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Influence of farming system on ground beetle communities at local and landscape scales

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HAL Id: hal-01458651

https://hal.archives-ouvertes.fr/hal-01458651

Submitted on 3 Jun 2020

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Influence of farming system on ground beetle communities at local and landscape scales

Maud Belhache, El Aziz Djoudi, Stéphanie Aviron, Julien Pétillon, Manuel Plantegenest

To cite this version:

Maud Belhache, El Aziz Djoudi, Stéphanie Aviron, Julien Pétillon, Manuel Plantegenest. Influence

of farming system on ground beetle communities at local and landscape scales. 17th European Cara-

bidologists Meeting, Sep 2015, Primosten, Croatia. 48 p. �hal-01458651�

(2)

UMR 1349 INRA-Agrocampus Ouest-Université Rennes, IGEPP Maud Belhache, El Aziz Djoudi, Stéphanie Aviron,

Influence of farming system on ground beetle

communities at local and landscape scales

(3)

Context

 Needs for more sustainable and healthy agricultural systems

 Development of Organic farming

 based on ecological processes

 no petrochemical fertilizers and pesticides used

(4)

Context

 Needs for more sustainable and healthy agricultural systems

 Development of Organic farming

 based on ecological processes

 no petrochemical fertilizers and pesticides used

Beneficial effect on the abundance and species richness

of ground beetle communities.

(5)

Context

 Needs for more sustainable and healthy agricultural systems

 Development of Organic farming

 based on ecological processes

 no petrochemical fertilizers and pesticides used

Beneficial effect on the abundance and species richness

of ground beetle communities.

How does organic farming affect ground beetle

communities at local and landscape scales ?

(6)

Context

Organic farming Conventional farming

Abundance Species richness

+ -

Differences in abundances and species composition (richness)

(7)

Context

Environmental characteristics Resources

Constraints

Differences in species abundances and composition

Reproduction Survival

Differences in abundances and species composition (richness) local scale processes

Organic farming Conventional farming

(8)

Context

Organic farming Conventional farming

Marginal areas

Immigration process Differences in attractivity

Differences in abundances and species composition (richness)

landscape scale processes

(9)

Context

Differences in abundances and species composition (richness)

landscape scale processes : coexistence of the two systems

(10)

Context

Influence of the proportion of organic farming at landscape scale ?

Differences in abundances and species composition (richness)

landscape scale processes : Source/Sink dynamics ?

(11)

 Contrasting assemblages in organic vs conventional farming habitat characteristics differ between systems

 Contrasting emerging vs circulating communities local vs landscape contribution

 Assessing landscape influence on local communities

source/sink dynamics

Goal and hypotheses

How does organic farming affect ground beetle communities

at local and landscape scales ?

(12)

 Study site

Selection of :

 10 landscapes in Brittany 20 wheat fields

 10 under organic farming

 10 under conventional farming

Method

(13)

 Experimental device

 In each sampled field :

 3 emergence arenas including two pitfall traps  1 pitfall trap located in the vicinity of each

emergence arena

 Samples collection every 2 weeks (april-may 2015). Pitfall trap Emergence arena

Method

(14)

Higher abundances in OF :  attractive effect ?

 differences in mortality rates ?

N.S : nonsignificant difference ; * : P<0.05 green : OF and red: CF

N.S

*

Results : Local scale

 Abundances

(15)

N.S

N.S

N.S : nonsignificant difference ; * : P<0.05 green : OF and red: CF

 Species richness

Total = 44 species

Results : Local scale

 Similar species richness in the two systems.

(16)

N.S : nonsignificant difference ; * : P<0.05 green : OF and red: CF

N.S

N.S

 Species richness

Total = 44 species

Results : Local scale

 Similar species richness between the two systems.

 Variation in communities composition.

(17)

N.S : nonsignificant difference ; * : P<0.05 green : OF and red: CF

N.S

N.S

 Species richness

Total = 44 species

Results : Local scale

 Similar species richness between the two systems.

 Variation in communities composition.

(18)

N.S : nonsignificant difference ; * : P<0.05 green : OF and red: CF

N.S

N.S

 Species richness

Total = 44 species

Results : Local scale

 Similar species richness between the two systems.

 Variation in communities composition.

(19)

N.S : nonsignificant difference ; * : P<0.05 green : OF and red: CF

 Similar species richness between the two systems.

 Variation in communities composition.

N.S

N.S

 Species richness

Total = 44 species

Results : Local scale

(20)

N.S : nonsignificant difference ; * : P<0.05 green : OF and red: CF

 Similar species richness between the two systems.

 Majority of species are present in the two systems.

N.S

N.S

 Species richness

Total = 44 species

Results : Local scale

(21)

PCA : species proportions captured in both trap types during the entire sampling period.

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Pr in cip al co m po ne nt 2 (1 1. 16 % )

OF

CF A

Pt

Pr in ci pal c omp on en t 2 (11. 16%)

Results : Local scale

(22)

Axe 1 & 2 :

organic and conventional communities differ OF

OF

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

OF CF

A

Princ ipa l c ompo ne nt 2 (11.16% ) Pt

Results : Local scale

CF

CF

(23)

 Specific composition of ground beetle communities

Results : Local scale

Principal component 1 (12.03%)

Princ ipa l c ompo ne nt 2 (11.16% )

Axe 2 :

circulating and emerging communities differ

A OF

CF Pt

Arenas

Pitfall

traps

(24)

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

OF CF

A

Pt

Results : Local scale

(25)

CF

OF Organic farming :

- Rich vegetation cover

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Results : Local scale

(26)

Organic farming :

- Rich vegetation cover phytophagous

CF

OF

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Results : Local scale

(27)

Organic farming :

- Rich vegetation cover phytophagous - Genus Amara

genus Brachinus CF

OF

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Results : Local scale

(28)

CF

OF Conventional farming : - less diverse resources

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Results : Local scale

(29)

Conventional farming : - less diverse resources collembola

slugs aphids CF

OF

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Results : Local scale

(30)

CF

OF

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Conventional farming : - less diverse resources collembola

slugs aphids

Results : Local scale

(31)

CF

OF

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Conventional farming : - less diverse resources collembola

slugs aphids

Results : Local scale

(32)

CF

OF

 Specific composition of ground beetle communities

Principal component 1 (12.03%)

Prin cip al c omp on en t 2 (1 1.1 6% )

Conventional farming : - less diverse resources collembola

slugs aphids

Results : Local scale

(33)

Cartography :

 Buffer of 500m around fields

 Information on crops management

OF gradient in the surroundings of sampling fields.

 Method

Landscape scale

(34)

 Influence of OF percentage in the landscape

Increasing the percentage of organic farming in the landscape : - abundance of circulating communities in CF

- abundance of circulating phytophagous species in CF

R²=0.29

R²=0.71

Results : Landscape scale

Total abundances in CF fields Abundances of phytophagous species

in CF fields

(35)

 Differences in species composition : - OF : phytophagous species

- CF : collembola eaters

Communities structure driven by resources availability.

Conclusions

(36)

 Differences in species composition : - OF : phytophagous species

- CF : collembola eaters

Communities structure driven by resources availability.

Organic farming

Conventional farming

Conclusions

(37)

 Differences in species composition : - OF : phytophagous species

- CF : collembola eaters

Communities structure driven by resources availability.

 Abundances in circulating communities > in OF.

 Slight differences in abundances in emerging communities.

 Differences between circulating & emerging communities in OF.

OF acts as a sink  attractiveness of crops

Organic farming

Conventional farming

Conclusions

(38)

 Differences in species composition : - OF : phytophagous species

- CF : collembola eaters

Communities structure driven by resources availability.

 Abundances in circulating communities > in OF.

 Slight differences in abundances in emerging communities.

 Differences between circulating & emerging communities in OF.

OF acts as a sink  attractiveness of crops

 Abundances increase in circulating communities in CF in relation with the augmentation of OF percentage in the landscape.

OF acts as a source  dispersion/dynamics at landscape scale

Organic farming

Conventional farming

Conclusions

(39)

Interactions between systems

To go further ...

(40)

Interactions between systems

Isotopic tool identifying and quantifying migrant flows

To go further ...

(41)

Interactions between systems

Isotopic tool identifying and quantifying migrant flows

 Changes in soil’s isotopic labelling :

 differences in fertilization methods

 differences in organic matter origin

To go further ...

(42)

Interactions between systems

Isotopic tool identifying and quantifying migrant flows

 Changes in soil’s isotopic labelling :

 differences in fertilization methods

 differences in organic matter origin

 Isotopic labelling transmission from soils to ground beetle ?

To go further ...

(43)

4 5 6 7 8

6 7 8 9

Metallina lampros

R²=0,6

 Isotopic labelling of emerging individuals

d15N (‰ ) M_ lam

d15N (‰) soil

First results : Isotopic labelling

4,5 m m

-28 -27 -26 -25

-2 8 -2 6 -2 4

Anchomenus dorsalis

R²=0,

9 m m

d13C (‰ ) A_ dor

d13C (‰) soil

Metallina lampros Anchomenus dorsalis

(44)

 First conclusions

 Coherence soil / ground beetle isotopic labelling

confirms usefulness of the method

 High intrascpecific variability  no individual assignment

Isotopic labelling

(45)

 First conclusions

 Coherence soil / ground beetle isotopic labelling

confirms usefulness of the method

 High intrascpecific variability  no individual assignment

 The method allows the evaluation of the contribution at populational scale.

importance and temporality exchanges between both farming systems.

Isotopic labelling

(46)

Organic farming :

- sink in spring  attractiveness of crops

- source at farm scale  management and type of marginal areas - source at the scale of multiannual dynamics

Prospects

(47)

Organic farming :

- sink in spring  attractiveness of crops

- source at farm scale  management and type of marginal areas - source at the scale of multiannual dynamics

 Take into account:

 landscape features associated with farming systems

 temporal variability of habitats to assess :

 relative contribution of farming systems for auxiliary production

 exchanges of migrants between farming systems and thus quantify their influence in terms of biological control.

Prospects

(48)

Organic farming :

- sink in spring  attractiveness of crops

- source at farm scale  management and type of marginal areas - source at the scale of multiannual dynamics

 Take into account:

 landscape features associated with farming systems

 temporal variability of habitats to assess :

 relative contribution of farming systems for auxiliary production

 exchanges of migrants between farming systems and thus quantify their influence in terms of biological control.

 Utilization of isotopic tool to characterize the migrant flows between farming systems.

Prospects

(49)

Thank you for your attention.

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