Laboratorio de Biodiversidad y Conservación de Tetrápodos, Instituto Nacional de Limnología (CONICET - UNL), Ciudad Universitaria -Paraje "El Pozo" (3000), Santa Fe, Santa Fe, Argentina.
Cátedra de Diversidad Animal II, Facultad de Humanidades y Ciencias (FHUC - UNL), Ciudad Universitaria - Paraje "El Pozo" (3000), Santa Fe, Santa Fe, Argentina.
An Acad Bras Cienc. 2022 Sep 5;94(3):e20201773. doi: 10.1590/0001-3765202220201773. eCollection 2022.
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.
气候变化 (CC) 和人类足迹 (HF) 塑造了物种的空间格局,并可能影响保护区域 (PA) 网络的有效性。南美洲东南部草原亚热带-温带热点受威胁鸟类的空间格局是指导保护政策的相关生物多样性特征。然而,PA 网络仅覆盖不到 1%的草原地区,并且与受威胁鸟类最适宜的环境条件区域没有重叠。我们的目标是在 Entre Ríos 找到当前和未来受威胁鸟类(2050 年和 2070 年)最适宜的环境区域。我们应用了系统保护规划协议,使用生态位模型 (ENM) 和 ZONATION,采用分布相互作用函数和 HF 作为成本。然后,我们重叠二进制地图以查找不同时间段的优先区域。HF 显示出更分散的空间配置。PA 网络可能包括 CC 情景和 HF 下受威胁鸟类的适宜环境条件。我们发现,随着时间的推移,景观优先化中显示出更多连通性的区域,为鸟类提供了高质量的环境条件。我们得出结论,通过重叠优先区域可以提高 PA 网络的有效性。我们的方法提供了一个知识库,作为考虑 HF 和 CC 的保护相关决策的贡献。