The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi) - Archive ouverte HAL Access content directly
Journal Articles PhytoKeys Year : 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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Wesley Tack
  • Function : Author
  • PersonId : 1176362
Henry Engledow
Steven P. Bachman
Gaël U D Bouka
  • Function : Author
Martin Cheek
  • Function : Author
Petra de Block
  • Function : Author
Corneille E N Ewango
  • Function : Author
Eberhard Fischer
  • Function : Author
Roy E Gereau
Serene Hargreaves
  • Function : Author
Yvette Harvey-Brown
  • Function : Author
Davy U Ikabanga
  • Function : Author
Edouard Ilunga Wa Ilunga
  • Function : Author
James Kalema
  • Function : Author
Peris Kamau
  • Function : Author
Quentin Luke
  • Function : Author
Ithe Mwanga Mwanga
  • Function : Author
Sydney T Ndolo Ebika
  • Function : Author
Jacques Nkengurutse
  • Function : Author
Aimable Nsanzurwimo
  • Function : Author
Salvator Ntore
  • Function : Author
Sophie L Richards
  • Function : Author
Reddy Shutsha Ehata
  • Function : Author

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.
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Dates and versions

hal-03820599 , version 1 (19-10-2022)

Licence

Attribution - CC BY 4.0

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Wesley Tack, Henry Engledow, Nuno Veríssimo Pereira, Christian Amani, Steven P. Bachman, et al.. The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi). PhytoKeys, 2022, 206, pp.137 - 151. ⟨10.3897/phytokeys.206.77379⟩. ⟨hal-03820599⟩
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