Incorporating asymmetric connectivity into spatial decision making for conservation

Real patterns of ecological connectivity are seldom explicitly or systematically accounted for systematic conservation planning, in part because commonly used decision support systems can only capture simplistic notions of connectivity. Conventionally, the surrogates used to represent connectivity in conservation plans have assumed the connection between two sites to be symmetric in strength. In reality, ecological linkages between sites are rarely symmetric and often strongly asymmetric. Here, we develop a novel formulation that enabled us to incorporate asymmetric connectivity into the conservation decision support system Marxan. We illustrate this approach using hypothetical examples of a river catchment and a group of reefs, and then apply it to case studies in the Snowy River catchment and Great Barrier Reef, Australia. We show that incorporating asymmetric ecological connectivity in systematic reserve design leads to solutions that more effectively capture connectivity patterns, relative to either ignoring connectivity or assuming symmetric connectivity.

[1]  Kerrie A. Wilson,et al.  Fundamental concepts of spatial conservation prioritization , 2009 .

[2]  J. Franklin,et al.  The Roles of Spatial Heterogeneity and Ecological Processes in Conservation Planning , 2005 .

[3]  Brendan A. Wintle,et al.  Climate change, connectivity and conservation decision making: back to basics , 2009 .

[4]  Christopher R. Pyke Assessing suitability for conservation action: Prioritizing interpond linkages for the California tiger salamander , 2005 .

[5]  Hugh P. Possingham,et al.  Optimal Conservation of Migratory Species , 2007, PloS one.

[6]  Alan Hastings,et al.  Population persistence in marine reserve networks: incorporating spatial heterogeneities in larval dispersal , 2010 .

[7]  H. Possingham,et al.  Spatial conservation prioritization: Quantitative methods and computational tools , 2009, Environmental Conservation.

[8]  Hugh P. Possingham,et al.  Does conservation planning matter in a dynamic and uncertain world , 2004 .

[9]  Hugh P Possingham,et al.  Does colonization asymmetry matter in metapopulations? , 2006, Proceedings of the Royal Society B: Biological Sciences.

[10]  R. Steneck,et al.  Larval retention and connectivity among populations of corals and reef fishes: history, advances and challenges , 2009, Coral Reefs.

[11]  Patrick N. Halpin,et al.  Modeling population connectivity by ocean currents, a graph-theoretic approach for marine conservation , 2007, Landscape Ecology.

[12]  Hugh P Possingham,et al.  Planning for persistence in marine reserves: a question of catastrophic importance. , 2008, Ecological applications : a publication of the Ecological Society of America.

[13]  M. Newman,et al.  Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Hugh P. Possingham,et al.  Conservation planning for connectivity across marine, freshwater, and terrestrial realms , 2010 .

[15]  Leah Gerber,et al.  The role of dispersal and demography in determining the efficacy of marine reserves , 2005 .

[16]  R. Norris,et al.  Irreplaceability of river networks: towards catchment-based conservation planning , 2008 .

[17]  R. Steneck,et al.  Critical science gaps impede use of no-take fishery reserves. , 2005, Trends in ecology & evolution.

[18]  Hugh P. Possingham,et al.  Using complex network metrics to predict the persistence of metapopulations with asymmetric connectivity patterns , 2008 .

[19]  Mark H. Carr,et al.  PROPAGULE DISPERSAL DISTANCE AND THE SIZE AND SPACING OF MARINE RESERVES , 2003 .

[20]  Paul Beier,et al.  Forks in the Road: Choices in Procedures for Designing Wildland Linkages , 2008, Conservation biology : the journal of the Society for Conservation Biology.

[21]  J. Stevens,et al.  Movements, recapture patterns, and factors affecting the return rate of carcharhinid and other sharks tagged off northern Australia , 2000 .

[22]  J. C. Day,et al.  Management under uncertainty: guide-lines for incorporating connectivity into the protection of coral reefs , 2009, Coral Reefs.

[23]  Mark D. McDonnell,et al.  Mathematical Methods for Spatially Cohesive Reserve Design , 2002 .

[24]  James A. Cox,et al.  Consequences and Costs of Conservation Corridors , 1987 .

[25]  Frithjof Lutscher,et al.  Average dispersal success: linking home range, dispersal, and metapopulation dynamics to reserve design. , 2006, Ecological applications : a publication of the Ecological Society of America.

[26]  K. Fausch,et al.  Landscapes to Riverscapes: Bridging the Gap between Research and Conservation of Stream Fishes , 2002 .

[27]  John L. Largier,et al.  AVOIDING CURRENT OVERSIGHTS IN MARINE RESERVE DESIGN , 2003 .

[28]  Emily Nicholson,et al.  Conservation prioritization using metapopulation models , 2009 .

[29]  P. Mumby Connectivity of reef fish between mangroves and coral reefs: Algorithms for the design of marine reserves at seascape scales , 2006 .

[30]  M. Newman Erratum: Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality (Physical Review e (2001) 64 (016132)) , 2006 .

[31]  G. Jones,et al.  Local Replenishment of Coral Reef Fish Populations in a Marine Reserve , 2007, Science.

[32]  Claire B Paris-Limouzy,et al.  Scaling of Connectivity in Marine Populations , 2006, Science.

[33]  Jane Elith,et al.  A method for spatial freshwater conservation prioritization , 2008 .

[34]  Jonathan D. Phillips,et al.  Nonpoint Source Pollution and Spatial Aspects of Risk Assessment , 1988 .

[35]  Anthony J. Jakeman,et al.  A framework for integrated hydrologic, sediment and nutrient export modelling for catchment-scale management , 2004, Environ. Model. Softw..

[36]  Matthew E. Watts,et al.  Marxan and relatives: Software for spatial conservation prioritization , 2009 .

[37]  Paul R. Armsworth,et al.  The structure of reef fish metapopulations: modelling larval dispersal and retention patterns , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[38]  Michael Jünger,et al.  Graph Drawing Software , 2003, Graph Drawing Software.

[39]  G. De’ath,et al.  Establishing Representative No‐Take Areas in the Great Barrier Reef: Large‐Scale Implementation of Theory on Marine Protected Areas , 2005 .

[40]  Monica G. Turner,et al.  Ecosystem Function in Heterogeneous Landscapes , 2005 .

[41]  Vladimir Batagelj,et al.  Pajek - Analysis and Visualization of Large Networks , 2004, Graph Drawing Software.