Predicted soil organic carbon stocks and changes in Jordan between 2000 and 2030 made using the GEFSOC modelling system

R. Al-Adamat, Z. Rawajfih, M. Easter, K. Paustian, K. Coleman, E. Milne, P. Falloon, D.S. Powlson, N.H. Batjes

Research output: Contribution to journalArticleAcademicpeer-review

39 Citations (Scopus)

Abstract

Estimates of soil organic carbon (SOC) stocks and changes under different land use systems can help determine vulnerability to land degradation. Such information is important for countries in arid areas with high susceptibility to desertification. SOC stocks, and predicted changes between 2000 and 2030, were determined at the national scale for Jordan using The Global Environment Facility Soil Organic Carbon (GEFSOC) Modelling System. For the purpose of this study, Jordan was divided into three natural regions (The Jordan Valley, the Uplands and the Badia) and three developmental regions (North, Middle and South). Based on this division, Jordan was divided into five zones (based on the dominant land use): the Jordan Valley, the North Uplands, the Middle Uplands, the South Uplands and the Badia. This information was merged using GIS, along with a map of rainfall isohyets, to produce a map with 498 polygons. Each of these was given a unique ID, a land management unit identifier and was characterized in terms of its dominant soil type. Historical land use data, current land use and future land use change scenarios were also assembled, forming major inputs of the modelling system
Original languageEnglish
Pages (from-to)35-45
JournalAgriculture, Ecosystems and Environment
Volume122
Issue number1
DOIs
Publication statusPublished - 2007

Keywords

  • regional-scale
  • land-use
  • matter
  • sequestration
  • management
  • turnover
  • dynamics
  • gis

Fingerprint

Dive into the research topics of 'Predicted soil organic carbon stocks and changes in Jordan between 2000 and 2030 made using the GEFSOC modelling system'. Together they form a unique fingerprint.

Cite this