Yingmei Wu

Prof. Dr. Yingmei Wu


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 May 2022 in Environmental Research
Verified
Journal Article
Closed access
MWMin Wang
Min Wang
YWYang Wang
Yang Wang
YWYingmei Wu
Yingmei Wu
XYXiaoli Yue
Xiaoli Yue
MWMengjiao Wang
Mengjiao Wang
PHPingping Hu
Pingping Hu

BGBinpin Gao
Binpin Gao
YWYingmei Wu
Yingmei Wu
CLChen Li
Chen Li
KZKejun Zheng
Kejun Zheng
YWyan wu
yan wu
Land use change in urban agglomerations is gradually becoming a major cause and a key factor of global environmental change. As a consequence of the interaction between land use and ecological processes, the transformation in natural ecosystem structure and function with human activity disturbances demands a systematic assessment of ecosystem health. Taking the Central Yunnan urban agglomeration, undergoing transition and development, as an example, the current study reveals the typical land use change processes and then emphasizes the importance of spatial heterogeneity of ecosystem services in health assessment. The InVEST model-based ecosystem service assessment is incorporated into the ecosystem health evaluation, and hotspot analysis is performed to quantitatively measure the ecosystem health response degree to land use according to spatial latitude. The study had three major findings: First, the urban land expansion in the urban agglomeration of central Yunnan between 1990 and 2020 is the most significant. Further, the rate of the dynamic change of urban land is 16.86%, which is the highest among all land types. Second, the ecosystem health of the central Yunnan urban agglomeration is improving but with obvious spatial differences, showing a trend of increasing from urban areas to surrounding areas, with the lowest ecosystem health level and significant clustering in the areas where the towns are located. The ecosystem health level is mainly dominated by the two classes of ordinary and well grades, and the sum of the two accounts for 63.35% of the total area. Third, the process of land transfer, mutual transfer between forest and grassland, and conversion from cropland to forest land contributed the most to the improvement of ecosystem health across the study area. Furthermore, the conversion from cropland and grassland to urban land is an important cause of the sustained exacerbation of ecosystem health. Significantly, the study provides a scientific reference for maintaining ecosystem health and formulating policies for macro-control of land in the urban agglomerations of the mountain plateau.

16 September 2024 in Land
Verified
Journal Article
Open access
PDF file
P1PeiPei 1111
PeiPei 1111
LCLi Cansong
Li Cansong
BXBai Chuan Xia
Bai Chuan Xia
XZXiaoqing Zhao
Xiaoqing Zhao
YWYingmei Wu
Yingmei Wu
YCYi Chai
Yi Chai
Enhancing regional ecosystem stability and managing land resources effectively requires identifying ecological function zones and understanding the factors that influence them. However, most current studies have primarily focused on ecosystem service bundles, paying less attention to the trade-offs, synergies, and ecological sensitivity, leading to a more uniform approach to functional zoning. This study aimed to analyze and describe the spatial and temporal patterns of four essential ecosystem services, including water yield (WY), net primary productivity (NPP), soil conservation (SC), and habitat quality (HQ), in the Sichuan-Yunnan ecological buffer area over the period from 2005 to 2019. Spatial overlay analysis was used to assess ecological sensitivity, trade-offs, synergies, and ecosystem service bundles to define ecological functional zones. Geographic detectors were then applied to identify the primary drivers of spatial variation in these zones. The findings showed a progressive improvement in ecosystem service functions within the Sichuan-Yunnan ecological buffer zone. Between 2005 and 2019, NPP, soil conservation, and water yield all demonstrated positive trends, while HQ displayed a declining trend. There was significant spatial heterogeneity and distinct regional patterns in ecosystem service functions, with a general decrease from southwest to northeast, particularly in NPP and HQ. Trade-offs were evident in most ecosystem services, with the most significant between WY and HQ and most in the northeast and east regions. Ecological sensitivity decreased from southwest to northeast. Regions with a higher ecological sensitivity were primarily situated in the southwestern region, and their spatial distribution pattern was comparable to that of high habitat quality. The spatial overlay analysis categorized areas into various types, including human production and settlement zones, ecologically vulnerable zones, ecological transition zones, and ecological conservation zones, accounting for 17.28%, 22.30%, 7.41%, and 53.01% of the total area, respectively. The primary environmental factor affecting ecological function zoning was identified as precipitation, while the main social variables were human activity and population density. This study enhances the understanding of ecological functions and supports sustainable development in the Sichuan-Yunnan ecological buffer area, offering important guidance for ecological zoning.

10 May 2022 in Land
Verified
Journal Article
Open access
PDF file
MWMin Wang
Min Wang
Yang WangYang Wang
Yang Wang
YWYingmei Wu
Yingmei Wu
XYXiaoli Yue
Xiaoli Yue
MWMengjiao Wang
Mengjiao Wang
PHPingping Hu
Pingping Hu
The area with the highest concentration of carbon emission activities is construction land. However, few studies have been conducted that investigated the different effects of various types of construction land on carbon emissions and the extent of their impact. To address this shortcoming, this study constructed a multi-indicator evaluation system with 393 counties in Southwest China and integrated ordinary least squares and spatial regression models to deeply analyze the different impacts of construction land types on carbon emissions. The results revealed that (1) in Southwest China, carbon emissions were generally distributed in clusters, with significant spatial variability and dependence; (2) the distribution of urban land scale, rural settlement land scale, and other construction land scale all showed obvious spatial clustering differences; (3) all three types of construction land’s effect on carbon emissions was positive, and the direction of impact was in line with theoretical expectations; and (4) the other construction land scale had the highest effect on carbon emissions, followed by rural settlement land scale, while the urban land scale was slightly lower. The findings help to further explain the different impacts of construction land types on carbon emissions and provide theoretical references for the government to formulate more refined emissions reduction policies.