ACKDAT: a digital spatial database of distributions of South African plant species and species assemblages

Record type:

dataset

Creator:

M. L. G.

Publisher:

Elsevier BV

Host:

Visit

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/http://creativecommons.org/licenses/by/4.0/

Similar

Spatial hidden Markov models and species distributionsDeveloping an approach to defining the potential distributions of invasive plant species: a case study of Hakea species in South AfricaTrait database for plant functional traits of West African savanna speciesUseDa - a new database tool on ethnobotanical uses of West African plant speciesDeveloping an approach to defining the potential distributions of invasive plant species: a case study of <i>Hakea</i> species in South AfricaComprehensive Database for Nutrient Composition of Major Food Items and Underutilized Plant Species in Africa

Spatial hidden Markov models and species distributions

A spatial hidden Markov model (SHMM) is introduced to analyse the distribution of a species on an at

Developing an approach to defining the potential distributions of invasive plant species: a case study of Hakea species in South Africa

International audience Aim Models of the potential distributions of invading species

Trait database for plant functional traits of West African savanna species

UseDa - a new database tool on ethnobotanical uses of West African plant species

Knowledge about useful plants and their various applications in West Africa is scattered over many p

Developing an approach to defining the potential distributions of invasive plant species: a case study of <i>Hakea</i> species in South Africa

ABSTRACT Aim Models of the potential distributions of invading species have to deal with a numbe

Comprehensive Database for Nutrient Composition of Major Food Items and Underutilized Plant Species in Africa

The current version of the database contains 196 foods - 51 vegetables, 79 fruits, 47 seeds and nuts