MANAGING LANDSCAPES FOR CONSERVATION UNDER UNCERTAINTY

In ecology, populations may be linked conceptually with landscapes through habitat and spatial population models. Usually, these models deal with single species and treat a range of uncertainties implicitly and explicitly. They assist managers in testing different management scenarios and making strategic decisions. Landscape pattern analysis was the first attempt to deal with multiple species, and it led to a range of landscape management strategies. Advances in landscape ecology, driven largely by the pragmatic needs of conservation, are building approaches to multispecies management that have stronger ecological foundations. However, their treatment of uncertainty is in its infancy. In this paper, we provide examples to illustrate some of these issues. We conclude that one of the most important sources of uncertainty is the choice of the modeling frame. We recommend that landscape planners use different kinds of models, identify important sources of uncertainty that may affect planning decisions, and seek options that are likely to result in tolerable outcomes, despite uncertainty.

[1]  D. Lindenmayer,et al.  On the use of landscape surrogates as ecological indicators in fragmented forests , 2002 .

[2]  P. Hogeweg.  Cellular automata as a paradigm for ecological modeling , 1988 .

[3]  Jennifer L. Dungan,et al.  A balanced view of scale in spatial statistical analysis , 2002 .

[4]  Ilkka Hanski,et al.  Estimating the consequences of habitat fragmentation on extinction risk in dynamic landscapes , 2002, Landscape Ecology.

[5]  P. Beier,et al.  Do Habitat Corridors Provide Connectivity? , 1998 .

[6]  S. Andelman,et al.  Umbrellas and flagships: efficient conservation surrogates or expensive mistakes? , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[7]  O. Gaggiotti,et al.  Metapopulation biology: past, present, and future , 2004 .

[8]  Ilkka Hanski.  Patch-occupancy dynamics in fragmented landscapes. , 1994, Trends in ecology & evolution.

[9]  R. Macarthur,et al.  The Theory of Island Biogeography , 1969 .

[10]  C. Braak.  Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis , 1986 .

[11]  Diane M. Thomson,et al.  Approaches to Modeling Population Viability in Plants: An Overview , 2003 .

[12]  Atte Moilanen,et al.  SPOMSIM: software for stochastic patch occupancy models of metapopulation dynamics , 2004 .

[13]  Hugh P. Possingham,et al.  ALEX : A Model For The Viability Analysis Of Spatially Structured Populations , 1995 .

[14]  B. V. Horne,et al.  DENSITY AS A MISLEADING INDICATOR OF HABITAT QUALITY , 1983 .

[15]  M. Gilpin,et al.  Metapopulation dynamics: a brief his-tory and conceptual domain , 1991 .

[16]  Barry J. Fox,et al.  Factors determining mammal species richness on habitat islands and isolates: habitat diversity, disturbance, species interactions and guild assembly rules , 2000 .

[17]  David B. Lindenmayer,et al.  Decision theory for population viability analysis , 2002 .

[18]  A. Lehmann,et al.  Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns , 2002 .

[19]  Ray Hilborn,et al.  The Influence of Model Structure on Conclusions about the Viability and Harvesting of Serengeti Wildebeest , 1997 .

[20]  Otso Ovaskainen,et al.  Metapopulation dynamics in highly fragmented landscapes , 2004 .

[21]  Donald L. DeAngelis,et al.  UNCERTAINTY IN SPATIALLY EXPLICIT ANIMAL DISPERSAL MODELS , 2003 .

[22]  A. Bennett.  Linkages in the Landscape: The Role Of Corridors And Connectivity In Wildlife Conservation , 1999 .

[23]  M. Burgman,et al.  Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning , 2003 .

[24]  B. Manly,et al.  Resource selection by animals: statistical design and analysis for field studies. , 1994 .

[25]  Gretchen G. Moisen,et al.  Comparing five modelling techniques for predicting forest characteristics , 2002 .

[26]  R. Lande,et al.  A Population Viability Analysis for African Elephant (Loxodonta africana): How Big Should Reserves Be? , 1993 .

[27]  H. Possingham,et al.  Applying a Decision‐Theory Framework to Landscape Planning for Biodiversity: Follow‐Up to Watson et al. , 2003 .

[28]  Jorgen B. Thomsen,et al.  Biodiversity Hotspots and Major Tropical Wilderness Areas: Approaches to Setting Conservation Priorities , 1998 .

[29]  H. P. Possingham,et al.  Modelling the inter-relationships between habitat patchiness, dispersal capability and metapopulation persistence of the endangered species, Leadbeater's possum, in south-eastern Australia , 1996, Landscape Ecology.

[30]  M. Weitzman.  The Noah's Ark Problem , 1998 .

[31]  Hugh P. Possingham,et al.  Limits to the use of threatened species lists , 2002 .

[32]  M. Burgman.  Risks and Decisions for Conservation and Environmental Management: Experts, stakeholders and elicitation , 2005 .

[33]  R. Tibshirani,et al.  Generalized Additive Models , 1991 .

[34]  Helen M. Regan,et al.  Mapping epistemic uncertainties and vague concepts in predictions of species distribution , 2002 .

[35]  Otso Ovaskainen,et al.  4 – Metapopulation Dynamics in Highly Fragmented Landscapes , 2004 .

[36]  David R. B. Stockwell,et al.  The GARP modelling system: problems and solutions to automated spatial prediction , 1999, Int. J. Geogr. Inf. Sci..

[37]  M. Austin.  A silent clash of paradigms : some inconsistencies in community ecology , 1999 .

[38]  Lenore Fahrig,et al.  Landscape heterogeneity and metapopulation dynamics , 2007 .

[39]  H. Possingham,et al.  Decision Theory and Biodiversity Management: How to manage a metapopulation , 1996 .

[40]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[41]  David B. Lindenmayer,et al.  Sound science or social hook—a response to Brooker’s application of the focal species approach , 2003 .

[42]  Barry R. Noon,et al.  Biological Corridors: Form, Function, and Efficacy , 1997 .

[43]  V. Grimm.  Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future? , 1999 .

[44]  P. Attiwill.  The disturbance of forest ecosystems: the ecological basis for conservative management , 1994 .

[45]  Hugh P. Possingham,et al.  OPTIMAL FIRE MANAGEMENT FOR MAINTAINING COMMUNITY DIVERSITY , 1999 .

[46]  K. McGarigal,et al.  The gradient concept of landscape structure [Chapter 12] , 2005 .

[47]  Daniel P Faith,et al.  Environmental diversity (ED) as surrogate information for species‐level biodiversity , 2003 .

[48]  W. Thuiller.  BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change , 2003 .

[49]  Mark V. Lomolino,et al.  Species Diversity in Space and Time. , 1996 .

[50]  Jianguo Wu.  Effects of changing scale on landscape pattern analysis: scaling relations , 2004, Landscape Ecology.

[51]  Michael Drielsma,et al.  Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling , 2002, Biodiversity & Conservation.

[52]  James H. Brown,et al.  Turnover Rates in Insular Biogeography: Effect of Immigration on Extinction , 1977 .

[53]  L. Fahrig.  Effects of Habitat Fragmentation on Biodiversity , 2003 .

[54]  Arthur S. Lieberman,et al.  Landscape Ecology , 1994, Springer New York.

[55]  Atte Moilanen,et al.  Single‐species dynamic site selection , 2002 .

[56]  R. J. Hobbs,et al.  Landscape heterogeneity indices: problems of scale and applicability, with particular reference to animal habitat description , 1994 .

[57]  D. Ruppert.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .

[58]  Nick M. Haddad,et al.  AN EXPERIMENTAL TEST OF CORRIDOR EFFECTS ON BUTTERFLY DENSITIES , 1999 .

[59]  P. F. Fisher,et al.  Landscape metrics with ecotones: pattern under uncertainty , 2004, Landscape Ecology.

[60]  John R. Leathwick,et al.  An Environmental Domain Classification of New Zealand and Its Use as a Tool for Biodiversity Management , 2003 .

[61]  Mark A. Burgman,et al.  Characterisation and delineation of the eucalypt old-growth forest estate in Australia: a review , 1996 .

[62]  R. Hobbs.  The role of corridors in conservation: Solution or bandwagon? , 1992, Trends in ecology & evolution.

[63]  D. DeAngelis,et al.  Individual-Based Models and Approaches in Ecology , 1992 .

[64]  Daniel P. Faith,et al.  Complementarity, biodiversity viability analysis, and policy-based algorithms for conservation , 2003 .

[65]  Brean W. Duncan,et al.  SETTING RELIABILITY BOUNDS ON HABITAT SUITABILITY INDICES , 2001 .

[66]  M. L. Hunter.  Natural fire regimes as spatial models for managing boreal forests , 1993 .

[67]  David B. Lindenmayer,et al.  Continua and Umwelt: novel perspectives on viewing landscapes , 2004 .

[68]  Dennis D. Murphy,et al.  A NEW METHOD FOR SELECTION OF UMBRELLA SPECIES FOR CONSERVATION PLANNING , 2000 .

[69]  Robert L. Pressey,et al.  Ad Hoc Reservations: Forward or Backward Steps in Developing Representative Reserve Systems? , 1994 .

[70]  Richard J. Gaylord,et al.  Modeling Nature: Cellular Automata Simulations with Mathematica® , 1996 .

[71]  Amy W. Ando,et al.  On the Use of Demographic Models of Population Viability in Endangered Species Management , 1998 .

[72]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[73]  A. Hirzel,et al.  Assessing habitat-suitability models with a virtual species , 2001 .

[74]  G. Carpenter,et al.  DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals , 1993, Biodiversity & Conservation.

[75]  Peter Odderskær,et al.  ALMaSS, an agent-based model for animals in temperate European landscapes , 2003 .

[76]  Atte Moilanen,et al.  On the use of connectivity measures in spatial ecology , 2001 .

[77]  Fred W. Koontz,et al.  A Geographic Information System Method for Estimating Home Range Size , 1999 .

[78]  P. McCullagh,et al.  Generalized Linear Models , 1984 .

[79]  R L Pressey,et al.  Integrating biosystematic data into conservation planning: perspectives from southern Africa's Succulent Karoo. , 2002, Systematic biology.

[80]  H. Akçakaya,et al.  Linking population-level risk assessment with landscape and habitat models. , 2001, The Science of the total environment.

[81]  R. Forman.  Land Mosaics: The Ecology of Landscapes and Regions , 1995 .

[82]  S. Ferrier.  Mapping spatial pattern in biodiversity for regional conservation planning: where to from here? , 2002, Systematic biology.

[83]  Atte Moilanen,et al.  SIMPLE CONNECTIVITY MEASURES IN SPATIAL ECOLOGY , 2002 .

[84]  J. Leathwick,et al.  COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD‐GROWTH INDIGENOUS FORESTS , 2001 .

[85]  Lesley F. Wright,et al.  Information Gap Decision Theory: Decisions under Severe Uncertainty , 2004 .

[86]  R. Lambeck,et al.  Focal Species: a Multi-species Umbrella for Nature Conservation Focal Species for Nature Conservation Lambeck , 2022 .

[87]  Daniel Simberloff,et al.  The Contribution of Population and Community Biology to Conservation Science , 1988 .

[88]  J. Reynolds,et al.  A Simulation Experiment to Quantify Spatial Heterogeneity in Categorical Maps , 1994 .

[89]  L. Brooker,et al.  Dispersal and population dynamics of the blue-breasted fairy-wren, Malurus pulcherrimus, in fragmented habitat in the Western Australian wheatbelt , 2002 .

[90]  David B. Lindenmayer,et al.  Treating the nestedness temperature calculator as a “black box” can lead to false conclusions , 2002 .

[91]  L. Scott Mills,et al.  A Useful Role for Theory in Conservation , 1994 .

[92]  Volker Grimm,et al.  Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and application , 2003 .

[93]  Simon A. Levin,et al.  Niche, Habitat, and Ecotope , 1973, The American Naturalist.

[94]  Eric R. Ziegel,et al.  Generalized Linear Models:Generalized Linear Models , 2002 .

[95]  Brendan A. Wintle,et al.  The Use of Bayesian Model Averaging to Better Represent Uncertainty in Ecological Models , 2003 .

[96]  B. Taylor,et al.  The Reliability of Using Population Viability Analysis for Risk Classification of Species , 1995 .

[97]  Geoffrey Edwards,et al.  A Cognitive View of Spatial Uncertainty , 2001 .

[98]  Yrjö Haila,et al.  A CONCEPTUAL GENEALOGY OF FRAGMENTATION RESEARCH: FROM ISLAND BIOGEOGRAPHY TO LANDSCAPE ECOLOGY* , 2002 .

[99]  John A. Wiens,et al.  Landscape mosaics and ecological theory , 1995 .

[100]  M. Austin.  Spatial prediction of species distribution: an interface between ecological theory and statistical modelling , 2002 .

[101]  J. Elith.  Quantitative Methods for Modeling Species Habitat: Comparative Performance and an Application to Australian Plants , 2000 .

[102]  Jane Elith,et al.  Habitat Models for Population Viability Analysis , 2003 .

[103]  Steven R. Beissinger,et al.  Emerging Issues in Population Viability Analysis , 2002, Conservation biology : the journal of the Society for Conservation Biology.

[104]  Emilio M. Bruna,et al.  Habitat fragmentation and large‐scale conservation: what do we know for sure? , 1999 .

[105]  Bruce T. Milne,et al.  Indices of landscape pattern , 1988, Landscape Ecology.

[106]  David B. Lindenmayer,et al.  Appreciating Ecological Complexity: Habitat Contours as a Conceptual Landscape Model , 2004 .

[107]  H. Resit Akçakaya,et al.  The use of extinction models for species conservation , 1988 .

[108]  Robert L. Pressey,et al.  Reserve Selection Algorithms and the Real World , 2001 .

[109]  Colin J. Yates,et al.  Impacts of ecosystem fragmentation on plant populations: generalising the idiosyncratic , 2003 .

[110]  Gerard B. M. Heuvelink,et al.  Error Propagation in Environmental Modelling with GIS , 1998 .

[111]  R. Pielke.  The Role of Models in Prediction for Decision , 2021 .

[112]  Richard J. Hobbs,et al.  A Framework for Conceptualizing Human Effects on Landscapes and Its Relevance to Management and Research Models , 1999 .

[113]  Francis Gilbert,et al.  The equilibrium theory of island biogeography : fact or fiction? , 1980 .

[114]  D. Ludwig.  Is it meaningful to estimate a probability of extinction , 1999 .