MARATTO

article · Discover Sustainability

Analyzing the extent and drivers of land use/land cover change in Southwestern Ethiopia

202412 citationsOpen accessBahir Dar University

Abstract

Understanding the extent of land use and land cover (LULC) change and its drivers is crucial for modelling future dynamics and management strategies that avert the decline of natural resources. This study investigates the extent and drivers of LULC changes from forest to agriculture in Southwestern Ethiopia between 1994 and 2021. Remote sensing data from multispectral Landsat imagery, including Landsat 5 (TM), Landsat 7 (ETM+), and Landsat 8/9 (OLI/TIRS), were used to detect and quantify LULC changes. Survey data was employed to identify the core and potential drivers influencing LULC change, utilizing the Driver-Pressure-State-Impact-Response (DPSIR) framework. Findings indicated that forest cover decreased from 40,110.2 ha in 1994 to 35,631.8 ha in 2003, 32,969.5 ha in 2015 and 28,763.0 ha in 2021. This accounts for about 28.3% decreases in the forest cover over the past 27 years. Survey result indicates that LULC change is triggered by the interplay of several drivers. These drivers are related to socioeconomic, environmental, policy and institutional, and technological factors. Specifically, high population growth, agricultural land expansion, settlements, livestock grazing, and clearing of tree for woodfuel were the primary drivers of LULC change as reported by the surveyed respondents. The findings underscore the urgent need for targeted interventions by policymakers, development practitioners, and industrial players in Southwestern Ethiopia to mitigate the ongoing deforestation and land degradation. These insights can inform sustainable land management strategies locally and globally, contributing to the broader scientific discourse on balancing development and natural resource conservation.

Research topics

  • Rangeland Management and Livestock Ecology
  • Land Use and Ecosystem Services
  • Conservation, Biodiversity, and Resource Management

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1007/s43621-024-00734-0

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.