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Using map algebra to determine the mesoscale distribution of invasive plants: the case of Celastrus orbiculatus in Southern Illinois, USA

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Abstract

Since its introduction into North America in the late 19th century, Celastrus orbiculatus (Thumb.) has become a serious ecological threat to native ecosystems. Development of a method to accurately map the occurrence of invasive plants, including C. orbiculatus, would greatly assist in their assessment and control. Using an innovative map regression model, we predicted 85% of presence and absence of C. orbiculatus within our study area. We identify environmental characteristics associated with C. orbiculatus and demonstrate the use of this information to predict occurrence of C. orbiculatus across a broad area in Southern Illinois, USA. Presence and absence information were obtained at sample points within discrete areas of C. orbiculatus occurrence. Forest cover, elevation, slope gradient and aspect, soil pH and texture, distance to nearest road, and potential annual direct incident radiation were recorded for invaded and adjacent non-invaded areas. Presence of oak, elevation, slope gradient, soil pH, soil texture, and distance to road were significant factors associated with the presence or absence of C. orbiculatus. Probability of occurrence of C. orbiculatus was highest on gently sloping interfluves with successional forest canopy not dominated by oak, and less acidic, mesic soil. A logistic regression model was developed and extrapolated over a raster GIS data layer using map algebra to predict current invasion throughout the study area. The model correctly predicted at least 85% occurrence of C. orbiculatus. When combined with logistic regression, map algebra is a potentially powerful tool for evaluating the spatial distribution of invasive plants provided sound statistical principles are applied in extrapolating validated regression models.

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Acknowledgements

We acknowledge the staff of Giant City Park, in particular Jenny Skufca, for their cooperation and assistance in site location and description, as well as land use history within the park. We are grateful to Bob Lindsey, Illinois Department of Natural Resources, for the assistance of his interns, Dan Cox and Kari Foster.

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  1. Carol L. Williams

    Present address: Department of Agronomy, Iowa State University, Ames, IA, 50011-1010, USA

Authors and Affiliations

  1. Department of Geography and Environmental Resources, Southern Illinois University, Carbondale, IL, 62901-4514, USA

    Archana Pande & Christopher L. Lant

  2. Department of Earth Sciences, University of North Carolina, Wilmington, NC, 28403-5944, USA

    Carol L. Williams

  3. Department of Plant Biology and Center for Ecology, Southern Illinois University, Carbondale, IL, 62901-6509, USA

    David J. Gibson

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  1. Archana Pande
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  2. Carol L. Williams
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  3. Christopher L. Lant
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Correspondence to Carol L. Williams.

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Pande, A., Williams, C.L., Lant, C.L. et al. Using map algebra to determine the mesoscale distribution of invasive plants: the case of Celastrus orbiculatus in Southern Illinois, USA. Biol Invasions 9, 419–431 (2007). https://doi.org/10.1007/s10530-006-9049-x

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