Raising the bar for systematic conservation planning.

Systematic conservation planning (SCP) represents a significant step toward cost-effective, transparent allocation of resources for biodiversity conservation. However, research demonstrates important consequences of uncertainties in SCP and of basing methods on simplified circumstances involving few real-world complexities. Current research often relies on single case studies with unknown forms and amounts of uncertainty as well as low statistical power for generalizing results. Consequently, conservation managers have little evidence for the true performance of conservation planning methods in their own complex, uncertain applications. To build effective and reliable methods in SCP, there is a need for more challenging and integrated testing of their robustness to uncertainty and complexity, and much greater emphasis on generalization to real-world situations.

[1]  Steven R. Beissinger,et al.  Why Economics Matters for Endangered Species Protection , 1999 .

[2]  L. Belbin,et al.  Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory , 2006 .

[3]  Vanessa M. Adams,et al.  Opportunity costs: Who really pays for conservation? , 2010 .

[4]  Hugh P Possingham,et al.  Setting Conservation Priorities , 2009, Annals of the New York Academy of Sciences.

[5]  Lucy Bastin,et al.  When do conservation planning methods deliver? Quantifying the consequences of uncertainty , 2009, Ecol. Informatics.

[6]  Richard M. Cowling,et al.  A conservation plan for a global biodiversity hotspot— the Cape Floristic Region, South Africa , 2003 .

[7]  K. Aubry,et al.  Using Anecdotal Occurrence Data for Rare or Elusive Species: The Illusion of Reality and a Call for Evidentiary Standards , 2008 .

[8]  Hugh P. Possingham,et al.  Effects of data characteristics on the results of reserve selection algorithms , 1999 .

[9]  Richard M Cowling,et al.  Designing Systematic Conservation Assessments that Promote Effective Implementation: Best Practice from South Africa , 2006, Conservation biology : the journal of the Society for Conservation Biology.

[10]  Walter Jetz,et al.  Species richness, hotspots, and the scale dependence of range maps in ecology and conservation , 2007, Proceedings of the National Academy of Sciences.

[11]  Hugh P Possingham,et al.  The Cost of Conservation , 2008, Science.

[12]  Holger R. Maier,et al.  Future research challenges for incorporation of uncertainty in environmental and ecological decision-making , 2008 .

[13]  Jamie B. Kirkpatrick,et al.  An iterative method for establishing priorities for the selection of nature reserves: An example from Tasmania , 1983 .

[14]  Atte Moilanen,et al.  Two paths to a suboptimal solution – once more about optimality in reserve selection , 2008 .

[15]  Atte Moilanen,et al.  Accounting for habitat loss rates in sequential reserve selection : Simple methods for large problems , 2007 .

[16]  Andrew R. Solow,et al.  Choosing reserve networks with incomplete species information , 2000 .

[17]  S. Polasky,et al.  Dynamic reserve site selection , 2004 .

[18]  M. Kynn.  The ‘heuristics and biases’ bias in expert elicitation , 2007 .

[19]  Hugh P Possingham,et al.  Making conservation decisions under uncertainty for the persistence of multiple species. , 2007, Ecological applications : a publication of the Ecological Society of America.

[20]  Helen M. Regan,et al.  A TAXONOMY AND TREATMENT OF UNCERTAINTY FOR ECOLOGY AND CONSERVATION BIOLOGY , 2002 .

[21]  Kent H. Redford,et al.  Do we need to develop a more relevant conservation literature? , 2010, Oryx.

[22]  B. Fischhoff,et al.  Assessing uncertainty in physical constants , 1986 .

[23]  Helen M. Regan,et al.  ROBUST DECISION‐MAKING UNDER SEVERE UNCERTAINTY FOR CONSERVATION MANAGEMENT , 2005 .

[24]  Jane Elith,et al.  Uncertainty Analysis for Regional‐Scale Reserve Selection , 2006, Conservation biology : the journal of the Society for Conservation Biology.

[25]  Shawn J Leroux,et al.  Accounting for system dynamics in reserve design. , 2007, Ecological applications : a publication of the Ecological Society of America.

[26]  J. Lawton,et al.  The Gaps between Theory and Practice in Selecting Nature Reserves , 1999 .

[27]  Douglas W. Yu,et al.  Usefulness of species range polygons for predicting local primate occurrences in southeastern Peru , 2011, American journal of primatology.

[28]  Walter Jetz,et al.  Ecological Correlates and Conservation Implications of Overestimating Species Geographic Ranges , 2008, Conservation biology : the journal of the Society for Conservation Biology.

[29]  Richard L. Church,et al.  Reserve selection as a maximal covering location problem , 1996 .

[30]  Suzana Dragicevic,et al.  Implications of error and uncertainty for an environmental planning scenario: A sensitivity analysis of GIS-based variables in a reserve design exercise , 2007 .

[31]  Will R Turner,et al.  Adaptive Decision Rules for the Acquisition of Nature Reserves , 2006, Conservation biology : the journal of the Society for Conservation Biology.

[32]  Steven J. Phillips,et al.  Aligning Conservation Priorities Across Taxa in Madagascar with High-Resolution Planning Tools , 2008, Science.

[33]  T. Iwamura,et al.  Global-scale mapping of economic benefits from agricultural lands: Implications for conservation priorities , 2007 .

[34]  B. Coetzee,et al.  Conservation with Caveats , 2008, Science.

[35]  Amy W. Ando,et al.  Species distributions, land values, and efficient conservation , 1998, Science.

[36]  M. Drechsler.  Probabilistic approaches to scheduling reserve selection , 2005 .

[37]  F. Sulzman,et al.  Circadian rhythms in body temperature of the pigtailed macaque (Macaca nemestrina) exposed to different ambient temperatures , 1985, American journal of primatology.

[38]  S. Polasky,et al.  Integrating economic costs into conservation planning. , 2006, Trends in ecology & evolution.

[39]  Paul H. Williams,et al.  Biodiversity conservation planning tools , 2006 .

[40]  J. Hoffman,et al.  Use of simulated data from a process-based habitat model to evaluate methods for predicting species occurrence , 2010 .

[41]  Charles S. ReVelle,et al.  Spatial attributes and reserve design models: A review , 2005 .

[42]  S. Polasky,et al.  CONSERVING SPECIES IN A WORKING LANDSCAPE: LAND USE WITH BIOLOGICAL AND ECONOMIC OBJECTIVES , 2005 .

[43]  Chris Field,et al.  A stochastic approach to marine reserve design: Incorporating data uncertainty , 2008, Ecol. Informatics.

[44]  Lev R Ginzburg,et al.  Rules of thumb for judging ecological theories. , 2004, Trends in ecology & evolution.

[45]  Michael Bode,et al.  Habitat vulnerability in conservation planning—when it matters and how much , 2010 .

[46]  R L Pressey,et al.  Beyond opportunism: Key principles for systematic reserve selection. , 1993, Trends in ecology & evolution.

[47]  Fiona Fidler,et al.  Reducing Overconfidence in the Interval Judgments of Experts , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[48]  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 .

[49]  Douglas J. King,et al.  Heuristic algorithms vs. linear programs for designing efficient conservation reserve networks: Evaluation of solution optimality and processing time , 2007 .

[50]  Alison Cameron,et al.  Methodological considerations in reserve system selection: A case study of Malagasy lemurs , 2010 .

[51]  Wolf M. Mooij,et al.  The power of simulating experiments , 2009 .

[52]  A. Solow,et al.  The value of information in reserve site selection , 2001, Biodiversity & Conservation.

[53]  Aldina M. A. Franco,et al.  Prioritizing multiple-use landscapes for conservation: methods for large multi-species planning problems , 2005, Proceedings of the Royal Society B: Biological Sciences.

[54]  S. Sarkar,et al.  Systematic conservation planning , 2000, Nature.

[55]  Damaris Zurell,et al.  The virtual ecologist approach: simulating data and observers , 2010 .