Modeling complex species-environment relationships through spatially-varying coefficient occupancy models
Occupancy models are frequently used by ecologists to quantify spatial variation in species
distributions while accounting for observational biases in the collection of detection …
distributions while accounting for observational biases in the collection of detection …
spOccupancy: An R package for single‐species, multi‐species, and integrated spatial occupancy models
Occupancy modelling is a common approach to assess species distribution patterns, while
explicitly accounting for false absences in detection–nondetection data. Numerous …
explicitly accounting for false absences in detection–nondetection data. Numerous …
Joint species distribution models with imperfect detection for high‐dimensional spatial data
Determining the spatial distributions of species and communities is a key task in ecology
and conservation efforts. Joint species distribution models are a fundamental tool in …
and conservation efforts. Joint species distribution models are a fundamental tool in …
Spatial Gaussian processes improve multi‐species occupancy models when range boundaries are uncertain and nonoverlapping
Species distribution models enable practitioners to analyze large datasets of encounter
records and make predictions about species occurrence at unsurveyed locations. In …
records and make predictions about species occurrence at unsurveyed locations. In …
[HTML][HTML] Modeling spatially and temporally complex range dynamics when detection is imperfect
Species distributions are determined by the interaction of multiple biotic and abiotic factors,
which produces complex spatial and temporal patterns of occurrence. As habitats and …
which produces complex spatial and temporal patterns of occurrence. As habitats and …
Biogeographic multi‐species occupancy models for large‐scale survey data
Ecologists often seek to infer patterns of species occurrence or community structure from
survey data. Hierarchical models, including multi‐species occupancy models (MSOMs), can …
survey data. Hierarchical models, including multi‐species occupancy models (MSOMs), can …
Potential breeding distributions of US birds predicted with both short‐term variability and long‐term average climate data
Climate conditions, such as temperature or precipitation, averaged over several decades
strongly affect species distributions, as evidenced by experimental results and a plethora of …
strongly affect species distributions, as evidenced by experimental results and a plethora of …
Guidelines for the use of spatially varying coefficients in species distribution models
Abstract Aim Species distribution models (SDMs) are increasingly applied across
macroscales using detection‐nondetection data. These models typically assume that a …
macroscales using detection‐nondetection data. These models typically assume that a …
[PDF][PDF] Accounting for the influence of geographic location and spatial autocorrelation in environmental models: a comparative analysis using North American …
DJ Lieske, DJ Bender - Journal of Environmental Informatics, 2009 - academia.edu
Environmental models are a critical tool for identifying where organisms occur by estimating
the relationship among species occurrence and important environmental factors. To date …
the relationship among species occurrence and important environmental factors. To date …
Projecting current and future location, quality, and connectivity of habitat for breeding birds in the Great Basin
We estimated the current location, quality, and connectivity of habitat for 50 species of
breeding birds in four mountain ranges in the central Great Basin (Lander, Nye, and Eureka …
breeding birds in four mountain ranges in the central Great Basin (Lander, Nye, and Eureka …