Network approach on characterizing floral diversity in the agroforestry zone of Mount Makiling Forest Reserve, Philippines

Abstract

Abstract Complex networks have been used to characterize real world systems. The network structure may signify important relationships which may not be evident in other methods of analysis. In this study, we characterize the floral diversity in three study sites in the agroforestry zone of Mount Makiling Forest Reserve using network analysis. Plant species found in each study site are considered as nodes (N). Edges (E) are established to connect species with the same alternate role and habit. The dataset includes N = 157 and E = 4279 for Bagong Silang site, N = 145 and E = 3740 for the Karay site, and N = 122 and E = 2429 for the Magnetic Hill site. Network parameters such as degree, path length, clustering coefficient, modularity and number of connected components were calculated. Obtained values were compared to published diversity index. Results show that lower clustering coefficient and higher average path length signify higher diversity. A higher number of disconnected components also indicates diversity.