Disentangling climate and human drivers of land degradation in East and Southern Africa
Timely monitoring of land degradation (LD) is essential to guide targeting the sustainable land management (SLM) practices to the suitable context that assists in achieving an LD neutral world. This study applied a 40-year time series of remote sensing data representing vegetation indices and rainfa...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Acceso en línea: | https://hdl.handle.net/10568/174374 |
| _version_ | 1855530376512929792 |
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| author | Muthoni, F.K. Manda, J. Dubovky, O. |
| author_browse | Dubovky, O. Manda, J. Muthoni, F.K. |
| author_facet | Muthoni, F.K. Manda, J. Dubovky, O. |
| author_sort | Muthoni, F.K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Timely monitoring of land degradation (LD) is essential to guide targeting the sustainable land management (SLM) practices to the suitable context that assists in achieving an LD neutral world. This study applied a 40-year time series of remote sensing data representing vegetation indices and rainfall to identify the hotspots for the climatic and human-induced LD or improvements in the East and Southern Africa (ESA) region. This was complemented by a field assessment of LD and SLM practices applied by farmers in Tanzania. Remote sensing analysis at the regional scale identified hotspots in the ESA region that experienced statistically significant LD and improvement trends primarily driven by human and climatic factors during two temporal segments from 1983 to 2005 (T1) and 2006–2022 (T2). The Normalized Difference Vegetation Index (NDVI) trends exhibited a browning-to-greening trend reversal between T1 and T2 in northern Zambia and Tanzania, contrasting with persistent browning in Central Malawi and southern Zambia. At the local scale, severe LD in Kongwa district of Tanzania was primarily caused by erosion by water, wind, and unsustainable exploitation of natural vegetation, although their magnitude varied over different landscape gradients. These collaborated with the remotely sensed browning trend observed in the Kongwa district, but the greening plots were largely smoothened out by coarse-resolution NDVI data. The regional scale identification of factors driving the greening or browning trends provides a first-instance evidence-based sampling frame for future studies to identify the actual practices applied in the greening zone that can be used to rehabilitate the degraded land. |
| format | Journal Article |
| id | CGSpace174374 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1743742025-11-11T10:34:37Z Disentangling climate and human drivers of land degradation in East and Southern Africa Muthoni, F.K. Manda, J. Dubovky, O. climate browning land degradation crops yields Timely monitoring of land degradation (LD) is essential to guide targeting the sustainable land management (SLM) practices to the suitable context that assists in achieving an LD neutral world. This study applied a 40-year time series of remote sensing data representing vegetation indices and rainfall to identify the hotspots for the climatic and human-induced LD or improvements in the East and Southern Africa (ESA) region. This was complemented by a field assessment of LD and SLM practices applied by farmers in Tanzania. Remote sensing analysis at the regional scale identified hotspots in the ESA region that experienced statistically significant LD and improvement trends primarily driven by human and climatic factors during two temporal segments from 1983 to 2005 (T1) and 2006–2022 (T2). The Normalized Difference Vegetation Index (NDVI) trends exhibited a browning-to-greening trend reversal between T1 and T2 in northern Zambia and Tanzania, contrasting with persistent browning in Central Malawi and southern Zambia. At the local scale, severe LD in Kongwa district of Tanzania was primarily caused by erosion by water, wind, and unsustainable exploitation of natural vegetation, although their magnitude varied over different landscape gradients. These collaborated with the remotely sensed browning trend observed in the Kongwa district, but the greening plots were largely smoothened out by coarse-resolution NDVI data. The regional scale identification of factors driving the greening or browning trends provides a first-instance evidence-based sampling frame for future studies to identify the actual practices applied in the greening zone that can be used to rehabilitate the degraded land. 2025-07-15 2025-04-29T11:37:16Z 2025-04-29T11:37:16Z Journal Article https://hdl.handle.net/10568/174374 en Limited Access application/pdf Muthoni, F. K., Manda, J. & Dubovky, O. (2025). Disentangling climate and human drivers of land degradation in East and Southern Africa. Land Degradation & Development, 1— 16. |
| spellingShingle | climate browning land degradation crops yields Muthoni, F.K. Manda, J. Dubovky, O. Disentangling climate and human drivers of land degradation in East and Southern Africa |
| title | Disentangling climate and human drivers of land degradation in East and Southern Africa |
| title_full | Disentangling climate and human drivers of land degradation in East and Southern Africa |
| title_fullStr | Disentangling climate and human drivers of land degradation in East and Southern Africa |
| title_full_unstemmed | Disentangling climate and human drivers of land degradation in East and Southern Africa |
| title_short | Disentangling climate and human drivers of land degradation in East and Southern Africa |
| title_sort | disentangling climate and human drivers of land degradation in east and southern africa |
| topic | climate browning land degradation crops yields |
| url | https://hdl.handle.net/10568/174374 |
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