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
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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.
KeywordsCarbon sink Global climate change Mediterranean ecosystems Process-based modeling Spatiotemporal dynamics
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.
- Chen, M., & Zhuang, Q. (2014). Evaluating aerosol direct radiative effects on global terrestrial ecosystem carbon dynamics from 2003 to 2010. Tellus, B66, 21808.Google Scholar
- Donmez, C., Berberoglu, S., Erdogan, M. A., Tanriover, A. A., & Cilek, A. (2015). Response of the regression tree model to high resolution remote sensing data for predicting percent tree cover in a Mediterranean ecosystem. Environmental Monitoring & Assessment, 187, 4 (in press).Google Scholar
- Eswaran, H., Berberoglu, S., Cangir, C., Boyraz, D., Zucca, C., Ozevren, E., et al. (2011). The anthroscape approach in sustainable land use, sustainable land management: learning from the past for the future. New York: Springer.Google Scholar
- Haberl, H., Erb, K. H., Krausmann, F., Gaube, V., Bondeau, A., Plutzar, C., et al. (2007). Quantifying and mapping the human appropriation of net primary production in Earth’s terrestrial ecosystems. Proceedings of the National Academy of Sciences of the United States of America, 104, 12942–12945.CrossRefGoogle Scholar
- Helsel, D. R., & Hirsch, R. M. (1992). Statistical methods in water resources. Amsterdam: Elsevier.Google Scholar
- IPCC. (2000). Special report on emissions scenarios. Cambridge: Cambridge University Press.Google Scholar
- Jian-Bing, W., Du-Ning, X., Xing-Yi, Z., Xiu-Zhen, L., & Xiao-Yu, L. (2006). Spatial variability of soil organic carbon in relation to environmental factors of a typical small watershed in the Black Soil region, Northeast China. Environmental Monitoring & Assessment, 121, 597–613.CrossRefGoogle Scholar
- Kennedy, R. E., Townsend, P. A., Gross, J. E., Cohen, W. B., Bolstad, P., Wang, Y. Q., et al. (2009). Remote sensing change detection tools for natural resource managers: understanding concepts and tradeoffs in the design of landscape monitoring projects. Remote Sensing of Environment, 113, 1382–1396.CrossRefGoogle Scholar
- Kimura, F., Kitoh, A., Sumi, A., Asanuma, J., & Yatagai, A. (2007). Downscaling of the global warming projections to Turkey. The Final Report of ICCAP (Impact of Climate Changes on Agricultural Production System in Arid Areas), Research Institute for Humanity and Nature.Google Scholar
- McGuire, A. D., Sitch, S., Clein, J. S., Dargaville, R., Esser, G., Foley, J., et al. (2001). Carbon balance of the terrestrial biosphere in the twentieth century: analyses of CO2, climate and land-use effects with four process-based ecosystem models. Global Biogeochemical Cycles, 15, 183–206.CrossRefGoogle Scholar
- Miglietta, F., & Peressotti, A. (1999). Summer drought reduces carbon fluxes in Mediterranean forest. Global Change Newsletter, 39, 15–16.Google Scholar
- Powell, H. L., Gholz, K. L., Clark, G., Starr, W. P., Cropper, J. R., & Martin, T. A. (2008). Carbon exchange of a mature, naturally regenerated pine forest in North Florida. Global Change Biology, 14, 2523–2538.Google Scholar
- Suttie, J. M., Reynolds, S. G., & Batello, C. (2005). Grasslands of the world. FAO Plant Production and Protection Series, FAO.Google Scholar
- Wali, M. K., Evrendilek, F., West, T., Watts, S., Pant, D., Gibbs, H., et al. (1999). Assessing terrestrial ecosystem sustainability: usefulness of regional carbon and nitrogen models. Nature & Resources, 35, 20–33.Google Scholar
- Weiss, M., Baret, F., Pavageau, K., Béal, D., Berthelot, B., & Regner, P. (2006). Top of canopy land products (TOA_VEG). Contract ESA AO/1-4233/02/I-LG.Google Scholar
- Woodward, F. I., Smith, T. M., & Emanuel, W. R. (1995). A global land primary productivity and phytogeography model. Global Biogeochemical Cycles, 9(471), 490.Google Scholar