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Multi-scale studies of the relationships between cropping

structure and pest and disease regulation services

Cynthia Gidoin, Regis Babin, Leïla Bagny-Beilhe, Corentin Barbu, Marie

Gosme, Marie-Helene Jeuffroy, Marie Ange Ngo Bieng, Muriel

Valentin-Morison, Gerben Martijn ten Hoopen

To cite this version:

Cynthia Gidoin, Regis Babin, Leïla Bagny-Beilhe, Corentin Barbu, Marie Gosme, et al.. Multi-scale

studies of the relationships between cropping structure and pest and disease regulation services. 5.

International Symposium for Farming Systems Design : FSD5, European Society for Agronomy (ESA

international). FRA. Agropolis International., Sep 2015, Montpellier, France. pp.443-444.

�hal-02740833�

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5th International Symposium for Farming Systems Design 7-10 September 2015, Montpellier, France

________________________________________________________________________________________________________________________

Multi-scale studies of the relationships between cropping structure and pest and

disease regulation services.

Cynthia Gidoin ∗ ±1, Régis Babin 2,3, Leïla Bagny Beilhé 2,4, Corentin Barbu 1, Marie Gosme 5, Marie-Hélène Jeuffroy 1, Marie-Ange Ngo Bieng 6, Muriel Valantin-Morison 1 & Gerben Martijn ten Hoopen 2,4

1 UMR Agronomie, INRA-AgroParisTech, Thiverval-Grignon, France. 2 UPR Bioagresseurs, CIRAD, Montpellier, France.

3 Plant Health Division, icipe, Nairobi, Kenya.

4 Regional Center Nkolbisson, IRAD, Yaoundé, Cameroon. 5 UMR System, INRA, Montpellier, France.

6 UMR System, CIRAD, Montpellier, France.

Speaker

±

Corresponding author: Cynthia.Gidoin@grignon.inra.fr

1 Introduction

Farmers need to regulate numerous pests on each of their crops, using as little pesticide as possible. Several practices can be used to reach this target, yet most of them focus on a single pest. Some control practices implemented for one pest, however, can have antagonistic effects on the development of another pest. Today, with the will to decrease pesticide use while increasing production, studies must take into account the diversity of pests and must focus on tradeoffs in their regulations.

The concept of agroecology proposes to use natural ecological mechanisms in agroecosystems. Plant diversity impacts pest regulation services through biological mechanisms and physical mechanisms. Biological mechanisms typically depend on the species composition of the communities of crop and associated plant. Physical mechanisms typically depend on the spatial structure of crop and associated plant (Schroth et al., 2000). These mechanisms are both supported by empirical research and epidemiological models, yet their relative importance and independent effects are not well known. In the present study, our aim was to assess the relative importance and the independent effects of plant communities’ composition and spatial structure on pest communities in tropical and temperate areas. Here we postulate that i) crop composition, sensitive host tissue amount and crop spatial configuration impact pest presence through resource availability and accessibility, ii) associated plant composition and spatial configuration impact pest presence by providing other resources or shelters and through microclimatic variations. The scale necessary to observe such mechanisms would depend on the scale necessary to observe a given level of diversity. In tropical areas, many species can be found in association within small plots, while in simplified temperate agroecosystem a much larger scale would be needed to observe a similar diversity. We first investigate biological and physical effects of biodiversity observationally on tropical agroecosystems in cameroon and second assess through modelling if such mechanisms could be of importance in temperate agroecosystems at a much larger scale.

2 Materials and Methods

In the center region of Cameroon, we did field measures and point pattern analysis in 20 cacao-based agroforest plots (50 x 50 m) to evaluate the impact of plant composition and spatial structure on mirid and black pod regulation, i.e. a pest and a disease of cacao (Gidoin et al., 2014). For the temperate region, numerical simulations with population dynamic models were used to study the potential impact of landscape (5000 x 5000 m) composition and configuration on the pollen beetles and phoma stem canker dynamics, i.e. a pest and a disease of oilseed rape. Two models were used: i) Mosaïc-Pest (Vinatier et al., 2012) to study the spatio-temporal dynamics of Meligethes aeneus, and ii) SIPPOM-WOSR (Lô-Pelzer et al., 2010) to study the spatio-temporal dynamics of stem canker. Finally, we used hierarchical partitioning to quantify the observed or simulated impact of plant structure variables on i) mirid density and black pod prevalence at the plot scale and ii) pollen beetle density and phoma stem canker severity at the landscape scale.

3 Results – Discussion

At the plot scale, in cacao-based agroforests, we found mirid density to linearly increase with sensitive host tissue amount. This relationship explained 18.9 % of mirid density variance independently of the other variables (Fig. 1). On the contrary, host (cacao tree) abundance had a negative relationship with black pod prevalence and explained 20.3% of the variance independently of the other variables (Fig. 1). This was not coherent with the dilution hypothesis (Keesing et al., 2006) as a decrease in host abundance did not correspond to a decrease in disease infection. In addition, the rarely studied horizontal structure of forest trees explained 14.5% of mirid density variance independently of the other variables. Finally, mirid density was lower in plots with aggregated forest trees than in plots with low forest tree density

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5th International Symposium for Farming Systems Design 7-10 September 2015, Montpellier, France

________________________________________________________________________________________________________________________

and it was even lower in plots with forest trees distributed randomly. This is coherent with the known aggregation of mirids on cacao trees that are exposed to direct sun light, a situation favored when high forest trees are aggregated (Babin et al., 2010). Interestingly, mirid density and black pod prevalence were impacted by different features of the biodiversity, respectively spatial aggregation of forest trees and host relative abundance. This opens perspectives in reducing mirid density through forest tree spatial structure optimization without increase in black pod prevalence.

At the landscape scale, in temperate areas, the first results showed that crop rotation (2 or 10 years, i.e. proportion of oilseed rape was about 50% or 10% in the landscape each year) would have a major effect on pollen beetle explaining 86.6% of pollen beetle density variance independently of the other variables tested, i.e. trap crop (present or absent) and the forest proportion (less than 3% or more than 25%, which is a wintering site for pollen beetles). This result emphasizes the importance of hosts composition and is consistent with the dilution hypothesis: an increase in rotation length leads to a decrease in oilseed rape proportion and thus a decrease in resource availability for pollen beetles. As changing the crops composition might comes with a very high cost for the farmer, it is important to assess the potential of spatial structure modifications. Aggregation of colza fields has been shown to decrease stem canker severity (Lô-Pelzer et al., 2010). A broader factorial simulation plan is currently designed to test the impact of structural aggregation jointly on pollen beetle density and phoma stem canker severity (with SIPPOM-WOSR).

4 Conclusions

Based on our observations and modelling results, we showed that the dilution of pest resources acts on pest infestation but potentially in opposite directions for black rot on cacao tree in tropical areas and pollen beetles on oil seed rape in temperate areas. Other plant communities’ structure variables can affect the pest regulation service and at least in the specific case of black rot and mirid on cacao tree could be used to optimize natural regulations. The impact of plant structures on oil seed rape is still under study but the great diversity of observed relationships between plant diversity and pests natural control suggests that general rules can not be used to guide agronomical practices. In consequence, future research should aim to model the specific characteristics of the main pests of an agrosystem to predict the effect of composition and spatial structures at the relevant scale (Gosme et al., 2013).

References

Babin, R., Hoopen, G.M.T., Cilas, C., Enjalric, F., Yede, Gendre, P. & Lumaret, J.P. (2010). Impact of shade on the spatial distribution of

Sahlbergella singularis in traditional cocoa agroforests. Agricultural and forest entomology, 12, 69-79.

Gidoin, C., Babin, R., Bagny Beilhe, L., Cilas, C., ten Hoopen, G.M. & Ngo Bieng, M.A. (2014) Tree Spatial Structure, Host Composition and Resource Availability Influence Mirid Density or Black Pod Prevalence in Cacao Agroforests in Cameroon. PLoS ONE 9(10): e109405.

Gosme, M., Vinatier, F., Valantin-Morison, M. & Jeuffroy, M.H. (2013). PODYAM: a modeling framework for simulating population dynamics in agricultural mosaics. Presented at the 11th International Epidemiology Workshop, Beijing, China.

Keesing, F., Holt, R.D. & Ostfeld, R.S. (2006) Effects of species diversity on disease risk. Ecology letters, 9, 485-498.

Lô-Pelzer, E., Bousset, L., Jeuffroy, M.H., Salam, M.U., Pinochet, X., Boillot, M. & Aubertot, J.N. (2010). SIPPOM-WOSR: A simulator for Integrated Pathogen Population Management of phoma stem canker on Winter OilSeed Rape. I. Description of the model. Field Crops Research,

118, 73-81.

Schroth, G., Krauss, U., Gasparotto, L., Aguilar, J.A.D. & Vohland, K. (2000). Pests and diseases in agroforestry systems of the humid tropics.

Agroforestry Systems, 50, 199–241.

Vinatier, F., Gosme, M. & Valantin-Morison, M. (2012). A tool for testing integrated pest management strategies on a tritrophic system involving pollen beetle, its parasitoid and oilseed rape at the landscape scale. Landscape Ecology, 27, 1421-1433.

Fig. 1. Results of the hierarchical partitioning analyses: independent contributions of host composition (AbCa:

cacao tree abundance, Dca: cacao tree density, Alter: presence/absence of alternative hosts), sensitive host tissues (Prod: amount of pods, Flush: new leaves presence) and shade tree spatial structure variables (Dsha: shade tree

density, Inter: proportion of shade trees in the intermediate stratum, HSFo: horizontal structure of forest trees, HSFu: horizontal structure of fruit trees) on A) mirid density and B) black pod prevalence. *Significant

contributions (Z-score value).

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Multi-scale studies of the relationships between

cropping structure and pest and disease regulation services

Cynthia(Gidoin(

Postdoctoral(posi2on(

in(UMR(Agronomie(

Cynthia.Gidoin@grignon.inra.fr((

(

Ngo Bieng, M.A., Babin, R.,

ten Hoopen, M., Bagny Beilhe, L.

9(September(2015((

5th$Interna*onal$Symposium$$

for$Farming$System$Design$

Barbu, C., Gosme, M.,

(5)

Nowadays,$studies$must$take$into$account$the$whole$diversity$of$pests$and$

focus$on$tradeoffs$in$their$regula*on$

Heavy$shading$may(reduce(mirid(aEacks(but(

could(at(the(same(2me(increase(black$pod$rot.(

Three observations form the basis of this work :

Farmers$need$to$regulate$numerous$pests,(however,(control(prac2ces(for(one(pest(can(

some2mes(have(an(opposite(effect(on(the(development(of(another(pest.((

1

(6)

Ratnadass(et(al.,(2012(;(Malezieux(et(al.,(2012(

The$large$number$of$mechanisms$linking$plant$diversity$to$pest$dynamics$can$

help$us$to$op*mize$tradeoffs$in$pest$regula*on$

Plant$diversity$impacts$pest$regula*on$services$through(several((

biological(and(physical(mechanisms((

2

Three observations form the basis of this work :

Crop$composi*on$effect:$$

A(reduc2on(in(host(abundance(decreases(the(infesta2on(of(pests(due(to(resource(dilu2on

$ $

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Regular(distance(between(hosts(reduces(the(spread(of(pests((

(

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their(ecological(preferences(

$

Tree$configura*on$effect:$$

The(spa2al(structure(of(trees(impacts(the(mean(and(the(variance(of(microclima2c(

condi2ons(and(can(therefore(impact(pest(dynamics(

3(

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Plot$

scale$

Larger$

scale$

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We$must$adapt$the$spa*al$scale$of$analyses$to$the$scale$necessary$to$observe$a$

given$level$of$heterogeneity$in$the$environment$

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Turner(and(Gardner,(1991(

3

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(8)

Taking$into$account$the$structure$of$a$landscape,$can$we$improve$the$regual*on$

tradeoffs$between$several$pests$subject$to$management$antagonisms?$

The question :

Three observations form the basis of this work :

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5(

We$must$adapt$the$spa*al$scale$of$analyses$to$the$scale$necessary$to$observe$a$

given$level$of$heterogeneity$in$the$environment$

(9)

Crop$abundance$

Crop$configura*on$

Tree$abundance$

Tree$configura*on$

Hierarchical

partitionning

Xi

collinearity

Y

High$

Low$

Regular(

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Clustered(

S(

Low(

Low(

Regular$

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Regular(

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Low/High(

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Tropical$/$small$scale( Temperate$/$large$scale(

1/4(ha(

400(ha(

Cases studied and methodology

Black$pod$

Pollen$beetles$

Phoma$

Parasitoïd$

Mirids$

Methodology$

Empirical$data$

Numerical$simula*ons$

(10)

Results and discussion of the tropical study

Crop$composi*on$

Cacao$tree$rela*ve$abundance$

Crop$configura*on$

Cacao$tree$spa*al$structure$

Tree$composi*on$

Shade$trees$rela*ve$abundance$

Tree$configura*on$

Forest$trees$configura*on$

Mirids$

Black$pod$

Xi

collinearity

Y

*$

*$

*$

0(

20(

0(

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Independent(contribu2on((%)(

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Random$

Spa*al$structure$of$forest$trees$

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(log)(

0(

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a$

ab$

b$

Results and discussion of the tropical study

1S(Homogeneous(shade(reduces(mirid(density(

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ab$

b$

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Black$pod$prevalence$$

(sqrt)(

a$

a$

a$

Results and discussion of the tropical study

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(13)

Results and discussion of the tropical study

0(

80(%(

90(%(

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Cacao$tree$rela*ve$abundance$

Black$pod$prevalence$

(sqrt)(

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Results and discussion of the tropical study

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Cacao$tree$rela*ve$abundance$

5(

Black$pod$prevalence$

(sqrt)(

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Clustered$

Pollen$beetles$

Phoma$

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*$

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0(

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73$%$

79$%$

56$%$

Crop$composi*on$

Oilseed$rape$propor*on$

Crop$configura*on$

Oilseed$rape$alloca*on$

Tree$composi*on$

Forest$propor*on$

Tree$configura*on$

Forest$configura*on$

Xi

collinearity

Y

Hierarchical

partitionning

Results and discussion of the temperate study

(16)

Clustered(

Regular(

Crop$configura*on$:$Oilseed$rape$alloca*on$

3$ind./host

((log)(

7.2$spores/host$

(

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a$

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t= 1 0 500 1000 1500 2000 − 2000 − 1500 − 1000 − 500 0 lev1.typeculture autre1_conv autre2_conv colza1_conv foret1_HSN non_cultivable_HSN prairie1_HSN vide_HSN t= 1 0 500 1000 1500 2000 − 2000 − 1500 − 1000 − 500 0 lev1.typeculture autre1_conv autre2_conv colza1_conv foret1_HSN non_cultivable_HSN prairie1_HSN vide_HSN

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(17)

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(18)

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composi*on$

Clustered$crop$$

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Low$tree$$

composi*on$

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Mirids$

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Xi

Y

0(

20(

0(

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General discussion and conclusion

38$%$

50$%$

73$%$

79$%$

Hierarchical partitionning

Cacao$abundance$

WOSR$propor*on$

Cacao$tree$SS$

WOSR$propor*on$

Tree$abundance$

Forest$propor*on$

Forest$tree$SS$

Forest$SS$

S  The(op2miza2on(of(landscape(structure(can(improve(the(tradeoff(

S  The(great(diversity(of(mechanisms(suggests(that(general(rules(can(not(be(used.(

S  (An(analy2cal(framework(effec2ve(to(iden2fy(tradeoffs(

$

15(

(19)

Multi-scale studies of the relationships between

cropping structure and pest and disease regulation services

Cynthia(Gidoin(

Postdoctoral(posi2on(

in(UMR(Agronomie(

Cynthia.Gidoin@grignon.inra.fr((

(

Ngo Bieng, M.A., Babin, R.,

ten Hoopen, M., Bagny Beilhe, L.

9(September(2015((

5th$Interna*onal$Symposium$$

for$Farming$System$Design$

Barbu, C., Gosme, M.,

(20)
(21)

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Intermediate$

Random$

Spa*al$structure$of$cacao$trees$

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a$

ab$

b$

a$

a$

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Mirid$density$$

(log)(

Black$pod$prevalence$$

(sqrt)(

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than$5$m$

(22)

Pollen$beetles$

Phoma$

*$

*$

*$

Independent(contribu2on((%)(

73$%$

79$%$

Crop$composi*on$

Oilseed$rape$propor*on$

Crop$configura*on$

Oilseed$rape$alloca*on$

Tree$composi*on$

Forest$propor*on$

Tree$configura*on$

Forest$configura*on$

Xi

collinearity

Y

Hierarchical

partitionning

Maps

$

0(

40(

*$

Figure

Fig. 1. Results of the hierarchical partitioning analyses: independent contributions of host composition (AbCa:

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