作者机构：
[Wang, Li; Yang, Peng; Sun, Xiao; Wu, Shangrong; Xia, Lang; Sun, Jing; Zha, Yan] Chinese Acad Agr Sci, State Key Lab Efficient Utilizat Arid & Semiarid A, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs,Inst Agr Resources & Re, Beijing 100081, Peoples R China.;[Zhou, Yong; Zhou, Y] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
通讯机构：
[Zha, Y ; Zhou, Y ] C;Chinese Acad Agr Sci, State Key Lab Efficient Utilizat Arid & Semiarid A, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs,Inst Agr Resources & Re, Beijing 100081, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
关键词：
Potentially toxic elements (PTEs);Sentinel-2;Environmental covariates;Machine learning;Farmland
摘要：
The universal contamination of arable land with potentially toxic elements (PTEs) poses a severe threat to food security and jeopardizes worldwide efforts to meet the United Nations Sustainable Development Goals (SDGs). How to obtain more reliable concentrations of PTEs in regional agricultural soils is a priority problem to be solved. Multispectral satellite remote sensing, with its advantages of high spatial and temporal resolution, broad coverage, and low cost, offers the potential to acquire spatial distribution of PTEs in agricultural soils over large areas. However, owing to the complexity of soil environments and the insufficiency of spectral information, the mechanism for retrieving concentrations of PTEs in agricultural soils via multispectral satellites is not yet clear, and the accuracy needs to be improved. In this study, we aimed to assess whether employing a fusion of spectral information and environmental covariates, results in more accurate retrievals of PTEs, specifically chromium (Cr) and mercury (Hg), in croplands than does employing spectral information alone. Three machine learning algorithms-kernel-based support vector machine (SVM), neural network-based back propagation neural network (BPNN), and tree-based extreme gradient boosting (XGBoost)-were developed to retrieve Cr and Hg concentrations in agricultural soils. The results showed that the fusion of spectral information and environmental covariates combined with the XGBoost model performed best in retrieving both Cr and Hg concentrations in agricultural soils with coefficient of determination (R-2) values of 0.73 and 0.74, respectively. Environmental covariates were important variables for determining Cr and Hg concentrations in agricultural soils, but the ability to retrieve these element concentrations by utilizing spectral information alone was limited. High Cr concentrations occurred in central towns and southern hilly mountains. High Hg concentrations were detected in the northwestern region and southern hilly mountains. The potential of fusing spectral information and environmental covariates to precisely retrieve PTE concentrations in agricultural soils can serve as a reference for agricultural soil health information monitoring worldwide.
期刊：
ENVIRONMENTAL RESEARCH LETTERS,2024年19(6):064049 ISSN：1748-9326
通讯作者：
Zhou, Y;Liang, X
作者机构：
[Zhou, Yong; Zhou, Y; He, Nan] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Cai, Yurong; Chen, Deli; Liang, Xia; Liang, X; Zhang, Mengxuan; He, Nan] Univ Melbourne, Sch Agr Food & Ecosyst Sci, Parkville, Vic 3010, Australia.;[Zhou, Yong; Zhou, Y; He, Nan] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Zhou, Zehan] Queens Univ Belfast, Sch Nat & Built Environm, Belfast BT9 5AG, North Ireland.;[Zhang, Junda] Minist Agr & Rural Affairs, Cultivated Land Qual Monitoring & Protect Ctr, Beijing 100125, Peoples R China.
通讯机构：
[Liang, X ] U;[Zhou, Y ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;Univ Melbourne, Sch Agr Food & Ecosyst Sci, Parkville, Vic 3010, Australia.;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
关键词：
ecological security;improved ecological footprint model;logarithmic mean divisia index model;drivers
摘要：
The increasing contradiction between resource supply and demand has brought ecological security (ES) to the forefront. Research on the changes of ES pattern and their driving factors is crucial for coordinating the regional ecological and economic development. Hubei Province in China exhibits uneven distribution of resources and a fragile ecological environment. In this study, an improved ecological footprint (EF) model was employed to analyze the changes in the ES pattern of Hubei Province. And the logarithmic mean Divisia index model was introduced to analyze the corresponding driving factors. The results showed that (1) from 2000 to 2020, the EF per capita (ef), the ecological carrying capacity per capita (ecc), and the ecological deficit (ED) per capita (ed) of Hubei Province increased by 47.11%, 2.71%, and 51.72%, respectively. In 2020, the cities in the province were in a state of ED, and the spatial distribution was 'high in the central part of the province and low in the east and west'. (2) Each ef type showed an increasing trend. The increase in ef mostly came from the increase in fisheries ef, fossil energy ef and cropland ef, with a contribution of 76.70%. The increase in ecc is mainly due to the increase in freshwater ecc, with a contribution of 274.87%. (3) The ecological pressure in the province continued to rise and has been in a state of being completely unsafe. The efficiency of ecological resource use has increased, and the ecological structure tends to be rationalized, but the ecological-economic coordination has weakened. (4) The overall EF growth in the province is mostly driven by economic, population and footprint structure factors, while footprint intensity suppresses EF growth. Therefore, it is advised to boost investment in eco-friendly tech, foster green economy growth, and prioritize renewable energy development. This study can provide a reference basis for policy formulation on environmental sustainability and ecosystem management.
作者机构：
Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China;College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;Author to whom correspondence should be addressed.;[Liu, Jingyi; He, Nan; Wang, Li; Zuo, Qian; Li, Qing] Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;[Zhou, Yong] Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
通讯机构：
[Yong Zhou] K;Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
<jats:p>Land use/cover change (LUCC) accompanied by climate change and human activities will have unpredictable impacts on watershed ecosystems. However, the extent to which these land use changes affect the spatial and temporal distribution of ecosystem services (ESs) in different regions remains unclear. The impact of LUCC on ESs in the Qingjiang Watershed (QJW), an ecologically sensitive area, and LUCC’s role in future ESs under different land use scenarios are crucial to promoting ecological conservation and land use management. This paper assessed water yield (WY), soil conservation (SC), carbon storage (CS) and habitat quality (HQ) using the InVEST model, and their responses to LUCC in the QJW from 1990 to 2018 using the geodetector and multiscale geographically weighted regression. We predicted land use patterns using the Logistic–CA–Markov model and their effects on ESs in 2034 under business as usual (BAU), ecological land protection (ELP), arable land protection (ALP) and ecological economic construction (EEC) scenarios. From 1990 to 2018, the area of cropland and woodland decreased by 28.3 and 138.17 km2, respectively, while the built-up land increased by 96.65 km2. The WY increased by 18.92%, while the SC, CS and HQ decreased by 26.94%, 1.05% and 0.4%, respectively. The increase in the arable land area led to a increase in WY, and the decrease in forest land and the increase in construction land led to a decrease in SC, CS and HQ. In addition to being influenced by land use patterns, WY and SC were influenced mainly by meteorological and topographical factors, respectively. In 2034, there was an obvious spatial growth conflict between cropland and construction land, especially in the area centered on Lichuan, Enshi and Yidu counties. Under four scenarios, WY and SC were ranked ALP > BAU > EEC > ELP, while CS and HQ were ranked ELP > EEC > BAU > ALP. Considering the sustainable eco-socio-economic development of the QJW, the EEC scenario can be chosen as a future development plan. These results can indicate how to rationally improve the supply of watershed ESs through land resource allocation, promoting sustainable regional development in mountainous watershed areas.</jats:p>
期刊：
Environmental Science and Pollution Research,2023年30(42):96329-96349 ISSN：0944-1344
通讯作者：
Yu, J
作者机构：
[Li, Yimin; Nie, Yan; Yin, Chen; Zhou, Yong; Yu, Lei] Cent China Normal Univ, Hubei Prov Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Peoples R China.;[Li, Yimin; Qin, Hong; Nie, Yan; Yin, Chen; Zhou, Yong; Yu, Lei] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Yu, J; Yu, Jing] Hubei Univ, Hubei Key Lab Reg Dev & Environm Response, Wuhan 430062, Peoples R China.
通讯机构：
[Yu, J ] H;Hubei Univ, Hubei Key Lab Reg Dev & Environm Response, Wuhan 430062, Peoples R China.
关键词：
Arable land multifunction;Functional trade-offs;Root mean square deviation method;Ecological compensation;The West Mountain Regions of Hubei Province
期刊：
Environment, Development and Sustainability,2023年25(7):6419-6448 ISSN：1387-585X
通讯作者：
Zhou, Y
作者机构：
[Xiao, Pengnan; Li, Mengyao; Zhou, Yong; Zhou, Y] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Xu, Jie] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China.
通讯机构：
[Zhou, Y ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
关键词：
Land use change;Terrain index;InVEST model;Spatiotemporal pattern;Habitat quality
摘要：
Based on the DEM (digital elevation model) data and land use data from 2000, 2005, 2010, 2015 and 2020, the spatiotemporal differentiation characteristics of habitat quality in Hubei Province were evaluated by the InVEST model (Integrated Valuation of Ecosystem Services and Tradeoffs) and GIS (Geographic Information System) spatial analysis method, and the topographic gradient effect on habitat quality was analyzed by regression analysis and terrain index. The spatial distribution of habitat quality in Hubei Province was quite different, and the overall level was high. High-quality habitats were mainly located in hilly regions and water areas, while low-level habitats are mainly distributed in agricultural areas and urban areas. From 2000 to 2020, the high-level habitats in Hubei Province tended to degenerate to low-level habitats, and the average habitat quality decreased slightly. The habitat quality in most areas of Hubei Province had no obvious change from 2000 to 2020, and the overall spatial features were "rising in the southeast and decreasing in the middle". With the elevation of the terrain grade, the number of county-level units with high-level habitat quality increased gradually, and the average habitat quality increased accordingly. From 2000 to 2020, the habitat quality of the first-class terrain improved, while the habitat quality of the other class terrain showed a downward trend. The results are helpful to discover the spatiotemporal change process of habitat quality in Hubei Province, and provide theoretical support for biodiversity conservation and land use planning in Hubei Province.
作者机构：
[Zheng, Wensheng; Xiong, Yajun; Wang, Xuzheng; Wang, Xiaofang; Zhou, Ying] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Zheng, Wensheng; Wang, Xiaofang] China Tourism Acad, Wuhan Branch, Wuhan 430079, Peoples R China.;[Zheng, Wensheng] Cent China Normal Univ, Hubei High qual Dev Inst, Wuhan 430079, Peoples R China.
通讯机构：
[Wensheng Zheng] C;College of Urban and Environment Science, Central China Normal University, Wuhan, China<&wdkj&>Wuhan Branch of China Tourism Academy, Wuhan, China<&wdkj&>Hubei High-quality Development Institute, Central China Normal University, Wuhan, China
通讯机构：
[Yonglong Lu] S;State Key Laboratory of Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China<&wdkj&>State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
关键词：
Energy Modeling;Energy management;Energy policy;Energy resources
作者机构：
[Wang, Li; Zhou, Yong] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Wang, Li; Zhou, Yong] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Yong Zhou] K;Key Laboratory for Geographical Process Analysis & Simulation in Hubei Province, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
期刊：
Journal of Urban Planning and Development,2023年149(3):05023025 ISSN：0733-9488
通讯作者：
Zheng, WS
作者机构：
[Zheng, Wensheng; Zhou, Ying] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;[Li, Chenggu] Northeast Normal Univ, Sch Geog Sci, Changchun 130024, Peoples R China.;[Zheng, Wensheng] China Tourism Acad, Wuhan Branch, Wuhan 430079, Peoples R China.;[Zheng, Wensheng] Cent China Normal Univ, Hubei High Qual Dev Inst, Wuhan 430079, Peoples R China.;[Ma, Zuopeng] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China.
通讯机构：
[Zheng, WS ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;China Tourism Acad, Wuhan Branch, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Hubei High Qual Dev Inst, Wuhan 430079, Peoples R China.
摘要：
The governance of urban shrinkage has recently become an important topic for geographers and urban planners. However, a comprehensive exploration of the various spatial problems and governance paths in shrinking cities remains a huge gap in urban shrinkage governance literature. Building on the review and induction of extensive literature, this paper constructs a theoretical framework for the spatial governance of urban shrinkage from four perspectives: conceptual connotations, influencing factors, paths, and effects. By field investigation and policy interpretation, it takes Jixi City as a case, a coal-based shrinking city in China, to explore the policy response of the government and their effects. We find that the spatial governance of Jixi is a process of multisubject participation and multielement integration focusing on various spatial issues, which confirms the rationality of the analytical framework. Also, there are both similarities and differences in the spatial governance of urban shrinkage between Western countries and Chinese. This study enriches the theory of urban shrinkage governance, shows Chinese characteristics in urban governance, and provides governance enlightenment for other shrinking cities.
期刊：
Journal of Cleaner Production,2022年367:132922 ISSN：0959-6526
通讯作者：
Yong Zhou
作者机构：
[Wang, Li; Li, Qing; Zuo, Qian; Zhou, Yong; Liu, Jingyi; Liu, Yujie] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Wang, Li; Li, Qing; Zuo, Qian; Zhou, Yong; Liu, Jingyi; Liu, Yujie] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Yong Zhou] K;Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, 430079, China<&wdkj&>The College of Urban & Environmental Sciences, Central China Normal University, Wuhan, 430079, China
作者机构：
[Li, Mengyao; Wang, Li; Li, Qing; Zuo, Qian; Zhou, Yong; Liu, Jingyi; He, Nan] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Zhou, Yong] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Zhou, Yong] Cent China Normal Univ, Land Sci Res Ctr, Wuhan 430079, Peoples R China.
通讯机构：
[Yong Zhou] C;College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China<&wdkj&>Key Laboratory for Geographical Process Analysis & Simulation in Hubei Province, Central China Normal University, Wuhan 430079, China<&wdkj&>Land Science Research Center, Central China Normal University, Wuhan 430079, China
关键词：
Ecological security;Spatiotemporal variation;Driving mechanism;Enshi autonomous prefecture;Sustainable development
作者机构：
[Wang, Li; Li, Qing; Zuo, Qian; Zhou, Yong; Liu, Jingyi] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Wang, Li; Li, Qing; Zuo, Qian; Zhou, Yong; Liu, Jingyi] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Yong Zhou] K;Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
关键词：
CLUMondo model;Conflicts identification;Different development priority policies;Land use conflicts;Land use/land cover changes
期刊：
International Journal of Environmental Research and Public Health,2022年19(22):15040- ISSN：1661-7827
通讯作者：
Jie Xu<&wdkj&>Yong Zhou
作者机构：
[Li, Xigui] Hunan Agr Univ, Coll Landscape Architecture & Art Design, Changsha 410128, Peoples R China.;[Xiao, Pengnan; Zhou, Yong] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Xu, Jie] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China.;[Wu, Qing] Zhaoqing Univ, Tourism & Hist Culture Coll, Zhaoqing 526061, Peoples R China.
通讯机构：
[Jie Xu] A;[Yong Zhou] T;Authors to whom correspondence should be addressed.<&wdkj&>Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China<&wdkj&>The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China<&wdkj&>Authors to whom correspondence should be addressed.
关键词：
cultivated land multifunction;trade-off and synergy;function zoning;Jianghan and Dongting Lake Plain
