Data and code from: A bias-robust framework for quantifying community responses to the climate change using the occurrence data
收藏DataCite Commons2026-03-19 更新2026-04-25 收录
下载链接：
https://datadryad.org/dataset/doi:10.5061/dryad.ksn02v7hj
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资源简介：
This repository houses the simulation code and data for "A
Bias-robust Framework for Quantifying Community Responses to the Climate
Change Using the Occurrence Data." There are two simulation codes. In
the first simulation (SimulationCode.R), distribution data for a
pseudo-biological community—whose range shifts due to climate warming—is
generated, and numerous rounds of biased sampling are conducted from that
distribution. The CCDM (Community Change Detection Model) is then applied
to the resulting biased occurrence data to evaluate the rate of
thermophilization. In the second simulation
(SimulationCode_Sensitivity_Analysis.R), sampling and species distribution
generation are carried out under different bias conditions to assess the
robustness of CCDM across various scenarios.
提供机构：
Dryad
创建时间：
2026-03-19
