Long-term population dynamics: Theory and reality in a peatland ecosystem
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/11348 |
Resumo: | 1. Population dynamics is a field rich in theory and poor in long-term observational data. Finding sources of long-term data is critical as ecosystems around the globe continue to change in ways that current theories and models have failed to predict. Here we show how long-term ecological data can improve our understanding about palaeo-population change in response to external environmental factors, antecedent conditions and community diversity. 2. We examined a radiometrically dated sediment core from the Didachara Mire in the mountains of south-western Georgia (Caucasus) and analysed multiple biological proxies (pollen, fern spores, non-pollen palynomorphs, charcoal, diatoms, chrysophyte cysts, midges, mites and testate amoebae). Numerical techniques, including multivariate ordination, rarefaction, independent splitting and trait analysis, were used to assess the major drivers of changes in community diversity and population stability. Integrated multi-proxy analyses are very rare in the Caucasus, making this a unique record of long-term ecological change in a global biodiversity hotspot. 3. Synthesis. Population changes in the terrestrial community coincided primarily with external environmental changes, while populations within the peatland community were affected by both internal and external drivers at different times. In general, our observations accord with theoretical predictions that population increases lead to greater stability and declines lead to instability. Random variation and interspecific competition explain population dynamics that diverged from predictions. Population change and diversity trends were positively correlated in all taxonomic groups, suggesting that population-level instability is greater in more diverse communities, even though diverse communities are themselves more stable. There is a continuing need to confront population theory with long-term data to test the predictive success of theoretical frameworks, thereby improving their ability to predict future change. |
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Long-term population dynamics: Theory and reality in a peatland ecosystemClimate-changeFunctional traitsEcological changeTestate AmebasSouth caucasusYounger dryasBiodiversityPollenForestVegetation1. Population dynamics is a field rich in theory and poor in long-term observational data. Finding sources of long-term data is critical as ecosystems around the globe continue to change in ways that current theories and models have failed to predict. Here we show how long-term ecological data can improve our understanding about palaeo-population change in response to external environmental factors, antecedent conditions and community diversity. 2. We examined a radiometrically dated sediment core from the Didachara Mire in the mountains of south-western Georgia (Caucasus) and analysed multiple biological proxies (pollen, fern spores, non-pollen palynomorphs, charcoal, diatoms, chrysophyte cysts, midges, mites and testate amoebae). Numerical techniques, including multivariate ordination, rarefaction, independent splitting and trait analysis, were used to assess the major drivers of changes in community diversity and population stability. Integrated multi-proxy analyses are very rare in the Caucasus, making this a unique record of long-term ecological change in a global biodiversity hotspot. 3. Synthesis. Population changes in the terrestrial community coincided primarily with external environmental changes, while populations within the peatland community were affected by both internal and external drivers at different times. In general, our observations accord with theoretical predictions that population increases lead to greater stability and declines lead to instability. Random variation and interspecific competition explain population dynamics that diverged from predictions. Population change and diversity trends were positively correlated in all taxonomic groups, suggesting that population-level instability is greater in more diverse communities, even though diverse communities are themselves more stable. There is a continuing need to confront population theory with long-term data to test the predictive success of theoretical frameworks, thereby improving their ability to predict future change.WileySapientiaConnor, SimonColombaroli, DanieleConfortini, FedericoGobet, ErikaIlyashuk, Boris P.Ilyashuk, Elena A.van Leeuwen, Jacqueline F. N.Lamentowicz, Mariuszvan der Knaap, Willem O.Malysheva, ElenaMarchetto, AldoMargalitadze, NinoMazei, YuriMitchell, Edward A. D.Payne, Richard J.Ammann, Brigitta2018-12-07T14:53:05Z2018-012018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11348eng0022-04771365-274510.1111/1365-2745.12865info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-29T10:40:46Zoai:sapientia.ualg.pt:10400.1/11348Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-29T10:40:46Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Long-term population dynamics: Theory and reality in a peatland ecosystem |
title |
Long-term population dynamics: Theory and reality in a peatland ecosystem |
spellingShingle |
Long-term population dynamics: Theory and reality in a peatland ecosystem Connor, Simon Climate-change Functional traits Ecological change Testate Amebas South caucasus Younger dryas Biodiversity Pollen Forest Vegetation |
title_short |
Long-term population dynamics: Theory and reality in a peatland ecosystem |
title_full |
Long-term population dynamics: Theory and reality in a peatland ecosystem |
title_fullStr |
Long-term population dynamics: Theory and reality in a peatland ecosystem |
title_full_unstemmed |
Long-term population dynamics: Theory and reality in a peatland ecosystem |
title_sort |
Long-term population dynamics: Theory and reality in a peatland ecosystem |
author |
Connor, Simon |
author_facet |
Connor, Simon Colombaroli, Daniele Confortini, Federico Gobet, Erika Ilyashuk, Boris P. Ilyashuk, Elena A. van Leeuwen, Jacqueline F. N. Lamentowicz, Mariusz van der Knaap, Willem O. Malysheva, Elena Marchetto, Aldo Margalitadze, Nino Mazei, Yuri Mitchell, Edward A. D. Payne, Richard J. Ammann, Brigitta |
author_role |
author |
author2 |
Colombaroli, Daniele Confortini, Federico Gobet, Erika Ilyashuk, Boris P. Ilyashuk, Elena A. van Leeuwen, Jacqueline F. N. Lamentowicz, Mariusz van der Knaap, Willem O. Malysheva, Elena Marchetto, Aldo Margalitadze, Nino Mazei, Yuri Mitchell, Edward A. D. Payne, Richard J. Ammann, Brigitta |
author2_role |
author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Connor, Simon Colombaroli, Daniele Confortini, Federico Gobet, Erika Ilyashuk, Boris P. Ilyashuk, Elena A. van Leeuwen, Jacqueline F. N. Lamentowicz, Mariusz van der Knaap, Willem O. Malysheva, Elena Marchetto, Aldo Margalitadze, Nino Mazei, Yuri Mitchell, Edward A. D. Payne, Richard J. Ammann, Brigitta |
dc.subject.por.fl_str_mv |
Climate-change Functional traits Ecological change Testate Amebas South caucasus Younger dryas Biodiversity Pollen Forest Vegetation |
topic |
Climate-change Functional traits Ecological change Testate Amebas South caucasus Younger dryas Biodiversity Pollen Forest Vegetation |
description |
1. Population dynamics is a field rich in theory and poor in long-term observational data. Finding sources of long-term data is critical as ecosystems around the globe continue to change in ways that current theories and models have failed to predict. Here we show how long-term ecological data can improve our understanding about palaeo-population change in response to external environmental factors, antecedent conditions and community diversity. 2. We examined a radiometrically dated sediment core from the Didachara Mire in the mountains of south-western Georgia (Caucasus) and analysed multiple biological proxies (pollen, fern spores, non-pollen palynomorphs, charcoal, diatoms, chrysophyte cysts, midges, mites and testate amoebae). Numerical techniques, including multivariate ordination, rarefaction, independent splitting and trait analysis, were used to assess the major drivers of changes in community diversity and population stability. Integrated multi-proxy analyses are very rare in the Caucasus, making this a unique record of long-term ecological change in a global biodiversity hotspot. 3. Synthesis. Population changes in the terrestrial community coincided primarily with external environmental changes, while populations within the peatland community were affected by both internal and external drivers at different times. In general, our observations accord with theoretical predictions that population increases lead to greater stability and declines lead to instability. Random variation and interspecific competition explain population dynamics that diverged from predictions. Population change and diversity trends were positively correlated in all taxonomic groups, suggesting that population-level instability is greater in more diverse communities, even though diverse communities are themselves more stable. There is a continuing need to confront population theory with long-term data to test the predictive success of theoretical frameworks, thereby improving their ability to predict future change. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-07T14:53:05Z 2018-01 2018-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/11348 |
url |
http://hdl.handle.net/10400.1/11348 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0022-0477 1365-2745 10.1111/1365-2745.12865 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817549779992838144 |