An integrated method to create habitat suitability models for fragmented landscapes

Abstract Given the pervasive influence of human induced habitat fragmentation in ecological processes, landscape models are a welcome advance. The development of GIS software has allowed a greater use of these models and of analyses of the relationship between species and habitat variables. Habitat suitability models are thus theoretical concepts that can be used for planning in fragmented landscapes and habitat conservation. The most commonly used models are based on single species and on the assignment of suitability values for some environmental variables. Generally the cartographic basis for modeling suitability are thematic maps produced by a Boolean logic. In this paper we propose a model based on a set of focal species and on maps produced by a fuzzy classification method. Focal species, selected by an expert-based approach, provide a practical way of extending the scope of habitat suitability models to the conservation of biodiversity at landscape scale. The utilisation of a classification method that applies a continuity criterion may allow more consideration of the connectivity of an area because it allows a better detection of ecological gradients within a landscape. We applied this methodology to the Tuscany region focusing on terrestrial mammals. Performing a fuzzy classification we produced five land cover maps and through image processing operations we obtained a suitability model which applies a continuity criterion. The resulting suitability fuzzy model seems better for the study of connectivity and fragmentation, especially in areas with high spatial complexity.

[1]  L. Fahrig,et al.  Conservation of fragmented populations , 1994 .

[2]  Shelley A. Hinsley,et al.  The costs of multiple patch use by birds , 2000, Landscape Ecology.

[3]  Dennis D. Murphy,et al.  Conservation Strategy: The Effects of Fragmentation on Extinction , 1985, The American Naturalist.

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

[5]  Shelley A. Hinsley,et al.  Factors influencing bird species numbers in small woods in south-east England , 1996 .

[6]  L. Stirn Integrating the fuzzy analytic hierarchy process with dynamic programming approach for determining the optimal forest management decisions , 2006 .

[7]  H. Andrén,et al.  Effects of habitat fragmentation on birds and mammals in landscapes with different proportions of suitable habitat: a review , 1994 .

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

[9]  R. Didham,et al.  Confounding factors in the detection of species responses to habitat fragmentation , 2005, Biological reviews of the Cambridge Philosophical Society.

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

[11]  P. Bright Habitat fragmentation‐problems and predictions for British mammals , 1993 .

[12]  Murray Turoff,et al.  The Delphi Method: Techniques and Applications , 1976 .

[13]  Caroline Pollock,et al.  2000 IUCN red list of threatened species , 2000 .

[14]  Gordon H. Orians,et al.  Conservation biology : research priorities for the next decade , 2002 .

[15]  Sharon K. Collinge,et al.  Ecological consequences of habitat fragmentation: implications for landscape architecture and planning , 1996 .

[16]  R. Didham,et al.  The Effect of Fragment Shape and Species' Sensitivity to Habitat Edges on Animal Population Size , 2007, Conservation biology : the journal of the Society for Conservation Biology.

[17]  Duccio Rocchini,et al.  Quantifying plant species diversity in a Natura 2000 network: Old ideas and new proposals , 2008 .

[18]  Alan H. Strahler,et al.  The Use of Prior Probabilities in Maximum Likelihood Classification , 1980 .

[19]  Peter F. Fisher,et al.  Comparing the consistency of expert land cover knowledge , 2005 .

[20]  J. W. Thomas,et al.  Ecological Uses of Vertebrate Indicator Species: A Critique , 1988 .

[21]  Kevin R. Crooks,et al.  Connectivity Conservation: Connectivity conservation: maintaining connections for nature , 2006 .

[22]  John A. Richards,et al.  Remote Sensing Digital Image Analysis , 1986 .

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

[24]  D. Rocchini,et al.  Quantifying species richness at multiple spatial scales in a Natura 2000 network , 2008 .

[25]  Shusaku Tsumoto,et al.  Contingency matrix theory: Statistical dependence in a contingency table , 2009, Inf. Sci..

[26]  C. Margules,et al.  Predictors of Species Sensitivity to Fragmentation , 2004, Biodiversity & Conservation.

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

[28]  Jochen A. G. Jaeger Landscape division, splitting index, and effective mesh size: new measures of landscape fragmentation , 2000, Landscape Ecology.

[29]  Chris Margules,et al.  Habitat fragmentation: consequences, management and future research priorities , 2001 .

[30]  D. Kuonen,et al.  A wolf habitat suitability prediction study in Valais (Switzerland) , 2001 .

[31]  T. Svoray,et al.  How is Shrub Cover Related to Soil Moisture and Patch Geometry in the Fragmented Landscape of the Northern Negev desert? , 2007, Landscape Ecology.

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

[33]  Robert A. Davis,et al.  Habitat Fragmentation and Landscape Change: An Ecological and Conservation Synthesis , 2006 .

[34]  C. Battisti Habitat fragmentation, fauna and ecological network planning: Toward a theoretical conceptual framework , 2003 .

[35]  George R. Hess,et al.  Planning open spaces for wildlife: I. Selecting focal species using a Delphi survey approach , 2002 .

[36]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[37]  Duccio Rocchini,et al.  Are landscapes as crisp as we may think , 2007 .

[38]  Michael J. Samways,et al.  Application of fragmentation and variegation models to epigaeic invertebrates in South Africa , 1996 .

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

[40]  Michael A. Larson,et al.  Landscape-level habitat suitability models for twelve species in southern Missouri , 2003 .

[41]  M. Bossard,et al.  CORINE land cover technical guide - Addendum 2000 , 2000 .

[42]  M. Monaco,et al.  Habitat Suitability Index Models for Eight Fish and Invertebrate Species in Casco and Sheepscot Bays, Maine , 2000 .

[43]  L. Zadeh Fuzzy sets as a basis for a theory of possibility , 1999 .

[44]  D. Massimino,et al.  A Multiscale Method for Selecting Indicator Species and Priority Conservation Areas: a Case Study for Broadleaved Forests in Lombardy, Italy , 2006, Conservation biology : the journal of the Society for Conservation Biology.

[45]  L. Joseph,et al.  Bayesian Statistics: An Introduction , 1989 .

[46]  Gerard B. M. Heuvelink,et al.  Error Propagation in Cartographic Modelling Using Boolean Logic and Continuous Classification , 1993, Int. J. Geogr. Inf. Sci..

[47]  C. Woodcock,et al.  Theory and methods for accuracy assessment of thematic maps using fuzzy sets , 1994 .

[48]  Christopher Small,et al.  The Landsat ETM+ spectral mixing space , 2004 .

[49]  Luis Cayuela,et al.  Classification of a complex landscape using Dempster–Shafer theory of evidence , 2006 .

[50]  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.

[51]  L. Maiorano,et al.  Ecological Networks as Conceptual Frameworks or Operational Tools in Conservation , 2007, Conservation biology : the journal of the Society for Conservation Biology.

[52]  Lenore Fahrig,et al.  Relative Effects of Habitat Loss and Fragmentation on Population Extinction , 1997 .

[53]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[54]  Giles M. Foody,et al.  Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data , 1996 .