Article
Environmental Sciences
Julian Wittische, Scott Heckbert, Patrick M. A. James, A. Cole Burton, Jason T. Fisher
Summary: Anthropogenic landscape disturbances have negative impacts on habitat and biodiversity, with predators being more affected by human features than natural habitat. Linear and non-linear anthropogenic disturbances have different effects on prey and predators, highlighting the importance of considering the dynamics of the entire mammal community in biodiversity conservation efforts.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Ecology
Swapan Kumar Sarker, Richard Reeve, Jason Matthiopoulos
Summary: The study proposes a novel synthesis by integrating a Bayesian hierarchical model to forecast productivity and stress in an ecosystem, applied in the world's largest mangrove forest. It reveals that tree species under stress show typical functional responses to environmental drivers, with reduced traits related to resource acquisition and enhanced traits related to resource conservation.
ECOLOGICAL MONOGRAPHS
(2021)
Article
Ecology
Indre Zliobaite
Summary: The study proposes leveraging recommender systems from machine learning to build community distribution models for the mammalian fossil record, aiming to predict relative abundances of fossil species and analyze the structure and dynamics of past ecosystems. The potential of this approach is demonstrated in a case study of Miocene fossil sites in Europe.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
Jenni Niku, Francis K. C. Hui, Sara Taskinen, David Warton
Summary: The study focuses on analyzing the interaction between environmental variables and species trait variables in ecological community studies, specifically utilizing the fourth-corner model to account for these interactions. A proposed fourth-corner latent variable model is introduced to better capture the correlation between species, environment-trait interactions, and species-specific random slopes. Simulation results indicate that the proposed model performs well in testing for interaction coefficients, showing a lower risk of inflated Type I error compared to other available models.
Article
Mathematics
Yongho Lee, Taesu Cheong
Summary: This study extends the newsvendor model to address customer balking and its penalty under service-level constraints. The model designed in this study determines the optimal order quantity to derive the maximum expected profit when a customer is reluctant to buy a product and the available inventory falls below a certain threshold, and the service level is introduced into the procedure to determine the optimal order quantity, thus facilitating the process.
Article
Energy & Fuels
Valeria Casalicchio, Giampaolo Manzolini, Matteo Giacomo Prina, David Mose
Summary: This paper develops an integrated method for the implementation of a linear bottom-up optimization model to address different aspects of energy communities. A case study is conducted to verify the effectiveness of the method, and the results show that Demand Side Management and the composition of the energy community have significant impacts on overall investment and energy consumption. The introduced fair distribution method ensures a proper economic return for each participant.
Article
Computer Science, Information Systems
Rubi Rana, Kjersti Berg, Merkebu Z. Degefa, Markus Loschenbrand
Summary: This paper aims to investigate and explore the holistic modelling and simulation approaches of local energy communities (LEC) to assess the implications of LEC integration for the distribution grid and wider society. By considering different layers of market, controller, and grid, a comprehensive understanding of LEC operation can be achieved.
Article
Transportation Science & Technology
Fotios A. Katsigiannis, Konstantinos G. Zografos, Jamie Fairbrother
Summary: A new tri-objective slot allocation model (TOSAM) has been proposed, considering total schedule displacement, maximum schedule displacement, and demand-based fairness. Computational results suggest that systematically considering interactions among objectives at different levels of the slot hierarchy results in improved overall schedule-wide slot scheduling performance.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Biodiversity Conservation
Jing Yang, Dong Yan, Qiuju Yang, Shouhe Gong, Zimo Shi, Qijun Qiu, Shunlin Huang, Shengfu Zhou, Maolin Hu
Summary: This study investigated the fish resources in the Fuhe River Basin, Jiangxi Province, China, and found that most fish populations in the area consist of mountain-stream species inhabiting middle-lower reaches. Several threatened species were identified, and typical species within specific groups were found to be the most distinct and dominant in their community.
GLOBAL ECOLOGY AND CONSERVATION
(2021)
Article
Forestry
Jessica Thalheimer de Aguiar, Pedro Higuchi, Ana Carolina da Silva
Summary: The study investigated the environmental niche for three Myrtaceae species in the Brazilian Subtropical Atlantic Forest, determining that the species' geographic distribution were fundamentally determined by temperature and rainfall regimes. Only C. xanthocarpa and M. guianensis showed environmental niche equivalence. Myrcia species exhibited high climatic niche amplitudes occurring throughout the climatic gradient, while C. xanthocarpa was more subtropical, distributed mostly in the south and southeast of Brazil.
Article
Engineering, Electrical & Electronic
T. Trummal, T. Sarnet, J. Kilter
Summary: This paper introduces a mathematical model for a distribution level, directly fed core-less, induction furnace, which can be used for studying network voltage behavior by network operators. The model accurately represents the dynamic behavior of the facility during the energization of an induction furnace. With support from actual field measurements, the model is shown to provide accurate results for rapid voltage change assessment and can be successfully used for various load changes and voltage levels.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Richard Wang, Zhongnan Ye, Miaojia Lu, Shu-Chien Hsu
Summary: This study developed an agent-based model to simulate post-pandemic work-from-home (WFH) behaviors using social behavior theories. The analysis revealed that environment and resource constraints discourage employees from WFH, leading to a preference for working in the office and less significant community level energy saving. However, as employees adapt to WFH arrangements and have higher stress tolerance, more agents choose WFH, resulting in a significant increase in community level energy consumption saving. The study underscores the importance of improving personal stress tolerance for achieving significant community level energy reduction in WFH scenarios.
Article
Energy & Fuels
Richard Wang, Zhongnan Ye, Miaojia Lu, Shu-Chien Hsu
Summary: An agent-based model was developed to simulate post-pandemic work-from-home behaviors based on social behavior theories. Key factors affecting WFH behavior were identified, including environment constraints, resource constraints, and personal stress tolerance. The study found that environment and resource constraints discourage employees from WFH, but higher stress tolerance leads to more workers choosing WFH.
Article
Computer Science, Interdisciplinary Applications
Kagan Gokbayrak
Summary: This study introduces a two-level distribution network design problem for optimizing the spatial planning of energy distribution networks. The goal is to minimize distribution costs by determining the number, types, and locations of facilities, and the study proposes a heuristic solution method.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Food Science & Technology
Saurav Guha, Hukum Chandra
Summary: India has made significant progress in health indicators, but food security remains a concern. Existing NSSO data provide precise measures at national and state levels, but lack reliable estimates at the district level due to small sample sizes. The SAE technique offers reliable and representative estimates of food insecurity indicators, aiding in policy planning and monitoring at decentralized levels. The disaggregate estimates and spatial maps are expected to be valuable for decision-makers and policy experts in identifying areas needing more attention.
Article
Ecology
Scott D. Foster
Summary: A well-considered survey design is crucial for generating representative data from the sample population. Spatially balanced randomisation with unequal inclusion probabilities is an efficient method within sampling theory. The R-package MBHdesign provides field researchers with easy access to these designs and implements point-based and transect-based methods.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Environmental Sciences
Kingsley J. Griffin, Luke H. Hedge, David Warton, Karen L. Astles, Emma L. Johnston
Summary: Urbanised estuaries, ports, and harbours are now being considered by coastal spatial management initiatives due to their high biodiversity and value to local residents. Assessments of recreational activities in these areas can help avoid conflicts, but existing models need to be developed at a scale relevant to regulatory bodies.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Mathematical & Computational Biology
Firouzeh Noghrehchi, Jakub Stoklosa, Spiridon Penev, David I. Warton
Summary: This article demonstrates the equivalence between multiple imputation and stochastic expectation-maximization approximation to likelihood, and proposes using likelihood-based model selection tools to choose the best imputation model. Selecting an appropriate imputation model is crucial to minimizing bias in inference, and the BIC method shows promise in selecting the correct imputation model.
STATISTICS IN MEDICINE
(2021)
Article
Environmental Sciences
Jenni Niku, Francis K. C. Hui, Sara Taskinen, David Warton
Summary: The study focuses on analyzing the interaction between environmental variables and species trait variables in ecological community studies, specifically utilizing the fourth-corner model to account for these interactions. A proposed fourth-corner latent variable model is introduced to better capture the correlation between species, environment-trait interactions, and species-specific random slopes. Simulation results indicate that the proposed model performs well in testing for interaction coefficients, showing a lower risk of inflated Type I error compared to other available models.
Article
Environmental Sciences
J. R. A. Butler, R. M. Wise, S. Meharg, N. Peterson, E. L. Bohensky, G. Lipsett-Moore, T. D. Skewes, D. Hayes, M. Fischer, P. Dunstan
Summary: Adaptation pathways are decision-making processes that can guide climate-resilient development in developing economies. In Papua New Guinea's Bismarck Sea, an adaptation pathways approach was tested for natural resource development and proved effective despite complex political dynamics.
ENVIRONMENTAL SCIENCE & POLICY
(2022)
Article
Multidisciplinary Sciences
Scott D. Foster, Pierre Feutry, Peter Grewe, Campbell Davies
Summary: The amount of information needed for analytical tasks in population genetics depends on the number of individuals sampled and the genetic markers measured, with different tasks requiring varying numbers of individuals and genetic markers. Real data from sampling locations across the tropical Pacific Ocean were used to assess genetic differences and sample sizes for tasks such as profile testing, stock delineation, and assignment of individuals to stocks in yellowfin tuna populations. Task-specific sample size requirements were determined to help guide the design of molecular ecological surveys for yellowfin tuna.
Article
Ecology
Gordana C. Popovic, Francis K. C. Hui, David Warton
Summary: Data visualization is crucial in data analysis, especially in ecology where challenges arise from numerous variables and non-normal distributions. Ordination is a common and powerful approach to simplify plotting by reducing multiple response variables to a few. Model-based unconstrained ordination methods have gained popularity in recent years, particularly for estimating latent ecological gradients.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Letter
Ecology
Jan Jansen, Skipton N. C. Woolley, Piers K. Dunstan, Scott D. Foster, Nicole A. Hill, Marcus Haward, Craig R. Johnson
NATURE ECOLOGY & EVOLUTION
(2022)
Article
Statistics & Probability
David I. Warton
Summary: This article proposes a method of constructing global envelopes on residual plots to validate regression model assumptions and study their properties through simulation experiments. The global envelope tests perform better than commonly used tests at detecting violations of distributional and linearity assumptions.
AMERICAN STATISTICIAN
(2023)
Article
Biochemistry & Molecular Biology
Mingjie Luo, Yinqiu Ji, David Warton, Douglas W. Yu
Summary: Accurately extracting species-abundance information from DNA-based data is important for various applications. This study focuses on distinguishing within-sample across-species quantification and across-sample within-species quantification. The authors review literature on methods to remove biases and noise in DNA-based data sets and propose using DNA spike-ins as well as a model-based estimator to correct for pipeline noise.
MOLECULAR ECOLOGY RESOURCES
(2023)
Article
Multidisciplinary Sciences
Han Wang, Colin Prentice, Ian J. Wright, David I. Warton, Shengchao Qiao, Xiangtao Xu, Jian Zhou, Kihachiro Kikuzawa, Nils Chr. Stenseth
Summary: The life span of leaves is positively correlated with their mass per unit area (LMA), but the underlying mechanism remains unclear. By analyzing large leaf trait datasets, we found that this empirical generalization is a result of natural selection, which maximizes average net carbon gain over the leaf life cycle. We demonstrated how evergreen and deciduous species with different construction costs (assumed proportional to LMA) are selected by light, temperature, and growing-season length in predictable ways. Moreover, we explained the observed divergent latitudinal trends in evergreen and deciduous LMA and showed how local distributions of LMA arise from selection under different environmental conditions acting on the species pool. These findings highlight how optimality principles can contribute to a new theory for plant geography and terrestrial carbon dynamics.
Article
Statistics & Probability
Elliot Dovers, Wesley Brooks, Gordana C. C. Popovic, David I. I. Warton
Summary: Log-Gaussian Cox processes (LGCPs) provide a framework for regression-style modeling of point patterns with spatial latent effects. We propose a novel methodology for fitting LGCP models that addresses the challenges of marginal likelihood and high dimensional integral. The method combines variational approximation, reduced rank interpolation, automatic differentiation, and integral approximation using the Laplace method. Simulation and real data application show promising results in terms of computational speed and accuracy compared to existing approaches.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Article
Ecology
Ben Maslen, Gordana Popovic, Michelle Lim, Ezequiel Marzinelli, David Warton
Summary: Sample size estimation through power analysis is crucial in ecological studies. A proposed power analysis procedure addresses challenges in multivariate abundance data collection by using a Gaussian copula model, assuming a common effect size across all taxa, and using a critical value approach to estimate power. This procedure was demonstrated on fish assemblage data and is available in the ecopower R software package.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Correction
Ecology
A. T. Sentinella, D. Warton, W. B. Sherwin, C. A. Offord, A. T. Moles
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2022)
Article
Statistics & Probability
Ian W. Renner, David I. Warton, Francis K. C. Hui
Summary: Point process models are natural for modeling data as point events, particularly for Poisson counts and regression. However, traditional criteria like BIC cannot be used for model selection in this context, requiring a redefinition of evaluation metrics. This study develops conditions for penalized likelihood fitting of point process models based on asymptotic results, and discusses the challenges of extending these results to the broader class of Gibbs models.
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
(2021)
