Social media data for biodiversity conservation

被引：1

作者：

Adams, Vanessa M. ^{[1
]}

机构：

[1] Univ Tasmania, Sch Geog Planning & Spatial Sci, Private Bag 51, Hobart, Tas 7001, Australia

来源：

TRENDS IN ECOLOGY & EVOLUTION | 2024年 / 39卷 / 01期

基金：

澳大利亚研究理事会;

关键词：

D O I：

10.1016/j.tree.2023.11.012

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Systematic conservation planning is considered best practice for identifying priority areas, but appli-cations remain limited where biodi-versity data are insufficient. In recent article, Chowdhury et al. tap into citizen scientists via Facebook to address this gap in Bangladesh. Here, I discuss the importance their demonstrated pipeline, from data acquisition to conservation prioritisation.

引用

页码：16 / 18

页数：3

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