Literature DB >> 25267521

Integrated approach for prioritizing watersheds for management: a study of lidder catchment of kashmir himalayas.

Mohammad Imran Malik1, M Sultan Bhat.   

Abstract

The Himalayan watersheds are susceptible to various forms of degradation due to their sensitive and fragile ecological disposition coupled with increasing anthropogenic disturbances. Owing to the paucity of appropriate technology and financial resources, the prioritization of watersheds has become an inevitable process for effective planning and management of natural resources. Lidder catchment constitutes a segment of the western Himalayas with an area of 1,159.38 km(2). The study is based on integrated analysis of remote sensing, geographic information system, field study, and socioeconomic data. Multicriteria evaluation of geophysical, land-use and land-cover (LULC) change, and socioeconomic indicators is carried out to prioritize watersheds for natural resource conservation and management. Knowledge-based weights and ranks are normalized, and weighted linear combination technique is adopted to determine final priority value. The watersheds are classified into four priority zones (very high priority, high priority, medium priority, and low priority) on the basis of quartiles of the priority value, thus indicating their ecological status in terms of degradation caused by anthropogenic disturbances. The correlation between priority ranks of individual indicators and integrated indicators is drawn. The results reveal that socioeconomic indicators are the most important drivers of LULC change and environmental degradation in the catchment. Moreover, the magnitude and intensity of anthropogenic impact is not uniform in different watersheds of Lidder catchment. Therefore, any conservation and management strategy must be formulated on the basis of watershed prioritization.

Mesh:

Year:  2014        PMID: 25267521     DOI: 10.1007/s00267-014-0361-4

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  6 in total

1.  Prioritization of water management for sustainability using hydrologic simulation model and multicriteria decision making techniques.

Authors:  Eun-Sung Chung; Kil Seong Lee
Journal:  J Environ Manage       Date:  2008-12-04       Impact factor: 6.789

2.  An auxiliary method to reduce potential adverse impacts of projected land developments: subwatershed prioritization.

Authors:  Latif Kalin; Mohamed M Hantush
Journal:  Environ Manage       Date:  2008-10-03       Impact factor: 3.266

3.  Prioritizing conservation activities using reserve site selection methods and population viability analysis.

Authors:  Stephen C Newbold; Juha Siikamäki
Journal:  Ecol Appl       Date:  2009-10       Impact factor: 4.657

4.  Integrating biophysical and socioeconomic information for prioritizing watersheds in a Kashmir Himalayan lake: a remote sensing and GIS approach.

Authors:  Bazigha Badar; Shakil A Romshoo; M A Khan
Journal:  Environ Monit Assess       Date:  2013-01-05       Impact factor: 2.513

Review 5.  Global consequences of land use.

Authors:  Jonathan A Foley; Ruth Defries; Gregory P Asner; Carol Barford; Gordon Bonan; Stephen R Carpenter; F Stuart Chapin; Michael T Coe; Gretchen C Daily; Holly K Gibbs; Joseph H Helkowski; Tracey Holloway; Erica A Howard; Christopher J Kucharik; Chad Monfreda; Jonathan A Patz; I Colin Prentice; Navin Ramankutty; Peter K Snyder
Journal:  Science       Date:  2005-07-22       Impact factor: 47.728

6.  Impact of anthropogenic activities on water quality of Lidder River in Kashmir Himalayas.

Authors:  Irfan Rashid; Shakil Ahmad Romshoo
Journal:  Environ Monit Assess       Date:  2012-09-23       Impact factor: 2.513

  6 in total
  1 in total

1.  Massive land system changes impact water quality of the Jhelum River in Kashmir Himalaya.

Authors:  Mohmmad Irshad Rather; Irfan Rashid; Nuzhat Shahi; Khalid Omar Murtaza; Khalida Hassan; Abdul Rehman Yousuf; Shakil Ahmad Romshoo; Irfan Yousuf Shah
Journal:  Environ Monit Assess       Date:  2016-02-22       Impact factor: 2.513

  1 in total

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