2020
DOI: 10.1016/j.foreco.2020.118247
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Prioritizing landscape connectivity of a tropical forest biodiversity hotspot in global change scenario

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Cited by 22 publications
(8 citation statements)
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“…Our results corroborate other studies in which highly degraded landscapes are more susceptible to biological invasion (Vilà et al ., 2007; Thiele et al ., 2008; Dawson et al ., 2015). Thus, landscape permeability generated by circuit analysis can be applied as a risk‐assessment tool for biological invasion by Acacia species studied here at different scales, as well as to establish corridors or new protected areas (Dickson et al ., 2017; Oliveira‐Junior et al ., 2020). This approach would allow detection of areas under high risk of Acacia invasion (as suggested by Minor and Gardner, 2011), define these areas as a target for preventative and monitoring efforts (Lehmann et al ., 2017), and increase the advantages of a protected area network on native species conservation (Heringer et al ., 2020).…”
Section: Discussionmentioning
confidence: 99%
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“…Our results corroborate other studies in which highly degraded landscapes are more susceptible to biological invasion (Vilà et al ., 2007; Thiele et al ., 2008; Dawson et al ., 2015). Thus, landscape permeability generated by circuit analysis can be applied as a risk‐assessment tool for biological invasion by Acacia species studied here at different scales, as well as to establish corridors or new protected areas (Dickson et al ., 2017; Oliveira‐Junior et al ., 2020). This approach would allow detection of areas under high risk of Acacia invasion (as suggested by Minor and Gardner, 2011), define these areas as a target for preventative and monitoring efforts (Lehmann et al ., 2017), and increase the advantages of a protected area network on native species conservation (Heringer et al ., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Effective conductance increases with the increase of suitable pathways for dispersal (i.e., with width and number of contiguous corridors of low local resistance; McRae, 2006; Mcrae et al ., 2008; Koen et al ., 2014). This metric has been successfully applied, for instance, to investigate the function of landscape in species dispersal, gene flow, and conservation priorities (Mcrae et al ., 2008; Thiele et al ., 2018; Oliveira‐Junior et al ., 2020).…”
Section: Methodsmentioning
confidence: 99%
“…To select the best hypothetical resistance distance model to be used in further analysis, we generated six beta regressions models through the betareg function in 'betareg' package (Cribari-Neto & Zeileis, 2010) to test the effect of pairwise resistance distance among inselbergs from each of the six models of Jaccard dissimilarity (Thiele et al, 2018;Oliveira-Junior et al, 2020). As Jaccard dissimilarity measures how much species are not shared between pairs of inselbergs, we assume as greater the resistance distance between areas greater the isolation and greater the Jaccard dissimilarity (Oliveira-Junior et al, 2020) (Fig. S1).…”
Section: Discussionmentioning
confidence: 99%
“…They represent six models of resistance exerted by the landscape to the plant dispersal among inselbergs. Therefore, the cost of moving through the cells is affected by the value of resistance attributed to pixel (Oliveira-Junior et al, 2020). The values of hypothetical models were generated by Jaccard dissimilarity through species shared between inselbergs and others land use classes (native forest, savannah, grasslands and water + anthropogenic activity) (Fig.…”
Section: Landscape Analysismentioning
confidence: 99%
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