So many variables: joint modeling in community ecology
Technological advances have enabled a new class of multivariate models for ecology, with
the potential now to specify a statistical model for abundances jointly across many taxa, to …
the potential now to specify a statistical model for abundances jointly across many taxa, to …
[图书][B] Joint species distribution modelling: With applications in R
O Ovaskainen, N Abrego - 2020 - books.google.com
Joint species distribution modelling (JSDM) is a fast-developing field and promises to
revolutionise how data on ecological communities are analysed and interpreted. Written for …
revolutionise how data on ecological communities are analysed and interpreted. Written for …
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
A large array of species distribution model (SDM) approaches has been developed for
explaining and predicting the occurrences of individual species or species assemblages …
explaining and predicting the occurrences of individual species or species assemblages …
The fourth‐corner solution–using predictive models to understand how species traits interact with the environment
An important problem encountered by ecologists in species distribution modelling (SDM)
and in multivariate analysis is that of understanding why environmental responses differ …
and in multivariate analysis is that of understanding why environmental responses differ …
Uncovering hidden spatial structure in species communities with spatially explicit joint species distribution models
Modern species distribution models account for spatial autocorrelation in order to obtain
unbiased statistical inference on the effects of covariates, to improve the model's predictive …
unbiased statistical inference on the effects of covariates, to improve the model's predictive …
Projecting marine species range shifts from only temperature can mask climate vulnerability
Climate change is causing range shifts in many marine species, with implications for
biodiversity and fisheries. Previous research has mainly focused on how species' ranges will …
biodiversity and fisheries. Previous research has mainly focused on how species' ranges will …
Three points to consider when choosing a LM or GLM test for count data
The two most common approaches for analysing count data are to use a generalized linear
model (GLM), or transform data, and use a linear model (LM). The latter has recently been …
model (GLM), or transform data, and use a linear model (LM). The latter has recently been …
Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range
Predicting and explaining the distribution and density of species is one of the oldest
concerns in ecology. Species distributions can be estimated using geostatistical methods …
concerns in ecology. Species distributions can be estimated using geostatistical methods …
Model-based thinking for community ecology
In this paper, a case is made for the use of model-based approaches for the analysis of
community data. This involves the direct specification of a statistical model for the observed …
community data. This involves the direct specification of a statistical model for the observed …
[HTML][HTML] Seasonal dynamics of soil fungal and bacterial communities in cool-temperate montane forests
N Shigyo, K Umeki, T Hirao - Frontiers in microbiology, 2019 - frontiersin.org
Both fungal and bacterial communities in soils play key roles in driving forest ecosystem
processes across multiple time scales, but how seasonal changes in environmental factors …
processes across multiple time scales, but how seasonal changes in environmental factors …