Development of GIS-based Ecological Carrying Capacity Assessment System

Gholamreza Badjian

Abstract


Earth ecosystems cover about 28% of our planet, but only 25% of these ecosystems are green, while the remainders are characterized by sparse vegetation cover that shows the color of the soil beneath. Much of the sparse vegetation is found in arid and semiarid deserts. Using the GIS-based approach, Ecological Carrying Capacity Model of Nutrition Resources (ECCNR) is based on grazing energy intake. This study focused on the identification and analysis of the components of the ECCNR during three years in the Bakkan distinct, located in Southern Iran. The objectives of the study were to identify and describe the current components of the highland range, crop production system, the grazing ruminant production system and their interactions. Based on the study objectives, an approach system was determined to be the best way of recognizing the effects of, and the relationships between the components and modeling and simulating them is the most effective way to study and assess this complex system. Surveys were used as a technique to gather data, from interviews with nomads and the heads of their groups over a period of three years. The observations validate the generalized structure of the ECCNR under the different feeding and production systems, and this model can be coupled with the appropriate models of feeds and feeding systems in rangeland, cropland, and hand feeding systems.


Keywords


Ecological carrying capacity; ecological modelling, grazing energy intake; nutrition resources; southern Iran.

Full Text:

HTML PDF EPUB XML

References


Badjian, G.R. 2013. Introducing the GIS- based Ecological Carrying Capacity Model of Nutrition Resources. Proceeding of the 22th International Grassland Congress (IGC). P: 885

Badjian, G.R., D. Ismail, H.O.M. Shahwahidand andA.A. Mehrabi. 2008. Modeling the effect of rangeland management on livestock production system of nomads in Southern Iran. Proceeding of the 20th International Grassland- Rangeland Congress (IGC-IRC).

Badjian, G.R. 2005. Effect of ecological rangeland management on livestock production of settled nomads in the Bakkan region of southern Iran. Ph.D thesis. Universiti Putra Malaysia (UPM). Malaysia.

Badjian, G.R., D. Ismail, H.O.M. Shahwahid and A.A. Mehrabi. 2005. The role of Proper use factor model for prediction of available forage in rangeland - South of Iran. Proceeding of the 20th International Grassland Congress (IGC).P:894,http://www.publish.csiro.au/samples/5088TOC.pdf.

Badjian, G.R., D. Ismail, H.O.M. Shahwahid and A.A. Mehrabi. 2004. Identification of feed resource systems for grazing animals of nomads, based on their grazing period in South of Iran. Proceedings of the 11th Animal Science Congress. September 2004. The Asian-Australian Association of Animal Production Societies. 3: 475-477

Badjian, G.R., D. Ismail, H.O.M. Shahwahid and A.A. Mehrabi. 2004. Application of GIS for implementation of Proper Use Factor (PUF) model and its role in range production and its management. International Agriculture Congress 2004: Innovation towards Modernized Agriculture. AP-32: 246-248

Badjian, G.R., D. Ismail, H.O.M. Shahwahid and A.A. Mehrabi. 2003. Southern Iran Nomads and their Rangelands. African Journal of Range and Forage Science. 20(2): 215-221. www.ingentaconnect.com/content/nisc/rf

Bobade, S.V., B.P. Bhaskar, M.S. Gaikwad, P. Raja, S.S. Gaikwad, S.G. Anantwar, S.V. Patil, S.R. Singh and A.K. Maji .2010. A GIS-based land use suitability assessment in Seoni district, Madhya Pradesh, India. Tropical Ecology. 51(1): 41-54.

Chowdary, V. M., D. Ramakrishnan, Y.K. Srivastava, Vi. Chandran and A. Jeyaram .2009. Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS. Water Resources Management. 23( 8)1581-1602.

Dai, F.C., C.F. Lee, and X.H. Zhang. 2001. GIS-based geo-environmental evaluation for urban land-use planning: a case study. Engineering Geology. 61( 4 ): 257-271.

Johnson, C.P. 2010. conference proceeding on ‘Role of GIS and Remote Sensing in the Sustainable Development of Mauritius’ http://www.gsdi.org/gsdiconf/gsdi10/papers/TS23.2paper.pdf

Leitao; A.B. and A. Jack. 2002. applying landscape ecological metrics in sustainable landscape planning . Landscape and Urban planning. 59: 65-93.

McDonald, G.T. and L. Brown .1995. Going beyond environmental impact assessment: Environmental input to planning and design. Environmental Impact Assessment Review. 15( 6): 483-495.

Sudhira H.S., T.V. Ramachandra, S. Raj Karthik and K.S. Jagadish. 2003. Urban Growth Analysis using Spatial and Temporal Data. Photonirvachak – Journal of the Indian Society of Remote Sensing. 31(4):299–311.

Sudhira H.S., T.V. Ramachandra and K.S. Jagadish. 2004. Urban Sprawl: Metrics, Dynamics and Modeling using GIS. International Journal of Applied Earth Observation and Geo-information. 5: 29-39.

Mörtberg, U.M., B. Balfors, and W.C. Knol. 2007. Landscape ecological assessment: A tool for integrating biodiversity issues in strategic environmental assessment and planning, Journal of Environmental Management. 82(4): 457-470.


Refbacks

  • There are currently no refbacks.


Copyright (c)