LPICEA
@lpicea
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Lab of Plant Interactions: Climate, Ecosystem & Atmosphere Led by Dr. Han Wang
DESS, Tsinghua University
Joined January 2020
LPICEA Science Club gradually finds its way... Here not only we discuss about recent papers, but also share research process from and outside LPICEA. If you're interested, check link to find out more and join us🙌! https://t.co/mSzD81c3xb
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🌍 Beijing: A hub for global ecosystem modelling! Colin and Sandy’s visit to Tsinghua led to surprise meetups with top scientists, driving new collaborations. Read more: https://t.co/LfwdGxt17q
@b_medlyn @ciais_philippe @ryuyr77 @lpicea @Tsinghua_Uni @TomPughLab
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We're looking for a new postdoc to join our Q.E.D. Lab https://t.co/aSvdeIr0Ng at @UCBerkeley Key areas: long-term ecosystem dynamics, nature-based solutions, ecophys theory, ML and remote sensing, modeling/emulation, eddy-covariance data, and more. Please retweet! (1/3)
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The acclimation of leaf dark respiration coupled to photosynthesis Ren et al. @Yanghang_ren @WangHanSci @LabPrentice @SandyHarrisonRe @GiuliaMengoli @ArthurStefanski @lpicea 📖 https://t.co/kU0UfCrsmM
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More than 100 species have been sampled and measured (hydraulics, respiration, photosynthesis, soft traits). Can’t wait to check those amazing data! Thank everyone for making this happen! @lpicea @SandyHarrisonRe @LabPrentice @RunxiWANG_ @Shengchao_Qiao
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New open-access paper (@agformet). We used optimality principles to verify evapotranspiration fluxes over several major River basins around the world. The kind of study that allowed insightful discussions and partnerships, led by @TanShen13 (@lpicea).
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Check out my poster at Hall A.252 today👇 “Global variation in sapwood to leaf area ratio explained by optimality principles” #EGU23
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📢🌿New paper that we’re very excited about! "Leaf economics fundamentals explained by optimality principles", led by @WangHanSci. @westsyduhie,@LabPrentice,@ecostats,@Shengchao_Qiao,@XiangtaoX.
science.org
Carbon profit maximization explains why leaf mass per area and longevity covary, and how their relationship changes with climate.
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Do you know why evergreen and deciduous species behave differently along latitude? Check out our latest paper on leaf economics spectrum captured by optimality principle @ScienceAdvances
science.org
Carbon profit maximization explains why leaf mass per area and longevity covary, and how their relationship changes with climate.
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The final day of #AGU22. 4 @Lemontree_UofR talks in session B55A with @SandyHarrisonRe presenting: Eco-evolutionary optimality in the context of vegetation modelling. 20:45- 20:54
agu.confex.com
Eco-evolutionary optimality (EEO) invokes the power of natural selection to eli...
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Thanks everyone who participated in fieldwork along newly added Gongga elevational transect @WangHanSci @LabPrentice @SandyHarrisonRe @Shengchao_Qiao @RunxiWANG_ @huiying_xu @peng_yunke @GiuliaMengoli Can’t wait for the fieldwork next year! 🙌
The China plant trait database version 2 just came out! It contains photosynthetic, stoichiometric, morphological and hydraulic traits from grassland☘️ to tropical forest🌳. Thanks to all the people who contributed to the fieldwork!
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Thanks @WangHanSci @LabPrentice @SandyHarrisonRe for designing and organizing the fieldwork, @Shengchao_Qiao for extracting environmental data, @RunxiWANG_ for designing figures, @huiying_xu for interpolating climate data in Gongga and validating trait data
The China plant trait database version 2 just came out! It contains photosynthetic, stoichiometric, morphological and hydraulic traits from grassland☘️ to tropical forest🌳. Thanks to all the people who contributed to the fieldwork!
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The China plant trait database version 2 just came out! It contains photosynthetic, stoichiometric, morphological and hydraulic traits from grassland☘️ to tropical forest🌳. Thanks to all the people who contributed to the fieldwork!
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PhD students in our lab (@Shengchao_Qiao @huiying_xu, Ziqi, Yanghang, Han) share their research, opinions, news in their monthly blogs. We have updated about crop, respiration, allocation and LAI... Feel free to leave feedbacks👇More blogs coming✍️ https://t.co/kpbNmzCOgV
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We invited @SteniBocker from University of Bern to give us a talk about "Towards a predictive science of climate impacts on vegetation" at 9am (UTC+1) this Friday 21st Oct. Remember to add it to your calendar! DM for Zoom links!
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Check out our new paper on explaining LAI response to environmental change in Tibet Plateau using optimality theory @WangHanSci @LabPrentice @SandyHarrisonRe @TanShen13 @Shengchao_Qiao
|| NEW RESEARCH || Optimality principles explaining divergent responses of alpine vegetation to environmental change 📄 https://t.co/lOkn1beVmE
@UniRdg_GES @Tsinghua_Uni @UniofReading @GMaceCentre
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9-10AM (London time) 6 Oct, We invite Dr Rosie Fisher from CICERO to talk about her research on a recently completed census of the alternative strategies building vegetation demographic representations of the terrestrial biosphere. DM for Zoom link 😊
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Do you know when is the best to sow the crops' seeds so that you could harvest the most? Check out our latest research on simulating sowing dates based on optimality principle 👇 https://t.co/cKUSz1BRne
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Viewpoint: Rising CO2 and warming reduce global canopy demand for nitrogen @biodning @ianjwright1 @xiangzLuo @lpicea @trevorkeenan @nick_greg_smith @LabPrentice 👉 https://t.co/M66ZTOwlz2
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The plastic response of🍃morphological traits to climate is muted, thus the apparent shift along climate gradients reflects plant adaptations to environment at a community-level as determined by species replacement: @lpicea @LabPrentice @SandyHarrisonRe
besjournals.onlinelibrary.wiley.com
The plastic response of size, shape, colour and other leaf morphological traits to climate is muted, thus their apparent shift along climate gradients reflects plant adaptations to environment at a...
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great figures produced by @RunxiWANG_ make loads of traits easier to be separated out!
Check out our newest work on how climate shapes leaf morphological traits in China. Really appreciate that I could have such a nice chance to work on this fantastic dataset with @WangHanSci @lpicea @LabPrentice @SandyHarrisonRe (1/3)
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