Data issues in species monitoring: where are the traps?

Transcription

1 Data issues in species monitoring: where are the traps? French breeding bird monitoring : Animations locales : - dealing with heterogenous data - working with multi-species multi-sites monitoring schemes - from monitoring data to biodiversity indicators - learning effect - believe there is nothing in there Sampling design 7 carrés suivis au moins une fois entre et 6 5 espèces Publication from the French Breeding Bird Monitoring scheme -7 Ecology Letter 6, 6 Global Change Biology, 7 Prodeedings Royal Society B Conservation Biology, 7 Oikos 7 Global Ecology and Biogeography 7 Biodiversity & Conservation 5, 6, 6 Agriculture Ecosystem & Environment 6 Biological Conservation 7 Bird Study 5 N = Et avec le soutien de

2 Impliquer le grand public dans le suivi de la biodiversité Un réseau national 8 espèces de papillons communs Suivi scientifique 695 personnes inscrites et abonnées à la lettre d information 5 jardins en 6 Eveil de l intérêt naturaliste 98 jardins en 7 5 papillons comptés Changement de comportement Cartes d abondance relative phénology data Évaluation des «vrong positifs» (< 5%)

3 Objectif scientifique Evaluer l influence du paysage sur la diversité en papillons Indice d abondance % urbanisation % de milieu artificiel dans la commune 6 espèces / 8 Missing points are not a problem General case: volunteers cannot take measures at some sites in some years Difficulty: site and observer effects make statistical units not interchangeable Indice d abondance % de milieu artificiel dans la commune % urbanisation Solution: standardization for site effect = accounting for site effect in model Thus no need for continuity of time series

4 Nombre d'individus comptés standardisé par site Nombre d'individus comptés Acounting for missing data & heterogeneity Site A Site B site A Site B Variation moyenne Exemple : Skylark Indice d'abondance Pool sites -.7 ±.6 per year exponentiel (-.7 * ) - - 8% between 989 et Pool species Indicateur toutes espèces : -7 % d oiseaux entre 989 et 5 Indicateurs par milieux : Généralistes +7% Urban % All species - 7% Woodland - 7% Farmland - 9% Indicator of farmland birds in Europe Pooling countries Population index (99=) Significant decline (trend 98- = -9%) Year Gregory et al. Phil. Trans. R. Soc. Lond. B. (in press).

5 Pooling, pooling, pooling We know how to do that, But if we stop there, we have mostly destroyed data: there is much to learn from the differences among sites, species etc. Ex. winners and losers in fragmented lanscape For each species : abondance(*) ~ fragmentation abondance(*) ~ perturbation Abondance? x species perturbation Species ranked according to habitat specialisation (*) adjusted for habitat Estimation de la spécialisation Descripteur du paysage () CORINE landcover (99) Fragmentation Relative abundance Relative abundance Habitat classes Habitat classes Km Indice de spécialisation = CV(abondance)

6 Résults Specialized species do not like fragmentation Generalist species are more resiliant to fragmentation Most generalist species actualy enjoy fragmentation Slope abundance ~ fragmentation + R²=% Développer des indicateurs régionaux Species specialisation From monitoring data to biodiversity indicators From monitoring data to biodiversity indicators Strong demand for biodiversiy indicators => monitoring requested Trap n Strong demand for biodiversiy indicators => monitoring requested Monitoring Indicators Monitoring Indicators Data base for analysis Basic and applied ecological knowledge

7 From monitoring data to biodiversity indicators French breeding bird monitoring : Animations locales : Strong demand for biodiversiy indicators Monitoring => monitoring requested Indicators Trap n Sampling design 7 carrés suivis au moins une fois entre et 6 5 espèces Learning effect in the FBBS Started in, new participants every years From, we compare changes between first and second year squares, with changes in «older» squares => Observers tend to count % more individuals after the first year, whatever the species Learning effect in the FBBS Linked to random choice + point counts? Solution : remove first year Solution : use appropriate stats