Abstract
Graph theory based forest connectivity in pennar river basin in India. Connectivity is important for exchange their genetic material from one forest patch to another forest patch for regulates the ecosystem and maintain the biodiversity level both flora and fauna in particular region. On the earth everything is connected directly or indirectly. A land scape level forest connectivity to regulate the biodiversity, wildlife movement, seed dispersal and ecological factor. In this paper we analysis of forest patch connectivity between one forest patch to rest of other forest patches in pennar river basin. The study analyzed forest patches in 2005 is 1870, 1995 is 2602, 1985 is 2493 which is distributed in landscape area is 30532 km2, 26889 km2, 26951 km2. The study identify in different year (2005, 1995, 1985) only one components are important for connectivity (6, 20, 20) it has 715, 1525, 1406 number of patches and the total area of the components is 22449, 19701, 19640 in km2 on the basis of forest patch with decades changes the forest patches will be deceases form 1985 to 2005. Conefor sensinode software used for quantified for landscape connectivity indices. The Conefor sensinode software performing two type of modeling one is binary connection and probalistic connection. In this paper used binary connection model for landscape connectivity. For quantify the landscape connectivity, decide a threshold distance such as 100 m, 200 m, 250 m, 500 m, 750 m, 1000 m, 2000 m, 3000 m, 4000 m, 5000 m, 7500 m, 10000 m, 15000 m, 2000 m, 25000 m. Graph theoretic indices used for landscape modeling they are IIC Integral index connectivity, H Harary, LCP landscape coincidences probability. To identify the important forest patch for conservation planning and wildlife management for the development in future.
Highlights
Graph theory is a mathematical concept based on finite set of nodes and links
Graph theory applied in a variety of discipline including ecology [2]
Analysis for optimal threshold distance based on the number of links and number of components
Summary
Graph theory is a mathematical concept based on finite set of nodes and links. This concept was introduced by haray in 1969 [1]. Bunn et al demonstrated the first application of graph theory in simulating connectivity habitat network which result in suitable scenario for conservation biology [3]. Graph theory become a effective way of modeling habitats and ecological interactions among them [4-6]. A graph or network is a set of nodes and edges, where nodes are single elements within the network and edges represent connectivity between nodes (above figure 1). Landscape can viewed as a network of habitat patches connected by dispersing individual [3] Network topology is especially interesting because it is an emergent Property that affects qualities such as spread of information and diseases, vulnerability to disturbance and stability [8-10]
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