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Displaying 496 - 500 of 1605Evaluating indicators of land degradation in smallholder farming systems of western Kenya
Understanding the patterns of land degradation indicators can help to identify areas under threat as basis for designing and implementing site-specific management options. This study sort to identify and assess the patterns of land degradation indicators in selected districts of western Kenya. The study employed the use of Land Degradation Sampling Framework (LDSF) to characterize the sites. LDSF a spatially stratified, random sampling design framework consisting of 10km×10km blocks and clusters of plots.
Projections of climate change impacts on potential C4 crop productivity over tropical regions
Climate change impacts on agriculture could arguably be most critical for developing countries in tropical regions: their populations rely importantly on agriculture and climate-dependant resources, poverty limits their capacity to anticipate and adapt to climate change, and population increase already poses a serious challenge to food security in those regions. Current projections of climate change impacts on tropical crop yields, even though on average negative, remain largely uncertain: there is need for more consistent, large-scale, quantitative assessments.
Understanding transportation-caused rangeland damage in Mongolia
Mongolia, a vast and sparsely populated semi-arid country, has very little formal road infrastructure. Since the 1990s, private ownership and usage of vehicles has been increasing, which has created a web of dirt track corridors due to the communal land tenure and unobstructed terrain, with some of these corridors reaching over 4 km in width. This practice aids wind- and water-aided erosion and desertification, causing enormous negative environmental effects.
Reprint of: When peer-reviewed publications are not enough! Delivering science for natural resource management
Over the last century, natural resource management on forest lands has shifted from a singular focus on resource extraction to many foci, such as recreation, tourism, conservation, view-scapes, cultural and spiritual values, sustainability, and other values. As a result, the information needs of land managers must now include social and cultural values. In addition, the public's interest in having greater participation in land management decisions and in generating scientific knowledge has never been greater.
Addressing the complexity in non-linear evolution of vegetation phenological change with time-series of remote sensing images
Earth observation based monitoring of change in vegetation phenology and productivity is an important and widely used approach to quantify degradation of ecosystems due to climatic or human influences. Most satellite based studies apply linear or polynomial regression methods for trend detections. In this paper it is argued that natural systems hardly react to human or natural influences in a linear or a polynomial manner. At shorter time-scales of few decades natural systems fluctuate to a certain extent in a non-systematic manner without necessarily changing equilibrium.