Objective prioritization of intervention areas for the NAGA Foundation in the Kenya Tanzania border area

H.W. ter Maat, R.W.A. Hutjes, L. Fleskens, E.P. Querner, J.E.M. Klostermann, A.M.J. Jaspers

Research output: Book/ReportReportProfessional

Abstract

The NAGA foundation aims to establish Hydrologic Corridors, wherein re-greening and restoration of
the landscape interacts with regional rain-bringing wind patterns to intensify the local hydrologic cycle
to a point that a permanently greener and more productive ecosystem can be sustained. The initial
search area, as defined by NAGA, targets the Kenya-Tanzania border region and identified four
possible Hydrological Corridors. This report supports an objective prioritisation of potential
intervention locations in this larger domain. Therefore, readily available, geographically explicit
information on soil, vegetation, hydrology and climate, as well as institutional settings that may affect
the likelihood of success of such projects, were collected and analysed, and some climate-modelling
experiments were performed.
Combining the findings of the four themes: hydrology, soil restoration, climate, and institutions, and
ranking the four potential corridors objectively in order of priority, favours re-greening projects in the
Tanzanian corridors could provide the best starting point: especially the most eastern one. In this
area, many applicable land management options exist in combination with a high potential for
restoring soil organic matter, the highest rainfall recycling potential in the more favourable long rainy
season, and the apparent reliability of the Tanzanian governments at both national- and at local
levels. The GIS data facilitate further focus on this particular corridor in search of specific project
locations
Original languageEnglish
PublisherAlterra
Number of pages67
Publication statusPublished - 2016

Publication series

NameAlterra-rapport
No.2711
ISSN (Print)1566-7197

Keywords

  • hydrology
  • restoration management
  • climate
  • soil
  • geographical information systems
  • vegetation
  • models
  • tanzania
  • kenya

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