2013
DOI: 10.5194/bg-10-7943-2013
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Modeling the effects of organic nitrogen uptake by plants on the carbon cycling of boreal forest and tundra ecosystems

Abstract: Abstract. Boreal forest and tundra are the major ecosystems in the northern high latitudes in which a large amount of carbon is stored. These ecosystems are nitrogen-limited due to slow mineralization rate of the soil organic nitrogen. Recently, abundant field studies have found that organic nitrogen is another important nitrogen supply for boreal forest and tundra ecosystems. In this study, we incorporated a mechanism that allowed boreal plants to uptake small molecular amino acids into a process-based biogeo… Show more

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Cited by 23 publications
(18 citation statements)
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“…To date, many terrestrial ecosystem biogeochemistry models assume that microbes outcompete plants and immobilize nutrients first (Wang et al, 2007;Zhu and Zhuang, 2013), although CLM currently assumes constant and relative demand competitiveness of plants and microbes. Few models, to our knowledge, consider the role of abiotic interactions in the competitive interactions.…”
Section: Discussionmentioning
confidence: 99%
“…To date, many terrestrial ecosystem biogeochemistry models assume that microbes outcompete plants and immobilize nutrients first (Wang et al, 2007;Zhu and Zhuang, 2013), although CLM currently assumes constant and relative demand competitiveness of plants and microbes. Few models, to our knowledge, consider the role of abiotic interactions in the competitive interactions.…”
Section: Discussionmentioning
confidence: 99%
“…Rather, we are only able to examine the competitive dynamics between aspen and black spruce species-types with changes in environmental forcing. Additionally, some observations indicate that a number of boreal species are able to uptake organic nitrogen, alleviating some of the nitrogen stress due to a lack of available mineralized nitrogen [N€ asholm et al, 1998;Zhu and Zhuang, 2013]. However, in the interest of parsimony, we did not include this process in our model.…”
Section: Journal Of Advances In Modeling Earth Systems 101002/2015msmentioning
confidence: 99%
“…Q 75 and Q 25 are 75 and 25 % percentage quantile of each parameter. UR is a useful metric (Zhu and Zhuang, 2014), because it quantitatively reveals the reduction in the range of a particular parameter after calibration with MCMC. It does not, however, indicate that the parameter itself is more consistent with observed values of the parameter.…”
Section: Model Parameterization and Sensitivity Analysismentioning
confidence: 99%