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. 2022 Sep 16:206:137-151.
doi: 10.3897/phytokeys.206.77379. eCollection 2022.

The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi)

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The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi)

Wesley Tack et al. PhytoKeys. .

Abstract

In this data paper, we present a specimen-based occurrence dataset compiled in the framework of the Conservation of Endemic Central African Trees (ECAT) project with the aim of producing global conservation assessments for the IUCN Red List. The project targets all tree species endemic or sub-endemic to the Central African region comprising the Democratic Republic of the Congo (DR Congo), Rwanda, and Burundi. The dataset contains 6361 plant collection records with occurrences of 8910 specimens from 337 taxa belonging to 153 genera in 52 families. Many of these tree taxa have restricted geographic ranges and are only known from a small number of herbarium specimens. As assessments for such taxa can be compromised by inadequate data, we transcribed and geo-referenced specimen label information to obtain a more accurate and complete locality dataset. All specimen data were manually cleaned and verified by botanical experts, resulting in improved data quality and consistency.

Keywords: Africa; IUCN Red List; conservation; data capture; data cleaning; endemics; flora; flowering plants; geographic range; herbarium; threatened.

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Figures

Figure 1.
Figure 1.
Taxonomic coverage: The top 20 families with the highest number of records of Central African endemic and sub-endemic trees in the ECAT dataset (totalling 6361 records and 337 taxa).
Figure 2.
Figure 2.
Spatial coverage: One-degree grid maps showing A number of records and B number of taxa of Central African endemic and sub-endemic trees in the ECAT dataset (totalling 6361 records and 337 taxa).
Figure 3.
Figure 3.
Temporal coverage: Number of records per 5-year periods from 1882 to 2019 of Central African endemic and sub-endemic trees in the ECAT dataset (totalling 6361 records and 337 taxa).

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