학술논문
Spatial assessment of land degradation through key ecosystem services: The role of globally available data.
Document Type
Academic Journal
Author
Cerretelli S; The James Hutton Institute, Craigiebuckler, AB15 8QH Aberdeen, Scotland, United Kingdom; University of Udine, Department of Agricultural and Environmental Sciences, Via delle Scienze 206, 33100 Udine, Italy; University of Trieste, Department of Life Sciences, Via Weiss 2, 34128 Trieste, Italy. Electronic address: Stefania.Cerretelli@hutton.ac.uk.; Poggio L; The James Hutton Institute, Craigiebuckler, AB15 8QH Aberdeen, Scotland, United Kingdom. Electronic address: Laura.Poggio@hutton.ac.uk.; Gimona A; The James Hutton Institute, Craigiebuckler, AB15 8QH Aberdeen, Scotland, United Kingdom. Electronic address: Alessandro.Gimona@hutton.ac.uk.; Yakob G; Southern Agricultural Research Institute (SARI), P.O. Box 06, Hawassa, Ethiopia.; Boke S; Southern Agricultural Research Institute (SARI), P.O. Box 06, Hawassa, Ethiopia.; Habte M; Southern Agricultural Research Institute (SARI), P.O. Box 06, Hawassa, Ethiopia.; Coull M; The James Hutton Institute, Craigiebuckler, AB15 8QH Aberdeen, Scotland, United Kingdom. Electronic address: Malcolm.Coull@hutton.ac.uk.; Peressotti A; University of Udine, Department of Agricultural and Environmental Sciences, Via delle Scienze 206, 33100 Udine, Italy. Electronic address: alessandro.peressotti@uniud.it.; Black H; The James Hutton Institute, Craigiebuckler, AB15 8QH Aberdeen, Scotland, United Kingdom. Electronic address: Helaina.Black@hutton.ac.uk.
Source
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: PubMed not MEDLINE
Subject
Language
English
Abstract
Land degradation is a serious issue especially in dry and developing countries leading to ecosystem services (ESS) degradation due to soil functions' depletion. Reliably mapping land degradation spatial distribution is therefore important for policy decisions. The main objectives of this paper were to infer land degradation through ESS assessment and compare the modelling results obtained using different sets of data. We modelled important physical processes (sediment erosion and nutrient export) and the equivalent ecosystem services (sediment and nutrient retention) to infer land degradation in an area in the Ethiopian Great Rift Valley. To model soil erosion/retention capability, and nitrogen export/retention capability, two datasets were used: a 'global' dataset derived from existing global-coverage data and a hybrid dataset where global data were integrated with data from local surveys. The results showed that ESS assessments can be used to infer land degradation and identify priority areas for interventions. The comparison between the modelling results of the two different input datasets showed that caution is necessary if only global-coverage data are used at a local scale. In remote and data-poor areas, an approach that integrates global data with targeted local sampling campaigns might be a good compromise to use ecosystem services in decision-making.
(Copyright © 2018. Published by Elsevier B.V.)
(Copyright © 2018. Published by Elsevier B.V.)