Database Report

Kenya Coastal Forests Vegetation Plot Database -- Plot Database of the Remnant Coastal Forests of Kenya

Maria Fungomeli & Alessandro Chiarucci

GIVD Database ID: AF-KE-001	Last update: 2020-08-07
Kenya Coastal Forests Vegetation Plot Database	Web address:
Database manager(s): Maria Fungomeli (maria.fungomeli2@unibo.it); Alessandro Chiarucci (alessandro.chiarucci@unibo.it)
Owner: Maria Fungomeli, PhD Student-University of Bologna, Dept of Biology, Geology & Envtal Sci. Senior Curator & Research Scientist, Coastal Forests Conservation Unit, Center for Biodiversity National Museums of Kenya e-mail: mfungomeli@museums.or.ke; maria.fungomeli2@unibo.it; fungomaria@yahoo.com
Scope: A plant species diversity survey of the Coastal Forests of Kenya. The survey covered 25 forests with details of trees and shrubs species, DBH & Height, georeference of sites & transects. Plants were identified to species level where possible otherwise genus level used.
Abstract: Availability and access to biodiversity data is important to management and conservation of ecosystems. Currently, plot-based vegetation data is largely lacking on the Kenya Coastal forests which are part of the global biodiversity hot-spots. Here we outline the current state and trends of the Kenyan Coastal Forests as assessed with the first vegetation plot database.
Availability: according to a specific agreement	Online upload: no	Online search: no
Database format(s): Excel	Export format(s): Excel, Open Document, PDF, CSV file
Plot type(s): nested plots	Plot-size range (m²): 50 to 1000
Non-overlapping plots: 158	Estimate of existing plots: 158	Completeness: 100%	Status: finished
Total no. of plot observations: 158	Number of sources (biblioreferences, data collectors): 0	Valid taxa: 600
Countries (%): KE: 100%
Formations: Forest: 100% = Terrestrial: 100%
Guilds: only trees and shrubs: 100%
Plot size categories (%): 10-100 m2: 100%; 100-1000 m2: 100%;
Environmental data (%): altitude: 100%
Performance measure(s): presence/absence only: 100%; number of individuals: 100%; measurements like diameter or height of trees: 100%
Geographic localisation: GPS coordinates (precision 25 m or less): 100%
Sampling periods: 2010-2019: 100%
Information as of 2026-04-30; further details and future updates available from http://www.givd.info/ID/AF-KE-001

Maria Fungomeli* (maria.fungomeli2@unibo.it)
Department of Biology, Geology & Environmental Sciences, Alma Mater Studiorum-University of Bologna, Via Irnerio 42, 40126 Bologna, ITALY
Alessandro Chiarucci (alessandro.chiarucci@unibo.it)
Department of Biology, Geology & Environmental Sciences, Alma Mater Studiorum-University of Bologna, Via Irnerio 42, 40126 Bologna, ITALY
* corresponding author