生态学报2026，Vol.46Issue(4)：1892-1902,11.DOI:10.20103/j.stxb.202503190627
基于互补性的重点保护野生动植物优先保护区识别
Identification of priority conservation areas for key protected wild animals and plants based on the principle of complementarity:a case study of Huairou District,Beijing
摘要
Abstract
Protecting national and provincial key protected species and their habitats is the crucial standpoint of biodiversity conservation in China.Efficient and accurate identification of priority conservation areas(PCAs)for these most deserving species facilitates the achievement of national and regional biodiversity conservation goals.This study proposes an algorithm that combines the sorting approach based on species compositional complementarity with probabilistic sampling to identify PCAs.To enhance protection for species with higher conservation value and narrow range,our algorithm incorporates weight scores based on the regional conservation category of each target species,as well as habitat area protection targets.We applied the algorithm to delineate PCAs in Huairou District,Beijing,aiming to attain protection rates of 80%,95%,and 100%for 222 key protected species,the results showed that the PCAs exhibited a fragmented distribution pattern in the district,occupying 5.92%,9.10%and 10.83%of the total study area to achieve the respective protection rate targets.By spatially overlaying the PCA maps with the ecological protection redline map.Conservation gaps were primarily located in the southern region,which represented a critical hotspot for key protected avian species.Compared to hotspot-based PCAs identification approach,our approach demonstrates greater cost-effectiveness in targeting key protected species.Given substantial interspecific variation in spatial distributions,the PCAs identified by our approach exhibit a discrete,patch-like distribution pattern.Site-based conservation should be integrated with regional ecological protection,ensuring effective conservation and management of key species with great importance,while concurrently mitigating impacts from human disturbances and habitat loss.关键词
重点保护物种/公里网格/互补性排序算法/优先保护区/空间规划Key words
key protected species/1 km-grid/complementarity-based sorting algorithms/priority conservation areas/spatial planning引用本文复制引用
朱玥,董文攀,刘浩宇,李果,赵彩云,高晓奇,罗遵兰,孙光,王平,胡晓生,肖文宏..基于互补性的重点保护野生动植物优先保护区识别[J].生态学报,2026,46(4):1892-1902,11.基金项目
国家自然科学基金面上项目(32471743) （32471743）
中国环境科学研究院中央财政科技计划结余经费专项(2021-JY-26) （2021-JY-26）
