Selecting and applying modelling tools to evaluate forest management strategi...CIFOR-ICRAF
This presentation was delivered at the third Asia-Pacific Forestry Week 2016, in Clark Freeport Zone, Philippines.
The five sub-thematic streams at APFW 2016 included:
Pathways to prosperity: Future trade and markets
Tackling climate change: challenges and opportunities
Serving society: forestry and people
New institutions, new governance
Our green future: green investment and growing our natural assets
Selecting and applying modelling tools to evaluate forest management strategi...CIFOR-ICRAF
This presentation was delivered at the third Asia-Pacific Forestry Week 2016, in Clark Freeport Zone, Philippines.
The five sub-thematic streams at APFW 2016 included:
Pathways to prosperity: Future trade and markets
Tackling climate change: challenges and opportunities
Serving society: forestry and people
New institutions, new governance
Our green future: green investment and growing our natural assets
Revised Tier 1 Carbon Stock Change Factors for Agroforestry: A Critical Step ...Remi CARDINAEL
CCAFS Webinar "Making trees count: Measurement, reporting and verification of agroforestry-based carbon", 25/06/2019.
Cardinael, R., Umulisa, V., Toudert, A., Olivier, A., Bockel, L., Bernoux, M., 2018. Revisiting IPCC Tier 1 coefficients for soil organic and biomass carbon storage in agroforestry systems. Environ. Res. Lett. 13, 1–20. doi:https://doi.org/10.1088/1748-9326/aaeb5f
This presentation was delivered at the third Asia-Pacific Forestry Week 2016, in Clark Freeport Zone, Philippines.
The five sub-thematic streams at APFW 2016 included:
Pathways to prosperity: Future trade and markets
Tackling climate change: challenges and opportunities
Serving society: forestry and people
New institutions, new governance
Our green future: green investment and growing our natural assets
Issues and Solutions for SFM in a Changing Climate in the AP regionCIFOR-ICRAF
This presentation was delivered at the third Asia-Pacific Forestry Week 2016, in Clark Freeport Zone, Philippines.
The five sub-thematic streams at APFW 2016 included:
Pathways to prosperity: Future trade and markets
Tackling climate change: challenges and opportunities
Serving society: forestry and people
New institutions, new governance
Our green future: green investment and growing our natural assets
CSCR Agriculture Track w/ Dave Wolfe: Weather or Not - Effects of Changing We...Sustainable Tompkins
Climate Smart & Climate Ready Conference Agriculture Track on April 19, 2013 at NYS Grange in Cortland, NY. Prof. Dave Wolfe, Cornell University. Weather or Not: Effects of Changing Weather on Local Agriculture. Farming Success in an Uncertain Climate.
Revised Tier 1 Carbon Stock Change Factors for Agroforestry: A Critical Step ...Remi CARDINAEL
CCAFS Webinar "Making trees count: Measurement, reporting and verification of agroforestry-based carbon", 25/06/2019.
Cardinael, R., Umulisa, V., Toudert, A., Olivier, A., Bockel, L., Bernoux, M., 2018. Revisiting IPCC Tier 1 coefficients for soil organic and biomass carbon storage in agroforestry systems. Environ. Res. Lett. 13, 1–20. doi:https://doi.org/10.1088/1748-9326/aaeb5f
This presentation was delivered at the third Asia-Pacific Forestry Week 2016, in Clark Freeport Zone, Philippines.
The five sub-thematic streams at APFW 2016 included:
Pathways to prosperity: Future trade and markets
Tackling climate change: challenges and opportunities
Serving society: forestry and people
New institutions, new governance
Our green future: green investment and growing our natural assets
Issues and Solutions for SFM in a Changing Climate in the AP regionCIFOR-ICRAF
This presentation was delivered at the third Asia-Pacific Forestry Week 2016, in Clark Freeport Zone, Philippines.
The five sub-thematic streams at APFW 2016 included:
Pathways to prosperity: Future trade and markets
Tackling climate change: challenges and opportunities
Serving society: forestry and people
New institutions, new governance
Our green future: green investment and growing our natural assets
CSCR Agriculture Track w/ Dave Wolfe: Weather or Not - Effects of Changing We...Sustainable Tompkins
Climate Smart & Climate Ready Conference Agriculture Track on April 19, 2013 at NYS Grange in Cortland, NY. Prof. Dave Wolfe, Cornell University. Weather or Not: Effects of Changing Weather on Local Agriculture. Farming Success in an Uncertain Climate.
Let us introduce ourselves
We are committed to offering signature wall coverings, fabrics, and interior accessories, providing affordable luxury and excellent service while keeping the customer at the heart of everything we do.
ORIGINAL QUALITY PRODUCTS
At Hevensent we care about quality and pride ourselves in creating superior wallpapers, fabrics and heritage pieces that will last a lifetime charming generation after generation. Our exacting standards are evident in all we do.
SUPPORT CHARITY THROUGH DESIGN
We work in partnership with our manufacturing teams to support charities with joint, matched donations for every purchase made. For every item sold by Hevensent, £2.00 is donated to Save the Children, bringing businesses together to support charity through design.
ENVIRONMENTAL VALUES
We are conscious about treating the environment with respect and care and always try where possible to use locally sourced materials and constantly review our working processes to find ways to limit our impact.
DESIGN & MANUFACTURE IN ENGLAND
We only design and manufacture in England. We strongly believe manufacturing locally is not only ethical and reduces impact, it supports small local businesses, employment and keeps heritage crafts alive. We have formed long-lasting partnerships with home-grown businesses.
Foundations Skills for University Learning 1 (FSUL) - Activity 3: Groupwork - PowerPoint Presentation. We were tasked with an activity to find sources online such as peer-reviewed articles, write three examples of in-text citation (using APA Style Referencing) and conduct a CRAAP test. We were then told to put these findings into a presentation and presented these findings to the class.
This is my first upload in order to get a feel of SlideShare and at least add something to my profile.
The Socio-Economic and Environmental Impacts of the Implementation of Carbon ...paperpublications3
Abstract: Carbon sequestration through forestry can help in the mitigation of global warming. For Africa, carbon sequestration also represents an opportunity to fund sustainable through financial inflows. However, with a low share of global carbon trade, there are strong concerns that African countries are losing out this valuable opportunity. Markets for environmental services have been growing in recent years wherein more and more people are willing to pay for benefits such as natural beauty, clean water, biodiversity etc. Carbon sequestration constitutes an important segment of this market. The study focused on the socio-economic and environmental impacts of carbon project implemented in Humbo district SNNPR, Ethiopia.
Assessment of Biomass Content and Oxygen Production from Tree of Subtropical ...ijtsrd
The accurate classification of tree species is critical for the management of forest ecosystems, particularly subtropical forests, which are highly diverse and complex ecosystems. While airborne Light Detection and Ranging LiDAR technology offers significant potential to estimate forest structural attributes, the capacity of this new tool to classify species is less well known. In this research, full waveform metrics were extracted by a voxel based composite waveform approach and examined with a Random Forests classifier to discriminate six subtropical tree species i.e., Masson pine Pinus massoniana Lamb. , Chinese fir Cunninghamia lanceolata Lamb. Hook. , Slash pines Pinus elliottii Engelm. , Sawtooth oak Quercus acutissima Carruth. and Chinese holly Ilex chinensis Sims. at three levels of discrimination. As part of the analysis, the optimal voxel size for modelling the composite waveforms was investigated, the most important predictor metrics for species classification assessed and the effect of scan angle on species discrimination examined. Results demonstrate that all tree species were classified with relatively high accuracy 68.6 for six classes, 75.8 for four main species and 86.2 for conifers and broadleaved trees . Full waveform metrics based on height of median energy, waveform distance and number of waveform peaks demonstrated high classification importance and were stable among various voxel sizes. The results also suggest that the voxel based approach can alleviate some of the issues associated with large scan angles. Dr. Mahima Chaurasia | Er. Nidhi Prasad | Dr. Sanjeev Kumar Srivastava | Dr. Siddhartha Shukla "Assessment of Biomass Content and Oxygen Production from Tree of Subtropical Area" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1 , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53842.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53842/assessment-of-biomass-content-and-oxygen-production-from-tree-of-subtropical-area/dr-mahima-chaurasia
Carbon-regulating sink-services of forests at riskCIFOR-ICRAF
Presentation by Risto Seppälä, Expert Panel on Adaptation of Forests to Climate Change
Boreal and temperate forest, Forest Day 3
Sunday, 13 December 2009
Copenhagen, Denmark
A MODEL TO ESTIMATE STORED CARBON IN THE UPLAND FORESTS OF THE WANGGU WATERSHEDAsramid Yasin
Abstract
Climate change coupled with deforestation has brought about an increase in greenhouse gas emissions in the
atmosphere. One way to control climate change is to reduce greenhouse gas emissions by maintaining the integrity
of natural forests and increasing the density of tree populations. This research aimed to (a) identifies the density
of stand trees in the upland forests of the Wanggu Watershed; (b) analyze the potential carbon stocks contained in
the upstream forests of the Wanggu Watershed; (c) develop a model to estimate potential carbon stocks in the
upland forests of the Wanggu Watershed. The land cover classification in this study used the guided classification
with the Object-Based Image algorithm. Normalized Difference Vegetation Index (NDVI) was employed as an
indicator of vegetation cover density. Field measurements were carried out by calculating the diameter of the stand
trees in 30 observation plots. Field biomass values were obtained through allometric equations. Regression analysis
was conducted to determine the correlation between NDVI densities and field biomass. The results showed that
the best equation for estimating potential carbon stocks in the Wanggu Watershed forest area was y = 3.48 (Exp.
7,435x), with an R2 of 50.2%. Potential above ground biomass carbon in the Wanggu Watershed based on NDVI
values was 414,043.26 tons in 2019, consist of protected forest areas of 279,070.15 tons and production forests of
134,973.11 tons. While total above biomass carbon based on field measurement reached 529,541.01 tons, consist
of protected forests of 419,197.82 tons and production forests of 110,343.20 tons.
www.docgreen.it - 3 capitolo del manuale *Urban and Periurban Forests. Management, monitoring and eco system services*.
Il manuale è stato concepito come un prodotto multimediale continuamente aperto ad aggiornamenti e arricchimenti. Rappresenta il risultato del lavoro di un équipe multidisciplinare che ha affrontato, da più punti di vista, il tema delle foreste urbane e periurbane, offrendo riflessioni, spunti e indicazioni tecnico/scientifiche in merito alla loro pianificazione, monitoraggio e manutenzione.
Per questo il manuale costituisce un utile strumento per tecnici, professionisti, amministratori coinvolti nella gestione del patrimonio verde urbano e periurbano.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Wood phenology, not carbon input, controls the interannual variability of tree growth in a temperate oak forest
1. 2nd ICOS Science Conference, 27-29 september 2016, Helsinki
Wood phenology, not carbon input,
controls the interannual variability of tree growth
in a temperate oak forest
Nicolas Delpierre, Daniel Berveiller, Elena Granda, Eric Dufrêne
New Phytologist (2016) 210: 459–470
2. Tree growth is constitutively dependent on C inputs
Strong growth / C inputs correlations inter-biomes
Litton et al., 2007 GCB
Vicca et al., 2012 Ecol. Lett.
Flux-growth correlations
inter-biome
ENF
DBF
EBF
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
3. Rocha et al., 2006 GCB
Granier et al.. 2008 AFS
Flux-growth correlations
inter-annual
Annual wood growth is
not systematically dependent on annual GPP / NPP
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
R² = 0.38
100
150
200
250
300
350
400
450
500
550
600
900 1100 1300 1500 1700
Annualwoodgrowth
(gC/m²/y)
GPP (gC/m²/y)
Hesse forest (FR-Hes)
4. Flux-growth correlations
seasonal scale
Delpierre et al., 2016, Annals of Forest Science
Wood growth is
a seasonal process
FR-Fon Oak forest
(2006-2015)
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
5. Objectives
• Assess the dependence of aerial wood growth on:
o Carbon inputs
(growth is source-limited)
o Wood tissues activity, modulated by environmental drivers
(growth is sink-limited)
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
6. FR-Fon research station
Fontainebleau-Barbeau forest (405 ha)
Sessile Oak (Quercus petraea) – 150 yr old
Hornbeam (Carpinus betulus)
Flux + growth measurements
2005 – ongoing
www.icos-cp.eu
FR-Fon
MAT=11.5°C
MAP= 657 mm
2015
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
7. Assessing stand wood growth
Vallet et al., 2006 FEM
Oak, FR-Fon
AWB= abv wood mass (kg C m-2)
V= volume (m3 m-2)
r=volumetric mass (kg C m-3)
r
dt
dV
dt
dAWB
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
8. Dhote, 1999 RFF
Oak, FR-Fon
Assessing stand wood growth
AWB= abv wood mass (kg C m-2)
V= volume (m3 m-2)
r=volumetric mass (kg C m-3)
r
dt
dV
dt
dAWB
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
9. GPP = 1931 NEP = 526
Does wood growth depend on C inputs ?
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
11. Does wood growth depend on C inputs ?
GPP (gC/m²/y) NEP (gC/m²/y)
annualAWG(gC/m²/y)
annualAWG(gC/m²/y)
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
12. Does wood growth depend on C inputs ?
see also Babst et al. 2014, New Phytol.
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
13. positive correlation negative correlationp-value>0.10
Does wood growth depend on C inputs ?
r²=0.41
p<0.05
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
14. Intrinsic determinants of wood growth
« critical periods » after
Le Maire et al., 2010 JGR
start halt
r-Pearson
(seasonal,annual)
critical period #1 halt date
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
15. Intrinsic determinants of wood growth
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
1 2
3
1 2 3
16. End date + growth
during CP1 explain 91%
of the IAV of wood
growth
Intrinsic determinants of wood growth
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
2
3
2 3
17. • Date of growth halt depends on SWC
See also Mund et al. (2010) Beech,
Lempereur et al. (2015) Holm Oak
soil water VPD
Intrinsic determinants of wood growth
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
2
18. soil water
@ constant VPD
VPD
@ constant SW
Intrinsic determinants of wood growth
• Date of growth halt depends on SWC
See also Mund et al. (2010) Beech,
Lempereur et al. (2015) Holm Oak
2
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
19. Growth during CP1
Not strongly
dependent on C fueling
Constrained by
water shortage
Intrinsic determinants of wood growth
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
3
GPP NEP
soil waterVPD
20. Wood growth more
sensitive to water
shortage than GPP
(see Hsiao et al., 1976)
Intrinsic determinants of wood growth
springsummer
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
21. Conclusions
• No dependence of annual wood growth on GPP / NEP
• Annual wood growth correlates with:
the date of growth halt
growth during a « critical period » (DoY 172-186)
• Clear dependence of wood growth on water shortage…
whilst GPP is not water-limited (mesic site)
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
22. « source-limitation »
« sink-limitation »
Analysis over 49 French forests,
941 site-years
Source-limitation dominates in
temperate conditions
Sink-limitation dominates in
montaineous / Mediterranean
conditions
Guillemot et al., 2015 Biogeosciences
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
23. Guillemot et al., in revision, New Phytol.
“Environmental control of carbon
allocation matters for modelling
forest growth“
Incorporating sink-limitation in the
CASTANEA process-based model reduced
wood growth RMSE by 20-50%
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
24. Thank you for your attention
www.barbeau.u-psud.fr
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
25.
26. See also:
• Mund et al. (2010) : Beech
• Lempereur et al. (2015): Holm Oak
Intrinsic determinants of wood growth
2nd ICOS Science Conference, 27-29 september 2016, Helsinki
27. Microcoring @ FR-Fon
Réunion d’information CATAENAT – 16/17 mars 2016, Dammarie-lès-Lys
WoodCap project
INRA-Nancy, Univ. Paris-sud, TU Dresde
28. Réunion d’information CATAENAT – 16/17 mars 2016, Dammarie-lès-Lys
Microcoring @ FR-Fon
WoodCap project
INRA-Nancy, Univ. Paris-sud, TU Dresde
29. Guillemot et al., in revision, New Phytol.
2nd ICOS Science Conference, 27-29 september 2016, Helsinki