Skip to main content

Advertisement

Log in

Useful indicators and models for assessing erosion control ecosystem service in a semi-arid forest landscape

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Forests provide a large array of ecosystem services (ESs) such as wood supply, extreme natural event prevention, and ecotourism opportunities. The quantitative characterization of ESs is a crucial but costly task for environmental managers. The aim of this study was to develop easily applicable models and indicators for assessing erosion control ES in a semi-arid landscape. In order to accomplish this, 107 randomly selected plots were visited for field measurements and topsoil sampling. Several parametric tests were then used to analyze the field data. The findings revealed that (i) normalized difference vegetation index (NDVI), (ii) cover management (C) factor of the Revised Universal Soil Loss Equation (RUSLE), (iii) soil organic matter content, (iv) canopy cover ratio, and (v) land use/land cover (LULC) types could be used as useful performance indicators of erosion control ES. Two regression models were developed based on these indicators and compared to RUSLE results for the study area. Using the first model, we were able to estimate the soil protection performance of different LULC types by NDVI at the pixel level (R2adj = 0.90, p < 0.05). The second model estimated annual potential soil loss using NDVI and ground slope values (R2adj = 0.57, p < 0.05). Based on the ES indicators framework, a practical approach was proposed in this study for rapid assessment of the soil erosion problem without running RUSLE. Thus, environmental managers are expected to make well-informed landscape planning decisions and improve their ES provision application capabilities at a reduced cost.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Code availability

Not applicable.

Availability of the data and material

The data and material can be shared by the corresponding author upon reasonable request.

References

  • Akgöz, R., Deviren Saygin, S., Erpul, G., & Tel, S. (2022). Monitoring seasonal and phenological variability of cover management factor for wheat cropping systems under semi-arid climate conditions. Environmental Monitoring Assessment, 194, 395. https://doi.org/10.1007/s10661-022-10064-1

    Article  CAS  Google Scholar 

  • Aytop, H., & Şenol, S. (2022). The effect of different land use planning scenarios on the amount of total soil losses in the Mikail Stream Micro-Basin. Environmental Monitoring Assessment, 194, 32. https://doi.org/10.1007/s10661-022-09937-2

    Article  Google Scholar 

  • Arnoldus, H. M. J. (1977). Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco. FAO Soils Bulletin, 34, 39–44.

    Google Scholar 

  • Asan, Ü. (2017). Forest management (planning systems). İstanbul University Publishing. (in Turkish).

    Google Scholar 

  • Barnes, B. V., Zak, D. R., Denton, S. R., & Spurr, S. H. (1998). Forest ecology (4th ed.). Wiley Publishing.

    Google Scholar 

  • Baskent, E. Z. (2020). A framework for characterizing and regulating ecosystem services in a management planning context. Forests, 11, 102. https://doi.org/10.3390/f11010102

    Article  Google Scholar 

  • Berg, B., & Laskowski, R. (2006). Litter decomposition: A guide to carbon and nutrient turnover (Vol. 38). In Y. Luo (Ed.), Advances in Ecological Research (p. 448). San Diego: Elsevier.

  • Bilgili, E., Öztürk, M., Coskuner, K. A., Baysal, İ, Serdar, B., Yavuz, H., Eroğlu, M., & Usta, Y. (2018). Quantifying the effect of pine mistletoe on the growth of Scots pine. Forest Pathology, 48(4), 1–9. https://doi.org/10.1111/efp.12435

    Article  Google Scholar 

  • Bouyoucos, G. J. (1962). Hydrometer method improved for making particle size analysis of soils. Agronomy Journal, 54, 464–465.

    Article  Google Scholar 

  • Boyce, R. C. (1975). Sediment routing with sediment delivery ratios. In: Present and prospective technology for predicting sediment yields and sources. USDA Publishing, No: ARS-S-40, 61–65, USA.

  • Bulut, S., Günlü, A., & Keleş, S. (2016). Estimation of some stand parameters using Göktürk-2 satellite image. 1st International Symposium of Forest Engineering and Technologies (FETEC 2016), 2–4 June 2016 Bursa, 118−124.

  • Burkhard, B., de Groot, R., Costanza, R., Seppelt, R., Jorgensen, S. E., & Potschin, M. (2012). Solutions for sustaining natural capital and ecosystem services. Ecological Indicators, 21, 1–6. https://doi.org/10.1016/j.ecolind.2012.03.008

    Article  Google Scholar 

  • Burkhard, B., & Maes, J. (2017). Mapping ecosystem services. Pensoft Publishers.

    Book  Google Scholar 

  • Caglayan, İ, Yeşil, A., Kabak, Ö., & Bettinger, P. (2021). A decision making approach for assignment of ecosystem services to forest management units: A case study in northwest Turkey. Ecological Indicators, 121, 107056. https://doi.org/10.1016/j.ecolind.2020.107056

    Article  Google Scholar 

  • Chi, Z., Yao, Z., Shen, S., Hiroyuki, N., Haruyoshi, I., Peng, C., & Jun, F. (2008). Development of GIS-based FUSLE model in a Chinese fir forest sub-catchment with a focus on the litter in the Dabie Mountains, China. Forest Ecology and Management, 255, 2782–2789. https://doi.org/10.1016/j.foreco.2008.01.045

    Article  Google Scholar 

  • CICES. (2018). The Common International Classification of Ecosystem Services. Version, 5, 1.

    Google Scholar 

  • de Jong, S. M. (1994). Derivation of vegetative variables from a Landsat TM image for modeling soil erosion. Earth Surface Processes and Landforms, 19, 165–178. https://doi.org/10.1002/esp.3290190207

    Article  Google Scholar 

  • Deviren Saygın, S., Basaran, M., Ozcan, A. U., Dolarslan, M., Timur, O. B., Yilman, F. E., & Erpul, G. (2011). Land degradation assessment by geo-spatially modeling different soil erodibility equations in a semi-arid catchment. Environmental Monitoring and Assessment, 180, 201–215.

    Article  Google Scholar 

  • Duman, A. (2017). Determination and modelling of soil properties of degraded forest and grassland areas in some micro catchments of Artvin, Erzurum and Bayburt using satellite images. PhD thesis, Artvin Coruh University, Artvin (in Turkish).

  • Egoh, B., Drakou, E. G., Dunbar, M. B., Maes, J., & Willemen, L. (2012). Indicators for mapping ecosystem services: A review. Technical report, JRC Scientific and Policy Reports, Publications Office of the EU, Luxemburg.

  • Erinç, S. (1965). A research on the impacts of precipitation and a new index. İstanbul: İstanbul University The Institute of Geography Publishing (PN: 40).

  • Erinç, S. (1996). Climatology and its methods (4th edition). Alfa Publishing, İstanbul, 538 p, (in Turkish).

  • Erpul, G., Şahin, S., İnce, K., Küçümen, A., Akdağ, M. A., Demirtaş, İ, & Çetin, E. (2018). The erosion atlas of Turkey. The Turkish General Directorate of Combating Desertification and Erosion Publishing. (in Turkish).

    Google Scholar 

  • FAO. (2000). On definitions of forest and forest change. Forest Resource Assessment Working Paper No. 33, Rome. Retrieved November 12, 2019, from http://www.fao.org/3/ad665e/ad665e00.htm#TopOfPage

  • GDF. (2014). Orman hayattır [Brochure]. Republic of Turkey General Directorate of Forestry, Ankara (in Turkish).

  • GDF. (2015). Ecosystem-based multifunctional forest management plan of Olur Forest Enterprise (2015–2034). Republic of Turkey General Directorate of Forestry.

    Google Scholar 

  • GDF. (2017). Act No 299. General Directorate of Forestry, Forest Management and Planning Dept., Ankara (in Turkish). Retrieved November 9, 2020, from https://www.ogm.gov.tr/ekutuphane/Tebligler

  • Guerra, C. A., Teresa, P. C., & Marc, J. M. (2014). Mapping soil erosion prevention using an ecosystem service modeling framework for integrated land management and policy. Ecosystems, 17, 878–889. https://doi.org/10.1007/s10021-014-9766-4

    Article  Google Scholar 

  • Kalaycı, Ş. (2009). Multivariable statistic technics with SPSS applications (9th ed.). Asil Publishing. (in Turkish).

    Google Scholar 

  • Kalıpsız, A. (1982). Forest yield and growth. İstanbul: İstanbul University Publishing (PN: 3052) (in Turkish).

  • Kantarcı, M. D. (2000). Soil science. İstanbul: İstanbul University Publishing (PN: 462) (in Turkish).

  • Karahalil, U., Başkent, E. Z., Sivrikaya, F., & Kılıç, B. (2017). Analyzing deadwood volume of Calabrian pine (Pinus brutia Ten.) in relation to stand and site parameters: A case study in Köprülü Canyon National Park. Environmental Monitoring Assessment, 189, 112. https://doi.org/10.1007/s10661-017-5828-3

  • Kayitakire, F., Hamel, C., & Defourny, P. (2006). Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery. Remote Sensing of Environment, 102(3–4), 390–401. https://doi.org/10.1016/j.rse.2006.02.022

    Article  Google Scholar 

  • Kinnell, P. I. A. (2001). Slope length factor for applying the USLE-M to erosion in grid cells. Soil and Tillage Research, 58(1–2), 11–17.

    Article  Google Scholar 

  • Knoke, T., Kindu, M., Schneider, T., & Gobakken, T. (2021). Inventory of forest attributes to support the integration of non-provisioning ecosystem services and biodiversity into forest planning—from collecting data to providing information. Current Forestry Reports, 7, 38–58. https://doi.org/10.1007/s40725-021-00138-7

    Article  Google Scholar 

  • Koralay, N., & Kara, Ö. (2022). Creating erosion risk map and determining sediment delivery ratio of the Trabzon Değirmendere-Çatak subwatershed. Turkish Journal of Forestry Research, 9, 41–54. https://doi.org/10.17568/ogmoad.1095264. (in Turkish with English abstract).

    Article  Google Scholar 

  • Koschke, L., Fuerst, C., Frank, S., & Makeschin, F. (2012). A multi-criteria approach for an integrated land-cover-based assessment of ecosystem services provision to support landscape planning. Ecological Indicators, 21, 54–66. https://doi.org/10.1016/j.ecolind.2011.12.010

    Article  Google Scholar 

  • Oudenhoven, A. P. E., Veerkamp, C. J., Alkemade, R., & Leemans, R. (2015). Effects of different management regimes on soil erosion and surface runoff in semi-arid to sub-humid rangelands. Journal of Arid Environments, 121, 100–111. https://doi.org/10.1016/j.jaridenv.2015.05.015

    Article  Google Scholar 

  • Panagos, P., Meusburger, K., Ballabio, C., Borrelli, P., & Alewell, C. (2014). Soil erodibility in Europe: A high-resolution dataset based on LUCAS. Science of the Total Environment, 479, 189–200. https://doi.org/10.1016/j.scitotenv.2014.02.010

    Article  CAS  Google Scholar 

  • Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., & Yoder, D. C. (1997). Predicting soil erosion by water: A guide to conservation planning with the revised universal soil loss equation (RUSLE). Washington: United States Department of Agriculture (USDA).

  • Renard, K. G., & Foster, G. R. (1998). R factor-rainfall/runoff erosivity. In: Galetevic. J.R (ed) Guidelines for the use of the revised universal soil loss equation (RUSLE) version 1.06 on mined lands, construction sites and reclaimed lands. The Office of Technology Transfer Western Regional Coordinating Center Office of Surface Mining, Denver, CO, s 2.1–2.8.

  • Schmidt, S., Ballabio, C., Alewell, C., Panagos, P., & Meusburger, K. (2018a). Filling the European blank spot−Swiss soil erodibility assessment with topsoil samples. Journal of Plant Nutrition and Soil Science, 000, 1–12.

    Google Scholar 

  • Schmidt, S., Alewell, C., & Meusburger, K. (2018b). Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland. Remote Sensing of Environment, 211, 89–104.

    Article  Google Scholar 

  • Schmidt, S., Tresch, S., & Meusburger, K. (2019). Modification of the RUSLE slope length and steepness factor (LS-factor) based on rainfall experiments at steep alpine grasslands. MethodsX, 6, 219–229.

    Article  Google Scholar 

  • Schumacher, B. A. (2002). Methods for the determination of total organic carbon in soils and sediments. Ecological Risk Assessment Support Center, Office of Research and Development, US Environmental Protection Agency, NCEA-C-1282. Retrieved September 19, 2020, from http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf

  • Seki, M., Sakici, O. E. (2022). Ecoregional variation of Crimean pine (Pinus nigra subspecies pallasiana [Lamb.] Holmboe) stand growth. Forest Science, fxac030. https://doi.org/10.1093/forsci/fxac030

  • SPSS. (2012). SPSS 20.0 for Windows. Statistical Package for the Social Sciences Inc., New York.

  • Suriyaprasit, M., & Shrestha, D. P. (2008). Deriving land use and canopy cover factor from remote sensing and field data in inaccessible mountainous terrain for use in soil erosion modelling. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(PartB7), 1747–1750.

    Google Scholar 

  • Şengönül, K., & Şahin, A. (2017). Determining the criteria for allocating soil protection forests. IV. Nature and Forestry Symposium towards 2023, 3−6 December 2017, Antalya, 429−449 (in Turkish).

  • TEEB. (2010). The economics of ecosystems and biodiversity for national and international policy makers. Earthscan.

    Google Scholar 

  • Thomsen, L. M., Baartman, J. E. M., Barneveld, R. J., Starkloff, T., & Stolte, J. (2015). Soil surface roughness: Comparing old and new measuring methods and application in a soil erosion model. The Soil, 1, 399–410. https://doi.org/10.5194/soil-1-399-2015

    Article  Google Scholar 

  • Tiemann, A., & Ring, I. (2022). Towards ecosystem service assessment: Developing biophysical indicators for forest ecosystem services. Ecological Indicators, 137, 108704. https://doi.org/10.1016/j.ecolind.2022.108704

    Article  Google Scholar 

  • TMS. (2018). The observed climate data from the Olur weather station (1990–2018). Turkish State Meteorological Service, Ankara.

  • Tokgöz, G., & Say, N. (2021). Quantification of the impact of land use/land cover changes on ecosystem services: A case study in Adana-Karaisalı. OKU Journal of the Institute of Science and Technology, 4(3), 466–482. https://doi.org/10.47495/okufbed.1003000

  • Torri, D., Poesen, J., & Borselli, L. (1997). Predictability and uncertainty of the soil erodibility factor using a global dataset. CATENA, 31(1), 1–22.

    Article  Google Scholar 

  • Torri, D., Poesen, J., & Borselli, L. (2002). Corrigendum to “Predictability and uncertainty of the soil erodibility factor using a global dataset” [CATENA 31: 1–22 (1997)]; and to “Erratum to Predictability and uncertainty of the soil erodibility factor using a global dataset” [CATENA 32:307–308 (1998)]. CATENA, 46(4), 309–310.

    Article  Google Scholar 

  • Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2), 127–150.

    Article  Google Scholar 

  • Tüfekçioğlu, M., & Yavuz, M. (2016). Estimating surface soil erosion losses and mapping erosion risk for Yusufeli micro-catchment (Artvin). Journal of Artvin Coruh University Forestry Faculty, 17(2), 188−199 (in Turkish). https://doi.org/10.17474/acuofd.47342

  • USDA. (1983). Sediment sources, yields and delivery ratios (Chapter 6). In: United States Department of Agriculture, Soil Conservation Services, National Engineering Handbooks Section 3, Washington.

  • van der Knijff, J. M., Jones, R. J. A., & Montanarella, L. (1999). Soil erosion risk assessment in Italy. European Soil Bureau, Joint Research Centre, EUR 19022 EN.

  • Vatandaşlar, C., & Yavuz, M. (2017). Modeling cover management of RUSLE using very high resolution satellite imagery in a semiarid watershed. Environmental Earth Sciences, 76, 65. https://doi.org/10.1007/s12665-017-6388-0

    Article  Google Scholar 

  • Vatandaşlar, C. (2020). Integrating erosion control value of forest ecosystems into forest management planning process. PhD thesis, Artvin Coruh University.

  • Vatandaşlar, C., Yavuz, M., & Leuchner, M. (2020). Erosion control service of forest ecosystems: A case study from Northeastern Turkey. In S. Nedkov, G. Zhelezov, N. Ilieva, M. Nikolova, B. Koulov, K. Naydenov, S. Dimitrov (Eds.), Smart Geography (pp. 443−455). Switzerland: Springer. https://doi.org/10.1007/978-3-030-28191-5_32

  • Vatandaşlar, C., & Zeybek, M. (2020). Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey. Turkish Journal of Agriculture and Forestry. https://doi.org/10.3906/tar-1903-40

    Article  Google Scholar 

  • Vihervaara, P., Mononen, L., Santos, F., Adamescu, M., Cazacu, C., Luque, S., Geneletti, D., & Maes, J. (2017). Biophysical quantification. In B. Burkhard & J. Maes (Eds.), Mapping Ecosystem Services (pp. 93–101). Pensoft Publishers.

    Google Scholar 

  • Walkley, A., & Black, L. A. (1934). An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Science, 37, 29–38.

    Article  CAS  Google Scholar 

  • Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses - A guide to conservation planning. In: Agriculture Handbook, USDA, Science and Education Administration, Washington DC.

  • Yavuz, M., & Alkan, G. (2016). The effects of mechanical removals of mistletoe on radial growth in Scots pine stands: A case study In Kilickaya Forest Enterprise. Project report, Artin Coruh University Scientific Projects Coordinatorship, Grant Number: 2012.F10.02.14, Artvin, Turkey.

  • Yavuz, M., & Hall, M. H. (2018). A five-step protocol for estimating forest cover and rate of change in the New York City watershed. Environmental Monitoring and Assessment, 190(8), 466. https://doi.org/10.1007/s10661-018-6855-4

    Article  Google Scholar 

  • Yavuz, M., & Tufekcioglu, M. (2019). Estimating surface soil losses in the mountainous semi-arid watershed using RUSLE and geospatial technologies. Fresenius Environ Bulletin, 28(4), 2589–2598.

    CAS  Google Scholar 

  • Yener, İ. (2022). Development of high-resolution annual climate surfaces for Turkey using ANUSPLIN and comparison with other methods. Atmósfera, https://doi.org/10.20937/ATM.53189

  • Yilmaz, M., Usta, A., Altun, L., & Tilki, F. (2007). Effects of land-use regime on soil erodibility indices and soil properties in Unye Turkey. Fresenius Environmental Bulletin, 16(12), 1638–1644.

    Google Scholar 

  • Yilmaz, M., Usta, A., Çakir, G., & İnce Kahveci, S. N. (2015). The effects of land use type on soil erodibility indices in Galyan-Atasu Dam Watershed, Trabzon, N.E. Turkey. Fresenius Environmental Bulletin, 24(3), 1082−1090.

  • Zengin, M., Ozer, S., & Ozgu, M. (2009). Determining of erosion situation of the Coruh watershed by GIS and solution suggestions. The Journal of Ataturk University Agriculture Faculty, 40(1), 9–19 (in Turkish). https://doi.org/10.17097/zfd.30898

Download references

Acknowledgements

This study is a part of the PhD thesis of the first author, which is being supervised by the second author. The authors would like to express their gratitude to the Republic of Turkey’s General Directorate of Forestry (GDF) and the Japanese International Cooperation Agency (JICA) and their employees for their support during fieldwork for the Coruh River Watershed Rehabilitation Project (2012-2019).

Author information

Authors and Affiliations

Authors

Contributions

C. V. and M. Y. conceived, designed, and performed the experiments, analyzed the data, contributed to materials/analysis tools, and wrote the paper.

Corresponding author

Correspondence to Can Vatandaşlar.

Ethics declarations

Ethics approval

All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors and are aware that with minor exceptions, no changes can be made to authorship once the paper is submitted.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vatandaşlar, C., Yavuz, M. Useful indicators and models for assessing erosion control ecosystem service in a semi-arid forest landscape. Environ Monit Assess 195, 208 (2023). https://doi.org/10.1007/s10661-022-10814-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-022-10814-1

Keywords

Navigation