GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS
Forest connectivity is necessary for prioritizing biodiversity conservation. Connectivity indices facilitate to predict the movement pattern of species across complex landscapes. Change in area and inter-patch distance in forest affects the biodiversity, wildlife movement, seed dispersal and other e...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2012-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/65/2011/isprsarchives-XXXVIII-8-W20-65-2011.pdf |
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| author | B. S. Shantala Devi M. S. R. Murthy G. S Pujar B. Debnath |
| author_facet | B. S. Shantala Devi M. S. R. Murthy G. S Pujar B. Debnath |
| author_sort | B. S. Shantala Devi |
| collection | DOAJ |
| description | Forest connectivity is necessary for prioritizing biodiversity conservation. Connectivity indices facilitate to predict the movement pattern
of species across complex landscapes. Change in area and inter-patch distance in forest affects the biodiversity, wildlife movement, seed
dispersal and other ecological factors. In graph theory components play an important role to analyze the group of patches and its impact
with reference to the threshold distance between the patches. The study on link, threshold distance and components showed that with the
increase in threshold distance, number of components decreased and number of links increased. Also Integral index of connectivity
importance value (dIIC > 0.05) is high for big forest patches and considered to be intact forest. For those less than 0.05 importance value
requires protection and conservation. Hence dIIC is categorised into Very low, low, Medium, high and Very high to analyze the degree of
connectivity. Choosing correct threshold distance based on the requirement of species movement is preferred. Based on the selection of
potential habitat patches shortest path between them is determined using Ant Colony Optimization (ACO) Technique. Vegetation type
Map, Slope, Elevation, Disturbance Index, Biological Richness Map and DIIC layers facilitated to analyze the optimal path of the species
through ACO for connectivity. Graph Theory and ACO works as a robust tool for Biodiversity Conservation. |
| first_indexed | 2024-12-20T12:36:45Z |
| format | Article |
| id | doaj.art-14717e2367414f508d9ebc23e920865d |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-20T12:36:45Z |
| publishDate | 2012-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-14717e2367414f508d9ebc23e920865d2022-12-21T19:40:36ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-08-01XXXVIII-8/W20657010.5194/isprsarchives-XXXVIII-8-W20-65-2011GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSISB. S. Shantala Devi0M. S. R. Murthy1G. S Pujar2B. Debnath3Forestry and Ecology Division, National Remote sensing Centre, ISRO, Dept of Space, Hyderabad 500625, INDIAForestry and Ecology Division, National Remote sensing Centre, ISRO, Dept of Space, Hyderabad 500625, INDIAForestry and Ecology Division, National Remote sensing Centre, ISRO, Dept of Space, Hyderabad 500625, INDIAForestry and Ecology Division, National Remote sensing Centre, ISRO, Dept of Space, Hyderabad 500625, INDIAForest connectivity is necessary for prioritizing biodiversity conservation. Connectivity indices facilitate to predict the movement pattern of species across complex landscapes. Change in area and inter-patch distance in forest affects the biodiversity, wildlife movement, seed dispersal and other ecological factors. In graph theory components play an important role to analyze the group of patches and its impact with reference to the threshold distance between the patches. The study on link, threshold distance and components showed that with the increase in threshold distance, number of components decreased and number of links increased. Also Integral index of connectivity importance value (dIIC > 0.05) is high for big forest patches and considered to be intact forest. For those less than 0.05 importance value requires protection and conservation. Hence dIIC is categorised into Very low, low, Medium, high and Very high to analyze the degree of connectivity. Choosing correct threshold distance based on the requirement of species movement is preferred. Based on the selection of potential habitat patches shortest path between them is determined using Ant Colony Optimization (ACO) Technique. Vegetation type Map, Slope, Elevation, Disturbance Index, Biological Richness Map and DIIC layers facilitated to analyze the optimal path of the species through ACO for connectivity. Graph Theory and ACO works as a robust tool for Biodiversity Conservation.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/65/2011/isprsarchives-XXXVIII-8-W20-65-2011.pdf |
| spellingShingle | B. S. Shantala Devi M. S. R. Murthy G. S Pujar B. Debnath GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS |
| title_full | GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS |
| title_fullStr | GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS |
| title_full_unstemmed | GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS |
| title_short | GRAPH THEORY AND ANT COLONY OPTIMIZATION APPROACH FOR FOREST PATCH CONNECTIVITY ANALYSIS |
| title_sort | graph theory and ant colony optimization approach for forest patch connectivity analysis |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/65/2011/isprsarchives-XXXVIII-8-W20-65-2011.pdf |
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