Yingjie Li

Dr. Yingjie Li

Stanford University, Stanford, California, USA
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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1 January 2020 in Nature
Verified
Journal Article
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ZXZhenci Xu
Zhenci Xu
SCSophia N. Chau
Sophia N. Chau
XCXiuzhi Chen
Xiuzhi Chen
JZJian Zhang
Jian Zhang
Yingjie LiYingjie Li
Yingjie Li
JLJianguo Liu
Jianguo Liu

25 March 2022 in Nature Communications
Verified
Journal Article
Open access
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GLGuangdong Li
Guangdong Li
Chuanglin FangChuanglin Fang
Chuanglin Fang
Yingjie LiYingjie Li
Yingjie Li
ZWZhenbo Wang
Zhenbo Wang
SSSiao Sun
Siao Sun
Xiaoping LiuXiaoping Liu
Xiaoping Liu
Rapid urban expansion has profound impacts on global biodiversity through habitat conversion, degradation, fragmentation, and species extinction. However, how future urban expansion will affect global biodiversity needs to be better understood. We contribute to filling this knowledge gap by combining spatially explicit projections of urban expansion under shared socioeconomic pathways (SSPs) with datasets on habitat and terrestrial biodiversity (amphibians, mammals, and birds). Overall, future urban expansion will lead to 11–33 million hectares of natural habitat loss by 2100 under the SSP scenarios and will disproportionately cause large natural habitat fragmentation. The urban expansion within the current key biodiversity priority areas is projected to be higher (e.g., 37–44% higher in the WWF’s Global 200) than the global average. Moreover, the urban land conversion will reduce local within-site species richness by 34% and species abundance by 52% per 1 km grid cell, and 7–9 species may be lost per 10 km cell. Our study suggests an urgent need to develop a sustainable urban development pathway to balance urban expansion and biodiversity conservation.

24 March 2022 in Nature Sustainability
Verified
Journal Article
Closed access
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XWXutong Wu
Xutong Wu
BFBojie Fu
Bojie Fu
Shuai WangShuai Wang
Shuai Wang
SSShuang Song
Shuang Song
Yingjie LiYingjie Li
Yingjie Li
JLJianguo Liu
Jianguo Liu

13 July 2020 in Nature Sustainability
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Journal Article
Closed access
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ZXZhenci Xu
Zhenci Xu
Yingjie LiYingjie Li
Yingjie Li
SCSophia N. Chau
Sophia N. Chau
TDThomas Dietz
Thomas Dietz
CLCanbing Li
Canbing Li
JLJianguo Liu
Jianguo Liu

17 November 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
ZXZhenci Xu
Zhenci Xu
XCXiuzhi Chen
Xiuzhi Chen
JLJianguo Liu
Jianguo Liu
YZYu Zhang
Yu Zhang
SCSophia Chau
Sophia Chau
YLYunkai Li
Yunkai Li
Irrigated agriculture has important implications for achieving the United Nations Sustainable Development Goals. However, there is a lack of systematic and quantitative analyses of its impacts on food–energy–water–CO2 nexus. Here we studied impacts of irrigated agriculture on food–energy–water–CO2 nexus across food sending systems (the North China Plain (NCP)), food receiving systems (the rest of China) and spillover systems (Hubei Province, affected by interactions between sending and receiving systems), using life cycle assessment, model scenarios, and the framework of metacoupling (socioeconomic-environmental interactions within and across borders). Results indicated that food supply from the NCP promoted food sustainability in the rest of China, but the NCP consumed over four times more water than its total annual renewable water, with large variations in food–energy–water–CO2 nexus across counties. Although Hubei Province was seldom directly involved in the food trade, it experienced substantial losses in water and land due to the construction of the South-to-North Water Transfer Project which aims to alleviate water shortages in the NCP. This study suggests the need to understand impacts of agriculture on food–energy–water–CO2 nexus in other parts of the world to achieve global sustainability.

22 September 2023 in Communications Earth & Environment
Verified
Journal Article
Open access
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ZWZhuangzhuang Wang
Zhuangzhuang Wang
BFBojie Fu
Bojie Fu
XWXutong Wu
Xutong Wu
Yingjie LiYingjie Li
Yingjie Li
YFYuhao Feng
Yuhao Feng
LZLiwei Zhang
Liwei Zhang
Recent concurrent processes of vegetation greening and reduced resilience (the capacity to recover from disturbances) worldwide have brought many uncertainties into sustainable ecosystems in the future. However, little is known about the conditions and extent to which greening affects resilience changes. Here we assess both vegetation dynamics and resilience in China’s Loess Plateau from 2000 to 2020 using satellite-based vegetation data and an early warning indicator. Our results reveal an overall greening trend in vegetated areas, while resilience shifted from gains to losses at a breakpoint in 2010. Vegetation greening generally contributed to resilience gains, whereas increased temperature and precipitation variability contributed to the resilience loss observed in 2011–2020. These findings provide empirical evidence that vegetation greening does not necessarily correspond to an increase in resilience. We therefore recommend integrating resilience indicators into ecological restoration and conservation efforts to gain a more comprehensive understanding of vegetation states and support effective ecosystem stewardship.