2019
DOI: 10.1016/j.gecco.2019.e00685
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Quantifying landscape connectivity for wild Asian elephant populations among fragmented habitats in Thailand

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Cited by 13 publications
(14 citation statements)
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“…The PAs serve as a habitat for a growing population of several hundred wild elephants (Jarungrattanapong & Sajjanand, 2012; Menkham et al, 2019), with some PAs reaching a population density of 0.2 elephants/km 2 (Kitratporn & Takeuchi, 2020). Elephants often exit the PAs and individuals can wander as far as 30 km from the boundaries (Suksavatea, Duengkaeb, & Chaiyes, 2019). In 2012, approximately 70–80 elephants lived in the area between the PAs and agricultural land (Jarungrattanapong & Sajjanand, 2012).…”
Section: Methodsmentioning
confidence: 99%
“…The PAs serve as a habitat for a growing population of several hundred wild elephants (Jarungrattanapong & Sajjanand, 2012; Menkham et al, 2019), with some PAs reaching a population density of 0.2 elephants/km 2 (Kitratporn & Takeuchi, 2020). Elephants often exit the PAs and individuals can wander as far as 30 km from the boundaries (Suksavatea, Duengkaeb, & Chaiyes, 2019). In 2012, approximately 70–80 elephants lived in the area between the PAs and agricultural land (Jarungrattanapong & Sajjanand, 2012).…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, in order to facilitate effective planning, provision of land and infrastructure development, the connectivity, bottlenecks, and region-based connectivity characteristics could be useful and informative for authorities in allocating conservation resources to areas with high conservation value. However, these passages will also be helpful in connecting other species to their sub populations in the study area [18,68], while minimizing interactions with human society.…”
Section: Implications and Recommendationsmentioning
confidence: 99%
“…Many quantitative approaches, such as the least-resistant path [53,57,58,[60][61][62] and the circuit theory [63][64][65][66][67], have been recently developed to assess the connectivity and barriers associated with movement pathways. However, a majority of the studies on connectivity analysis are based on the characteristics of the landscape [59,63,64,[68][69][70][71][72][73][74][75][76], while only few studies [69,70] have considered human-wildlife conflict occurrence when assessing connectivity. Conflict-prone regions act as a significant movement barrier, which forces the species to adapt accordingly by changing their use of resources [76][77][78].…”
Section: Introductionmentioning
confidence: 99%
“…In the past decades, various methods of landscape ecology have been applied to assessing landscape connectivity and planning ecological networks (Li et al, 2015), (Zhang and Wang, 2006), such as landscape metrics to detect and monitor ecological changes (Narumalani et al, 2004;Su et al, 2010;Tian et al, 2011;Pan et al, 2019), circuit theory, gravity modelling, least-cost approach and graph theory to identify ecological corridors, develop green space networks, and also evaluate landscape connectivity (Kong et al, 2010), (Zhang et al, 2019), (Hofman et al, 2018), (Suksavate et al, 2019). In this paper, first, we evaluated land use changes and their ecological connectivity using landscape metrics, and then least-cost ecological corridors were identified to create green space networks based on graph theory and least-cost modelling.…”
Section: Introductionmentioning
confidence: 99%