Abstract
In this study, we used time series Landsat TM and IRS LISS III data and ecosystem services coefficients for Indian ecosystems during 1995–2015 to estimate the influences of degraded lands over land use change on ecosystem services (ES) in parts of Haryana (west), where both socioeconomic progress and the semi-arid environment have considerably affected land-use change. The results show that degraded lands constitute 9.7% of total geographic area for the year 2015. A total of 1501.44 sq. km. area remains degraded in 2015 which declined significantly from 3001.44 sq. km. in 1995 to 1910.04 sq. km. in 2005. Although a progressive decline is found in degraded areas over the study area, the dynamicity of degraded land category is a concern. The degraded lands also aid in declining the ecosystem service value of associated land as illustrated in the paper. The EVF (equivalent value factor) method used for ESV calculation revealed that the ESV for agriculture increased over the land use while the ESV for grasslands was found to decrease drastically. The study is unique to co-relate degraded lands with its corresponding land use to determine the ecosystem service value pertaining to degraded lands over land use category. The obtained accuracy was 90.4% and 93.3% for identified LULC and LDD categories respectively. The ESV for agriculture more or less remained (approx. 80%) same while ESV for grasslands declined gradually over the years (6.72% in 1995 to 2.64% in 2015). The net ecosystem service value (ESV) loss from degraded lands was about 22,738 USD/ha/y for 1995–2005, while, the net ESV profit was about 699,459 USD/ha/y for 2005–2015. These findings are important for maintaining the integrity and sustainability of degraded lands and land use.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
The data were obtained from Haryana Space Applications Centre, Hisar, and Landsat data was downloaded from USGS Explorer.
References
Bennett EM, Peterson GD, Gordon LJ (2009) Understanding relationships among multiple ecosystem services. Ecol Lett 12:1394–1404. https://doi.org/10.1111/j.1461-0248.2009.01387.x
Biratu AA, Bedadi B, Gebrehiwot SG, Melesse AM, Nebi TH, Abera W, Tamene L, Egeru A (2022) Ecosystem service valuation along landscape transformation in central ethiopia. Land 11(4):500. https://doi.org/10.3390/land11040500
Birhane E, Ashfare H, Fenta AA, Hishe H, Gebremedhin MA, Solomon N (2019) Land use land cover changes along topographic gradients in Hugumburda national forest priority area, Northern Ethiopia. Remote Sens Appl Soc Environ. 13:61–68. https://doi.org/10.1016/j.rsase.2018.10.017
Carpenter SR, Mooney HA, Agard J, Capistrano D, Defries RS, Diaz S, Dietz T, Duraiappah AK, Oteng-Yeboah A, Pereira HM (2009) Science for managing ecosystem services: beyond the millennium ecosystem assessment. Proc Natl Acad Sci USA 106:1305–1312. https://doi.org/10.1073/pnas.0808772106
Central Ground Water Board (2013) Ground Water Level Scenario in India, Ministry of Water Resources, Government of India, pp 1–37. http://cgwb.gov.in/Ground-Water/GW%20LEVEL%20SCENARIO_NOV%202013.pdf
Costanza R, d’Arge R, de Groot R, Farber S, Grasso M, Hannon B, Limburg K, Naeem S, O’Neill RV, Paruelo J, Raskin RG (1997) The value of the world’s ecosystem services and natural capital. Nature 387:253–260. https://doi.org/10.1038/387253a
Favretto N, Stringer LC, Dougill AJ, Dallimer M, Perkins JS, Reed MS, Atlhopheng JR, Mulale K (2016) Multi-criteria decision analysis to identify dryland ecosystem service trade-offs under different rangeland land uses. Ecosyst Serv 17:142–151. https://doi.org/10.1016/j.ecoser.2015.12.005
Gao J, Li S (2011) Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using geographically weighted regression. Appl Geogr 31(1):292–302. https://doi.org/10.1016/j.apgeog.2010.06.003
Gashaw T, Tulu T, Argaw M, Worqlul AW, Tolessa T, Kindu M (2018) Estimating the impacts of land use/land cover changes on ecosystem service values: the case of the Andassa watershed in the Upper Blue Nile basin of Ethiopia. Ecosyst Serv 31:219–228. https://doi.org/10.1016/j.ecoser.2018.05.001
Geri F, Amici V, Rocchini D (2010) Human activity impact on the heterogeneity of a Mediterranean landscape. Appl Geogr 30(3):370–379. https://doi.org/10.1016/j.apgeog.2009.10.006
Hynes S, Chen W, Vondolia K, Armstrong C, O’Connor E (2021) Valuing the ecosystem service benefits from kelp forest restoration: a choice experiment from Norway. Ecol Econ 179:1–10. https://doi.org/10.1016/j.ecolecon.2020.106833
Jensen JR (2016) introductory digital image processing: a remote sensing perspective, 4th edn. Brigham Young University
Kindu M, Schneider T, Teketay D, Knoke T (2016) Changes of ecosystem service values in response to land use/land cover dynamics in Munessa-Shashemene landscape of the Ethiopian highlands. Sci Total Environ 547:137–147. https://doi.org/10.1016/j.scitotenv.2015.12.127
Kromroy K, Ward K, Castillo P, Juzwik J (2007) Relationships between urbanization and the oak resource of the Minneapolis/St. Paul Metropolitan area from 1991 to 1998. Landsc Urban Plan 80(4):375–385. https://doi.org/10.1016/j.landurbplan.2006.09.002
Li S, Zhang H, Zhou X, Yu H, Li W (2020) Enhancing protected areas for biodiversity and ecosystem services in the Qinghai– Tibet Plateau. Ecosystem Service 43:10–90. https://doi.org/10.1016/j.ecoser.2020.101090
Millennium Ecosystem Assessment (2005) Ecosystems and Human Well-being: Biodiversity Synthesis, World Resources Institute, Washington, DC, pp 1–77. http://www.bioquest.org/wp-content/blogs.dir/files/2009/06/ecosystems-and-health.pdf
Nkonya E, Gerber N, Baumgartner P, von Braun J, de Pinto A, Graw V, Kato E, Kloos J, Walter T (2011) The economics of land degradation-Towards an integrated global assessment. Dev Econ Policy 66:1–262. https://www.ifpri.org/publication/economics-land-degradation
NRSC (National Remote Sensing Centre) (2016) Mapping of land degradation at 1:50,000 scale-Manual. Soil & Land Resources Assessment Division, Remote Sensing Applications, Department of Space, Government of India
Sannigrahi S, Pilla F, Zhang Q, Chakraborti S, Wang Y, Basu B, Basu AS, Joshi PK, Keesstra S, Roy PS, Sutton PC, Bhatt S, Rahmat S, Jha S, Singh LK (2021) Examining the effects of green revolution led agricultural expansion on net ecosystem service values in India using multiple valuation approaches. J Environ Manag 277:1–16. https://doi.org/10.1016/j.jenvman.2020.11138
Su S, Jiang Z, Zhang Q, Zhang Y (2011) Transformation of agricultural landscapes under rapid urbanization: a threat to sustainability in Hang-Jia-Hu region. China Appl Geogr 31(2):439–449. https://doi.org/10.1016/j.apgeog.2010.10.008
Su S, Xiao R, Zhang Y (2012) Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression. Appl Geogr 32(2):360–375. https://doi.org/10.1016/j.apgeog.2011.06.005
TEEB (2010) The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A synthesis of the approach, conclusions and recommendations of TEEB, pp 1–36. http://www.teebweb.org/wp-content/uploads/study%20and%20Reports/Reports/Synthesis%20report/TEEB%20Synthesis%20Report%202010.pdf
Wang L, Chen C, Zhang Z, Gan W, Yu J, Chen H (2021) Approach for estimation of ecosystem services value using multitemporal remote sensing images. J Appl Remote Sens. https://doi.org/10.1117/1.JRS.16.012010
Xie G, Zhen L, Lu C, Xiao Y, Chen C (2008) Expert knowledge based valuation method of ecosystem services in China. J Resour Ecol 5:911–919
Acknowledgements
The authors thankfully acknowledge the Director HARSAC, Hisar for providing the necessary facilities required to carry out the project work.
Funding
The project was funded by University Grants Commission Basic Scientific Research Fellowship received by the first author to carry out the Ph.D work at the Department of Environment Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Methodology design, data collection and analysis were performed by PB. The first draft of the manuscript was written by PB and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have 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.
About this article
Cite this article
Promila, Kumar, K.E.M. & Sharma, P. Assessment of ecosystem service value variation over the changing patterns of land degradation and land use/land cover. Environ Earth Sci 82, 54 (2023). https://doi.org/10.1007/s12665-022-10681-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12665-022-10681-6