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干旱区科学  2020, Vol. 12 Issue (5): 717-729    DOI: 10.1007/s40333-020-0070-1
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Changes in rainfall partitioning caused by the replacement of native dry forests of Lithraea molleoides by exotic plantations of Pinus elliottii in the dry Chaco mountain forests, central Argentina
Samia S CORTéS1, Juan I WHITWORTH-HULSE2,3, Eduardo L PIOVANO1, Diego E GURVICH2, Patricio N MAGLIANO3,4,*()
1Land Science Research Center (CICTERRA-CONICET) and National University of Córdoba, Av. Vélez Sarsfield 1611, X5016GCA Córdoba, Argentina
2Multidisciplinary Institute of Plant Biology, National University of Córdoba and CONICET, CC 495, X5000JJC Córdoba, Argentina
3Environmental Study Group, Institute of Applied Maths of San Luis, National University of San Luis and CONICET, Ejército de los Andes 950, D5700HHW San Luis, Argentina
4Department of Biology, Faculty of Chemistry, Biochemistry and Pharmacy, National University of San Luis, Ejército de los Andes 950, D5700HHW San Luis, Argentina
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Abstract: 

The replacement of native dry forests by commercial (exotic) tree plantations could generate changes in rainfall partitioning, which further affects the water cycle. In this study, we determined (i) the rainfall partitioning into interception, throughfall and stemflow, (ii) the role of rainfall event size on rainfall partitioning, (iii) the pH of water channelized as throughfall and stemflow, and (iv) the runoff in Lithraea molleoides (a native species) and Pinus elliottii (an exotic species) stands in the dry Chaco mountain forests, central Argentina. On average, interception, throughfall and stemflow accounted for 19.3%, 79.5% and 1.2% of the gross rainfall in L. molleoides stand, and 32.6%, 66.7% and 0.7% of the gross rainfall in P. elliottii stand, respectively. Amounts of interception, throughfall and stemflow presented positive linear relationships with the increment of rainfall event size for both tree species (P<0.01 in all cases). Percentages of interception, throughfall and stemflow were all related to the increment of rainfall event size, showing different patterns. With increasing rainfall event size, interception exponentially decreased, throughfall asymptotically increased and stemflow linearly increased. Both P. elliottii and L. molleoides stands presented significant differences in the pH values of water channelized as throughfall (6.3 vs. 6.7, respectively; P<0.01) and stemflow (4.5 vs. 5.8, respectively; P<0.01). Runoff occupied only 0.3% of the gross rainfall in P. elliottii stand and was zero in L. molleoides stand. Our results showed that the native species L. molleoides presented 13.6% more water reaching the topsoil (i.e., net rainfall; net rainfall=gross rainfall-interception-runoff) than the exotic species P. elliottii. This study improves our understanding of the effects of native vegetation replacement on the local water balance in the dry forest ecosystems.

Key words:  drylands    ecohydrology    land use changes    spatial heterogeneity    water-limited environments
收稿日期:  2020-03-22      修回日期:  2020-05-18      接受日期:  2020-07-09      出版日期:  2020-09-10      发布日期:  2020-09-10      期的出版日期:  2020-09-10
引用本文:    
. [J]. 干旱区科学, 2020, 12(5): 717-729.
Samia S CORTéS, Juan I WHITWORTH-HULSE, Eduardo L PIOVANO, Diego E GURVICH, Patricio N MAGLIANO. Changes in rainfall partitioning caused by the replacement of native dry forests of Lithraea molleoides by exotic plantations of Pinus elliottii in the dry Chaco mountain forests, central Argentina. Journal of Arid Land, 2020, 12(5): 717-729.
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http://jal.xjegi.com/CN/10.1007/s40333-020-0070-1  或          http://jal.xjegi.com/CN/Y2020/V12/I5/717
  
  
  
  
  
Reference Pinus species Percentage (%)
Interception Throughfall Stemflow
Lilienfein and Wilcke (2004) P. caribaea 24.5 80.0 0.5
McKee and Carlyle-Moses (2017) P. contorta - - 1.8
Carlyle-Moses et al. (2014) P. contorta 40.6 59.4 0.0
Anderson and Pyatt (1986) P. contorta 29.0 61.0 10.0
Sadeghi et al. (2016) P. eldarica 45.0 51.0 4.0
van Stan et al. (2017) P. elliottii 35.5 64.5 0.1
Molina and del Campo (2012) P. halepensis - 55.9 1.5
Shachnovich et al. (2008) P. halepensis - - 1.6
Ji and Cai (2015) P. koraiensis 21.5 76.8 1.8
Chai et al. (2013) P. koraiensis 25.6 72.6 1.7
Domingo et al. (1994) P. nigra - 84.3 12.3
Certini et al. (1998) P. nigra - 70.0 3.7
Miller and Williams (1974) P. nigra - 66.0 3.0
Valente et al. (1997) P. pinaster 17.1 82.6 0.3
Domingo et al. (1994) P. pinaster - 85.9 1.5
Silva and Rodriguez (2001) P. pinaster 17.1 82.6 0.3
Mazza et al. (2011) P. pinea 31.5 68.5 0.2
Licata et al. (2011) P. ponderosa 19.5 74.0 3.0
Navar (2011) P. pseudostrobus - - 0.4
Silva and Rodriguez (2001) P. pseudostrobus 19.2 - 0.6
Fahey et al. (2001) P. radiata 20.0 75.0 5.0
Ayd?n et al. (2018) P. sylvestris 20.2 73.9 5.9
Cayuela et al. (2018) P. sylvestris - - 1.0
Soulsby et al. (2017) P. sylvestris 46.0 55.0 1.3
Liu et al. (2016) P. sylvestris 29.5 69.3 1.3
Cape et al. (1991) P. sylvestris 20.0 64.5 10.5
Abrahamson et al. (1998) P. taeda 9.5 84.0 3.4
This study P. elliottii 32.6 66.7 0.7
Mean 26.5 70.6 2.8
CV 37.7 14.3 118.3
  
[1] Abrahamson D A, Dougherty P M, Zarnoch S J. 1998. Hydrological components of a young loblolly pine plantation on a sandy soil with estimates of water use and loss. Water Resources Research, 34(12): 3503-3513.
[2] Akaike H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19: 716-723.
[3] Anderson A R, Pyatt D G. 1986. Interception of precipitation by pole-stage Sitka spruce and lodgepole pine and mature Sitka spruce at Kielder Forest, Northumberland. Forestry: An International Journal of Forest Research, 59(1): 29-38.
[4] Aydın M, Güneş Şen S, Celik S. 2018. Throughfall, stemflow, and interception characteristics of coniferous forest ecosystems in the western black sea region of Turkey (Daday example). Environmental Monitoring and Assessment, 190: 316-326.
doi: 10.1007/s10661-018-6657-8 pmid: 29713807
[5] Baldi G, Jobbágy E G. 2012. Land use in the dry subtropics: Vegetation composition and production across contrasting human contexts. Journal of Arid Environments, 76: 115-127.
doi: 10.1016/j.jaridenv.2011.08.016
[6] Bates R G1964. Determination of pH: Theory and practice. Journal of the American Chemical Society, 86(18): 3912.
[7] Cape J, Brown A, Robertson S, et al. 1991. Interspecies comparisons of throughfall and stemflow at three sites in northern Britain. Forest Ecology and Management, 46(3-4): 165-177.
doi: 10.1016/0378-1127(91)90229-O
[8] Carlyle-Moses D E. 2004. Throughfall, stemflow, and canopy interception loss fluxes in a semi-arid Sierra Madre Oriental matorral community. Journal of Arid Environments, 58(2): 181-202.
doi: 10.1016/S0140-1963(03)00125-3
[9] Cayuela C, Llorens P, Sánchez-Costa E, et al. 2018. Effect of biotic and abiotic factors on inter- and intra-event variability in stemflow rates in oak and pine stands in a Mediterranean mountain area. Journal of Hydrology, 560: 396-406.
doi: 10.1016/j.jhydrol.2018.03.050
[10] Certini G, Ugolini F C, Corti G, et al. 1998. Early stages of podzolization under Corsican pine (Pinus nigra Arn. ssp. laricio). Geoderma, 83(1-2): 103-125.
[11] Chai R, Cai T, Man X, et al. 2013. Simulation of rainfall interception process of primary Korean pine forest in Xiaoxing'an Mountains by using the modified Gash model. Acta Ecologica Sinica, 33(4): 1276-1284. (in Chinese)
[12] Cortés S. 2018. Hydrological study in mountain basins subjected to different land use (forest vs. native), Sierras Grandes, Córdoba. PhD Dissertation. Córdoba: National University of Córdoba. (in Spanish)
[13] de Queiroz M G, da Silva T G F, Zolnier S, et al. 2020. Partitioning of rainfall in a seasonal dry tropical forest. Ecohydrology & Hydrobiology, 20(2): 230-242.
[14] Domingo F, Puigdefabregas J, Moro M J.et al. 1994. Role of vegetation cover in the biogeochemical balances of a small afforested catchment in southeastern Spain. Journal of Hydrology, 159(1-4): 275-289.
[15] Dorado M, Astini E, Verzino G, et al. 1997. Growth curves for Pinus elliottii, Pinus taeda and Pinus radiata in two areas of the Calamuchita Valley (Córdoba, Argentina). Forest Ecology and Management, 95(2): 173-181.
[16] Dunkerley D. 2000. Measuring interception loss and canopy storage in dryland vegetation: A brief review and evaluation of available research strategies. Hydrological Processes, 14(4): 669-678.
[17] Eberbach P L. 2003. The eco-hydrology of partly cleared, native ecosystems in southern Australia: A review. Plant and Soil, 257: 357-369.
[18] Ellison D, Morris C E, Locatelli B, et al. 2017. Trees, forests and water: Cool insights for a hot world. Global Environmental Change, 43: 51-61.
[19] Fahey B, Watson A, Payne J. 2001. Water loss from plantations of Douglas-fir and radiata pine on the Canterbury Plains, South Island, New Zealand. Journal of Hydrology (New Zealand), 40: 77-96.
[20] Fan J L, Oestergaard K T, Guyot A, et al. 2014. Measuring and modeling rainfall interception losses by a native Banksia woodland and an exotic pine plantation in subtropical coastal Australia. Journal of Hydrology, 515: 156-165.
[21] Fan J L, Baumgartl T, Scheuermann A, et al. 2015. Modeling effects of canopy and roots on soil moisture and deep drainage. Vadose Zone Journal, 14(2): 1565-1576.
[22] Farley K A, Jobbágy E G, Jackson R B. 2005. Effects of afforestation on water yield: A global synthesis with implications for policy. Global Change Biology, 11(10): 1565-1576.
[23] Fensholt R, Sandholt I, Rasmussen M S. 2004. Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 91(3-4): 490-507.
[24] Gasparri N I, Baldi G. 2013. Regional patterns and controls of biomass in semiarid woodlands: Lessons from the Northern Argentina Dry Chaco. Regional Environmental Change, 13: 1131-1144.
[25] Gavier-Pizarro G I, Bucher E H. 2004. Deforestation of the Sierras Chicas of Córdoba (Argentina) in the Period 1970-1997. Córdoba: National Academy of Sciences, 1-27. (in Spanish)
[26] Giorgis M A, Cingolani A M, Gurvich D E, et al. 2017. Changes in floristic composition and physiognomy are decoupled along elevation gradients in central Argentina. Applied Vegetation Science, 20(4): 558-571.
[27] Hansen M C, Potapov P V, Moore R, et al. 2013. High-resolution global maps of 21st-century forest cover change. Science, 342(6160): 850-853.
doi: 10.1126/science.1244693 pmid: 24233722
[28] He Z B, Yang J J, Du J, et al. 2014. Spatial variability of canopy interception in a spruce forest of the semiarid mountain regions of China. Agricultural and Forest Meteorology, 188: 58-63.
[29] Hervé-Fernandez P, Oyarzún C E, Woelfl S. 2016. Throughfall enrichment and stream nutrient chemistry in small headwater catchments with different land cover in southern Chile. Hydrological Processes, 30(26): 4944-4955.
[30] Hoekstra J M, Boucher T M, Ricketts T H, et al. 2005. Confronting a biome crisis: Global disparities of habitat loss and protection. Ecology Letters, 8(1): 23-29.
[31] Houspanossian J, Giménez R, Baldi G, et al. 2016. Is aridity restricting deforestation and land uses in the South American Dry Chaco? Journal of Land Use Science, 11(4): 369-383.
[32] Hoyos L E, Cingolani A M, Zak M R.et al. 2013. Deforestation and precipitation patterns in the arid Chaco forests of central Argentina. Applied Vegetation Science, 16(2): 260-271.
[33] Ji Y, Cai T J. 2015. Canopy interception in original Korean pine forest: Measurement and dividual simulation in Xiaoxing'an Mountains, northeastern China. Journal of Beijing Forestry University, 37(10): 41-49. (in Chinese)
[34] Jobbágy E G, Nosetto M D, Santoni C S, et al. 2008. The ecohydrological challenge of the transitions between woody and herbaceous systems in the Chaco-Pampas plain. Ecología Austral, 18: 305-322. (in Spanish)
[35] Jobbágy E G, Acosta A M, Nosetto M D. 2013. Water yield in primary watersheds under grasslands and pine plantations in the hills of Córdoba (Argentina). Ecología Austral, 23: 87-96. (in Spanish)
[36] Karlin M S, Karlin U O, Coirini R O, et al. 2013. The Arid Chaco. Córdoba: National University of Córdoba, 1-420. (in Spanish).
[37] Kochian L V. 1995. Cellular mechanisms of aluminum toxicity and resistance in plants. Annual Review of Plant Biology, 46: 237-260.
[38] Kothyari B, Verma P, Joshi B, et al. 2004. Rainfall-runoff-soil and nutrient loss relationships for plot size areas of bhetagad watershed in Central Himalaya, India. Journal of Hydrology, 293(1-4): 137-150.
[39] Levia D F, Frost E E. 2003. A review and evaluation of stemflow literature in the hydrologic and biogeochemical cycles of forested and agricultural ecosystems. Journal of Hydrology, 274(1-4): 1-29.
[40] Levia D F, Germer S. 2015. A review of stemflow generation dynamics and stemflow-environment interactions in forests and shrublands. Reviews of Geophysics, 53(3): 673-714.
[41] Li X Y, Liu L Y, Gao S H, et al. 2008. Stemflow in three shrubs and its effect on soil water enhancement in semiarid loess region of China. Agricultural and Forest Meteorology, 148(10): 1501-1507.
[42] Licata J A, Pypker T G, Weigandt M, et al. 2011. Decreased rainfall interception balances increased transpiration in exotic ponderosa pine plantations compared with native cypress stands in Patagonia, Argentina. Ecohydrology, 4(1): 83-93.
[43] Lilienfein J, Wilcke W. 2004. Water and element input into native, agri- and silvicultural ecosystems of the Brazilian savanna. Biogeochemistry, 67: 183-212.
[44] Liu X P, He Y H, Zhao X Y, et al. 2016. The response of soil water and deep percolation under Caragana microphylla to rainfall in the Horqin Sand Land, northern China. CATENA, 139: 82-91.
[45] Llorens P, Domingo F. 2007. Rainfall partitioning by vegetation under Mediterranean conditions. A review of studies in Europe. Journal of Hydrology, 335(1-2): 37-54.
[46] Loik M E, Breshears D D, Lauenroth W K, et al. 2004. A multi-scale perspective of water pulses in dryland ecosystems: Climatology and ecohydrology of the western USA. Oecologia, 141: 269-281.
doi: 10.1007/s00442-004-1570-y pmid: 15138879
[47] Ludwig J A, Wilcox B P, Breshears D D, et al. 2005. Vegetation patches and runoff-erosion as interacting ecohydrological processes in semiarid landscapes. Ecology, 86(2): 288-297.
[48] Magliano P N, Fernández R J, Mercau J L, at al. 2015. Precipitation event distribution in central Argentina: Spatial and temporal patterns. Ecohydrology, 8(1): 94-104.
[49] Magliano P N, Fernández R J, Giménez R, et al. 2016. Changes in water fluxes partition in the arid Chaco caused by the replacement of forest by pastures. Ecología Austral, 26: 95-106. (in Spanish)
[50] Magliano P N, Whitworth-Hulse J I, Baldi G. 2019a. Interception, throughfall and stemflow partition in drylands: Global synthesis and meta-analysis. Journal of Hydrology, 568: 638-645.
[51] Magliano P N, Whitworth-Hulse J I, Florio E L, et al. 2019b. Interception loss, throughfall and stemflow by Larrea divaricata: The role of rainfall characteristics and plant morphological attributes. Ecological Research, 34(6): 753-764.
[52] Mazza G, Amorini E, Cutini A, et al. 2011. The influence of thinning on rainfall interception by Pinus pinea L. in Mediterranean coastal stands (Castel Fusano-Rome). Annals of Forest Science, 68: 1323-1332.
[53] McKee A J, Carlyle-Moses D E. 2017. Modelling stemflow production by juvenile lodgepole pine (Pinus contorta var. latifolia) trees. Journal of Forestry Research, 28: 565-576.
[54] Miller H G, Williams B L. 1974. Research on forest soils and tree nutrition. In: Report on Forest Research. Forestry Commission, UK, 60-61.
[55] Molina A J, del Campo A D. 2012. The effects of experimental thinning on throughfall and stemflow: A contribution towards hydrology-oriented silviculture in Aleppo pine plantations. Forest Ecology and Management, 269: 206-213.
[56] Návar J, Bryan R. 1990. Interception loss and rainfall redistribution by three semi-arid growing shrubs in northeastern Mexico. Journal of Hydrology, 115(1-4): 51-63.
[57] Návar J. 2011. Stemflow variation in Mexico's northeastern forest communities: Its contribution to soil moisture content and aquifer recharge. Journal of Hydrology, 408(1-2): 35-42.
[58] Nosetto M D, Jobbágy E G, Brizuela A B, et al. 2012. The hydrologic consequences of land cover change in central Argentina. Agriculture, Ecosystems and Environment, 154: 2-11.
[59] Nouwakpo S K, Williams C J, Al-Hamdan O Z, et al. 2016. A review of concentrated flow erosion processes on rangelands: Fundamental understanding and knowledge gaps. International Soil and Water Conservation Research, 4(2): 75-86.
[60] Olson D M, Dinerstein E, Wikramanayake E D, et al. 2001. Terrestrial Ecoregions of the World: A New Map of Life on Earth: A new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. BioScience, 51(11): 933-938.
[61] Oyarzabal M, Clavijo J, Oakley L, et al. 2018. Vegetation units of Argentina. Ecología Austral, 28: 40-63. (in Spanish)
[62] Pennington T R, Prado D E, Pendry C A. 2000. Neotropical seasonally dry forests and Quaternary vegetation changes. Journal of Biogeography, 27(2): 261-273.
[63] Qualls R G. 2020. Role of precipitation partitioning in litter biogeochemistry. In: van Stan J T, Gutmann E, Friesen J. Precipitation Partitioning by Vegetation. Switzerland: Springer, 163-182.
[64] Raz-Yaseef N R, Yakir D, Rotenberg E, et al. 2010. Ecohydrology of a semi-arid forest: Partitioning among water balance components and its implications for predicted precipitation changes. Ecohydrology, 3(2): 143-154.
[65] Reichert J M, Rodrigues M F, Peláez J J Z, et al. 2017. Water balance in paired watersheds with eucalyptus and degraded grassland in Pampa biome. Agricultural and Forest Meteorology, 237-238: 282-295.
[66] Richardson D M, Rejmánek M. 2011. Trees and shrubs as invasive alien species-a global review. Diversity and Distributions, 17(5): 788-809.
[67] Sadeghi S M M, Attarod P, van Stan J T, et al. 2016. The importance of considering rainfall partitioning in afforestation initiatives in semiarid climates: A comparison of common planted tree species in Tehran, Iran. Science of The Total Environment, 568: 845-855.
[68] Sadeghi S M M, Gordon D A, van Stan J T. 2020. A global synthesis of throughfall and stemflow hydrometeorology. In: van Stan J, Gutmann E, Friesen J. Precipitation Partitioning by Vegetation. Switzerland: Springer, 49-70.
[69] Shachnovich Y, Berliner P R, Bar P. 2008. Rainfall interception and spatial distribution of throughfall in a pine forest planted in an arid zone. Journal of Hydrology, 349(1-2): 168-177.
[70] Silva I C, Rodríguez H G. 2001. Interception loss, throughfall and stemflow chemistry in pine and oak forests in northeastern Mexico. Tree Physiology, 21(12-13): 1009-1013.
doi: 10.1093/treephys/21.12-13.1009 pmid: 11498348
[71] Soulsby C, Braun H, Sprenger M, et al. 2017. Influence of forest and shrub canopies on precipitation partitioning and isotopic signatures. Hydrological Processes, 31(24): 4282-4296.
[72] Trabucco A, Zomer R J. 2009. Global aridity index (global-aridity) and global potential evapo-transpiration (global-PET) geospatial database. CGIAR Consortium for Spatial Information. [2020-11-01]. http://www.csi.cgiar.org.
[73] Valente F, David J, Gash J. 1997. Modelling interception loss for two sparse eucalypt and pine forests in central Portugal using reformulated Rutter and Gash analytical models. Journal of Hydrology, 190(1-2): 141-162.
[74] van Stan J T, Coenders-Gerrits M, Dibble M, et al. 2017. Effects of phenology and meteorological disturbance on litter rainfall interception for a Pinus elliottii stand in the southeastern United States. Hydrological Processes, 31(21): 3719-3728.
[75] Whitworth-Hulse J I. 2018. Effects of Ligustrum lucidum invasion on water dynamics in native forests of the Chaco Serrano: The interaction between precipitation, vegetation and soil. PhD Dissertation. Córdoba: National University of Córdoba. (in Spanish)
[76] Whitworth-Hulse J I, Magliano P N, Zeballos S R, et al. 2020. Advantages of rainfall partitioning by the global invader Ligustrum lucidum over the dominant native Lithraea molleoides in a dry forest. Agricultural and Forest Meteorology, 209(15): 108013, doi: 10.1016/j.agrformet.2020.108013.
[77] Wilcox B P, Breshears D D, Allen C D. 2003. Ecohydrology of a resource-conserving semiarid woodland: Effects of scale and disturbance. Ecological Monographs, 73(2): 223-239.
[78] Wright R J. 1989. Soil aluminum toxicity and plant growth. Communications in Soil Science and Plant Analysis, 20(15-16): 1479-1497.
[79] Yuan C, Gao G Y, Fu B J, et al. 2019. Temporally dependent effects of rainfall characteristics on inter- and intra-event branch-scale stemflow variability in two xerophytic shrubs. Hydrology and Earth System Sciences, 23: 4077-4095.
[80] Zhang Y F, Wang X P, Hu R, et al. 2015. Rainfall partitioning into throughfall, stemflow and interception loss by two xerophytic shrubs within a rain-fed re-vegetated desert ecosystem, northwestern China. Journal of Hydrology, 527: 1084-1095.
[81] Zhang Y F, Wang X P, Hu R, et al. 2016. Throughfall and its spatial variability beneath xerophytic shrub canopies within water-limited arid desert ecosystems. Journal of Hydrology, 539: 406-416.
[82] Zhang Y F, Wang X P, Pan Y X, et al. 2019. Alteration in isotopic composition of gross rainfall as it is being partitioned into throughfall and stemflow by xerophytic shrub canopies within water-limited arid desert ecosystems. Science of The Total Environment, 692: 631-639.
[83] Zhang Y F, Wang X P, Pan X P, et al. 2020. Relative contribution of biotic and abiotic factors to stemflow production and funneling efficiency: A long-term field study on a xerophytic shrub species in Tengger Desert of northern China. Agricultural and Forest Meteorology, 280(15): 107781, doi: 10.1016/j.agrformet.2019.107781.
[84] Zheng J, Fan J L, Zhang F C, et al. 2018. Rainfall partitioning into throughfall, stemflow and interception loss by maize canopy on the semi-arid Loess Plateau of China. Agricultural Water Management, 195: 25-36.
[85] Zheng J, Fan J L, Zhang F C, et al. 2019. Throughfall and stemflow heterogeneity under the maize canopy and its effect on soil water distribution at the row scale. Science of The Total Environment, 660: 1367-1382.
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