Proxy global assessment of land degradation

Land degradation is always With Lis but its causes, extent and severity are contested. We define land degradation as a long-term decline in ecosystem function and productivity, Which may be assessed using lone-term, remotely sensed normalized difference vegetation index (NDVI) data. Deviation from t...

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Published in:Soil Use and Management
Main Authors: Bai, Z. G., Dent, D. L., Olsson, Lennart, Schaepman, M. E.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley-Blackwell 2008
Subjects:
Online Access:https://lup.lub.lu.se/record/1246043
https://doi.org/10.1111/j.1475-2743.2008.00169.x
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spelling ftulundlup:oai:lup.lub.lu.se:d02a2e49-51a8-4bed-a9f1-2c32398baf54 2023-05-15T18:30:52+02:00 Proxy global assessment of land degradation Bai, Z. G. Dent, D. L. Olsson, Lennart Schaepman, M. E. 2008 https://lup.lub.lu.se/record/1246043 https://doi.org/10.1111/j.1475-2743.2008.00169.x eng eng Wiley-Blackwell https://lup.lub.lu.se/record/1246043 http://dx.doi.org/10.1111/j.1475-2743.2008.00169.x wos:000259301100001 scopus:50249131992 Soil Use and Management; 24(3), pp 223-234 (2008) ISSN: 0266-0032 Social Sciences Interdisciplinary productivity net primary land degradation normalized difference vegetation index rain-use efficiency global relationships contributiontojournal/systematicreview info:eu-repo/semantics/article text 2008 ftulundlup https://doi.org/10.1111/j.1475-2743.2008.00169.x 2023-02-01T23:32:41Z Land degradation is always With Lis but its causes, extent and severity are contested. We define land degradation as a long-term decline in ecosystem function and productivity, Which may be assessed using lone-term, remotely sensed normalized difference vegetation index (NDVI) data. Deviation from the norm may serve as a proxy assessment of land degradation and improvement - if other factors that may be responsible are taken into account. These other factors include rainfall effects which may be assessed by rain-use efficiency, calculated from NDVI and rainfall. Results from the analysis of the 23-year Global Inventory Modeling and Mapping Studies (GIMMS) NDVI data indicate declining rain-use efficiency-adjusted NDVI on ca. 24% of the global land area with degrading areas mainly in Africa south of the equator, South-East Asia and south China, north-central Australia, the Pampas and swaths of the Siberian and north American taiga; 1.5 billion people live in these areas. The results are very different from previous assessments which compounded what is happening now with historical land degradation. Economic appraisal can be undertaken when land degradation is expressed in terms of net primary productivity and the resultant data allow statistical comparison With other variables to reveal possible drivers. Article in Journal/Newspaper taiga Lund University Publications (LUP) Lone ENVELOPE(11.982,11.982,65.105,65.105) Soil Use and Management 24 3 223 234
institution Open Polar
collection Lund University Publications (LUP)
op_collection_id ftulundlup
language English
topic Social Sciences Interdisciplinary
productivity
net primary
land degradation
normalized difference vegetation index
rain-use efficiency
global relationships
spellingShingle Social Sciences Interdisciplinary
productivity
net primary
land degradation
normalized difference vegetation index
rain-use efficiency
global relationships
Bai, Z. G.
Dent, D. L.
Olsson, Lennart
Schaepman, M. E.
Proxy global assessment of land degradation
topic_facet Social Sciences Interdisciplinary
productivity
net primary
land degradation
normalized difference vegetation index
rain-use efficiency
global relationships
description Land degradation is always With Lis but its causes, extent and severity are contested. We define land degradation as a long-term decline in ecosystem function and productivity, Which may be assessed using lone-term, remotely sensed normalized difference vegetation index (NDVI) data. Deviation from the norm may serve as a proxy assessment of land degradation and improvement - if other factors that may be responsible are taken into account. These other factors include rainfall effects which may be assessed by rain-use efficiency, calculated from NDVI and rainfall. Results from the analysis of the 23-year Global Inventory Modeling and Mapping Studies (GIMMS) NDVI data indicate declining rain-use efficiency-adjusted NDVI on ca. 24% of the global land area with degrading areas mainly in Africa south of the equator, South-East Asia and south China, north-central Australia, the Pampas and swaths of the Siberian and north American taiga; 1.5 billion people live in these areas. The results are very different from previous assessments which compounded what is happening now with historical land degradation. Economic appraisal can be undertaken when land degradation is expressed in terms of net primary productivity and the resultant data allow statistical comparison With other variables to reveal possible drivers.
format Article in Journal/Newspaper
author Bai, Z. G.
Dent, D. L.
Olsson, Lennart
Schaepman, M. E.
author_facet Bai, Z. G.
Dent, D. L.
Olsson, Lennart
Schaepman, M. E.
author_sort Bai, Z. G.
title Proxy global assessment of land degradation
title_short Proxy global assessment of land degradation
title_full Proxy global assessment of land degradation
title_fullStr Proxy global assessment of land degradation
title_full_unstemmed Proxy global assessment of land degradation
title_sort proxy global assessment of land degradation
publisher Wiley-Blackwell
publishDate 2008
url https://lup.lub.lu.se/record/1246043
https://doi.org/10.1111/j.1475-2743.2008.00169.x
long_lat ENVELOPE(11.982,11.982,65.105,65.105)
geographic Lone
geographic_facet Lone
genre taiga
genre_facet taiga
op_source Soil Use and Management; 24(3), pp 223-234 (2008)
ISSN: 0266-0032
op_relation https://lup.lub.lu.se/record/1246043
http://dx.doi.org/10.1111/j.1475-2743.2008.00169.x
wos:000259301100001
scopus:50249131992
op_doi https://doi.org/10.1111/j.1475-2743.2008.00169.x
container_title Soil Use and Management
container_volume 24
container_issue 3
container_start_page 223
op_container_end_page 234
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