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土地退化和荒漠化监测指标的评估与选择:方法学途径

Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach.

作者信息

Kosmas C, Kairis Or, Karavitis Ch, Ritsema C, Salvati L, Acikalin S, Alcala M, Alfama P, Atlhopheng J, Barrera J, Belgacem A, Solé-Benet A, Brito J, Chaker M, Chanda R, Coelho C, Darkoh M, Diamantis I, Ermolaeva O, Fassouli V, Fei W, Feng J, Fernandez F, Ferreira A, Gokceoglu C, Gonzalez D, Gungor H, Hessel R, Juying J, Khatteli H, Khitrov N, Kounalaki A, Laouina A, Lollino P, Lopes M, Magole L, Medina L, Mendoza M, Morais P, Mulale K, Ocakoglu F, Ouessar M, Ovalle C, Perez C, Perkins J, Pliakas F, Polemio M, Pozo A, Prat C, Qinke Y, Ramos A, Ramos J, Riquelme J, Romanenkov V, Rui L, Santaloia F, Sebego R, Sghaier M, Silva N, Sizemskaya M, Soares J, Sonmez H, Taamallah H, Tezcan L, Torri D, Ungaro F, Valente S, de Vente J, Zagal E, Zeiliguer A, Zhonging W, Ziogas A

出版信息

Environ Manage. 2014 Nov;54(5):951-70. doi: 10.1007/s00267-013-0109-6.

Abstract

An approach to derive relationships for defining land degradation and desertification risk and developing appropriate tools for assessing the effectiveness of the various land management practices using indicators is presented in the present paper. In order to investigate which indicators are most effective in assessing the level of desertification risk, a total of 70 candidate indicators was selected providing information for the biophysical environment, socio-economic conditions, and land management characteristics. The indicators were defined in 1,672 field sites located in 17 study areas in the Mediterranean region, Eastern Europe, Latin America, Africa, and Asia. Based on an existing geo-referenced database, classes were designated for each indicator and a sensitivity score to desertification was assigned to each class based on existing research. The obtained data were analyzed for the various processes of land degradation at farm level. The derived methodology was assessed using independent indicators, such as the measured soil erosion rate, and the organic matter content of the soil. Based on regression analyses, the collected indicator set can be reduced to a number of effective indicators ranging from 8 to 17 in the various processes of land degradation. Among the most important indicators identified as affecting land degradation and desertification risk were rain seasonality, slope gradient, plant cover, rate of land abandonment, land-use intensity, and the level of policy implementation.

摘要

本文提出了一种方法,用于推导定义土地退化和荒漠化风险的关系,并开发使用指标评估各种土地管理实践有效性的适当工具。为了研究哪些指标在评估荒漠化风险水平方面最有效,总共选择了70个候选指标,这些指标提供了生物物理环境、社会经济条件和土地管理特征方面的信息。这些指标在位于地中海地区、东欧、拉丁美洲、非洲和亚洲的17个研究区域的1672个实地地点进行了定义。基于现有的地理参考数据库,为每个指标指定了类别,并根据现有研究为每个类别分配了对荒漠化的敏感性评分。对农场层面土地退化的各种过程所获得的数据进行了分析。使用独立指标(如测量的土壤侵蚀率和土壤有机质含量)对推导的方法进行了评估。基于回归分析,在土地退化的各种过程中,收集的指标集可以减少到8至17个有效指标。确定为影响土地退化和荒漠化风险的最重要指标包括雨季季节性、坡度、植被覆盖、土地废弃率、土地利用强度和政策实施水平。

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