Abstract
An increase in plantation forestry has been linked to a reduction in streamflows in some catchments. Quantifying the relative contribution of this land-use change on streamflows can be complex when those changes occur during weather extremes such as drought. In this study, the Soil and Water Assessment Tool (SWAT) model was applied to two sub-catchments in south-eastern Australia which have seen the introduction and establishment of plantation land use in the past 15 years, coinciding with severe drought (1997–2009). The models were both manually and auto-calibrated and produced very good fits to observed streamflow data during both calibration (1980–1991) and validation (1992–2009) periods. Sensitivity analyses indicated that the models were most sensitive to soil and groundwater parameterisation. Analysis of drought conditions on streamflows showed significant declines from long-term average streamflows, while assessment of baseflow contributions by the models indicated a mix of over- and underestimation depending on catchment and season. The modelled introduction of plantation forestry did not significantly change streamflows for a scenario which did not include the land-use change, suggesting that the modelled land-use change in the catchments was not sufficiently extensive to have an impact on streamflows despite simulating actual rates of change. The SWAT models developed by this study will be invaluable as a basis for future use in regional climate-change studies and for the assessment of land management and land-use change impact on streamflows.
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References
Abbaspour KC (2011) SWAT-CUP 4: SWAT calibration and uncertainty programs: a user manual. Swiss Federal Institute of Aquatic Science and Technology, Eawag, Duebendorf
Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333:413–430
Arnold JG, Allen PM (1999) Automated methods for estimating baseflow and ground water recharge from streamflow records. J Am Water Resour Assoc 35:411–424
Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. J Am Water Resour Assoc 34:73–89
Arthington AH, Pusey BJ (2003) Flow restoration and protection in Australian rivers. River Res Appl 19:377–395
Australian Greenhouse Office (2000) Land clearing: a social history, technical report 4. National Carbon Accounting System. Australian Greenhouse Office, Canberra
Benyon RG, Doody TM, Theiveyanathan S, Vijay K (2008) Plantation forest water use in southwest Victoria, technical report no. 164. CSIRO, Mount Gambier
Brath A, Montanari A, Moretti G (2006) Assessing the effect on flood frequency of land use change via hydrological simulation (with uncertainty). J Hydrol 324:141–153
Breuer L, Eckhardt K, Frede HG (2003) Plant parameter values for models in temperate climates. Ecol Model 169:237–293
Brown SC, Versace VL, Laurenson L, Ierodiaconou D, Fawcett J, Salzman S (2012) Assessment of spatiotemporal varying relationships between rainfall, land cover and surface water area using geographically weighted regression. Environ Model Assess 17:241–254
Brown SC, Lester RE, Versace VL, Fawcett J, Laurenson L (2014) Hydrologic landscape regionalisation using deductive classification and random forests. PLoS ONE 9:e112856
Bureau of Meteorology (2012) Bureau of Meteorology gridded climate data. http://www.bom.gov.au/climate/averages/climatology/gridded-data-info/gridded-climate-data.shtml. Accessed Mar 2012
Chase TN, Pielke RA, Kittel TGF, Nemani RR, Running SW (2000) Simulated impacts of historical land cover changes on global climate in northern winter. Clim Dyn 16:93–105
Costa MH, Botta A, Cardille JA (2003) Effects of large-scale changes in land cover on the discharge of the Tocantins River, Southeastern Amazonia. J Hydrol 283:206–217
CSIRO (2012) Climate and water availability in south-eastern Australia: a synthesis of findings from phase 2 of the South eastern Australian climate initiative (SEACI). CSIRO, Adelaide
Department of Sustainability and Environment (2008) Climate change in the Glenelg Hopkins region. Department of Sustainability and Environment, Melbourne
Fan J, Tian F, Yang Y, Han S, Qiu G (2010) Quantifying the magnitude of the impact of climate change and human activity on runoff decline in Mian River Basin, China. Water Sci Technol 62:783–791
FAO (2007) Digital soil map of the world, version 3.6. FAO, Rome
Fohrer N, Haverkamp S, Eckhardt K, Frede HG (2001) Hydrologic response to land use changes on the catchment scale. Phys Chem Earth B 26:577–582
Gassman PW, Reyes MR, Green CH, Arnold JG (2007) The soil and water assessment tool: historical development, applications, and future research directions. Trans ASABE 50:1211–1250
Geoscience Australia (2011) 3 second SRTM derived hydrological digital elevation model (DEM-S) version 1.0, ANZLIC unique identifier: ANZCW0703014217. Geoscience Australia, Canberra
Geza M, McCray JE (2008) Effects of soil data resolution on SWAT model stream flow and water quality predictions. J Environ Manag 88:393–406
Girvetz EH, Maurer EP, Duffy P, Ruesch A, Thrasher B, Zganjar C (2013) Making climate data relevant to decision making: the important details of spatial and temporal downscaling. The World Bank
Graetz R, Wilson M, Campbell S (1995) Landcover disturbance over the Australian continent: a contemporary assessment. Biodiversity Series Paper, vol 7. Department of the Environment, Sport and Territories, Canberra
Ierodiaconou D, Laurenson L, Leblanc M, Stagnitti F, Duff G, Salzmann S, Versace VL (2005) The consequences of land use change on nutrient exports: a regional scale assessment in south-west Victoria, Australia. J Environ Manag 74:305–316
Ladson A (2011) Hydrology: an Australian introduction. Oxford University Press, South Melbourne
Lahmer W, Pfützner B, Becker A (2001) Assessment of land use and climate change impacts on the mesoscale. Phys Chem Earth B 26:565–575
Lambin EF, Turner BL, Geist HJ, Agbola SB, Angelsen A, Bruce JW, Coomes OT, Dirzo R, Fischer G, Folke C, George PS, Homewood K, Imbernon J, Leemans R, Li X, Moran EF, Mortimore M, Ramakrishnan PS, Richards JF, Skånes H, Steffen W, Stone GD, Svedin U, Veldkamp TA, Vogel C, Xu J (2001) The causes of land-use and land-cover change: moving beyond the myths. Glob Environ Change 11:261–269
Li Z, Liu WZ, Zhang XC, Zheng FL (2009) Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China. J Hydrol 377:35–42
McMahon TA, Finlayson BL (2003) Droughts and anti-droughts: the low flow hydrology of Australian rivers. Freshwat Biol 48:1147–1160
Moriasi D, Starks P (2010) Effects of the resolution of soil dataset and precipitation dataset on SWAT2005 streamflow calibration parameters and simulation accuracy. J Soil Water Conserv 65:63–78
Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900
Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2011) Soil and Water Assessment Tool: theoretical documentation 2009 vol TR-406. Technical report no. 406 edn. Texas Water Resources Institute—Texas A&M University, College Station
OECD (1996) Guidelines for aid agencies for improved conservation and sustainable use of tropical and sub-tropical wetlands. Organisation for Economic Cooperation and Development, Paris
Peel MC, McMahon TA, Finlayson BL (2010) Vegetation impact on mean annual evapotranspiration at a global catchment scale. Water Resour Res 46:1–16
R Core Team (2014) R: a language and environment for statistical computing, version 3.1.2. R Foundation for Statistical Computing, Vienna. http://www.R-project.org/. Accessed Aug 2014
Ramankutty N, Graumlich L, Achard F, Alves D, Chhabra A, DeFries RS, Foley JA, Geist H, Houghton RA, Goldewijk KK, Lambin EF, Millington A, Rasmussen K, Reid RS, Turner BLT II (2006) Global land-cover change: recent progress, remaining challenges. In: Lambin EF, Geist HJ (eds) Land-use and land-cover change: local processes and global impacts. Springer, New York
Rodriguez Suarez JA, Diaz-Fierros F, Perez R, Soto B (2014) Assessing the influence of afforestation with Eucalyptus globulus on hydrological response from a small catchment in northwestern Spain using the HBV hydrological model. Hydrol Process 28:5561–5572
Romanowicz AA, Vanclooster M, Rounsevell M, La Junesse I (2005) Sensitivity of the SWAT model to the soil and land use data parametrisation: a case study in the Thyle catchment, Belgium. Ecol Model 187:27–39
Saha PP, Zeleke K, Hafeez M (2014) Streamflow modeling in a fluctuant climate using SWAT: Yass River catchment in south eastern Australia. Environ Earth Sci 71:5241–5254
Scott DF, Lesch W (1997) Streamflow responses to afforestation with Eucalyptus grandis and Pinus patula and to felling in the Mokobulaan experimental catchments, South Africa. J Hydrol 199:360–377
Sinclair-Knight-Merz (2008) Water and land use change study: stage 3. Water and land use change in the catchment of the Crawford River. Report to Glenelg Hopkins Catchment Management Authority and Water and Land Use Change Steering Committee. Sinclair-Knight-Merz, Project VW03647
Smedema LK, Rycroft DW (1983) Land drainage: planning and design of agricultural drainage systems. Cornell University Press, Ithaca
Teng J, Chiew FHS, Vaze J, Marvanek S, Kirono DGC (2012) Estimation of climate change impact on mean annual runoff across continental Australia using Budyko and Fu equations and hydrological models. J Hydrometeorol 13:1094–1106
Tollan A (2002) Land-use change and floods: what do we need most, research or management? Water Sci Technol 45:183–190
Versace VL, Ierodiaconou D, Stagnitti F, Hamilton AJ (2008a) Appraisal of random and systematic land cover transitions for regional water balance and revegetation strategies. Agric Ecosyst Environ 123:328–336
Versace VL, Ierodiaconou D, Stagnitti F, Hamilton AJ, Walter MT, Mitchell B, Boland AM (2008b) Regional-scale models for relating land cover to basin surface-water quality using remotely sensed data in a GIS. Environ Monit Assess 142:171–184
Watson BM (2006) A hydrologic model for the Woady Yaloak River catchment. PhD thesis, Deakin University
Xu CY, Singh VP (2004) Review on regional water resources assessment models under stationary and changing climate. Water Resour Manag 18:591–612
Yihdego Y, Webb JA (2011) Modeling of bore hydrographs to determine the impact of climate and land-use change in a temperate subhumid region of southeastern Australia. Hydrogeol J 19:877–887
Yihdego Y, Webb J (2013) An empirical water budget model as a tool to identify the impact of land-use change in stream flow in southeastern Australia. Water Resour Manag 27:4941–4958
Zambrano-Bigiarini M (2014a) hydroGOF: goodness-of-fit functions for comparison of simulated and observed hydrological time series. R package version 0.3-8. http://CRAN.R-project.org/package=hydroGOF. Accessed Aug 2014
Zambrano-Bigiarini M (2014b) hydroTSM: time series management, analysis and interpolation for hydrological modelling. R package version 0.4-2-1. http://CRAN.R-project.org/package=hydroTSM. Accessed Aug 2014
Zedler JB, Kercher S (2005) Wetland resources: status, trends, ecosystem services, and restorability. Annu Rev Environ Resour 30:39–74
Acknowledgments
The authors acknowledge the Cornell University Soil and Water Laboratory for hosting the lead author in 2012 and, in particular, Dr. Daniel Fuka for extensive advice on model calibration. The authors also wish to thank the Glenelg-Hopkins Catchment Management Authority for providing funding to support this project, Dr. Daniel Ierodiaconou for supplying land-cover maps used herein and the two anonymous reviewers for their contributions to the manuscript.
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Brown, S.C., Versace, V.L., Lester, R.E. et al. Assessing the impact of drought and forestry on streamflows in south-eastern Australia using a physically based hydrological model. Environ Earth Sci 74, 6047–6063 (2015). https://doi.org/10.1007/s12665-015-4628-8
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DOI: https://doi.org/10.1007/s12665-015-4628-8