Abstract

Land use changes have long been considered among many factors responsible for physical and chemical soil degradation. This study was conducted to evaluate land use and land cover (LULC) changes and their cumulative effects over 30 years (from 1989 to 2019) on the current physical and chemical properties of soils in the Tejibara watershed, Ethiopia. Image analysis and LULC classifications were performed using ERDAS IMAGINE 2014 and ArcGIS 10.4 software, respectively. For the determination of soil properties, four land use types (natural forest, eucalyptus plantation, cultivated, and grazing lands) and two soil depths (0–20 and 20–40 cm) were used. Triplicate composite soil samples were collected from each land use type and soil depths. For the determination of physical (texture and bulk density) and chemical soil properties such as electrical conductivity (EC), organic matter (OM), total nitrogen (TN), and available phosphorus (AP), standard laboratory procedures were employed. The image analysis results for all of the years studied show that cultivated lands have increased in area at the expense of forest and grazing lands. Silt content, clay content, AP, and pH were significantly affected by land use as the main effect while the interaction effects of soil depth and land use were significant for total N and OM only. The highest (10.1 mg/kg) and the lowest (4.9 mg/kg) AP contents were observed in the forest and the grazing lands, respectively. Soil total N content was highest in the forest lands (0.32%) and lowest in cultivated lands (0.06%). Concerning OM content, the highest (11.0%) and the lowest (0.8%) values were recorded in the forest and cultivated lands, respectively. Generally, this study showed that land use changes have reduced the areal coverage by forest and grazing lands and have negatively affected the soil properties. This implies that land use change without soil fertility measures that are appropriate to the area could cause enhanced land degradation and thereby reduce the productivity of the study area soils.

Highlights

  • In Ethiopia, increased population pressure and related food needs are the basic drivers for the conversion of natural forests to grasslands and cultivated lands [1]

  • Accuracy Assessment and Observed land use and land cover (LULC) Changes in the Study Watershed. e overall accuracy assessment and kappa coefficient of LULC classification were 90 and 87%, respectively (Table 3). is indicated the presence of strong agreement between the classified image and the reference data. e largest portion of the watershed is occupied by cultivated land while the smallest is covered by forest in the final year of analysis. e forest and grazing lands have been reduced by 7.7 and 17.8%, respectively, as compared with the base year

  • Land Use and Land Cover Dynamics. e LULC dynamics showed that the forest and grazing lands have been reducing consistently for the three decades due to the demand for cultivated lands and settlement by the ever-increasing population residing in the watershed

Read more

Summary

Introduction

In Ethiopia, increased population pressure and related food needs are the basic drivers for the conversion of natural forests to grasslands and cultivated lands [1]. Mainly the conversion of natural forests to agricultural lands and settlements, are the most widely practiced activities in Ethiopia [2]. Agricultural lands have been expanded at the expense of natural forests to meet the additional food demands for the increasing population [3]. Erosion is the major cause of the annual losses of over 1.5 billion tons of topsoil from the Ethiopian highlands, which could have added about 1.5 million tons of grains to the country’s harvest [6]. Erosion is the major cause of the annual losses of over 1.5 billion tons of topsoil from the Ethiopian highlands, which could have added about 1.5 million tons of grains to the country’s harvest [6]. e observed soil loss values have shown spatiotemporal variations and have ranged from the lowest 4.5 t. ha−1. yr−1 in the forest lands to the highest 65.9 t. ha−1. yr−1 in croplands [7]

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call