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Qiuwen Zhou

Biographic Data

ID4442727
NAMEQiuwen Zhou
GIVEN NAMESQiuwen
FAMILY NAMEZhou
SIGNATUREZHOU Q
AFFILIATIONSGuizhou Normal University
ORCID0000-0001-8331-9743
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Using eye tracking to explore differences and influencing factors of map reading ability in different problem situation among high school students

    Open Access•Xinxin Li, Ping Li et al.•ARTICLE•Computers & Education•2026

  • Predicting the Spatial Distribution of Soil Thickness in Karst Areas With Shallow Soils Using Dynamic Vegetation Characteristics

    Open Access•Qiuwen Zhou, Xinlan Yang et al.•ARTICLE•Land Degradation and Development•2025

    The spatial heterogeneity of soil thickness in karst regions characterized by extremely shallow soils is significant, making it challenging to accurately predict soil thickness using traditional environmental covariates such as topography, land use, and vegetation cover. This study applied three machine learning models—Gradient Boosted Tree (BOOST), Random Forest (RF), and Support Vector Machine Regression (SVR)—to the Huajiang area, a typical ka…

  • Impact of socioeconomic factors on vegetation restoration in humid karst areas of China

    Open Access•Qiuwen Zhou, Ershuang Yuan et al.•ARTICLE•Journal of Rural Studies•2024•References: 1

  • Comparing the Water-holding Characteristics of Broadleaved, Coniferous, and Mixed Forest Litter Layers in a Karst Region

    Open Access•Qiuwen Zhou, David Keith et al.•ARTICLE•Mountain Research and Development•2018

    Karst forests are often located in mountainous regions, and because of various geological factors both soil and water loss are major conservation concerns. We investigated the water-holding characteristics of 3 typical karst forest types through field sampling and laboratory experiments. The results showed that (1) the total litter mass of the coniferous forest was significantly higher than that of either the mixed forest or the broadleaved fores…

  • A Soil Erosion Assessment of the Upper Mekong River in Yunnan Province, China

    Open Access•Qiuwen Zhou, Shengtian Yang et al.•ARTICLE•Mountain Research and Development•2014

    This study estimated average annual soil loss and clarified its spatial distribution and impact on reservoirs in the upper Mekong River basin in Yunnan Province, China. A quantitative grid-based estimation was made using a Universal Soil Loss Equation model in a geographic information system framework, along with remote sensing and other source data. The results suggest that the average annual soil loss in most of the area ranged from 0 to 2853 t…

No prominent works on this page.

  • A Soil Erosion Assessment of the Upper Mekong River in Yunnan Province, China

    Open Access•Qiuwen Zhou, Shengtian Yang et al.•ARTICLE•Mountain Research and Development•2014

    This study estimated average annual soil loss and clarified its spatial distribution and impact on reservoirs in the upper Mekong River basin in Yunnan Province, China. A quantitative grid-based estimation was made using a Universal Soil Loss Equation model in a geographic information system framework, along with remote sensing and other source data. The results suggest that the average annual soil loss in most of the area ranged from 0 to 2853 t…

  • Comparing the Water-holding Characteristics of Broadleaved, Coniferous, and Mixed Forest Litter Layers in a Karst Region

    Open Access•Qiuwen Zhou, David Keith et al.•ARTICLE•Mountain Research and Development•2018

    Karst forests are often located in mountainous regions, and because of various geological factors both soil and water loss are major conservation concerns. We investigated the water-holding characteristics of 3 typical karst forest types through field sampling and laboratory experiments. The results showed that (1) the total litter mass of the coniferous forest was significantly higher than that of either the mixed forest or the broadleaved fores…

  • Impact of socioeconomic factors on vegetation restoration in humid karst areas of China

    Open Access•Qiuwen Zhou, Ershuang Yuan et al.•ARTICLE•Journal of Rural Studies•2024•References: 1

  • Predicting the Spatial Distribution of Soil Thickness in Karst Areas With Shallow Soils Using Dynamic Vegetation Characteristics

    Open Access•Qiuwen Zhou, Xinlan Yang et al.•ARTICLE•Land Degradation and Development•2025

    The spatial heterogeneity of soil thickness in karst regions characterized by extremely shallow soils is significant, making it challenging to accurately predict soil thickness using traditional environmental covariates such as topography, land use, and vegetation cover. This study applied three machine learning models—Gradient Boosted Tree (BOOST), Random Forest (RF), and Support Vector Machine Regression (SVR)—to the Huajiang area, a typical ka…

  • Using eye tracking to explore differences and influencing factors of map reading ability in different problem situation among high school students

    Open Access•Xinxin Li, Ping Li et al.•ARTICLE•Computers & Education•2026

Environmental Science (3 works) · Geography (3 works) · China (2 works) · Geology (2 works) · Hydrology (agriculture (2 works) · Hydrology and Watershed Management Studies (2 works) · Karst (2 works) · Agroforestry (1 work) · Archaeology (1 work) · Biology (1 work)

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