Abstract
A better understanding of the relationships between non-point source (NPS) pollution–related processes and their drivers will help to develop scientific watershed management measures. Although various studies have explored the drivers’ impact on NPS pollution–related processes, quantitative knowledge of the properties within these relationships is still needed. This study uses the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model to produce three related processes of NPS pollution, quick flow (QF), nitrogen export (NE), and sediment export (SE), in the upstream watershed of Chaohu Lake, China. The spatial distributions of QF, NE, and SE and their responses to multiple natural-socioeconomic drivers at nine spatial scales (1 km2, 10 km2, 20 km2, 30 km2, 50 km2, 75 km2, 100 km2, 200 km2, and town) were compared. The results showed that the spatial scale has little impact on the spatial distributions of NPS pollution–related processes. Across the nine scales, the socioeconomic drivers related to agricultural activities, area proportions of cultivated land (cultivated) and paddy field (paddy), have dominant impacts on NE, while the topographical drivers, the connectivity index (IC) and slope, have dominant impacts on both SE and QF. The magnitudes of single and paired natural-socioeconomic drivers’ impacts on NPS pollution–related processes increase logarithmically or linearly with increasing spatial scale, but they tend to reach a stable threshold at a certain coarse scale. Our results emphasized the necessity and importance of embracing spatial scale effects in watershed water environmental management.
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References
Aguilera R, Melack JM (2018) Relationships among nutrient and sediment fluxes, hydrological Variability, fire, and land cover in coastal california catchments. J Geophys 123:2568–2589. https://doi.org/10.1029/2017jg004119
Anselin L (1996) The Moran scatterplot as an ESDA tool to assess local instability in spatial association. In: Fischer MM, ScholtenHJ, Unwin D (eds) Spatial analytical perspectives on GIS, vol 28. Taylor & Francis, London, pp 111–125
Bai Y, Ochuodho TO, Yang J (2019) Impact of land use and climate change on water-related ecosystem services in Kentucky, USA. Ecol Indic 102:51–64. https://doi.org/10.1016/j.ecolind.2019.01.079
Bai Y, Chen YY, Alatalo JM, Yang ZQ, Jiang B (2020) Scale effects on the relationships between land characteristics and ecosystem services- a case study in Taihu Lake Basin, China. Sci Total Environ 716:137083. https://doi.org/10.1016/j.scitotenv.2020.137083
Cakir R, Sauvage S, Gerino M, Volk M, Sanchez-Perez JM (2020) Assessment of ecological function indicators related to nitrate under multiple human stressors in a large watershed. Ecol Indic 111:15. https://doi.org/10.1016/j.ecolind.2019.106016
Cao Y, Li GY, Tian YH, Fang XQ, Li Y, Tan YZ (2020) Linking ecosystem services trade-offs, bundles and hotspot identification with cropland management in the coastal Hangzhou Bay area of China. Land Use Policy 97:104689. https://doi.org/10.1016/j.landusepol.2020.104689
Chen HL, Xiao W, Wang Z, Li SC, Fu YJ, Lv XJ (2016) The relief degree of land surface and its correlation with population distribution of chaohu watershed. Sci Technol Eng (in Chinese) 16(17):108–112. https://kns.cnki.net/kcms2/article/abstract?v=jJlylHAC3fr_EVVS2d53iSJj-a65UABejoeyIuyFYPcuOREvHUfnD9WnCZ-PVW-tQhEFHYeEb388wyIr9-CK0HCiC0vJ_brzMQNMJCMGjpr8BsL4zocal4-jXnxsVu-hCSgjqL1-Lk4=&uniplatform=NZKPT&language=CHS
Chen DG, Zhang YF, Shen H, Yao MY, Hu MP, Dahlgren RA (2019) Decreased buffering capacity and increased recovery time for legacy phosphorus in a typical watershed in eastern China between 1960 and 2010. Biogeochemistry 144:273–290. https://doi.org/10.1007/s10533-019-00585-2
Chen L, Xu LY, Cai YP, Yang ZF (2021) Spatiotemporal patterns of industrial carbon emissions at the city level. Resour Conserv Recycl 169:105499. https://doi.org/10.1016/j.resconrec.2021.105499
Czajkowski M, Andersen HE, Blicher-Mathiesen G, Budzinski W, Elofsson K, Hagemejer J, Hasler B, Humborg C, Smart JCR, Smedberg E, Thodsen H, Was A, Wilamowski M, Zylicz T, Hanley N (2021) Increasing the cost-effectiveness of nutrient reduction targets using different spatial scales. Sci Total Environ 790:13. https://doi.org/10.1016/j.scitotenv.2021.147824
Ding TH, Chen JF, Fang Z, Chen JY (2021) Assessment of coordinative relationship between comprehensive ecosystem service and urbanization: a case study of Yangtze River Delta urban Agglomerations, China. Ecol. Indics 133:15. https://doi.org/10.1016/j.ecolind.2021.108454
Ding XW, Xue Y, Lin M, Jiang GH (2017) Influence mechanisms of rainfall and terrain characteristics on total nitrogen losses from regosol. Water 9:15. https://doi.org/10.3390/w9030167
Duan TT, Feng JS, Chang X, Li YX (2023) Quantification of multiscale links of key factors with watershed nitrogen and sediment exports based on a Bayesian modelling approach. J Clean Prod 399:14. https://doi.org/10.1016/j.jclepro.2023.136586
Forio MAE, Burdon FJ, De Troyer N, Lock K, Witing F, Baert L, De Saeyer N, Risnoveanu G, Popescu C, Kupilas B, Friberg N, Boets P, Johnson RK, Volk M, McKie BG, Goethals PLM (2022) A Bayesian belief network learning tool integrates multi-scale effects of riparian buffers on stream invertebrates. Sci Total Environ 810:11. https://doi.org/10.1016/j.scitotenv.2021.152146
Frissell CA, Liss WJ, Warren CE, Hurley MD (1986) A hierarchical framework for stream habitat classification - viewing streams in a watershed context. Environ Manag 10:199–214. https://doi.org/10.1007/bf01867358
Gangopadhyay K, Basu B (2009) City size distributions for India and China. Physica A 388:2682–2688. https://doi.org/10.1016/j.physa.2009.03.019
Gashaw T, Worqlul AW, Dile YT, Sahle M, Adem AA, Bantider A, Teixeira Z, Alamirew T, Meshesha DT, Bayable G (2022) Evaluating InVEST model for simulating annual and seasonal water yield in data-scarce regions of the Abbay (Upper Blue Nile) Basin: implications for water resource planners and managers. Sustain Water Resour Manag 8:13. https://doi.org/10.1007/s40899-022-00757-3
Grizzetti B, Passy P, Billen G, Bouraoui F, Garnier J, Lassaletta L (2015) The role of water nitrogen retention in integrated nutrient management: assessment in a large basin using different modelling approaches. Environ Res Lett 10:065008. https://doi.org/10.1088/1748-9326/10/6/065008
Guo D, Lintern A, Webb JA, Ryu D, Liu S, Bende-Michl U, Leahy P, Wilson P, Western AW (2019) Key factors affecting temporal variability in stream water quality. Water Resour Res 55:112–129. https://doi.org/10.1029/2018wr023370
Hassanzadeh E, Strickert G, Morales-Marin L, Noble B, Baulch H, Shupena-Soulodre E, Lindenschmidt KE (2019) A framework for engaging stakeholders in water quality modeling and management: application to the Qu’Appelle River Basin, Canada. J Environ Manage 231:1117–1126. https://doi.org/10.1016/j.jenvman.2018.11.016
Hx A, Wk A, Gang ZA, Ojs B (2021) Impacts of landscape patterns on water-related ecosystem services under natural restoration in Liaohe River Reserve, China. Sci. Total Environ 792:148290. https://doi.org/10.1016/j.scitotenv.2021.148290
Interlandi SJ, Crockett CS (2003) Recent water quality trends in the Schuylkill River, Pennsylvania, USA: a preliminary assessment of the relative influences of climate, river discharge and suburban development. Water Res 37:1737–1748. https://doi.org/10.1016/s0043-1354(02)00574-2
Jelinski DE, Wu JG (1996) The modifiable areal unit problem and implications for landscape ecology. Landsc Ecol 11:129–140. https://doi.org/10.1007/BF02447512
Jin GQ, Xu J, Mo YM, Tang HW, Wei T, Wang YG, Li L (2020) Response of sediments and phosphorus to catchment characteristics and human activities under different rainfall patterns with Bayesian Networks. J Hydrol 584:13. https://doi.org/10.1016/j.jhydrol.2020.124695
Kolli MK, Opp C, Groll M (2021) Estimation of soil erosion and sediment yield concentration across the Kolleru Lake Catchment using GIS. Environ Earth Sci 80:14. https://doi.org/10.1007/s12665-021-09443-7
Lefever DW (1926) Measuring geographic concentration by means of the standard deviational ellipse. Am J Sociol 32:88–94. https://doi.org/10.1086/214027
Lei JC, Wang S, Wu J, Wang JW, Xiong X (2021) Land-use configuration has significant impacts on water-related ecosystem services. Ecol Eng 160:106133. https://doi.org/10.1016/j.ecoleng.2020.106133
Li SH, Peng SY, Jin BX, Zhou JS, Li YX (2019) Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin. PeerJ 7:29. https://doi.org/10.7717/peerj.7283
Li SK, Li XB, Dou HS, Dang DL, Gong JR (2021) Integrating constraint effects among ecosystem services and drivers on seasonal scales into management practices. Ecol Indic 125:107425. https://doi.org/10.1016/j.ecolind.2021.107425
Lin C, Xiong JF, Ma RF, Zhu CX (2021a) Identifying the critical watershed regions creating lake nutrient enrichment (SLRs) based on a watershed-lake integrated perspective – a case study of Chaohu Lake Basin. China. Ecol Indic 121:107037. https://doi.org/10.1016/j.ecolind.2020.107037
Lin L, Reisinger AJ, Rosi EJ, Groffman PM, Band LE (2021b) Evaluating instream restoration effectiveness in reducing nitrogen export from an urban catchment with a data-model approach. J Am Water Resour Assoc 25. https://doi.org/10.1111/1752-1688.12922
Liu LM, Wu JG (2021) Ecosystem services-human wellbeing relationships vary with spatial scales and indicators: the case of China. Resour Conserv Recycl 172:105662. https://doi.org/10.1016/j.resconrec.2021.105662
Liu Y, Bi J, Lv JS, Ma ZW, Wang C (2017) Spatial multi-scale relationships of ecosystem services: a case study using a geostatistical methodology. Sci Rep 7:9486. https://doi.org/10.1038/s41598-017-09863-1
Liu YS, Zhou Y (2021) Territory spatial planning and national governance system in China. Land Use Policy 102:9. https://doi.org/10.1016/j.landusepol.2021.105288
Mariam A, Tariq S, Ul-Haq Z, Mehmood U (2021) Spatio-temporal variations in fine particulate matter and evaluation of associated health risk over Pakistan. Integr Environ Assess Manag 17:1243–1254. https://doi.org/10.1002/ieam.4446
McGuire KJ, Torgersen CE, Likens GE, Buso DC, Lowe WH, Bailey SW (2014) Network analysis reveals multiscale controls on streamwater chemistry. Proc Natl Acad Sci U S A 111:7030–7035. https://doi.org/10.1073/pnas.1404820111
Mihiranga HKM, Jiang Y, Li XY, Wei W, De Silva K, Kumwimba MN, Xin B, Nissanka SP (2021) Nitrogen/phosphorus behavior traits and implications during storm events in a semi-arid mountainous watershed. Sci Total Environ 791:148382–148382. https://doi.org/10.1016/j.scitotenv.2021.148382
Muenich RL, Kalcic M, Scavia D (2016) Evaluating the impact of legacy P and agricultural conservation practices on nutrient loads from the Maumee River watershed. Environ Sci Technol 50:8146–8154. https://doi.org/10.1021/acs.est.6b01421
Ord JK, Getis A (1995) Local spatial autocorrelation statistics: distributional issues and an application. Geogr Anal 27:286–306. https://doi.org/10.1111/j.1538-4632.1995.tb00912.x
Pan SF, Bian ZH, Tian HQ, Yao YZ, Najjar RG, Friedrichs MAM, Hofmann EE, Xu RT, Zhang BW (2021) Impacts of multiple environmental changes on long-term nitrogen loading from the Chesapeake Bay watershed. J Geophys 126:18. https://doi.org/10.1029/2020jg005826
Parenteau MP, Sawada MC (2011) The modifiable areal unit problem (MAUP) in the relationship between exposure to NO2 and respiratory health. Int J Health Geogr 10:58–58. https://doi.org/10.1186/1476-072X-10-58
Peng SY, Li SH (2021) Scale relationship between landscape pattern and water quality in different pollution source areas: a case study of the Fuxian Lake Watershed, China. Ecol Indic 121:11. https://doi.org/10.1016/j.ecolind.2020.107136
Rong QQ, Zeng JN, Su MR, Yue WC, Cai YP (2022) Prediction and optimization of regional land-use patterns considering nonpoint-source pollution control under conditions of uncertainty. J Environ Manage 306:12. https://doi.org/10.1016/j.jenvman.2022.114432
Russell K (2021) Potential sediment supply fluxes associated with greenfield residential construction. Anthropocene 35:13. https://doi.org/10.1016/j.ancene.2021.100300
Sabzevari T, Talebi A (2019) Effect of hillslope topography on soil erosion and sediment yield using USLE model. Acta Geophys 67:1587–1597. https://doi.org/10.1007/s11600-019-00361-8
Sahle M, Saito O, Fuest C, Yeshitela K (2018) Quantifying and mapping of water-related ecosystem services for enhancing the security of the food-water-energy nexus in tropical data–sparse catchment. Sci Total Environ 646:573–586. https://doi.org/10.1016/j.scitotenv.2018.07.347
Seo M, Heo J, Kim Y (2021) Present and potential future critical source areas of nonpoint source pollution: a case of the Nakdong River watershed, South Korea. Environ Sci Pollut Res 28(33):45676–45692. https://doi.org/10.1007/s11356-021-12976-w
Sharp R, Chaplin-Kramer R, Wood S, Guerry A, Douglass J (2018) InVEST user’s guide. https://doi.org/10.13140/RG.2.2.32693.78567
Shen JS, Li SC, Liu LB, Liang Z, Wang YY, Wang H, Wu S (2020) Uncovering the relationships between ecosystem services and social-ecological drivers at different spatial scales in the Beijing-Tianjin-Hebei region. J Clean Prod 290:125193. https://doi.org/10.1016/j.jclepro.2020.125193
Shi YS, Matsunaga T, Yamaguchi Y, Li ZQ, Gu XF, Chen XH (2018) Long-term trends and spatial patterns of satellite-retrieved PM2.5 concentrations in South and Southeast Asia from 1999 to 2014. Sci Total Environ 615:177–186. https://doi.org/10.1016/j.scitotenv.2017.09.241
Shu QK (2016) Land use patterns of different scale units in Chaohu Lake Basin and their impact on river water quality (Dissertation). Nanjing Agricultural University, Master Thesis https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD201801&filename=1017256210.nh&uniplatform=NZKPT&v=1SOsN4AhWPi0hgsTkqxV69u%25mmd2Fi5ul8pXfSnqTPQGQTUi37SlrjCNNX4tleSxnjdjK
Smith JS, Winston RJ, Tirpak RA, Wituszynski DM, Boening KM, Martin JF (2020) The seasonality of nutrients and sediment in residential stormwater runoff: Implications for nutrient-sensitive waters. J Environ Manage 276:13. https://doi.org/10.1016/j.jenvman.2020.111248
Song YZ, Wang JF, Ge Y, Xu CD (2020) An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data. GIsci Remote Sens 57:593–610. https://doi.org/10.1080/15481603.2020.1760434
Streeter MT, Schilling KE, Burras CL, Wolter CF (2021) Erosion and sediment delivery in southern Iowa watersheds: implications for conservation planning. J Soil Water Conserv 76:103–115. https://doi.org/10.2489/jswc.2021.00125
Su CH, Dong M, Fu BJ, Liu GH (2020) Scale effects of sediment retention, water yield, and net primary production: a case-study of the Chinese Loess Plateau. Land Degrad Dev 31:1408–1421. https://doi.org/10.1002/ldr.3536
Sun Y, Hao RF, Qiao JM, Xue H (2020) Function zoning and spatial management of small watersheds based on ecosystem disservice bundles. J Clean Prod 255:10. https://doi.org/10.1016/j.jclepro.2020.120285
Vogt RJ, Rusak JA, Patoine A, Leavitt PR (2011) Differential effects of energy and mass influx on the landscape synchrony of lake ecosystems. Ecology 92:1104–1114. https://doi.org/10.1890/10-1846.1
Wang XH (2006) Estimation and control of non-point source pollution of nitrogen and phosphorus in Chaohu Lake basin. Master Thesis,. Hefei Polytechnic University. https://kns.cnki.net/kcms2/article/abstract?v=jJlylHAC3freFifMIGGbYrLahmc9Tx5vpLN4R9Ce05WbyBqGo2WO-XEBrHF5ilPHVV5g4GsmklyELpw_US-X3zNOrS8OngHc3hy41hNvB3aBIg_MvR5bjn3WU-o6o4AQ&uniplatform=NZKPT&language=CHS
Wang F, Wang Z, Zhang Y, Shen F (2018a) Spatio-temporal variations of evapotranspiration in Anhui Province using MOD16 products. Resources and Environment in the Yangtze Basin (in Chinese) 27:523–534. https://doi.org/10.11870/cjlyzyyhj201803008
Wang FE, Sun ZL, Zheng SY, Yu J, Liang XQ (2018b) An integrated approach to identify critical source areas of agricultural nonpoint-source pollution at the watershed scale. J Environ Qual 47:922–929. https://doi.org/10.2134/jeq2017.12.0469
Wang JF, Li XH, Christakos G, Liao YL, Zhang T, Gu X, Zheng XY (2010) Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region, China. Int J Geogr Inf Sci 24:107–127. https://doi.org/10.1080/13658810802443457
Wang JF, Zhang TL, Fu BJ (2016) A measure of spatial stratified heterogeneity. Ecol Indic 67:250–256. https://doi.org/10.1016/j.ecolind.2016.02.052
Wang YD, Ouyang W, Zhang YH, Lin CY, He MC, Wang PT (2021) Quantify phosphorus transport distinction of different reaches to estuary under long-term anthropogenic perturbation. Sci Total Environ 780:10. https://doi.org/10.1016/j.scitotenv.2021.146647
Wenng H, Barneveld R, Bechmann M, Marttila H, Krogstad T, Skarbovik E (2021) Sediment transport dynamics in small agricultural catchments in a cold climate: a case study from Norway. Agric Ecosyst Environ 317:13. https://doi.org/10.1016/j.agee.2021.107484
Willcock SP, Quintero M, Perez-Minana E, Srinivasan R, Francesconi W (2016) Using the soil and water assessment tool (SWAT) to model ecosystem services: a systematic review. J Hydrol 535:625–636. https://doi.org/10.1016/j.jhydrol.2016.01.034
Xia H, Yuan SF, Prishchepov AV (2023) Spatial-temporal heterogeneity of ecosystem service interactions and their social-ecological drivers: implications for spatial planning and management. Resour Conserv Recycl 189:16. https://doi.org/10.1016/j.resconrec.2022.106767
Xu JY, Chen JX, Liu YX, Fan FF (2020) Identification of the geographical factors influencing the relationships between ecosystem services in the Belt and Road region from 2010 to 2030. J Clean Prod 275:124153. https://doi.org/10.1016/j.jclepro.2020.124153
Xu X, Liu J, Zhang S, Li R, Yan C, Wu S (2018) China’s multi-period land use land cover remote sensing monitoring dataset (CNLUCC)[EB/OL]. Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (RESDC). http://www.resdc.cn, https://doi.org/10.12078/201807201
Xu ZZ, Ji ZX, Liang B, Song DR, Lin Y, Lin JG (2021) Estimate of nutrient sources and transport into Bohai Bay in China from a lower plain urban watershed using a SPARROW model. Environ Sci Pollut Res 28:25733–25747. https://doi.org/10.1007/s11356-020-11932-4
Yang MH, Gao XD, Zhao XN, Wu PT (2021) Scale effect and spatially explicit drivers of interactions between ecosystem services—a case study from the Loess Plateau. Sci Total Environ 785:147389. https://doi.org/10.1016/j.scitotenv.2021.147389
Yang X, Ji GX, Wang C, Zuo JP, Yang HQ, Xu JH, Chen RS (2019) Modeling nitrogen and phosphorus export with InVEST model in Bosten Lake basin of Northwest China. PloS One 14:17. https://doi.org/10.1371/journal.pone.0220299
Yazdi MN, Sample DJ, Scott D, Wang XX, Ketabchy M (2021) The effects of land use characteristics on urban stormwater quality and watershed pollutant loads. Sci Total Environ 773:13. https://doi.org/10.1016/j.scitotenv.2021.145358
Yin S, Guo M, Wang XF, Yamamoto H, Ou W (2021) Spatiotemporal variation and distribution characteristics of crop residue burning in China from 2001 to 2018. Environ Pollut 268:115849. https://doi.org/10.1016/j.envpol.2020.115849
Zan FY, Huo SL, Xi BD, Zhu CW, Liao HQ, Zhang JT, Yeager KM (2012) A 100-year sedimentary record of natural and anthropogenic impacts on a shallow eutrophic lake, Lake Chaohu, China. J Environ Monit 14:804–816. https://doi.org/10.1039/c1em10760g
Zha LS, Deng GH, Gu JC (2015) Dynamic changes of soil erosion in the Chaohu Watershed from 1992 to 2013. Acta Geographica Sinica (in Chinese) 70:1708–1719. https://doi.org/10.11821/dlxb201511002
Zhang WS, Li HP, Kendall AD, Hyndman DW, Diao YQ, Geng JW, Pang JP (2019) Nitrogen transport and retention in a headwater catchment with dense distributions of lowland ponds. Sci Total Environ 683:37–48. https://doi.org/10.1016/j.scitotenv.2019.05.171
Zhao C, Zhou Y, Jiang JH, Xiao PN, Wu H (2021) Spatial characteristics of cultivated land quality accounting for ecological environmental condition: a case study in hilly area of northern Hubei province. China. Sci Total Environ 774:145765. https://doi.org/10.1016/j.scitotenv.2021.145765
Zhou MM, Deng JS, Lin Y, Belete M, Wang K, Comber A, Huang LY, Gan MY (2019) Identifying the effects of land use change on sediment export: integrating sediment source and sediment delivery in the Qiantang River Basin, China. Sci Total Environ 686:38–49. https://doi.org/10.1016/j.scitotenv.2019.05.336
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This work was supported by the National Natural Science Foundation of China (No. 52170098).
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Yingxia Li: term, conceptualization, writing—original draft, writing—review & editing, supervision. Tingting Duan: term, conceptualization, methodology, software, validation, formal analysis, investigation, data curation, writing—original draft, writing—review & editing, visualization.
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Duan, T., Li, Y. A multiscale analysis of the spatially heterogeneous relationships between non-point source pollution–related processes and their main drivers in Chaohu Lake watershed, China. Environ Sci Pollut Res 30, 86940–86956 (2023). https://doi.org/10.1007/s11356-023-28233-1
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DOI: https://doi.org/10.1007/s11356-023-28233-1