Spatial Bias in Plant Biodiversity Data for Pakistan: A Quantitative Analysis of GBIF Records

Independent analysis of 123,000+ plant occurrence records from GBIF for Pakistan, quantifying geographic and taxonomic data gaps with implications for conservation planning and machine learning applications.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-28
DOI
https://doi.org/10.5281/zenodo.22140910
Primary Topic
Species Distribution and Climate Change
Type
preprint
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preprint

Spatial Bias in Plant Biodiversity Data for Pakistan: A Quantitative Analysis of GBIF Records

Aamna Naveed
Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
preprint

Spatial Bias in Plant Biodiversity Data for Pakistan: A Quantitative Analysis of GBIF Records

Aamna Naveed
preprint en

Abstract

Independent analysis of 123,000+ plant occurrence records from GBIF for Pakistan, quantifying geographic and taxonomic data gaps with implications for conservation planning and machine learning applications.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Species Distribution and Climate Change
DOIOpen Access PDFOpenAlex
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Spatial Bias in Plant Biodiversity Data for Pakistan: A Quantitative Analysis of GBIF Records — Aamna Naveed · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS