Productivity Patterns of C<sub>3</sub> and C<sub>4</sub> Functional Types in the U.S. Great Plains

Productivity Patterns of C<sub>3</sub> and C<sub>4</sub> Functional Types in the U.S. Great Plains

We analyzed the productivity of C<sub>3</sub> and C<sub>4</sub> grasses throughout the Great Plains of the United States in relation to three environmental factors: mean annual temperature, mean annual precipitation, and soil texture. Productivity data were collected from Nat...

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Veröffentlicht in:Ecology. - Duke University Press. - 78(1997), 3, Seite 722-731
1. Verfasser: Epstein, H. E. (VerfasserIn)
Weitere Verfasser: Lauenroth, W. K., Burke, I. C., Coffin, D. P.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1997
Zugriff auf das übergeordnete Werk:Ecology
Schlagworte:C<sub>3</sub> and C<sub>4</sub> grasses climate change grasses grassland Great Plains production, functional type photosynthetic pathway Biological sciences Physical sciences Information science Business
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100 1 |a Epstein, H. E.  |e verfasserin  |4 aut 
245 1 0 |a Productivity Patterns of C<sub>3</sub> and C<sub>4</sub> Functional Types in the U.S. Great Plains 
264 1 |c 1997 
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520 |a We analyzed the productivity of C<sub>3</sub> and C<sub>4</sub> grasses throughout the Great Plains of the United States in relation to three environmental factors: mean annual temperature, mean annual precipitation, and soil texture. Productivity data were collected from Natural Resource Conservation Service (NRCS) rangeland survey data. Climate data were interpolated from weather stations throughout the region. Soil texture data were obtained from NRCS State Soil Geographic (STATSGO) databases. A geographic information system was used to integrate the three data sources. With a data set of spatially random points, we performed stepwise multiple regression analyses to derive models of the relative and absolute production of C<sub>3</sub> and C<sub>4</sub> grasses in terms of mean annual temperature (MAT), mean annual precipitation (MAP), percentage sand (SAND), and percentage clay (CLAY). MAT, MAP, and soil texture explained 67-81% of the variation in relative and absolute production of C<sub>3</sub> and C<sub>4</sub> grasses. Both measures of production of C<sub>3</sub> grasses were negatively related to MAT and SAND, and positively related to CLAY. Relative production of C<sub>3</sub> grasses decreased whereas absolute production of C<sub>3</sub> grasses increased with MAP. Production of C<sub>4</sub> grasses was positively related to MAT, MAP, and SAND, and negatively related to CLAY. MAP was the most explanatory variable in the model for C<sub>4</sub> absolute production. MAT was the most explanatory variable in the three other models. Based on these regression models, C<sub>3</sub> grasses dominate 35% of the Great Plains under current climatic conditions, mainly north of Colorado and Nebraska. Under a 2<sup>⚬</sup> C increase in MAT, C<sub>3</sub> grasses recede northward and retain dominance in only 19% of the region. MAT, MAP, and soil texture are important variables in explaining the abundance and distribution of C<sub>3</sub> and C<sub>4</sub> grasses in the Great Plains. Accordingly, these variables will be important under changing CO<sub>2</sub> and climatic forcings. 
540 |a Copyright 1997 The Ecological Society of America 
650 4 |a C<sub>3</sub> and C<sub>4</sub> grasses 
650 4 |a climate change 
650 4 |a grasses 
650 4 |a grassland 
650 4 |a Great Plains 
650 4 |a production, functional type 
650 4 |a photosynthetic pathway 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plants  |x Grasses 
650 4 |a Physical sciences  |x Earth sciences  |x Geography  |x Geomorphology  |x Topography  |x Lowlands  |x Plains 
650 4 |a Physical sciences  |x Earth sciences  |x Geography  |x Geodesy  |x Cartography  |x Maps 
650 4 |a Biological sciences  |x Agriculture  |x Agricultural sciences  |x Agronomy  |x Soil science  |x Edaphology  |x Soil ecology  |x Soil characteristics  |x Soil texture 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plants 
650 4 |a Information science  |x Data products  |x Databases 
650 4 |a Business  |x Business economics  |x Commercial production  |x Productivity 
650 4 |a Biological sciences  |x Agriculture  |x Agricultural sciences  |x Agronomy  |x Soil science  |x Soils  |x Rangeland soils 
650 4 |a Physical sciences  |x Earth sciences  |x Geography 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plant ecology  |x Ecosystem Ecology 
655 4 |a research-article 
700 1 |a Lauenroth, W. K.  |e verfasserin  |4 aut 
700 1 |a Burke, I. C.  |e verfasserin  |4 aut 
700 1 |a Coffin, D. P.  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Ecology  |d Duke University Press  |g 78(1997), 3, Seite 722-731  |w (DE-627)311927165  |w (DE-600)2010140-5  |x 19399170  |7 nnns 
773 1 8 |g volume:78  |g year:1997  |g number:3  |g pages:722-731 
856 4 0 |u https://www.jstor.org/stable/2266052  |3 Volltext 
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952 |d 78  |j 1997  |e 3  |h 722-731