Integration of geographic information systems and logistic multiple regression for aquatic macrophyte modeling

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Since aquatic macrophytes have an important influence on the physical and chemical processes of an ecosystem while simultaneously affecting human activity, it is imperative that they be inventoried and managed wisely. However, mapping wetlands can be a major challenge because they are found in diverse geographic areas ranging from small tributary streams, to shrub or scrub and marsh communities, to open water lacustrian environments. In addition, the type and spatial distribution of wetlands can change dramatically from season to season, especially when nonpersistent species are present. This research, focuses on developing a model for predicting the future growth and distribution … continued below

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27 p.

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Narumalani, S.; Jensen, J. R.; Althausen, J. D.; Burkhalter, S. & Mackey, H. E., Jr. June 1, 1994.

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Since aquatic macrophytes have an important influence on the physical and chemical processes of an ecosystem while simultaneously affecting human activity, it is imperative that they be inventoried and managed wisely. However, mapping wetlands can be a major challenge because they are found in diverse geographic areas ranging from small tributary streams, to shrub or scrub and marsh communities, to open water lacustrian environments. In addition, the type and spatial distribution of wetlands can change dramatically from season to season, especially when nonpersistent species are present. This research, focuses on developing a model for predicting the future growth and distribution of aquatic macrophytes. This model will use a geographic information system (GIS) to analyze some of the biophysical variables that affect aquatic macrophyte growth and distribution. The data will provide scientists information on the future spatial growth and distribution of aquatic macrophytes. This study focuses on the Savannah River Site Par Pond (1,000 ha) and L Lake (400 ha) these are two cooling ponds that have received thermal effluent from nuclear reactor operations. Par Pond was constructed in 1958, and natural invasion of wetland has occurred over its 35-year history, with much of the shoreline having developed extensive beds of persistent and non-persistent aquatic macrophytes.

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27 p.

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OSTI as DE94012379; Paper copy available at OSTI: phone, 865-576-8401, or email, reports@adonis.osti.gov

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  • 1994 annual convention and exposition of the American Society for Photogrammetry and Remote Sensing (ASPRS) and the American Congress on Surveying and Mapping (ACSM),Reno, NV (United States),25-28 Apr 1994

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  • Other: DE94012379
  • Report No.: WSRC-MS--93-580
  • Report No.: CONF-9404153--1
  • Grant Number: AC09-89SR18035
  • Office of Scientific & Technical Information Report Number: 10154394
  • Archival Resource Key: ark:/67531/metadc1320093

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  • June 1, 1994

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  • Nov. 3, 2018, 11:47 a.m.

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  • July 2, 2020, 2:27 p.m.

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Narumalani, S.; Jensen, J. R.; Althausen, J. D.; Burkhalter, S. & Mackey, H. E., Jr. Integration of geographic information systems and logistic multiple regression for aquatic macrophyte modeling, article, June 1, 1994; Aiken, South Carolina. (https://digital.library.unt.edu/ark:/67531/metadc1320093/: accessed April 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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