title: Spatiotemporal dynamics of prairie wetland networks: power-law scaling and implications for conservation planning.
abstract: Although habitat networks show promise for conservation planning at regional scales, their spatiotemporal dynamics have not been well studied, especially in climate-sensitive landscapes. Here I use satellite remote sensing to compile wetland habitat networks from the Prairie Pothole Region (PPR) of North America. An ensemble of networks assembled across a hydrologic gradient from deluge to drought and a range of representative dispersal distances exhibits power-law scaling of important topological parameters. Prairie wetland networks are "meso-worlds" with mean topological distance increasing faster with network size than small-world networks, but slower than a regular lattice (or "large world"). This scaling implies rapid dispersal through wetland networks without some of the risks associated with "small worlds" (e.g., extremely rapid propagation of disease or disturbance). Retrospective analysis of wetland networks establishes a climatic envelope for landscape connectivity in the PPR, where I show that a changing climate might severely impact metapopulation viability and restrict long-distance dispersal and range shifts. More generally, this study demonstrates an efficient approach to conservation planning at a level of abstraction addressing key drivers of the global biodiversity crisis: habitat fragmentation and climatic change.
authors: Geographic Information Science Center of Excellence, South Dakota State University, Brookings, South Dakota 57007-3510, USA. Christopher.Wright@sdstate.edu
authors: Christopher K
authors: CK
authors: Wright
mesh_terms: D002980:Climate; D003247:Conservation of Natural Resources / Q000379:methods*; D008954:Models, Biological; D009658:North Dakota; D013997:Time Factors; D053833:Wetlands