Mapping the missing: assessing amphibian sampling completeness and overlap with global protected areas
收藏DataONE2025-03-21 更新2025-04-26 收录
下载链接:
https://search.dataone.org/view/sha256:f09d3ae5a061d431721bfdf4d047857edd322f1ddeb0a27828b984a017485b43
下载链接
链接失效反馈官方服务:
资源简介:
The aim of the study was to assess amphibian sampling completeness and the overlap of sampling completeness categories with natural protected areas (NPAs) and key biodiversity areas (KBAs) at global scale. We evaluated amphibian sampling completeness across six of the earth's eight biogeographic realms to identify wellâsampled, underâsampled, and dataâgap areas in the context of global amphibian distribution. Additionally, we examined the spatial overlap of each sampling category with NPAs and KBAs. The Nearctic and Australasian realms had the highest number of records and wellâsampled areas. Significant data gaps were identified, particularly in the Afrotropical, IndoâMalayan, Neotropical, and Palearctic realms. We found low levels of spatial match (<â35%) between classified areas and NPAs/KBAs. Amphibian distribution data are largely incomplete, with the most extensive gaps in the most speciesârich realms: Neotropic, IndoâMalayan, and Afrotropical. The low overlap between underâsam..., , , # **Mapping amphibian data gaps: global assessment of sampling completeness and overlap with protected and key biodiversity areas**
This dataset is part of the Data Availability Statement of the article Mapping the Missing: Assessing Amphibian Sampling Completeness and Overlap With Global Protected Areas (DOI: 10.1002/ECE3.71137), published in Ecology and Evolution. The article provides detailed citations for each dataset used, along with a full description of the processing steps applied.
To respect the usage rights of publicly available datasets, we do not share the original files but instead provide simplified versions that retain only the essential structure required to replicate our analyses. We strongly encourage users to access the original datasets for a more comprehensive source of information.
The most important datasets to run through the available scripts are:
Global amphibian distribution data: Retrieved from the Global Biodiversity Information Facility (GBIF) and avail...,
创建时间:
2025-03-22



