Reduced streamflow in water-stressed climates consistent with CO2 effects on vegetation

Nature Climate Change

Volumn 6, Issue 1, 2016, Pages 75-78

  Ukkola, Anna M ^a   Prentice, I Colin ^a,b   Keenan, Trevor F ^a   Van Dijk, Albert I J M ^c   Viney, Neil R ^d   Myneni, Ranga B ^e   Bi, Jian ^e  

^a MACQUARIE UNIVERSITY   (Australia)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^d CSIRO   (Australia)

^e BOSTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON DIOXIDE; EVAPOTRANSPIRATION; FUTURE PROSPECT; GLOBAL CHANGE; HYDROLOGICAL CYCLE; NDVI; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; RIVER BASIN; SPATIOTEMPORAL ANALYSIS; STREAMFLOW; THRESHOLD; VEGETATION COVER; WATER BUDGET; WATER RESOURCE;

AUSTRALIA;

EID: 84951310804     PISSN: 1758678X     EISSN: 17586798     Source Type: Journal    
DOI: 10.1038/nclimate2831     Document Type: Article

References (40)

1. Gedney, N. et al. Detection of a direct carbon dioxide e-ect in continental river runo-records. Nature 439, 835-838 (2006).
2. Piao, S. et al. Changes in climate and land use have a larger direct impact than rising CO2 on global river runo-trends. Proc. Natl Acad. Sci. USA 104, 15242-15247 (2007).
3. Alkama, R., Decharme, B., Douville, H., Ribes, A. Trends in global and basin-scale runo-over the late twentieth century: Methodological issues and sources of uncertainty. J. Clim. 24, 3000-3014 (2011).
4. Collins, M. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 1029-1136 (IPCC, Cambridge Univ. Press, 2013).
5. Leakey, A. D. B. et al. Elevated CO2 e-ects on plant carbon, nitrogen, and water relations: Six important lessons from FACE. J. Exp. Bot. 60, 2859-2876 (2009).
6. Donohue, R. J., Roderick, M. L., McVicar, T. R., Farquhar, G. D. Impact of CO2 fertilization on maximum foliage cover across the globe's warm, arid environments. Geophys. Res. Lett. 40, 1-5 (2013).
7. Hovenden, M. J., Newton, P. C. D.,Wills, K. E. Seasonal not annual rainfall determines grassland biomass response to carbon dioxide. Nature 511, 583-586 (2014).
8. Newingham, B. A. et al. No cumulative e-ect of 10 years of elevated [CO2] on perennial plant biomass components in the Mojave Desert. Glob. Change Biol. 19, 2168-2181 (2013).
9. Bradley, K. L., Pregitzer, K. S. Ecosystem assembly and terrestrial carbon balance under elevated CO2. Trends Ecol. Evol. 22, 538-547 (2007).
10. Nowak, R. S., Ellsworth, D. S., Smith, S. D. Functional responses of plants to elevated atmospheric CO2-do photosynthetic and productivity data from FACE experiments support early predictions New Phytol. 162, 253-280 (2004).
11. Morgan, J. A. et al.Water relations in grassland and desert ecosystems exposed to elevated atmospheric CO2. Oecologia 140, 11-25 (2004).
12. Raz-Yaseef, N., Rotenberg, E., Yakir, D. E-ects of spatial variations in soil evaporation caused by tree shading on water flux partitioning in a semi-arid pine forest. Agric. Forest Meteorol. 150, 454-462 (2010).
13. Douville, H., Ribes, A., Decharme, B., Alkama, R., She-eld, J. Anthropogenic influence on multidecadal changes in reconstructed global evapotranspiration. Nature Clim. Change 3, 59-62 (2013).
14. Ukkola, A. M., Prentice, I. C. A worldwide analysis of trends in water-balance evapotranspiration. Hydrol. Earth Syst. Sci. 17, 4177-4187 (2013).
15. Myneni, R. B.,Williams, D. L. On the relationship between FAPAR and NDVI. Remote Sens. Environ. 49, 200-211 (1994).
16. Lu, H., Raupach, M. R., McVicar, T. R., Barrett, D. J. Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series. Remote Sens. Environ. 86, 1-18 (2003).
17. Hunt, E. R. Relationship between woody biomass and PAR conversion e-ciency for estimating net primary production from NDVI. Int. J. Remote Sens. 15, 1725-1729 (1994).
18. De Jong, R., de Bruin, S., deWit, A., Schaepman, M. E., Dent, D. L. Analysis of monotonic greening and browning trends from global NDVI time-series. Remote Sens. Environ. 115, 692-702 (2011).
19. Beck, H. E. et al. Global evaluation of four AVHRR-NDVI data sets: Intercomparison and assessment against Landsat imagery. Remote Sens. Environ. 115, 2547-2563 (2011).
20. Glenn, E. P., Huete, A. R., Nagler, P. L., Nelson, S. G. Relationship between remotely-sensed vegetation indices, canopy attributes, and plant physiological processes:What vegetation indices can and cannot tell us about the landscape. Sensors 8, 2136-2160 (2008).
21. Ehleringer, J. R., Cerling, T. E., Helliker, B. R. C4 photosynthesis, atmospheric CO2, and climate. Oecologia 112, 285-299 (1997).
22. Le Quéré, C. et al. Trends in the sources and sinks of carbon dioxide. Nature Geosci. 2, 831-836 (2009).
23. Poulter, B. et al. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509, 600-603 (2014).
24. Pinzon, J. E., Tucker, C. J. A non-stationary 1981-2012 AVHRR NDVI3g time series. Remote Sens. 6, 6929-6960 (2014).
25. Xu, T., Hutchinson, M. F. New developments and applications in the ANUCLIM spatial climatic and bioclimatic modelling package. Environ. Model. Softw. 40, 267-279 (2013).
26. Kesteven, J. L., Landsberg, J. J. Developing a National Forest Productivity Model Technical Report No. 23, 1-102 (Australian Greenhouse O-ce, 2004).
27. Gallego-Sala, A. et al. Bioclimatic envelope model of climate change impacts on blanket peatland distribution in Great Britain. Clim. Res. 45, 151-162 (2010).
28. Raupach, M. R. Equilibrium evaporation and the convective boundary layer. Bound. Layer Meteorol. 96, 107-141 (2000).
29. Raupach, M. R. Combination theory and equilibrium evaporation. Q. J. R. Meteorol. Soc. 127, 1149-1181 (2001).
30. Guerschman, J. P. et al. Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia. J. Hydrol. 369, 107-119 (2009).
31. Zhang, L. et al. A rational function approach for estimating mean annual evapotranspiration.Wat. Resour. Res. 40, W02502 (2004).
32. Zhang, Y. et al. Collation of Australian Modeller's Streamflow Dataset for 780 Unregulated Australian Catchments 1-115 (CSIROWater for a Healthy Country Flagship Report, 2013).
33. Raupach, M. R. et al. AustralianWater Availability Project (AWAP): CSIRO Marine and Atmospheric Research Component: Final Report for Phase 3 Technical Report No. 013 (CAWCR, 2009).
34. UNEP (United Nations Environment Programme)World Atlas of Desertification 182 (Edward Arnold, 1997).
35. Lymburner, L. et al. The National Dynamic Land Cover Dataset 1-95 (Geoscience Australia, 2011).
36. Nemani, R. R. et al. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300, 1560-1563 (2003).
37. Zhang, Y. et al. Decadal trends in evaporation from global energy and water balances. J. Hydrometeorol. 13, 379-391 (2012).
38. Medlyn, B. E. et al. Reconciling the optimal and empirical approaches to modelling stomatal conductance. Glob. Change Biol. 17, 2134-2144 (2011).
39. Prentice, I. C., Dong, N., Gleason, S. M., Maire, V.,Wright, I. J. Balancing the costs of carbon gain and water transport: Testing a new theoretical framework for plant functional ecology. Ecol. Lett. 17, 82-91 (2014).
40. Maire, V. et al. The coordination of leaf photosynthesis links C and N fluxes in C3 plant species. PLoS ONE 7, e38345 (2012).