Predicting landscape ecological network in 2035 at Chini-Bera forest complex, Pahang for conservation planning

Abstract

The efficacy of simulating the ecological networks of landscapes has been examined using a wide range of modelling techniques, although it has not yet been fully investigated. In order to prepare for conservation and identify suitable corridors for wildlife species, this study aims to model and predict landscape ecological networks in 2035 for the Malayan tapir (Tapirus indicus) at Chini-Bera Forest Complex, Pahang. It was parameterized using changes between 1988 and 1999 and verified with land use in 2020 using Land Change Modeller (LCM)-Markov Chain models. The year 2035 was then simulated for land use growth using these models. Then, utilizing integrated circuit models, connectivity analysis, and least cost analysis, the simulated 2035 land was determined to identify the potential corridors. Utilizing potential corridors and the least cost pathways for Tapir at the patch sites, the integrated models enabled for the assessment of connectivity for Tapir. The connectivity of forest areas may be improved by putting the designated routes through changes. This study illustrates how combining models can enhance ecological networks in forest complexes and shows how important such models are for biodiversity preservation and forest planning.