Landscape Dynamics (landDX) an open-access spatial-temporal database for the Kenya-Tanzania borderlands

Area of Science:

• Ecology
• Conservation Science
• Spatial Analysis

Background:

• The Kenya-Tanzania borderland savannas are critical for biodiversity and support over a million pastoralists.
• Resource variability necessitates connected landscapes for wildlife and livestock.
• Habitat fragmentation from fencing and agriculture threatens this vital social-ecological system.

Purpose of the Study:

• To create the first comprehensive spatial-temporal database (landDX) of landscape changes in southern Kenya.
• To synthesize and present data on livestock enclosures, fencing, and agricultural expansion.
• To provide a resource for ecological research, conservation, and land-use planning.

Main Methods:

• Data synthesis from multiple research groups and conservation NGOs.
• Creation of the Landscape Dynamics (landDX) spatial-temporal database.
• Inclusion of data on livestock enclosures, fencing extent, and agricultural land cover.

Main Results:

• The landDX database covers approximately 30,000 km² of southern Kenya.
• Detailed data includes 31,000 livestock enclosures and nearly 40,000 km of fencing.
• 1,500 km² of agricultural land data is incorporated, with methodological caveats provided.

Conclusions:

• The landDX database is a valuable tool for understanding ecosystem changes and wildlife population dynamics.
• Data supports conservation efforts and informs livestock and land-use management strategies.
• Essential for spatial planning by local authorities and governments in the region.