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5 October 2020 Development Potential Discussion of Agricultural Water Ecosystem in China Using the Specific Surface Area Method
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Abstract

Zhang, Q.S.; Zhou, X.D.; Guo, B.; Bao, Y., and Wang, Q., 2020. Development potential discussion of agricultural water ecosystem in China using the specific surface area method. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 121–124. Coconut Creek (Florida), ISSN 0749-0208.

The study of landscape pattern is the main content of landscape ecology. The landscape metrics method is an important method to study landscape pattern and is widely used landscape ecology. In the process of its calculation, landscape patches are regarded as planar existence. However, the actual landscape and its patches are all three-dimensional, and the calculation using only the plane will ignore some features of the landscape, so that the calculation results may be biased. Therefore, in order to restore the three-dimensional characteristics of the landscape, this paper tries to introduce the method of calculating the specific surface area of the landscape in order to add a new, more accurate method for the study of landscape pattern. The results show that the specific surface area of farmland is the largest and its effect on the ecosystem is the most significant. At the same time, if the height of patch type (such as buildings) changes, the specific surface area value will change accordingly, and the importance of each plaque will also change. However, the results calculated by the landscape index method cannot reflect the corresponding changes.

©Coastal Education and Research Foundation, Inc. 2020
Qiushi Zhang, Xudan Zhou, Ben Guo, Yu Bao, and Qing Wang "Development Potential Discussion of Agricultural Water Ecosystem in China Using the Specific Surface Area Method," Journal of Coastal Research 104(sp1), 121-124, (5 October 2020). https://doi.org/10.2112/JCR-SI104-022.1
Received: 7 February 2020; Accepted: 8 July 2020; Published: 5 October 2020
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