Article
Environmental Sciences
Xiaoai Dai, Yu Gao, Xuwei He, Ting Liu, Bohan Jiang, Huaiyong Shao, Yuanzhi Yao
Summary: Panzhihua City, located in a typical eco-fragile region in China, is facing worsening ecological problems such as soil erosion and groundwater pollution due to overdevelopment and activities in mining, agriculture, and animal husbandry. It is significant to scientifically understand how eco-environment changes and the driving mechanisms that affect Panzhihua City for protecting the eco-environment and planning construction.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Lifang Zhang, Chuanglin Fang, Ruidong Zhao, Cong Zhu, Jingyun Guan
Summary: Urban agglomerations are crucial for regional economic development, and the quality of their ecological environment is closely connected to economic growth and human development. The rapid urbanization in China has led to various ecological problems that endanger the country's sustainable development. Therefore, it is essential to study the changes in ecological quality in urban agglomerations for the development of sustainable human-land relations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Studies
Dong Li, Chongyang Huan, Jun Yang, Hanlong Gu
Summary: This study establishes an ecological vulnerability evaluation index system for Liaoning Province based on the sensitivity-resilience-pressure (SRP) conceptual model and evaluates the ecological vulnerability from 2010 to 2020. The results show that the ecological vulnerability in Liaoning Province is mainly light and gradually decreases from northwest to southeast. The study also forecasts the growing tendency of vulnerability in 2025. The analysis of driving factors suggests that natural environmental factors have a greater impact on ecological vulnerability than socio-economic factors.
Article
Biodiversity Conservation
Jie Huang, Pengshu Zhong, Jize Zhang, Long Zhang
Summary: Ecological problems are a key constraint to high-quality development in the Yellow River Basin, and understanding the spatial-temporal differentiation characteristics and driving factors of ecological resilience (ER) is crucial. This study evaluates the ER of 76 cities in the YRB using a three-dimensional ER evaluation index system and investigates the spatial-temporal evolutionary characteristics and drivers of ER. The results show that spatial differences in ER are narrowing, with economic development being a key factor. This study provides empirical evidence for comprehensively grasping ER development characteristics and developing ecological conservation strategies.
ECOLOGICAL INDICATORS
(2023)
Article
Development Studies
Jianying Wang, Qi Sun, Lilin Zou
Summary: With the continuous penetration of global networking and post-industrialism, studying the microscale evolution and driving mechanism of island rural space has become significant in promoting its reconstruction and revitalization. This study analyzed the dynamic mechanism of island rural spatial evolution using Beigang Village in China as an example. The findings showed drastic changes in production, living, and ecological spaces, driven by policy, capital, society, and organization. The study also emphasized the importance of tourism capital intervention and improving rural resilience to avoid spatial alienation and achieve rural revitalization.
HABITAT INTERNATIONAL
(2023)
Article
Forestry
Kai Su, Hongjun Liu, Huiyuan Wang
Summary: This study analyzed the change characteristics of ecosystem pattern, quality, and dominant services in the Loess Plateau Ecological Screen (LPES) from 2005 to 2015. The results showed that the ecosystem structure was stable, but the quality improved. Soil erosion situation improved overall, with grassland and forest playing important roles in soil conservation.
Article
Environmental Sciences
Hongjiao Qu, Yajing Yin, Wenwen Xing, Weiyin Wang, Cheng Zhou, Junli Li
Summary: This study investigates the spatiotemporal correlation and driving factors of chemical fertilizer supply and demand in China. The results reveal a stable network structure with fluctuations in the intensity of inter-provincial supply and demand. Chemical fertilizer-related policies and factors such as natural conditions and socioeconomic factors play significant roles in the formation and development of the supply and demand network. The identification of spatial characteristics provides insights for coordinating chemical fertilizer resources and promoting green agricultural development.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Biodiversity Conservation
Jieying Chen, Xiaohui Huang, Ye Jing, Zhiliang Wen, Chuanfu Zang
Summary: This study quantitatively clarified the evolution of ecological carrying capacity (ECC) in the Pan-Pearl River Basin (PPRB) using the pressure-state-response index system and ecological footprint method. The results showed that although rapid economic development in the PPRB led to resource consumption and environmental damage, the ECC and comprehensive ecological carrying capacity (CECC) are predicted to improve in the future. The ECC of Hunan Province decreased significantly during 2007-2010, while the ECC of Guangdong Province increased significantly during 2015-2019.
ECOLOGICAL INDICATORS
(2023)
Article
Biotechnology & Applied Microbiology
Manya Luo, Tuansheng Li
Summary: The research revealed the spatial-temporal characteristics of landscape ecological quality in Yulin from 2000 to 2018, showing a trend of improvement, degradation, and enhancement. The improvement in ecological quality from 2000 to 2010 was attributed to the returning farmland to forest project, which increased vegetation coverage and reduced soil erosion. This study provides valuable information for ecological conservation and development in the region.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Environmental Studies
Tao Li, Rui Bao, Ling Li, Mingfang Tang, Hongbing Deng
Summary: Climate change and human activities have altered the spatial patterns and functional elements of regional habitats. Understanding the spatiotemporal changes in habitat quality (HQ) and their driving factors is crucial for ecosystem health and biodiversity conservation. By analyzing land-use change intensity and utilizing spatial analysis models, we found that HQ has significantly improved in Southwest China from 1990 to 2015, with notable spatial heterogeneity in driving factors. Factors such as aboveground biomass, ecological land area ratio, and population density greatly influenced HQ spatial differences. The study highlights the positive effects of current ecosystem protection and management policies on HQ and provides important insights for sustainable land development and ecological restoration.
Article
Environmental Sciences
Yisong Ge, Chengzhi Li, Tai Zhang, Bin Wang
Summary: Habitat quality assessment using the InVEST model was conducted for the Tacheng region from 2000 to 2020, revealing slight improvement in habitat quality. Land use type conversion and precipitation were identified as significant factors affecting habitat quality. The study emphasized the importance of appropriate measures and sites in ecological restoration projects based on the temporal and spatial changes in habitat quality.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Wei Jiang, Bojie Fu, Guangyao Gao, Yihe Lv, Cong Wang, Siqi Sun, Kai Wang, Stefan Schueler, Zhongguo Shu
Summary: Ecosystem services (ES) are the benefits people obtain from ecosystems, and quantifying the changes in ES and their relationships with driving factors is a research hotspot. This study uses a social-ecological system framework and path analysis model to quantify the spatial-temporal variations in ES and driving factors in the West Liao River Basin. The results confirm the differential effects of driving factors on ES changes and identify the quantitative relationships between different ES.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Xuantian Li, Puxia Wu, Claudio O. Delang, Qilin He, Fengbao Zhang
Summary: The investigation on the concentrations of nutrients and heavy metals in sediments from the Weihe River revealed a decreasing trend over the years, with higher values concentrated in urban areas. The results of ecological risk assessment indicated that most pollutants originated from external sources, while heavy metals were significantly influenced by anthropogenic activities.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Information Systems
He Huang, Zheni Zeng, Danya Yao, Xin Pei, Yi Zhang
Summary: This study proposes a spatial-temporal ConvLSTM model for predicting driving intentions from a bird's-eye view. The model is applied in urban road scenarios and successfully models the influence and spatiotemporal relationship of surrounding vehicles.
TSINGHUA SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Studies
Junyi Su, Renfei Zhang, Minghao Wu, Ruiying Yang, Zhicheng Liu, Xiaoming Xu
Summary: In this study, the changes in landscape patterns and habitat quality in the Yongding River floodplain from 1967 to 2018 were evaluated. The results showed that the landscape pattern was dominated by arable land and forestland while construction land expanded. The landscape tended to fragmentation and complexity increased. Habitat quality was generally above medium level, but low-quality areas increased. There was a strong correlation between habitat quality and the Aggregation Index, Diversity Index, and water and forestland area.
Article
Physics, Multidisciplinary
Yong Fan, Guangming Yu, Zongyi He, Hailong Yu, Rui Bai, Linru Yang, Di Wu
Article
Engineering, Civil
Guangming Yu, Xiaoxu Chen, Zhenfa Tu, Qiwu Yu, Yu'an Liu, Hailong Yu
WATER RESOURCES MANAGEMENT
(2017)
Article
Green & Sustainable Science & Technology
Lili Xu, Zhenfa Tu, Yuke Zhou, Guangming Yu
Article
Construction & Building Technology
Guangming Yu, Mengxing Li, Lili Xu, Zhenfa Tu, Qiwu Yu, Daman Yang, Xueqing Xie, Yi Yang
SUSTAINABLE CITIES AND SOCIETY
(2018)
Article
Agronomy
Qiwu Yu, Zhenfa Tu, Guangming Yu, Lili Xu, Daman Yang, Yi Yang
AGRICULTURAL AND FOREST METEOROLOGY
(2018)
Article
Environmental Sciences
Hailong Yu, Zhenfa Tu, Guangming Yu, Lili Xu, Hongzhi Wang, Yi Yang
REGIONAL ENVIRONMENTAL CHANGE
(2020)
Article
Environmental Sciences
Lili Xu, Zhenfa Tu, Jian Yang, Chenlei Zhang, Xiaoxu Chen, Yinxue Gu, Guangming Yu
Summary: This study proposed a novel water pricing model, the Water Price at Grid-scale (WPG) model, which dynamically allocates water prices to fine grids for urban residents, spatially determining three different tiers of water prices. The results proved that the WPG model can more accurately price water resources than the current system, and has the potential to alleviate water shortage pressure and be integrated into smart city networks for efficient water resource management.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Proceedings Paper
Geosciences, Multidisciplinary
Lili Xu, Guangming Yu, Zhenfa Tu, Yuke Zhou
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
(2017)
Article
Development Studies
Yong Fan, Guangming Yu, Zongyi He
HABITAT INTERNATIONAL
(2017)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)