NDLI: Bioclimatic modeling the spatial distribution of mountain forests in the Qilian Mountains, Northwest of China, using down-scaled climatic models

Content Provider	IEEE Xplore Digital Library
Author	Liu Yong Zou Songbing Chen Fahu
Copyright Year	2004
Description	Author affiliation: Sch. of Earth & Environ. Sci., Lanzhou Univ. (Liu Yong; Zou Songbing; Chen Fahu)
Abstract	Study on the Climate-Vegetation Coupling Relationship (CVCR) has been an attractive field in geography and ecology since the late 19th century. Its results are very helpful for decision-making of vegetation ecological restoration. However, it is hard for scientists to know precisely about the quantified relationships between a variety of vegetation types and a set of climatic parameters because of poor matching between spatially limited climatic data and high-resolution vegetation maps. In this article, the authors suggest new high-resolution distributing models that combine temperature and precipitation respectively with altitude, latitude, slope, and aspect, and perform regression analysis to deduce two equations linking temperature and precipitation respectively with readily observed altitude, slope and aspect. Using the two equations, mean annual temperature, mean monthly temperature, and annual precipitation for each cell can be calculated based upon the digital elevation model. The calculated results of models running are consistent with the actual conditions of temperature and precipitation in alpine zones of Qilian Mountains. According to the statistics of the distributing precipitation model, the regional annual precipitation maximum in Qilian Mountains occurs at 4500 m above sea level (a.s.l.). According to interpretation of Landsat TM/ETM+ imagery data, the actual areas of mountain forests in the study area are 422.94 $km^{2}.$ The coupling relationship of mountain forests with both temperature and precipitation is achieved by combining the distributing temperature model with distributing precipitation model in the area of mountain forests together. The CVCR analysis indicates the mean annual temperature of -2.7~0.8degC, the mean July temperature of 9.3~13.7degC in the area of mountain forests, and the annual precipitation is more than 360 mm. According to the above-mentioned coupling relationships, a map which illustrates the potential extent of mountain forests is created. Statistics shows that under conditions without human-induced interruptions, potential areas of mountain forests would reach up to 6937.12 $km^{2}.$ It means that, the present conditions of both types of forests only account for about 6% of the inferred potential areas
Starting Page	4625
Ending Page	4628
File Size	1043015
Page Count	4
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1370187
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ocean temperature Biological system modeling Vegetation mapping Equations Geography Environmental factors Decision making Image restoration Regression analysis Joining processes
Content Type	Text
Resource Type	Article

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