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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Landscape Dynamics (landDX) an open-access spatial-temporal database for the Kenya-Tanzania borderlands.

Peter Tyrrell1,2,3, Irene Amoke4, Koen Betjes5

  • 1South Rift Association of Land Owners, Nairobi, Kenya. peterdavidtyrrelll@gmail.com.

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Summary

A new spatial-temporal database, landDX, tracks landscape changes in Kenya-Tanzania savannas. This resource monitors fencing and agriculture, crucial for conserving biodiversity and supporting pastoralists.

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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.