DETERMINATION OF GRASSLAND AREAS BY USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS, WITH SPECIAL REFERENCE TO ISPARTA, TURKEY


Dogan C., Bozkurt Y.

SCIENTIFIC PAPERS-SERIES D-ANIMAL SCIENCE, cilt.60, ss.221-225, 2017 (ESCI İndekslerine Giren Dergi) identifier

  • Cilt numarası: 60
  • Basım Tarihi: 2017
  • Dergi Adı: SCIENTIFIC PAPERS-SERIES D-ANIMAL SCIENCE
  • Sayfa Sayıları: ss.221-225

Özet

This study was carried to determine the size and quality and potential of pastures by using Remote Sensing (RS) and Geographic Information Systems (GIS), in the province of Isparta located on the West Mediterranean Region of Turkey. In this study, Merkez, Sarkikaragac and Yalvac districts were chosen as test areas which comprise of 80% of whole grassland area of Isparta Province. A digital map showing areas of pasture belonging to the district of Sarkikaraagac was prepared and the grassland area was estimated. Sowing times for grass samples was identified as May\ July and September in 2011 to determine dry matter (DM) in the amount of biomass, botanical composition and ADF, NDF and crude protein (CP) values. The amounts of biomass on DM basis per hectare in the districts of Merkez, Sarkikaraagac and Yalvac 3.11, 2.71 and 2.69 ton/ha, respectively. Botanical compositions for Merkezleguminosae 21%, Gramineae 37% and 42% others respectively; Sarkikaraagac 36%, 40% and 25%; Yalvac 36% and 33% was 31%. Average ADF and NDF contents were increased during the vegetation period; CP rates were decreased. Both DM yields and protein contents towards the end of vegetation period were reduced. Therefore, the most appropriate animal grazing period was determined as between the beginning of May and the early September, and also in relation to the botanical composition of grasses in grassland areas, Gramineae was found to be greater than other species. Therefore, cattle grazing would be a more appropriate grassland management system in the study area. When setting up an inventory that is required for animal pasture and the results of similar studies related to Isparta province, the realization of an effective pasture management and exploitation of RS and GIS technologies and techniques will help to make decisions about the use of these technologies in terms of both time and economic contributions.