Oecologia

, Volume 153, Issue 2, pp 261–272

Linking water uptake with rooting patterns in grassland species

Ecophysiology

DOI: 10.1007/s00442-007-0745-8

Cite this article as:
Nippert, J.B. & Knapp, A.K. Oecologia (2007) 153: 261. doi:10.1007/s00442-007-0745-8

Abstract

Water availability strongly governs grassland primary productivity, yet this resource varies dramatically in time (seasonally) and space (with soil depth and topography). It has long been assumed that co-occurring species differ in their partitioning of water use by depth, but direct evidence is lacking. We report data from two growing seasons (2004–2005) in which we measured the isotopic signature of plant xylem water from seven species (including C3 forbs and shrubs and C4 grasses) growing along a topographic gradient at the Konza Prairie Biological Station. Plant xylem stable oxygen isotope ratio (δ18O) values were compared to soil water δ18O profiles, recent rainfall events, and groundwater. Species varied in both their temporal patterns of water use and their responses to seasonal droughts in both years. During wet periods, species differences in water use were minimal, with common dependency on recent rainfall events stored in the upper soil layers. However, during dry periods, most C3 species used proportionally more water from deeper portions of the soil profile relative to the C4 grasses. Plants in uplands used more shallow soil water compared to those in lowlands, with the greatest differences across the topographic gradient occurring during dry periods. While the documented vertical root distribution varies by species and growth form in this grassland, each of the species we measured appeared to compete for the same surface layer soil moisture when water was not limiting. Thus, our results suggest that variation in precipitation history and landscape positions are greater determinants of water-use patterns than would be expected based on absolute rooting depth.

Keywords

C3 plants C4 plants Stable oxygen isotope ratio Tallgrass prairie Mixing model 

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Department of Biology, Graduate Degree Program in EcologyColorado State UniversityFort CollinsUSA
  2. 2.Division of BiologyKansas State UniversityManhattanUSA

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