Observation data for modelling

Dryad2018-01-01 更新2026-04-13 收录

联合物种分布建模

多物种生物量预测

数据链接：

http://datadryad.org/resource/doi:10.5061/dryad.rd55f/1 数据链接链接失效反馈

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资源简介：

The file is in a form of R data, including all data used to fit the JSDMs, that is ,the biomass of multispecies and environmental variables of water temperature, salinity and depth.

创建时间：

2018-01-01

Examining the co-occurrences of human threats within terrestrial protected areas

保护区威胁评估

联合物种分布建模

"Martini et al_ExaminingThreatsCo-occurrences_Ambio.csv":Dataset used in publication: Martini et al. 2023. Examining the co-occurrences of human threats within terrestrial protected areas. Ambio.Data

Figshare2023-12-30 更新60

Scale-dependence of ecological assembly rules: insights from empirical datasets and joint species distribution modelling

尺度依赖性生态群落组装

联合物种分布建模

1. A comprehensive understanding of the scale-dependency of environmental filtering and biotic interactions influencing the local assembly of species is paramount to derive realistic forecasts of the

NIAID Data Ecosystem30

Bayesian inference on high-dimensional multivariate binary responses

联合物种分布建模

贝叶斯推断

It has become increasingly common to collect high-dimensional binary response data; for example, with the emergence of new sampling techniques in ecology. In smaller dimensions, multivariate probit (M

Taylor & Francis Group2023-11-09 更新20

Model output for five Hmsc models of alpine grassland communities

联合物种分布建模

高山草原群落生态

Model output from five joint species distribution models made with Hmsc in R. One 'global' model with all data, and one model for each of four sites Skjellingahaugen, Gudmedalen, Låvisdalen, and Ulveh

Zenodo2023-06-21 更新30

Habitat complexity and prey composition shape an apex predator’s habitat use across contrasting landscapes

捕食者栖息地利用

联合物种分布建模

This dataset contains snow-track observations of Eurasian lynx (Lynx lynx) and its main prey species collected across central and southern Finland between 2016 and 2020 within the Wildlife Triangle Sc

NIAID Data Ecosystem20

Observation data for modelling

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