Article
Environmental Sciences
Yajun Wu, Yaoyi Wang, Xudong Zhang, Yunda Zhang, Guang Chen, Xingtao Zhang, Peng Ye, Jiawei Ji
Summary: This study improves the freeze-thaw vacuum method for sludge treatment by analyzing the spatio-temporal distribution relationship through numerical fitting of temperature change. The results show that the alternating freeze-thaw vacuum procedure substantially enhances dewatering and reduction of sludge, as well as improves its mechanical properties.
ENVIRONMENTAL RESEARCH
(2022)
Article
Construction & Building Technology
Subei Bu, Yanling Wang, Haiyan Wang, Fang Wang, Yufei Tan
Summary: A model considering the characteristics of particulate matter was developed to investigate the distribution and fate of phthalates in indoor environments. The study found that outdoor haze affects the concentration of indoor particles and DEHP, and the particle emission rate and frequency during cooking also affect the concentration of DEHP.
BUILDING AND ENVIRONMENT
(2022)
Article
Biodiversity Conservation
Alice Monnier-Corbel, Alexandre Robert, Yves Hingrat, Blas M. Benito, Anne-Christine Monnet
Summary: Habitat Suitability Index (HSI) derived from Species Distribution Model (SDM) has been used to infer or predict local demographic properties such as abundance for many species. However, the relationship between HSI and abundance has been a topic of debate, with some studies showing a lack of correlation. To better understand this relationship, we studied the temporal variation of HSI and abundance using data from a 10-year monitoring of a Houbara bustard population in Morocco. Our results showed a triangular relationship between local abundance and HSI, with the upper limit of abundance increasing with HSI. Additionally, sites with the highest HSI had the least variation in abundance. These findings provide empirical evidence supporting the importance of investigating the relationship between HSI and abundance using temporal variation.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Article
Computer Science, Artificial Intelligence
Yumei Sun, Chuanming Tang, Hui Luo, Qingqing Li, Xiaoming Peng, Jianlin Zhang, Meihui Li, Yuxing Wei
Summary: In this paper, a spatio-temporal joint-modeling tracker named STTrack is proposed for continuous object tracking in video sequences. The proposed method concentrates on the temporal connection of the object by employing a time-sequence iteration strategy (TSIS) and captures the spatio-temporal correlation of the object between frames using a novel spatial temporal interaction Transformer network (STIN). Experimental results demonstrate that STTrack achieves excellent performance on six tracking benchmark datasets while operating in real-time.
KNOWLEDGE-BASED SYSTEMS
(2024)
Article
Computer Science, Artificial Intelligence
Sarfraz Ahmed, Ammar Al Bazi, Chitta Saha, Sujan Rajbhandari, M. Nazmul Huda
Summary: With the increase in the use of Autonomous Vehicles on public roads, it is necessary for these vehicles to operate safely. While pedestrian detection has advanced in accuracy, pedestrian intent prediction still requires further research to reach human-level performance. This study presents a novel approach for multi-scale pedestrian intent prediction using 2D pose estimation and LSTM architecture. Experimental results on popular datasets show that the proposed technique outperforms state-of-the-art methods, achieving up to 94% accuracy while maintaining a comparable run-time.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Philip A. Tominac, Weiqi Zhang, Victor M. Zavala
Summary: This study extends market coordination to multi-product supply chains and analyzes their spatio-temporal economic properties using a graph representation. The proposed model captures geographical transport, time delays, and storage in a unified manner and establishes fundamental economic properties and bounds for space-time prices. A case study on organic waste utilization for biogas and electricity production illustrates the emergence of waste storage incentives and the dynamics of space-time prices.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Ecology
Megan R. Laxton, Oscar Rodriguez de Rivera, Andrea Soriano-Redondo, Janine B. Illian
Summary: The potential for statistical complexity in species distribution models has increased with computational power. Complex models can analyze ecological systems and messy data, but may be difficult to interpret. Founding model complexity in ecological theory can improve insights gained from SDMs. Evaluating a marked point process approach, this study discusses the role of model components and their impacts on predictions. Including complex components can account for spatio-temporal population dynamics not explained by environmental variables. However, the inclusion of certain temporal correlation structures may lead to unrealistic predictions, emphasizing the need for careful consideration of model complexity.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Environmental Sciences
Yanru Huang, Hua Lv, Yingying Dong, Wenjiang Huang, Gao Hu, Yang Liu, Hui Chen, Yun Geng, Jie Bai, Peng Guo, Yifeng Cui
Summary: This study constructed a mechanistic model of the dynamic distribution of fall armyworm (FAW) and simulated its potential distribution in China from February to August 2020. The results showed a significant linear relationship between the dates of the first simulated invasion and the first observed invasion of FAW. From February to April, FAW was mainly distributed in the Southwestern and Southern Mountain maize regions, while it rapidly spread and reached the Huanghuaihai and North China maize regions from May to June.
Article
Biodiversity Conservation
Femke Broekhuis, Nicholas B. Elliot, Kosiom Keiwua, Kelvin Koinet, David W. Macdonald, Niels Mogensen, David Thuo, Arjun M. Gopalaswamy
Summary: Resource pulses can influence cheetah densities and space-use, with differences observed between males and females. Male cheetahs are more influenced by resource distribution, while females are more influenced by resource abundance. Overall densities fluctuate seasonally but without a clear pattern in relation to resource pulses.
Article
Computer Science, Artificial Intelligence
Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu
Summary: This paper proposes a spatio-temporal evolution model called SNIPER for accurate traffic anomaly prediction. By designing spatio-temporal encoders, a temporally dynamical evolving embedding method, and an attention-based multiple graph convolutional network, it effectively addresses the challenges of imbalanced data distribution and heterogeneity of features, improving the accuracy of traffic anomaly prediction.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Optics
Dominik Kuehn, Alexander Treffer, Frank Wyrowski, Ruediger Grunwald
Summary: This study extends the basic approach of simultaneous spatio-temporal focusing of ultrashort pulses by superimposing two reciprocal sub-beams in a dual-channel stretcher-compressor setup. The spatial modulations of the symmetrized focal zones of few-cycle near-infrared pulses are investigated through parametric numerical simulations, and their relationships to specific ultrafast interference phenomena are addressed.
Article
Fisheries
J. J. Badger, S. Large, J. T. Thorson
Summary: Many economic sectors rely on marine ecosystem services, and integrated ecosystem assessments (IEAs) are necessary for holistic management and sustainable use. This study demonstrates the utility of spatially and temporally explicit ecological indicators in assessing ecosystem performance and identifying localized processes. The examples highlight the benefits of spatio-temporal methods for integrated ecosystem analysis in the northeast US Shelf Ecosystem.
ICES JOURNAL OF MARINE SCIENCE
(2023)
Article
Engineering, Industrial
Linlin Chen, Shuihua Han, Zhen Ye, Senmao Xia
Summary: This paper introduces a joint distribution function of demand based on time and space, constructing two spatio-time models: spatio-time clustering model and spatio-time optimization model. A staged clustering algorithm is used to obtain candidate FDCs, and an intelligent algorithm based on NSGA-II is applied to determine the final FDCs. The results show that the model considering the spatio-temporal attribute of demand outperforms traditional spatial models.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Biodiversity Conservation
Tam Tran, Melissa A. Prusinski, Jennifer L. White, Richard C. Falco, John Kokas, Vanessa Vinci, Wayne K. Gall, Keith J. Tober, Jamie Haight, JoAnne Oliver, Lee Ann Sporn, Lisa Meehan, Elyse Banker, P. Bryon Backenson, Shane T. Jensen, Dustin Brisson
Summary: Borrelia burgdorferi, the bacterium causing Lyme disease, has become the most common vector-borne disease in the United States over the past few decades. The study found that environmental features significantly affect the population dynamics of B. burgdorferi, and a model using field collections and environmental data accurately predicted the infection prevalence of the bacterium in tick vectors.
JOURNAL OF APPLIED ECOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Jingyu Wang, Yue Zhao, Ke Zhang, Qi Wang, Xuelong Li
Summary: In this paper, a novel spatio-temporal online matrix factorization (STOMF) method is proposed to detect multi-scale moving objects under dynamic background. The method combines exponential power distribution and low-rank matrix factorization framework, and introduces temporal difference motion prior model and partial spatial motion information post-processing method to improve detection performance.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Environmental Sciences
Guangliang Teng, Xianshi Jin, Caihong Fu, Lisha Guan, Yue Jin, Yunlong Chen, Tao Yang, Qi Ding, Xiujuan Shan
Summary: The distribution of Metridium senile fimbriatum (M. senile) is positively correlated with the distribution of seafloor litter, suggesting that accumulation of litter may contribute to the proliferation of M. senile.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Ali Jalali, Justin D. Bell, Harry K. Gorfine, Simon Conron, Khageswor Giri
Summary: Recreational fishing is a popular and economically important activity in Australia, with Port Phillip Bay in Victoria being a key marine recreational fishing area. Analyzing data from boat-based surveys over a 10-year period revealed differences in travel distances between regions and target species. Most anglers reside near PPB, but some travel long distances across the State, particularly when targeting snapper. This study highlights the importance of spatially explicit approaches in informing fisheries management and understanding angler travel patterns.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Egle Jakubaviciute, Freddie Heather, Giedre Visinskiene, Augustas Morkv, Harry Gorfine, Linas Lozys, Asta Audzijonyte
Summary: This article presents a newly digitized fish monitoring dataset for two major Lithuanian inland ecosystems – Curonian Lagoon and Kaunas Water Reservoir. The dataset includes a large number of historical and current records, and can facilitate ecological and fisheries analyses as well as population assessments of fish species.
Article
Oceanography
Yunlong Chen, Xiujuan Shan, Dingyong Zeng, Harry Gorfine, Yinfeng Xu, Qiang Wu, Tao Yang, Xianshi Jin
Summary: Acquiring a comprehensive and accurate understanding of habitat preference is crucial for species conservation and fishery management. This study used random forests to investigate the seasonal habitat suitability requirements for Tanaka's snailfish, and found that bottom temperature and salinity were important factors influencing its distribution. Additionally, the study evaluated the impact of false absence data on model performance.
ACTA OCEANOLOGICA SINICA
(2022)
Article
Environmental Sciences
Qingpeng Han, Xiujuan Shan, Xianshi Jin, Harry Gorfine, Yunlong Chen, Chengcheng Su
Summary: Understanding the distribution patterns of species in critical habitats is crucial for analyzing population dynamics and adaptive responses to environmental changes. This study investigated the spatio-temporal changes of small yellow croaker in the Bohai Sea from 1982 to 2018. The results showed a significant decrease in biomass and a northeastward shift in the center of gravity of the population. Multiple factors, including sea temperature, fishing pressure, and climate index, influenced the distribution patterns of small yellow croaker.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Fisheries
Justas Dainys, Harry Gorfine, Fernando Mateos-Gonzalez, Christian Skov, Robertas Urbanavic, Asta Audzijonyte
Summary: As recreational fishing becomes more popular, it is important to understand the number of anglers and their behavior. This study presents two novel methods, using drones and GPS devices, to monitor recreational fishing. The results show that both methods are accurate and have high potential for assessing fishing activities.
FISHERIES RESEARCH
(2022)
Article
Biodiversity Conservation
Yunlong Chen, Xiujuan Shan, Harry Gorfine, Fangqun Dai, Qiang Wu, Tao Yang, Yongqiang Shi, Xianshi Jin
Summary: Climate change is a significant factor influencing species distribution, making it essential to quantify its effects for effective fishery management. In this study, ensemble models were built to identify the geographical distribution pattern and future potential habitat areas for 22 important fish species in the Yellow and Bohai Seas. The models showed high accuracy and revealed salinity and temperature as the main environmental factors affecting fish distribution. Future projections indicated interspecific differences in the distribution of fishes, with range contractions predicted to outnumber expansions. The study provides a theoretical basis for predicting climate-driven range shifts and developing climate-adaptive management strategies in heavily impacted marine ecosystems.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Studies
Qi Ding, Xiujuan Shan, Xianshi Jin, Harry Gorfine, Lisha Guan, Tao Yang
Summary: As one of the key output control measures, the implementation of Total Allowable Catch (TAC) system has gained increasing emphasis in China's contemporary fisheries management policy. This study provides a detailed analysis of China's TAC policies and explores current challenges and future prospects for TAC implementation in China. The TAC policies in China can be divided into two stages with distinct characteristics, and several issues hindering successful implementation of TACs on a large scale were identified, such as inadequate legal liability, ineffective quota control and fish landings regulation, multi-species fisheries, challenges in fisher resettlement, and insufficient understanding of the role of TACs by fishers. Solutions to these problems were proposed to ensure the smooth implementation of TAC programs in China, integrating them within the existing fishery management system.
Article
Multidisciplinary Sciences
Harry Gorfine, Justin Bell, Michael Cleland, Khageswor Giri
Summary: Assessing the status of marine fish populations often relies on biased data reported by commercial fishers and recreational anglers. An alternative approach is to conduct independent population monitoring surveys to obtain more representative information on fish communities and habitats.
Review
Oceanography
Qingpeng Han, Xiujuan Shan, Harry Gorfine, Xianshi Jin
Summary: This study employed empirical dynamic modelling (EDM) to analyze the recruitment dynamics of Japanese anchovy in the Yellow Sea large marine ecosystem (YSLME). The results suggest that there are deterministic and bidirectional biological effects between the Japanese anchovy stock and its recruitment, with fishing pressure playing a decisive role in overall recruitment. Climate-related factors have a more localized impact on recruitment. The decline in Japanese anchovy biomass is mainly caused by overfishing, highlighting the importance of reducing fishing pressure for stock recovery.
PROGRESS IN OCEANOGRAPHY
(2023)
Article
Fisheries
Justas Dainys, Egle Jakubaviciute, Harry Gorfine, Mindaugas Kirka, Alina Rakleviciute, Augustas Morkvenas, Zilvinas Putys, Linas Lozys, Asta Audzijonyte
Summary: This study demonstrates that recreational fishing can have significant impacts on fish species recovery rates. It shows that the recovery of predatory species is slowed down by recreational fishing, while rarely caught species can rapidly recover. Recreational fishing can alter species composition and potentially change the state and dynamics of an ecosystem.
Article
Biodiversity Conservation
Tao Yang, Qingpeng Han, Harry Gorfine, Xiujuan Shan, Jeffrey S. Ren
Summary: This study developed a DEB-IBM model to investigate the energetics of the hairtail species and its population dynamics. The model was validated using historical data and used to simulate the effects of climate change and fishing efforts on the population performance. The findings suggest that the model can be a useful tool for informing management decisions for sustainable exploitation of the hairtail stock in the East China Sea.
CONSERVATION PHYSIOLOGY
(2022)
Article
Fisheries
Yongsong Zhao, Tao Yang, Xiujuan Shan, Xianshi Jin, Guangliang Teng, Chao Wei
Summary: The littoral zones are vital coastal habitats that provide valuable ecosystem services, and the primary producers, especially macroalgae, play a significant role in the benthic food webs.
Article
Ecology
Florian Lecorvaisier, Dominique Pontier, Benoit Soubeyrand, David Fouchet
Summary: Research has found that the use of vaccines that do not entirely block pathogen transmission may lead to the evolution of more virulent strains. High vaccine coverage favors the emergence and prevalence of avirulent strains, and competition between strains is crucial for the eradication of toxigenic strains when these vaccines are used.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Monica E. Barros, Ana Arriagada, Hugo Arancibia, Sergio Neira
Summary: The stock biomass of carrot prawn in the south-central area of Chile has decreased in the past 12 years, mainly due to fishing mortality. Predation mortality has been less studied and quantified, so it is important to estimate and compare predation and fishing mortality to understand their effects on fishing stocks. A food web model was built to analyze the biomass changes and evaluate the relative contribution of different mortality factors. The results showed that predation mortality was the main component of total mortality for carrot prawns and yellow prawns.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shubham Krishna, Victoria Peterson, Luisa Listmann, Jana Hinners
Summary: This study incorporated viral dynamics into an ecosystem model to investigate the effects of viruses on ecosystem dynamics under current and future climatic conditions. The results showed that the presence of viruses increased nutrient retention in the upper water column, leading to a reduction in phytoplankton biomass and transfer of biomass to higher trophic levels.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zahra Dehghan Manshadi, Parastoo Parivar, Ahad Sotoudeh, Ali Morovati Sharifabadi
Summary: This study demonstrates the importance of strategies such as limiting built-up areas, preserving green spaces, and protecting water resources on the urban carrying capacity in arid and semi-arid regions. Implementing a combination of policies aimed at enhancing urban green spaces and regulating water demand is found to be the most effective in terms of health and urban carrying capacity.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shay S. Keretz, Daelyn A. Woolnough, Todd J. Morris, Edward F. Roseman, David T. Zanatta
Summary: This study surveyed native freshwater mussels in the St. Clair-Detroit River system and found 14 live unionids representing 9 species. However, the model used to predict their presence in the main channels was not successful. The study also revealed characteristic differences between the St. Clair and Detroit Rivers.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zhengrong Zhang, Xuemei Li, Xinyu Liu, Kaixin Zhao
Summary: This study examines land use change in the Chinese Tianshan mountainous region using system dynamics and patch-generating land use simulation models. The results show an expansion in forest and construction land, a decline in grassland area, and an increase in cultivated land area from 2005 to 2020. By 2040, unused land, grassland, and water are expected to decrease while other land types increase, with construction land showing the most significant increase. The study provides insights for future ecological and environmental management in the region.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Amira Khelifa, Nadjia El Saadi
Summary: This paper develops an agent-based model to study malaria disease transmission, taking into account the interactions between hosts, vectors, and aquatic habitats, as well as their geographical locations. The simulation results highlight the significant role of aquatic habitats in infection transmission and disease persistence, and demonstrate the effectiveness of eliminating these habitats in limiting disease transmission.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Guillaume Peron
Summary: The theory for movement-based coexistence between species often overlooks small-scale, station-keeping movements. However, at this scale, there are many instances where positive correlations exist between species traits that are expected to be negatively correlated based on current theory. Through simulations, the researcher presents a counter-example to demonstrate that functional tradeoffs are not a necessary condition for movement-based coexistence. This study highlights the significance of species-specific space use patterns under the time allocation tradeoff hypothesis.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sandra Y. Mendiola, Nicole M. Gerardo, David J. Civitello
Summary: Research on the use of insect microbial symbionts as a means of controlling the spread of insect vectors and the pathogens they carry has made significant progress in the last decade. This study focused on the relative importance of simultaneous effects caused by a symbiont called Caballeronia spp. on the ability of squash bugs to transmit phytopathogenic Serratia marcescens. The researchers found that infection with Caballeronia significantly reduced pathogen titers and cleared S. marcescens in bugs, thus reducing the vectoring potential of these pests. The study also showed that maximizing symbiont prevalence in the vector population is crucial for effectively mitigating plant infections.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shirui Hao, Dongryeol Ryu, Andrew W. Western, Eileen Perry, Heye Bogena, Harrie Jan Hendricks Franssen
Summary: This study investigates the sensitivity of model yield prediction to uncertainties in model parameters and inputs using the Sobol' method. The results show that yield is more sensitive to changes in water availability and nitrogen availability, depending on soil, management, and weather conditions.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Nitika Mundetia, Devesh Sharma, Aditya Sharma
Summary: This study focused on assessing groundwater sustainability using different modeling approaches in a river basin in Rajasthan, India. The results showed a decrease in future groundwater recharge and emphasized the need for better management and conservation practices to achieve sustainable development goals.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sukdev Biswas, Sk Golam Mortoja, Ritesh Kumar Bera, Sabyasachi Bhattacharya
Summary: Bacteria play a crucial role in regulating the nutrient cycle of ecosystems, and maintaining a thriving bacterial population is essential for the sustainability of these environments. This study introduces the concept of cooperation as a group defense mechanism employed by bacteria and incorporates it into the functional response, offering a more comprehensive understanding of the complex tritrophic food chain dynamics. The results highlight the importance of a balance between strong group defense and moderate cooperation for bacteria sustainability and overall system stability.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
D. Z. M. Le Gouvello, S. Heye, L. R. Harris, J. Temple-Boyer, P. Gaspar, M. G. Hart-Davis, C. Louro, R. Nel
Summary: This study modeled the dispersal pathways and compared potential dispersal corridors of different sea turtle species in the Western Indian Ocean. The results showed that ocean currents play a major role in driving dispersal, with species and years exhibiting differences in dispersal patterns. Active swimming had little influence on dispersal during the first year.
ECOLOGICAL MODELLING
(2024)
Review
Ecology
Yingying Duan, Haina Rong, Gexiang Zhang, Sergey Gorbachev, Dunwu Qi, Luis Valencia-Cabrera, Mario J. Perez-Jimenez
Summary: Computing models are an effective way to study population dynamics of endangered species like giant pandas. This paper proposes a unified framework and conducts a comprehensive survey of computing models for giant panda ecosystems. Multi-factor computing models are more suitable for studying giant panda ecosystems.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Samantha Lai, Theophilus Zhi En Teo, Arief Rullyanto, Jeffery Low, Karenne Tun, Peter A. Todd, Siti Maryam Yaakub
Summary: Understanding the exchange of genetic material among populations in the marine environment is crucial for conservation efforts. Agent-based models are increasingly used to predict dispersal pathways, including for seagrasses. This study highlights the importance of considering both sexual propagules and asexual vegetative fragments when evaluating seagrass connectivity.
ECOLOGICAL MODELLING
(2024)