Influence of Environmental Variability on Root Dynamics in Northern Forests

Brassard, Brian W.; Chen, Han Y. H.; Bergeron, Yves

doi:10.1080/07352680902776572

Cited by 150 publications

(128 citation statements)

References 224 publications

(367 reference statements)

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“…The accurate quantification of plant aboveground biomass (AGB) and belowground biomass (i.e., roots) is crucial for the evaluation of ecosystem carbon storage, and toward understanding carbon dynamics in response to global climatic changes (Flombaum and Sala 2007;Brassard et al 2009), as well as other ecological processes such as wood production and nutrient cycling . In forest ecosystems, the AGB of shrubs and small trees (diameter at breast height (DBH) < 5 cm) comprises an essential component of total forest biomass (Helmisaari et al 2002).…”

Section: Introductionmentioning

confidence: 99%

Allometric biomass equations for shrub and small tree species in subtropical China

Ali¹,

Xu²,

Zhao³

et al. 2015

Silva Fenn.

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. (2015). Allometric biomass equations for shrub and small tree species in subtropical China. Silva Fennica vol. 49 no. 4 article id 1275. 10 p. Highlights• Diameter (D) and height (H) are strong predictors in species-specific and multispecies models for the aboveground biomass of subtropical shrubs and small trees.• Although wet basic density and crown shape may improve the predictive power of aboveground biomass slightly, the labor intensive measurements for wet basic density and crown shape may be disregarded when a large number of individuals are to be surveyed.• Our results extend the generality of D-H models for aboveground biomass for large trees to subtropical shrubs and small trees. AbstractSpecies-specific allometric equations for shrubs and small trees are relatively scarce, thus limiting the precise quantification of aboveground biomass (AGB) in both shrubby vegetation and forests. Fourteen shrub and small tree species in Eastern China were selected to develop species-specific and multispecies allometric biomass equations. Biometric variables, including the diameter of the longest stem (D), height (H), wet basic density (BD), and crown area and shape were measured for each individual plant. We measured the AGB through a non-destructive method, and validated these measurements using the dry mass of the sampled plant components. The AGB was related to biometric variables using regression analysis. The species-specific allometric models, with D and H as predictors (D-H models) accounted for 70% to 99% of the variation in the AGB of shrubs and small trees. A multispecies allometric D-H model accounted for 71% of the variation in the AGB. Although BD, as an additional predictor, improved the fit of most models, the D-H models were adequate for predicting the AGB for shrubs and small trees in subtropical China without BD data.

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Section: Introductionmentioning

confidence: 99%

Allometric biomass equations for shrub and small tree species in subtropical China

Ali¹,

Xu²,

Zhao³

et al. 2015

Silva Fenn.

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“…However, it is unclear how roots respond to increased N availability; this response can include increases in productivity, even though decreases in biomass occur [55]. This occurs when increases in root turnover with N availability result in root biomass decreases over long time scales, even though C allocated to the roots likely increases.…”

Section: Observations Of N Impactsmentioning

confidence: 99%

Earth System Model Needs for Including the Interactive Representation of Nitrogen Deposition and Drought Effects on Forested Ecosystems

Drewniak

Gonzàlez-Meler

2017

Forests

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Abstract:One of the biggest uncertainties of climate change is determining the response of vegetation to many co-occurring stressors. In particular, many forests are experiencing increased nitrogen deposition and are expected to suffer in the future from increased drought frequency and intensity. Interactions between drought and nitrogen deposition are antagonistic and non-additive, which makes predictions of vegetation response dependent on multiple factors. The tools we use (Earth system models) to evaluate the impact of climate change on the carbon cycle are ill equipped to capture the physiological feedbacks and dynamic responses of ecosystems to these types of stressors. In this manuscript, we review the observed effects of nitrogen deposition and drought on vegetation as they relate to productivity, particularly focusing on carbon uptake and partitioning. We conclude there are several areas of model development that can improve the predicted carbon uptake under increasing nitrogen deposition and drought. This includes a more flexible framework for carbon and nitrogen partitioning, dynamic carbon allocation, better representation of root form and function, age and succession dynamics, competition, and plant modeling using trait-based approaches. These areas of model development have the potential to improve the forecasting ability and reduce the uncertainty of climate models.

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“…Qi et al (2012) thought Zea mays with greater root systems would lead to higher yield. Moreover, root systems are highly dynamic over various temporal and spatial scales (Brassard et al, 2009), and are responsive to changes in environmental conditions, such as soil nutrients (Kochsiek et al, 2013), moisture (Pedroso et al, 2014), salinity (Hill et al, 2013), etc.…”

Section: Introductionmentioning

confidence: 99%

Effects of salt stress on eco-physiological characteristics in Robinia pseudoacacia based on salt-soil rhizosphere

Mao

Zhang

Cao

et al. 2016

Science of The Total Environment

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Robinia pseudoacacia is the main arbor species in the coastal saline-alkali area of the Yellow River Delta. Because most studies focus on the aboveground parts, detailed information regarding root functioning under salinity is scare. Root traits of seedlings of R. pseudoacacia including morphological, physiological and growth properties under four salinity levels (CK, 1‰, 3‰ and 5‰ NaCl) were studied by the pot experiments to better understand their functions and relationships with the shoots. The results showed that seedling biomass decreased by the reduction of root, stem and leaf biomass with the increase of salinity levels. With increasing salinity levels, total root length (TRL) and total root surface area (TRSA) decreased, whereas specific root length (SRL) and specific root area (SRA) increased. Salt stress decreased root activity (RA) and the maximum net photosynthetic rate (Amax) and increased the water saturation deficit (WSD) significantly in the body. Correlation analyses showed significantly correlations between root morphological and physiological parameters and seedling biomass and shoot physiological indexes. R. pseudoacacia seedlings could adapt to 1‰ salinity by regulating the root morphology and physiology, but failed in 5‰ salinity. How to adjust the water status in the body with decreasing water uptake by roots was an important way for R. pseudoacacia seedlings to adapt to the salt stress.

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Influence of Environmental Variability on Root Dynamics in Northern Forests

Cited by 150 publications

References 224 publications

Allometric biomass equations for shrub and small tree species in subtropical China

Allometric biomass equations for shrub and small tree species in subtropical China

Earth System Model Needs for Including the Interactive Representation of Nitrogen Deposition and Drought Effects on Forested Ecosystems

Effects of salt stress on eco-physiological characteristics in Robinia pseudoacacia based on salt-soil rhizosphere

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