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Threatened birds, climate change, and human footprint: protected areas network in Neotropical grassland hotspot

Overview of attention for article published in Anais da Academia Brasileira de Ciências, January 2022
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Title
Threatened birds, climate change, and human footprint: protected areas network in Neotropical grassland hotspot
Published in
Anais da Academia Brasileira de Ciências, January 2022
DOI 10.1590/0001-3765202220201773
Pubmed ID
Authors

JUAN A. SARQUIS, ALEJANDRO R. GIRAUDO, MAXIMILIANO A. CRISTALDI, VANESA ARZAMENDIA

Abstract

Climate change (CC) and human footprint (HF) shape species spatial patterns and may affect the effectiveness of Protected Areas (PAs) network. Spatial patterns of threatened bird species of Subtropical-temperate hotspots in Southeastern South American grasslands are relevant biodiversity features to guide conservation policies. However, the PAs network covers less than 1% of grassland areas and does not overlap areas with the most suitable environmental conditions for threatened birds. Our aim was to find the most environmentally suitable areas for both current and future threatened birds (2050 and 2070) in Entre Ríos. We applied Systematic Conservation Planning protocols with Ecological Niche Models (ENMs) and ZONATION using distribution interaction function and HF as a cost. Then we overlapped binary maps to find priority areas among time periods. HF showed a more fragmented spatial configuration. The PAs network may include environmentally suitable conditions for threatened birds in CC scenarios and HF. We found areas that showed more connectivity in landscape prioritization over time and ensure high-quality environmental conditions for birds. We concluded that the effectiveness of the PAs network could be improved by overlapping priority areas. Our approach provides a knowledge base as a contribution to conservation-related decisions by considering HF and CC.

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Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 20%
Professor > Associate Professor 1 7%
Student > Ph. D. Student 1 7%
Unknown 10 67%
Readers by discipline Count As %
Environmental Science 2 13%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Psychology 1 7%
Engineering 1 7%
Other 0 0%
Unknown 8 53%