Delineating generalized species boundaries from species distribution data and a species distribution model

Species distribution models (SDM) are commonly used to provide information about species ranges or extents, and often are intended to represent the entire area of potential occupancy or suitable habitat in which individuals occur. While SDMs can provide results over various geographic extents, they normally operate within a grid and cannot delimit distinct, smooth boundaries. Additionally, there are instances where a zone of primary occupancy (i.e., a mostly continuous region where species exists, excluding outliers) is better suited for particular analyses, such as when examining source/sink population dynamics or modeling movement into new habitats. We present a semi-automated method to delineate a generalized species boundary (GSB) from SDM output, which provides a practical alternative to digitizing. This preliminary boundary is then manually updated based on inventory data and historical ranges. We used the method to generate contemporary boundaries for 132 tree species of the eastern United States, which are complementary to the ranges generated by Elbert Little for North America during the 1970s, but are not replacements. The methods we present can broadly be applied to other grid-based SDM to generate GSBs.

[1]  A. Prasad,et al.  Estimating potential habitat for 134 eastern US tree species under six climate scenarios , 2008 .

[2]  Kevin J. Gaston,et al.  How Large Is a Species' Geographic Range? , 1991 .

[3]  W. Reese,et al.  Atlas of United States Trees. Volume 1. Conifers and Important Hardwoods , 1972 .

[4]  M. Hutchinson,et al.  Potential Impacts of Climate Change on the Distribution of North American Trees , 2007 .

[5]  R. Macarthur.  Mathematical Ecology and Its Place among the Sciences. (Book Reviews: Geographical Ecology. Patterns in the Distribution of Species) , 1974 .

[6]  Alejandro Ordonez,et al.  Climatic and biotic velocities for woody taxa distributions over the last 16 000 years in eastern North America. , 2013, Ecology letters.

[7]  K. Gaston.  Geographic range limits: achieving synthesis , 2009, Proceedings of the Royal Society B: Biological Sciences.

[8]  Áskell Löve,et al.  Atlas florae Europaeae , 1977 .

[9]  E. L. Little.  Atlas of United States trees. , 1971 .

[10]  M. Kirkpatrick,et al.  Evolution of a Species' Range , 1997, The American Naturalist.

[11]  Dawn M. Kaufman,et al.  THE GEOGRAPHIC RANGE: Size, Shape, Boundaries, and Internal Structure , 1996 .

[12]  M. Fortin,et al.  Delineation of Ecological Boundaries: Comparison of Approaches and Significance Tests , 1995 .

[13]  B. Mathew,et al.  Atlas Florae Europaeae. Distribution of Vascular Plants in Europe. 9 Paeoniaceae to Capparaceae , 1973 .

[14]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[15]  W. B. Smith,et al.  An overview of inventory and monitoring and the Role of FIA in National Assessments , 2006 .

[16]  Catherine H. Graham,et al.  A comparison of methods for mapping species ranges and species richness , 2006 .

[17]  Y. Leung.  On the Imprecision of Boundaries , 2010 .

[18]  Andrew O. Finley,et al.  An indicator of tree migration in forests of the eastern United States , 2009 .

[19]  Carol L. Alerich,et al.  The forest inventory and analysis database description and users manual version 1.0 , 2001 .

[20]  A. Prasad,et al.  PREDICTING ABUNDANCE OF 80 TREE SPECIES FOLLOWING CLIMATE CHANGE IN THE EASTERN UNITED STATES , 1998 .

[21]  Wolfgang Cramer,et al.  The effects of fragmentation and disturbance of rainforest on ground‐dwelling small mammals on the Robertson Plateau, New South Wales, Australia , 1996, Journal of Biogeography.

[22]  P. Burrough,et al.  Geographic Objects with Indeterminate Boundaries , 1996 .

[23]  A. Prasad,et al.  Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction , 2006, Ecosystems.

[24]  Patrick J. Pellicane,et al.  Monitoring Science and Technology Symposium: Unifying Knowledge for Sustainability in the Western Hemisphere , 2006 .

[25]  J. Lobo,et al.  Threshold criteria for conversion of probability of species presence to either–or presence–absence , 2007 .

[26]  N. Crookston,et al.  Empirical Analyses of Plant‐Climate Relationships for the Western United States , 2006, International Journal of Plant Sciences.

[27]  D. Purves.  The demography of range boundaries versus range cores in eastern US tree species , 2009, Proceedings of the Royal Society B: Biological Sciences.

[28]  P. Harrison,et al.  Modelling climate change impacts on species’ distributions at the European scale: implications for conservation policy , 2006 .

[29]  A. Prasad,et al.  Modifying climate change habitat models using tree species-specific assessments of model uncertainty and life history-factors , 2011 .

[30]  E. N. Munns.  The distribution of important forest trees of the United States , 1938 .

[31]  Charles T. Scott,et al.  Strategies for Preserving Owner Privacy in the National Information Management System of the USDA Forest Service's Forest Inventory and Analysis Unit , 2005 .

[32]  Jennifer A. Miller,et al.  Mapping Species Distributions: Spatial Inference and Prediction , 2010 .

[33]  J. Westfall.  FIA national assessment of data quality for forest health indicators , 2009 .

[34]  B. Lees,et al.  A new method for predicting vegetation distributions using decision tree analysis in a geographic information system , 1991 .

[35]  Sharon W. Woudenberg,et al.  The Forest Inventory and Analysis Database: Database Description and Users Manual Version 4.0 for Phase 2 , 2012 .

[36]  Judith D. Gardiner,et al.  Exploring tree species colonization potentials using a spatially explicit simulation model: implications for four oaks under climate change , 2013, Global change biology.

[37]  J. Ronald Eastman,et al.  A GIS framework for the refinement of species geographic ranges , 2012, Int. J. Geogr. Inf. Sci..