Article
Environmental Sciences
Ting Zhou, Xinghui Zhuang, Qiang Wang, Zibao Zhang, Jiale Liang, Daquan Chen, Qiqi Zhang
Summary: Over the past 40 years, the landscape ecological risk (LER) of the Qinghai-Tibet Plateau has been at a medium level with a fluctuating but decreasing trend. The western region of the plateau has higher LER compared to the eastern region. The findings are of significant importance for the prevention, control, and management of LER in the Qinghai-Tibet Plateau.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Changhong Hu, Shulin Xiao, Luyao Gao, Mingyang Liu
Summary: This study proposes a data-driven approach based on graph theory to analyze the evolution dynamics of air traffic systems. By analyzing 12-month traffic data from the United States, it is found that the structures and traffic mobilities of the American air traffic systems are stable. The American air traffic systems are robust to random airport failures but vulnerable to failures of hub airports according to the proposed cascading failure models.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Biotechnology & Applied Microbiology
Manya Luo, Tuansheng Li
Summary: The research revealed the spatial-temporal characteristics of landscape ecological quality in Yulin from 2000 to 2018, showing a trend of improvement, degradation, and enhancement. The improvement in ecological quality from 2000 to 2010 was attributed to the returning farmland to forest project, which increased vegetation coverage and reduced soil erosion. This study provides valuable information for ecological conservation and development in the region.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Agronomy
Xiaotao Huang, Buqing Yao, Xiang Liu, Chunbo Chen
Summary: This study investigated the temporal and spatial dynamics of carbon storage in the grasslands of Qinghai, China, using the Biome-BGCMuSo model. The results showed that vegetation carbon density has been increasing since 2000, mainly in the eastern and southeastern regions. Soil organic carbon density also showed a consistent increasing trend, mainly in the southeast and northeast parts of Qinghai.
Article
Computer Science, Artificial Intelligence
Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan
Summary: This paper proposes a Subgraph-Aware Graph Structure Revision network (SAGSR) that can capture spatial-temporal correlations and extract complex spatial-temporal graph features by revising the learned stable graph and using a gated multi-scale temporal convolution module.
Article
Ecology
Panagiotis Petsas, Vasiliki Almpanidou, Antonios D. Mazaris
Summary: Novel landscape connectivity indices were developed to evaluate habitat patch networks considering patch quality, connections, dispersal probabilities, and overall habitat availability. These indices identified critical patches and valuable features in ecological networks of different scales and species, offering flexibility and wide applicability in evaluating network connectivity.
Article
Engineering, Electrical & Electronic
Zhuo Tan, Yifan Zhu, Bin Liu
Summary: Earlier works on dynamic spatial-temporal data modelling used spatial-temporal factorized graph convolutional networks (GCNs), which lack joint spatial-temporal correlations. Subsequent research focused on constructing localized adjacent matrices, but their methods were usually heuristic and lacked interpretability. This study proposed a general framework using graph product to model dynamic spatial-temporal graph data, with a systematic method of constructing spatial-temporal adjacent graphs, improving interpretability and increasing the spatial-temporal receptive field. Experiment results on various real-world datasets demonstrated significant performance improvement compared to state-of-the-art methods.
Review
Ecology
Lea Uroy, Audrey Alignier, Cendrine Mony, Jean-Christophe Foltete, Aude Ernoult
Summary: This article provides an overview of existing methods for assessing the temporal dynamics of connectivity, highlighting two main approaches based on spatial dispersal and spatio-temporal dispersal. These methods offer indicators to advance understanding of biodiversity patterns and implement measures to conserve and restore connectivity.
Article
Computer Science, Artificial Intelligence
Zepeng Huai, Dawei Zhang, Guohua Yang, Jianhua Tao
Summary: Predicting multiple concurrent events has a remarkable effect on understanding social dynamics and acting in advance to reduce damage. This article proposes a spatial and temporal knowledge graph neural network (STKGN) to address the issues of spatial connection and temporal connection in event prediction. Experimental results show significant improvements over state-of-the-art methods and the interpretability of trans-regional implication.
Article
Radiology, Nuclear Medicine & Medical Imaging
Mahmoud H. Annaby, Asmaa M. Elwer, Muhammad A. Rushdi, Mohamed E. M. Rasmy
Summary: A melanoma detection approach combining graph-theoretic representations with conventional dermoscopic image features was proposed, utilizing superpixels as graph nodes and extracting features from both local and global scales. Different classifiers were trained and tested on datasets, achieving excellent detection performance with high AUC, accuracy, specificity, and sensitivity.
JOURNAL OF DIGITAL IMAGING
(2021)
Article
Neurosciences
Tetsuo Kida, Emi Tanaka, Ryusuke Kakigi, Koji Inui
Summary: The present study conducted a brain-wide network analysis using resting-state magnetoencephalograms from healthy participants. It visualized brain maps of phase- and amplitude-derived graph-theory metrics at different frequencies and revealed the frequency-dependent distribution of threshold-independent graph metrics. Additionally, the study found correlations between age and brain networks in certain regions, specifically in the beta band for source power and in the alpha band for amplitude-based degree.
HUMAN BRAIN MAPPING
(2023)
Article
Ecology
Barbara Heliodora Alves d'Acampora, Clarice Maraschin, Cleiton Guollo Taufemback
Summary: Urbanization in Brazil has expanded rapidly, negatively impacting the natural environment. Achieving sustainable development requires integrated research in the social and environmental spheres to find a balance. This study analyzes urban configuration and landscape ecology models and finds a lack of cohesion in the location and connection of green infrastructure in the study area.
ECOLOGICAL MODELLING
(2023)
Article
Engineering, Aerospace
Xiangyu Tian, Hongzhou Chai, Xiao Yin, Min Wang, Yang Chong, Yunfei Guo
Summary: The research focuses on verifying the reliability of the Global Ionosphere Map in the Qinghai-Tibet Plateau, studying the periodic, semiannual, and seasonal variations of the ionosphere, and discovering the winter anomaly phenomenon.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Multidisciplinary Sciences
Yujie Li, Cunjie Zhang, Zhenchao Li, Liwei Yang, Xiao Jin, Xiaoqing Gao
Summary: This study analyzed the temporal and spatial change characteristics of shallow soil temperature (ST) on the Qinghai-Tibet Plateau using observational data and reanalysis data. The results showed significant warming trend and regional differences in ST. The study is important for understanding ST evolution and land-atmosphere interactions on the Qinghai-Tibet Plateau.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Artificial Intelligence
Yibi Chen, Kenli Li, Chai Kiat Yeo, Keqin Li
Summary: With the development of social economy and smart technology, traffic forecasting has become a daunting challenge due to the explosive growth of vehicles, especially in smart cities. Existing methods exploiting graph spatial-temporal characteristics lack consideration of spatial position information and utilize limited spatial neighborhood information. To address this limitation, the Graph Spatial-Temporal Position Recurrent Network (GSTPRN) architecture is designed, which includes a position graph convolution module, approximate personalized propagation, and adaptive graph learning. Experimental evaluation on benchmark traffic datasets demonstrates the superiority of GSTPRN over state-of-the-art methods.
Article
Environmental Sciences
Meiqin Han, Gary Brierley
Summary: A geo-eco-hydrological approach was used to assess river condition in three anabranching reaches in the Source Zone of the Yellow River. While contemporary conditions closely resemble expected reference conditions, they are still subject to land use pressures which impact vegetation interactions. The best prospect for maintaining good river condition is to minimize anthropogenic disturbance and promote self-sustaining processes through passive management practices.
RIVER RESEARCH AND APPLICATIONS
(2021)
Article
Environmental Sciences
Yan Shi, Jay Gao, Xilai Li, Jiexia Li, Daniel Marc G. dela Torre, Gary John Brierley
Summary: This study evaluates the effectiveness of a commonly used visible band vegetation index in estimating aboveground biomass on the Qinghai-Tibet Plateau grasslands, and demonstrates that introducing mowing intensity ratio and bare ground metrics can improve estimation accuracy, especially for severely disturbed meadows.
Article
Geosciences, Multidisciplinary
Gary Brierley, Xilai Li, Kirstie Fryirs, Jay Gao, Yan Shi, George L. W. Perry, Carola Cullum
Summary: The careful development and application of place-based catenal models provide a framework for scientifically-informed approaches to environmental management. This study focused on the Source Zone of the Yellow River in western China and developed cross-disciplinary catenal models for alpine meadow and alpine steppe landscapes. These models identified critical drivers and processes that need to be conserved or managed to sustain ecosystem services and livelihoods in these areas.
Article
Ecology
Thomas R. Etherington, Fraser J. Morgan, David O'Sullivan
Summary: This study presents a binary space partitioning-based neutral landscape model that can generate hierarchical and rectilinear human-dominated landscapes. The method allows for control over the size, position, orientation, and shape of the rectilinear patches, and generates a tree that records the hierarchical patch structure.
Article
Ecology
Yan Shi, Jay Gao, Xilai Li, Jiexia Li, Gary Brierley
Summary: This field experiment investigates the impacts of grazing-simulated mowing and pika population on aboveground biomass in the Yellow River Source Zone. The results show that severe mowing has a stronger effect on aboveground biomass loss compared to severe pika disturbance, and the joint effects of both disturbances have the most significant impacts on aboveground biomass loss. However, pika disturbance has little effect on aboveground biomass change in moderate and non-mowed plots.
ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
Gary J. Brierley, Meiqin Han, Xilai Li, Zhiwei Li, He Qing Huang
Summary: A climate-induced vegetation gradient leads to significant variability in the character and behavior of anabranching reaches of the Upper Yellow River. The study shows that these reaches are in good condition in terms of geo-eco-hydrological aspects, and there has been a transformation from degradation to recovery in recent decades. Changes in land use practices, such as reduced stocking rates, and the establishment of reserves have contributed to environmental improvement. Furthermore, recent climate change has supported improvements in the geo-eco-hydrological conditions of the study reaches. The comprehensive environmental protection programs in the region enhance the resilience of landscapes and ecosystems to uncertain environmental futures.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2022)
Review
Geosciences, Multidisciplinary
Gary Brierley, Kirstie Fryirs
Summary: This article explores the use of geomorphological principles to inform sustainable nature-based river management. The current command-and-control philosophy of human authority over rivers is unsustainable and has detrimental consequences. The article presents "Truths of the Riverscape," including respecting diversity, cooperating with river processes, assessing river condition, and understanding evolutionary trajectory, as a platform for proactive and precautionary catchment management plans.
GEOSCIENCE LETTERS
(2022)
Article
Environmental Sciences
Gary Brierley, Li Xi-lai, Kirstie Fryirs, Gao Jay, Shi Yan, George L. W. Perry, Carola Cullum
Summary: Process interactions on catenas have supported grazing adapted ecosystems and sustained biodiversity values in the source zone of the Yellow River in western China for millennia. In recent decades, anthropogenic disturbance and climate change have threatened the integrity of these systems, impacting upon environmental values and their capacity to sustain local livelihoods. This paper relates the contemporary health of these grassland-wetland systems to their 'best achievable state' under prevailing boundary conditions, differentiating stages of degradation and recovery in relation to climate and land use changes.
JOURNAL OF MOUNTAIN SCIENCE
(2022)
Article
Anthropology
Guilherme Hissa Villas Boas, Monica Marcal, Gary Brierley
Summary: This study explores the controversies and conflicts surrounding the design and implementation of protected areas in tropical forests in Brazil. By applying an ethnogeomorphic perspective, the study reveals that externally imposed environmental protection areas fail to incorporate local farmer practices, resulting in a lack of understanding of the landscape being protected. The study suggests that ethnogeomorphic research that considers multiple readings of landscapes could promote more inclusive and locally informed conservation programs.
Article
Environmental Sciences
Gary J. Brierley, Daniel Hikuroa, Ian C. Fuller, Jon Tunnicliffe, Kristiann Allen, James Brasington, Heide Friedrich, Jo Hoyle, Richard Measures
Summary: Contemporary management practices in Aotearoa New Zealand have constrained river systems to support land use, which undermines the functionality, biodiversity, and socio-cultural relations with rivers. The confinement of rivers can increase flood risk and limit adaptation to climate change. Despite aligning with Maori conceptualizations of rivers and Treaty of Waitangi obligations, space-to-move interventions have yet to be implemented.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2023)
Article
Agronomy
Yan Shi, Jay Gao, Gary Brierley, Xilai Li, George L. W. Perry, Tingting Xu
Summary: This study assessed the performance of four models (MLR, SVM, ANN, and DNN) with different input combinations for alpine grassland AGB estimation. The results showed that FM had the most significant improvement on accuracy when combined with GV. MV, VT, and OT also improved the accuracy, with the highest accuracy achieved by DNN. The study presents an effective framework for modelling and mapping AGB in grassland, which contributes to determining sustainable grazing carrying capacity.
GRASS AND FORAGE SCIENCE
(2023)
Article
Ecology
Philip J. Lester, David O'Sullivan, George L. W. Perry
Summary: Gene drives have limited effects on the eradication of wasp pests, but they offer long-term and cost-effective methods of pest suppression and reduce predation pressure on native species.
ECOLOGICAL APPLICATIONS
(2023)
Article
Education & Educational Research
Douglas Mitchell, Emma W. Laurie, Richard D. Williams, Kirstie A. Fryirs, Gary J. Brierley, Pamela L. M. Tolentino
Summary: Capacity strengthening activities have become a requirement and means for researchers to demonstrate positive societal impacts. A study examines an international capacity strengthening course in the Philippines and identifies five key pedagogical factors for instructors to consider, including active learning, knowledge scaffolding, situated learning, language dynamics, and expertise and networking. The study recommends reflexive and adaptable practices for instructors to co-produce knowledge with participants before, during and after the course.
JOURNAL OF GEOGRAPHY IN HIGHER EDUCATION
(2023)
Article
Environmental Studies
Gary Brierley, Ian Fuller, Gary Williams, Dan Hikuroa, Alice Tilley
Summary: This article reviews perspectives on rivers in New Zealand, exploring whether they are wild or tamed entities. It argues that management practices have disconnected society from rivers, causing an environmental loss, particularly for indigenous Maori. The article suggests that reimagining wild rivers in New Zealand can be achieved by reconnecting with indigenous knowledge.
Article
Geography, Physical
Gary Brierley, Kirstie Fryirs, Monica Marcal, Raphael Lima
REVISTA BRASILEIRA DE GEOMORFOLOGIA
(2019)
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)
