| 1. |
- Dornelas, M., et al.
(författare)
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BioTIME: A database of biodiversity time series for the Anthropocene
- 2018
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Ingår i: Global Ecology and Biogeography. - : Wiley. - 1466-822X .- 1466-8238. ; 27:7, s. 760-786
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Tidskriftsartikel (refereegranskat)abstract
- Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km(2) (158 cm(2)) to 100 km(2) (1,000,000,000,000 cm(2)). Time period and grainBio: TIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.
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| 2. |
- Bowler, D. E., et al.
(författare)
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Mapping human pressures on biodiversity across the planet uncovers anthropogenic threat complexes
- 2020
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Ingår i: People and Nature. - : Wiley. - 2575-8314. ; 2:2, s. 380-394
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Tidskriftsartikel (refereegranskat)abstract
- Climate change and other anthropogenic drivers of biodiversity change are unequally distributed across the world. Overlap in the distributions of different drivers have important implications for biodiversity change attribution and the potential for interactive effects. However, the spatial relationships among different drivers and whether they differ between the terrestrial and marine realm has yet to be examined. We compiled global gridded datasets on climate change, land-use, resource exploitation, pollution, alien species potential and human population density. We used multivariate statistics to examine the spatial relationships among the drivers and to characterize the typical combinations of drivers experienced by different regions of the world. We found stronger positive correlations among drivers in the terrestrial than in the marine realm, leading to areas with high intensities of multiple drivers on land. Climate change tended to be negatively correlated with other drivers in the terrestrial realm (e.g. in the tundra and boreal forest with high climate change but low human use and pollution), whereas the opposite was true in the marine realm (e.g. in the Indo-Pacific with high climate change and high fishing). We show that different regions of the world can be defined by Anthropogenic Threat Complexes (ATCs), distinguished by different sets of drivers with varying intensities. We identify 11 ATCs that can be used to test hypotheses about patterns of biodiversity and ecosystem change, especially about the joint effects of multiple drivers. Our global analysis highlights the broad conservation priorities needed to mitigate the impacts of anthropogenic change, with different priorities emerging on land and in the ocean, and in different parts of the world. Abstrakt Der Klimawandel und andere anthropogene Faktoren, die die biologische Vielfalt verandern, betreffen nicht alle Teile der Erde in gleicher Weise. Wahrend unsere Kenntnisse zu jedem einzelnen Gefahrdungsfaktor standig wachsen, ist unser Verstandnis zu den raumlichen Beziehungen zwischen den verschiedenen Faktoren und ihr Zusammenwirken noch sehr mangelhaft. Das betrifft z.B. auch die Unterschiede zwischen terrestrischen und marinen Lebensraumen, die sehr unterschiedlichen Bedrohungen ausgesetzt sein konnen, selbst wenn sie eng benachbart sind. In der vorliegenden Studie haben wir globale Datensatze uber Klimawandel, Landnutzung, Ressourcenausbeutung, Umweltverschmutzung, biologische Invasionen und Bevolkerungsdichte zusammengestellt. Mit Hilfe multivariater Statistiken haben wir die raumlichen Beziehungen zwischen diesen Ursachen des globalen Biodiversitatswandels und deren Kombinationen untersucht, um deren Einfluss auf verschiedene Regionen der Welt zu charakterisieren. Insbesondere in den terrestrischen Regionen wirken die genannten Gefahrdungsfaktoren haufig in der gleichen Richtung, vor allem solche, die zum Teil besonders hohe Belastungen darstellen. Regionen mit starker ausgepragtem Klimawandel sind tendenziell solche Gebiete, in denen die Gefahrdung durch andere Faktoren eher geringer ist, wie z.B. in der Tundra und im borealen Nadelwald, die stark vom Klimawandel, aber weniger von hoher Nutzungsintensitat und Verschmutzung betroffen sind. Dagegen treten in den Meeresregionen gegenteilige Muster auf, wo z.B. im Indopazifik ein sehr ausgepragter Klimawandel einer hoher Ressourcenausbeutung durch Fischerei zusammenfallt. Die Regionen der Welt lassen sich in Klassen unterschiedlicher Interaktionen und Intensitaten dieser anthropogenen Gefahrungsfaktoren unterteilen. Diese insgesamt 11 verschiedene Faktorenklassen konnen nun dazu verwendet werden, Auswirkungen auf Biodiversitat zu untersuchen und die Gefahrdungs-Hotspots zu identifizieren. Diese Hotspots sind diejenigen gro ss raumigen Meeres- und Festlandsregionen, in denen prioritar Naturschutzma ss nahmen angewendet werden mussen, um den Auswirkungen des anthropogenen Biodiversitatswandels entgegenzutreten. A free Plain Language Summary can be found within the Supporting Information of this article. A free Plain Language Summary can be found within the Supporting Information of this article.
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| 3. |
- Daskalova, G. N., et al.
(författare)
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Landscape-scale forest loss as a catalyst of population and biodiversity change
- 2020
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Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 368:6497, s. 1341-1347
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Tidskriftsartikel (refereegranskat)abstract
- Global biodiversity assessments have highlighted land-use change as a key driver of biodiversity change. However, there is little empirical evidence of how habitat transformations such as forest loss and gain are reshaping biodiversity over time. We quantified how change in forest cover has influenced temporal shifts in populations and ecological assemblages from 6090 globally distributed time series across six taxonomic groups. We found that local-scale increases and decreases in abundance, species richness, and temporal species replacement (turnover) were intensified by as much as 48% after forest loss. Temporal lags in population- and assemblage-level shifts after forest loss extended up to 50 years and increased with species' generation time. Our findings that forest loss catalyzes population and biodiversity change emphasize the complex biotic consequences of land-use change.
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