Literature DB >> 31989334

Studying land use dynamics using decadal satellite images and Dyna-CLUE model in the Mahanadi River basin, India.

P Das1, M D Behera2, S Pal3, V M Chowdary4, P R Behera5, T P Singh3.   

Abstract

Population growth rate indicates the proportional rate of settlement expansion and landscape modification in any river basin. The Mahanadi River basin (MRB), which is a densely populated, cropland and forest-dominated landscape, is selected as a case study area for studying the nature of built-up expansion and the corresponding land cover modifications. Satellite data-derived land use/land cover (LU/LC) maps for the years 1995, 2005, and 2015 were used for identification of landscape changes during the past three decades. One of the major LU/LC changes are observed in terms of increase in the water, which may be attributed to construction of new dams at the cost of the croplands and forest areas. Conversion of forest to cropland and expansion and densification of built-up areas in and around the existing built-up areas are also identified as a major LU/LC change. The geostatistical analysis was performed to identify the relationship between LU/LC classes with drivers, which showed that built-up areas were more in topographically flat terrain with higher soil depth, and expanded more around the existing built-up areas; cropland areas were more at lower elevation and less sloppy terrain, and forest areas were more at higher elevation. The LU/LC scenario of 2025 was projected using a spatially explicit dynamic conversion of land use and its effects (Dyna-CLUE) modeling platform with the LU/LC change trends of past 10 years (2005-2015) and 20 years (1995-2015). The major LU/LC changes observed during 2005-2015 were built-up expansion by 36.53% and deciduous forest and cropland reduction by 0.35% and 0.45%, respectively. Thus, the corresponding predicted change during 2015-2025 estimated built-up expansion by 25.70% and deciduous forest and croplands loss by 0.43% and 0.35%, respectively. On the other hand, during 1995 to 2015, the total built-up expansion and deciduous forest and cropland reduction were observed 50.79%, 0.45%, and 0.73%, respectively. Thus, the predicted changes during 2015-2025 were estimated as 18.48% built-up expansion and 0.22% and 0.21% deciduous forest and cropland loss. However, with the conditions of restricted deforestation and less landscape modification, the LU/LC projections show less built-up area expansion, reducing the cropland, fallow land, plantation, and waste land. The reduced numbers of land cover conversions types during 2005-2015 compared with 1995-2005 indicate more stabilized landscape. The input LU/LC maps and statistical analysis demonstrated the landscape modifications and causes observed in the basin. The model projected LU/LC maps are giving insights to possible changes under multiple pathways, which will help the agriculture, forest, urban, and water resource planners and managers in improved policy-making processes.

Entities:  

Keywords:  Drivers; Dyna-CLUE; Ecological footprint; LU/LC; Logistic regression

Mesh:

Year:  2020        PMID: 31989334     DOI: 10.1007/s10661-019-7698-3

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


  6 in total

1.  Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta economic area of China.

Authors:  Hualou Long; Guoping Tang; Xiubin Li; Gerhard K Heilig
Journal:  J Environ Manage       Date:  2006-07-05       Impact factor: 6.789

2.  Managing extreme natural disasters in coastal areas.

Authors:  P C Kesavan; M S Swaminathan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2006-08-15       Impact factor: 4.226

3.  Assessment and monitoring of long-term forest cover changes in Odisha, India using remote sensing and GIS.

Authors:  C Sudhakar Reddy; C S Jha; V K Dadhwal
Journal:  Environ Monit Assess       Date:  2012-09-21       Impact factor: 2.513

4.  Urban growth, climate change, and freshwater availability.

Authors:  Robert I McDonald; Pamela Green; Deborah Balk; Balazs M Fekete; Carmen Revenga; Megan Todd; Mark Montgomery
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-28       Impact factor: 11.205

5.  Remote sensing based deforestation analysis in Mahanadi and Brahmaputra river basin in India since 1985.

Authors:  M D Behera; P Tripathi; P Das; S K Srivastava; P S Roy; C Joshi; P R Behera; J Deka; P Kumar; M L Khan; O P Tripathi; T Dash; Y V N Krishnamurthy
Journal:  J Environ Manage       Date:  2017-11-15       Impact factor: 6.789

6.  Temporal and spatial change detecting (1998-2003) and predicting of land use and land cover in core corridor of Pearl River Delta (China) by using TM and ETM+ images.

Authors:  Fenglei Fan; Yunpeng Wang; Zhishi Wang
Journal:  Environ Monit Assess       Date:  2007-06-13       Impact factor: 3.307

  6 in total
  1 in total

1.  Advances in terrestrial and ocean dynamics studies in India.

Authors:  M D Behera; C S Reddy; M L Khan
Journal:  Environ Monit Assess       Date:  2020-01-27       Impact factor: 2.513

  1 in total

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