基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因
Quantitative attribution analysis of soil erosion in different morphological types of geomorphology in karst areas: Based on the geographical detector method
查看参考文献29篇
文摘
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土壤侵蚀形成机制与影响因素识别是当前研究的核心与前沿议题,然而从多因素综合作用的角度进行定量归因仍需加强。以喀斯特典型峰丛洼地流域为研究区,基于GIS手段和RUSLE模型模拟土壤侵蚀,综合土地利用、坡度、降雨、高程、岩性、植被覆盖度等影响因子,应用地理探测器方法针对喀斯特不同地貌形态类型区进行土壤侵蚀的定量归因研究。结果表明,各影响因子对土壤侵蚀的解释力及因子间耦合作用程度在不同地貌形态类型区差异显著,其中土地利用和坡度是决定土壤侵蚀空间异质的主导因子,但在山地丘陵区,随着地形起伏度的升高,坡度的控制作用下降,即地理探测器q值表现为中海拔丘陵>小起伏中山>中起伏中山;生态探测器显示土地利用对土壤侵蚀的影响相比于其他因子有显著差异;双因子交互作用有助于增强对土壤侵蚀的解释力,土地利用与坡度的协同作用对土壤侵蚀的解释力达到70%以上;对于土壤侵蚀空间分布的差异性检验,风险探测器显示在小起伏中山、中起伏中山等地貌形态类型中,具有显著差异的影响因子分层组合数占比至少55%。因而,喀斯特地区土壤侵蚀的治理应综合考虑不同地貌形态类型区土壤侵蚀影响机制的空间异质性。 |
其他语种文摘
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The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multifactor synthesis are still insufficient. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different morphological types of geomorphology in a typical karst basin based on the RUSLE model and the geographical detector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in various morphological types of geomorphology. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant (q value) for soil erosion was much higher than that of other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill > small relief mountain > middle relief mountain. Multi-factor interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes (such as dry land with a slope of 5°and dry land with slopes above 25°) or in the diverse land use types with the same slopes (such as dry land with a slope of 5° and forest with a slope of 5°), varied greatly. This indicates that prohibiting steep slope cultivation and the Grain for Green Project are reasonable measures to harness soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small and middle relief mountains. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different morphological types of geomorphology should be investigated to control karst soil loss more effectively. |
来源
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地理学报
,2018,73(9):1674-1686 【核心库】
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DOI
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10.11821/dlxb201809005
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关键词
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土壤侵蚀
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定量归因
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RUSLE模型
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地理探测器
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三岔河流域
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地址
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1.
中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京, 100101
2.
中国科学院大学, 北京, 100049
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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0375-5444 |
学科
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自然地理学 |
基金
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国家973计划
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国家自然科学基金项目
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文献收藏号
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CSCD:6322268
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参考文献 共
29
共2页
|
1.
李智广. 我国水土流失状况与发展趋势研究.
中国水土保持科学,2008,6(1):57-62
|
CSCD被引
43
次
|
|
|
|
2.
Wang S J. Karst rocky desertification in southwestern China: Geomorphology, landuse, impact and rehabilitation.
Land Degradation & Development,2004,15(2):115-121
|
CSCD被引
152
次
|
|
|
|
3.
侯文娟. 结构—功能—生境框架下的西南喀斯特生态系统脆弱性研究进展.
地理科学进展,2016,35(3):320-330
|
CSCD被引
30
次
|
|
|
|
4.
张信宝. 贵州石漠化空间分布与喀斯特地貌、岩性、降水和人口密度的关系.
地球与环境,2013,41(1):1-6
|
CSCD被引
30
次
|
|
|
|
5.
王尧. 贵州省乌江流域土地利用与土壤侵蚀关系研究.
水土保持研究,2013,20(3):11-18
|
CSCD被引
11
次
|
|
|
|
6.
许月卿. 基于GIS和RUSLE的土壤侵蚀量计算——以贵州省猫跳河流域为例.
北京林业大学学报,2006,28(4):67-71
|
CSCD被引
54
次
|
|
|
|
7.
张信宝. 碳酸盐岩风化壳中的土壤蠕滑与岩溶坡地的土壤地下漏失.
地球与环境,2007,35(3):202-206
|
CSCD被引
98
次
|
|
|
|
8.
熊康宁. 典型喀斯特石漠化治理区水土流失特征与关键问题.
地理学报,2012,67(7):878-888
|
CSCD被引
154
次
|
|
|
|
9.
Bai X Y. Use of 137Cs and 210Pbex measurements on deposits in a karst depression to study the erosional response of a small karst catchment in Southwest China to land-use change.
Hydrological Processes,2013,27(6):822-829
|
CSCD被引
6
次
|
|
|
|
10.
Feng T. Soil erosion rates in two karst peak-cluster depression basins of northwest Guangxi, China: Comparison of the RUSLE model with 137Cs measurements.
Geomorphology,2016,253:217-224
|
CSCD被引
32
次
|
|
|
|
11.
Peng T. Effects of land use, land cover and rainfall regimes on the surface runoff and soil loss on karst slopes in southwest China.
Catena,2012,90:53-62
|
CSCD被引
91
次
|
|
|
|
12.
李佳洺. 胡焕庸线两侧人口的空间分异性及其变化.
地理学报,2017,72(1):148-160
|
CSCD被引
83
次
|
|
|
|
13.
湛东升. 基于地理探测器的北京市居民宜居满意度影响机理.
地理科学进展,2015,34(8):966-975
|
CSCD被引
58
次
|
|
|
|
14.
Hu Y. Geographical detector-based risk assessment of the under-five mortality in the 2008 Wenchuan Earthquake, China.
Plos One,2011,6(6):e21427
|
CSCD被引
36
次
|
|
|
|
15.
Luo W. Spatial association between dissection density and environmental factors over the entire conterminous United States.
Geophysical Research Letters,2015,43(2):692-700
|
CSCD被引
5
次
|
|
|
|
16.
通拉嘎. 地理环境因子对螺情影响的探测分析.
地理科学进展,2014,33(5):625-635
|
CSCD被引
21
次
|
|
|
|
17.
王劲峰. 地理探测器:原理与展望.
地理学报,2017,72(1):116-134
|
CSCD被引
1899
次
|
|
|
|
18.
蔡运龙.
贵州喀斯特高原山区土地变化研究,2015:61-62
|
CSCD被引
1
次
|
|
|
|
19.
周成虎. 中国陆地1: 100万数字地貌分类体系研究.
地球信息科学学报,2009,11(6):707-724
|
CSCD被引
122
次
|
|
|
|
20.
Zeng C. Soil erosion evolution and spatial correlation analysis in a typical karst geomorphology using RUSLE with GIS.
Solid Earth,2017,8(4):721-736
|
CSCD被引
19
次
|
|
|
|
|