Volume 7, Issue 3 (2019)
ECOPERSIA 2019, 7(3): 141-148 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Gheitury M, Heshmati M, Ahmadi M. Longterm Land use Change Detection in Mahidasht Watershed, Iran. ECOPERSIA 2019; 7 (3) :141-148
URL: http://ecopersia.modares.ac.ir/article-24-30441-en.html
URL: http://ecopersia.modares.ac.ir/article-24-30441-en.html
1- Soil Conservation & Watershed Management Department, Kermanshah Agricultural & Natural Resources Research & Education Center, Agricultural Research, Education and Extension Organization (AREEO), Iran , m.ghaitori@areeo.ac.ir
2- Soil Conservation & Watershed Management Department, Kermanshah Agricultural & Natural Resources Research & Education Center, Agricultural Research, Education and Extension Organization (AREEO), Iran
2- Soil Conservation & Watershed Management Department, Kermanshah Agricultural & Natural Resources Research & Education Center, Agricultural Research, Education and Extension Organization (AREEO), Iran
Abstract: (5619 Views)
Changes in land use are considered as significant factors by decision makers which can be precisely evaluated by Geographic Information System (GIS) and Remote Sensing (RS) techniques. However, land use alteration should also be evaluated for monitoring and curtailing the land degradation, especially deforestation and degradation of rangelands. The present research was then carried out in the Mahidasht Watershed, a western semi-arid region in Iran for evaluating land use change during 1955- 2017, using aerial photos (1955) and Landsat satellite images (TM 1989, ETM 2002 and 2017). The main land use types of the study watershed including agriculture, forest and, rangeland and mix land use boundaries were mapped for each period (1955, 1989, 2002 and 2017). Results showed that forests and rangelands suffered from accelerated destruction during 1955– 2017 period. The reduction rate in areas of forests and rangelands were 87 and 147 ha/y. In contrast, the area of rain-fed agriculture and mixed land use (mixed of the forest- rangeland, and rangeland- rain-fed) that are more vulnerable to degradation hazard were increased by 500 ha per year. Rill and gully erosion features were obviously found in converted areas, especially in the rain-fed lands, indicating siltation and other environmental problems such as deforestation and carbon dioxide emission. In addition, irrigated lands were increased by 59.8 ha annually due to enhancing groundwater extraction through water well drilling. Currently, excessive water extraction has resulted in a negative balance of groundwater table leading to water scarcity in this area. The mix land use were found more vulnerable to soil erosion and deforestation problems.
Article Type: Original Research |
Subject:
Ecosystem Management, Monitoring, Policy and Law
Received: 2019/02/14 | Accepted: 2019/05/18 | Published: 2019/07/21
Received: 2019/02/14 | Accepted: 2019/05/18 | Published: 2019/07/21
References
1. FAO. Statistical yearbook 2012, world food and agriculture [Internet]. Rome: FAO; 2012 [cited 2018 May 15]. Available from: http://www.fao.org/3/i2490e/i2490e00.htm. [Link]
2. Plan and Budget Organization. National Agricultural Census [Internet]. Tehran; Statistics Center of Iran; 2014. [cited 2018 Sep 15]. Available from: https://www.amar.org.ir/english/Census-of-Agriculture [Link]
3. Riebsame WE, Parton WJ, Galvin KA, Burke IC, Young R, Knop E. Integrated modeling of landuse and cover change. BioScience. 1994;44(5):350-6. [Link] [DOI:10.2307/1312385]
4. Turner MG, Ruscher CL. Changes in landscape patterns in Georgia, USA. Landsc Ecol. 1988;1(4):241-51. [Link] [DOI:10.1007/BF00157696]
5. Butt A, Shabbir R, Saeed Ahmad Sh, Aziz N. Landuse change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan. Egypt J Remote Sens Space Sci. 2015;18(2):251-9. [Link] [DOI:10.1016/j.ejrs.2015.07.003]
6. Asadi A, Barati AA, Kalantari K. Analyzing and modeling the impacts of agricultural land conversion. Business & Management Review. International Conference on Business and Economic Development (ICBED), New York-USA. London: The Business & Management Review; 2014;4(4):110-8. [Link]
7. Azadi H, and Barati AA. Agricultural land conversion drivers in northeast Iran [Internet]. United Kingdom: The Land Deal Politics Initiative; 2013 [cited 2018 Jul 02]. Available from: https://www.iss.nl/sites/corporate/files/LDPI_WP_36.pdf [Link]
8. Dadrasi Sabzevar A, Nikkami D. The effect of landuse optimization and applying correct management methods in Sheshtamad Watershed of Khorasan Razavi Province on mitigating of soil erosion and increasing net income. Watershed Eng Manag. 2017;9(1):71-86. [Persian] [Link]
9. Liversage H. Land tenure security and poverty reduction [Internet]. Rome: International Fund for Agriculture and Development; 2010 [cited 2018 May 25]. Available from: https://www.ifad.org/en/web/knowledge/publication/asset/39397937 [Link]
10. The World Bank. World development report 2008: Agriculture for development [Internet]. Washington DC: World Bank; 2007 [cited 2018 May 20]. Available from: https://openknowledge.worldbank.org/handle/10986/5990. [Link]
11. Yuan F, Sawaya, KE, Loeffelholz BC, Bauer ME. Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal landsat remote sensing. Remote Sens Environ. 2005;98(2-3):317-28. [Link] [DOI:10.1016/j.rse.2005.08.006]
12. Lo CP, Quattrochi DA. Land-use and land-cover change, urban heat island phenomenon, and health implications. Maryland: American Society for Photogrammetry and Remote Sensing; 2003. pp. 1053-63. [Link] [DOI:10.14358/PERS.69.9.1053]
13. Cihlar j. Land cover mapping of large areas from satellites: Status and research priorities. Int J Remote Sens. 2000;21(6-7):1093-114. [Link] [DOI:10.1080/014311600210092]
14. Lambin EF, Turner BL, Geist HJ, Agbola SB, Angelsen A, Bruce JW, et al. The causes of land-use and land-cover change: Moving beyond the myths. Glob Environ Change. 2001;11(4):261-9. [Link] [DOI:10.1016/S0959-3780(01)00007-3]
15. Fathian F, Prasad AD, Dehghan Z, Eslamian S. Influence of land use/land cover change on land surface temperature using RS and GIS techniques. Int J Hydrol Sci Technol. 2015;5(3):195-207. [Link] [DOI:10.1504/IJHST.2015.071348]
16. Arekhi S, Fathizadeh H. Analyzing landscape degradation using landscape ecological metrics, remote sensing and GIS (Case study: Doiraj watershed, Ilam province). J Range Desert Res. 2014;21(3):466-81. [Link]
17. Akbari E, Zangane Asadi MA, Taghavi E. Change detection land use and land cover regional Neyshabour using different methods of statistical training theory. Geogr Plan Space. 2016;6(20):35-50. [Persian] [Link]
18. Srivastava SK, Gupta RD. Monitoring of changes in land use/land cover using multi sensor satellite data. Map India Conference 2003. New Delhi: GISdevelopment.net; 2003. [Link]
19. Thapa RB, Murayama Y. Land use change analysis using remote sensing and GIS: A case study of Kathmandu metropolitan. Res Abstr Spat Inf Sci. 2006. [Link]
20. Barati AA, Asadi A, Kalantari K, Azadi H, Witlox F. Agricultural land conversion in northwest Iran. Int J Environ Res. 2015;9(1):281-90. [Link]
21. Nemati Paykani M, Jalilian N. Medicinal plants of Kermanshah province. Taxon Biosyst. 2012;4(11):69-78. [Persian] [Link]
22. Glavovic, B, Scheyvens R, Overton J. Waves of adversity, layers of resilience; exploring the sustainable livelihoods approach. Proceedings of the 3rd Biennial Conference of the International Development Studies, Network of Aotearoa, Massey University, New Zealand, 05-07 December, 2002. New Zealand: Massey University; 2002. [Link]
23. Haileslassie A, Priess J, Veldkamp E, Teketay D, Lesschen JP. Assessment of soil nutrient depletion and its spatial variability on smallholders; mixed farming systems in Ethiopia. Agric Ecosyst Environ. 2005;108(1):1-16. [Link] [DOI:10.1016/j.agee.2004.12.010]
24. Gomez JA, Sobrinho TA, Giraldez, JV, Fereres E. Soil management effects on runoff, erosion and soil properties in an olive grove of Southern Spain. Soil Tillage Res. 2009;102(1):5-13. [Link] [DOI:10.1016/j.still.2008.05.005]
25. Sabzghabaei GR, Raz S, Dashti S, Yousefi Khanghah S. Study the changes of land use by the help of GIS & RS case study: Andimeshk city. Geogr Dev Iran J. 2017;15(46).35-42. [Persian] [Link]
26. Reis S. Analyzing landuse/land cover changes using remote sensing and GIS in Rize, North-East Turkey. Sensors. 2008;8(10):6188-202. [Link] [DOI:10.3390/s8106188]
27. Long H, Wu X, Wang W, Dong G. Analysis of urban-rural land-use change during 1995- 2006 and its policy dimensional driving forces in Chongqing, China. Sensors. 2008;8(2):681-99. [Link] [DOI:10.3390/s8020681]
28. Whitmarsh D, Palmieri MG. Social acceptability of marine aquaculture: The use of survey-based methods for eliciting public and stakeholder preferences. Mar Policy. 2009. 33:452-7. [Link] [DOI:10.1016/j.marpol.2008.10.003]
29. Ranjbarmanesh N, Entezari M, Ramesht MH. The crisis caused by the drop in groundwater level due to tectonic activity in Mahidshat Plain. J Appl Geomorphol Iran. 2013;1(2):19-36. [Persian] [Link]
30. Were HK, Kabira JN, Kinyua ZM, Olubayo FM, Karinga JK, Aura J. Occurrence and Distribution of Potato Pests and Diseases in Kenya. Potato Res. 2013;56(4):325-42. [Link] [DOI:10.1007/s11540-013-9246-9]
31. Bayat B, Matkan AA, Rahmani B, Arabi B. Comprehensive programming on land-use planning in urban basin using GIS; A case study: Mahidasht basin, Kermanshah. Amayesh J. 2011;(13):119-35. [Persian] [Link]
32. Heshmati M, Arifin A, Shamshuddin J, Majid NM. Predicting N, P, K and organic carbon depletion in soils using MPSIAC model at the Merek catchment, Iran. Geoderma. 2012;175-176: 64-77. [Link] [DOI:10.1016/j.geoderma.2011.12.028]
33. Heshmati M, Arifin A, Shamshuddin J, Majid NM, Ghaituri M. Factors affecting landslides occurrence in agro-ecological zones in the Merek catchment, Iran. J Arid Environ. 2011;75(11):1072-82. [Link] [DOI:10.1016/j.jaridenv.2011.06.011]
34. Chen Z, Wang L, Wei A, Gao J, Lu Y, Zhou J. Land-use change from arable lands to orchards reduced soil erosion and increased nutrient loss in a small catchment. Sci Total Environ. 2019;648:1097-104. [Link] [DOI:10.1016/j.scitotenv.2018.08.141]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |