Review
Green & Sustainable Science & Technology
Doroteja Vidmar, Marjeta Marolt, Andreja Pucihar
Summary: In a digitalized environment, the combination of information technology and sustainability goals provides opportunities for positive change. IT can already be used to achieve sustainability goals and have infinite potential impacts in the future. The results of the study suggest that positive economic, social, and environmental changes can be achieved through the use of IT to identify unsustainable actions and facilitate positive change.
Review
Environmental Studies
Pratiwi, Budi H. Narendra, Chairil A. Siregar, Maman Turjaman, Asep Hidayat, Henti H. Rachmat, Budi Mulyanto, Suwardi, Iskandar, Rizki Maharani, Yaya Rayadin, Retno Prayudyaningsih, Tri Wira Yuwati, Ricksy Prematuri, Arida Susilowati
Summary: Tropical forests are diverse ecosystems with high biodiversity, but natural resource extraction activities like open-pit mining lead to land degradation. Reclamation efforts and science-based practices are necessary to restore these ecosystems.
Review
Green & Sustainable Science & Technology
Goizeder Blanco-Zaitegi, Igor Alvarez Etxeberria, Jose M. Moneva
Summary: This study analyzes the intellectual structure of biodiversity accounting and management through a systematic review of literature, providing insights into the thematic clusters and future research directions in the field.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Business
Lee Roberts, Abeer Hassan, Ahmed Elamer, Monomita Nandy
Summary: This paper presents the first systematic literature review on biodiversity and species extinction accounting publications, analyzing 40 articles from 2013 to 2020. The research found that research contributions peaked in 2018, legitimacy theory is the most applied theoretical framework, global studies and developed country specific research received the greatest attention, and content analysis is the preferred methodology. The paper provides potential opportunities for future research.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2021)
Review
Food Science & Technology
Yoshitaka Miyake, Masashi Tachikawa, Ryo Kohsaka
Summary: Cell-based meats have gained attention for their potential to improve sensory factors and address environmental issues associated with traditional livestock production. This review examined the current policies and frameworks for regulating and promoting cell-based meats in the European Union, Singapore, the United States, Israel, and Japan. The results revealed that regulations focus on safety assessments and display measures, while some countries also emphasize decarbonization and food security. However, challenges such as unclear communication and cultural perceptions need to be addressed for the successful development of cell-based meats.
FOOD RESEARCH INTERNATIONAL
(2023)
Review
Ecology
Rafael Ziegler, Josephine Balzac-Arroyo, Rick Hoelsgens, Sarah Holzgreve, Fergus Lyon, Joachim H. Spangenberg, Philipp P. Thapa
Summary: This paper reviews the research on social innovation and biodiversity and highlights its importance in addressing unsustainability. The findings suggest a strong focus on civic action for changing practices, with limited attention on policy-driven and consumer/producer-driven innovations. Furthermore, there is a lack of critical perspective on the negative or unintended consequences of social innovation. The paper proposes three focal areas for future research, practice, and policy: nature-based solutions, participatory governance, and technology for tackling biodiversity loss.
ECOLOGICAL ECONOMICS
(2022)
Article
Biodiversity Conservation
Jooel Rinne, Ritwik Kulkarni, Andrea Soriano-Redondo, Ricardo Correia, Enrico Di Minin
Summary: This study investigates the online trade of range-restricted and endemic reptile species from the Lesser Antilles. The results highlight the need for enhanced monitoring and conservation actions in countries such as Germany and the United States, where a significant number of advertisements were found.
DIVERSITY AND DISTRIBUTIONS
(2023)
Article
Computer Science, Information Systems
Laraib Aslam Haafza, Mazhar Javed Awan, Adnan Abid, Awais Yasin, Haitham Nobanee, Muhammad Shoaib Farooq
Summary: The paper discusses the study on the application of big data during the COVID-19 pandemic, conducts a systematic review of relevant literature, and highlights the technological advancements in the field. The research findings successfully address the nature of the COVID-19 crisis, providing a reference for the research community to further address the pandemic.
Review
Computer Science, Artificial Intelligence
Wallace Pereira Neves dos Reis, Giselle Elias Couto, Orides Morandin Junior
Summary: This paper provides a systematic literature review on the position control of AGVs, analyzing research patterns, gaps, and tendencies in the field. It identifies the control strategies used, the operating requirements of position accuracy, the validation methods of proposed controllers, and the technological tendencies revealed by the proposed solutions. The paper's contributions include an overview of the research area, analysis of research question topics, and a proposed research agenda.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Environmental Studies
Lakhpat Singh Rawat, Rakesh Kumar Maikhuri, Yateesh Mohan Bahuguna, Arun Kumar Jugran, Ajay Maletha, Nabi Kanta Jha, Prakash Chandra Phondani, Deepak Dhyani, Dalbeer Singh Pharswan, Sudhanshu Chamoli
Summary: The Himalayan ecosystem is globally significant for its ecological and socio-cultural diversity, as well as its ecosystem services that are crucial for human survival. However, unsustainable land-use practices caused by anthropogenic pressure, development practices, and climate change have seriously compromised the productivity and livelihoods of mountain communities. To address these issues, integrated land use planning, policy, and legislation are essential. A scientific framework was developed to improve the functionality of degraded land through planting selected tree species, resulting in improved survival, growth, and soil characteristics. The plantation activities also contributed to carbon sequestration and provided provisioning services for rural communities, reducing their workload. This study emphasizes interdisciplinary knowledge production, social learning, and policy implications for sustainable land management in the region.
Review
Computer Science, Artificial Intelligence
Dadi Ramesh, Suresh Kumar Sanampudi
Summary: Assessment in the education system is vital in determining student performance, with manual evaluation processes facing challenges like time consumption and reliability. Online examination systems have been developed as an alternative, especially for grading essays and short answers.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Review
Computer Science, Artificial Intelligence
Ling Tang, Jieyi Li, Hongchuan Du, Ling Li, Jun Wu, Shouyang Wang
Summary: This paper conducts a literature review on the full-scale use of big data in forecasting research, detailing the application of different data types and sources in various forecasting tasks, and offering insights into future prospects.
Review
Business
Christian Rammer, Nordine Es-Sadki
Summary: Obtaining indicators on firm innovation activities has long been a challenge in economic research. Traditional indicators such as R&D expenditures and patents provide an incomplete picture, while survey data suffers from various shortcomings. Recent attempts to use big data sources for firm-level innovation indicators have gained growing interest.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Review
Computer Science, Information Systems
Fauzia Khan, Mariana Falco, Hina Anwar, Dietmar Pfahl
Summary: Safety testing of Automated Driving Systems (ADS) is an important research topic with potential benefits in reducing traffic congestion, saving time, and minimizing accidents. Current research focuses mainly on multi-module driving systems, employing various testing methods and proposing custom solutions. However, there is a research gap in the lack of safety testing approaches integrating on-road testing with simulation testing.
Review
Computer Science, Information Systems
Hadeel Alsolai, Shahnawaz Qureshi, Syed Muhammad Zeeshan Iqbal, Sirirut Vanichayobon, Lawrence Edward Henesey, Craig Lindley, Seppo Karrila
Summary: Sleep is essential for learning, mental health, and normal activities. Automatic sleep analysis, using machine learning and feature extraction, can evaluate sleep quality. This study reviews the current state and challenges of automatic sleep data analysis.
Article
Ecology
Gabriela C. Nunez-Mir, Jonathan A. Walter, Kristine L. Grayson, Derek M. Johnson
Summary: The study found that seasonal temperatures are the primary drivers of local establishment rates of Lymantria dispar dispar L., especially winter temperatures in the northern parts of the transition zone. Additionally, the effects of some factors on waiting times to establishment varied across subregions.
ECOLOGICAL APPLICATIONS
(2022)
Review
Plant Sciences
Songlin Fei, Stephanie N. Kivlin, Grant M. Domke, Insu Jo, Elizabeth A. LaRue, Richard P. Phillips
Summary: First principles predict that there is a relationship between plant and mycorrhizal fungal diversity, but this relationship is inconsistent on larger scales, likely due to different relationships between different mycorrhizal fungal guilds and plant diversity, scale dependency, and lack of coordinated sampling efforts. Understanding the coupling between plant and mycorrhizal fungal diversity across scales is important for predicting the ecosystem consequences of species gains and losses.
Article
Environmental Sciences
Yi-Chun Lin, Jinyuan Shao, Sang-Yeop Shin, Zainab Saka, Mina Joseph, Raja Manish, Songlin Fei, Ayman Habib
Summary: LiDAR technology is advancing rapidly, providing valuable data for characterizing forest vertical structure. Comparative analysis of point clouds from different LiDAR systems helps select appropriate systems and tools for various research questions.
Article
Environmental Sciences
Sungchan Oh, Jinha Jung, Guofan Shao, Gang Shao, Joey Gallion, Songlin Fei
Summary: The forest canopy height model (CHM) is a crucial tool for analyzing forest stocking and its spatiotemporal variations. This study presents a high-resolution CHM generation method using U.S. Geological Survey (USGS) LiDAR data for the entire state of Indiana, USA. The accuracy of the CHM was validated through comparison with field-based height measurements. Furthermore, the resulting CHM can serve as critical baseline information for monitoring and management decisions, as well as the calculation of other key forest metrics.
Article
Biodiversity Conservation
Laureline Rossignaud, Mark O. Kimberley, Dave Kelly, Songlin Fei, Eckehard G. Brockerhoff
Summary: This study explores the applicability of the biotic resistance hypothesis in forest ecosystems and finds that native trees play a crucial role in preventing invasions by exotic species. Competitive interactions are primarily important at small scales, while habitat heterogeneity plays a predominant role at larger scales.
DIVERSITY AND DISTRIBUTIONS
(2022)
Article
Ecology
Jonathan Knott, Grant Domke, Christopher Woodall, Brian Walters, Michael Jenkins, Songlin Fei
Summary: This study analyzed two decades of forest plot data in the Great Lakes region of the eastern U.S. and found that shifts in forest communities have important implications for carbon dynamics. The carbon content of live trees varied with different communities, while the carbon content of standing dead trees was influenced by community composition and stand structure.
Article
Multidisciplinary Sciences
Yuhao Feng, Bernhard Schmid, Michel Loreau, David Forrester, Songlin Fei, Jianxiao Zhu, Zhiyao Tang, Jiangling Zhu, Pubin Hong, Chengjun Ji, Yue Shi, Haojie Su, Xinyu Xiong, Jian Xiao, Shaopeng Wang, Jingyun Fang
Summary: Multispecies tree planting can enhance tree growth in terms of height, diameter, and biomass, mainly due to interspecific complementarity. Consideration of factors such as leaf morphology and lifespan, stand age, planting density, and temperature can optimize the effectiveness of multispecies planting.
Article
Environmental Sciences
Aishwarya Chandrasekaran, Guofan Shao, Songlin Fei, Zachary Miller, Joseph Hupy
Summary: This paper presents a methodology for automated measurement of tree height and crown area in broadleaf tree plantations using unmanned aerial systems imagery. The analysis shows higher accuracy in tree measurements with the datasets derived from multi-rotor platform than with the fixed wing platform. The automated method can efficiently calculate tree-level biometric estimations for a large number of trees based on UAS-SfM derived images.
Article
Environmental Sciences
Tian Zhou, Renato Cesar dos Santos, Jidong Liu, Yi-Chun Lin, William Changhao Fei, Songlin Fei, Ayman Habib
Summary: LiDAR data plays a crucial role in forest inventory and management. This study compares three tree detection and localization approaches using LiDAR data from different platforms and with different characteristics. The results highlight the importance of considering data characteristics when selecting an appropriate method.
Article
Entomology
Samuel F. Ward, Eckehard G. Brockerhoff, Rebecca M. Turner, Takehiko Yamanaka, Lorenzo Marini, Songlin Fei, Andrew M. Liebhold
Summary: The unintentional transport of insects beyond their native ranges has increased with globalization, leading to higher propagule pressure in non-native ranges. This study investigated the interceptions of European spruce bark beetle in the USA from 1914 to 2008 and found that interceptions were not related to outbreak levels in the native range, but were inversely related to annual import volume. The abundance of this beetle in invasion pathways has recently decreased, possibly due to strengthened phytosanitary protocols.
JOURNAL OF PEST SCIENCE
(2023)
Article
Ecology
Jonathan A. Knott, Liang Liang, Jeffrey S. Dukes, Robert K. Swihart, Songlin Fei
Summary: In a 58-year common garden experiment, we tested the phenological sensitivity of northern red oak populations to temperature changes and whether these differences were associated with differences in productivity and survival. We found that spring leaf out consistently advanced in warmer years, but fall phenology was less responsive to temperature changes. Southern populations had larger shifts in phenology in response to springtime warming, but lower long-term survival. However, higher phenological sensitivity to spring warming was not strongly linked to increased productivity, and fitness was more closely linked to latitudinal gradients.
Article
Ecology
Qinfeng Guo, Anping Chen, Erin T. H. Crockett, Jeff W. Atkins, Xiongwen Chen, Songlin Fei
Summary: Gradient and scale are two key concepts in ecology and evolution that can jointly influence eco-evo patterns. While scale refers to the dimensional space of a specific issue, gradient measures the range of a variable. However, the role of changing gradients has received relatively little attention compared to changing scales. Evaluating the role of scale in ecological patterns should be done in conjunction with considering the underlying environmental gradients, as the difference between sampled and potential gradients can profoundly impact observed patterns and alter scale-gradient relationships.
Article
Plant Sciences
Dennis Heejoon Choi, Elizabeth A. A. LaRue, Jeff W. W. Atkins, Jane R. R. Foster, Jaclyn Hatala Matthes, Robert T. T. Fahey, Bina Thapa, Songlin Fei, Brady S. S. Hardiman
Summary: Moderate severity disturbances play a crucial role in ecosystem dynamics, but their effects on forest canopy structure and their changes over time are not well understood. This study used multi-temporal LiDAR data to examine the effects of three press disturbances and three pulse disturbances on temperate forest canopy structure. The research found that high intensity disturbances inhibited canopy height growth, while low intensity pulse disturbances facilitated it. Canopy complexity also mitigated the impact of disturbances on canopy structure over time.
JOURNAL OF ECOLOGY
(2023)
Article
Environmental Sciences
Tian Zhou, Radhika Ravi, Yi-Chun Lin, Raja Manish, Songlin Fei, Ayman Habib
Summary: This paper investigates the use of LiDAR units onboard UAV and Backpack MMSs for high-quality point clouds in accurate forest inventory. By optimizing trajectory enhancement, the spatial accuracy of the point clouds can be significantly improved, and forest inventory metrics can be derived. The results demonstrate the effectiveness of the proposed strategy in improving the quality of the point clouds.
Article
Environmental Sciences
Gang Shao, Songlin Fei, Guofan Shao
Summary: Accurate tree inventory is important for sustainable forest planting and management. In this study, a stepwise tree detection approach was proposed, using horizontal point density and vertical structure profiles. The study demonstrated that horizontal point density provides critical information to locate individual trees, while vertical structure profiles can identify spreading branches and deliquescent crowns.