Optimized monitoring sites for detection of biodiversity trends in ChinaReportar como inadecuado

Optimized monitoring sites for detection of biodiversity trends in China - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Biodiversity and Conservation

, Volume 26, Issue 8, pp 1959–1971

First Online: 10 April 2017Received: 02 December 2016Revised: 18 March 2017Accepted: 30 March 2017DOI: 10.1007-s10531-017-1339-3

Cite this article as: Xu, H., Cao, M., Wu, Y. et al. Biodivers Conserv 2017 26: 1959. doi:10.1007-s10531-017-1339-3


Properly designed monitoring networks can generate data to understand status and trends of biodiversity, and to assess progress towards conservation targets. However, biodiversity monitoring is often affected by poor sampling design. We proposed an approach to choosing optimized monitoring sites among large areas. Based on comprehensive distribution data of 34,284 vertebrates and vascular plants from 2376 counties in China, we selected 564 optimized monitoring sites counties through complementarity analysis and pre-existing knowledge of nature reserves. The optimized monitoring sites are complementary to each other and reasonably distributed, to ensure that maximum species are covered while the total number of sites and monitoring costs are minimized. Incongruence of optimized monitoring sites among different taxa indicates that taxa with different ecological features should be selected for large-scale monitoring programmes. The results of this study have been applied in the design and operation of China Biodiversity Observation Network.

KeywordsComplementarity analysis Endemism Sampling design Threatened species Vascular plants Vertebrates Biodiversity observation network Essential biodiversity variables Communicated by Dirk Sven Schmeller.

Electronic supplementary materialThe online version of this article doi:10.1007-s10531-017-1339-3 contains supplementary material, which is available to authorized users.

Autor: Haigen Xu - Mingchang Cao - Yi Wu - Lei Cai - Yun Cao - Hui Ding - Peng Cui - Jun Wu - Zhi Wang - Zhifang Le - Xiaoqiang

Fuente: https://link.springer.com/

Documentos relacionados