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Showing items 44839 through 44847 of 73380.In the past few years, there has been a growing amount of research on economic quantifications and valuations of ecosystem services (ES) in agricultural systems. However, little attention has been given to cultural ESs (CES) in general and their link to the landscape in particular.
Crown diameter and tree density were measured in 52 communities in the Sudan-Sahel using satellite imagery to determine the relationships between rainfall and distance from community center to crown size diameter and tree density.
Despite scientific progress in operationalizing sustainable development (SD), it is still hampered by methodological challenges at the regional level.
Soil loss is not limited to change from forest or woodland to other land uses/covers. It may occur when there is agricultural land-use/cover modification or conversion. Soil loss may influence loss of carbon from the soil, hence implication on greenhouse gas emission.
Currently, many studies on benefit sharing mechanisms (BSM) and the Reducing Emissions from Deforestation and Forest Degradation programme (REDD+) focus on poverty alleviation and livelihood development. However, relatively few studies incorporate an integrated livelihood framework.
Rural livelihoods and the land systems on which they depend are increasingly influenced by distant markets through economic globalization. Place-based analyses of land and livelihood system sustainability must then consider both proximate and distant influences on local decision-making.
While geographers and economists regularly work together on the development of land-use and land-cover change models, research on how differences in their modelling approaches affects the results is rare.
The National Geomatics Center of China (NGCC) produced Global Land Cover (GlobalLand30) maps with 30 m spatial resolution for the years 2000 and 2009–2010, responding to the need for harmonized, accurate, and high-resolution global land cover data.
This paper presents a method to optimise the calibration of parameters and land use transition rules of a cellular automata (CA) urban growth model using a self-adaptive genetic algorithm (SAGA).
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