Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jenvman.2016.09.017 |
Assessing the effectiveness of sustainable land management policies for combating desertification: A data mining approach | |
Salvati, L.8; Kosmas, C.1; Kairis, O.1; Karavitis, C.1; Acikalin, S.5; Belgacem, A.2; Sole-Benet, A.3; Chaker, M.4; Fassouli, V.1; Gokceoglu, C.5; Gungor, H.5; Hessel, R.6; Khatteli, H.2; Kounalaki, A.1; Laouina, A.4; Ocakoglu, F.5; Ouessar, M.2; Ritsema, C.6; Sghaier, M.2; Sonmez, H.5; Taamallah, H.2; Tezcan, L.5; de Vente, J.3; Kelly, C.7; Colantoni, A.10; Carlucci, M.9 | |
通讯作者 | Colantoni, A. |
来源期刊 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
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ISSN | 0301-4797 |
EISSN | 1095-8630 |
出版年 | 2016 |
卷号 | 183页码:754-762 |
英文摘要 | This study investigates the relationship between fine resolution, local-scale biophysical and socioeconomic contexts within which land degradation occurs, and the human responses to it. The research draws on experimental data collected under different territorial and socioeconomic conditions at 586 field sites in five Mediterranean countries (Spain, Greece, Turkey, Tunisia and Morocco). We assess the level of desertification risk under various land management practices (terracing, grazing control, prevention of wildland fires, soil erosion control measures, soil water conservation measures, sustainable farming practices, land protection measures and financial subsidies) taken as possible responses to land degradation. A data mining approach, incorporating principal component analysis, non-parametric correlations, multiple regression and canonical analysis, was developed to identify the spatial relationship between land management conditions, the socioeconomic and environmental context (described using 40 biophysical and socioeconomic indicators) and desertification risk. Our analysis identified a number of distinct relationships between the level of desertification experienced and the underlying socioeconomic context, suggesting that the effectiveness of responses to land degradation is strictly dependent on the local biophysical and socioeconomic context. Assessing the latent relationship between land management practices and the biophysical/socioeconomic attributes characterizing areas exposed to different levels of desertification risk proved to be an indirect measure of the effectiveness of field actions contrasting land degradation. (C) 2016 Elsevier Ltd. All rights reserved. |
英文关键词 | Multivariate statistics Human pressure Indicators Response assemblage Mediterranean region |
类型 | Article |
语种 | 英语 |
国家 | Greece ; Tunisia ; Spain ; Morocco ; Turkey ; Netherlands ; England ; Italy |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000385900000034 |
WOS关键词 | SOIL-EROSION ; ABANDONMENT ; FOREST ; RISK ; DEGRADATION ; SYSTEMS ; SCIENCE ; EUROPE ; AREAS |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/194363 |
作者单位 | 1.Agr Univ Athens, GR-11855 Athens, Greece; 2.Inst Reg Arides, Medenine, Tunisia; 3.Estn Expt Zonas Aridas EEZA CSIC, Almeria, Spain; 4.Univ Mohammed 5, Chair UNESCO GN, Rabat, Morocco; 5.Eskisehir Osmangazi Univ, Eskisehir, Turkey; 6.Wageningen UR, Alterra, Wageningen, Netherlands; 7.Univ Plymouth, Dept Geog, Plymouth PL4 8AA, Devon, England; 8.Italian Council Agr Res & Econ CREA, Rome, Italy; 9.Univ Roma La Sapienza, Dept Social & Econ Sci, Rome, Italy; 10.Dept Agr & Forestry Sci DAFNE, Viterbo, Italy |
推荐引用方式 GB/T 7714 | Salvati, L.,Kosmas, C.,Kairis, O.,et al. Assessing the effectiveness of sustainable land management policies for combating desertification: A data mining approach[J],2016,183:754-762. |
APA | Salvati, L..,Kosmas, C..,Kairis, O..,Karavitis, C..,Acikalin, S..,...&Carlucci, M..(2016).Assessing the effectiveness of sustainable land management policies for combating desertification: A data mining approach.JOURNAL OF ENVIRONMENTAL MANAGEMENT,183,754-762. |
MLA | Salvati, L.,et al."Assessing the effectiveness of sustainable land management policies for combating desertification: A data mining approach".JOURNAL OF ENVIRONMENTAL MANAGEMENT 183(2016):754-762. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Assessing the effect(394KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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