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From berries to blocks: carbon stock quantification of a California vineyard

Overview of attention for article published in Carbon Balance and Management, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

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9 X users

Citations

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69 Mendeley
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Title
From berries to blocks: carbon stock quantification of a California vineyard
Published in
Carbon Balance and Management, February 2017
DOI 10.1186/s13021-017-0071-3
Pubmed ID
Authors

Jorge Andres Morandé, Christine M. Stockert, Garrett C. Liles, John N. Williams, David R. Smart, Joshua H. Viers

Abstract

Quantifying terrestrial carbon (C) stocks in vineyards represents an important opportunity for estimating C sequestration in perennial cropping systems. Considering 7.2 M ha are dedicated to winegrape production globally, the potential for annual C capture and storage in this crop is of interest to mitigate greenhouse gas emissions. In this study, we used destructive sampling to measure C stocks in the woody biomass of 15-year-old Cabernet Sauvignon vines from a vineyard in California's northern San Joaquin Valley. We characterize C stocks in terms of allometric variation between biomass fractions of roots, aboveground wood, canes, leaves and fruits, and then test correlations between easy-to-measure variables such as trunk diameter, pruning weights and harvest weight to vine biomass fractions. Carbon stocks at the vineyard block scale were validated from biomass mounds generated during vineyard removal. Total vine C was estimated at 12.3 Mg C ha(-1), of which 8.9 Mg C ha(-1) came from perennial vine biomass. Annual biomass was estimated at 1.7 Mg C ha(-1) from leaves and canes and 1.7 Mg C ha(-1) from fruit. Strong, positive correlations were found between the diameter of the trunk and overall woody C stocks (R(2) = 0.85), pruning weights and leaf and fruit C stocks (R(2) = 0.93), and between fruit weight and annual C stocks (R(2) = 0.96). Vineyard C partitioning obtained in this study provides detailed C storage estimations in order to understand the spatial and temporal distribution of winegrape C. Allometric equations based on simple and practical biomass and biometric measurements could enable winegrape growers to more easily estimate existing and future C stocks by scaling up from berries and vines to vineyard blocks.

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Master 10 14%
Student > Ph. D. Student 9 13%
Student > Bachelor 7 10%
Other 5 7%
Other 11 16%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 29%
Environmental Science 16 23%
Engineering 5 7%
Earth and Planetary Sciences 3 4%
Social Sciences 2 3%
Other 5 7%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2022.
All research outputs
#5,940,808
of 24,417,958 outputs
Outputs from Carbon Balance and Management
#86
of 219 outputs
Outputs of similar age
#89,069
of 311,168 outputs
Outputs of similar age from Carbon Balance and Management
#5
of 6 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,168 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.