PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | 71 |

Tytuł artykułu

Using land cover change to predict forest degradation pressure points, Eastern Mau Forest, Kenya

Autorzy

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Land cover change in any ecosystem vary in space and time. The study analyzed spatialtemporal land cover change to predict forest degradation pressure points in Eastern Mau Forest Reserve. The study objectives were to determine types and amount of spatial-temporal land cover change; land cover change drivers and; forest resources use sustainability. The study used mixed sample survey design involving purposive sampling of spatial data and cluster sampling of forest resource use data. Primary data included ground control points, field validation data and forest resource use data. Secondary data included Landsat imagery, forest and administration boundaries and settlements data. Analysis was done for 1986-2014 period using Remote Sensing and Geographical Information System. The analysis techniques used included object based image segmentation and classification, accuracy assessment and land cover change detection. Land cover types in Eastern Mau Forest consisted of indigenous forest, shrubland, grassland, plantation forest, cultivated fields, bare ground and built-up area. The analysis results depicted that cultivated fields coverage increased from 1% to 47%. Indigenous and plantation forests decreased from 43% to 36% and 34% to 7% respectively. Grassland and shrubland decreased from 16% to 8% and 6% to 2% respectively. Bare ground and built up area had a change of less than 1% each. Causes of pressure that lead to forest degradation included crop cultivation, settlement construction, livestock grazing, charcoal burning, firewood collection, logging, bee keeping and medicinal herbs extraction. Land cover change was more on the eastern side than on the western side. Indigenous and plantation forests were likely to disappear if cropland and built up area expansions were to remain unchecked. The study recommendations were: resettlement activities be eliminated in the Eastern Mau Forest; excision of forest land for crop cultivation should be discouraged; and scientific research should be carried out on sustainable plantation forest activities.

Wydawca

-

Rocznik

Tom

71

Opis fizyczny

p.17-33,fig.,ref.

Twórcy

autor
  • Food and Agriculture Organization of the United Nations (FAO) Somalia, Somali Water and Land Information Management (SWALIM) Programme, P.O.BOX 30470 – 00100, Nairobi, Kenya

Bibliografia

  • [1] KFWG, Kenya Forests Working Group. Excision and settlement in the Mau Forest. Kenya Forest Working Group report, Nairobi, Kenya, 2001.
  • [2] FAO, Food and Agriculture Organization of the United Nations. State of the World’s Forests (FAO), Viale delle Terme di Caracalla, 00153 Rome, Italy, 2012.
  • [3] M. Tiffen, M. Mortimore, F. Gichuki, More people, less erosion: environmental recovery in Kenya, ODI, London, UK, 1994.
  • [4] KFMP, Kenya Forestry Master Plan Project, Kenya Forestry Master Plan Development Programmes, 1994.
  • [5] Adoyo et al., Kenya Political, Social and Environmental Issues, Nova Science Publishers, Inc., 2012.
  • [6] M.A. Quaddus, M.A.B. Siddique, Modelling sustainable development planning: a multicriteria decision conferencing approach. Environment International. 27(2-3) (2001) 89-95.
  • [7] J.K. Maingi, S.E. Marsh, Assessment of environmental impacts of river basin development on the riverine forests of eastern Kenya using multi-temporal satellite data. Arizona Remote Sensing Center, University of Arizona, Tucson, Arizona 85750, USA, 2001.
  • [8] BirdLife International, Important Bird Areas factsheet: Mau forest complex, 2015.
  • [9] GoK, Report of the Government’s Task Force on the Conservation of the Mau Forests Complex, 2009.
  • [10] UNEP, How Much Forest Cover in Kenya? A surprisingly difficult question to answer. United Nations Environment Programme, 2012.
  • [11] W.G. Sombroek, H.M.H. Braun, B.J.A. van der Pouw, The explanatory soil map and agro-climatic zone map of Kenya. Report No. E. 1, Kenya Soil Survey, Nairobi, Kenya, 1980.
  • [12] L.O. Olang, P. Kundu, Land Degradation of the Mau forest complex in Eastern Africa. a review for management and restoration planning, in: Environmental Monitoring, 2011.
  • [13] C. Burnett, T. Blaschke, A multi-scale segmentation/object relationship modelling methodology for landscape analysis, Ecological Modelling. 168 (2003) 233-249.
  • [14] J. Jenness, J.J. Wynne, Cohen's Kappa and classification table metrics 2.0: An ArcView 3.x extension for accuracy assessment of spatially explicit models. Open-File Report OF 2005-1363. Flagstaff, AZ: US Geological Survey, Southwest Biological Science Center, 2005.

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.agro-8fd9ddec-d751-41dd-b546-aae078d15d85
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.