Terrestrial Carbon Cycle Scientist at the Met Office – working on vegetation demography and the land surface
Joined August 2019
- Tweets 110
- Following 119
- Followers 84
- Likes 401
3 Photos and videos
Pinned Tweet
31 Oct 2023
Very happy that @JonClimateMoore got out our hypothesis that forests are “optimised" to maximise their stem and biomass density wrt to the drivers of life: births, growth and death. I would really recommend having a read through the methods: rdcu.be/dpTXE. (1/7)
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Arthur Argles retweeted
8 Aug 2024
Yesterday the first paper from my PhD, 'Tipping Mechanisms in a conceptual model of the Atlantic Meridional Overturning Circulation' was published online, and can be read here: doi.org/10.1002/wea.7609
@SachaSinet @PDLRitchie @ExeterUniMaths @UofE_Research @RMetS
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Arthur Argles retweeted
3 Aug 2024
Our ambitious experiment in the Amazon rainforest - @amazonface
6 rings of towers: 3 will keep CO2 levels within them high so we can study how rainforest trees respond. eg. does growth keep increasing at high CO2?
Crucial knowledge for calculating future carbon budgets
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Important new paper by Mark Williamson @ExeterUniMaths addressing the question: "Why does the emergent constraint on ECS from global temperature variability work for CMIP5 and not CMIP6?" @FemkeNijsse @GSI_Exeter @UK_CEH
esd.copernicus.org/articles/…
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@risking_it_ is presenting her work using the L4 dataset collected by @PlymouthMarine at #AMEMR2024 . This valuable monthly timeseries is crucial for model validation in the NECCTON project. @EU_HaDEA @UKRI_News @CopernicusEU @UNOceanDecade
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Arthur Argles retweeted
22 Mar 2024
I may go on about non-structural carbohydrates but you have to admit they do quite neatly explain declines in nocturnal plant respiration.
Read more in my new paper with @coxypm, Lina Mercado, Dan Bruhn and @NinaRaoult published with @SpringerNature. nature.com/articles/s43247-0…
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Arthur Argles retweeted
8 Mar 2024
The vegetation model Robust Ecosystem Demography (RED) updates plant #demography. The population is partitioned into mass classes and updated via a continuity equation. This allows for the size-dependence of growth and mortality to be modelled.
gmd.copernicus.org/articles/…
(1/2)
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Arthur Argles retweeted
7 Mar 2024
An interesting theoretical hypothesis of #forest demography called "#Demography Optimality" by
@coxypm. nature.com/articles/s41598-0….
He has been named as a highly-cited author every year from 2014 onwards.
More at his #esiStateOfTheArt talk on 25 March
👉 exeter.ac.uk/esi/people/feat…
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Arthur Argles retweeted
1 Mar 2024
Is the risk and impact of wildfires changing with the #climate? 🔥
Find out more 👇 #GetClimateReady
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Arthur Argles retweeted
14 Feb 2024
Climate change and deforestation risk an Amazon tipping point
Our new @nature paper led by @BernardoMflores
On current trends, we estimate that by 2050, 10 - 47% of Amazonian forests will exposed to compounding disturbances risking critical transitions
nature.com/articles/s41586-0…
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Arthur Argles retweeted
8 Feb 2024
Whoop! Paper final version published - Constraining the carbon cycle in JULES-ES-1.0 gmd.copernicus.org/articles/…
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Arthur Argles retweeted
9 Nov 2023
Ever wondered how good CMIP models are for regional scale carbon cycle? Actually not too bad. Based on regional assessment of present day carbon balance from RECCAP2, we assessed CMIP6 models. The multi-model mean did very well (green boxes)
agupubs.onlinelibrary.wiley.…
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Arthur Argles retweeted
2 Nov 2023
Not me, I'm safely away from the coastline but been sent these. Good morning Plymouth, please stay safe.
📸 Paul Montgomery
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This is a paper to be proud of @JonClimateMoore & @AArgles! A really elegant piece of work which hypotheses that there is an optimum mortality rate for a forest which depends on the growth-rate of the trees. 'Live fast, die young' now has a theoretical basis!
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Arthur Argles retweeted
31 Oct 2023
What spatial structure and dynamics emerge in tropical forests affected by fires at their edges? We explored this question theoretically by modelling fire and forest spread as contagion processes on grass patches. 1/n pnas.org/doi/10.1073/pnas.22…
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31 Oct 2023
Very happy that @JonClimateMoore got out our hypothesis that forests are “optimised" to maximise their stem and biomass density wrt to the drivers of life: births, growth and death. I would really recommend having a read through the methods: rdcu.be/dpTXE. (1/7)
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31 Oct 2023
I want to pass on special thanks to @JonClimateMoore and @coxypm , a fitting amalgamation of all work for your time at the University of Exeter. @UofE_Research @MetOffice_Sci @SciReports (7/7).
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