2018
DOI: 10.1016/j.ecolind.2018.04.051
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The challenge of assaying landscape connectivity in a changing world: A 27-year case study in the southern Great Plains (USA) playa network

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Cited by 20 publications
(14 citation statements)
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“…We calculated average nodal connectance (average number of connections that each node has with other nodes, with lower values indicating remnants that are more isolated), graph diameter (longest most-direct path between the farthest two connected nodes, indicating the distance of the most efficient dispersal route through the network, moving from remnant to remnant), and transitivity (a unitless clustering coefficient that ranges from 0 to 1, with higher values indicating that most remnants are within the coalescence distance of at least two other remnants). See Csardi and Nepusz 72 for more information on how each of these metrics is calculated and McIntyre et al 41 for ecological interpretation of these metrics. We were able to run the analyses for remnants ≥ 3 ha using package igraph 72 in RStudio on a Microsoft Azure virtual machine that was optimized to memory size of 20 vCPUs, 160 Gb RAM, 32 data disks, 32,000 Max IOPS, and 750 Gb temporary storage.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We calculated average nodal connectance (average number of connections that each node has with other nodes, with lower values indicating remnants that are more isolated), graph diameter (longest most-direct path between the farthest two connected nodes, indicating the distance of the most efficient dispersal route through the network, moving from remnant to remnant), and transitivity (a unitless clustering coefficient that ranges from 0 to 1, with higher values indicating that most remnants are within the coalescence distance of at least two other remnants). See Csardi and Nepusz 72 for more information on how each of these metrics is calculated and McIntyre et al 41 for ecological interpretation of these metrics. We were able to run the analyses for remnants ≥ 3 ha using package igraph 72 in RStudio on a Microsoft Azure virtual machine that was optimized to memory size of 20 vCPUs, 160 Gb RAM, 32 data disks, 32,000 Max IOPS, and 750 Gb temporary storage.…”
Section: Methodsmentioning
confidence: 99%
“…This approach allows for identification of nodes that are crucial in supporting overall network cohesion; because identification of priority sites is a key goal of conservation, graph theory is an important rapid-assessment tool 37 , 39 . In this approach, the overall network of remnants can be quantified by metrics that assess node density, path redundancy, and network resilience 40 , 41 . In addition, the roles of individual forest remnants in facilitating connectivity through the network can be determined 42 , 38 .…”
Section: Introductionmentioning
confidence: 99%
“…Interestingly, they provided the first and so far, the only evidence that past connectivity (1962 and/or 1981) and/or the successive temporal changes in connectivity (1962-1981 and/or 1981-2000) explain the current diversity patterns of trees, frogs and birds. Similar approaches were applied by Hernández et al (2015), McIntyre et al (2018) and Saura et al (2019), who used variations in global and/or local spatial connectivity over several time steps to assess temporal changes in the spatial connectivity of forest, aquatic habitats and protected areas over long time periods (1975-2011, 1945-2000s and 2010-2018) By contrast, several studies tested for significant differences in local or global connectivity between time steps in the time series. These differences were assessed by comparing the standard error (Rayfield et al 2008;Raatikainen et al 2018) To go further, especially if many time steps are involved, it is possible to use statistical modelling to identify the sign and the magnitude of the overall trend of connectivity values, while accounting for the variability of connectivity values occurring over the period concerned.…”
Section: Assessment Of Variations In Spatial Connectivity Valuesmentioning
confidence: 99%
“…, respectively McIntyre et al (2018). averaged connectivity values obtained from numerous short time steps (e.g., intra-decadal) to a few long time steps (e.g., inter-decadal).…”
mentioning
confidence: 99%
“…As the primary source of aboveground freshwater in an otherwise semi-arid region, playas are foci for biodiversity [ 13 , 14 ]. These wetlands are primarily fed via surface runoff from seasonal (June–September) precipitation [ 15 ] and are dry more often than they are wet [ 16 , 17 ]. As depressional wetlands, playas are highly influenced by land use/land cover in their surrounding watersheds and precipitation availability, which jointly affect the amount of runoff reaching a playa [ 18 , 19 , 20 ].…”
Section: Introductionmentioning
confidence: 99%