Woody plant decline in the Sahel of western Niger (1996–2017):is it driven by climate or land use changes?
Research output: Contribution to journal › Journal article › Research › peer-review
Although a recovery of woody vegetation has been observed throughout the Sahel, western Niger has not followed the overall satellite-derived greening trend. While satellite imagery can be used to study overall patterns and trends, only field observations can provide insights in the dynamics of woody plant populations. Here we used field data from 29 sites in the Dantiandou district in Niger to study woody species composition, plant density, crown cover, basal area, foliage and wood mass from 1996 to 2017. All sites show a decrease in woody plant parameters with a faster decrease in rangeland than in agricultural land. Most of the decrease is due to the loss of shrubs, while trees do not change significantly. When field observations were scaled up to the district level using land use maps, shrub density decreased from 342 to 155 ha−1 in agricultural land, and from 1567 to 250 ha−1 in rangeland. Trends in annual rainfall and soil moisture during the study period were not significant and cannot explain the decrease of woody vegetation. Instead, the expansion of cropped areas, shortened crop-fallow cycles and increasing pressure on wood resources to satisfy demand for fuel and construction materials may have contributed to the decline.
| Original language | English |
|---|---|
| Article number | 104719 |
| Journal | Journal of Arid Environments |
| Volume | 200 |
| Number of pages | 12 |
| ISSN | 0140-1963 |
| DOIs | |
| Publication status | Published - May 2022 |
Bibliographical note
Funding Information:
The field work was first carried out under an ILRI ( International Livestock Research Institute , Nairobi, Kenya) research project, more recent observations were funded by the AMMA-CATCH observatory ( http://www.amma-catch.org ). Rainfall data AMMA-CATCH ( https://doi.org/10.17178/AMMA-CATCH.niger ) and CHIRPS ( https://data.chc.ucsb.edu/products/CHIRPS-2.0/ ) were provided by Guillaume Quantin, and Pierre Brender helped to retrieve the evapotranspiration and soil moisture data from the GLEAM V3 ( www.GLEAM.eu ). The data analyses were run using SAS/STAT software, Version 9.4 Copyright © 2018 SAS Institute Inc. SAS and all other SAS Institute Inc., Cary, NC, USA. MB was funded by a DFF Sapere Aude grant.
Funding Information:
The field work was first carried out under an ILRI (International Livestock Research Institute, Nairobi, Kenya) research project, more recent observations were funded by the AMMA-CATCH observatory (http://www.amma-catch.org). Rainfall data AMMA-CATCH (https://doi.org/10.17178/AMMA-CATCH.niger) and CHIRPS (https://data.chc.ucsb.edu/products/CHIRPS-2.0/) were provided by Guillaume Quantin, and Pierre Brender helped to retrieve the evapotranspiration and soil moisture data from the GLEAM V3 (www.GLEAM.eu). The data analyses were run using SAS/STAT software, Version 9.4 Copyright ? 2018 SAS Institute Inc. SAS and all other SAS Institute Inc. Cary, NC, USA. MB was funded by a DFF Sapere Aude grant.
Publisher Copyright:
© 2022 Elsevier Ltd
- Agrarian parkland, Dryland vegetation, Fallow, Field survey, Sahel regreening, Shrub
Research areas
ID: 303805858