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

被引:22
作者
Heintzman, L. J. [1 ,2 ]
McIntyre, N. E. [1 ]
机构
[1] Texas Tech Univ, Dept Biol Sci, Lubbock, TX 79409 USA
[2] USDA ARS, 2995 Knox St, Las Cruces, NM 88003 USA
基金
美国国家科学基金会;
关键词
Crop types; Dispersal; Functional connectivity; Irrigation; Structural connectivity; ECOLOGICAL CONNECTIVITY; TEMPORARY WETLANDS; CIRCUIT-THEORY; CONSERVATION; MOVEMENT; HABITAT; DISPERSAL; PERMEABILITY; CROPLAND; DYNAMICS;
D O I
10.1007/s10980-021-01199-6
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页码:1117 / 1135
页数:19
相关论文
共 97 条
[1]   The application of 'least-cost' modelling as a functional landscape model [J].
Adriaensen, F ;
Chardon, JP ;
De Blust, G ;
Swinnen, E ;
Villalba, S ;
Gulinck, H ;
Matthysen, E .
LANDSCAPE AND URBAN PLANNING, 2003, 64 (04) :233-247
[2]   A network model framework for prioritizing wetland conservation in the Great Plains [J].
Albanese, Gene ;
Haukos, David A. .
LANDSCAPE ECOLOGY, 2017, 32 (01) :115-130
[3]  
AmphibiaWeb, 2020, INF AMPH BIOL CONS
[4]  
Anderson AM, 1999, WILDLIFE SOC B, V27, P759
[5]  
[Anonymous], 2013, Circuitscape 4 user guide
[6]   Uncertainty analysis of least-cost modeling for designing wildlife linkages [J].
Beier, Paul ;
Majka, Daniel R. ;
Newell, Shawn L. .
ECOLOGICAL APPLICATIONS, 2009, 19 (08) :2067-2077
[7]   To model the landscape as a network: A practitioner's perspective [J].
Bergsten, Arvid ;
Zetterberg, Andreas .
LANDSCAPE AND URBAN PLANNING, 2013, 119 :35-43
[8]   Surface water network structure, landscape resistance to movement and flooding vital for maintaining ecological connectivity across Australia's largest river basin [J].
Bishop-Taylor, Robbi ;
Tulbure, Mirela G. ;
Broich, Mark .
LANDSCAPE ECOLOGY, 2015, 30 (10) :2045-2065
[9]  
Bondy J. A., 1976, Graph theory with applications
[10]   Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program [J].
Boryan, Claire ;
Yang, Zhengwei ;
Mueller, Rick ;
Craig, Mike .
GEOCARTO INTERNATIONAL, 2011, 26 (05) :341-358