted patterns. Important examples are vegetation pa...
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Veröffentlicht in: | Journal of theoretical biology 2018-01, Vol.436, p.64-71 |
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description | •Spatial modelling of grazing through a nonlocal response.•Skipping of states in the desertification process due to overgrazing.•Suppression of patterning by a strong aggregative response.
Many ecosystems exhibit gapped, labyrinthine, striped or spotted patterns. Important examples are vegetation patterns in drylands: these patterns are viewed as precursors of a catastrophic transition to a degraded state. A possible source of degradation is overgrazing, but many current spatially extended models include grazing in a local linear way. In this article nonlocal grazing responses are derived, taking into account (1) how many consumers there are (demographic response) (2) where they are (aggregative response) and (3) how much they forage (functional response). Different assumptions lead to different grazing responses, the type of grazing has a large influence on how ecosystems adapt to changing environmental conditions. In dryland simulations the different types of grazing are shown to alter the desertification process driven by decreasing rainfall. A sufficiently strong aggregative response leads to the suppression of vegetation patterns, nuancing their role as generic early warning signals. |
doi_str_mv | 10.1016/j.jtbi.2017.10.001 |
format | Article |
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Many ecosystems exhibit gapped, labyrinthine, striped or spotted patterns. Important examples are vegetation patterns in drylands: these patterns are viewed as precursors of a catastrophic transition to a degraded state. A possible source of degradation is overgrazing, but many current spatially extended models include grazing in a local linear way. In this article nonlocal grazing responses are derived, taking into account (1) how many consumers there are (demographic response) (2) where they are (aggregative response) and (3) how much they forage (functional response). Different assumptions lead to different grazing responses, the type of grazing has a large influence on how ecosystems adapt to changing environmental conditions. In dryland simulations the different types of grazing are shown to alter the desertification process driven by decreasing rainfall. A sufficiently strong aggregative response leads to the suppression of vegetation patterns, nuancing their role as generic early warning signals.</description><identifier>ISSN: 0022-5193</identifier><identifier>EISSN: 1095-8541</identifier><identifier>DOI: 10.1016/j.jtbi.2017.10.001</identifier><identifier>PMID: 28986167</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Animals ; Desert Climate ; Desertification ; Ecosystem ; Functional, demographic and aggregative response ; Herbivory - physiology ; Land degradation ; Models, Biological ; Overgrazing ; Partial integro-differential equation ; Plants ; Rain ; Spatial modelling</subject><ispartof>Journal of theoretical biology, 2018-01, Vol.436, p.64-71</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright © 2017 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-f50bea515511e942171df935301cbb791f52065cfa67c759917573ba355ff84f3</citedby><cites>FETCH-LOGICAL-c356t-f50bea515511e942171df935301cbb791f52065cfa67c759917573ba355ff84f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jtbi.2017.10.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28986167$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Siero, E.</creatorcontrib><title>Nonlocal grazing in patterned ecosystems</title><title>Journal of theoretical biology</title><addtitle>J Theor Biol</addtitle><description>•Spatial modelling of grazing through a nonlocal response.•Skipping of states in the desertification process due to overgrazing.•Suppression of patterning by a strong aggregative response.
Many ecosystems exhibit gapped, labyrinthine, striped or spotted patterns. Important examples are vegetation patterns in drylands: these patterns are viewed as precursors of a catastrophic transition to a degraded state. A possible source of degradation is overgrazing, but many current spatially extended models include grazing in a local linear way. In this article nonlocal grazing responses are derived, taking into account (1) how many consumers there are (demographic response) (2) where they are (aggregative response) and (3) how much they forage (functional response). Different assumptions lead to different grazing responses, the type of grazing has a large influence on how ecosystems adapt to changing environmental conditions. In dryland simulations the different types of grazing are shown to alter the desertification process driven by decreasing rainfall. A sufficiently strong aggregative response leads to the suppression of vegetation patterns, nuancing their role as generic early warning signals.</description><subject>Animals</subject><subject>Desert Climate</subject><subject>Desertification</subject><subject>Ecosystem</subject><subject>Functional, demographic and aggregative response</subject><subject>Herbivory - physiology</subject><subject>Land degradation</subject><subject>Models, Biological</subject><subject>Overgrazing</subject><subject>Partial integro-differential equation</subject><subject>Plants</subject><subject>Rain</subject><subject>Spatial modelling</subject><issn>0022-5193</issn><issn>1095-8541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtLxDAUhYMozjj6B1xIl7NpzW2bpAE3MviCQTe6Dml6M6T0MSYdYfz1tszo0tWFw3cO3I-Qa6AJUOC3dVIPpUtSCmIMEkrhhMyBShYXLIdTMqc0TWMGMpuRixBqSqnMM35OZmkhCw5czMnyte-a3ugm2nj97bpN5Lpoq4cBfYdVhKYP-zBgGy7JmdVNwKvjXZCPx4f31XO8fnt6Wd2vY5MxPsSW0RI1A8YAUOYpCKiszFhGwZSlkGBZSjkzVnNhBJMSBBNZqTPGrC1ymy3I8rC79f3nDsOgWhcMNo3usN8FBTIvBB9_pSOaHlDj-xA8WrX1rtV-r4CqyZCq1WRITYambGyNpZvj_q5ssfqr_CoZgbsDgOOXXw69CsZhZ7ByHs2gqt79t_8DNE91YQ</recordid><startdate>20180107</startdate><enddate>20180107</enddate><creator>Siero, E.</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20180107</creationdate><title>Nonlocal grazing in patterned ecosystems</title><author>Siero, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-f50bea515511e942171df935301cbb791f52065cfa67c759917573ba355ff84f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animals</topic><topic>Desert Climate</topic><topic>Desertification</topic><topic>Ecosystem</topic><topic>Functional, demographic and aggregative response</topic><topic>Herbivory - physiology</topic><topic>Land degradation</topic><topic>Models, Biological</topic><topic>Overgrazing</topic><topic>Partial integro-differential equation</topic><topic>Plants</topic><topic>Rain</topic><topic>Spatial modelling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Siero, E.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of theoretical biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Siero, E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nonlocal grazing in patterned ecosystems</atitle><jtitle>Journal of theoretical biology</jtitle><addtitle>J Theor Biol</addtitle><date>2018-01-07</date><risdate>2018</risdate><volume>436</volume><spage>64</spage><epage>71</epage><pages>64-71</pages><issn>0022-5193</issn><eissn>1095-8541</eissn><abstract>•Spatial modelling of grazing through a nonlocal response.•Skipping of states in the desertification process due to overgrazing.•Suppression of patterning by a strong aggregative response.
Many ecosystems exhibit gapped, labyrinthine, striped or spotted patterns. Important examples are vegetation patterns in drylands: these patterns are viewed as precursors of a catastrophic transition to a degraded state. A possible source of degradation is overgrazing, but many current spatially extended models include grazing in a local linear way. In this article nonlocal grazing responses are derived, taking into account (1) how many consumers there are (demographic response) (2) where they are (aggregative response) and (3) how much they forage (functional response). Different assumptions lead to different grazing responses, the type of grazing has a large influence on how ecosystems adapt to changing environmental conditions. In dryland simulations the different types of grazing are shown to alter the desertification process driven by decreasing rainfall. A sufficiently strong aggregative response leads to the suppression of vegetation patterns, nuancing their role as generic early warning signals.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>28986167</pmid><doi>10.1016/j.jtbi.2017.10.001</doi><tpages>8</tpages></addata></record> |
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subjects | Animals Desert Climate Desertification Ecosystem Functional, demographic and aggregative response Herbivory - physiology Land degradation Models, Biological Overgrazing Partial integro-differential equation Plants Rain Spatial modelling |
title | Nonlocal grazing in patterned ecosystems |
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