RECONSTRUCTING PLANT ROOT AREA AND WATER UPTAKE PROFILES
By K. Ogle, Robert L. Wolpert, J. Reynolds. 2004
115 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/26e6a53630c21a663de9be52eba53d536adfd7ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- James S. Clark
- Noel Cressie
- A. Fajardo
- Rafael L. Bras
- B. Cook
- D. Collins
- Christopher K. Wikle
- N. Kunert
In Plant Science
Citations in the corpus
- On the Use of Stable Isotopes in Trophic Ecology (2011, background): “…of Bayesian models argue that such models better accommodate uncertainties regarding consumer-resource discrimination, variation in consumer and source isotopic signatures, and external sources of variation not directly connected to isotopic variation per se (Ogle et al. 2004, Moreno et al. 2010).”
- Plant rooting strategies in water‐limited ecosystems (2007, methodology): “It should be noted that noninvasive techniques using isotopes have recently been developed [ Ogle et al., 2004 ].”
- Tree water uptake in a tropical plantation varying in tree diversity: interspecific differences, seasonal shifts and complementarity (2015, background): “The depth of soil water uptake by plants has been linked to rooting patterns and active root area (Ogle et al., 2004).”
- Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. (2009, background): “Hierarchical models address complex problems for which there may be several sources of information and hidden variables (Wikle et al. 1998, Abbitt and Breidt 2002, Brooks et al. 2004, Ogle et al. 2004, Clark 2005, Royle and Dorazio 2006).”
- Beyond description: the active and effective way to infer processes from spatial patterns. (2009, background): “In essence, this is related to the inverse modeling approach that examines the outcomes of ecological processes and infers the cause via direct parameterization of process models (Ogle et al. 2004).”