Article
Green & Sustainable Science & Technology
Xing Wang, Dequn Zhou
Summary: This study analyzed the data of 30 Chinese provinces using the spatial Durbin model, revealing obvious spatial disparities and clustering characteristics in China's environmental pollution. The study found a steady spatial agglomeration effect of environmental pollution among regions due to the correlation and similarity between economic units. Factors such as per capita GDP, technology, urbanization, and population were shown to have different influences on environmental pollution, with urbanization and foreign direct investment impacts varying significantly among regions and exhibiting a spatial transmission mechanism.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Marchela Pandelova, Bernhard Henkelmann, Joseph O. Lalah, Helge Norf, Karl-Werner Schramm
Summary: Sampling points in the Harz National Park river system in Germany were chosen for monitoring various pollutants in water, air, and sediment, with most concentrations found to be low. The distribution of chemicals in the environment was found to be influenced by fugacity.
Article
Environmental Sciences
Xuepeng Ji, Daoqin Tong, Lisha Cheng, Xiaowei Chuai, Xiyan Mao, Binglin Liu, Xianjin Huang
Summary: Citizen environmental complaints are crucial in China's environmental monitoring and governance system, especially in addressing air pollution issues. The hotspots of complaints are mainly located in national urban agglomerations and are positively associated with industrial wastewater and SO2 emissions.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Quantum Science & Technology
T. J. Barrett, W. Evans, A. Gadge, S. Bhumbra, S. Sleegers, R. Shah, J. Fekete, F. Orucevic, P. Kruger
Summary: The article describes a monitoring network used in multiple cold atom laboratories with a shared laser system, allowing for the diagnosis of malfunctions, unexpected or unintended behaviors, and passive data collection for key experimental parameters. This significantly reduces debugging time, enabling efficient control over multiple experiments and remote control when access is limited.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Environmental
Nenad M. Zaric, Simone Braeuer, Walter Goessler
Summary: This study determined arsenic concentrations and speciation analysis in honeybees for the first time, finding that the highest concentrations were near coal fired thermal power plants and urban regions. The most effective extraction method for total arsenic from honeybee samples was hot water at 90 degrees C. Inorganic arsenic accounted for the majority of arsenic species in honeybees, except in an industrial city where a significant portion was present as DMA.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Engineering, Mechanical
Shanshan Yu, Jian Zhang, Ziyang Su, Pengxu Jiang
Summary: This paper proposes a vision-based, robust real-time cable force measurement method, which addresses challenges such as complex backgrounds, illumination changes, occlusion, camera motion, and real-time realization. By optimizing the edge drawing lines operator, it solves the difficulty of cable edge recognition caused by complex backgrounds. The average of bilateral edge displacements is used to offset the displacement deviation caused by illumination changes. An interference frequency elimination method without reference targets or additional sensors is proposed to overcome obstacles in identifying the cable frequency caused by camera motion.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Biodiversity Conservation
Mohammad Javanbakht, Ali Darvishi Boloorani, Majid Kiavarz, Najmeh Neisany Samany, Lobat Zebardast, Mahdieh Zangiabadi
Summary: This study proposed a new approach for spatial-temporal mapping of UEQ based on Fuzzy logic, analytical network process, remote sensing imagery, and field-collected data. Sensitivity analysis showed a high reliability of the developed spatial temporal modeling for UEQ mapping in heterogeneous urban areas.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Faisal Azeem Abbassi, Mirajul Haq
Summary: This study uses spatial econometric techniques and the Spatial Durbin Model (SDM) to test the presence of beta-convergence in global Environmental Performance (EP). The findings indicate positive spatial autocorrelation in EP, suggesting that countries with similar EP are clustered together. The study also reveals that physical capital degrades the environment while break-even investment (BEI) improves it.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Multidisciplinary Sciences
Hao Yang
Summary: This study found a significant impact of environmental protection expenditure on the improvement of the ecological environment in neighboring regions, revealing a free-riding phenomenon in environmental governance. Additionally, increasing the levels of economic development, urbanization, environmental regulations, and industrial structure in the local region can effectively mitigate environmental pollution locally while possibly contributing to degradation in neighboring regions.
JOURNAL OF KING SAUD UNIVERSITY SCIENCE
(2021)
Article
Geochemistry & Geophysics
Taiping Yang, Ping Wang, Fuqi Si, Haijin Zhou, Minjie Zhao, Yuhan Luo, Zhen Chang
Summary: A method for calibrating the Environmental Trace Gases Monitoring Instrument (EMI) in-flight reflectance measurements is proposed in this study. The method compares the EMI reflectance data with simulation and corrects the reflectance data using correction coefficients obtained from clear observation situations. The results demonstrate the effectiveness of the developed method.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Xing Wang, Dequn Zhou
Summary: By conducting spatial analysis of data from 30 province-level units in China, it was found that environmental emissions exhibit significant spatial dependence and clustering, with per capita GDP and urbanization having positive impacts on emissions. Additionally, urbanization not only directly influences environmental emissions but also has an indirect impact.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Biology
Amanda T. Stahl, Alexander K. Fremier, Laura Heinse
Summary: Timely and policy-relevant monitoring data are crucial for evaluating environmental policies and conservation measures. Satellite and aerial imagery can efficiently fill data gaps at low cost but are often underused in ongoing environmental monitoring. Cloud computing platforms and online image repositories provide researchers with convenient access to resources, enhancing the efficiency of environmental monitoring.
Article
Biology
Simone Avesani, Eva Viesi, Luca Alessandri, Giovanni Motterle, Vincenzo Bonnici, Marco Beccuti, Raffaele Calogero, Rosalba Giugno
Summary: In this study, a new clustering method called Stardust was proposed, which can easily utilize spatial and transcriptomic information to improve clustering analysis. By analyzing ST datasets, the method showed excellent performance in clustering.
Article
Biochemical Research Methods
Christoph Stingl, Theo M. Luider
Summary: Chromatographic separation is crucial in mass-spectrometry-based proteomic analysis, and the software tool Peakfit can fit chromatographic data and report peak parameters, efficiently process large datasets, and detect outliers.
JOURNAL OF PROTEOME RESEARCH
(2021)
Article
Multidisciplinary Sciences
Yu Wang, Saleem Ahmad, Liaqat Ali Waseem, Sonia Akhter, Mokhchy Jihane
Summary: This paper investigates the connection between corporate social responsibility, research and development, tax policy, and the purchase of green bonds. It develops a theoretical framework to examine how tax competition affects environmental degradation. The empirical findings from Moroccan province panel data reveal the importance of the threshold impact of CSR and the regional variation in the impact of tax competitiveness. Policy suggestions are provided to assist Morocco in reducing environmental pollution through taxation.
Editorial Material
Ecology
Kurt Riitters
Article
Ecology
J. Wickham, K. H. Riitters
Editorial Material
Forestry
Qinfeng Guo, Kevin M. Potter, Frank H. Koch, Kurt H. Riitters
Editorial Material
Ecology
Jennifer K. Costanza, Kurt Riitters, Peter Vogt, James Wickham
Article
Ecology
Thais Almeida Lima, Rene Beuchle, Verena C. Griess, Astrid Verhegghen, Peter Vogt
Article
Forestry
Oswaldo Maillard, Roberto Vides-Almonacid, Marcio Flores-Valencia, Roger Coronado, Peter Vogt, Sergio M. Vicente-Serrano, Huascar Azurduy, Ruth Anivarro, Rosa Leny Cuellar
Article
Forestry
Kurt Riitters, Guy Robertson
Summary: The United States' implementation of the Montreal Process indicator of forest fragmentation has shown positive results in evaluating forest sustainability. Despite ongoing fragmentation issues, the rate of increase has slowed down. Research conducted pursuant to indicator implementation helps identify policy-relevant questions and focus research on these issues, while indicator reporting helps bridge the gap between science and policy at national and international scales.
Article
Forestry
Kevin M. Potter, Kurt Riitters
Summary: Genetic diversity is crucial for adaptation and resilience to environmental changes. However, addressing the indicator of forest species at risk of losing genetic variation in a systematic manner is challenging. This study combines two large-scale datasets to assess the risk of genetic variation loss in U.S. forest tree species. The findings highlight the potential risks in California and the Southeast regions.
Article
Forestry
Javier Velazquez, Derya Gulcin, Peter Vogt, Victor Rincon, Ana Hernando, Javier Gutierrez, Ali Ugur Ozcan, Kerim Cicek
Summary: Habitats undergo changes due to environmental processes and human impact, resulting in fragmentation and connectivity loss. To maintain ecological connectivity, it is important to identify elements that improve habitat connectivity. This study conducted in the Castilla y Leon region of Spain aims to determine optimal pathways and enhance the connectivity of protected areas.
Article
Ecology
Kurt Riitters, Jennifer K. Costanza, John W. Coulston, Peter Vogt, Karen Schleeweis
Summary: ContextPattern metrics derived from image processing and remote sensing are used as descriptors of landscape gradient texture. These metrics measure different aspects of texture by examining the frequencies of co-occurring pixel values on a map. In order to improve their interpretation and application in landscape ecology, several of these metrics are reformulated and interpreted using analogies to traditional metrics for categorical data.
Article
Multidisciplinary Sciences
Joachim Maes, Adrian G. Bruzon, Jose I. Barredo, Sara Vallecillo, Peter Vogt, Ines Mari Rivero, Fernando Santos-Martin
Summary: An assessment of forest ecosystems in Europe reveals that certain forest areas are undergoing degradation, resulting in reduced soil quality, sparse tree cover, and decreased species richness of threatened birds. This indicates the need for further restoration and improved management to restore forests to their natural state.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Studies
Kurt Riitters, Karen Schleeweis, Jennifer Costanza
