Ecologically Differentiated Rules of Thumb for Habitat Network Design – Lessons from a Formula

The present paper addresses the following typical question of metapopulation management: “What habitat distribution is optimal for metapopulation persistence if a habitat network with a given number and configuration of patches is considered?”. By utilizing a generic metapopulation model and performing a special model analysis, rules of thumb for optimum habitat distribution and a general ‘Principle of Optimality’ are derived. The whole study is based on the application of a formula for the mean lifetime of metapopulations derived in a previous study. Finally, some general conclusions are drawn concerning the potential of using PVA techniques for deriving tools for decision support for conservation management.

[1]  L. Ruggiero,et al.  Resilience and conservation of large carnivores in the Rocky Mountains , 1996 .

[2]  Christian Wissel,et al.  Modelling Extinction and Survival of Small Populations , 1994 .

[3]  J. Faaborg,et al.  Habitat fragmentation in the temperate zone , 1999 .

[4]  Alan A. Berryman,et al.  Principles of Population Dynamics and Their Application , 2020 .

[5]  P. Turchin.  [Does population ecology have general laws?]. , 2001, Zhurnal obshchei biologii.

[6]  Christian Wissel,et al.  Modelling persistence in dynamic landscapes : lessons from a metapopulation of the grasshopper Bryodema tuberculata , 1997 .

[7]  I. Hanski.  A Practical Model of Metapopulation Dynamics , 1994 .

[8]  B. G. Murray.  Universal laws and predictive theory in ecology and evolution , 2000 .

[9]  Mats Gyllenberg,et al.  Quasi-stationary distributions of a stochastic metapopulation model , 1994 .

[10]  J. Lawton.  Are there general laws in ecology , 1999 .

[11]  Karin Frank,et al.  Spatial aspects of metapopulation survival – from model results to rules of thumb for landscape management , 1998, Landscape Ecology.

[12]  Otso Ovaskainen,et al.  The metapopulation capacity of a fragmented landscape , 2000, Nature.

[13]  R. Noss.  The Naturalists Are Dying off , 1996 .

[14]  Daniel Goodman,et al.  Viable Populations for Conservation: The demography of chance extinction , 1987 .

[15]  P. Foley,et al.  Predicting Extinction Times from Environmental Stochasticity and Carrying Capacity , 1994 .

[16]  Karin Frank,et al.  RANKING METAPOPULATION EXTINCTION RISK: FROM PATTERNS IN DATA TO CONSERVATION MANAGEMENT DECISIONS , 2003 .

[17]  J A Heesterbeek,et al.  On optimal size and number of reserves for metapopulation persistence. , 2000, Journal of theoretical biology.

[18]  Martin Drechsler.  A model-based decision aid for species protection under uncertainty , 2000 .

[19]  Mark L. Taper,et al.  Migration within Metapopulations: The Impact upon Local Population Dynamics , 1997 .

[20]  J. Diamond,et al.  Ecology and Evolution of Communities , 1976, Nature.

[21]  David B. Lindenmayer,et al.  Ranking Conservation and Timber Management Options for Leadbeater's Possum in Southeastern Australia Using Population Viability Analysis , 1996 .

[22]  M. Soulé,et al.  Viable Populations for Conservation: List of contributors , 1987 .

[23]  Martin Drechsler,et al.  Trade-offs between local and regional scale management of metapopulations , 1998 .

[24]  Johan A. J. Metz,et al.  Metapopulation models for impact assessment of fragmentation , 1993 .

[25]  S. Ferson,et al.  Quantitative Methods for Conservation Biology , 2002, Springer New York.

[26]  J A Heesterbeek,et al.  Rules of Thumb for Conservation of Metapopulations Based on a Stochastic Winking‐Patch Model , 2001, The American Naturalist.

[27]  Karin Frank,et al.  A Formula for the Mean Lifetime of Metapopulations in Heterogeneous Landscapes , 2002, The American Naturalist.