Persistence of spatial populations depends on returning home.

There is a need for better description and heuristic understanding of the sustainability of populations connected over space by a dispersing stage, both for management purposes and to increase our basic knowledge of the dynamics of these populations. We show that persistence of such a population of connected subpopulations depends on whether the sum of the reproductive gains through all possible closed, between-patch reproductive paths through multiple generations, relative to the shortfall in self-persistence in each path, exceeds unity plus extra terms, which only appear if there are four or more patches. These extra terms have the heuristic explanation that they avoid double counting of reproductive paths that arise with four or more patches because there can be nonoverlapping subnetworks. Thus only those patterns of reproduction and connectivity which eventually lead to descendants returning to the patch from which they originate contribute to persistence. This result provides the basis for evaluating connectivity and habitat heterogeneity to understand reserve design, the effects of human fragmentation, the collapse of marine fisheries, and other conservation issues.

[1]  R M Nisbet,et al.  Habitat structure and population persistence in an experimental community , 2001, Nature.

[2]  Z. Fric,et al.  Dispersal patterns of endemic alpine butterflies with contrasting population structures: Erebia epiphron and E. sudetica , 2003, Population Ecology.

[3]  D. Earn,et al.  Coherence and conservation. , 2000, Science.

[4]  Alan Hastings,et al.  The effects of dispersal patterns on marine reserves: does the tail wag the dog? , 2002, Theoretical population biology.

[5]  Paul R. Armsworth,et al.  RECRUITMENT LIMITATION, POPULATION REGULATION, AND LARVAL CONNECTIVITY IN REEF FISH METAPOPULATIONS , 2002 .

[6]  David L. Smith,et al.  Persistent colonization and the spread of antibiotic resistance in nosocomial pathogens: resistance is a regional problem. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Athanasios S. Kallimanis,et al.  Metapopulation Extinction Risk under Spatially Autocorrelated Disturbance , 2005 .

[8]  H. Pulliam,et al.  Sources, Sinks, and Population Regulation , 1988, The American Naturalist.

[9]  C. Roberts,et al.  Connectivity and management of caribbean coral reefs , 1997, Science.

[10]  S. Petit,et al.  Population spatial structure and migration of three butterfly species within the same habitat network: consequences for conservation. , 2000 .

[11]  C. Gilligan,et al.  Invasion and persistence of plant parasites in a spatially structured host population , 2001 .

[12]  Alan Hastings,et al.  Spatial mechanisms for coexistence of species sharing a common natural enemy. , 2003, Theoretical population biology.

[13]  Octavio Aburto-Oropeza,et al.  A General Model for Designing Networks of Marine Reserves , 2002, Science.

[14]  J. Wroblewski,et al.  Metapopulation theory and northern cod population structure: interdependency of subpopulations in recovery of a groundfish population , 2002 .

[15]  E. Lewis Applications of Discrete and Continuous Network Theory to Linear Population Models , 1976 .

[16]  J. R. Stephenson,et al.  VIABILITY OF BELL'S SAGE SPARROW (AMPHISPIZA BELLI SSP. BELLI): ALTERED FIRE REGIMES , 2005 .

[17]  S. Pacala,et al.  POPULATION REGULATION: HISTORICAL CONTEXT AND CONTEMPORARY CHALLENGES OF OPEN VS. CLOSED SYSTEMS , 2002 .

[18]  C. Thomas,et al.  The spatial structure of populations , 1999 .

[19]  Heather M. Leslie,et al.  Applying ecological criteria to marine reserve design: A case study from the california channel islands , 2003 .

[20]  Hugh P. Possingham,et al.  Marine protected areas for spatially structured exploited stocks , 2000 .

[21]  Cynthia M. Jones,et al.  Natal homing in a marine fish metapopulation. , 2001, Science.

[22]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[23]  P. Sale,et al.  Determining the extent and spatial scale of population connectivity: decapods and coral reef fishes compared , 2003 .

[24]  John Shepherd,et al.  An Alternative Perspective on Recruitment Overfishing and Biological Reference Points , 1987 .

[25]  Zhilan Feng,et al.  Merging Spatial and Temporal Structure within a Metapopulation Model , 2005, The American Naturalist.

[26]  Marc Mangel,et al.  No‐take Reserve Networks: Sustaining Fishery Populations and Marine Ecosystems , 1999 .

[27]  Hong S. He,et al.  Integrating Landscape and Metapopulation Modeling Approaches: Viability of the Sharp‐Tailed Grouse in a Dynamic Landscape , 2004 .

[28]  D. Eggleston,et al.  Marine reserves for Caribbean spiny lobster: empirical evaluation and theoretical metapopulation recruitment dynamics , 2001 .

[29]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[30]  S. Elaydi An introduction to difference equations , 1995 .

[31]  Botsford,et al.  Dependence of sustainability on the configuration of marine reserves and larval dispersal distance , 2001 .

[32]  Mark P. Johnson Metapopulation dynamics of Tigriopus brevicornis (Harpacticoida) in intertidal rock pools , 2001 .

[33]  N. Polunin,et al.  Marine reserves: simple solutions to managing complex fisheries? , 1993 .

[34]  James T. Cronin,et al.  MOVEMENT AND SPATIAL POPULATION STRUCTURE OF A PRAIRIE PLANTHOPPER , 2003 .

[35]  J. Hutchings Collapse and recovery of marine fishes , 2000, Nature.

[36]  Philip D. Taylor,et al.  Changing importance of habitat structure across multiple spatial scales for three species of insects , 2003 .

[37]  C. Dahlgren,et al.  Designing a Dry Tortugas Ecological Reserve: how big is big enough? …To do what? , 2000 .

[38]  H. Caswell Matrix population models : construction, analysis, and interpretation , 2001 .

[39]  S. Levin The problem of pattern and scale in ecology , 1992 .