Land degradation assessment by small scale traditional African farmers and implications for sustainable conservation management

Geoforum ◽  
1994 ◽  
Vol 25 (2) ◽  
pp. 145-154 ◽  
Author(s):  
Boyowa A. Chokor ◽  
Francis O. Odemerho
2019 ◽  
Vol 2 (1) ◽  
pp. 071-084
Author(s):  
Silwanus M. Talakua ◽  
Rafael M. Osok

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.


2017 ◽  
Vol 4 (9) ◽  
pp. 170374 ◽  
Author(s):  
Benedikt R. Schmidt ◽  
Anita Meier ◽  
Chris Sutherland ◽  
J. Andy Royle

Vague and/or ad hoc definitions of the area sampled in monitoring efforts are common, and estimates of ecological state variables (e.g. distribution and abundance) can be sensitive to such specifications. The uncertainty in population metrics due to data deficiencies, vague definitions of space and lack of standardized protocols is a major challenge for monitoring, managing and conserving amphibian and reptile populations globally. This is especially true for the slow-worm ( Anguis fragilis ), a cryptic and fossorial legless lizard; uncertainty about spatial variation in density has hindered conservation efforts (e.g. in translocation projects). Spatial capture–recapture (SCR) methods can be used to estimate density while simultaneously and explicitly accounting for space and individual movement. We use SCR to analyse mark–recapture data of the slow-worm that were collected using artificial cover objects (ACO). Detectability varied among ACO grids and through the season. Estimates of slow-worm density varied across ACO grids (13, 45 and 46 individuals ha −1 , respectively). The estimated 95% home range size of slow-worms was 0.38 ha. Our estimates provide valuable information about slow-worm spatial ecology that can be used to inform future conservation management.


2020 ◽  
Author(s):  
Maike Petersen ◽  
Christoph Bergmann ◽  
Paul Roden ◽  
Marcus Nüsser

<p>Wood charcoal ranks amongst the most commercialized but least regulated commodities in sub-Saharan Africa. Despite its prevalence as an energy source for cooking and heating, the localized environmental and livelihood impacts of charcoal production are poorly understood. This research deficit is amplified by widespread negative views of this activity as a poverty-driven cause of deforestation and land-degradation. However, the charcoal-degradation nexus is apparently more complicated, not least because the extraction of biomass from already degraded woodlands can be sustainable under various management regimes. In a case study in Central Pokot, Kenya, where charcoal production began in earnest in the early 1990’s we have investigated the social and environmental dynamics that are interlinked with the production of charcoal. Our methodological approach integrates remote sensing techniques with empirically based social scientific analyses across multiple spatial and temporal scales. Our results show that the area has undergone significant changes, both in the human and in the physical sphere. While the public opinion suggests a close connection between charcoal production and land degradation, a detailed Landsat-based land use and land cover change detection could not reveal a causal connection. In addition, a high-resolution analysis using an unmanned aerial system showed only minor effects of charcoal production on the vegetation. Our data indicates that rural small-scale production of charcoal has the potential to be transformed into a sustainable livelihood. Therefore, however, policy makers need to include their specific situation into the legal frameworks.</p>


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