EarthRanger：生态系统监测、研究和管理的开源平台

IF 6.3 2区环境科学与生态学 Q1 ECOLOGY

Methods in Ecology and Evolution Pub Date : 2024-10-03 DOI:10.1111/2041-210X.14399

Jake Wall, Jes Lefcourt, Chris Jones, Chris Doehring, Dan O'Neill, Dennis Schneider, Jordan Steward, Joshua Krautwurst, Tiffany Wong, Bruce Jones, Karen Goodfellow, Ted Schmitt, Kathleen Gobush, Iain Douglas-Hamilton, Frank Pope, Eric Schmidt, Jonathan Palmer, Emma Stokes, Andrea Reid, L. Mark Elbroch, Peter Kulits, Catherine Villeneuve, Victor Matsanza, Geoff Clinning, Jordi van Oort, Kristen Denninger Snyder, Alina Peter Daati, Wesley Gold, Stephen Cunliffe, Batian Craig, Barry Cork, Grant Burden, Marc Goss, Nathan Hahn, Sarah Carroll, Eric Gitonga, Ray Rao, Jared A. Stabach, Frédéric Dulude-de Broin, Patrick Omondi, George Wittemyer

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

EarthRanger: An open-source platform for ecosystem monitoring, research and management

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EarthRanger: An open-source platform for ecosystem monitoring, research and management

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来源期刊

Methods in Ecology and Evolution ECOLOGY-

CiteScore

11.60

自引率

3.00%

发文量

236

审稿时长

4-8 weeks

期刊介绍： A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.