Abiotic and biotic factors controlling fine root biomass, carbon and nutrients in closed-canopy hybrid poplar stands on post-agricultural land

Fortier, Julien; Truax, Benoît; Gagnon, Daniel

doi:10.1038/s41598-019-42709-6

Cited by 30 publications

(16 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hundreds of images can be taken within a short period and have proven to provide reliable information related to foliar and moisture nutrient content, plant health, water content composition parameters for seeds, and leaf area index, applying different vegetation indexes [ 3 , 15 , 23 ]. Other sensors, such as thermal and chlorophyll fluorescence, can also be integrated to detect abiotic and biotic stresses and photosynthetic performance [ 24 , 25 , 26 , 27 ]. The choice of optical sensors mainly depends on the phenotypic variation of interest and image acquisition conditions [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions

Leiva

Vallenback

Ekblad

et al. 2021

Plants

View full text Add to dashboard Cite

Controlled plant growth facilities provide the possibility to alter climate conditions affecting plant growth, such as humidity, temperature, and light, allowing a better understanding of plant responses to abiotic and biotic stresses. A bottleneck, however, is measuring various aspects of plant growth regularly and non-destructively. Although several high-throughput phenotyping facilities have been built worldwide, further development is required for smaller custom-made affordable systems for specific needs. Hence, the main objective of this study was to develop an affordable, standalone and automated phenotyping system called “Phenocave” for controlled growth facilities. The system can be equipped with consumer-grade digital cameras and multispectral cameras for imaging from the top view. The cameras are mounted on a gantry with two linear actuators enabling XY motion, thereby enabling imaging of the entire area of Phenocave. A blueprint for constructing such a system is presented and is evaluated with two case studies using wheat and sugar beet as model plants. The wheat plants were treated with different irrigation regimes or high nitrogen application at different developmental stages affecting their biomass accumulation and growth rate. A significant correlation was observed between conventional measurements and digital biomass at different time points. Post-harvest analysis of grain protein content and composition corresponded well with those of previous studies. The results from the sugar beet study revealed that seed treatment(s) before germination influences germination rates. Phenocave enables automated phenotyping of plants under controlled conditions, and the protocols and results from this study will allow others to build similar systems with dimensions suitable for their custom needs.

show abstract

Section: Introductionmentioning

confidence: 99%

Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions

Leiva

Vallenback

Ekblad

et al. 2021

Plants

View full text Add to dashboard Cite

show abstract

“…Current global carbon cycle modeling and budgeting efforts draw on a vast literature regarding patterns and controls of total and aboveground net primary productivity from local to global scales (2,(9)(10)(11). However, the carbon allocated belowground cycles at different rates and is governed by different drivers than aboveground carbon (12). Individual field studies have shown contrasting BNPP responses to environmental variables.…”

mentioning

confidence: 99%

Global patterns and climatic controls of belowground net carbon fixation

Gherardi

Sala

2020

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Carbon allocated underground through belowground net primary production represents the main input to soil organic carbon. This is of significant importance, because soil organic carbon is the third-largest carbon stock after oceanic and geological pools. However, drivers and controls of belowground productivity and the fraction of total carbon fixation allocated belowground remain uncertain. Here we estimate global belowground net primary productivity as the difference between satellite-based total net primary productivity and field observations of aboveground net primary production and assess climatic controls among biomes. On average, belowground carbon productivity is estimated as 24.7 Pg y−1, accounting for 46% of total terrestrial carbon fixation. Across biomes, belowground productivity increases with mean annual precipitation, although the rate of increase diminishes with increasing precipitation. The fraction of total net productivity allocated belowground exceeds 50% in a large fraction of terrestrial ecosystems and decreases from arid to humid ecosystems. This work adds to our understanding of the belowground carbon productivity response to climate change and provides a comprehensive global quantification of root/belowground productivity that will aid the budgeting and modeling of the global carbon cycle.

show abstract

“…Thinning can impact fine root traits through the alteration of biotic and abiotic factors in stands 22 ; however, these studies did not provide any consistent conclusions. For example, some studies showed that fine root biomass decreased in thinned plots 23 , 24 , while others revealed different patterns 25 – 27 .…”

Section: Introductionmentioning

confidence: 73%

Variation in fine root traits with thinning intensity in a Chinese fir plantation insights from branching order and functional groups

Wang

Liu

Chen

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Thinning is a widely used practice in forest management, but the acclimation mechanisms of fine roots to forest thinning are still unclear. We examined the variations in fine root traits of different branching orders and functional groups along a thinning intensity gradient in a 26-year-old Chinese fir (Cunninghamia lanceolata) plantation. With increasing thinning intensity, the root C concentration (RCC), root N concentration (RNC), specific root area (SRA), and specific root length (SRL) of the absorptive roots (the first two orders) significantly decreased, while root abundance (root biomass and root length density) and root tissue density (RTD) significantly increased. Fifty-four percent of the variation in the absorptive root traits could be explained by the soil N concentration and the biomass and diversity of the understorey vegetation. Conversely, transport root (third- and higher-order) traits did not vary significantly among different thinning intensities. The covariation of absorptive root traits across thinning intensities regarding two dimensions was as follows: the first dimension (46% of the total variation) represented changes in root abundance and chemical traits (related to RCC, RNC), belonging to an extensive foraging strategy; the second dimension (41% of the total variation) represented variations in root morphological traits (related to RTD, SRL and SRA), which is an intensive foraging strategy (i.e., root economic spectrum). These results suggested that the absorptive roots of Chinese fir adopt two-dimensional strategies to acclimate to the altered surroundings after thinning.

show abstract

Abiotic and biotic factors controlling fine root biomass, carbon and nutrients in closed-canopy hybrid poplar stands on post-agricultural land

Cited by 30 publications

References 72 publications

Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions

Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions

Global patterns and climatic controls of belowground net carbon fixation

Variation in fine root traits with thinning intensity in a Chinese fir plantation insights from branching order and functional groups

Contact Info

Product

Resources

About