Assessment of sustainable land use: linking land management practices to sustainable land use indicators. Issue 3 (4th May 2022)

• Record Type: Journal Article
• Authors: Nziguheba, Generose; Adewopo, Julius; Masso, Cargele; Nabahungu, Nsharwasi Leon; Six, Johan; Sseguya, Haroon; Taulya, Godfrey; Vanlauwe, Bernard
• Is Part Of: International journal of agricultural sustainability. Volume 20:Issue 3(2022)
• Page Start: 265
• Page End: 288
• Publication Date: 2022-05-04
• Subjects: Acidification -- erosion -- partial N balance -- crop productivity -- soil carbon -- sustainable land use index; Agriculture -- Environmental aspects -- Periodicals; Agricultural ecology -- Periodicals; 338.14
• DOI: 10.1080/14735903.2021.1926150
• Languages: English
• ISSNs: 1473-5903

Abstract

ABSTRACT: Land degradation threatens food production especially in smallholder farming systems predominant in sub-Saharan Africa. Monitoring the effects of agricultural land uses is critical to guide sustainable intensification (SI). There are various indicators of sustainable land use (SLU), but conventional methods to quantify their metrics are complex and difficult to deploy for rapid and large-scale assessments. Considering that SLU indicators are dependent on agricultural practices, which can be rapidly identified and quantified, we propose a framework for SLU assessment that includes indirect quantifications of prioritized indicators (crop productivity, soil organic carbon (SOC), acidification, erosion, nutrient balance) using agricultural practices; and a SLU index derived from the integration of these indicators. The application of the framework to a case study, consisting of 1319 farm plots in Tanzania, reveals that SOC and N balance were the main contributors to the SLU gap. Only 2.2% of the plots qualified as being used sustainably. The framework proved to be sensitive to practices commonly used by farmers, thus providing an opportunity to identify practices needed to revert land degradation. Further application of the framework as a decision-support tool can enhance the efficiency of SI investments, by targeting practices which effectively enhance food production and preserve land.