PDF(Pubmed)
Abstract：
The creation of protected areas (PAs) is not always based on science; consequently, some aquatic species may not receive the same level of protection as terrestrial ones. The objective of this study was to identify priority areas for the conservation of chelonians in the Brazilian Amazon basin and assess the contribution of PAs, distinguishing between Full Protection Areas, Sustainable Use Areas, and Indigenous Lands for group protection. The entire species modeling procedure was carried out using Species Distribution Models. Location records were obtained from platforms such as SpeciesLink, GBIF, the Hydroatlas database, and WorldClim for bioclimatic variables adjusted with algorithms like Maximum Entropy, Random Forest, Support Vector Machine, and Gaussian-Bayesian. Indigenous lands cover more than 50% of the distribution areas of chelonian species in the Brazilian Amazon. Protected areas with higher conservation importance (Full Protection Areas and Sustainable Use Areas) hold less than 15% of the combined species distribution. Researchers face significant challenges when making decisions with models, especially in conservation efforts involving diverse taxa that differ significantly from one another within a group of individuals.
摘要：
保护区（PA）的建立并不总是基于科学；因此，一些水生物种可能无法获得与陆地物种相同的保护水平。这项研究的目的是确定巴西亚马逊河流域的优先保护区域，并评估PAs的贡献，区分全保护区，可持续利用领域,和土著土地以保护群体。使用物种分布模型进行整个物种建模程序。位置记录是从SpeciesLink等平台获得的，GBIF,Hydroatlas数据库,和WorldClim，用于使用最大熵等算法调整的生物气候变量，随机森林,支持向量机,和高斯贝叶斯。土著土地覆盖了巴西亚马逊地区超过50％的chelonian物种分布区域。保护重要性较高的保护区（全面保护区和可持续利用区）占总物种分布的不到15％。研究人员在使用模型进行决策时面临重大挑战，特别是在涉及不同分类单元的保护工作中，这些分类单元在一组个体中彼此显着不同。
