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Could TReMs be relevant conservation forestry targets and/or biodiversity indicators ?

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(1)

Any correspondence concerning this service should be sent

to the repository administrator: tech-oatao@listes-diff.inp-toulouse.fr

This is an author’s version published in: http://oatao.univ-toulouse.fr/21762

To cite this version:

Bouget, Christophe and Larrieu, Laurent Could TReMs

be relevant conservation forestry targets and/or biodiversity indicators ? (2017) In: 2nd International Conference on

Forests, 26 April 2017 - 29 April 2017 (Neuschönau, Germany)

Open Archive Toulouse Archive Ouverte

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible

(2)

Could TReMs be relevant

conservation forestry targets

and/or biodiversity indicators ?

Forest Conservation 2

nd

Conference

Bavarian National Park, Neuschönau, 26-29/04/2017

(3)
(4)

TReMs and

biodiversity

(5)
(6)

What are Tree-Related Microhabitats (TReMs)?

© Emberger (Larrieu & Heinz)

(7)
(8)

e.g. many beetle

species depend on

TReMs !

TReMs host species-rich assemblages

Bouget et al., in prep.

h tt p ://fr is b e e .n o ge n t. ce m ag re f. fr / GG

227

193

45

435

749

86

0

500

1000

1500

2000

2500

3000

Cavicoly

Fungicoly

Succicoly

Microhabitat preferences

not

Primary choice

(second choice)

(9)

At stand scale,

the relationships between

TReMs and saproxylic beetle

diversity…

…are strongly

context-dependent

(10)

Saproxylic beetle species richness increases with the local amount

(11)

Key factors of saproxylic beetle diversity

10

In lowland deciduous forests, TReMs are significantly associated to

variations in species richness, but to a lesser extent than

deadwood or openness

0 300 km 0 300 km 6 5 1 4 3 7 2

sp

rare

common

sp

Oak

Abiotic

2

=Openness

1

=Openness

Deadwood

1

=Deadwood diversity

2

= Lying deadwood volume

3

= Large lying deadwood volume

4

= Deadwood diversity

TReMs

ns

5

=density fungus-bearing trees

6

=density cavity-bearing trees

Beech

Abiotic

ns

1

=Openness

Deadwood

ns

2

=Deadwood diversity

TReMs

1

=density fungus-bearing

trees

3

=density crown-deadwood-

bearing trees

(12)

In highland forests some relationships between TReM

density and saproxylic beetle diversity depend on stand

openness

11

Openness < 20%

Openness > 20%

Cavity-bearing trees / ha

Spe

ci

es

ri

chn

es

s

Réponse des coléoptères saproxyliques à la densité de cavités

-

/sapinières de montagne

(13)

In highland forests TReM diversity only slightly

correlates with saproxylic beetle assemblage

structure

Mean trait

CWM

Functional

Dispersion FDis

Sp. richness

Abundance

Body Size

ns

ns

Canopy prefer.

ns

ns

Decay prefer.

Diameter prefer.

ns

Low-dispersal

ns

ns

High-dispersal

ns

ns

Cavicolous

ns

ns

Fungicolous

ns

ns

2

(14)

Why are

TReM-biodiversity relationships

so weak at stand scale in

ecological studies?

3

1

3

4

(15)

1. TReM metrics

– TReM values are too low in managed forests?

– Values below ecological thesholds ?

– Bad biodiversity sampling ?

• Analysis of the response pf TReM-associated organisms

only

• sampling methods dedicated to TReM-associated

organisms

– Bad TReM sampling ?

(16)

TR

eM

den

si

ty

TR

eM

di

ver

si

ty

Sap

r

u

n

d

en

si

ty

Fu

ngus

den

si

ty

Ca

vity

den

si

ty

Cr

own

D

W

den

si

ty

Harvested

Unharv.

Harvested

Unharv.

Harvested

Unharv.

Trem density and diversity are affected by forestry

3

(17)

Beech–oak coppice-with-standards stands

24 forests, France

After forestry abandonment, TreM stock recovery needs decades

3

(18)
(19)

TReM effects increase withTReM values

TReM density and diversity are

higher

in and around veteran

trees

outside

than

inside

forests

Veteran tree scale

P arma in & Bou ge t, 20 17

0.13ha-scale

1ha-scale

3

(20)

The effects of TReM metrics on sx beetle diversity are

stronger outside

than

inside

forests!

Parmain & Bouget, 2017

(21)

2. TReM sampling

– Low TReM values in managed forests ?

– Irrelevant TReM sampling ?

– Bad biodiversity sampling ?

• Analysis of the response pf TReM-associated organisms

only

• Sampling methods dedicated to TReM-associated

organisms

• Multi-taxon approaches

(22)

Facing low TReM detectability…

…by the use of proxies?

Environmental variables

Density very large trees dbh>70cm

Taxa (Composition)

Density of living

microhabitat-bearing trees

Sx beetles

Bryophytes

Lichens

Birds

Hoverflies

Fungi

p<0.001 p<0.05

Bats

487 plots in 19 areas

Larrieu et al., in prep.

(23)

3. Biodiversity metrics

– Low TReM values in managed forests ?

– Irrelevant biodiversity metrics ?

• Diversity of TReM-associated taxa only vs overall

diversity

• sampling methods dedicated to TReM-associated

organisms

– Bad TReM sampling ?

(24)

TReM are fostered by extended rotation…

Only TReM-associated (and not all sx) taxa correlate to TReM rise

SEM path diagram (glmm) Percel et al. in prep.

Extended rotation (50 yrs)

(25)

3. Biodiversity metrics

– Low TReM values in managed forests ?

– Irrelevant biodiversity metrics ?

• Saproxylic beetles only

vs

Multi-taxon approaches

• sampling methods dedicated to TReM-associated

organisms

– Bad TReM sampling ?

(26)

Monitoring more taxa

-->

more TReM-biodiversity

relationships…sometimes difficult to interpret

Environmental variables (1ha-plot)

Sp richness/composition

Density of cavity-bearing trees

Density of missing-bark-bearing trees

Density of fungus-bearing trees

Density of epiphyte-bearing trees

Diversity of TreM types

Density of TreM-bearing trees

Bryophytes

Bats

Birds

Hoverflies

Fungi

Effect +

p<0.001

p<0.05

Sx beetles

Lichens

Larrieu et al., in prep.

487 plots in 19 French forest areas

composition

Effect -

p<0.001

p<0.05

(27)

4. Biodiversity sampling

– Low TReM values in managed forests ?

– Irrelevant biodiversity sampling ?

• Analysis of the response pf TReM-associated organisms

only

• Freely hanging flight interception traps

vs

Sampling methods explicitly dedicated to

TReM-associated taxa

– Bad TReM sampling ?

(28)

Sporocarp-associated beetle sampling

Best model ; Rose & Bouget in prep.

Positive effects of

aggregation of

suitable

microhabitats

Specific emergence traps

Nb sporocarps/tree >> Nb fungus-bearing trees/0.3ha

(29)

4

(30)

• At the stand scale : TReM effects on biodiversity

– Low significance, magnitude and consistency

• Role of finer-scale connectivity effects (tree scale)

• Importance of :

• taxon sampling method adequation

• TReM sampling improvements

• …Further research required to inspire quantitative

management guidelines…

(31)

Acknowledgements

Our PhD students

Aurore Lassauce

Gwendoline Percel

Guillem Parmain

Philippe Janssen

…and technicians

Carl Moliard

Benoit Nusillard

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