TY - JOUR
T1 - Assessment of playa wetland network connectivity for amphibians of the south-central Great Plains (USA) using graph-theoretical, least-cost path, and landscape resistance modelling
AU - Heintzman, L. J.
AU - McIntyre, N. E.
N1 - Funding Information:
Funding for this study was provided by the National Science Foundation (NSF-Macrosystems Biology grant 1340548). LJH was also financially supported by the Elo and Olga Urbanovsky Foundation of Texas Tech University and the Sandy Land Underground Water Conservation District Board. We greatly appreciate technical advice from Lucia Barbato (Texas Tech University) and Joseph Drake (University of Massachusetts-Amherst) and thank the Playa Lakes Joint Venture for data access. We thank Kerry Griffis-Kyle and Tigga Kingston (Texas Tech University) and four anonymous reviewers for comments on earlier manuscript drafts. Map packages with the model results used to produce all figures and Online Supplemental Materials are in a public-access ArcGIS Online repository; URLs of each map package are given in the Online Supplemental Materials.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
PY - 2021/4
Y1 - 2021/4
N2 - Context: Land-cover changes are likely affecting structural and functional connectivity for wetland-associated wildlife among the > 80,000 playa of the Great Plains (USA). Objectives: We investigated how patterns of land cover from 2008 to 2016 affected structural and functional connectivity among playas under biologically feasible scenarios and a range of vagilities for amphibians. Methods: We compared graph-theoretical, least-cost path (LCP), and landscape resistance models. Using land-cover and irrigation data and literature-based estimates of species-specific dispersal, we developed three alternative scenarios with resistance values that differed by land-cover type. Sensitivity analysis examined effects of altering the numeric range of values within models. Results: From a structural perspective, the playa network was highly fragmented, with coalescence distances greater than amphibian dispersal capabilities (> 15 km). The network was insensitive to assigning different resistance values to different land-cover types: 81% of LCP locations overlapped with at least one other modeled scenario, and 57% of LCPs overlapped among all three scenarios. Conclusions: Our findings partially support previous graph-based assessments of playa structural connectivity that indicated high levels of path redundancy within this ecological network. However, although there was extensive path overlap among scenarios, many modelled linkages were at distances well beyond the individual lifetime dispersal maxima for regional amphibians. Thus, functional connectivity would be achieved in this landscape only by spanning scales from daily movements to inter-generational dispersal.
AB - Context: Land-cover changes are likely affecting structural and functional connectivity for wetland-associated wildlife among the > 80,000 playa of the Great Plains (USA). Objectives: We investigated how patterns of land cover from 2008 to 2016 affected structural and functional connectivity among playas under biologically feasible scenarios and a range of vagilities for amphibians. Methods: We compared graph-theoretical, least-cost path (LCP), and landscape resistance models. Using land-cover and irrigation data and literature-based estimates of species-specific dispersal, we developed three alternative scenarios with resistance values that differed by land-cover type. Sensitivity analysis examined effects of altering the numeric range of values within models. Results: From a structural perspective, the playa network was highly fragmented, with coalescence distances greater than amphibian dispersal capabilities (> 15 km). The network was insensitive to assigning different resistance values to different land-cover types: 81% of LCP locations overlapped with at least one other modeled scenario, and 57% of LCPs overlapped among all three scenarios. Conclusions: Our findings partially support previous graph-based assessments of playa structural connectivity that indicated high levels of path redundancy within this ecological network. However, although there was extensive path overlap among scenarios, many modelled linkages were at distances well beyond the individual lifetime dispersal maxima for regional amphibians. Thus, functional connectivity would be achieved in this landscape only by spanning scales from daily movements to inter-generational dispersal.
KW - Crop types
KW - Dispersal
KW - Functional connectivity
KW - Irrigation
KW - Structural connectivity
UR - http://www.scopus.com/inward/record.url?scp=85100848077&partnerID=8YFLogxK
U2 - 10.1007/s10980-021-01199-6
DO - 10.1007/s10980-021-01199-6
M3 - Article
AN - SCOPUS:85100848077
SN - 0921-2973
VL - 36
SP - 1117
EP - 1135
JO - Landscape Ecology
JF - Landscape Ecology
IS - 4
ER -