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基于Logistic回归模型的会泽县草地资源变化及驱动力分析.

Authors :
孙晓莉
赵然
和万荣
郑毅
袁磊
郭朝元
Source :
Southwest China Journal of Agricultural Sciences. 2021, Vol. 34 Issue 6, p1309-1315. 7p.
Publication Year :
2021

Abstract

[Objective] The purpose of this paper is to analyze the dynamic changes and driving forces of grassland resources in Huize county of Yunnan province. [ Method] Based on the remote sensing data of2009a and 2016a, the change and driving force of grassland resources in the study area were analyzed quantitatively by comprehensive dynamic change of grassland resources, geo-informatic spectrum and logistic re gression model with the township as the research scale. [ Result] From the data of 2009 - 2016, the comprehensive dynamic change of grass land resources was 5. 85%, in which Xinjie township ( 14. 21 % ) and Tianba township ( 14. 00%) were more drastic changes, Wuxing township (2. 53%) and Jinzhong town (3. 41 % ) were relatively stable; According to the geo-informatic spectrum, the increased patch area of grassland resources was 41 953. 43 hm², the decreased area was 20 818. 92 hm², and the net increase was 21 134. 51 hm², which the newly increased grassland resources mainly came from woodland and cultivated land, accounting for 56. 85%, and the decreased grassland resources mainly flowed to woodland and cultivated land, accounting for 52. 20% ; From the driving forces of grassland resources change, the driving forces of grassland resources increase were annual rainfall, distance from highway, slope 25° - 90° and per capita net income; The driving forces affecting the reduction of grassland resources were annual rainfall, slope 25° - 90° and distance from highway; The driving forces affecting the overall change of grassland resources were slope 25° - 90°, 15° - 25°, 6° - 15°, 2° - 6°, annual average rainfall, ele vation and distance from highway. [ Conclusion] This study can provide important basis for ecological environment protection and sustainable development of Huize county in the future. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10014829
Volume :
34
Issue :
6
Database :
Academic Search Index
Journal :
Southwest China Journal of Agricultural Sciences
Publication Type :
Academic Journal
Accession number :
152452014
Full Text :
https://doi.org/10.16213/j.cnki.scjas.2021.6.025