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Showing items 100 through 108 of 1818.This study investigates the main threats related to environmental degradation that affect Amazonian Indigenous Lands (ILs). Through a cluster analysis, we group ILs according to the set of common environmental threats that occur within and outside their limits.
The surface fluxes calculated in land surface models (LSMs) are sensitive to the determination of the stability parameter. Further, calculation of the surface fluxes over the Tibetan Plateau (TP) is crucial in the simulation of regional and global weather and climate.
To better understand the impacts of infrastructure investment on economic growth and, we used Cobb-Douglas production function model to develop the stock of public infrastructure capital into the economic growth model.
Soil microorganisms play an important role in agricultural ecosystems, but their response to organic fertilizer application has not been thoroughly elucidated.
Scale effects are inherent in spatial analysis. Quantitative knowledge about them is necessary for properly interpreting and scaling analysis results. The objective of this study was to systematically model patch area scaling and the associated uncertainty.
Unauthorized migration under global regimes of border and immigration enforcement has become more risky and costly than ever.
Many countries grapple with the intractable problem of formalizing tenure security. The concept of ‘fit-for-purpose land administration’ (FFPLA) offers a way forward by advocating a shift towards a more flexible, pragmatic and inclusive approach for land rights recording.
The habitat of the several territories in Ciudad Real (Castilla-La Mancha, Spain) are studued through the and mapping (scale 1:10.000) and vegetation analysis.
Expansive learning is a teaching–learning method adopted by the Department of Architecture of Universidad de las Américas Puebla, Mexico, to introduce architectural students to the field of landscape sensitizing.