Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management
Abstract The current policy and goals aimed to conserve biodiversity and manage biodiversity change are often formulated at the global scale. At smaller scales however, biodiversity change is more nuanced leading to a plethora of trends in different metrics of alpha diversity and temporal turnover....
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-10-01
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| Series: | Conservation Science and Practice |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/csp2.12794 |
| _version_ | 1811241981589848064 |
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| author | Jan‐Claas Dajka Josie Antonucci diCarvalho Alexey Ryabov Gregor Scheiffarth Lena Rönn Rob Dekker Kimberley Peters Bo Leberecht Helmut Hillebrand |
| author_facet | Jan‐Claas Dajka Josie Antonucci diCarvalho Alexey Ryabov Gregor Scheiffarth Lena Rönn Rob Dekker Kimberley Peters Bo Leberecht Helmut Hillebrand |
| author_sort | Jan‐Claas Dajka |
| collection | DOAJ |
| description | Abstract The current policy and goals aimed to conserve biodiversity and manage biodiversity change are often formulated at the global scale. At smaller scales however, biodiversity change is more nuanced leading to a plethora of trends in different metrics of alpha diversity and temporal turnover. Therefore, large‐scale policy targets do not translate easily into local to regional management decisions for biodiversity. Using long‐term monitoring data from the Wadden Sea (Southern North Sea), joining structural equation models and general dissimilarity models enabled a better overview of the drivers of biodiversity change. Few commonalities emerged as birds, fish, macroinvertebrates, and phytoplankton differed in their response to certain drivers of change. These differences were additionally dependent upon the biodiversity aspect in question and which environmental data were recorded in each monitoring program. No single biodiversity metric or model sufficed to capture all ongoing change, which requires an explicitly multivariate approaches to biodiversity assessment in local ecosystem management. |
| first_indexed | 2024-04-12T13:44:12Z |
| format | Article |
| id | doaj.art-cff1d1e6212642888fb5c541ec5969e8 |
| institution | Directory Open Access Journal |
| issn | 2578-4854 |
| language | English |
| last_indexed | 2024-04-12T13:44:12Z |
| publishDate | 2022-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Conservation Science and Practice |
| spelling | doaj.art-cff1d1e6212642888fb5c541ec5969e82022-12-22T03:30:44ZengWileyConservation Science and Practice2578-48542022-10-01410n/an/a10.1111/csp2.12794Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for managementJan‐Claas Dajka0Josie Antonucci diCarvalho1Alexey Ryabov2Gregor Scheiffarth3Lena Rönn4Rob Dekker5Kimberley Peters6Bo Leberecht7Helmut Hillebrand8Helmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg GermanyHelmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg GermanyInstitute for Chemistry and Biology of Marine Environments (ICBM), Carl‐von‐Ossietzky University Oldenburg Oldenburg GermanyLower Saxon Wadden Sea National Park Authority (NLPVW) Wilhelmshaven GermanyLower Saxony Water Management, Coastal Defence and Nature Conservation Agency (NLWKN) Oldenburg GermanyDepartment of Coastal Systems NIOZ Royal Netherlands Institute for Sea Research Texel The NetherlandsHelmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg GermanyInstitute of Biology and Environmental Sciences (IBU), Carl‐von‐Ossietzky‐University Oldenburg Oldenburg GermanyHelmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg GermanyAbstract The current policy and goals aimed to conserve biodiversity and manage biodiversity change are often formulated at the global scale. At smaller scales however, biodiversity change is more nuanced leading to a plethora of trends in different metrics of alpha diversity and temporal turnover. Therefore, large‐scale policy targets do not translate easily into local to regional management decisions for biodiversity. Using long‐term monitoring data from the Wadden Sea (Southern North Sea), joining structural equation models and general dissimilarity models enabled a better overview of the drivers of biodiversity change. Few commonalities emerged as birds, fish, macroinvertebrates, and phytoplankton differed in their response to certain drivers of change. These differences were additionally dependent upon the biodiversity aspect in question and which environmental data were recorded in each monitoring program. No single biodiversity metric or model sufficed to capture all ongoing change, which requires an explicitly multivariate approaches to biodiversity assessment in local ecosystem management.https://doi.org/10.1111/csp2.12794biodiversity monitoringconservation governanceeffective number of speciesJaccard dissimilarityspecies exchange ratiospecies richness |
| spellingShingle | Jan‐Claas Dajka Josie Antonucci diCarvalho Alexey Ryabov Gregor Scheiffarth Lena Rönn Rob Dekker Kimberley Peters Bo Leberecht Helmut Hillebrand Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management Conservation Science and Practice biodiversity monitoring conservation governance effective number of species Jaccard dissimilarity species exchange ratio species richness |
| title | Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management |
| title_full | Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management |
| title_fullStr | Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management |
| title_full_unstemmed | Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management |
| title_short | Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management |
| title_sort | modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management |
| topic | biodiversity monitoring conservation governance effective number of species Jaccard dissimilarity species exchange ratio species richness |
| url | https://doi.org/10.1111/csp2.12794 |
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