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Anthony P. Walker

Researcher at Oak Ridge National Laboratory

Publications -  84
Citations -  11564

Anthony P. Walker is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Carbon cycle & Ecosystem. The author has an hindex of 29, co-authored 71 publications receiving 6789 citations. Previous affiliations of Anthony P. Walker include University of Sheffield & University of Hohenheim.

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Global Carbon Budget 2020

Pierre Friedlingstein, +95 more
- 11 Dec 2020 - 
TL;DR: In this paper, the authors describe and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land-use change data and bookkeeping models.
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Global Carbon Budget 2018

Corinne Le Quéré, +84 more
- 05 Dec 2018 - 
TL;DR: In this article, the authors describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land-use change data and bookkeeping models.
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Global Carbon Budget 2016

Corinne Le Quéré, +71 more
- 14 Nov 2016 - 
TL;DR: In this article, the authors quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community.
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Global Carbon Budget 2017

Corinne Le Quéré, +86 more
- 13 Nov 2017 - 
TL;DR: In this paper, the authors quantify the five major components of the global carbon budget and their uncertainties, and the resulting carbon budget imbalance (BIM) is a measure of imperfect data and understanding of the contemporary carbon cycle.
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TRY plant trait database : Enhanced coverage and open access

Jens Kattge, +754 more
- 01 Jan 2020 - 
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.