A5087734905- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Ecology and Vegetation Dynamics Studies
- Animal Vocal Communication and Behavior
- Marine animal studies overview
- Rangeland and Wildlife Management
- Noise Effects and Management
- Economic and Environmental Valuation
- Forest ecology and management
- Animal Ecology and Behavior Studies
- Forest Management and Policy
- Data Analysis with R
- Data-Driven Disease Surveillance
- Remote Sensing and LiDAR Applications
- Housing Market and Economics
- Music and Audio Processing
- Gender, Labor, and Family Dynamics
- Healthcare Policy and Management
- Plant and animal studies
- Insect and Arachnid Ecology and Behavior
- Forest Ecology and Biodiversity Studies
- Circadian rhythm and melatonin
- Underwater Acoustics Research
- Research Data Management Practices
- Insect and Pesticide Research
Michigan State University
2019-2025
North Carolina State University
2024-2025
Pollinator Partnership
2024
Pennsylvania State University
2024
Abstract Occupancy modelling is a common approach to assess species distribution patterns, while explicitly accounting for false absences in detection–nondetection data. Numerous extensions of the basic single‐species occupancy model exist multiple species, spatial autocorrelation and integrate data types. However, development specialized computationally efficient software incorporate such extensions, especially large datasets, scarce or absent. We introduce spOccupancy R package designed...
Determining the spatial distributions of species and communities is a key task in ecology conservation efforts. Joint distribution models are fundamental tool community that use multi-species detection-nondetection data to estimate biodiversity metrics. The analysis such complicated by residual correlations between species, imperfect detection, autocorrelation. While many methods exist accommodate each these complexities, there few examples literature address explore all three complexities...
Abstract Data deficiencies among rare or cryptic species preclude assessment of community‐level processes using many existing approaches, limiting our understanding the trends and stressors for large numbers species. Yet evaluating dynamics whole communities, not just common charismatic species, is critical to responses biodiversity ongoing environmental pressures. A recent surge in both public science government‐funded data collection efforts has led a wealth data. However, these programmes...
Abstract Numerous modelling techniques exist to estimate abundance of plant and animal populations. The most accurate methods account for multiple complexities found in ecological data, such as observational biases, spatial autocorrelation, species correlations. There is, however, a lack user‐friendly computationally efficient software implement the various models, particularly large data sets. We developed spAbundance R package fitting spatially explicit Bayesian single‐species...
Abstract 1. The occurrence and distributions of wildlife populations communities are shifting as a result global changes. To evaluate whether these shifts negatively impacting biodiversity processes, it is critical to monitor the status, trends effects environmental variables on entire communities. However, modelling dynamics multiple species simultaneously can require large amounts diverse data, few approaches exist provide community‐level inferences. 2. We present an ‘integrated community...
Abstract Aim Species distribution models (SDMs) are increasingly applied across macroscales using detection‐nondetection data. These typically assume that a single set of regression coefficients can adequately describe species–environment relationships and/or population trends. However, such often show nonlinear spatially varying patterns arise from complex interactions with abiotic and biotic processes operate at different scales. Spatially coefficient (SVC) readily account for variability...
Monitoring wildlife abundance across space and time is an essential task to study their population dynamics inform effective management. Acoustic recording units are a promising technology for efficiently monitoring bird populations communities. We present integrated modeling framework that combines high-quality but temporally sparse point count survey data with acoustic recordings. Using simulations, we compare the accuracy precision of estimates using differing amounts vocalizations...
Abstract Global declines in tree populations have led to dramatic shifts forest ecosystem composition, biodiversity, and functioning. These changes consequences for both plant wildlife communities, particularly when declining species are involved coevolved mutualisms. Whitebark pine ( Pinus albicaulis ) is a keystone western North American high‐elevation ecosystems an obligate mutualist of Clark's nutcracker Nucifraga columbiana ), avian seed predator disperser. By leveraging traditional...
To efficiently detect aquatic invasive species early in an invasion when control may still be possible, predictions about which locations are likeliest to occupied needed at fine scales but rarely available. Occupancy modeling could provide such given data of sufficient quality and quantity. We assembled a set for the macroalga starry stonewort (Nitellopsis obtusa) across Minnesota Wisconsin, USA, where it is new high-priority invader. used these construct multi-season, single-species...
Abstract As data and computing power have surged in recent decades, statistical modeling has become an important tool for understanding ecological patterns processes. Statistical ecology faces two major challenges. First, may not conform to traditional methods, second, professional ecologists often do receive extensive training. In response these challenges, the journal Ecology published many innovative papers that introduced novel methods provided accessible guides best practices. this...
Abstract The homeodomain transcription factors sine oculis homeobox 3 (Six3) and ventral anterior 1 (Vax1) are required for brain development. Their expression in specific areas is maintained adulthood, where their functions poorly understood. To identify the roles of Six3 Vax1 neurons, we conditionally deleted each gene using Synapsin cre , a promoter targeting maturing generated syn mice. females, but not males, had reduced fertility, due to impairment luteinizing hormone (LH) surge...
Abstract Analytic reproducibility is important for scientific credibility in ecology, but the extent to which literature meets this criterion not well understood. We surveyed 497 papers published 2018–2022 9 ecology‐related journals. focused on that used hierarchical models estimate species distribution and abundance. determined if achieved two components of analytic reproducibility: (1) availability data code, (2) code functionality. found 28% made available, 7% provided ran without errors....
Occupancy models are frequently used by ecologists to quantify spatial variation in species distributions while accounting for observational biases the collection of detection-nondetection data. However, common assumption that a single set regression coefficients can adequately explain species-environment relationships is often unrealistic, especially across large domains. Here we develop single-species (i.e., univariate) and multi-species multivariate) spatially-varying coefficient (SVC)...
Niche theory predicts that ecologically similar species can coexist through multidimensional niche partitioning. However, owing to the challenges of accounting for both abiotic and biotic processes in ecological modelling, underlying mechanisms facilitate coexistence competing are poorly understood. In this study, we evaluated potential bird a biodiversity-rich transboundary montane forest east-central Africa by computing overlap indices along an environmental elevation gradient, diet,...
Abstract Understanding variation in species occupancy is an important task for conservation. When assessing patterns over multiple temporal seasons, it recommended to visit at least a subset of sites times within season during period closure account observation biases. However, logistical constraints can inhibit re‐visitation season, resulting the use single‐visit multi‐season models. Some have suggested that autocorrelation space and/or time provide “fractional replication” separately...
Improved monitoring and associated inferential tools to efficiently identify declining bird populations, particularly of rare or sparsely distributed species, is key informed conservation management across large spatio-temporal regions. We assess abundance trends for 106 species in a network eight national park forests located within the northeast USA from 2006-2019 using novel hierarchical model. develop multi-species, multi-region removal sampling model that shares information parks enable...
Forecasting the future state of a species is tricky process, as there are numerous hidden factors that influence trajectories in addition to obvious unknowns about planet. We echo guidance Clare et al. (2024) use near‐term and long‐term forecasting complementary ways. Near‐term forecasts can be used guide specific management conservation actions, which updated new data evidence collected. Long‐term characterize uncertainty further into future, help longstanding planning legislative actions...