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To better assess land use influences, we developed empirical models relating land use patterns to the water quality of low-order streams at different geomorphic regions across multi-scales in the Dongjiang River basin using multivariate statistical analyses.
Suitability evaluation involves relating land mapping units to specified types of land use.
In this article we have presented an alternative approach for relating land cover information to human environmental interactions over large areas an issue which remains a key challenge of land change science in general and to research on swidden agriculture in particular.
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Hubbard, S. S. et al. Quantifying and relating land-surface and subsurface variability in permafrost environments using LiDAR and surface geophysical datasets.
For instance, by relating land-use intensity, insect abundance, and forest proximity to foraging attempts of bats, Treitler et al. (2016) found more foraging attempts on grasslands near forests, yet only on extensively managed grasslands.
It notes that agriculture and related land use alone accounts for at least one-fifth of global greenhouse-gas emissions – and that this must also be addressed.
We took advantage of historical information and long-term landscape analyses to relate land use change with the area of mangroves in Puerto Rico.
Previous studies have related land use characteristics to NO3– contamination in surface waters and groundwater.
We can only relate land cover changes to human action if we understand who the actors influencing the land are, and what the intention and meaning of their activities is.
We added variables to the regression model in four steps: traffic variables, traffic-related land-use variables, population density-related land-use variables, and other land-use variables (such as industry and green space).
This paper demonstrates the use of NASIS for evaluating the suitability of military lands for vehicle related land-use activities.
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