Climate controls how ecosystems size the root zone storage capacity at catchment scale

Geophysical Research Letters

Volumn 41, Issue 22, 2014, Pages 7916-7923

  Gao, H ^a   Hrachowitz, M ^a   Schymanski, S J ^b   Fenicia, F ^a,c   Sriwongsitanon, N ^d   Savenije, H H G ^a,e  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b ETH ZURICH   (Switzerland)

^c SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^d KASETSART UNIVERSITY   (Thailand)

^e UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

Author keywords

catchment hydrology; ecohydrology; ecosystems; hydroclimatology; rooting depth; storage capacity

Indexed keywords

BRIDGES; BUFFER STORAGE; CLIMATE MODELS; DIGITAL STORAGE; ECOLOGY; ECOSYSTEMS; HYDROLOGY; MOISTURE; MOISTURE CONTROL; RESERVOIRS (WATER); RUNOFF;

CATCHMENT HYDROLOGY; ECO-HYDROLOGY; HYDRO CLIMATOLOGIES; ROOTING DEPTHS; STORAGE CAPACITY;

CATCHMENTS;

CATCHMENT; ECOHYDROLOGY; ENGINEERING; RHIZOSPHERE; SEASONALITY; TERRESTRIAL ECOSYSTEM; TRANSPIRATION; VEGETATION STRUCTURE;

EID: 84923321566     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2014GL061668     Document Type: Article

References (62)

1. Agehara, S., and, D. D. Warncke, (2005), Soil moisture and temperature effects on nitrogen release from organic nitrogen sources, Soil Sci. Soc. Am. J., 69 (6), 1844-1855.
2. Bates, C. G., (1921), First results in the streamflow experiment, Wagon Wheel Gap, Colorado, J. For., 19 (4), 402-408.
3. Blöschl, G., M. Sivapalan, T. Wagener, A. Viglione, and, H. Savenije, (2013), Runoff prediction in ungauged basins: Synthesis across processes, places and scales, Cambridge Univ. Press, Cambridge, U. K.
4. Breshears, D. D., and, F. J. Barnes, (1999), Interrelationships between plant functional types and soil moisture heterogeneity for semiarid landscapes within the grassland/forest continuum: A unified conceptual model, Landscape Ecol., 14 (5), 465-478.
5. Briggs, J. M., and, A. K. Knapp, (1995), Interannual variability in primary production in tallgrass prairie: Climate, soil moisture, topographic position, and fire as determinants of aboveground biomass, Am. J. Bot., 82, 1024-1030.
6. Budyko, M. I., and, D. H. Miller, (1974), Climate and Life, Academic Press, London.
7. De Laat, A. T. J., and, A. N. Maurellis, (2006), Evidence for influence of anthropogenic surface processes on lower tropospheric and surface temperature trends, Int. J. Climatol., 26 (7), 897-913.
8. Dirmeyer, P. A., R. D. Koster, and, Z. Guo, (2006), Do global models properly represent the feedback between land and atmosphere?, J. Hydrometeorol., 7 (6), 1177-1198
9. Donohue, R. J., M. L. Roderick, and, T. R. McVicar, (2007), On the importance of including vegetation dynamics in Budyko's hydrological model, Hydrol. Earth Syst. Sci., 11 (2), 983-995.
10. Donohue, R. J., M. L. Roderick, and, T. R. McVicar, (2012), Roots, storms and soil pores: Incorporating key ecohydrological processes into Budyko's hydrological model, J. Hydrol., 436-437 (0), 35-50.
11. Eagleson, P. S., (1978), Climate, soil, and vegetation: 6. Dynamics of the annual water balance, Water Resour. Res., 14 (5), 749-764.
12. Eagleson, P. S., (1982), Ecological optimality in water-limited natural soil-vegetation systems: 1. Theory and hypothesis, Water Resour. Res., 18 (2), 325-340.
13. Fenicia, F., J. J. McDonnell, and, H. H. G. Savenije, (2008), Learning from model improvement: On the contribution of complementary data to process understanding, Water Resour. Res., 44, W06419, doi: 10.1029/2007WR006386.
14. Field, C. B., F. S. Chapin, P. A. Matson, and, H. A. Mooney, (1992), Responses of terrestrial ecosystems to the changing atmosphere: A resource-based approach, Annu. Rev. Ecol. Syst., 23, 201-235.
15. Gentine, P., P. D'Odorico, B. R. Lintner, G. Sivandran, and, G. Salvucci, (2012), Interdependence of climate, soil, and vegetation as constrained by the Budyko curve, Geophys. Res. Lett., 39, L19404, doi: 10.1029/2012GL053492.
16. Gumbel, E. J., (1935), Les valeurs extrêmes des distributions statistiques, Annales de l'institut Henri Poincaré, 5 (2), 115-158.
17. Gupta, H. V., H. Kling, K. K. Yilmaz, and, G. F. Martinez, (2009), Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377 (1-2), 80-91.
18. Hargreaves, G. H., and, Z. A. Samani, (1982), Estimating potential evapotranspiration, J. Irrig. Drain. Div., 108 (3), 225-230.
19. Harman, C., and, P. A. Troch, (2014), What makes Darwinian hydrology " Darwinian" ? Asking a different kind of question about landscapes, Hydrol. Earth Syst. Sci., 18 (2), 417-433.
20. Harte, J., (2002), Toward a synthesis of the Newtonian and Darwinian worldviews, Phys. Today, 55 (10), 29-34.
21. Hazen, A., (1914), Storage to be provided in impounded reservoirs for municipal water supply, Trans. Am. Soc. Civil Eng., 77, 1539-1640.
22. Horton, R. E., (1933), The Rôle of infiltration in the hydrologic cycle, Eos Trans. AGU, 14 (1), 446-460.
23. Howard, D. M., and, P. J. A. Howard, (1993), Relationships between CO ~ 2 evolution, moisture content and temperature for a range of soil types, Soil Biol. Biochem., 25, 1537-1537.
24. Hrachowitz, M., et al. (2013), A decade of Predictions in Ungauged Basins (PUB)-A review, Hydrol. Sci. J., 58 (6), 1198-1255.
25. Huang, M., S. L. Barbour, A. Elshorbagy, J. Zettl, and, B. C. Si, (2013), Effects of variably layered coarse textured soils on plant available water and forest productivity, Procedia Environ. Sci., 19, 148-157.
26. Jenerette, G. D., G. A. Barron-Gafford, A. J. Guswa, J. J. McDonnell, and, J. C. Villegas, (2012), Organization of complexity in water limited ecohydrology, Ecohydrology, 5 (2), 184-199.
27. Kleidon, A., (2004), Global datasets of rooting zone depth inferred from inverse methods, J. Clim., 17 (13), 2714-2722.
28. Kleidon, A., and, M. Heimann, (1998), A method of determining rooting depth from a terrestrial biosphere model and its impacts on the global water and carbon cycle, Global Change Biol., 4 (3), 275-286.
29. Klemeš, V., (1997), Water storage: Source of inspiration and desperation, in Reflections on Hydrology: Science and Practice, edited by, N. Buras, pp. 286-314, AGU, Washington D. C.
30. Kolb, T. E., K. C. Steiner, L. H. McCormick, and, T. W. Bowersox, (1990), Growth response of northern red-oak and yellow-poplar seedlings to light, soil moisture and nutrients in relation to ecological strategy, For. Ecol. Manage., 38 (1), 65-78.
31. Kumar, P., and, B. L. Ruddell, (2010), Information driven ecohydrologic self-organization, Entropy, 12 (10), 2085-2096.
32. Kurc, S. A., and, E. E. Small, (2007), Soil moisture variations and ecosystem-scale fluxes of water and carbon in semiarid grassland and shrubland, Water Resour. Res., 43, W06416, doi: 10.1029/2006WR005011.
33. Laio, F., A. Porporato, L. Ridolfi, and, I. Rodriguez-Iturbe, (2001), Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress: II. Probabilistic soil moisture dynamics, Adv. Water Resour., 24 (7), 707-723.
34. Legates, D. R., R. Mahmood, D. F. Levia, T. L. DeLiberty, S. M. Quiring, C. Houser, and, F. E. Nelson, (2011), Soil moisture: A central and unifying theme in physical geography, Prog. Phys. Geogr., 35 (1), 65-86.
35. Milly, P. C. D., (1994), Climate, soil water storage, and the average annual water balance, Water Resour. Res., 30 (7), 2143-2156.
36. Milly, P. C. D., and, K. A. Dunne, (1994), Sensitivity of the global water cycle to the water-holding capacity of land, J. Clim., 7 (4), 506-526.
37. Niu, G.-Y., et al. (2011), The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements, J. Geophys. Res., 116, D12109, doi: 10.1029/2010JD015139.
38. Pastor, J., and, W. M. Post, (1986), Influence of climate, soil moisture, and succession on forest carbon and nitrogen cycles, Biogeochemistry, 2 (1), 3-27.
39. Phillips, J. D., (2009), Soils as extended composite phenotypes, Geoderma, 149 (1), 143-151.
40. Porporato, A., E. Daly, and, I. Rodriguez-Iturbe, (2004), Soil water balance and ecosystem response to climate change, Am. Nat., 164 (5), 625-632.
41. Ray, R. L., and, J. M. Jacobs, (2007), Relationships among remotely sensed soil moisture, precipitation and landslide events, Nat. Hazards, 43 (2), 211-222.
42. Rippl, W., (1883), The capacity of storage reservoirs for water supply, Minutes Proc. Inst. Civil Eng., 71, 270-278.
43. Rodriguez-Iturbe, I., (2000), Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamies, Water Resour. Res., 36 (1), 3-9.
44. Rodriguez-Iturbe, I., P. D'Odorico, F. Laio, L. Ridolfi, and, S. Tamea, (2007), Challenges in humid land ecohydrology: Interactions of water table and unsaturated zone with climate, soil, and vegetation, Water Resour. Res., 43, W09301, doi: 10.1029/2007WR006073.
45. Saxton, K. E., and, W. J. Rawls, (2006), Soil water characteristic estimates by texture and organic matter for hydrologic solutions, Soil Sci. Soc. Am. J., 70 (5), 1569-1578.
46. Sayama, T., J. J. McDonnell, A. Dhakal, and, K. Sullivan, (2011), How much water can a watershed store?, Hydrol. Process., 25 (25), 3899-3908.
47. Schaake, J., S. Cong, and, Q. Duan, (2006), The US MOPEX data set, IAHS Publ., 307, 9.
48. Schenk, H. J., (2006), Vertical vegetation structure below ground: Scaling from root to globe, in Progress in Botany, edited by, K. Esser, et al., pp. 341-373, Springer, Heidelberg, Germany.
49. Schenk, H. J., (2008), The shallowest possible water extraction profile: A null model for global root distributions, Vadose Zone J., 7 (3), 1119-1124.
50. Schenk, H. J., and, R. B. Jackson, (2002a), Rooting depths, lateral root spreads and below-ground/above-ground allometries of plants in water-limited ecosystems, J. Ecol., 90 (3), 480-494.
51. Schenk, H. J., and, R. B. Jackson, (2002b), The global biogeography of roots, Ecol. Monogr., 72 (3), 311-328.
52. Schymanski, S. J., M. Sivapalan, M. L. Roderick, J. Beringer, and, L. B. Hutley, (2008), An optimality-based model of the coupled soil moisture and root dynamics, Hydrol. Earth Syst. Sci., 12 (3), 913-932.
53. Seeger, M., M. P. Errea, S. Begueria, J. Arnaez, C. Marti, and, J. M. Garcia-Ruiz, (2004), Catchment soil moisture and rainfall characteristics as determinant factors for discharge/suspended sediment hysteretic loops in a small headwater catchment in the Spanish Pyrenees, J. Hydrol., 288 (3), 299-311.
54. Seneviratne, S. I., et al. (2013), Impact of soil moisture-climate feedbacks on CMIP5 projections: First results from the GLACE-CMIP5 experiment, Geophys. Res. Lett., 40, 5212-5217, doi: 10.1002/grl.50956.
55. Thompson, S. E., C. J. Harman, A. G. Konings, M. Sivapalan, A. Neal, and, P. A. Troch, (2011), Comparative hydrology across AmeriFlux sites: The variable roles of climate, vegetation, and groundwater, Water Resour. Res., 47, W00J07, doi: 10.1029/2010WR009797.
56. Troch, P. A., G. F. Martinez, V. R. N. Pauwels, M. Durcik, M. Sivapalan, C. Harman, P. D. Brooks, H. Gupta, and, T. Huxman, (2009), Climate and vegetation water use efficiency at catchment scales, Hydrol. Process., 23 (16), 2409-2414.
57. Van Breemen, N., (1993), Soils as biotic constructs favouring net primary productivity, Geoderma, 57 (3), 183-211.
58. Vrugt, J. A., H. V. Gupta, L. A. Bastidas, W. Bouten, and, S. Sorooshian, (2003), Effective and efficient algorithm for multiobjective optimization of hydrologic models, Water Resour. Res., 39 (8), 1214, doi: 10.1029/2002WR001746.
59. Wang, K., P. Wang, Z. Li, M. Cribb, and, M. Sparrow, (2007), A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature, J. Geophys. Res., 112, D15107, doi: 10.1029/2006JD008351.
60. Wiken, E., F. Jimenez Nava, and, G. Griffith, (2011), North American Terrestrial Ecoregions-Level III, edited by CfE Cooperation, Comm. for Environ. Coop., Montreal, Canada.
61. Williams, C. A., et al. (2012), Climate and vegetation controls on the surface water balance: Synthesis of evapotranspiration measured across a global network of flux towers, Water Resour. Res., 48, W06523, doi: 10.1029/2011WR011586.
62. Zhao, R. J., and, X. R. Liu, (1995), The Xinangjiang model, in Computer Models of Watershed Hydrology, edited by, V. P. Singh, pp. 215-232, Water Resour. Publ., Colo.