scholarly journals Land Degradation of the Mau Forest Complex in Eastern Africa: A Review for Management and Restoration Planning

10.5772/28532 ◽  
2011 ◽  
Author(s):  
Luke Omondi ◽  
Peter Musula
Keyword(s):  
Land Degradation ◽  
Eastern Africa ◽  
Restoration Planning

Identifying ecosystem service hotspots for targeting land degradation neutrality investments in south-eastern Africa

2018 ◽  
Vol 159 ◽  
pp. 75-86 ◽  
Author(s):  
Louise Willemen ◽  
Neville D. Crossman ◽  
Simone Quatrini ◽  
Benis Egoh ◽  
Felix K. Kalaba ◽  
...  
Keyword(s):  
Land Degradation ◽  
Ecosystem Service ◽  
Eastern Africa ◽  
South Eastern

scholarly journals Assessment of land degradation ‘on the ground’ and from ‘above’

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Oliver K. Kirui ◽  
Alisher Mirzabaev ◽  
Joachim von Braun
Keyword(s):  
Remote Sensing ◽  
Land Degradation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Hot Spot ◽  
Ground Level ◽  
Eastern Africa ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Ground Truthing

AbstractAssessments of land degradation vary in methodology and outcome. The objective of this study is to identify the state, extent and patterns of land degradation in Eastern Africa (Ethiopia, Kenya, Malawi and Tanzania). More recently (2000s), satellite-based imagery and remote sensing have been utilized to identify the magnitude and processes of land degradation at global, regional and national levels. This involves the use of Normalized Difference Vegetation Index (NDVI) derived from Advanced Very High Resolution Radiometer data and the use of high-quality satellite data from Moderate Resolution Imaging Spectroradiometer. This study is the first in Eastern Africa to complement remote sensing with ground-level assessments in evaluating the extent of land degradation at national and regional scales. The results based on NDVI measures show that land degradation occurred in about 51%, 41%, 23% and 22% of the terrestrial areas in Tanzania, Malawi, Ethiopia and Kenya, respectively, between the 1982 and 2016 periods. Some of the key hot spot areas include west and southern regions of Ethiopia, western part of Kenya, southern parts of Tanzania and eastern parts of Malawi. To evaluate the accuracy of the NDVI observations, ground-truthing was carried out in Tanzania and Ethiopia through focus group discussions (FGDs). The FGDs indicate an agreement with remotely sensed information on land degradation in seven sites out of eight in Tanzania and five sites out of six in Ethiopia. Given the significant magnitude of land degradation, appropriate action is needed to address it.

scholarly journals Drivers of Sustainable Land Management in Eastern Africa

2017 ◽  
Author(s):  
Oliver Kirui
Keyword(s):  
Land Management ◽  
Land Tenure ◽  
Land Degradation ◽  
Market Access ◽  
Rural Livelihoods ◽  
Eastern Africa ◽  
Sustainable Land Management ◽  
Extension Services ◽  
Economic Determinants ◽  
Nationally Representative

Land degradation is a serious impediment to improving rural livelihoods in Eastern Africa. This paper identifies major land degradation patterns and causes, and analyzes the determinants of sustainable land management (SLM) in three countries (Ethiopia, Malawi and Tanzania). The results show that land degradation hotspots cover about 51%, 41%, 23% and 23% of the terrestrial areas in Tanzania, Malawi and Ethiopia respectively. The analysis of nationally representative household surveys shows that the key drivers of SLM in these countries are biophysical, demographic, regional and socio-economic determinants. Secure land tenure, access to extension services and market access are some of the determinants incentivizing SLM adoption. The implications of this study are that policies and strategies that facilities secure land tenure and access to SLM information are likely to incentivize investments in SLM. Local institutions providing credit services, inputs such as seed and fertilizers, and extension services must also not be ignored in the development policies.

DEVELOPMENT OF A LAND DEGRADATION ASSESSMENT MODEL BASED ON FIELD INDICATORS ASSESSMENT AND PREDICTION METHODS IN WAI SARI, SUB-WATERSHED KAIRATU DISTRICT, WESTERN SERAM REGENCY, MALUKU PROVINCE, INDONESIA

2019 ◽  
Vol 2 (1) ◽  
pp. 071-084
Author(s):  
Silwanus M. Talakua ◽  
Rafael M. Osok
Keyword(s):  
Land Degradation ◽  
Soil Loss ◽  
Assessment Model ◽  
Small Scale ◽  
Small Islands ◽  
Topographic Map ◽  
Field Assessment ◽  
Field Indicators ◽  
Degradation Measurement ◽  
Very High

The study was conducted in Wai Sari sub-watershed, Western Seram Regency Maluku to develop an accurate land degradation assessment model for tropical small islands. The Stocking’s field land degradation measurement and RUSLE methods were applied to estimate soil loss by erosion and the results of both methods were statistically tested in order to obtain a correction factor. Field indicators and prediction data were measured on 95 slope units derived from the topographic map. The rates of soil loss were calculated according to both methods, and the results were used to classify the degree of land degradation. The results show that the degree of land degradation based on the field assessment ranges from none-slight (4.04 - 17.565 t/ha/yr) to very high (235.44 - 404.00 t/ha/yr), while the RUSLE method ranges from none-slight (0.04-4.59 t/ha/yr) to very high 203.90 - 518.13 t/ha/yr.  However, the RUSLE method shows much higher in average soil loss (133.4 t/ha/yr) than the field assessment (33.9 t/ha/yr). The best regression equation of  logD/RP = - 0.594 + 1.0 logK + 1.0 logLS + 1.0 logC or D = 0.2547xRxKxLSx CxP was found to be a more suitable land degradation assessment  model for a small-scale catchment area in the tropical small islands.

Unfolding the effectiveness of ecological restoration programs in combating land degradation: Achievements, causes, and implications

2020 ◽  
Vol 748 ◽  
pp. 141552 ◽  
Author(s):  
Chong Jiang ◽  
Haiyan Zhang ◽  
Lingling Zhao ◽  
Zhiyuan Yang ◽  
Xinchi Wang ◽  
...  
Keyword(s):  
Ecological Restoration ◽  
Land Degradation
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