Literature DB >> 29411121

Spatio-temporal analysis of floating islands and their behavioral changes in Loktak Lake with respect to biodiversity using remote sensing and GIS techniques.

Rajiv Das Kangabam1,2, Muthu Selvaraj3, Munisamy Govindaraju3.   

Abstract

The presence of floating islands is a unique characteristic of Loktak Lake. Floating islands play a significant role in ecosystem services and ecological processes and functioning. Rapid urbanization, industrialization, and a demand for more resources have led to changes in the landscape patterns at Loktak Lake in past three decades, thereby degrading and threatening the fragile ecosystem. The aim of the present study is to assess the changes in land use practices of the Phumdis by analyzing data from the past 38 years with remote sensing techniques. Landsat images from 1977, 1988, 1999 and an Indian remote sensing image from 2015 were used to assess the land use/land cover changes. The methodology adopted is a supervised classification using the maximum likelihood technique in ERDAS software. Five land used classes were employed: open water bodies, agricultural areas, Phumdis with thick vegetation, and Phumdis with thin vegetation and settlements. The results indicate that the highest loss of land used class was in Phumdis with thin vegetation (49.38 km2) followed by Phumdis with thick vegetation (8.59 km2), while there was an overall increase in open water bodies (27.00 km2), agricultural areas (25.33 km2), and settlement (5.75 km2). Our study highlights the loss of floating islands from the Loktak as a major concern that will lead to the destruction of the only "floating national park in the world." There is a high probability of extinction of the Sangai, an important keystone species found in the Indo-Burma biodiversity hotspot, if floating islands are not protected through sustainable development.

Entities:  

Keywords:  Floating island; Ithai barrage; Land use/land cover; Loktak Lake; Rucervus eldii eldii; Sustainable land use practice

Mesh:

Year:  2018        PMID: 29411121     DOI: 10.1007/s10661-018-6485-x

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

1.  A methodology of characterizing status and trend of land changes in oases: a case study of Sangong River watershed, Xinjiang, China.

Authors:  G P Luo; C H Zhou; X Chen; Y Li
Journal:  J Environ Manage       Date:  2007-05-24       Impact factor: 6.789

2.  Mapping wetlands in the Lower Mekong Basin for wetland resource and conservation management using Landsat ETM images and field survey data.

Authors:  Charlotte MacAlister; Manithaphone Mahaxay
Journal:  J Environ Manage       Date:  2008-05-07       Impact factor: 6.789

3.  The role of Earth Observation (EO) technologies in supporting implementation of the Ramsar Convention on Wetlands.

Authors:  H MacKay; C M Finlayson; D Fernández-Prieto; N Davidson; D Pritchard; L-M Rebelo
Journal:  J Environ Manage       Date:  2008-05-06       Impact factor: 6.789

4.  Simulation of the spatial stresses due to territorial land development on Yellow River Delta Nature Reserve using a GIS-based assessment model.

Authors:  Baolei Zhang; Qiaoyun Zhang; Qingyu Feng; Bohao Cui; Shumin Zhang
Journal:  Environ Monit Assess       Date:  2017-06-12       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.  Temporal dynamics of land use/land cover change and its prediction using CA-ANN model for southwestern coastal Bangladesh.

Authors:  M Tauhid Ur Rahman; Faheemah Tabassum; Md Rasheduzzaman; Humayra Saba; Lina Sarkar; Jannatul Ferdous; Syed Zia Uddin; A Z M Zahedul Islam
Journal:  Environ Monit Assess       Date:  2017-10-17       Impact factor: 2.513

7.  Anthropogenic activity-induced water quality degradation in the Loktak lake, a Ramsar site in the Indo-Burma biodiversity hotspot.

Authors:  Rajiv Das Kangabam; Munisamy Govindaraju
Journal:  Environ Technol       Date:  2017-10-11       Impact factor: 3.247

  7 in total
  1 in total

1.  Land Resource Use Classification Using Deep Learning in Ecological Remote Sensing Images.

Authors:  Bin Xia; Fanyu Kong; Jun Zhou; Xin Wu; Qiong Xie
Journal:  Comput Intell Neurosci       Date:  2022-04-21
  1 in total

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