Application of indicator systems for monitoring and assessment of desertification from national to global scales

Application of indicator systems for monitoring and assessment of desertification from national to global scales
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DOI:
10.1002/ldr.1084
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发表时间:
2011-03
影响因子:
4.7
通讯作者:
S. Sommer;C. Zucca;A. Grainger;M. Cherlet;R. Zougmoré;Y. Sokona;J. Hill;R. D. Peruta;J. Roehrig;G. Wang
S. Sommer;C. Zucca;A. Grainger;M. Cherlet;R. Zougmoré;Y. Sokona;J. Hill;R. D. Peruta;J. Roehrig;G. Wang
中科院分区:
农林科学2区
文献类型:
--
作者:
S. Sommer;C. Zucca;A. Grainger;M. Cherlet;R. Zougmoré;Y. Sokona;J. Hill;R. D. Peruta;J. Roehrig;G. Wang

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本文件建议联合国防治荒漠化公约(《荒漠化公约》)社区如何逐步利用最近通过科学研究制定的分析方法的灵活框架。这使得能够标准化但灵活地使用适应与执行《公约》有关的具体目标或荒漠化问题的指标集。科学在了解旱地退化的主要问题和直接原因方面取得了进展,因此可以从丰富的现有和有文件记载的指标系统中选择指标集。应根据适应荒漠化概念框架的现有指标框架(如旱地发展范例)给出的透明标准来指导选择和组合,并可作为从现有数据库中选择针对地区和主题的指标集的务实切入点。建议通过有意义的分层对不同的旱地亚类开展工作,以划定国家一级以外受影响地区的范围并确定其特征。可通过将现有土地利用信息与更多的生物物理和社会经济数据集结合起来,将基于指标的监测和评估纳入具体旱地退化问题及其对关键生态系统服务的影响的框架内,从而实现这种分层。版权所有©2011 John Wiley&Sons,Ltd.
This paper suggests how the United Nations Convention to Combat Desertification (UNCCD) community can progressively make use of a flexible framework of analytical approaches that have been recently developed by scientific research. This allows a standardized but flexible use of indicator sets adapted to specific objectives or desertification issues relevant for implementing the Convention. Science has made progress in understanding major issues and proximate causes of dryland degradation such that indicator sets can be accordingly selected from the wealth of existing and documented indicator systems. The selection and combination should be guided according to transparent criteria given by existing indicator frameworks adapted to desertification conceptual frameworks such as the Dryland Development Paradigm and can act as a pragmatic entry point for selecting area‐ and theme‐specific sets of indicators from existing databases. Working on different dryland sub‐types through a meaningful stratification is proposed to delimit and characterize affected areas beyond the national level. Such stratification could be achieved by combining existing land use information with additional biophysical and socio‐economic data sets, allowing indicator‐based monitoring and assessment to be embedded in a framework of specific dryland degradation issues and their impacts on key ecosystem services. Copyright © 2011 John Wiley & Sons, Ltd.