TY - JOUR
T1 - Advantages of Volunteer-Based Biodiversity Monitoring in Europe [Ventajas del monitoreo de biodiversidad basado en voluntarios en Europa]
AU - Schmeller, Dirk
AU - Henry, Pierre-Yves
AU - Julliard, Romain
AU - Gruber, Bernd
AU - Clobert, Jean
AU - Dziock, Frank
AU - Lengyel, Szabolcs
AU - Nowicki, Piotr
AU - Déri, Eszter
AU - Budrys, Eduardas
AU - Kull, Tiiu
AU - Tali, Kadri
AU - Bauch, Bianca
AU - Settele, Josef
AU - van Swaay, Chris
AU - Kobler, Andrej
AU - Babij, Valerija
AU - Papastergiadou, Eva
AU - Henle, Klaus
PY - 2009
Y1 - 2009
N2 - Without robust and unbiased systems for monitoring, changes in natural systems will remain enigmatic for policy makers, leaving them without a clear idea of the consequences of any environmental policies they might adopt. Generally, biodiversity-monitoring activities are not integrated or evaluated across any large geographic region. The EuMon project conducted the first large-scale evaluation of monitoring practices in Europe through an on-line questionnaire and is reporting on the results of this survey. In September 2007 the EuMon project had documented 395 monitoring schemes for species, which represents a total annual cost of about 4 million euro, involving more than 46,000 persons devoting over 148,000 person-days/year to biodiversity-monitoring activities. Here we focused on the analysis of variations of monitoring practices across a set of taxonomic groups (birds, amphibians and reptiles, mammals, butterflies, plants, and other insects) and across 5 European countries (France, Germany, Hungary, Lithuania, and Poland). Our results suggest that the overall sampling effort of a scheme is linked with the proportion of volunteers involved in that scheme. Because precision is a function of the number of monitored sites and the number of sites is maximized by volunteer involvement, our results do not support the common belief that volunteer-based schemes are too noisy to be informative. Just the opposite, we believe volunteer-based schemes provide relatively reliable data, with state-of-the-art survey designs or data-analysis methods, and consequently can yield unbiased results. Quality of data collected by volunteers is more likely determined by survey design, analytical methodology, and communication skills within the schemes rather than by volunteer involvement per se.
AB - Without robust and unbiased systems for monitoring, changes in natural systems will remain enigmatic for policy makers, leaving them without a clear idea of the consequences of any environmental policies they might adopt. Generally, biodiversity-monitoring activities are not integrated or evaluated across any large geographic region. The EuMon project conducted the first large-scale evaluation of monitoring practices in Europe through an on-line questionnaire and is reporting on the results of this survey. In September 2007 the EuMon project had documented 395 monitoring schemes for species, which represents a total annual cost of about 4 million euro, involving more than 46,000 persons devoting over 148,000 person-days/year to biodiversity-monitoring activities. Here we focused on the analysis of variations of monitoring practices across a set of taxonomic groups (birds, amphibians and reptiles, mammals, butterflies, plants, and other insects) and across 5 European countries (France, Germany, Hungary, Lithuania, and Poland). Our results suggest that the overall sampling effort of a scheme is linked with the proportion of volunteers involved in that scheme. Because precision is a function of the number of monitored sites and the number of sites is maximized by volunteer involvement, our results do not support the common belief that volunteer-based schemes are too noisy to be informative. Just the opposite, we believe volunteer-based schemes provide relatively reliable data, with state-of-the-art survey designs or data-analysis methods, and consequently can yield unbiased results. Quality of data collected by volunteers is more likely determined by survey design, analytical methodology, and communication skills within the schemes rather than by volunteer involvement per se.
KW - biodiversity monitoring
KW - costs
KW - data collection
KW - sampling effort
KW - volunteer involvement.
U2 - 10.1111/j.1523-1739.2008.01125.x
DO - 10.1111/j.1523-1739.2008.01125.x
M3 - Article
SN - 0888-8892
VL - 23
SP - 307
EP - 316
JO - Conservation Biology
JF - Conservation Biology
IS - 2
ER -