J. Biesmeijer, Parallel Declines in Pollinators and Insect-Pollinated Plants in Britain and the Netherlands, Science, vol.313, issue.5785, pp.351-354, 2006.
DOI : 10.1126/science.1127863

L. Carvalheiro, Species richness declines and biotic homogenisation have slowed down for NW-European pollinators and plants, Ecology Letters, vol.40, issue.7, pp.870-878, 2013.
DOI : 10.1111/ele.12121

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3738924

L. Carvalheiro, W. Kunin, and J. Biesmeijer, . (), Ecology Letters, vol.16, issue.11, pp.1416-1417, 2013.
DOI : 10.1111/ele.12175

R. Colwell, A. Chao, N. Gotelli, S. Lin, C. Mao et al., Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages, Journal of Plant Ecology, vol.5, issue.1, pp.3-21, 2012.
DOI : 10.1093/jpe/rtr044

W. Conover, com/WileyCDA/WileyTitle/productCd-0471160687.html Kunin WE (2013) No bias behind pollinator research Species richness estimators: how many species can dance on the head of a pin, Practical Nonparametric Statistics, pp.375-386, 1999.

G. Pe-'er, L. Dicks, P. Visconti, R. Arlettaz, A. Báldi et al., EU agricultural reform fails on biodiversity, Science, vol.344, issue.6188, pp.1090-1092, 2014.
DOI : 10.1126/science.1253425

S. Potts, V. Imperatriz-fonseca, H. Ngo, J. Biesmeijer, T. Breeze et al., IPBES: Summary for policymakers of the assessment report of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services on pollinators, pollination and food production R: A language and environment for statistical computing. R Foundation for Statistical Computing Conducting meta-analyses in R with the metafor package, Journal of Statistical Software, vol.36, pp.1-48, 2010.

B. Walther and J. Moore, The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance, Ecography, vol.85, issue.6, pp.815-829, 2005.
DOI : 10.1111/j.2005.0906-7590.04112.x