Geography Reference
In-Depth Information
Chapter 3
Spatially Explicit Land-Use
and Land-Cover Scenarios for China
Feng Wu, Qun'ou Jiang, Yongwei Yuan, Qian Xu and Xing Li
In climate modeling, land use data is applied as underlying surfaces and definitively
determines the simulation results of regional climate. Researches show that Land
Use and Cover Change (LUCC) not only affects the terrestrial ecosystem biodi-
versity, energy balance, water cycle, but also exerts influence on climate and social
economy (Berg et al. 2010 ; Liu and Diamond 2005 ). Besides, LUCC is a significant
performance of material and energy interactions between human and global envi-
ronment. It not only affects the geographical distribution of terrestrial ecosystem
patterns and productivity, but also objectively reflects how human influence bio-
geochemical cycles and the structure and function of ecosystem (Jiang et al. 2013 ).
Some achievements have been made in the researches on LUCC, but it still far
from being able to meet the need to alleviate and adapt to global environmental
change. Meanwhile, LUCC contributes to climate change and variability at global,
regional and local scales (Hibbard et al. 2010 ). With the progress of researches on
climatic modeling over the past decades, it has been widely recognized that there is
an urgent need to accurately characterize land surface as boundary conditions in
climate modeling (Hibbard et al. 2010 ; Sertel et al. 2010 ). Land cover datasets, which
are often derived from the remote sensing images, have been widely used to describe
underlying surface conditions in climate models. But the accuracy of these datasets is
still not high enough to meet the requirement of high resolution climate simulation.
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