Document Type
Article
Journal/Book Title/Conference
Scientific Data
Author ORCID Identifier
Peter Tyrrell http://orcid.org/0000-0002-9599-8138
Femke Broekhuis http://orcid.org/0000-0002-4216-8819
Robert Buitenwerf http://orcid.org/0000-0003-3356-2301
Nathan Hahn http://orcid.org/0000-0003-1429-6722
Mette Løvschal http://orcid.org/0000-0002-3084-0524
John T. du Toit http://orcid.org/0000-0002-3084-0524
Volume
9
Issue
8
Publisher
Nature Publishing Group
Publication Date
1-18-2022
First Page
1
Last Page
9
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Abstract
The savannas of the Kenya-Tanzania borderland cover >100,000 km2 and is one of the most important regions globally for biodiversity conservation, particularly large mammals. The region also supports >1 million pastoralists and their livestock. In these systems, resources for both large mammals and pastoralists are highly variable in space and time and thus require connected landscapes. However, ongoing fragmentation of (semi-)natural vegetation by smallholder fencing and expansion of agriculture threatens this social-ecological system. Spatial data on fences and agricultural expansion are localized and dispersed among data owners and databases. Here, we synthesized data from several research groups and conservation NGOs and present the first release of the Landscape Dynamics (landDX) spatial-temporal database, covering ~30,000 km2 of southern Kenya. The data includes 31,000 livestock enclosures, nearly 40,000 kilometres of fencing, and 1,500 km2 of agricultural land. We provide caveats and interpretation of the different methodologies used. These data are useful to answer fundamental ecological questions, to quantify the rate of change of ecosystem function and wildlife populations, for conservation and livestock management, and for local and governmental spatial planning.
Recommended Citation
Tyrrell, P., Amoke, I., Betjes, K. et al. Landscape Dynamics (landDX) an open-access spatial-temporal database for the Kenya-Tanzania borderlands. Sci Data 9, 8 (2022). https://doi.org/10.1038/s41597-021-01100-9