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Proxy global assessment of land degradation
Open accessAbstract
Abstract Land degradation is always with us 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 long‐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.
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In the citing paper
“Therefore, applying CM without vegetation covers may not fully prevent land degradation”
From Almond farm profitability under agroecological management in south-eastern Spain: Accounting for externalities and opportunity costs (2020) · cites this paper as Bai et al., 2008
Experimental — accuracy not yet measuredIn the citing paper
“Bai et al. (2008) also found that nearly one-fifth of this degraded land is cropland, an area equivalent to more than 20 percent of all cultivated areas.”
From Mapping the world's degraded lands (2015) · cites this paper as Bai et al. (2008)
In the citing paper
“Indeed, Wessels, Van Den Bergh, and Scholes (2012) commented on the Bai et al. (2008) publication of GLADA results, and was highly critical of their methods, especially in the humid tropics where results were described as fatally flawed and misleading.”
From Mapping the world's degraded lands (2015) · cites this paper as Bai et al. (2008)
In the citing paper
“But at the same time, they also found that 16 percent of global land area is increasing in NPP, with 20 percent of total cropland area on an upward swing.”
From Mapping the world's degraded lands (2015) · cites this paper as Bai et al. (2008)
In the citing paper
“Early GLADA results reveal a declining trend in NPP across 21 percent of the global land area, 2.7 billion ha, mainly in tropical Africa, Southeast Asia, China, north central Australia, the Pampas, and swaths of the boreal forest in Siberia and North America.”
From Mapping the world's degraded lands (2015) · cites this paper as Bai et al., 2008
In the citing paper
“Roughly 23 percent of forests are also improving along with more than 43 percent of rangelands.”
From Mapping the world's degraded lands (2015) · cites this paper as Bai et al., 2008
In the citing paper
“The vast majority (78 percent) of degrading lands are found in humid regions, which is contrary to the popular belief that most degradation occurs in drylands.”
From Mapping the world's degraded lands (2015) · cites this paper as Bai et al., 2008
In the citing paper
“Roughly 40 percent of the degraded lands were found to be in forests, with another quarter in rangelands.”
From Mapping the world's degraded lands (2015) · cites this paper as Bai et al., 2008
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Citations
Cites
Mitchell, T. D., & Jones, P. D. (2005) · International Journal of Climatology · doi:10.1002/joc.1181 · Cited by 3,820
Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
Nemani, R., Keeling, C. D., Hashimoto, H., Jolly, W. M., Piper, S. C., Tucker, C. J., Myneni, R. B., & Running, S. W. (2003) · Science · doi:10.1126/science.1082750 · Cited by 3,679
A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production
Running, S. W., Nemani, R., Heinsch, F. A., Zhao, M., Reeves, M. C., & Hashimoto, H. (2004) · BioScience · doi:10.1641/0006-3568(2004)054[0547:acsmog]2.0.co;2 · Cited by 2,560
Asrar, G., Fuchs, M., Kanemasu, E. T., & Hatfield, J. L. (1984) · Agronomy Journal · doi:10.2134/agronj1984.00021962007600020029x · Cited by 1,225
Estimation of global leaf area index and absorbed par using radiative transfer models
Myneni, R. B., Rajuru, R. R., Nemani, R., & Running, S. W. (1997) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.649788 · Cited by 1,010
Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003
Anyamba, A., & Tucker, C. J. (2005) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2005.03.007 · Cited by 785
A recent greening of the Sahel—trends, patterns and potential causes
Olsson, L., Eklundh, L., & Ardö, J. (2005) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2005.03.008 · Cited by 554
Self-citationRain use efficiency: a unifying concept in arid-land ecology
Houérou, H. N. L. (1984) · Journal of Arid Environments · doi:10.1016/s0140-1963(18)31362-4 · Cited by 546
Brown, M. E., Pinzón, J. E. D., Didan, K., Morisette, J. T., & Tucker, C. J. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.860205 · Cited by 367
World map of the status of human-induced soil degradation :
Ayoub, A., Oldeman, L. R., Hakkeling, R. T. A., & Sombroek, W. G. (1991) · Cited by 292
Research works printed but not linked: 4
- Bai Z.G., 2007, Land degradation and improvement in South Africa
- CIESIN, 2004, Global rural–urban mapping project: urban/rural extents
- JRC, 2003, Global Land Cover 2000 database
- Tucker C.J., 2004, Global Inventory Modeling and Mapping Studies (GIMMS) satellite drift corrected and NOAA‐16 incorporated normalised difference vegetation index (NDVI), monthly 1981–2002
Cited by
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Kogo, B. K., Kumar, L., & Koech, R. (2020) · Sustainability · doi:10.3390/su12229740 · Cited by 65
Assessment of land degradation ‘on the ground’ and from ‘above’
Kirui, O. K., Mirzabaev, A., & von Braun, J. (2021) · SN Applied Sciences · doi:10.1007/s42452-021-04314-z · Cited by 65
Huang, S., & Kong, J. (2016) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi5090158 · Cited by 65
Soil erosion assessment using RUSLE model in the Congo Nile Ridge region of Rwanda
Nyesheja, E. M., Chen, X., El-Tantawi, A. M., Karamage, F., Mupenzi, C., & Nsengiyumva, J. B. (2018) · Physical Geography · doi:10.1080/02723646.2018.1541706 · Cited by 66
Polidoro, J. C., de Freitas, P. L., Hernani, L. C., dos Anjos, L. H. C., Rodrigues, R. D. A. R., Cesário, F. V., de Andrade, A. G., & Ribeiro, J. L. (2021) · Land Degradation and Development · doi:10.1002/ldr.3876 · Cited by 63
Kim, D., Grieco, E., Bombelli, A., Hickman, J. E., & Sanz-Cobeña, A. (2021) · Food Security · doi:10.1007/s12571-021-01149-9 · Cited by 63
Lee, C. K. F., Duncan, C., Nicholson, E., Fatoyinbo, T., Lagomasino, D., Thomas, N. M., Worthington, T. A., & Murray, N. (2021) · Remote Sensing · doi:10.3390/rs13112047 · Cited by 73
A remote sensing protocol for identifying rangelands with degraded productive capacity
Reeves, M. C., & Baggett, L. S. (2014) · Ecological Indicators · doi:10.1016/j.ecolind.2014.02.009 · Cited by 62
Enhancing agroecosystem productivity with woody perennials in semi-arid West Africa. A meta-analysis
Félix, G. F., Scholberg, J. M. S., Clermont‐Dauphin, C., Cournac, L., & Tittonell, P. A. (2018) · Agronomy for Sustainable Development · doi:10.1007/s13593-018-0533-3 · Cited by 62
Global land degradation hotspots based on multiple methods and indicators
Jiang, K., Teuling, A. J., Chen, X., Huang, N., Wang, J., Zhang, Z., Gao, R., Men, J., Zhang, Z., Wu, Y., et al. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.111462 · Cited by 65
Smit, H. H., Meijaard, E., van der Laan, C., Mantel, S., Budiman, A., & Verweij, P. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068610 · Cited by 61
Delaquis, E., de Haan, S., & Wyckhuys, K. A. G. (2017) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2017.09.037 · Cited by 67
Reith, J., Ghazaryan, G., Muthoni, F., & Dubovyk, O. (2021) · Remote Sensing · doi:10.3390/rs13091754 · Cited by 61
Zhou, Y., Yue, D., Guo, J., Chen, G., & Wang, D. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.108067 · Cited by 60
He, N., Yong, Z., Wang, L., Li, Q., Zuo, Q., Liu, J., & Li, M. (2022) · Ecological Indicators · doi:10.1016/j.ecolind.2022.109619 · Cited by 60
Lal, R. (2019) · Journal of Soil and Water Conservation · doi:10.2489/jswc.74.3.55a · Cited by 60
Population trends and desertification risk in a Mediterranean region, 1861-2017
Benassi, F., Cividino, S. R. S., Cudlín, P., Alhuseen, A., Lamonica, G. R., & Salvati, L. (2020) · Land Use Policy · doi:10.1016/j.landusepol.2020.104626 · Cited by 60
The potential of agricultural land management to contribute to lower global surface temperatures
Mayer, A., Hausfather, Z., Jones, A. D., & Silver, W. L. (2018) · Science Advances · doi:10.1126/sciadv.aaq0932 · Cited by 59
Debt, Poverty and Resource Management in a Rural Smallholder Economy
Barbier, E. B., López, R., & Hochard, J. (2015) · Environmental and Resource Economics · doi:10.1007/s10640-015-9890-4 · Cited by 59
Land Degradation, Poverty and Marginality
Gerber, N., Nkonya, E. M., & von Braun, J. (2013) · Springer eBooks · doi:10.1007/978-94-007-7061-4_12 · Cited by 58
Xu, G., Huang, X., Zhong, T., Chen, Y., Wu, C., & Jin, Y. (2015) · Habitat International · doi:10.1016/j.habitatint.2015.06.017 · Cited by 58
Economics of sustainable land management
Mirzabaev, A., Nkonya, E. M., & von Braun, J. (2015) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2015.07.004 · Cited by 58
Towards decadal soil salinity mapping using Landsat time series data
Fan, X., Weng, Y., & Tao, J. (2016) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2016.05.009 · Cited by 58
Kundu, A., Patel, N. R., Saha, S. K., & Dutta, D. (2016) · Natural Hazards · doi:10.1007/s11069-016-2689-y · Cited by 58
Qazi, N. Q., Bruijnzeel, L. A., Rai, S. P., & Ghimire, C. P. (2017) · Hydrological Sciences Journal · doi:10.1080/02626667.2017.1308637 · Cited by 60
Pressures on soil functions from soil management in Germany. A foresight review
Techen, A., & Helming, K. (2017) · Agronomy for Sustainable Development · doi:10.1007/s13593-017-0473-3 · Cited by 59
van der Meij, W. M., Temme, A. J. A. M., Wallinga, J., & Sommer, M. (2020) · SOIL · doi:10.5194/soil-6-337-2020 · Cited by 56
Assessment of land degradation in the North China Plain driven by food security goals
Yu, Z., & Deng, X. (2022) · Ecological Engineering · doi:10.1016/j.ecoleng.2022.106766 · Cited by 57
Soil Microbiome: A Treasure Trove for Soil Health Sustainability under Changing Climate
Shah, A. M., Khan, I. M., Shah, T. I., Bangroo, S. A., Kirmani, N. A., Nazir, S., Malik, A. R., Aezum, A. M., Mir, Y. H., Hilal, A., et al. (2022) · Land · doi:10.3390/land11111887 · Cited by 56
The Impact of Flooding on Soil Microbial Communities and Their Functions: A Review
Das, A. K., Lee, D., Woo, Y.-J., Sultana, S., Mahmud, A., & Yun, B. (2025) · Stresses · doi:10.3390/stresses5020030 · Cited by 56
Early Identification of Land Degradation Hotspots in Complex Bio-Geographic Regions
Lanfredi, M., Coppola, R., SIMONIELLO, T., Coluzzi, R., D’Emilio, M., Imbrenda, V., & Macchiato, M. F. (2015) · Remote Sensing · doi:10.3390/rs70608154 · Cited by 56
Ivits, É., Cherlet, M., Sommer, S., & Mehl, W. (2012) · Ecological Indicators · doi:10.1016/j.ecolind.2012.10.012 · Cited by 56
Mapping and analysing cropland use intensity from a NPP perspective
Niedertscheider, M., Kästner, T., Fetzel, T., Haberl, H., Kroisleitner, C., Plutzar, C., & Erb, K. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/1/014008 · Cited by 58
Hermans, K., Priess, J. A., & Herold, M. (2017) · Regional Environmental Change · doi:10.1007/s10113-017-1108-6 · Cited by 56
Silva, L. C. R., Doane, T. A., Corrêa, R. S., Valverde, V., Pereira, E. I. P., & Horwáth, W. R. (2014) · Ecological Applications · doi:10.1890/14-2151.1 · Cited by 55
Lewińska, K. E., Hostert, P., Buchner, J., Bleyhl, B., & Radeloff, V. C. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111969 · Cited by 54
Analysis of Climate and Land Use Changes Impacts on Land Degradation in the North China Plain
Li, Z., Deng, X., Yin, F., & Yang, C. (2015) · Advances in Meteorology · doi:10.1155/2015/976370 · Cited by 54
Gichenje, H., & Godinho, S. (2018) · Land Degradation and Development · doi:10.1002/ldr.3067 · Cited by 55
Horion, S., Ivits, É., Keersmaecker, W. D., Tagesson, T., Vogt, J., & Fensholt, R. (2019) · Land Degradation and Development · doi:10.1002/ldr.3282 · Cited by 55
Remote sensing of vegetation dynamics in West Africa
Knauer, K., Geßner, U., Dech, S. W., & Kuenzer, C. (2014) · International Journal of Remote Sensing · doi:10.1080/01431161.2014.954062 · Cited by 53
Organic amendments for soil restoration in arid and semiarid areas: a review
García, C. P., Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), C. U. D. E., Hernández, T., Coll, M. D., & Ondoño, S. (2017) · AIMS environmental science · doi:10.3934/environsci.2017.4.640 · Cited by 53
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Sarmah, S., Jia, G., & Zhang, A. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aaa866 · Cited by 54
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Easdale, M. H., Fariña, C., Hara, S., León, N. P., Umaña, F. J., Tittonell, P. A., & Bruzzone, O. A. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2019.105545 · Cited by 53
De Leijster, V., Verburg, R. W., Santos, M. J., Wassen, M. J., Martínez-Mena, M., de Vente, J., & Verweij, P. A. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2020.102878 · Cited by 52
Change, I. P. O. C. (2022) · Cambridge University Press eBooks · doi:10.1017/9781009157988.005 · Cited by 65
Graw, V., Ghazaryan, G., Dall, K., Gómez, A. D., Abdel-Hamid, A., Jordaan, A. J., Piroska, R., Post, J., Szarzynski, J., Walz, Y., et al. (2017) · Sustainability · doi:10.3390/su9101728 · Cited by 52
Vågen, T., & Winowiecki, L. A. (2019) · Remote Sensing · doi:10.3390/rs11151800 · Cited by 51
Tiemann, T. T., & Douxchamps, S. (2023) · World Development Sustainability · doi:10.1016/j.wds.2023.100080 · Cited by 51
Helman, D., Mor‐Mussery, A., Lensky, I. M., & Leu, S. (2014) · Soil Use and Management · doi:10.1111/sum.12099 · Cited by 51
Sattler, D., Murray, L. T., Kirchner, A., & Lindner, A. (2014) · Ecological Engineering · doi:10.1016/j.ecoleng.2014.09.003 · Cited by 51
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Tolche, A. D., Gurara, M. A., Pham, Q. B., & Anh, D. T. (2021) · Geocarto International · doi:10.1080/10106049.2021.1959656 · Cited by 51
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de Jong, R., & de Bruin, S. (2012) · Biogeosciences · doi:10.5194/bg-9-71-2012 · Cited by 50
Brown, B., Nuberg, I., & Llewellyn, R. S. (2018) · Land Use Policy · doi:10.1016/j.landusepol.2018.02.009 · Cited by 53
Sun, B., Li, Z., WenTao, G., Zhang, Y., Gao, Z., Song, Z., Qin, P., & Tian, X. L. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2019.105614 · Cited by 50
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Matano, A.-S., Kanangire, C. K., Anyona, D. N., Abuom, P. O., Gelder, F. B., Dida, G. O., Owuor, P. O., & Ofulla, A. V. O. (2015) · Open Journal of Soil Science · doi:10.4236/ojss.2015.51003 · Cited by 50
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Guevara-González, R. G., & Torres‐Pacheco, I. (2014) · Springer eBooks · doi:10.1007/978-3-319-03880-3 · Cited by 50
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Fa, J. E., Funk, S. M., & Nasi, R. (2022) · Cambridge University Press eBooks · doi:10.1017/9781316338704 · Cited by 56
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Gomiero, T. (2017) · Applied Soil Ecology · doi:10.1016/j.apsoil.2017.09.028 · Cited by 48
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Burrell, A. L., Evans, J. P., & Liu, Y. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.08.017 · Cited by 49
Baniya, B., Tang, Q., POKHREL, Y. N., & Xu, X. (2019) · Environmental Development · doi:10.1016/j.envdev.2019.100464 · Cited by 49
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Constenla-Villoslada, S., Liu, Y., Wen, J., Sun, Y., & Chonabayashi, S. (2022) · Nature Sustainability · doi:10.1038/s41893-022-00861-4 · Cited by 47
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Dameneh, H. E., Borji, M., Khosravi, H., & Salajeghe, A. (2016) · Solid Earth · doi:10.5194/se-7-905-2016 · Cited by 47
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D’Odorico, P., Rosa, L., Bhattachan, A., & Okin, G. S. (2019) · Springer eBooks · doi:10.1007/978-3-030-23269-6_21 · Cited by 49
Lopes, I. G., Braos, L. B., da Cruz, M. C. P., & Vidotti, R. M. (2020) · Aquaculture · doi:10.1016/j.aquaculture.2020.735859 · Cited by 47
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Janowiak, M. K., Connelly, W. J., Dante-Wood, K., Domke, G. M., Giardina, C. P., Kayler, Z. E., Marcinkowski, K., Ontl, T., Rodriguez-Franco, C., Swanston, C. W., et al. (2017) · doi:10.2737/wo-gtr-95 · Cited by 53
Kgaphola, M. J., Ramoelo, A., Odindi, J., Kahinda, J. M., Seetal, A. R., & Musvoto, C. (2023) · Environmental Monitoring and Assessment · doi:10.1007/s10661-023-11104-0 · Cited by 46
Pedrini, S., Lewandrowski, W., Stevens, J. C., & Dixon, K. W. (2018) · Plant Biology · doi:10.1111/plb.12885 · Cited by 46
Trends in Woody and Herbaceous Vegetation in the Savannas of West Africa
Anchang, J. Y., Prihodko, L., Tchuenté, A. T. K., Ross, C. W., Ji, W., Kumar, S. S., Lind, B. M., Sarr, M. A., Diouf, A. A., & Hanan, N. P. (2019) · Remote Sensing · doi:10.3390/rs11050576 · Cited by 46
Xue, S., Ma, B., Wang, C., & Li, Z. (2023) · Ecological Modelling · doi:10.1016/j.ecolmodel.2023.110457 · Cited by 45
Stavi, I. (2013) · International Journal of Sustainable Development & World Ecology · doi:10.1080/13504509.2013.773466 · Cited by 46
Fokeng, R. M., & Fogwe, Z. N. (2022) · Geosystems and Geoenvironment · doi:10.1016/j.geogeo.2022.100075 · Cited by 45
An Artificial Neural Network Approach for Predicting Soil Carbon Budget in Agroecosystems
Álvarez, R., Steinbach, H. S., & Bono, A. (2011) · Soil Science Society of America Journal · doi:10.2136/sssaj2009.0427 · Cited by 45
Yan, Z., Guo, Y., Sun, B., Gao, Z., Qin, P., Li, Y., Yue, W., & Cui, H. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.120254 · Cited by 48
Landmann, T., & Dubovyk, O. (2014) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2014.04.020 · Cited by 44
Monitoring environmental change and degradation in the irrigated oases of the Northern Sahara
King, C., & Thomas, D. S. G. (2014) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2013.12.009 · Cited by 44
Nowak, A., & Schneider, C. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.03.006 · Cited by 44
Christian, B., Dhinwa, P. S., & Ajai (2018) · Applied Geography · doi:10.1016/j.apgeog.2018.04.010 · Cited by 44
Yu, H., Yin, D., Zhang, J., Yu, P., & Chen, F. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137559 · Cited by 43
Saha, M. V., Scanlon, T. M., & D’Odorico, P. (2015) · Ecosphere · doi:10.1890/es15-00098.1 · Cited by 43
Spatiotemporal variability in carbon exchange fluxes across the Sahel
Tagesson, T., Fensholt, R., Cappelaere, B., Mougin, É., Horion, S., Kergoat, L., Nieto, H., Mbow, C., Ehammer, A., Demarty, J., et al. (2016) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2016.05.013 · Cited by 43
Climate Strategic Soil Management
Lal, R. (2014) · Challenges · doi:10.3390/challe5010043 · Cited by 42
Faour, G., Mhawej, M., & Fayad, A. (2016) · Cybergeo · doi:10.4000/cybergeo.27620 · Cited by 42
Zewdie, W., & Csaplovics, E. (2016) · Remote Sensing · doi:10.3390/rs8050408 · Cited by 42
Tian, L., Xu, G., Fan, C., Zhang, Y., Gu, C., & Zhang, Y. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16010114 · Cited by 42
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Metadata
- Authors
- Bai, Z. G., Dent, D. L., Olsson, L., & Schaepman, M. E.
- Affiliations
- ISRIC - World Soil Information (NL)
- Lund University (SE)
- Wageningen University & Research (NL)
- Corresponding author
- Dent, D. L.
- Venue
- Soil Use and Management
- Publisher
- Wiley
- Published
- 2008-08-22
- Volume
- 24
- Issue
- 3
- Pages
- 223-234
- ISSN
- 0266-0032 (ISSN-L)
- 1475-2743
- OpenAlex
- W2162414982
- Cited by
- 987
- References
- 28
- Citations by year
- 2026: 34 · 2025: 42 · 2024: 56 · 2023: 68 · 2022: 72 · 2021: 81 · 2020: 87 · 2019: 88 · 2018: 63 · 2017: 55 · 2016: 63 · 2015: 63 · 2014: 64 · 2013: 51 · 2012: 36
- FWCI
- 17.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Soil Use and Management (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil erosion and sediment transport
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Keywords
- land degradation, NDVI, precipitation use efficiency, net primary productivity, GIMMS, remote sensing, rainfall effects on vegetation
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