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2018 | OriginalPaper | Buchkapitel

29. Spatial Modeling of Land Cover/Land Use Change and Its Effects on Hydrology Within the Lower Mekong Basin

verfasst von : Kel N. Markert, Robert E. Griffin, Ashutosh S. Limaye, Richard T. McNider

Erschienen in: Land-Atmospheric Research Applications in South and Southeast Asia

Verlag: Springer International Publishing

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Abstract

The Lower Mekong Basin is an economically and ecologically important region that is vulnerable to effects of climate variability and land cover changes. To effectively develop long-term plans for addressing these changes, responses to climate variability and land cover change must be evaluated. This research aims to investigate how the land cover change will affect hydrologic parameters both spatially and temporally within the Lower Mekong Basin. The research goal is achieved by (1) modeling land cover change for a baseline land cover change scenario as well as changes in land cover with increases in forest or agriculture and (2) using modeled land cover data as inputs into the Variable Infiltration Capacity (VIC) hydrologic model to simulate the changes to the hydrologic system. The VIC model outputs were analyzed against historic values to understand to what degree land cover changes affect the hydrology of the region and where within the region these changes occur. This study found that increasing forest area will slightly decrease discharge and increase evapotranspiration whereas increasing agriculture area increases discharge and decreases evapotranspiration. These findings will benefit the Lower Mekong Basin by supporting individual country, as well as basin-wide, policy for effective land management for water resources management changes as well as policy for the basin as a whole.

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Vorheriges Kapitel Ecosystem Carbon Stock, Atmosphere, and Food Security in Slash-and-Burn Land Use: A Geospatial Study in Mountainous Region of Laos

Nächstes Kapitel Land–Atmosphere Interactions in South Asia: A Regional Earth Systems Perspective

Abdulla FA, Lettenmaier DP, Wood EF, Smith JA (1996) Application of a macroscale hydrologic model to estimate the water balance of the Arkansas–Red River Basin. J Geophys Res 101:7449–7459CrossRef

Al-Hamdan MZ et al (2017) Evaluating land cover changes in Eastern and Southern Africa using validated Landsat and MODIS data. Int J Appl Earth Observ Geoinf 62:8–26. https://doi.org/10.1016/j.jag.2017.04.007 CrossRef

Berrisford P et al (2011) Atmospheric conservation properties in ERA-Interim. Q J R Meteorol Soc 137:1381–1399CrossRef

Bowling LC, Lettenmaier DP (2010) Modeling the effects of lakes and wetlands on the water balance of arctic environments. J Hydrometeorol 11(2):276–295CrossRef

Bowling LC, Pomeroy JW, Lettenmaier DP (2004) Parameterization of blowing-snow sublimation in a macroscale hydrology model. J Hydrometeorol 5(5):745–762CrossRef

Brovkin V, Sitch S, von Bloh W, Claussen M, Bauer E, Cramer W (2004) Role of land cover change for atmospheric CO2 increase and climate change during the last 150 years. Glob Chang Biol 10:1253–1266CrossRef

Burn DH (1997) Catchment similarity for regional flood frequency analysis using seasonality measures. J Hydrol 202:212–230CrossRef

Clay DE et al (2016) Does the U.S. cropland data layer provide and accurate benchmark for land-use change estimates? Agron J 108:266–272CrossRef

Cong Thanh N, Singh B (2006) Trend in rice production and export in Vietnam. Omonrice 14:11–123

Costa-Cabral MC et al (2008) Landscape structure and use, climate, and water movement in the Mekong River Basin. Hydrol Process 22:1731–1746CrossRef

Costenbader J, Broadhead JS, Yasmi Y, Durst PB (2015a) Drivers affecting forest change in the GMS: an overview. FAO/USAID LEAF, Sept 2015

Costenbader J, Varns T, Vidal A, Stanley L, Broadhead JS (2015b) Drivers of forest change in the greater Mekong subregion. Regional Report, FAO/USAID LEAF, Sept 2015

Cuo L et al (2011) Effects of mid-twenty-first century climate and land cover change on the hydrology of the Puget Sound basin, Washington. Hydrol Process 25:1729–1753CrossRef

Danielson JJ, Gesch DB (2011) Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010). Open File Report, US Geological Survey, Reston

Decker M et al (2012) Evaluation of the reanalysis products from GSFC, NCEP, and ECMWF using flux tower observations. J Clim 25:1916–1943CrossRef

Dee DP et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597CrossRef

Dobson JE et al (2000) A global population database for estimating populations at risk. Photogramm Eng Remote Sens 66(7):849–857

Dudgeon D (2000) Large-scale hydrological changes in tropical Asia: prospects for riverine biodiversity. Bioscience 50:793–806CrossRef

Dwarakish GS, Ganasri BP (2015) Impact of land use change on hydrologic systems: a review of current modeling approaches. Cogent Geosci 1:1115691CrossRef

Eastham J et al (2008) Mekong river basin water resource assessment: impacts of climate change. Technical Report, CSIRO

ECMWF (European Centre for Medium-Range Weather Forecasts) (2009) (updated monthly) ERA-Interim Project. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6CR5RD9. Accessed 31 Mar 2016

Fernandes R, Leblanc SG (2005) Parametric (modified least squares) and non-parametric (Theil-Sen) linear regressions for predicting biophysical parameters in the presence of measurement errors. Remote Sens Environ 95:303–316CrossRef

Foody GM (2002) Status of land cover classification accuracy assessment. Remote Sens Environ 80:185–201CrossRef

Francisco HA (2008) Adaptation to climate change—needs and opportunities in Southeast Asia. ASEAN Econ Bull 25(1):7–19CrossRef

Friedl MA et al (2010) MODIS Collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sens Environ 114:168–182CrossRef

Funk C et al (2015) The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Sci Data 2:150066CrossRef

Godin R (2014) Joint Polar Satellite System (JPSS) VIIRS Surface Type Algorithm Theoretical Basis Document (ATBD). Algorithm Theoretical Basis Document (last access: 3 January 2017). https://www.star.nesdis.noaa.gov/jpss/documents/ATBD/D0001-M01-S01-024_JPSS_ATBD_VIIRSSurface-Type_A.pdf

Haddeland I, Lettenmaier DP, Skaugen T (2006a) Effects of irrigation on the water and energy balances of the Colorado and Mekong river basin. J Hydrol 324:210–223CrossRef

Haddeland I, Skaugen T, Lettenmaier DP (2006b) Anthropogenic impacts on continental surface water fluxes. Geophys Res Lett 33(8):L08406CrossRef

Hijmans RJ et al (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978CrossRef

Ito A (2007) Simulated impacts of climate and land-cover change on soil erosion and implications for the carbon cycle, 1901 to 2100. Geophys Res Lett 34:L09403

Justice CO et al (2013) Land and cryosphere products from Suomi NPP VIIRS: overview and status. Geophys Res Lett 118:9753–9765

Keskinen M et al (2010) Climate change and water resources in the Lower Mekong River Basin: putting adaptation into the context. J Water Clim Chang 1:103–117CrossRef

Kibria KN, Ahiablame L, Hay C, Djira G (2016) Streamflow trends and responses to climate variability and land cover change in South Dakota. Hydrology 3

Kingston DG, Thompson JR, Kite G (2011) Uncertainty in climate change projections of discharge for the Mekong River Basin. Hydrol Earth Syst Sci 15:1459–1471CrossRef

Kite G (2001) Modelling the Mekong: hydrological simulation for environmental impact studies. J Hydrol 253:1–13CrossRef

Kityuttachai K, Heng S, Sou V (2016) Land cover map of the Lower Mekong Basin, MRC Technical Paper No. 59, Information and Knowledge Management Programme. Mekong River Commission, Phnom Penh, Cambodia

Kummu M, Sarkkula J (2008) Impact of the Mekong river flow alteration on the Tonle Sap flood pulse. Ambio 37(3):185–192CrossRef

Kummu M, Sarkkula J, Koponen J, Nikula J (2006) Ecosystem management of Tonle Sap Lake: integrated modelling approach. Int J Water Resour Dev 22(3):497–519CrossRef

Lamberts D (2008) Little impact, much damage: the consequences of Mekong River flow alterations for the Tonle Sap ecosystem. In: Kummu M, Keskinen M, Varis O (eds) Modern myths of the Mekong—a critical review of water and development concepts, principles and policies. Water & Development Publications—Helsinki University of Technology, Espoo, pp 3–18

Lauri H et al (2012) Future changes in Mekong River hydrology: impact of climate change and reservoir operation on discharge. Hydrol Earth Syst Sci 16:4603–4619CrossRef

Liang X, Lettenmaier DP, Wood EF, Burges SJ (1994) A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J Geophys Res 99:14415–14428CrossRef

Liu M, Adam JC, Hanlet AF (2013a) Spatial-temporal variations of evapotranspiration and runoff/precipitation ratios responding to the changing climate in the Pacific Northwest during 1921-2006. J Geophys Res Atmos 118:380–394. https://doi.org/10.1029/2012JD018400 CrossRef

Liu X, Liu W, Xia J (2013b) Comparison of the streamflow sensitivity to aridity index between the Danjiangkou Reservoir basin and Miyun Reservoir basin, China. Theor Appl Climatol 111:683–691. https://doi.org/10.1007/s00704-012-0701-3 CrossRef

Liu Y, Li Y, Li S, Motesharrei S (2015) Spatial and temporal patterns of global NDVI trends: correlations with climate and human factors. Remote Sens 7:13233–13250. https://doi.org/10.3390/rs71013233 CrossRef

Lohmann D, Nolte-Holube R, Raschke E (1996) A large-scale horizontal routing model to be coupled to land surface parametrization schemes. Tellus 48:708–721CrossRef

Lohmann D, Raschke E, Nijssen B, Lettenmaier DP (1998) Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrol Sci J 43:131–141CrossRef

Loveland TR, Belward AS (1997) The IGBP-DIS global 1 km land cover data set, DISCover: first results. Int J Remote Sens 18:3289–3295CrossRef

LP DAAC (Land Processes Distributed Active Archive Center) (2010) MCD12Q1. V051, NASA EOSDIS Land Processes DAAC, USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls. https://lpdaac.usgs.gov. Accessed 14 Feb 2016

Matheussen B et al (2000) Effects of land cover change on streamflow in the interior Columbia basin. Hydrol Process 14:867–885CrossRef

Milne R, Jallow BP (2003) Basis for consistent representation of land areas. In: Apps M, Miguez JD (eds) IPCC good practice guidance for LULUCF. pp 2.1–2.29

Moriasi DN et al (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900CrossRef

MRC (Mekong River Commission) (2010) State of the Basin Report: 2010. Mekong River Commission, Vientiane Lao PDR

MRC (Mekong River Commission) (2011) Hydrological database. Mekong River Commission, Vientiane Lao PDR

Nachergaele F, van Vilthuizen H, Verelst L, Wiberg D (2012) Harmonized World Soil Database. Technical Document, United Nations FAO

Nagaraj MK, Yaragal SC (2008) Sensitivity of land cover parameter in runoff estimation using GIS. ISH J Hydraul Eng 14:41–51. https://doi.org/10.1080/09715010.2008.10514891 CrossRef

Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—discussion of principles. J Hydrol 10:282–290CrossRef

Nijssen B, O’Donnell GM, Hamlet AF, LettenMaier DP (2001a) Hydrologic sensitivity of global rivers to climate change. Clim Chang 50:143–175CrossRef

Nijssen B, Schnur R, Lettenmaier DP (2001b) Global retrospective estimation of soil moisture using the variable infiltration capacity land surface model, 1980–93. J Clim 14:1790–1808CrossRef

Nijssen B et al (2001c) Predicting the discharge of global rivers. J Clim 14:3307–3323CrossRef

NOAA CLASS (National Oceanic and Atmospheric Administration Comprehensive Large Array-Data Stewardship System) (2013) VIIRS Surface Type EDR (VSTYO), NOAA CLASS, NOAA Center for Satellite Applications and Research, College Park, Maryland, https://www.class.ncdc.noaa.gov. Accessed 18 July 2016

Olofsson P et al (2014) Good practices for estimating area and assessing accuracy of land change. Remote Sens Environ 148:42–57. https://doi.org/10.1016/j.rse.2014.02.015 CrossRef

Parajka J et al (2009) Comparative analysis of the seasonality of hydrological characteristics in Slovakia and Austria. Hydrol Sci J 54:456–473CrossRef

Pech S, Sunada K (2008) Population growth and natural-resources pressure in the Mekong River Basin. Ambio 37:219–224CrossRef

Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Koppen-Geiger climate classification. Hydrol Earth Syst Sci 11:1633–1644. https://doi.org/10.5194/hess-11-1633-2007 CrossRef

Pontius RG Jr, Schneider LC (2001) Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agric Ecosyst Environ 85:239–248CrossRef

Prathumratana L, Sthiannopkao S, Kim KW (2008) The relationship of climate and hydrologic parameters to surface water quality in the lower Mekong River. Environ Int 34:860–866. https://doi.org/10.1016/j.envint.2007.10.011 CrossRef

Ratnam J et al (2011) When is a ‘forest’ a savanna, and why does it matter? Glob Ecol Biogeogr 20:1–8. https://doi.org/10.1111/j.1466-8238.2010.00634.x CrossRef

Romanic D, Curic M, Jovicic I, Lompar M (2015) Long-term trends of the ‘Koshava’ wind during the period 1949-2010. Int J Climatol 35:288–302. https://doi.org/10.1002/joc.3981 CrossRef

Sakamoto T et al (2006) Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers. Remote Sens Environ 100:1–16CrossRef

Schaake JC (1990) From climate to flow. In: Waggoner PE (ed) Climate change and U.S. water resources. Wiley, New York, pp 177–206

Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389CrossRef

Stehman SV (1996) Estimating the Kappa coefficient and its variance under stratified random sampling. Photogramm Eng Remote Sens 62:401–407

Strahler A et al (1999) MODIS land cover product algorithm theoretical basis document (ATBD) Version 5.0. Technical Document, NASA. https://modis.gsfc.nasa.gov/data/atbd/atbd_mod12.pdf

Tatsumi K, Yamashiki Y (2015) Effect of irrigation water withdrawals on water and energy balance in the Mekong River Basin using an improved VIC land surface model with fewer calibration parameters. Agric Water Manag 159:92–106. https://doi.org/10.1016/j.agwat.2015.05.011 CrossRef

Thompson JR, Green AJ, Kingston DG, Gosling SN (2013) Assessment of uncertainty in river flow projections for the Mekong River using multiple GCMs and hydrological models. J Hydrol 486:1–30. https://doi.org/10.1016/j.jhydrol.2013.01.029 CrossRef

Tote C et al (2015) Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique. Remote Sens 7:1758–1776. https://doi.org/10.3390/rs70201758 CrossRef

Trenberth KE, Fasullo JT, Mackaro J (2011) Atmospheric moisture transports from Ocean to land and global energy flows in reanalyses. J Clim 24:4907–4924. https://doi.org/10.1175/2011JCLI1471.1 CrossRef

Verburg PH et al (2002) Modeling the spatial dynamics of regional land use: the CLUE-S model. Environ Manag 30:391–405. https://doi.org/10.1007/s00267-002-2630-x CrossRef

Wijesekara GN et al (2012) Assessing the impact of future land-use changes on hydrological processes in the Elbow River watershed in southern Alberta, Canada. J Hydrol 412:220–232CrossRef

Zheng J, Yu X, Deng W, Wang H, Wang Y (2013) Sensitivity of land-use change to streamflow in Chaobai river basin. J Hydrol Eng 18:457–464. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000669 CrossRef

Titel: Spatial Modeling of Land Cover/Land Use Change and Its Effects on Hydrology Within the Lower Mekong Basin
verfasst von: Kel N. Markert
Robert E. Griffin
Ashutosh S. Limaye
Richard T. McNider
Verlag: Springer International Publishing
Buch: Land-Atmospheric Research Applications in South and Southeast Asia
Print ISBN: 978-3-319-67473-5

Electronic ISBN: 978-3-319-67474-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-67474-2_29

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