A Representative Application of Future NPP Estimation by Combining Remote Sensing and Spatial Modelling


Dönmez C., Berberoğlu S., Çilek A., Şatır O.

3rd Integrated Carbon Observation System Conferance ICOS 2022, Praha, Çek Cumhuriyeti, 11 - 13 Eylül 2022, ss.60

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Praha
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Sayfa Sayıları: ss.60
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

Net Primary Productivity (NPP) is the amount of carbon uptake after subtracting Plant Respiration (RES) from Gross Primary Productivity (GPP) that measures the new plant growth. It is an important indicator for ecosystem performance that represents the overall trend of carbon cycle. Remote sensing and biogeochemical models have been combined in recent studies to estimate and evaluate the NPP potential in many regions, however, this is still an important research question for Turkey. The objective of this study was to combine remote sensing and biogeochemical modelling to estimate the responses of Net Primary Productivity (NPP) to projected climatic changes in Turkey. Therefore, a multitemporal data set including 16-day MODIS composites, land cover, soils and fractional percent tree cover data at a 250-m spatial resolution are integrated to the NASA-CASA biogeochemical approach. The future climate projections were based on the following Representative Concentration Pathways (RCPs) scenario defined in 5th Assessment Report of The Intergovernmental Panel on Climate Change: RCP 8.5. The future NPP modeling was performed under CO2 concentrations ranging from 421 to 936 ppm. Terrestrial NPP appeared to be sensitive to changes in temperature and precipitation. The model results provided promising results about a better understanding and quantification of ecological and economic implications of regional impacts of climate change on complex and heterogeneous landscape of Turkey