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Beech phenology and productivity at the Vielsalm Terrestrial Observatory

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Academic year: 2021

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(1)

Figur

es

Ma

terial & Me

thod

• A median smoothing of daily Net Ecosystem Productivity (NEPs)

(eddy covariance measurements).

SCUP: Start of the carbon uptake

ECUP: End of the carbon uptake

LCUP: Length of the carbon uptake

• A median smoothing of light

trans-missivity (RLT) through the canopy

(8 sensors under the canopy).

S80% : Start of the leaf out period

S20% : End of the leaf out period

S20% - S80% : Leaf out duration

Phenological indicators derived from

B

EECH

PHENOLOGY

AND

PRODUCTIVITY

AT

THE

VIELSALM

TERRESTRIAL

OBSERVATORY

Quentin Hurdebise

(1)

, Caroline Vincke

(2)

, Anne De Ligne

(1)

and Marc Aubinet

(1)

(1) Université de Liège, Gembloux Agro-Bio Tech, TERRA Teaching and Research Centre, Belgium (2) Université catholique de Louvain, Earth and Life Institute, Forest Sciences, Belgium

In

tr

oduction

• Understanding how temperate forests react and will react in a changing environment requires long-term monitoring of both forest productivity and phenology as well as of climate variables.

• Determination of phenological and productivity indicators.

• Relations between indicators and between indicators and climate.

Context

Content

Sit

e descrip

tion

• ICOS candidate eddy covariance site located in a

temperate mixed forest (beech, spruce, Douglas and silver fir) in East Belgium (alt. ~ 470m).

• Only the wind sector dominated by beech was considered (180 to 330°N).

• 17 years (from 1998 to 2014 except 2009) of gapfilled data were used. In early 2009, there was a tower change and no data were collected.

The Vielsalm Terrestrial Observatory

Fund

ing

• This research was funded by the

“Service Public de Wallonie”

(Convention 1217769).

Productivity indicators derived from

• Gapfilling and summation of half-hourly Net Ecosystem Productivity (eddy covariance measurements from the site)

• Double de-trended tree ring width series (Growth Index) (cores in 24 dominant beeches from the site)

• Seed production (Masting intensity)

(records for Wallonia (“Comptoir Forestier Wallon”))

Highligh

ts

• Temperature strongly explained the leaf out beginning (S80%) and duration (S20% - S80%).

• Phenological indicators obtained from different datasets are significantly related (S20% and SCUP).

• Carbon uptake period length and Net Ecosystem Productivity at light saturation explain almost two third of the variability observed in beech annual Net Ecosystem Productivity.

• There is a significant relation between the carbon net assimilation of the stand and the tree ring increment for a given year, but not with the masting intensity. This underlines the role of the carbon allocation regulation system.

R

esults

(Numbers refer to the Figures below)

1. The start of the leaf out period (S80%) is significantly related to,

SF*, the day of the year when the sum of above zero daily

temperature from the 1st April reached F* (202 °C . Day).

2. The leaf out duration (S20% - S80%) is shorter if the temperature

during the leaf out period (Tair) is higher.

3. The start of the carbon uptake (SCUP) is significantly related to the

end of leaf out period (S20%), but not to S80% (not presented).

4. The beech annual NEP (NEPy) is significantly related to length of

the carbon uptake period (LCUP).

5. The residuals of this relation (NEPy,res) are related to NEP1500, the

value of the NEP at 1500 µmol/(m².s), obtained from the modelled light response curve during the vegetation period.

6. A model (NEPmod) combining these two parameters (LCUP and

NEP1500) explains two third of the variability observed in NEPy.

7. The beech stand annual Net Ecosystem Productivity (NEPy) is

significantly correlated to the growth index of the trees.

8. The more intense the masting of a current year is, the lower the

growth index is. NEPy was less sensitive to the masting intensity

and only lower for the most intense masting events (++++).

Phenological indicators

Contact: quentin.hurdebise@ulg.ac.be

NEP interannual variability

Productivity indicators

1 2 3 7

4 5 6 9

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