Article
Biotechnology & Applied Microbiology
Marjan Asgari, Wanhong Yang, Mahdi Farnaghi
Summary: This study presents a parallel air quality prediction system that utilizes a spatiotemporal data partitioning method and a distributed machine learning algorithm to handle large and imbalanced air quality datasets. The system improves prediction accuracy and speed, providing rapid and reliable predictions for environmental health management.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2022)
Article
Plant Sciences
Mengjie Yan, Fangjie Mao, Huaqiang Du, Xuejian Li, Qi Chen, Chi Ni, Zihao Huang, Yanxin Xu, Yulin Gong, Keruo Guo, Jiaqian Sun, Cenheng Xu
Summary: This study investigated the resistance and resilience of two typical forest types in subtropical China, evergreen broadleaf forests (EBFs) and evergreen needleleaf forests (ENFs), to drought. The results showed that EBFs had stronger resistance and resilience to extreme drought compared to ENFs. These findings provide insights for forest protection and management under increasing frequency of drought events in the future.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Ecology
Guangliang Jia, Yulin Dong, Siyu Zhang, Xingyuan He, Haifeng Zheng, Yujie Guo, Guoqiang Shen, Wei Chen
Summary: This study investigated the spatiotemporal changes and drivers of ecosystem service trade-offs in different forest types using the Greater Khingan Mountains as an example. The results showed that trade-offs between habitat quality and net primary productivity (NPP), NPP and soil conservation exhibited an increasing trend, while trade-offs between habitat quality and water conservation, NPP and water conservation, and soil conservation and water conservation showed a declining trend. The ecosystem service trade-offs were higher in coniferous forests than in broad-leaved or shrub forests. The changes in trade-offs were spatially heterogeneous, and land use, NDVI, and other factors were identified as important drivers. Environmental factors contributed more to the trade-offs than anthropogenic activities.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2022)
Article
Ecology
Shahriar Abdullah, Mohammed Sarfaraz Gani Adnan, Dhrubo Barua, Md Mahbub Murshed, Zobaidul Kabir, Mohammad Barad Hossain Chowdhury, Quazi K. Hassan, Ashraf Dewan
Summary: The rapid decline in urban green and blue space in developing countries has led to a widespread degradation of available ecosystem services. This study examines the impacts of these changes on ecosystem services in some climate hotspots, using Landsat data to analyze patterns over the past 30 years. The results quantify the monetary loss of ecosystem services in five densely populated cities in Bangladesh, with notable variations between cities due to differences in anthropogenic activities. The findings highlight the importance of addressing urban green and blue space loss to maintain sustainable urban ecosystems.
ECOLOGICAL INFORMATICS
(2022)
Article
Forestry
Rongjian Mo, Yongqi Wang, Shulong Dong, Jiangming Ma, Yanhua Mo
Summary: This study assessed the ecosystem service values of Pinus massoniana plantation forests in southern China using multiple methods. The values of wood supply and carbon sequestration and oxygen release per hectare increased with the age of the plantation. The plantation area was divided into wood supply, ecological nourishment, and ecological restoration areas based on different service characteristics.
Article
Computer Science, Information Systems
K. C. Aman, Nimisha Wagle, Tri Dev Acharya
Summary: This study mapped land cover changes in Rupandehi District of Nepal from 2005 to 2020 using Landsat imagery and the Random Forest classifier on the Google Earth Engine platform. The research found that built-up areas had been increasing and more concentrated between two major cities, while other categories showed fluctuations or decreasing trends. The paper discusses the issues of land cover changes in developing regions and their impact on ecosystems.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Environmental Sciences
Xiangrui Meng, Kaili Pang, Ziyuan Yin, Xinpeng Xiang
Summary: Ozone pollution in China is increasing, with a need to characterize its spatiotemporal distribution. Statistical models based on machine learning offer improved accuracy, but data quality and fine scales can affect precision. Web-based environmental data shows promise in air quality modeling, especially at finer spatiotemporal scales.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Xiaohang Xu, Jie Yu, Feier Wang
Summary: A systematic understanding of the driving mechanisms and relationships of ecosystem services is crucial for successful ecosystem management. This study found that each ecosystem service had key driving factors, and the synergy and trade-off relationships between services were determined by the direction and intensity of these factors. Therefore, managing the dominant drivers is essential for improving the supply capacity of ecosystem services.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Theory & Methods
Weisheng Zhang, Zhibang Yang, Shenghong Yang, Mingxing Duan, Kenli Li
Summary: With the rapid increase in mobile device usage and the popularity of 5G communication technology, syncing Big spatiotemporal Data collected from different devices to distributed data centers is crucial. This paper proposes a lightweight synchronization scheme called SPsync, which optimizes the file processing strategy and utilizes Spark for distributed task optimization. Experimental results show that SPsync outperforms existing algorithms, achieving a 30% faster synchronization speed and 20% lower CPU usage. In multi-node scenarios, the algorithm itself is 20% faster with over 25% reduced CPU usage.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Biodiversity Conservation
Bin Zhang, Lu Li
Summary: This paper takes Shennongjia Forest Region as an example to quantitatively evaluate the spatiotemporal evolution characteristics of the regional ecosystem service value (ESV). The FLUS model is used to simulate the land use layouts and the spatial distribution characteristics of the ESV under different scenarios. The research results can provide reference for ecological environment protection and high-quality development in Shennongjia Forest Region and other National Nature Reserves.
ECOLOGICAL INDICATORS
(2023)
Article
Forestry
Honghong Yu, Jiameng Yang, Mengyuan Qiu, Zhiyong (John) Liu
Summary: This study constructed a comprehensive evaluation index system for forest ecological security using the Pressure-State-Response model. The research found that the comprehensive indices of FES of most provinces in mainland China were increasing, with significant spatial heterogeneity. The primary obstacles affecting FES improvement were related to forest state indicators and input response indicators.
Article
Forestry
Zhongfa Zhou, Lu Zhang, Tangyin Wu, Dan Luo, Lan Wu, Quan Chen, Qing Feng
Summary: Forests play a crucial role in maintaining the ecological balance and providing livelihood for humanity. This study focuses on karst regions, which face the challenges of ecological restoration and resident impoverishment. By using remote sensing and socio-economic methodologies, the research reveals significant improvements in forest rehabilitation and ecosystem service value due to compulsory forest conservation measures. The findings emphasize the importance of balancing ecological integrity and economic development for sustainable forest management in vulnerable landscapes.
Article
Environmental Sciences
Wanggi Jaung
Summary: This study used machine learning and big data analyses of global news articles to analyze changes in human-nature relations during pandemic outbreaks, emphasizing the importance of social-ecological systems in understanding indirect impacts. The study found that major pandemic impacts were linked to reduced use of cultural ecosystem services at a global scale, highlighting a challenge in adapting nature-based solutions to mitigate future pandemic risks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Winslow D. Hansen, Meg A. Krawchuk, Anna T. Trugman, A. Park Williams
Summary: Fire is a dominant disturbance in temperate and boreal biomes, and its increasing area with climate change may have a significant impact on forests. To better understand the feedback between fire-induced changes to forests and subsequent burning, a dynamic simulator called DYNAFFOREST was developed.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Biodiversity Conservation
Nan He, Yong Zhou, Li Wang, Qing Li, Qian Zuo, Jingyi Liu
Summary: This study analyzed the spatiotemporal dynamics of land use and ecosystem service value (ESV) in Hubei Province from 2000 to 2020. The results showed significant changes in land use, an fluctuating upward trend in ESV, and a decrease-then-increase pattern of coupling coordination degree (CCD) between land use intensity and ESV.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Tan Li, Xiang Gao
Article
Environmental Sciences
Tan Li, Qingguo Zhang, Ying Zhang
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2018)
Article
Agricultural Economics & Policy
Wang Xin, Song Yanping, Li Tan
Summary: The study found that small farmers with planting confidence are willing to pay for different environmental attributes of leguminous green manure, while those without planting confidence are only willing to pay for specific attributes. Various factors such as gender, age, education level, degree of part-time employment, and trend perception of environmental change were identified as key factors influencing small farmers' payment preferences.
INTERNATIONAL FOOD AND AGRIBUSINESS MANAGEMENT REVIEW
(2021)
Article
Forestry
Tan Li, BaoHang Hui, Le Zhu, Tianye Zhang, Tianyu Chen, Chong Su
Summary: This research proposes a novel method of using an auction price model to evaluate forest ecosystem services. The study finds that the willingness of farmers to accept payment for forest ecosystem service protection varies depending on the level of forest quality. Additionally, farmers' individual characteristics, household characteristics, planting characteristics, policy cognition, and ecological awareness also impact their expected compensation. This research provides valuable insights for the formulation of forest ecosystem protection policies and the promotion of sustainable forestry development.
Article
Environmental Sciences
Shengnan Li, Baohang Hui, Cai Jin, Xuehan Liu, Fan Xu, Chong Su, Tan Li
Summary: This study examines the heterogeneity of policy preferences and willingness to receive compensation among upstream and midstream farmers in the Xin'an River basin, China, regarding the watershed ecological compensation program. The results show significant differences in agricultural waste recycling rate and agricultural water quality preferences between upstream and midstream farmers. The study also finds that social network size has a negative impact on farmers' willingness to participate in the program. These findings have implications for improving PES management policies, supporting sustainable environmental development, and rural revitalization.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Studies
Yunyun Qi, Tianye Zhang, Jing Cao, Cai Jin, Tianyu Chen, Yue Su, Chong Su, Srikanta Sannigrahi, Arabinda Maiti, Shiqi Tao, Qi Zhang, Tan Li
Summary: Payments for ecosystem services (PES) aim to reduce the impact of human activities on eco-sensitive areas. Increasing farmers' participation is crucial for the success of PES programs and ecosystem restoration.
Article
Biodiversity Conservation
Jing Cao, Tan Li
Summary: In this study, the spatiotemporal characteristics and causes of land use and landscape pattern changes in the Four Ancient Cities of China were analyzed using the PLUS model. The results showed that urban expansion led to increased land use diversity and landscape heterogeneity, adversely affecting the landscape pattern of ecological land. Factors such as altitude, socioeconomic conditions, and land resource policies significantly impacted the spatiotemporal changes in these cities. Both the land use pattern and the landscape pattern will become more complex in the future.
ECOLOGICAL INDICATORS
(2023)
Article
Biodiversity Conservation
Tan Li, Yunyun Qi, Min Chen, Baohang Hui, Yue Su
Summary: This paper assesses the green innovation level of Hefei as a sub-center city and finds that sub-centers play a crucial role in promoting green innovation even outside the core area of an urban agglomeration. The study proposes policy recommendations based on these findings to realize global green innovation.
ECOLOGICAL INDICATORS
(2023)
Article
Economics
Tan Li, Yunyun Qi, Min Chen, Jing Cao
Summary: This study investigates the impact of Payments for Watershed Ecosystem Services (PWS) on the sustainable utilisation of cropland and crop security in Huangshan City. The findings show that the policy has effectively improved agricultural green total factor productivity (AGTFP) and encouraged crop stability and the sustainable development of arable land. The study suggests that similar policies can be extended to other agriculturally vulnerable regions for sustainable growth and crop security enhancement.
ECONOMIC ANALYSIS AND POLICY
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Ying Ge, Guoxing Xu, Qi Zhang, Xin Wang, Tan Li
Summary: Nature-based tourism provides important recreational ecosystem services for both local inhabitants and tourists. This study finds that tourists are more likely to pay for recreational ecosystem service attributes, especially for aesthetic attributes. Furthermore, tourists with more environmental knowledge and attitude are more willing to pay for reduced waste and lower tourist traffic.
JOURNAL OF OUTDOOR RECREATION AND TOURISM-RESEARCH PLANNING AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
