Article
Environmental Sciences
Zhiyuan Ma, Jinyu Gong, Chen Hu, Jingpin Lei
Summary: China has implemented forestry ecological development projects, improving the ecological environment. However, there is a lack of research on the contribution of ecosystems to the SDGs. This study constructs an assessment approach to evaluate the contribution of different ecosystem services to the SDGs and assesses their temporal and spatial dynamics in China from 2000 to 2020. The results show improvements in fractional vegetation cover, water provision, soil conservation, and food provision services, while carbon storage and biodiversity maintenance services declined. The contribution capacity of provincial ecosystems to the SDGs increased, except in Tibet, and there were spatial differences in contributions to the SDGs. The research results can support policy formulation and research on ecosystem services management and SDGs.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Review
Entomology
Roberta Moruzzo, Simone Mancini, Alessandra Guidi
Summary: The SDGs aim to achieve global peace and prosperity, with edible insects identified as a potential solution for sustainable development. Through insect farming, benefits such as food security and reduced environmental impact can be achieved, contributing to the realization of SDGs.
Article
Multidisciplinary Sciences
Dongliang Fan
Summary: This study compares the relationship between different NDVI and found that there is a significant correlation between NDVI of AVHRR and NDVI of MODIS, and between NDVI of VIRR and NDVI of AVHRR. The relationship between the three is NDVI of VIRR < NDVI of AVHRR < NDVI of MODIS. Machine learning, as an important method in artificial intelligence, is used to construct the Fengyun Satellite NDVI correction method. By using linear regression algorithm, the NDVI value of Fengyun Satellite VIRR is corrected to a level similar to NDVI of MODIS, significantly improving accuracy and product quality.
SCIENTIFIC REPORTS
(2023)
Article
Plant Sciences
Tiantian Chen, Qiang Wang, Yuxi Wang, Li Peng
Summary: Vegetation is crucial for the earth's surface system and its changes serve as an indicator of global climate change. This study used advanced methods to analyze the vegetation trends in China from 1982 to 2018. The results show that China experienced abrupt changes in vegetation growth in the 1990s and 2000s, with significant impacts on the entire country. Climate and human activities played important roles in driving these changes.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Environmental Sciences
Arsalan Ghorbanian, Ali Mohammadzadeh, Sadegh Jamali
Summary: This paper used two decades of remote sensing data to analyze the vegetation trends in Iran, revealing a higher rate of greening than browning across the country. The study also found a potential impact of precipitation dynamics and land cover on vegetation dynamics.
Article
Environmental Sciences
Fa Zhao, Guijun Yang, Hao Yang, Yaohui Zhu, Yang Meng, Shaoyu Han, Xinlei Bu
Summary: The study introduces a novel method combining DTW and LSTM models for winter wheat NDVI prediction, which improves prediction accuracy by reducing errors caused by overfitting. The combined method performs well in a case study in Hebei Province, demonstrating promising results for short and medium-term NDVI prediction.
Article
Soil Science
L. Gardin, M. Chiesi, L. Fibbi, L. Angeli, B. Rapi, P. Battista, F. Maselli
Summary: Recent research supports the prediction of soil water content through simplified soil water balance models fed with remotely sensed actual evapotranspiration estimates. An alternative model has been proposed in this paper, which can directly predict soil water content without specific soil information. The results suggest that the new simulation method performs similarly to the old method when driven by adequate soil feature information.
Article
Computer Science, Information Systems
Luis Ospina-Forero, Gonzalo Castaneda, Omar A. Guerrero
Summary: An increasing number of researchers and practitioners advocate for a systemic understanding of the Sustainable Development Goals (SDGs) through interdependency networks. However, the burgeoning network-estimation literature seems neglected by this community. Through a comparative study, we find important differences in the estimated network structures as well as in synergies and trade-offs between SDGs. Finally, we provide some guidelines on the potentials and limitations of estimating SDG networks for policy advice.
INFORMATION & MANAGEMENT
(2022)
Article
Agronomy
Jin Huang, Yang Shi, Bin Li, Mingyu Li, Ningfei Lei, Di Wu, Jin Tong, Ji Chen, Lihong Zhou, Qingwen Yang, Xiangjun Pei
Summary: This study aims to improve vegetation restoration capacity in the desertified area of the Zoige Plateau by using palygorskite fertilizers, bacterial fertilizers, and phytohormones. The addition of these additives significantly increased fractional vegetation cover and soil nutrient levels. Moreover, the soil microbial community in high FVC plots was enriched with functional bacteria associated with oxidation and amino metabolism.
Article
Green & Sustainable Science & Technology
Walter Leal Filho, Marina Kovaleva, Stella Tsani, Diana-Mihaela Tirca, Chris Shiel, Maria Alzira Pimenta Dinis, Melanie Nicolau, Mihaela Sima, Barbara Fritzen, Amanda Lange Salvia, Aprajita Minhas, Valerija Kozlova, Federica Doni, Jane Spiteri, Tanushka Gupta, Kutoma Wakunuma, Mohit Sharma, Jelena Barbir, Kalterina Shulla, Medani P. Bhandari, Shiv Tripathi
Summary: This study assesses the emphasis on gender issues in the implementation of the Sustainable Development Goals (SDGs) and proposes a new framework for analysis. It identifies specific SDGs that require more attention for successful gender implementation and provides recommendations for placing gender matters more centrally in the SDGs delivery.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Green & Sustainable Science & Technology
Sergej Lisowski, Jonas Bunsen, Markus Berger, Matthias Finkbeiner
Summary: The private sector plays a crucial role in achieving the SDGs, but there is a lack of practical methods to assess its impact and low implementation of SDGs into corporate strategies. This paper identifies influencing factors on SDG indicators and develops a method to quantify industry footprints on SDGs. The results show that the private sector has a high impact on the SDG indicators, with large industries having the highest footprints. The findings highlight the importance of responsibility in achieving SDGs and provide support for companies in decision-making and strategy implementation.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Acoustics
Fabiano A. N. Fernandes, Sueli Rodrigues
Summary: This review highlights the contributions of ultrasound technologies to fruit drying and its correlation with the United Nations Sustainable Development Goals (SDG). Different ultrasonic technologies used for fruit drying, their advantages, disadvantages, and limitations are discussed. The effects of ultrasound on water diffusivity in fruits, its impact on drying time and energy cost, and its potential for producing healthy foods are presented. Ultrasound-assisted fruit drying also contributes to reducing wastewater toxicity, improving energy consumption, and enhancing productivity, leading to potential improvements in workplaces and salaries.
ULTRASONICS SONOCHEMISTRY
(2023)
Article
Environmental Sciences
Xuyang Wang, Yuqiang Li, XinYuan Wang, Yulin Li, Jie Lian, Xiangwen Gong
Summary: China is facing serious desertification issues, but large-scale ecological restoration projects have been implemented to combat them. Research indicates that as desertification worsens, vegetation response to restoration efforts increases, with non-climatic factors driving the majority of the change. The effectiveness of the restoration projects varies across different desert regions, highlighting the need for more targeted or alternative ecological restoration approaches in certain areas.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Business
Hannah Smith, Roberta Discetti, Marco Bellucci, Diletta Acuti
Summary: This research examines the understanding and involvement of SMEs in the Sustainable Development Goals (SDGs) through face-to-face interviews and identifies power dynamics as a major obstacle to their implementation. The study provides actionable insights for SME managers on implementing SDGs and suggests a research agenda for institutions and stakeholders to facilitate the adoption of SDGs by SMEs.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Environmental Studies
Jingzhong Li, Xiao Xie, Bingyu Zhao, Xiao Xiao, Bing Xue
Summary: The quantitative and qualitative assessment of post-disaster vegetation damage and recovery in the core area of the Wenchuan earthquake is important for the restoration of natural ecosystems and the construction of human settlements in China. This study used time series analysis to determine the time of MODIS data and analyze the vegetation damage and restoration. The results showed that overall vegetation restoration was optimistic, with some areas even surpassing pre-disaster levels. The study contributes to the theoretical support for understanding the damage and recovery of vegetation in earthquake-affected areas.
Article
Meteorology & Atmospheric Sciences
Jing Sun, Kun Yang, Hui Lu, Xu Zhou, Xin Li, Yingying Chen, Weidong Guo, Jonathon S. Wright
Summary: This study comprehensively explores the effects of soil organic matter (SOM) on the hydrothermal state of the land-atmosphere system on the eastern Tibetan Plateau. The results show that SOM can improve the simulations by reducing cold and wet biases, increasing air temperature, decreasing humidity, and reducing precipitation. Including SOM in climate models not only improves the representation of atmospheric energy and water cycles, but also enhances the simulation of frozen soil evolution with increased confidence and reliability.
JOURNAL OF HYDROMETEOROLOGY
(2023)
Article
Water Resources
Kashif Jamal, Xin Li, Yingying Chen, Muhammad Rizwan, Muhammad Adnan Khan, Zain Syed, Prince Mahmood
Summary: This study utilized a novel multimodel ensemble mean bias-correction technique to correct the bias of seven CMIP6 GCMs outputs with reference to ERA5. The results show an increase in maximum and minimum temperature from 2015 to 2100, with a range of 1.5 to 5.4 ? and 1.8 to 6.8 ? respectively. Elevation-dependent warming is identified in Tmin, while the relationship in Tmax is projected differently under different scenarios from 2015 to 2100. This study provides insights on improving GCMs projections and has implications for future climate change impact studies.
JOURNAL OF WATER AND CLIMATE CHANGE
(2023)
Editorial Material
Environmental Sciences
Zhen Zhang, Benjamin Poulter, Andrew F. Feldman, Qing Ying, Philippe Ciais, Shushi Peng, Xin Li
Summary: Atmospheric methane concentrations are increasing, and recent studies using a process-based model show higher methane emissions from wetlands since 2007. The substantial increase in methane emissions in 2020 and 2021 contributed to record-high growth rates of atmospheric methane. Wetland methane emissions, as an uncertain feedback to climate change, amplify atmospheric methane concentrations. The findings emphasize the importance of continuous monitoring and observations of global wetland methane fluxes to understand emerging trends, variability, and underlying drivers.
NATURE CLIMATE CHANGE
(2023)
Article
Green & Sustainable Science & Technology
Li Wang, Fan Zhang, Guanxing Wang, Chen Zeng, Yao Chen, Xiaonan Shi, Handuo Tang, Guangju Zhao, Chongyu Xu, Xin Li
Summary: Soil erosion is a global environmental threat, especially in high-mountain areas affected by climate and vegetation changes. This study improved the RUSLE by developing a method to calculate snowmelt runoff erosivity and estimated the soil erosion rate in the upper Heihe River Basin. The results showed that vegetation cover played a dominant role in reducing soil erosion.
Review
Environmental Sciences
Xin Li, Min Feng, Youhua Ran, Yang Su, Feng Liu, Chunlin Huang, Huanfeng Shen, Qing Xiao, Jianbin Su, Shiwei Yuan, Huadong Guo
Summary: The concept of a digital twin of Earth combines Big Earth Data with physics-based models to enable monitoring and prediction of environmental and social changes. This review summarizes the advances in methodological and cyberinfrastructure in Big Data that have contributed to the progress towards a digital Earth twin. The integration of machine learning, causal inference, and reinforcement learning techniques is crucial for achieving a fully functional digital twin of Earth.
NATURE REVIEWS EARTH & ENVIRONMENT
(2023)
Article
Agronomy
Feng Han, Yi Zheng, Ling Zhang, Rui Xiong, Zhaoping Hu, Yong Tian, Xin Li
Summary: Drip irrigation is considered a solution to water conflicts in arid regions, but assessing its hydrological impacts is challenging. This study developed a new approach to simulate drip irrigation at a basin scale, using a fully distributed ecohydrological model. The study found that the water-saving efficiency of drip irrigation at the basin level was lower than at the field level. Fully implementing drip irrigation would alter the regional water balance, increasing stream outflow and depleting groundwater. Adjusting management parameters and implementing drip irrigation in part of the basin can alleviate this tradeoff.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Yongkang Xue, Ismaila Diallo, Aaron A. Boone, Yang Zhang, Xubin Zeng, William K. M. Lau, J. David Neelin, Tandong Yao, Qi Tang, Tomonori Sato, Myung-Seo Koo, Frederic Vitart, Constantin Ardilouze, Subodh K. Saha, Stefano Materia, Zhaohui Lin, Yuhei Takaya, Jing Yang, Tetsu Nakamura, Xin Qi, Yi Qin, Paulo Nobre, Retish Senan, Hailan Wang, Hongliang Zhang, Mei Zhao, Hara Prasad Nayak, Yan Pan, Xiaoduo Pan, Jinming Feng, Chunxiang Shi, Shaocheng Xie, Michael A. Brunke, Qing Bao, Marcus Jorge Bottino, Tianyi Fan, Songyou Hong, Yanluan Lin, Daniele Peano, Yanling Zhan, Carlos R. Mechoso, Xuejuan Ren, Gianpaolo Balsamo, Sin Chan Chou, Patricia de Rosnay, Peter J. van Oevelen, Daniel Klocke, Michael Ek, Xin Li, Weidong Guo, Yuejian Zhu, Jianping Tang, Xin-Zhong Liang, Yun Qian, Ping Zhao
Summary: This paper presents a new method for improving the prediction of summer droughts/floods in various regions around the world by utilizing information on spring land surface temperature/subsurface temperature anomalies over the Tibetan Plateau. The study shows that considering the effects of Tibetan Plateau LST/SUBT can account for 25-50% of observed precipitation anomalies in most hotspot regions. It also discusses the mechanisms behind the 2003 drought in the southern part of the Yangtze River Basin.
Review
Geosciences, Multidisciplinary
Jianbin Su, Duxin Chen, Donghai Zheng, Yang Su, Xin Li
Summary: The utilization of big Earth data has provided unprecedented insights into the planet we inhabit, and unraveling the concealed causal connections within intricate data is of paramount importance for a profound comprehension of the Earth system. Traditional correlation and regression methods are inadequate for addressing causation related problems, but advancements in causal theory and inference methods have demonstrated vigorous vitality in various research directions in the Earth system, such as regularities revealing, processes understanding, hypothesis testing, and physical models improving.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Meteorology & Atmospheric Sciences
Xu Zhou, Baohong Ding, Kun Yang, Jinmei Pan, Xiaogang Ma, Long Zhao, Xin Li, Jiancheng Shi
Summary: In this study, a snow cover fraction scheme and a shallow-snow albedo scheme are implemented to reduce the overestimations of surface albedo, snow cover fraction, snow water equivalent, and snow depth over the Tibetan Plateau. The evaluations show that these schemes effectively alleviate the cold biases in surface temperature and air temperature during the cold season in the study region. This work provides guidance for improving the snow-related physics in climate models and enhances the weather forecasting and climate prediction capabilities of the WRF model in the plateau region.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Environmental Sciences
Weiwei Ren, Xin Li, Donghai Zheng, Ruijie Zeng, Jianbin Su, Tinghua Mu, Yingzheng Wang
Summary: Due to the scarcity of observational data and the complex precipitation-runoff relationship, accurately predicting floods within data-scarce glacial river basins presents challenges. This study introduces an innovative hybrid model that combines multi-source remote sensing data, a physically based hydrological model, and machine learning techniques to improve flood prediction accuracy.
Article
Geosciences, Multidisciplinary
Lei Guo, Jia Li, Amaury Dehecq, Zhiwei Li, Xin Li, Jianjun Zhu
Summary: This study establishes a new inventory of surging glaciers in High Mountain Asia based on glacier surface elevation changes and morphological changes. The inventory reveals that surging glaciers account for 2.49% and 16.59% of the total glacier number and glacier area in High Mountain Asia, respectively. Surging glaciers are unevenly distributed in High Mountain Asia, with more frequent occurrences in the northwestern regions and fewer in the peripheral regions. Surging activity is more likely to occur in larger glaciers with longer length and wider elevation range, and surging glaciers often have steeper slopes compared to non-surging glaciers.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Environmental Sciences
Yang Su, Youhua Ran, Guoqing Zhang, Xin Li
Summary: This study utilized remote sensing data to analyze the changes in lake surface area in permafrost regions. The results show an overall increase in lake area, but also indicate that seasonal lake area can both increase and decrease. These changes are most pronounced in low-lying areas, high-density lake regions, and warm permafrost regions, suggesting the significance of thawing or disappearance of permafrost in driving lake changes.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Review
Geography, Physical
Shengtao Lan, Bin Cao, Yan Hu, Ziyong Sun, Rui Ma, Xin Li
Summary: Talus, a common landform in the mountain periglacial environment, has significant cooling effects. These effects are important for mitigating degradation of underlying permafrost. However, there is limited research and observation on the cooling effects of blocky debris in nature. Therefore, increased observations and process-based models are needed to better understand the extent of the cooling effects and its impact on the thermal regime of permafrost.
PERMAFROST AND PERIGLACIAL PROCESSES
(2023)
Article
Engineering, Environmental
Yibo Liu, Youhua Ran, Xin Li, Tao Che, Tonghua Wu
Summary: This study proposes a physics-informed deep learning framework for predicting permafrost ground temperature. The framework shows improved accuracy and efficiency compared to existing methods. Even with limited training data, the model's prediction accuracy remains stable.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Civil
Yu Jiang, Xiaolong Xu, Honghao Gao, Adel D. Rajab, Fu Xiao, Xinheng Wang
Summary: This paper introduces a lightweight blockchain called LBlockchainE for edge IoT-enabled Maritime Transportation Systems (MTS). By proposing a data placement strategy, using storage resource consumption as an influencing parameter, and selecting nodes with the least access and storage costs, LBlockchainE achieves secure storage of sensor data. Experimental results show that LBlockchainE has lower energy consumption and storage space compared to traditional blockchain systems, with significant improvements in time and battery power.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
