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Coupling of remote sensing, field campaign, and mechanistic and empirical modeling to monitor spatiotemporal carbon dynamics of a Mediterranean watershed in a changing regional climate

  • S. Berberoglu
  • C. Donmez
  • F. Evrendilek
Article

Abstract

The aim of this study was to simulate impacts of regional climate change in the 2070s on carbon (C) cycle of a Mediterranean watershed combining field measurements, Envisat MERIS and IKONOS data, and the Carnegie Ames Stanford Approach model. Simulation results indicated that the present total C sink status (1.36 Mt C year−1) of Mediterranean evergreen needleleaf forest, grassland and cropland ecosystems is expected to weaken by 7.6 % in response to the climate change in the 2070s (Mt = 1012 g). This decreasing trend was mirrored in soil respiration (R H), aboveground and belowground net primary production (NPP), NEP, and net biome production (NBP). The decrease in NEP in the 2070s was the highest (21.9 %) for mixed forest where the smallest present C sink of 0.03 Mt C year−1 was estimated. The average present net ecosystem production (NEP) values were estimated at 110 ± 15, 75 ± 19, and 41 ± 25 g C m−2 years−1 in forest, grassland, and cropland, respectively, with a watershed-scale mean of 95 ± 30 g C m−2 years−1. The largest present C sink was in grassland, with a total C pool of 0.55 Mt C year−1, through its greater spatial extent.

Keywords

Carbon sink Global climate change Mediterranean ecosystems Process-based modeling Spatiotemporal dynamics 

Notes

Acknowledgments

We are grateful to the Scientific and Technological Research Council (TUBITAK) of Turkey (TOVAG-JPN-04-103O011), and Research Institute for Humanity and Nature of Japan (RIHN) for funding this research project. We would like to thank valuable comments of two anonymous reviewers which significantly improved an earlier version of the manuscript.

Conflict of interest

The authors declare that they have no conflict of interest.

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© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Division of Remote Sensing and GIS, Department of Landscape ArchitectureCukurova UniversityAdanaTurkey
  2. 2.Department of Environmental EngineeringAbant Izzet Baysal UniversityBoluTurkey

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