2018
DOI: 10.1086/699828
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A New Framework for Evaluating Estimates of Symbiotic Nitrogen Fixation in Forests

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Cited by 12 publications
(29 citation statements)
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“…First, the characteristics of our plot sampling (sample size, fraction of cores containing nodules, and variation in nodule biomass among cores with nodules; Table ) suggest that our estimates fall within the range of estimation error recommended as a reasonable target in Winbourne et al. (). Specifically, a relatively large fraction of our cores contained nodules.…”
Section: Discussionmentioning
confidence: 65%
See 1 more Smart Citation
“…First, the characteristics of our plot sampling (sample size, fraction of cores containing nodules, and variation in nodule biomass among cores with nodules; Table ) suggest that our estimates fall within the range of estimation error recommended as a reasonable target in Winbourne et al. (). Specifically, a relatively large fraction of our cores contained nodules.…”
Section: Discussionmentioning
confidence: 65%
“…The zero‐inflated geometric mean allows us to conduct statistical tests that make the proper assumptions about the structure of our data, but is relatively insensitive to rare, large values that can comprise a large portion of actual plot‐scale SNF (Winbourne et al. ). The arithmetic mean is a better representation of actual ecosystem‐level SNF fluxes precisely because it does a better job of incorporating these rare, large values, which is why we present it as our primary estimate of flux values.…”
Section: Discussionmentioning
confidence: 99%
“…How to best sample for nodules and estimate ecosystem-level symbiotic BNF in tropical forests is a subject of ongoing discussion 12,29,30,32,45 . We recognize that our systematic approach which restricted our survey to a fixed area around individual trees during a single wet season may have affected our estimates.…”
Section: Discussionmentioning
confidence: 99%
“…from an oxic to an anoxic state). Many studies have reported hotspots of BNF in both symbiotic and free-living niches (Reed et al, 2011;Winbourne et al, 2018;Wong et al, 2019) and response curves for various controls suggest that hot moments almost certainly also occur (Caputa et al, 2013;Roley et al, 2019). Of the two, hotspots are generally easier to identify because it is far more common to collect multiple samples in space than to repeatedly resample the same point over time.…”
Section: Hotspots and Hot Momentsmentioning
confidence: 99%