Article
Forestry
Jackson P. Audley, Christopher J. Fettig, A. Steven Munson, Justin B. Runyon, Leif A. Mortenson, Brytten E. Steed, Kenneth E. Gibson, Carl L. Jorgensen, Stephen R. McKelvey, Joel D. McMillin, Jose F. Negron
Summary: The study identified factors influencing the fall rates of lodgepole pines killed by bark beetles, with slope aspect having the strongest influence. Northern aspects, increased canopy cover, and taller snag heights decreased the probability of snag fall, while southern aspects and increased height:dbh ratios increased the probability. The predicted half-life for snag fall was around 16 years since death, with a gradual decline in snag survival probability beyond that point.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Environmental Sciences
Anna C. Talucci, Garrett W. Meigs, Anders Knudby, Meg A. Krawchuk
Summary: Bark beetle outbreaks and wildfires are two significant disturbances in western North American forests, and this study investigates how fuel conditions influenced by mountain pine beetle outbreaks impact the probability of high burn severity in subboreal forests of central interior British Columbia. The study found that mixtures of live and dead vegetation created by variable beetle damage were influential in determining high-severity fire, in addition to weather conditions. These findings highlight the importance of considering both top-down and bottom-up factors, including the legacies of bark beetle outbreaks, in understanding and managing wildfires in the region.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Agriculture, Multidisciplinary
Di Lin, Gezi Li, Yaodi Zhu, Haitao Liu, Lantao Li, Shah Fahad, Xiya Zhang, Chang Wei, Qiujuan Jiao
Summary: The study demonstrated that the continuous wavelet transform technique significantly improves the prediction accuracy of chicory leaf Cu content, while seven effective wavelengths were identified for leaf Cu content prediction. The developed PLS model showed good predictive performance at different decomposition scales.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Forestry
Zach M. Smith, Kevin D. Chase, Etsuro Takagi, Aubree M. Kees, Brian H. Aukema
Summary: The study found that using ipsenol, an aggregation pheromone of Ips grandicollis, on jack pine logs can attract more Ips grandicollis compared to logs baited with pheromones of mountain pine beetle and host volatiles. The presence of lures for mountain pine beetle inhibits colonization by Ips grandicollis, while longhorn borers are more attracted to logs baited with ipsenol. These results suggest that common bark and woodboring species like Ips grandicollis and longhorn borers may not compete with mountain pine beetles at tree-colonizing stages, posing little resistance to invasion if mountain pine beetle were to invade the Great Lakes Region.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Forestry
Yujie Liu, Zhongyi Zhan, Lili Ren, Sangzi Ze, Linfeng Yu, Qi Jiang, Youqing Luo
Summary: The study investigated the impact of Pine shoot beetle (PSB) outbreaks on Yunnan pine mortality in southwestern China. By using manipulated insect infestation experiments, suitable monitoring indicators were identified to help detect PSB attacks early. The study found that spectral data and models could accurately identify different levels of damage, and models like PLSR and RF were effective in estimating crown chlorophyll(a+b), relative water content, and crown shoot damage ratios. The research provides insight into the physiological and spectral signatures of early PSB attacks on crowns, offering useful tools for unmanned aerial vehicle (UAV) and satellite remote sensing to detect PSB infestation at the early stages.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Plant Sciences
Gregory S. Pappas, Daniel B. Tinker, Monique E. Rocca
Summary: This study provides a comprehensive assessment of the changes in understory species and communities following severe mountain pine beetle-induced lodgepole pine mortality. The results show that more species appeared than disappeared 5 years after the peak of the outbreak, with new species comprising both early- and late-successional species. There was an increase in the number of highly common species and a decrease in the number of exceedingly rare species. Some species were able to take advantage of the new stand conditions and expand throughout the study area through various dispersal methods. Although shifts in community composition were minimal, there was a slight convergence of plant community groups, indicating a trend towards community homogenization.
JOURNAL OF VEGETATION SCIENCE
(2022)
Review
Ecology
D. C. Romualdi, S. L. Wilkinson, P. M. A. James
Summary: This meta-analysis aims to summarize available evidence regarding mountain pine beetle (MPB) and wildfire interactions, and identify environmental and methodological indicators associated with various wildfire responses. The study found that spatial scale, forest fuels, and weather are the main drivers of variation in wildfire response post-outbreak. These findings are crucial for wildfire and forest management agencies, especially in forests newly exposed to this disturbance interaction.
Article
Forestry
Curtis A. Gray, Chelsea Toone, Michael J. Jenkins, Sarah E. Null, Larissa L. Yocom
Summary: Mountain pine beetle outbreaks cause significant changes in fine surface fuels and foliar fuel moisture in whitebark pine trees, leading to differences in fuel depth and moisture content among trees with different crown conditions. The hazard of fuel availability varies across the landscape following beetle attacks.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Forestry
Benjamin A. Jones
Summary: The mountain pine beetle destroys millions of coniferous trees annually, leading to forest air pollution and impacting human health. Research shows that MPB-induced tree mortality results in additional deaths, emergency room visits, and hospital admissions per year, with high health costs associated with PM2.5 impact.
Article
Environmental Sciences
Su Ye, John Rogan, Zhe Zhu, Todd J. Hawbaker, Sarah J. Hart, Robert A. Andrus, Arjan J. H. Meddens, Jeffrey A. Hicke, J. Ronald Eastman, Dominik Kulakowski
Summary: Subtle changes driven by shifts in land condition or biological attributes lead to minimal alterations of the terrestrial surface, and accurate monitoring of these changes is crucial for early warning. An advanced framework called 'PIDS' was introduced to detect subtle forest disturbances using Landsat data, showing improved performance compared to other methods. This study has practical implications for detecting subtle changes in land cover using event-based reference samples.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Mechanics
Zahra Hajati, Antonia Musso, Zachary Weller, Maya Evenden, Jaime G. Wong
Summary: The Mountain Pine Beetle, a destructive pest in Western North America, has expanded its range and population due to climate change. Understanding its flight mechanics helps predict its spread. Research shows significant differences in flight performance between sexes and age groups of beetles.
Article
Ecology
David N. Soderberg, Karen E. Mock, Richard W. Hofstetter, Barbara J. Bentz
Summary: The study investigated the genetic and environmental adaptability of mountain pine beetles to climate change, finding that both populations could thrive in warmer climate conditions, with the highest reproductive success occurring in low-elevation areas, suggesting that southward migration may not be temperature limited.
ECOLOGICAL MONOGRAPHS
(2021)
Article
Forestry
Michael S. Watt, Ellen Mae C. Leonardo, Honey Jane C. Estarija, Peter Massam, Dilshan de Silva, Renelle O'Neill, David Lane, Rebecca McDougal, Henning Buddenbaum, Pablo J. Zarco-Tejada
Summary: Research on describing long-term water stress in radiata pine using hyperspectral imagery revealed key indicators and significant treatment differences after 108 DAT. Water indices showed stronger correlations with water stress compared to physiological index PRI and other structural indices.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Physics, Multidisciplinary
Chao Zhang, Yue Shi, Zhonghui Wei, Ruiqi Wang, Ting Li, Yubin Wang, Xiaoyan Zhao, Xiaohe Gu
Summary: In this study, a hyperspectral model was constructed using continuous wavelet transform and random forest algorithm to accurately estimate the soluble solid content of netted melons. The results showed that the decomposition of continuous wavelet transform improved the correlation coefficient and determination coefficient, further enhancing the stability and prediction ability of the model.
FRONTIERS IN PHYSICS
(2022)
Article
Geosciences, Multidisciplinary
Jianning Ren, Jennifer C. Adam, Jeffrey A. Hicke, Erin J. Hanan, Christina L. Tague, Mingliang Liu, Crystal A. Kolden, John T. Abatzoglou
Summary: The study reveals that the impact of mountain pine beetle outbreaks on water yield in watersheds is influenced by various factors, resulting in significant spatial and temporal variations. During wet years, water yield tends to increase with higher tree mortality rates, while in dry years, water yield decreases at lower to medium mortality rates but increases at high mortality rates.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Management
Yujing Chen, Yuanguang Zhong, T. C. E. Cheng
Summary: With the rapid development of e-commence, online shopping festivals have become increasingly important as sales drivers of online retail platforms in recent years. The selection of selling format is a key strategy for suppliers in these festivals. This study develops a model to analyze the optimal selling format selection for suppliers on online retail platforms, based on market structure and minimum quantity contract.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Yongjian Yang, Yunqiang Yin, Dujuan Wang, Joshua Ignatius, T. C. E. Cheng, Lalitha Dhamotharan
Summary: Humanitarian logistics often faces uncertainties in developing a rescue strategy for disasters. In this study, we propose a distributionally robust model (DRM) for the multi-period location-allocation problem in humanitarian logistics. The model is reformulated as a mixed-integer linear program and solved using a branch-and-Benders-cut algorithm. Numerical studies verify the algorithm's performance and demonstrate the value of the DRM in resource allocation decisions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Sarat Kumar Jena, Sidhartha S. Padhi, T. C. E. Cheng
Summary: Availability of working capital is a challenge for supply chain operation, especially for financially distressed manufacturers. This study analyzes the effects of supply chain finance programs, specifically reverse factoring and non-reverse factoring, on supply chain profit. The findings suggest that reverse factoring brings higher profits for manufacturers and retailers, while trade credit programs generate higher total supply chain profit when the market size is large. The preference for reverse factoring and non-reverse factoring over hybrid reverse factoring is also observed, despite similar total supply chain profit.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Xiaoping Xu, Luling Yan, Tsan-Ming Choi, T. C. E. Cheng
Summary: Blockchain technology has been widely applied in various industries, including remanufacturing. This paper explores the combination of remanufacturing and blockchain and proposes a supply chain model involving a manufacturer, a third-party firm, and an online platform. Through a game analysis, it is found that the optimal production quantities and collection rates increase with the allocated cap and platform-enabled power. Additionally, the adoption of blockchain depends on the emissions intensity.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Xiaoping Xu, Zhaofu Hong, Yujing Chen, T. C. E. Cheng
Summary: This study examines a supply chain consisting of a manufacturer and a platform. The platform has marketplace and reselling modes, and its power can influence market size and network effects. Customer dissatisfaction may lead to product returns within a specific period. With AI, the manufacturer's optimal profits increase in both marketplace and reselling modes. AI usage affects the manufacturer's profitability in different ways depending on network effects in the marketplace and reselling modes. Marketplace mode cannot effectively coordinate the supply chain, while reselling mode can. Several cases are considered to verify the robustness of the findings.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Business
Gang Li, Kaining Yan, Zelong Wei, T. C. Edwin Cheng
Summary: This article explores the link between servitization and customer loyalty, along with the joint effects of organizational practices on this link. Based on a sample of Chinese manufacturing firms, it is found that successful servitization implementation depends on the proper combinations of information technology tools and organizational culture, which positively impact customer loyalty.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Sutong Wang, Jiacheng Zhu, Yunqiang Yin, Dujuan Wang, T. C. Edwin Cheng, Yanzhang Wang
Summary: With the development of online real estate trading platforms, multi-modal housing trading data is being accumulated. In this study, an interpretable multi-modal stacking-based ensemble learning (IMSEL) method is proposed for accurate real estate appraisals. The predictive results show that IMSEL outperformed previous state-of-art methods in terms of various evaluation metrics. The research findings also have important managerial implications.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Computer Science, Artificial Intelligence
Lei Wu, Xunyan Jiang, Yunqiang Yin, T. C. E. Cheng, Xiutian Sima
Summary: This study develops a novel fusion method based on collaborative representation for multi-band remote sensing images, which enhances the fusion result by designing spectral preservation coefficient and intensity modulation coefficient.
INFORMATION FUSION
(2023)
Article
Engineering, Industrial
Jinzhao Shi, Dian Liu, Qiang Du, T. C. E. Cheng
Summary: This study examines the impact of procurement commitment contracts provided by retailers on the economic and environmental performance of supply chains. The research finds that retailers provide these contracts only when the supplier's gross margin is below a certain threshold, leading to Pareto improvement in the supply chain. However, the provision of these contracts hampers the carbon abatement performance of the supply chain.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Mostafa Khatami, Amir Salehipour, T. C. E. Cheng
Summary: The flow-shop scheduling problem considers the scheduling of tasks in a production line where each task has an exact delay. Finding the minimum makespan for the problem with distinct delays is strongly NP-hard, even for the two-machine case. However, for the two-machine permutation flow-shop case, a solution can be found in O(n log n) time. The problem becomes strongly NP-hard when there are more than two machines. The multi-machine case with delays following an ordered structure has a pyramidal-shaped property, and an O(n^2)-time dynamic program is proposed to solve it. The time complexity of the solution algorithm can be further improved to O(n log n) under certain conditions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Dujuan Wang, Jian Peng, Hengfei Yang, T. C. E. Cheng, Yuze Yang
Summary: In this paper, a distributionally robust optimization model (DROM) is proposed for emergency logistics in disaster relief management. The model considers uncertain demand and facility disruptions, and describes their distributions through ambiguity sets. Based on the adaptability and tractability of the ambiguity sets, the model is reformulated as a mixed-integer linear program. An exact algorithm based on Benders decomposition (BD) is proposed to solve the model, along with an in-out Benders cut generation strategy to improve the efficiency.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Yunqiang Yin, Dongwei Li, Dujuan Wang, Joshua Ignatius, T. C. E. Cheng, Sutong Wang
Summary: Increasing e-commerce activities have led to the need for efficient logistics distribution. To address this challenge, firms are exploring the use of drones for parcel delivery. We propose a truck-based drone delivery routing problem with time windows, where drones collaborate with trucks to serve customers within specified time frames. We develop an enhanced algorithm incorporating a bounded bidirectional labelling algorithm to solve the pricing problem, and perform extensive numerical studies to evaluate the algorithm's performance and provide managerial insights.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Shaohua Song, Elena Tappia, Guang Song, Xianliang Shi, T. C. E. Cheng
Summary: This study aims to optimize supplier selection and demand allocation decisions for omni-channel retailers in order to achieve supply chain resilience. It proposes a two-phase approach that takes into account various factors such as supplier evaluation and demand allocation.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Psychology, Multidisciplinary
Tzu-Ling Huang, Gen-Yih Liao, T. C. E. Cheng, Wei-Xuan Chen, Ching- Teng
Summary: This study applies expectancy-value theory to examine how gaming frustration, gamers' need for achievement, and the expectation of gaming advancement jointly shape in-game achievement satisfaction and increase actual game usage. The evaluation of success probability is found to prominently determine gamers' expected value, enhancing their continued use and gameplay. The study suggests that game makers should design challenging in-game tasks that elicit hope for future achievements to keep users engaged.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Management
Ting Zhang, Tsan-Ming Choi, Tai-Chiu (Edwin) Cheng
Summary: Social comparisons during the purchase of public products can affect firms' pricing, quality, and product-line strategies. Greater social-comparison benefit reduces price competition and increases profits, while higher social-comparison cost intensifies price competition and decreases profits. Product quality differences and product-line extension strategies are also influenced by social comparisons.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)