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Regional productivities of plant species in the Great Plains of the United States

Regional productivities of plant species in the Great Plains of the United States Few studies have analyzed the production of plant species at regional scales in grassland ecosystems, due in part to limited availability of data at large spatial scales. We used a dataset of rangeland surveys to examine the productivities of 22 plant species throughout the Great Plains of the United States with respect to three environmental factors: temperature, precipitation and soil texture. Productivity of plant species was obtained from Natural Resource Conservation Service (NRCS) range site descriptions. We interpolated climate data from 296 weather stations throughout the region and used soil texture data from NRCS State Soil Geographic (STATSGO) databases. We performed regression analyses to derive models of the relative and absolute production of each species in terms of mean annual temperature (MAT), mean annual precipitation (MAP), and percentage SAND, SILT and CLAY. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Plant Ecology Springer Journals

Regional productivities of plant species in the Great Plains of the United States

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References (74)

Publisher
Springer Journals
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Life Sciences; Plant Sciences
ISSN
1385-0237
eISSN
1573-5052
DOI
10.1023/A:1009732800810
Publisher site
See Article on Publisher Site

Abstract

Few studies have analyzed the production of plant species at regional scales in grassland ecosystems, due in part to limited availability of data at large spatial scales. We used a dataset of rangeland surveys to examine the productivities of 22 plant species throughout the Great Plains of the United States with respect to three environmental factors: temperature, precipitation and soil texture. Productivity of plant species was obtained from Natural Resource Conservation Service (NRCS) range site descriptions. We interpolated climate data from 296 weather stations throughout the region and used soil texture data from NRCS State Soil Geographic (STATSGO) databases. We performed regression analyses to derive models of the relative and absolute production of each species in terms of mean annual temperature (MAT), mean annual precipitation (MAP), and percentage SAND, SILT and CLAY.

Journal

Plant EcologySpringer Journals

Published: Sep 28, 2004

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