[1]XU Liting.Natural Factors of Land Use Change in Wujiang River Basin[J].Research of Soil and Water Conservation,2022,29(05):319-326.
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Natural Factors of Land Use Change in Wujiang River Basin
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 05
Page number:
319-326
Column:
Public date:
2022-08-20
- Title:
- Natural Factors of Land Use Change in Wujiang River Basin
- CLC:
- F301.24
- DOI:
- -
- Abstract:
- Natural factors are the main causes of land use change in a typical mountainous watershed. As a typical mountainous basin, the contribution rates of various natural factors in the transformation of land use types in Wujiang River Basin were studied, and the key driving factors were found, so as to provide reference for the rational adjustment of land use layout. Based on the three land use data in 2000, 2010, and 2020, from the spatiotemporal and holistic characteristics, we analyzed the natural factors of land use change in Wujiang River Basin by integrating various natural factors and using the boosted regression tree model. The results showed that:(1)from 2000 to 2020, the land uses types of Wujiang River Basin showed that the proportions of forest land, shrub land, water, and artificial surface area increased significantly, the areas of cultivated land and wetland decreased significantly, and the change of grassland area showed a stable trend;(2)the comparison between 2000 and 2020 showed that the water area in the middle of Wujiang River Basin expanded, the forestland in the north increased, and the cultivated land area in the east decreased significantly; the spatial changes of grassland and shrub land were not obvious, which presented the embedded distribution; the increase of the artificial surface was most obvious in the southeast, southwest, northeast, and northwest;(3)in terms of contribution rate, precipitation contributed the most to grassland change, the slope had the largest impact on cultivated land, vegetation type had the greatest influence on forestland, the slope was the biggest natural driving factor affecting wetland, the temperature was the most natural factor that restricted the development of shrub land, and soil type had the largest contribution rate to water change, slope was the biggest natural driving factor of artificial surface change. To sum up, the main characteristic factors of grassland change were precipitation, vegetation type and temperature; the characteristic factors of cultivated land change were slope, elevation and temperature respectively; the characteristic factors of forest land change were vegetation type, elevation and air temperature; the characteristic factor of wetland change was slope; the characteristic factors of shrub land change were temperature, soil type and vegetation type; the characteristic factors of water body change were soil type and vegetation type; the characteristic factors of man-made surface change were slope and vegetation type.
- References:
-
[1] 张舒瑾,余珮珩,白少云,等.面向国土空间规划的流域景观时空分异特征及驱动因子研究[J].生态经济,2020,36(10):219-227.
[2] 王皓玥,师学义,钱铭杰.土地整治视角下流域土地利用变化研究综述[J].中国人口·资源与环境,2016,26(S1):190-193.
[3] 国务院.中华人民共和国土地管理法实施条例[N].人民日报,2021-08-03(015):1-8. DOI:10.28655/n. cnki. nrmrb.2021.008103.
[4] 刘纯军,周国富,黄启芬,等.基于地形梯度的贵州乌江流域土地利用时空演变分析[J].贵州师范大学学报:自然科学版,2020,38(6):45-54.
[5] 宋诗园,曾波,周廷刚,等.基于RS和GIS的乌江流域(重庆段)湿地景观动态分析[J].中国水土保持科学,2017,15(1):81-88.
[6] 翟荣飞,赵翠薇,杨莉.基于地形因子的喀斯特山地土地利用变化分析:以乌江北源为例[J].湖南师范大学自然科学学报,2016,39(1):9-15.
[7] 吴彦潮,赵翠薇,韩冰倩.山地流域土地利用时空演变的地形梯度特征:以乌江北源为例[J].水土保持研究,2017,24(1):161-166,2.
[8] 田云聪.乌江赤水河上中游国家重点治理区水土流失监测研究[D].武汉:华中师范大学,2020.
[9] 黄国金.基于InVEST模型喀斯特流域生态系统服务功能评估[D].贵阳:贵州师范大学,2020.
[10] 吴晶晶.基于GIS和CA-Markov模型的乌江下游地区土地利用变化情景模拟与生态环境效应评价[D].重庆:西南大学,2017.
[11] 朱晓丝,周国富,钟九生.乌江流域水域面积变化的气候效应[J].水力发电,2020,46(8):10-13,98.
[12] 王尧,蔡运龙,潘懋.贵州省乌江流域土地利用与土壤侵蚀关系研究[J].水土保持研究,2013,20(3):11-18.
[13] 石悦樾,银正彤,郑文锋.基于MODIS数据乌江流域植被覆盖变化与气候变化关系研究[J].林业资源管理,2017,1(1):127-134.
[14] 王秀春,黄秋昊,蔡运龙.贵州省乌江流域植被覆盖动态变化分析[J].水土保持研究,2008,15(5):15-17.
[15] Elith J, Leathwick J R, Hastie T. A working guide to boosted regression trees[J]. the Journal of Animal Ecology, 2008,77(4):802-813.
[16] 吴金华,房世峰,刘宝军,等.乌裕尔河—双阳河流域湿地景观格局演变及其驱动机制[J].生态学报,2020,40(13):4279-4290.
[17] 李春林,刘淼,胡远满,等.基于增强回归树和Logistic回归的城市扩展驱动力分析[J].生态学报,2014,34(3):727-737.
[18] 盛佳.基于增强回归树的社会公共治理得分影响因素分析[D].昆明:云南大学,2017.
[19] 欧强新.福建省马尾松生物量转换和扩展因子的影响因素[D].北京:中国林业科学研究院,2017.
[20] 车通,李成,罗云建.城市扩张过程中建设用地景观格局演变特征及其驱动力[J].生态学报,2020,40(10):3283-3294.
[21] 臧颢,黄锦程,刘洪生,等.基于增强回归树的杉木人工林林分断面积模型研究[J].江西农业大学学报,2020,42(3):553-562.
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Last Update:
2022-08-20