Modelling Sediment Retention Services and Soil Erosion Changes in Portugal: A Spatio-Temporal Approach

ISPRS International Journal of Geo-Information - Tập 10 Số 4 - Trang 262
Susana M. Marques1, Felipe S. Campos1, João David1, Pedro Cabral1
1NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, 1070-312, Lisboa, Portugal

Tóm tắt

Soils provide important regulating ecosystem services and have crucial implications for human well-being and environmental conservation. However, soil degradation and particularly soil erosion jeopardize the maintenance and existence of these services. This study explores the spatio–temporal relationships of soil erosion to understand the distribution patterns of sediment retention services in mainland Portugal. Based on Corine Land Cover maps from 1990 to 2018, the InVEST Sediment Delivery Ratio (SDR) model was used to evaluate the influence of sediment dynamics for soil and water conservation. Spatial differences in the sediment retention levels were observed within the NUTS III boundaries, showing which areas are more vulnerable to soil erosion processes. Results indicated that the Region of Leiria, Douro and the coastal regions have decreased importantly in sediment retention capacity over the years. However, in most of the territory (77.52%), changes in sediment retention were little or were not important (i.e., less than 5%). The statistical validation of the model proved the consistency of the results, demonstrating that the InVEST SDR model is an appropriate tool for estimating soil loss potential by water at regional/national levels, although having its limitations. These findings can be relevant to support strategies for more efficient land-use planning regarding soil erosion mitigation practices and to stimulate further investigation at a national level on this important ecosystem service.

Từ khóa


Tài liệu tham khảo

Panagos, P., Meusburger, K., Van Liedekerke, M., Alewell, C., Hiederer, R., and Montanarella, L. (2014). Assessing soil erosion in Europe based on data collected through a European network. Soil Sci. Plant Nutr.

Webster, 2005, Soil Erosion and Conservation, 3rd edition. Blackwell Publishing, Oxford, 2005. x + 304 pp. f29.95, paperback. ISBN 1-4051-1781-8, Eur. J. Soil Sci., 56, 686, 10.1111/j.1365-2389.2005.0756f.x

Wu, 2020, Trade-off between vegetation type, soil erosion control and surface water in global semi-arid regions: A meta-analysis, J. Appl. Ecol., 57, 875, 10.1111/1365-2664.13597

Pando, 2016, Soil Erosion in Steep Road Cut Slopes in Palencia (Spain), Land Degrad. Dev., 27, 190, 10.1002/ldr.2459

Teng, 2018, Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models, Sci. Total Environ., 635, 673, 10.1016/j.scitotenv.2018.04.146

Panagos, 2014, Soil erodibility in Europe: A high-resolution dataset based on LUCAS, Sci. Total Environ., 479–480, 189, 10.1016/j.scitotenv.2014.02.010

Bathurst, 2007, Modelling the impact of forest loss on shallow landslide sediment yield, Ijuez river catchment, Spanish Pyrenees, Hydrol. Earth Syst. Sci., 11, 569, 10.5194/hess-11-569-2007

Borrelli, 2017, An assessment of the global impact of 21st century land use change on soil erosion, Nat. Commun., 8, 2013, 10.1038/s41467-017-02142-7

Burylo, 2012, Plant root traits affecting the resistance of soils to concentrated flow erosion, Earth Surf. Process. Landforms, 37, 1463, 10.1002/esp.3248

Zhang, 2015, Effects of Land Use and Slope Gradient on Soil Erosion in a Red Soil Hilly Watershed of Southern China, Sustainability, 7, 14309, 10.3390/su71014309

Morgan, 1998, The European Soil Erosion Model (EUROSEM): A dynamic approach for predicting sediment transport from fields and small catchments, Earth Surf. Process. Landforms, 23, 527, 10.1002/(SICI)1096-9837(199806)23:6<527::AID-ESP868>3.0.CO;2-5

Panagos, 2015, Modelling the effect of support practices (P-factor) on the reduction of soil erosion by water at European scale, Environ. Sci. Policy, 51, 23, 10.1016/j.envsci.2015.03.012

Aneseyee, 2020, Land use/land cover change effect on soil erosion and sediment delivery in the Winike watershed, Omo Gibe Basin, Ethiopia, Sci. Total Environ., 728, 138776, 10.1016/j.scitotenv.2020.138776

Duan, 2020, Investigation method for regional soil erosion based on the Chinese Soil Loss Equation and high-resolution spatial data: Case study on the mountainous Yunnan Province, China, CATENA, 184, 104237, 10.1016/j.catena.2019.104237

Duck, 2009, Nutrient retention in the sediments and the submerged aquatic vegetation of the coastal lagoon of the Ria de Aveiro, Portugal, J. Sea Res., 62, 276, 10.1016/j.seares.2009.06.007

Nunes, 2010, Soil erosion and hydrological response to land abandonment in a central inland area of Portugal, Land Degrad. Dev., 21, 260, 10.1002/ldr.973

Martins, 2019, Gullies mitigation and control measures: A case study of the Seirós gullies (North of Portugal), Phys. Chem. Earth Parts A/B/C, 109, 26, 10.1016/j.pce.2018.09.006

(2019, March 12). Eurostat-Nomenclature of Territorial Units for Statistics (NUTS). Available online: https://ec.europa.eu/eurostat/web/nuts/nuts-maps.

(2020, June 21). Governo de Portugal Diplomatic Portal, Foreign Affairs, Available online: https://www.portaldiplomatico.mne.gov.pt/en/about-portugal.

(2020, July 01). IPMA Climate Normals, Instituto Português do Mar e da Atmosfera. Available online: https://www.ipma.pt/en/oclima/normais.clima/.

(2021, April 07). IPMA Clima de Portugal Continental. Available online: https://www.ipma.pt/pt/educativa/tempo.clima/.

Portela, M.M., Espinosa, L.A., and Zelenakova, M. (2020). Long-Term Rainfall Trends and Their Variability in Mainland Portugal in the Last 106 Years. Climate, 8.

Sharp, E.R., Chaplin-kramer, R., Wood, S., Guerry, A., Tallis, H., Ricketts, T., Authors, C., Nelson, E., Ennaanay, D., and Wolny, S. (2018). Sediment Delivery Ratio. InVEST User’s Guide, World Wildlife Fund. The Natural Capital Project.

Renard, 1997, Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE), USDA Agric. Handb., 703, 404

Wischmeier, W.H., and Smith, D.D. (1978). Predicting Rainfall Erosion Losses—A Guide to Conservation Planning.

Teng, 2016, Assimilating satellite imagery and visible–near infrared spectroscopy to model and map soil loss by water erosion in Australia, Environ. Model. Softw., 77, 156, 10.1016/j.envsoft.2015.11.024

Winchell, 2008, Extension and validation of a geographic information system-based method for calculating the Revised Universal Soil Loss Equation length-slope factor for erosion risk assessments in large watersheds, J. Soil Water Conserv., 63, 105, 10.2489/jswc.63.3.105

(2019, December 16). ESRI ArcGIS 2017. Available online: https://www.esri.com/en-us/home.

(2019, June 20). USGS United States Geological Survey EarthExplorer Portal, Available online: https://earthexplorer.usgs.gov.

Joint Research Centre-European Soil Data Centre (JRC-ESDAC) (2019, March 25). Global Rainfall Erosivity. Available online: https://esdac.jrc.ec.europa.eu/content/global-rainfall-erosivity.

Joint Research Centre-European Soil Data Centre (JRC-ESDAC) (2019, March 25). Soil Erodibility (K-Factor) High Resolution dataset for Europe. Available online: https://esdac.jrc.ec.europa.eu/content/soil-erodibility-k-factor-high-resolution-dataset-europe.

Direção Geral do Território (DGT) (2019, March 12). CLC Open Data. Available online: http://www.dgterritorio.pt/dados_abertos/clc/.

Copernicus, E. (2019, March 12). Copernicus Program-CORINE Land Cover. Available online: https://land.copernicus.eu/pan-european/corine-land-cover.

Panagos, 2015, Land Use Policy Estimating the soil erosion cover-management factor at the European scale, Land Use Policy, 48, 38, 10.1016/j.landusepol.2015.05.021

(2019, December 17). SNIG Sistema Nacional de Informação Geográfica. Available online: http://snig.dgterritorio.pt/.

National Aeronautics and Space Administration (NASA) (2019, June 20). Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Available online: https://terra.nasa.gov/about/terra-instruments/aster.

European Environmental Agency (EEA) (2019, March 25). Rainfall Erosivity Database at European Scale (REDES). Available online: https://www.eea.europa.eu/data-and-maps/data/external/rainfall-erosivity-database-at-european.

Panagos, 2017, Global rainfall erosivity assessment based on high-temporal resolution rainfall records, Sci. Rep., 7, 1, 10.1038/s41598-017-04282-8

Panagos, 2012, Soil erodibility estimation using LUCAS point survey data of Europe, Environ. Model. Softw., 30, 143, 10.1016/j.envsoft.2011.11.002

Eurostat (2019, March 12). Eurostat-Land Use and Coverage Area Frame Survey (LUCAS). Available online: https://ec.europa.eu/eurostat/web/lucas.

Benavidez, 2018, A review of the (Revised) Universal Soil Loss Equation ((R)USLE): With a view to increasing its global applicability and improving soil loss estimates, Hydrol. Earth Syst. Sci., 22, 6059, 10.5194/hess-22-6059-2018

Vigiak, 2012, Comparison of conceptual landscape metrics to define hillslope-scale sediment delivery ratio, Geomorphology, 138, 74, 10.1016/j.geomorph.2011.08.026

(2019, March 25). JRC-European Soil Data Centre (ESDAC). Available online: http://esdac.jrc.ec.europa.eu/.

Ferreira, 2014, Seasonality of Soil Erosion Under Mediterranean Conditions at the Alqueva Dam Watershed, Environ. Manag., 54, 67, 10.1007/s00267-014-0281-3

EEA (2010). Mapping the Impacts of Natural Hazards and Technological Accidents in Europe. An Overview of the Last Decade, European Environment Agency.

USDA Agricultural Research Service (USDA-ARS) (2021, April 09). Texas AgriLife Research Soil & Water Assessment Tool (SWAT). Available online: https://swat.tamu.edu/.

(2021, April 09). US Army Corps of Engineers HEC-RAS. Available online: https://www.hec.usace.army.mil/software/hec-ras/.

Kinnell, 2010, Event soil loss, runoff and the Universal Soil Loss Equation family of models: A review, J. Hydrol., 385, 384, 10.1016/j.jhydrol.2010.01.024

(2021, April 09). United Nations Sustainable Development Goals (SDGs). Available online: https://sdgs.un.org/goals.

Thông tin
Thông tin xuất bản

ISPRS International Journal of Geo-Information

Tập 10 Số 4

262

Thông tin tác giả