Transients drive the demographic dynamics of plant populations in variable environments
The dynamics of structured plant populations in variable environments can be decomposed into the ‘asymptotic’ growth contributed by vital rates, and ‘transient’ growth caused by deviation from stable stage structure. We apply this framework to a large, global data base of longitudinal studies of pro...
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Veröffentlicht in: | The Journal of ecology 2016-03, Vol.104 (2), p.306-314 |
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description | The dynamics of structured plant populations in variable environments can be decomposed into the ‘asymptotic’ growth contributed by vital rates, and ‘transient’ growth caused by deviation from stable stage structure. We apply this framework to a large, global data base of longitudinal studies of projection matrix models for plant populations. We ask, what is the relative contribution of transient boom and bust to the dynamic trajectories of plant populations in stochastic environments? Is this contribution patterned by phylogeny, growth form or the number of life stages per population and per species? We show that transients contribute nearly 50% or more to the resulting trajectories, depending on whether transient and stable contributions are partitioned according to their absolute or net contribution to population dynamics. Both transient contributions and asymptotic contributions are influenced heavily by the number of life stages modelled. We discuss whether the drivers of transients should be considered real ecological phenomena, or artefacts of study design and modelling strategy. We find no evidence for phylogenetic signal in the contribution of transients to stochastic growth, nor clear patterns related to growth form. We find a surprising tendency for plant populations to boom rather than bust in response to temporal changes in vital rates and that stochastic growth rates increase with increasing tendency to boom. Synthesis. Transient dynamics contribute significantly to stochastic population dynamics but are often overlooked in ecological and evolutionary studies that employ stochastic analyses. Better understanding of transient responses to fluctuating population structure will yield better management strategies for plant populations, and better grasp of evolutionary dynamics in the real world. |
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We apply this framework to a large, global data base of longitudinal studies of projection matrix models for plant populations. We ask, what is the relative contribution of transient boom and bust to the dynamic trajectories of plant populations in stochastic environments? Is this contribution patterned by phylogeny, growth form or the number of life stages per population and per species? We show that transients contribute nearly 50% or more to the resulting trajectories, depending on whether transient and stable contributions are partitioned according to their absolute or net contribution to population dynamics. Both transient contributions and asymptotic contributions are influenced heavily by the number of life stages modelled. We discuss whether the drivers of transients should be considered real ecological phenomena, or artefacts of study design and modelling strategy. We find no evidence for phylogenetic signal in the contribution of transients to stochastic growth, nor clear patterns related to growth form. We find a surprising tendency for plant populations to boom rather than bust in response to temporal changes in vital rates and that stochastic growth rates increase with increasing tendency to boom. Synthesis. Transient dynamics contribute significantly to stochastic population dynamics but are often overlooked in ecological and evolutionary studies that employ stochastic analyses. Better understanding of transient responses to fluctuating population structure will yield better management strategies for plant populations, and better grasp of evolutionary dynamics in the real world.</description><identifier>ISSN: 0022-0477</identifier><identifier>EISSN: 1365-2745</identifier><identifier>DOI: 10.1111/1365-2745.12528</identifier><identifier>PMID: 26973355</identifier><identifier>CODEN: JECOAB</identifier><language>eng</language><publisher>England: Blackwell Scientific Publ</publisher><subject>asymptotic dynamics ; Biogeography ; demography ; Demography Beyond the Population ; environmental stochasticity ; Evolution ; experimental design ; longitudinal studies ; matrix population models ; phylogeny ; Plant ecology ; plant population dynamics ; Plant populations ; population dynamics ; population structure ; stochastic ; temporal variation ; transient dynamics</subject><ispartof>The Journal of ecology, 2016-03, Vol.104 (2), p.306-314</ispartof><rights>2016 The Authors. published by John Wiley & Sons Ltd on behalf of British Ecological Society.</rights><rights>Journal of Ecology © 2016 British Ecological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5248-5d34a92a3dd5ad7372ceda85be4fca5c80ffdb273616caacf1b11772538324833</citedby><cites>FETCH-LOGICAL-c5248-5d34a92a3dd5ad7372ceda85be4fca5c80ffdb273616caacf1b11772538324833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1365-2745.12528$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1365-2745.12528$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,315,781,785,886,1418,1434,27929,27930,45579,45580,46414,46838</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26973355$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Griffith, Alden</contributor><creatorcontrib>McDonald, Jenni L</creatorcontrib><creatorcontrib>Stott, Iain</creatorcontrib><creatorcontrib>Townley, Stuart</creatorcontrib><creatorcontrib>Hodgson, Dave J</creatorcontrib><creatorcontrib>Griffith, Alden</creatorcontrib><title>Transients drive the demographic dynamics of plant populations in variable environments</title><title>The Journal of ecology</title><addtitle>J Ecol</addtitle><description>The dynamics of structured plant populations in variable environments can be decomposed into the ‘asymptotic’ growth contributed by vital rates, and ‘transient’ growth caused by deviation from stable stage structure. We apply this framework to a large, global data base of longitudinal studies of projection matrix models for plant populations. We ask, what is the relative contribution of transient boom and bust to the dynamic trajectories of plant populations in stochastic environments? Is this contribution patterned by phylogeny, growth form or the number of life stages per population and per species? We show that transients contribute nearly 50% or more to the resulting trajectories, depending on whether transient and stable contributions are partitioned according to their absolute or net contribution to population dynamics. Both transient contributions and asymptotic contributions are influenced heavily by the number of life stages modelled. We discuss whether the drivers of transients should be considered real ecological phenomena, or artefacts of study design and modelling strategy. We find no evidence for phylogenetic signal in the contribution of transients to stochastic growth, nor clear patterns related to growth form. We find a surprising tendency for plant populations to boom rather than bust in response to temporal changes in vital rates and that stochastic growth rates increase with increasing tendency to boom. Synthesis. Transient dynamics contribute significantly to stochastic population dynamics but are often overlooked in ecological and evolutionary studies that employ stochastic analyses. Better understanding of transient responses to fluctuating population structure will yield better management strategies for plant populations, and better grasp of evolutionary dynamics in the real world.</description><subject>asymptotic dynamics</subject><subject>Biogeography</subject><subject>demography</subject><subject>Demography Beyond the Population</subject><subject>environmental stochasticity</subject><subject>Evolution</subject><subject>experimental design</subject><subject>longitudinal studies</subject><subject>matrix population models</subject><subject>phylogeny</subject><subject>Plant ecology</subject><subject>plant population dynamics</subject><subject>Plant populations</subject><subject>population dynamics</subject><subject>population structure</subject><subject>stochastic</subject><subject>temporal variation</subject><subject>transient dynamics</subject><issn>0022-0477</issn><issn>1365-2745</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqFkktv3CAURq2qVTNJu-6uReomGyc8DNibStEofSlSF03UJboGPENkgwv2VPPvizvJqO0mbJDg3AOXj6J4Q_AFyeOSMMFLKit-QSin9bNidVx5XqwwprTElZQnxWlK9xhjITl-WZxQ0UjGOF8VP24j-OSsnxIy0e0smrYWGTuETYRx6zQyew-D0wmFDo09-AmNYZx7mFzwCTmPdhAdtL1F1u9cDH5YZK-KFx30yb5-mM-Ku4_Xt-vP5c23T1_WVzel5rSqS25YBQ0FZgwHI5mk2hqoeWurTgPXNe4601LJBBEaQHekJURKylnNcj1jZ8WHg3ec28Eanc-O0KsxugHiXgVw6t8d77ZqE3aqkqIWVZUF5w-CGH7ONk1qcEnbPndqw5wUqakQgmLZPI1KmdGK0wV9_x96H-bo80tkSoiGZUxm6vJA6RhSirY73ptgteSrljTVkqb6k2-uePt3u0f-MdAM8APwy_V2_5RPfb1eP4rfHeo6CAo20SV1951iIvKnaShjmP0GwRK5_Q</recordid><startdate>201603</startdate><enddate>201603</enddate><creator>McDonald, Jenni L</creator><creator>Stott, Iain</creator><creator>Townley, Stuart</creator><creator>Hodgson, Dave J</creator><creator>Griffith, Alden</creator><general>Blackwell Scientific Publ</general><general>Blackwell Publishing Ltd</general><general>John Wiley and Sons Inc</general><scope>FBQ</scope><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H95</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201603</creationdate><title>Transients drive the demographic dynamics of plant populations in variable environments</title><author>McDonald, Jenni L ; Stott, Iain ; Townley, Stuart ; Hodgson, Dave J ; Griffith, Alden</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5248-5d34a92a3dd5ad7372ceda85be4fca5c80ffdb273616caacf1b11772538324833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>asymptotic dynamics</topic><topic>Biogeography</topic><topic>demography</topic><topic>Demography Beyond the Population</topic><topic>environmental stochasticity</topic><topic>Evolution</topic><topic>experimental design</topic><topic>longitudinal studies</topic><topic>matrix population models</topic><topic>phylogeny</topic><topic>Plant ecology</topic><topic>plant population dynamics</topic><topic>Plant populations</topic><topic>population dynamics</topic><topic>population structure</topic><topic>stochastic</topic><topic>temporal variation</topic><topic>transient dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McDonald, Jenni L</creatorcontrib><creatorcontrib>Stott, Iain</creatorcontrib><creatorcontrib>Townley, Stuart</creatorcontrib><creatorcontrib>Hodgson, Dave J</creatorcontrib><creatorcontrib>Griffith, Alden</creatorcontrib><collection>AGRIS</collection><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McDonald, Jenni L</au><au>Stott, Iain</au><au>Townley, Stuart</au><au>Hodgson, Dave J</au><au>Griffith, Alden</au><au>Griffith, Alden</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transients drive the demographic dynamics of plant populations in variable environments</atitle><jtitle>The Journal of ecology</jtitle><addtitle>J Ecol</addtitle><date>2016-03</date><risdate>2016</risdate><volume>104</volume><issue>2</issue><spage>306</spage><epage>314</epage><pages>306-314</pages><issn>0022-0477</issn><eissn>1365-2745</eissn><coden>JECOAB</coden><abstract>The dynamics of structured plant populations in variable environments can be decomposed into the ‘asymptotic’ growth contributed by vital rates, and ‘transient’ growth caused by deviation from stable stage structure. We apply this framework to a large, global data base of longitudinal studies of projection matrix models for plant populations. We ask, what is the relative contribution of transient boom and bust to the dynamic trajectories of plant populations in stochastic environments? Is this contribution patterned by phylogeny, growth form or the number of life stages per population and per species? We show that transients contribute nearly 50% or more to the resulting trajectories, depending on whether transient and stable contributions are partitioned according to their absolute or net contribution to population dynamics. Both transient contributions and asymptotic contributions are influenced heavily by the number of life stages modelled. We discuss whether the drivers of transients should be considered real ecological phenomena, or artefacts of study design and modelling strategy. 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subjects | asymptotic dynamics Biogeography demography Demography Beyond the Population environmental stochasticity Evolution experimental design longitudinal studies matrix population models phylogeny Plant ecology plant population dynamics Plant populations population dynamics population structure stochastic temporal variation transient dynamics |
title | Transients drive the demographic dynamics of plant populations in variable environments |
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