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Data · dataset · 2021

Spatial and temporal sampling biases and spatial scale affect species distribution models and applicability to conservation management

Listed in Teesside University Research Data Repository

We used Maxent to model the distribution of Cypripedium acaule in North Carolina using records from 1) publicly available databases (GBIF and iNaturalist) and 2) herbaria.

Description

We compared distribution models made with the different sets of occurrence records to evaluate how spatial and temporal biases in records affect model results. The data provided here include the original iNaturalist dataset (prior to cleaning as described in our methods) and the code for the evaluation of models based on ground-truthed populations.

We cannot provide the original herbaria dataset because location records are kept in confidence due to poaching concerns.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Biogeography and phylogeography 77%
Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/9mmbmzjwxp.19 d agoJSON v1
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