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Issues related to the detection of boundaries

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Abstract

Ecotones are inherent features of landscapes, transitional zones, and play more than one functional role in ecosystem dynamics. The delineation of ecotones and environmental boundaries is therefore an important step in land-use management planning. The delineation of ecotones depends on the phenomenon of interest and the statistical methods used as well as the associated spatial and temporal resolution of the data available. In the context of delineating wetland and riparian ecosystems, various data types (field data, remotely sensed data) can be used to delineate ecotones. Methodological issues related to their detection need to be addressed, however, so that their management and monitoring can yield useful information about their dynamics and functional roles in ecosystems. The aim of this paper is to review boundary detection methods. Because the most appropriate methods to detect and characterize boundaries depend of the spatial resolution and the measurement type of the data, a wide range of approaches are presented: GIS, remote sensing and statistical ones.

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References

  • Arnoff, S. 1989. Geographic Information Systems: A Management Perspective. WDL Publications, Ottawa, Canada.

    Google Scholar 

  • Bailey, R.G. 1996. Ecosystem Geography. Springer-Verlag, New York, USA.

    Google Scholar 

  • Beauchemin, M., Thomson, K. P. B. and Edwards, G. 1995. Modeling Forest Stands with MIMICS: Implications for Calibration. Canadian Journal of Remote Sensing on Radar Applications, 21: 518–526.

    Google Scholar 

  • Beven, K. J. and Kirkby. M. J. 1979. A physically based, variable contributing area model of basin hydrology. Hydrol. Sci. Bull. 24:43–69.

    Google Scholar 

  • Burrough, P. A. 1986. Principles of geographical information systems for land resources assessment. Monographs on Soil and Resources Survey No. 12. Clarendon Press, Oxford.

    Google Scholar 

  • Butera, M. K. 1983. Remote sensing of wetlands. IEEE Trans. Geosci. Remote Sensing GE-21: 383–392.

    Google Scholar 

  • Cantoni, V., Levialdi, S. and Roberto, V. (eds). 1997. Artificial Vision: Image Description, Recognition and Communication. Academic Press, New York.

    Google Scholar 

  • Clarke, S. E., White, D. and Schaedel, A. L. 1991. Ecological regions and subregions for water quality management. Environ. Manag. 15: 847–856.

    Google Scholar 

  • Corneleo, R. L., Paul, J. F., August, P. V., Copeland, J., Baker, C. and Hale, S. S. 1996. Relationships between watershed stressors and sediment contamination in Chesapeake Bay. Landscape Ecol. 11: 307–319.

    Google Scholar 

  • Cornelius, J. M. and Reynolds, J. F. 1991. On determining the statistical significance of discontinuous within ordered ecological data. Ecology 72: 2057–2070.

    Google Scholar 

  • Crumley, C. L. 1993. Analyzing historic ecotonal shifts. Ecol. Appl. 3: 377–384.

    Google Scholar 

  • Décamps, H., Fortune, M., Gazelle, F. and Pautou, G. 1988. Historical influence of man on the riparian dynamics of a fluvial landscape. Landscape Ecol. 1: 163–173.

    Google Scholar 

  • DeFries, R., Hansen, M. and Townshend. J. 1995. Global discrimination of land cover types from metrics derived from AVHRR pathfinder data. Remote Sensing Environ. 54: 209–222.

    Google Scholar 

  • Edwards, G. 1995. Methods for assessing local map accuracy in thematic classifications derived from remotely sensed imagery. Proceedings of the 17th International Cartographic Conference, Barcelona, pp. 1521–1530.

  • Edwards, G. and Lowell, K. E. 1996. Modelling uncertainty in photo-interpreted boundaries. Photogr. Eng. Remote Sensing 62: 377–391.

    Google Scholar 

  • ESRI (Environmental Systems Research Institute, Inc.). 1993. ARC/INFO GRID command reference. Environmental Systems Research Institute, Inc., Redlands, California, USA.

    Google Scholar 

  • Fortin, M.-J. 1994. Edge detection algorithms for two-dimensional ecological data. Ecology 75: 956–965.

    Google Scholar 

  • Fortin, M.-J. 1997. Effects of data types on vegetation boundary delineation. Can. J. Forestry Res. 27: 1851–1858.

    Google Scholar 

  • Fortin, M.-J. and Edwards, G. In press. Accuracy Issues Related to the Delineation of Vegetation Boundaries. In Spatiac Ecology. Uncertainty in. Edited by Hunsaker, C., M. Goodchild, M. Friedl and T. Case. Springer-Verlag, Berlin.

  • Fortin, M.-J. and Drapeau, P. 1995. Delineation of ecological boundaries: Comparison of approaches and significance tests. Oikos 72: 323–332.

    Google Scholar 

  • Fortin, M.-J., Drapeau, P. and Jacquez, G. M. 1996. Quantification of the spatial co-occurrences of ecological boundaries. Oikos 77: 51–60.

    Google Scholar 

  • Gallant, A. L., Whittier, T. R., Larsen, D. P., Omernik, J. M. and Hughes, R. H. 1989. Regionalization as a tool for managing environmental resources. EPA/600/3-89/060. U.S. Environmental Protection Agency, Environmental Research Laboratory, Corvallis, Oregon, USA.

    Google Scholar 

  • Gilliam, J.W. 1994. Riparian wetlands and water quality. J. Environ. Qual. 23: 896–900.

    Google Scholar 

  • Gosselink, J. G., Lee, L. C. and Muir, T. A. (eds). 1990. Ecological Process and Cumulative Impacts. Lewis Publishers, Chelsea, Michigan, USA.

    Google Scholar 

  • Gosz, J. R. 1993. Ecotone hierarchies. Ecol. Appl. 3: 369-376.

    Google Scholar 

  • Griffith, G. E., Omernik, J. M. and Azevedo, S. H. 1997. Ecoregions of Tennessee. EPA/600/R-97/022. National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Corvallis, Oregon, USA.

    Google Scholar 

  • Hansen, A. and di Castri, F. (eds). 1992. Landscape Boundaries: Consequences for Biotic Diversity and Ecological Flows. Springer-Verlag, New York.

    Google Scholar 

  • Hardisky, M. A., Gross, M. F. and Klemas, V. 1986. Remote sensing of coastal wetlands. BioScience 36: 453–460.

    Google Scholar 

  • Holland, M. M. 1988. SCOPE/MAB technical consultations on landscape boundaries. In Biology International 17. Edited by F. di Castri, A. J. Hansen, and M. M. Holland. pp. 47–104.

  • Holland, M. M., Risser, P. G. and Naiman, R. J. (eds). 1991. Ecotones. Chapman & Hall, New York.

    Google Scholar 

  • Hornbeck, J. W. and Swank, W. T. 1992. Watershed ecosystem analysis as a basis for multiple-use management of eastern forests. Ecol. Appl. 2: 238–247.

    Google Scholar 

  • Hunsaker, C. T. and Levine, D. A. 1995. Hierarchiacal approaches to the study of water quality in rivers. BioScience 45: 193–203.

    Google Scholar 

  • Iverson, L. R. 1988. Land-use changes in Illinois, USA: The in-fluence of landscape attributes on current and historic land use. Landscape Ecol. 2: 45–61.

    Google Scholar 

  • Iverson, L. R., Dale, M. E., Scott, C. T. and Prasad, A. 1997. A GISderived integrated moisture index to predict forest composition and productivity in Ohio forests. Landscape Ecol. 12: 331–348.

    Google Scholar 

  • Jensen, S. K. and Dominique, J. O. 1988. Extracting topographic structure from digital elevation data for geographic information system analysis. Photogr. Eng. Remote Sensing 54: 1593–1600.

    Google Scholar 

  • Johnson, L. B., Richards, C., Host, G. E. and Arthur, J. W. 1997. Landscape influences on water chemistry in midwestern stream ecosystems. Freshwater Biol. 37: 193–199.

    Google Scholar 

  • Johnston, C. A. and Bonde, J.1989. Quantitative analysis of ecotones using a geographic information systems. Photogr. Eng. Remote Sensing 55: 1643–1647.

    Google Scholar 

  • Johnston, C. A. and Naiman, R. J. 1987. Boundary dynamics at the aquatic-terrestrial interface: The influence of beaver and geomorphology. Landscape Ecol. 1: 47–57.

    Google Scholar 

  • Johnston, C. A., Pastor, J. and Pinay, G. 1992. Quantitative methods for studying landscape boundaries. In Landscape Boundaries: Consequences for Biotic Diversity and Ecological Flows. pp. 107–128. Edited by Hansen, A. and F. di Castri. Springer-Verlag, New York.

    Google Scholar 

  • Justice, C. O., Townsend, J. R. G., Holbern, B. N. and Tucker, C. J. 1985. Analysis of the phenology of global vegetation using meteorological satellite data. Int. J. Remote Sensing 6: 1271–1381.

    Google Scholar 

  • Ludwig, J. A. and Cornelius, J. M. 1987. Locating discontinuities along ecological gradients. Ecology 68: 448–450.

    Google Scholar 

  • Mandelbrot, B. B. 1982. The Fractal Geometry of Nature. Freeman, New York, USA.

    Google Scholar 

  • McCoy, E. D., Bell, S. S. and Walters, K. 1986. Identifying biotic boundaries along environmental gradients. Ecology 67: 749–759.

    Google Scholar 

  • Milne, B. T. and Johnson, A. R. 1993. Renormalization relations for scale transformation in ecology. In Some Mathematical Questions in Biology: Predicting Spatial Effects in Ecological Systems. pp. 109–128. Edited by R. H. Gardner. American Mathematical Society, Providence, Rhode Island.

    Google Scholar 

  • Naiman, R. J. and Décamps, H. (eds). 1990. The Ecology and Management of Aquatic-Terrestrial Ecotones. The Parthenon Publishing Group, Paris.

    Google Scholar 

  • Neilson, R. P. 1991. Climatic constraints and issues of scale controlling regional biomes. In Ecotones: The Role of Landscape Boundaries in the Management and Restoration of Changing Environments. pp. 31–51. Edited by M. M. Holland, P. G. Risser and R. J. Naiman. Chapman & Hall, New York.

    Google Scholar 

  • Omernik, J. M. 1987. Ecoregions of the conterminous United States. Ann. Assoc. Am. Geographers 77: 118–125.

    Google Scholar 

  • O'Neill, R. V., Krummel, J. R., Gardner, R. H., Sugihara, G., Jackson, B., DeAngelis, D. L., Milne, B. T., Turner, M. G., Zygmunt, B., Christensen, S. W., Dale, V. H. and Graham, R. L. 1988. Indices of landscape pattern. Landscape Ecol. 1: 153–162.

    Google Scholar 

  • Osborne, L. and Wiley, M. J. 1988. Empirical relationships between land use/cover and stream water quality in an agricultural watershed. J. Environ. Manag. 26: 9–27.

    Google Scholar 

  • Peterjohn, W. T. and Correll, D. L. 1984. Nutrient dynamics in an agricultural watershed: Observations on the role of a riparian forest. Ecology 65: 1466–1475.

    Google Scholar 

  • Pitas, I. 1993. Digital image processing algorithms. Prentice Hall, New York, USA.

    Google Scholar 

  • Risser, P.G. 1990. The ecological importance of land-water ecotones. In The Ecology and Management of Aquatic-terrestrial Ecotones. pp. 7–21. Edited by R. J. Naiman and H. Décamps. The Parthenon Publishing Group, UNESCO, Paris.

    Google Scholar 

  • SAMAB (Southern Appalachian Man and the Biosphere). 1996. The Southern Appalachian Assessment. Summary Report. Report 1 of 5. U.S. Department of Agriculture, Forest Service, Southern Region, Atlanta, Georgia, USA.

    Google Scholar 

  • Sellers, P. J., Hall, F. G., Asrar, G., Strebel, D. E. and Murphy, R. E. 1988. The first ISLSCP field experiment (FIFE). Bull. Am. Meteorol. Soc. 69: 22–27.

    Google Scholar 

  • Story, M. and Congalton, R. 1986. Accuracy assessment: A user's perspective. Photogr. Eng. Remote Sensing 52: 397–399.

    Google Scholar 

  • Swanson, F. J. and Sparks, R. E. 1990. Long-term ecological research and the invisible place. Bioscience 40: 502–508.

    Google Scholar 

  • Upton, G. J. G. and Fingleton, B. 1985. Spatial data analysis by example. Volume 1: Point Pattern and Quantitative Data. John Wiley & Sons, New York.

    Google Scholar 

  • U.S. Army Corps of Engineers. 1993. Mission to planet earth task force report. U.S. Army Corps of Engineers, Washington, D.C., USA.

    Google Scholar 

  • Vought, L. B. M., Dahl, J., Pedersen, C. L. and Lacoursiere J. O. 1994. Nutrient retention in riparian ecotones. Ambio 23: 342–348.

    Google Scholar 

  • Whigham, D. F., Chitterling, C. and Palmer, B. 1988. Impacts of freshwater wetlands on water quality: A landscape perspective. Environ. Manag. 12: 663–671.

    Google Scholar 

  • Whigham, D. F., Chitterling, C., Palmer, B. and O'Neill, J. 1986. Modification of runoff from upland watersheds: The influence of a diverse riparian ecosystem. In Watershed Research Perspectives. pp. 283–304. Edited by D. L. Correll. Smithsonian Institution Press, Washington, D.C.

    Google Scholar 

  • Wiens, J. A., Crawford, C. S. and Gosz, J. R. 1985. Boundary dynamics: A conceptual framework for studying landscape ecosystems. Oikos 45: 421–427.

    Google Scholar 

  • Wolter, P. T., Mladenoff, D. J., Host, G. E. and Crow, T. R. 1995. Improved forest classification in the northern lake states using multi-temporal LANDSAT imagery. Photogr. Eng. Remote Sensing 61: 1129–1143.

    Google Scholar 

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Fortin, MJ., Olson, R., Ferson, S. et al. Issues related to the detection of boundaries. Landscape Ecology 15, 453–466 (2000). https://doi.org/10.1023/A:1008194205292

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