This study analysed threats to federally and State‐listed endangered and threatened animal taxa in California, United States, and how threats varied by taxa, habitat use, spatial extent, severity, geographical region and endemic status using threat categories from the International Union for Conservation of Nature (IUCN) Red List Threats Classification Scheme and information from scientific literature and reports. A majority of the taxa evaluated were associated with freshwater habitats and were endemic to California. The most threatened taxonomic groups were fish, followed by mammals and birds. The number of threats was mostly evenly distributed across the State's three geographical regions (i.e., North, Central and South), and no single region had a disproportionately high number of endangered animal taxa. Freshwater taxa were the most affected in nearly every threat category, suggesting that freshwater taxa are more threatened than their terrestrial and marine counterparts. In descending order, the most prominent threats across all taxa were habitat loss, invasive species, climate change and altered hydrology. Threats identified as high severity also tended to have a high spatial extent and vice versa. This study shows that the numerous freshwater faunas in California are disproportionately affected by threats also found in other freshwater systems and Mediterranean‐climate regions, highlighting the scope of the freshwater biodiversity crisis in California. Managing priorities to target the most pervasive threats to endangered freshwater taxa documented in this study will help safeguard freshwater biodiversity against human threats in California and beyond.
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.
- NSF-PAR ID:
- 10457644
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- People and Nature
- Volume:
- 2
- Issue:
- 2
- ISSN:
- 2575-8314
- Page Range / eLocation ID:
- p. 380-394
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Our graphical null model predicts that biodiversity–ecosystem functioning relationships are scale‐dependent. However, we note two important caveats. First, our results indicate an apparent contradiction between predictions based on measurements in biodiversity–ecosystem functioning experiments and from scaling theory. When ecosystem functioning is measured as per unit area (e.g. biomass per m2), as is common in biodiversity–ecosystem functioning experiments, the slope of the biodiversity ecosystem functioning relationship should decrease with increasing scale. Alternatively, when ecosystem functioning is not measured per unit area (e.g. summed total biomass), as is common in scaling studies, the slope of the biodiversity–ecosystem functioning relationship should increase with increasing spatial scale. Second, the underlying macroecological patterns of biodiversity experiments are predictably different from some naturally assembled systems. These differences between the underlying patterns of experiments and naturally assembled systems may enable us to better understand when patterns from biodiversity–ecosystem functioning experiments will be valid in naturally assembled systems.
Synthesis . This paper provides a simple graphical null model that can be extended to any relationship between biodiversity and any ecosystem functioning across space or time. Furthermore, these predictions provide crucial insights into how and when we may be able to extend results from small‐scale biodiversity experiments to naturally assembled regional and global ecosystems where biodiversity is changing. -
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