2014
DOI: 10.1007/s10980-013-9980-z
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Dynamic connectivity of temporary wetlands in the southern Great Plains

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Cited by 43 publications
(30 citation statements)
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“…This indicates, however, that 64.0% of playa basins in our focal area did not hold detectable water even during the wettest date examined. This number is comparable to the findings of Ruiz et al [65] for Landsat 5 TM scene 30/36 (just north of our focal area): they found that fewer than half of the 8404 playa basins in their study area ever held water over 37 dates spanning a five-year period, with a maximum of 2955 (35.2%) basins wet on a single date (and a minimum of 127 = 1.5%). During the drought (3 May 2014 image), 91.4% of the relatively few wet playas present were associated with urban development (34 playas) or other human modifications (41 playas) that increase hydroperiod (such as construction of pits, inflow channels, etc.…”
Section: Resultssupporting
confidence: 91%
“…This indicates, however, that 64.0% of playa basins in our focal area did not hold detectable water even during the wettest date examined. This number is comparable to the findings of Ruiz et al [65] for Landsat 5 TM scene 30/36 (just north of our focal area): they found that fewer than half of the 8404 playa basins in their study area ever held water over 37 dates spanning a five-year period, with a maximum of 2955 (35.2%) basins wet on a single date (and a minimum of 127 = 1.5%). During the drought (3 May 2014 image), 91.4% of the relatively few wet playas present were associated with urban development (34 playas) or other human modifications (41 playas) that increase hydroperiod (such as construction of pits, inflow channels, etc.…”
Section: Resultssupporting
confidence: 91%
“…Previous graph theory studies have assessed structural connectivity by measuring Euclidean distances between habitats (e.g., Pyke 2005;Fortuna et al 2006;Ribeiro et al 2011;Peterman et al 2013;Ruiz et al 2014;Tulbure et al 2014;Uden et al 2014). Euclidean distance graph connection strategies may correlate well with amphibian species richness in relatively undisturbed areas with optimal movement terrain (Ribeiro et al 2011), but regularly over-predict connectivity in complex heterogeneous landscapes (Fletcher et al 2011).…”
Section: Effect Of Graph Connection Strategymentioning
confidence: 99%
“…Recently, remotely sensed time series of surface water extent and distribution have been used to study connectivity in spatiotemporally dynamic landscapes (Ruiz et al 2014;Tulbure et al 2014). Such an approach would greatly benefit future work studying ecological connectivity at regional scales by providing improved spatial data on potential organism habitats and flooding inundation, and by incorporating the temporality of landscape dynamics.…”
Section: Limitations and Future Workmentioning
confidence: 99%
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“…Our aim was to advance previous efforts using the static National Wetland Inventory (NWI) dataset to map wetlands lacking obvious surface water connections (Tiner 2003;Lane et al 2012), and more recent efforts to map climatically variable biological connectivity among wetlands Ruiz et al 2014). Our objectives were to quantify (1) the interannual variation in wetland extent, (2) how spatial and interannual changes in wetland extent translate into variability in observed wetland-wetland and wetland-stream connectivity, and (3) how interannual variability in waterbody merging and connectivity is related to climate conditions and stream flow.…”
Section: Introductionmentioning
confidence: 99%