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higher weed seed losses (e.g., Menalled et al., 2000; Gallandt et<br />

al., 2005; Holmes and Froud-Williams, 2005; Mauchline et al.,<br />

2005). Yet, some authors have reported methodological biases in<br />

the assessment of the relative impact of seed predator guilds. Some<br />

predators may avoid the exclusion cages even though their body<br />

size would permit them to pass through the mesh openings. Smaller<br />

invertebrates might also be unable to remove the seeds glued to the<br />

sandpaper cards (Shuler et al., 2008). However, possible un<strong>de</strong>restimations<br />

of both the total predation rates and the contribution<br />

of invertebrates in this study would be systematic and would not<br />

challenge the comparisons between the treatments.<br />

4.1. Vegetation cover<br />

The impact of vegetation cover was nearly always positive<br />

among the trials, weed species, and exclusion treatments (Table 2).<br />

Positive impacts of vegetation cover were in line <strong>with</strong> most of the<br />

previous studies conducted in intensively managed and more natural<br />

ecosystems in various locations (Table 1). In our study, about<br />

12% of the variation in seed predation rates could be explained by<br />

vegetation cover and this value was above 30% when global predation<br />

rates were high. Similar rates were observed by Heggenstaller<br />

et al. (2006). Vegetation cover was thus probably a major factor<br />

affecting weed seed predation rates.<br />

Vegetation cover may change the habitat quality for seed predators<br />

by modifying (a) the microclimate (light, temperature) and soil<br />

characteristics (humidity, plant litter), (b) the presence of alternative<br />

food items such as leaves or insect larvae, (c) the presence<br />

of living or <strong>de</strong>ad plant material that may be used as substrates<br />

for reproduction, and (d) the risk of being predated by carnivores<br />

(Manson and Stiles, 1998; Landis et al., 2005). Given this variety of<br />

possible mechanisms, it may be expected that different predator<br />

guilds react differently to the quantity (and quality) of vegetation<br />

cover. Several studies indicated that most granivorous beetles<br />

and ro<strong>de</strong>nts prefer <strong>de</strong>nser vegetation (Hulme, 1997; Manson and<br />

Stiles, 1998; Honek and Jarosik, 2000; Shearin et al., 2008), while<br />

granivorous birds and ants may prefer open patches (Hulme, 1997;<br />

Moorcroft et al., 2002; Butler et al., 2005). While most of the previous<br />

studies focused either on vertebrates or on invertebrates<br />

(Table 1), our exclusion treatments indicated that vegetation cover<br />

increased weed seed predation by both guilds, except for periods<br />

<strong>with</strong> very low predation rates. Field observations and pitfall<br />

trapping suggested that both mice and granivorous beetles were<br />

abundant in the experimental field, while ants were rarely captured<br />

(data not shown). There is also no reason to assume that predation<br />

rates would be always linearly related to vegetation cover.<br />

To our knowledge, the study by Navntoft et al. (2009) is the first<br />

one to report non-linear impacts of vegetation cover on weed seed<br />

predation (Table 1). In our study, some relationships were rather<br />

exponential, e.g., for predation by Invertebrates in July (Fig. 2).<br />

4.2. Crop species vs. cutting<br />

Heggenstaller et al. (2006) found that seed predation rates<br />

follow the seasonal <strong>crop</strong> biomass <strong>de</strong>velopment and would be<br />

temporarily reduced after mowing in perennial forage <strong>crop</strong>s. Our<br />

results based on simultaneous comparisons of cut and uncut plots<br />

(reducing potential confounding temporal effects) support this<br />

hypothesis. In uncut <strong>crop</strong>s, predation rates were higher in Medicago<br />

compared to Dactylis <strong>crop</strong>s. Several authors reported ten<strong>de</strong>ncies<br />

towards higher seed predation in legume <strong>crop</strong>s compared to nonlegume<br />

<strong>crop</strong>s (An<strong>de</strong>rsson, 1998; Gallandt et al., 2005; Heggenstaller<br />

et al., 2006), but the reason why predators might prefer legume<br />

<strong>crop</strong>s over grasses is still unclear.<br />

In our experiment, the greater explanatory power of cutting<br />

compared to <strong>crop</strong> species indicated that vegetation quantity<br />

H. Meiss et al. / Agriculture, Ecosystems and Environment 138 (2010) 10–16 15<br />

(biomass) was more important than vegetation quality, as already<br />

observed by Gallandt et al. (2005) for predation by invertebrates.<br />

The low predation rates observed on plots <strong>with</strong>out any vegetation<br />

agree <strong>with</strong> this hypothesis. Differences between the five treatments<br />

were mainly linked to the differences in cutting and to the complete<br />

absence of plants in bare soil plots. This was probably the reason<br />

why quite large parts of the variation between the treatments could<br />

also be explained by canopy light interception (Table 3). The use<br />

of continuous environmental variables instead of categorical factors<br />

has proved to be more successful in predicting other biological<br />

phenomena including species richness and spatial distributions of<br />

organisms (Lin<strong>de</strong>garth and Gamfeldt, 2005). In our case, the use<br />

of a continuous measurable variable allowed (i) reducing the number<br />

of parameters in the mo<strong>de</strong>ls (parsimony/Occam’s razor) and (ii)<br />

testing a more general hypothesis (“vegetation cover affects weed<br />

seed predation rates”) which may be helpful to <strong>de</strong>velop predictive<br />

mo<strong>de</strong>ls and facilitate the meta-analytical comparison of different<br />

studies (Lin<strong>de</strong>garth and Gamfeldt, 2005).<br />

Results suggested that weed seed predation may be enhanced<br />

by maintaining a high and temporally exten<strong>de</strong>d vegetation cover.<br />

Farmers may thus potentially favour the ecological service of weed<br />

seed predation by implementing <strong>crop</strong> management practices that<br />

maximize vegetation cover on arable fields. This might be achieved<br />

by using cover <strong>crop</strong>s, un<strong>de</strong>rsowing techniques, <strong>crop</strong> mixtures, or<br />

by including perennial <strong>crop</strong>s in the <strong>rotations</strong>.<br />

Acknowledgements<br />

We thank Florence Strbik, Cyril Naulin, François Duguet, Pascal<br />

Farcy, Philippe Chamoy and Denis Lapostolle for assistance in<br />

the field experiment; Fabrice Dessaint for statistical advice; Pavel<br />

Saska, Audrey Alignier, Aline Boursault, Richard Gunton and two<br />

anonymous reviewers for helpful comments on earlier versions<br />

of this manuscript. This work received funding from ECOGER and<br />

ADVHERB (ANR-08-STRA-02) projects, and AgroSupDijon. H. Meiss<br />

was granted a scholarship by the French Research Ministry.<br />

References<br />

Alignier, A., Meiss, H., Petit, S., Reboud, X., 2008. Variation of post-dispersal weed<br />

seed predation according to weed species, space and time. J. Plant Dis. Prot. XXI,<br />

221–226.<br />

An<strong>de</strong>rsson, L., 1998. Post-dispersal seed removal in some agricultural weeds. Asp.<br />

Appl. Biol., 159–164.<br />

Booman, G.C., Laterra, P., Comparatore, V., Murillo, N., 2009. Post-dispersal predation<br />

of weed seeds by small vertebrates: Interactive influences of neighbor land use<br />

and local environment. Agric. Ecosyst. Environ. 129, 277–285.<br />

Butler, S.J., Bradbury, R.B., Whittingham, M.J., 2005. Stubble height affects the use of<br />

stubble fields by farmland birds. J. Appl. Ecol. 42, 469–476.<br />

Cromar, H.E., Murphy, S.D., Swanton, C.J., 1999. Influence of tillage and <strong>crop</strong> residue<br />

on postdispersal predation of weed seeds. Weed Sci. 47, 184–194.<br />

Davis, A.S., Dixon, P.M., Liebman, M., 2004. Using matrix mo<strong>de</strong>ls to <strong>de</strong>termine <strong>crop</strong>ping<br />

system effects on annual weed <strong>de</strong>mography. Ecol. Appl. 14, 655–668.<br />

Davis, A.S., Liebman, M., 2003. Cropping system effects on giant foxtail (Setaria faberi)<br />

<strong>de</strong>mography: I. Green manure and tillage timing. Weed Sci. 51, 919–929.<br />

Gallandt, E.R., Molloy, T., Lynch, R.P., Drummond, F.A., 2005. Effect of cover-<strong>crop</strong>ping<br />

systems on invertebrate seed predation. Weed Sci. 53, 69–76.<br />

Gill, D.S., Marks, P.L., 1991. Tree and shrub seedling colonization of old fields in<br />

central New York. Ecol. Monogr. 61, 183–205.<br />

Heggenstaller, A.H., Menalled, F.D., Liebman, M., Westerman, P.R., 2006. Seasonal<br />

patterns in post-dispersal seed predation of Abutilon theophrasti and Setaria<br />

faberi in three <strong>crop</strong>ping systems. J. Appl. Ecol. 43, 999–1010.<br />

Holmes, R.J., Froud-Williams, R.J., 2005. Post-dispersal weed seed predation by avian<br />

and non-avian predators. Agric. Ecosyst. Environ. 105, 23–27.<br />

Honek, A., Jarosik, V., 2000. The role of <strong>crop</strong> <strong>de</strong>nsity, seed and aphid presence in<br />

diversification of field communities of Carabidae (Coleoptera). Eur. J. Entomol.<br />

97, 517–525.<br />

Hulme, P.E., 1997. Post-dispersal seed predation and the establishment of vertebrate<br />

dispersed plants in Mediterranean scrublands. Oecologia 111, 91–98.<br />

Jordan, N., Mortensen, D.A., Prenzlow, D.M., Cox, K.C., 1995. Simulation analysis of<br />

<strong>crop</strong>-rotation effects on weed seedbanks. Am. J. Bot. 82, 390–398.<br />

Kauffman, M.J., Maron, J.L., 2006. Consumers limit the abundance and dynamics of<br />

a perennial shrub <strong>with</strong> a seed bank. Am. Nat. 168, 454–470.

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