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Yunqiang Wang

Biographic Data

ID6317992
NAMEYunqiang Wang
GIVEN NAMESYunqiang
FAMILY NAMEWang
SIGNATUREWANG Y
AFFILIATIONSState Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment Chinese Academy of Sciences Xi'an PR China
ORCID0000-0003-3380-549X
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS8
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Global patterns of dried soil layers and environmental forcing

    Open Access•Zixuan Zhou, Yunqiang Wang•ARTICLE•Land Degradation and Development•2023

    Deep soil drought represents a low level of deep soil water status that is unsuitable for vegetation growth and transpiration. It can be exacerbated through the excessive water uptake by vegetation during climate droughts, while signs of deep soil drought remain unclear worldwide due to a lack of unified methods and comparative data. In this study, we performed a literature search, focusing on deep soil water profiles (>2 m) and quantification of…

  • Asymmetric responses of soil bacterial community and soil respiration to precipitation changes

    Open Access•Fan Wu, Yunqiang Wang et al.•ARTICLE•Land Degradation and Development•2023

    Changes in the frequency and intensity of precipitation altered the hydrological features, thereafter greatly affecting carbon (C) cycling in terrestrial ecosystems. Soil bacteria are pivotal drivers of the global C cycle in terrestrial ecosystems; however, the responses of soil bacterial communities and the C‐cycle they regulated to precipitation changes remain unclear. Here, we conducted a global meta‐analysis using 98 paired observations from …

  • A Route Map for Successful Applications of Geographically Weighted Regression

    Open Access•Alexis Comber, C Brunsdon et al.•ARTICLE•Geographical Analysis•2023

    Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows spatial heterogeneities in processes and relationships to be investigated through a series of local regression models rather than a single global one. Standard GWR assumes that relationships between the response and predictor variables operate at the same spatial scale, which is frequently not the case. To address this, se…

  • Spatial–temporal dynamics and recovery mechanisms of dried soil layers under Robinia pseudoacacia forest based on in‐situ field data from 2017 to 2020

    Open Access•Meina He, Yunqiang Wang et al.•ARTICLE•Land Degradation and Development•2022

    Planting Robinia pseudoacacia in water‐limited regions can promote soil and water conservation and ecological service functions. However, it can cause the formation of below ground dried soil layers (DSLs), causing land degradation and tree mortality. To ascertain the spatial–temporal dynamics and recovery processes of DSLs, we monitored the deep soil water content (SWC) to a depth of 500 cm at 27 sites on a typical R. pseudoacacia forest from 20…

  • Quantitative contribution of the Grain for Green Program to vegetation greening and its spatiotemporal variation across the Chinese Loess Plateau

    Open Access•Yi Song, Yunqiang Wang et al.•ARTICLE•Land Degradation and Development•2022

    A distinct greening trend is evident in Asia, especially on the Loess Plateau (LP) of China, which is driven by climate change and large‐scale land‐use‐related ecological projects, especially the 'Grain for Green Program' (GFGP). However, the specific contributions of the GFGP to vegetation greening and the variation of this greening on a large spatiotemporal scale are not yet clear. We used long‐time‐series normalized difference vegetation index…

  • Comparison of changes in vegetation and land cover types between Shenzhen and Bangkok

    Open Access•Yi Song, Jagannath Aryal et al.•ARTICLE•Land Degradation and Development•2021

    As important node cities in the Belt and Road region, Shenzhen and Bangkok are faced with similar environmental threats posed by the high‐speed social development process. Rapid urbanization leads to changes in vegetation growth and land cover types and then affects ecosystem services. In the current study, we used a time‐series normalized difference vegetation index dataset from 2000 to 2019 and two land cover type datasets from 2000 to 2018 to …

  • Evaluation of the environmental effects of intensive land consolidation

    Open Access•Meina He, Yunqiang Wang et al.•ARTICLE•Land Use Policy•2020•Cited by: 8•References: 55

  • Evaluation of the environmental effects of intensive land consolidation

    Open Access•Meina He, Yunqiang Wang et al.•ARTICLE•Land Use Policy•2020•Cited by: 8•References: 55

  • Evaluation of the environmental effects of intensive land consolidation

    Open Access•Meina He, Yunqiang Wang et al.•ARTICLE•Land Use Policy•2020•Cited by: 8•References: 55

  • Comparison of changes in vegetation and land cover types between Shenzhen and Bangkok

    Open Access•Yi Song, Jagannath Aryal et al.•ARTICLE•Land Degradation and Development•2021

    As important node cities in the Belt and Road region, Shenzhen and Bangkok are faced with similar environmental threats posed by the high‐speed social development process. Rapid urbanization leads to changes in vegetation growth and land cover types and then affects ecosystem services. In the current study, we used a time‐series normalized difference vegetation index dataset from 2000 to 2019 and two land cover type datasets from 2000 to 2018 to …

  • Spatial–temporal dynamics and recovery mechanisms of dried soil layers under Robinia pseudoacacia forest based on in‐situ field data from 2017 to 2020

    Open Access•Meina He, Yunqiang Wang et al.•ARTICLE•Land Degradation and Development•2022

    Planting Robinia pseudoacacia in water‐limited regions can promote soil and water conservation and ecological service functions. However, it can cause the formation of below ground dried soil layers (DSLs), causing land degradation and tree mortality. To ascertain the spatial–temporal dynamics and recovery processes of DSLs, we monitored the deep soil water content (SWC) to a depth of 500 cm at 27 sites on a typical R. pseudoacacia forest from 20…

  • Quantitative contribution of the Grain for Green Program to vegetation greening and its spatiotemporal variation across the Chinese Loess Plateau

    Open Access•Yi Song, Yunqiang Wang et al.•ARTICLE•Land Degradation and Development•2022

    A distinct greening trend is evident in Asia, especially on the Loess Plateau (LP) of China, which is driven by climate change and large‐scale land‐use‐related ecological projects, especially the 'Grain for Green Program' (GFGP). However, the specific contributions of the GFGP to vegetation greening and the variation of this greening on a large spatiotemporal scale are not yet clear. We used long‐time‐series normalized difference vegetation index…

  • Global patterns of dried soil layers and environmental forcing

    Open Access•Zixuan Zhou, Yunqiang Wang•ARTICLE•Land Degradation and Development•2023

    Deep soil drought represents a low level of deep soil water status that is unsuitable for vegetation growth and transpiration. It can be exacerbated through the excessive water uptake by vegetation during climate droughts, while signs of deep soil drought remain unclear worldwide due to a lack of unified methods and comparative data. In this study, we performed a literature search, focusing on deep soil water profiles (>2 m) and quantification of…

  • Asymmetric responses of soil bacterial community and soil respiration to precipitation changes

    Open Access•Fan Wu, Yunqiang Wang et al.•ARTICLE•Land Degradation and Development•2023

    Changes in the frequency and intensity of precipitation altered the hydrological features, thereafter greatly affecting carbon (C) cycling in terrestrial ecosystems. Soil bacteria are pivotal drivers of the global C cycle in terrestrial ecosystems; however, the responses of soil bacterial communities and the C‐cycle they regulated to precipitation changes remain unclear. Here, we conducted a global meta‐analysis using 98 paired observations from …

  • A Route Map for Successful Applications of Geographically Weighted Regression

    Open Access•Alexis Comber, C Brunsdon et al.•ARTICLE•Geographical Analysis•2023

    Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows spatial heterogeneities in processes and relationships to be investigated through a series of local regression models rather than a single global one. Standard GWR assumes that relationships between the response and predictor variables operate at the same spatial scale, which is frequently not the case. To address this, se…

Ecology (6 works) · Environmental Science (6 works) · Soil Science (5 works) · Geography (4 works) · Geology (4 works) · Soil water (4 works) · Biology (3 works) · Land Use and Ecosystem Services (3 works) · Mathematics (3 works) · Soil erosion and sediment transport (3 works)

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