Ecosystem services in different agro-climatic zones in eastern India: impact of land use and land cover change View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Rahul Tripathi, K. C. Moharana, A. D. Nayak, B. Dhal, Md Shahid, B. Mondal, S. D. Mohapatra, P. Bhattacharyya, Nuala Fitton, Pete Smith, A. K. Shukla, H. Pathak, A. K. Nayak

ABSTRACT

Land use and land cover (LULC) change have considerable influence on ecosystem services. Assessing change in ecosystem services due to LULC change at different spatial and temporal scales will help to identify suitable management practices for sustaining ecosystem productivity and maintaining the ecological balance. The objective of this study was to investigate variations in ecosystem services in response to LULC change over 27 years in four agro-climatic zones (ACZ) of eastern India using satellite imagery for the year 1989, 1996, 2005, 2011 (Landsat TM) and 2016 (Landsat 8 OLI). The satellite images were classified into six LULC classes, agriculture land, forest, waterbody, wasteland, built-up, and mining area. During the study period (1989 to 2016), forest cover reduced by 5.2%, 13.7%, and 3.6% in Sambalpur, Keonjhar, and Kandhamal districts of Odisha, respectively. In Balasore, agricultural land reduced by 17.2% due to its conversion to built-up land. The value of ecosystem services per unit area followed the order of waterbodies > agricultural land > forests. A different set of indicators, e.g., by explicitly including diversity, could change the rank between these land uses, so the temporal trends within a land use are more important than the absolute values. Total ecosystem services increased by US$ 1296.4 × 105 (50.74%), US$ 1100.7 × 105 (98.52%), US$ 1867 × 105 (61.64%), and US$ 1242.6 × 105 (46.13%) for Sambalpur, Balasore, Kandhamal, and Keonjhar, respectively. More... »

PAGES

98

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10661-019-7224-7

DOI

http://dx.doi.org/10.1007/s10661-019-7224-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111612706

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30675638


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