Towards SDG 15.3: The biome context as the appropriate degradation monitoring dimension
- Xoxo, Sinetemba, Mantel, Sukhmani K, de Vos, Alta, Mahlaba, Bawinile, le Maître, David, Tanner, Jane L
- Authors: Xoxo, Sinetemba , Mantel, Sukhmani K , de Vos, Alta , Mahlaba, Bawinile , le Maître, David , Tanner, Jane L
- Date: 2022
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/415961 , vital:71304 , xlink:href="https://doi.org/10.1016/j.envsci.2022.07.008"
- Description: Accurate and reliable estimation of terrestrial ecosystem degradation is critical to meeting the challenge of reversing land degradation. Remote sensing data (especially land productivity dynamics) is commonly used to estimate land degradation, and this study uses the TRENDS.EARTH toolbox for the period covering 2000–2018, demonstrating the benefit of tracking the degradation process (SDG 15.3.1) at a biophysical unit. Contributing to the country’s SDG 15.3.1 monitoring, anthropogenic degradation was estimated based on RESTREND land productivity, biome-specific land cover trends, and soil organic carbon (SOC) stocks. Underlying degradation was evaluated by reclassifying a 28-year national land cover change dataset to match the UNCCD land cover legend. Analysis results indicate that land productivity changes (especially in stable grasslands, afforested, and cropland areas) mainly influenced the degradation status of the biome (19.9% degraded and 25.6% improvement). Global datasets also suggest that land cover and SOC had a minimal contribution (more than 2%) to anthropogenic degradation dynamics in the biome between 2000 and 2018. The GIS analysis showed that long-term, the major contributors to the biome’s underlying 9% anthropogenic degradation were woody proliferation into the Grassland Biome, urban expansion, and wetland drainage.
- Full Text:
- Date Issued: 2022
- Authors: Xoxo, Sinetemba , Mantel, Sukhmani K , de Vos, Alta , Mahlaba, Bawinile , le Maître, David , Tanner, Jane L
- Date: 2022
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/415961 , vital:71304 , xlink:href="https://doi.org/10.1016/j.envsci.2022.07.008"
- Description: Accurate and reliable estimation of terrestrial ecosystem degradation is critical to meeting the challenge of reversing land degradation. Remote sensing data (especially land productivity dynamics) is commonly used to estimate land degradation, and this study uses the TRENDS.EARTH toolbox for the period covering 2000–2018, demonstrating the benefit of tracking the degradation process (SDG 15.3.1) at a biophysical unit. Contributing to the country’s SDG 15.3.1 monitoring, anthropogenic degradation was estimated based on RESTREND land productivity, biome-specific land cover trends, and soil organic carbon (SOC) stocks. Underlying degradation was evaluated by reclassifying a 28-year national land cover change dataset to match the UNCCD land cover legend. Analysis results indicate that land productivity changes (especially in stable grasslands, afforested, and cropland areas) mainly influenced the degradation status of the biome (19.9% degraded and 25.6% improvement). Global datasets also suggest that land cover and SOC had a minimal contribution (more than 2%) to anthropogenic degradation dynamics in the biome between 2000 and 2018. The GIS analysis showed that long-term, the major contributors to the biome’s underlying 9% anthropogenic degradation were woody proliferation into the Grassland Biome, urban expansion, and wetland drainage.
- Full Text:
- Date Issued: 2022
The Role of Ecological Infrastructure (EI) in Mitigating the Impacts of Droughts
- Mantel, Sukhmani K, Xoxo, Sinetemba, Mahlaba, Bawinile, Tanner, Jane L, Le Maître, David
- Authors: Mantel, Sukhmani K , Xoxo, Sinetemba , Mahlaba, Bawinile , Tanner, Jane L , Le Maître, David
- Date: 2021
- Subjects: To be catalogued
- Language: English
- Type: text , report
- Identifier: http://hdl.handle.net/10962/438209 , vital:73443 , ISBN 978-0-6392-0304-1 , https://wrcwebsite.azurewebsites.net/wp-content/uploads/mdocs/2928_web.pdf
- Description: To explain how well-managed ecological infrastructure can help to miti-gate the impacts of droughts on human livelihoods and well-being and to propose strategic responses that will maintain and enhance the value of this service that people will embrace and implement.
- Full Text:
- Date Issued: 2021
- Authors: Mantel, Sukhmani K , Xoxo, Sinetemba , Mahlaba, Bawinile , Tanner, Jane L , Le Maître, David
- Date: 2021
- Subjects: To be catalogued
- Language: English
- Type: text , report
- Identifier: http://hdl.handle.net/10962/438209 , vital:73443 , ISBN 978-0-6392-0304-1 , https://wrcwebsite.azurewebsites.net/wp-content/uploads/mdocs/2928_web.pdf
- Description: To explain how well-managed ecological infrastructure can help to miti-gate the impacts of droughts on human livelihoods and well-being and to propose strategic responses that will maintain and enhance the value of this service that people will embrace and implement.
- Full Text:
- Date Issued: 2021
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