TY - JOUR

T1 - Six Steps towards a Spatial Design for Large-Scale Pollinator Surveillance Monitoring

AU - Hellwig, Niels

AU - Sommerlandt, Frank M.J.

AU - Grabener, Swantje

AU - Lindermann, Lara

AU - Sickel, Wiebke

AU - Krüger, Lasse

AU - Dieker, Petra

N1 - Publisher Copyright: © 2024 by the authors.

PY - 2024/4

Y1 - 2024/4

N2 - Despite the importance of pollinators to ecosystem functioning and human food production, comprehensive pollinator monitoring data are still lacking across most regions of the world. Policy-makers have recently prioritised the development of large-scale monitoring programmes for pollinators to better understand how populations respond to land use, environmental change and restoration measures in the long term. Designing such a monitoring programme is challenging, partly because it requires both ecological knowledge and advanced knowledge in sampling design. This study aims to develop a conceptual framework to facilitate the spatial sampling design of large-scale surveillance monitoring. The system is designed to detect changes in pollinator species abundances and richness, focusing on temperate agroecosystems. The sampling design needs to be scientifically robust to address questions of agri-environmental policy at the scales of interest. To this end, we followed a six-step procedure as follows: (1) defining the spatial sampling units, (2) defining and delimiting the monitoring area, (3) deciding on the general sampling strategy, (4) determining the sample size, (5) specifying the sampling units per sampling interval, and (6) specifying the pollinator survey plots within each sampling unit. As a case study, we apply this framework to the “Wild bee monitoring in agricultural landscapes of Germany” programme. We suggest this six-step procedure as a conceptual guideline for the spatial sampling design of future large-scale pollinator monitoring initiatives.

AB - Despite the importance of pollinators to ecosystem functioning and human food production, comprehensive pollinator monitoring data are still lacking across most regions of the world. Policy-makers have recently prioritised the development of large-scale monitoring programmes for pollinators to better understand how populations respond to land use, environmental change and restoration measures in the long term. Designing such a monitoring programme is challenging, partly because it requires both ecological knowledge and advanced knowledge in sampling design. This study aims to develop a conceptual framework to facilitate the spatial sampling design of large-scale surveillance monitoring. The system is designed to detect changes in pollinator species abundances and richness, focusing on temperate agroecosystems. The sampling design needs to be scientifically robust to address questions of agri-environmental policy at the scales of interest. To this end, we followed a six-step procedure as follows: (1) defining the spatial sampling units, (2) defining and delimiting the monitoring area, (3) deciding on the general sampling strategy, (4) determining the sample size, (5) specifying the sampling units per sampling interval, and (6) specifying the pollinator survey plots within each sampling unit. As a case study, we apply this framework to the “Wild bee monitoring in agricultural landscapes of Germany” programme. We suggest this six-step procedure as a conceptual guideline for the spatial sampling design of future large-scale pollinator monitoring initiatives.

KW - agroecosystems

KW - biodiversity monitoring

KW - sampling design

KW - sampling method framework

KW - spatial sampling

KW - wild bees

KW - Biology

UR - http://www.scopus.com/inward/record.url?scp=85191554423&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/ccddb2c8-e066-37ba-8af4-68b0a24596b6/

U2 - 10.3390/insects15040229

DO - 10.3390/insects15040229

M3 - Comments / Debate / Reports

C2 - 38667359

AN - SCOPUS:85191554423

VL - 15

JO - Insects

JF - Insects

SN - 2075-4450

IS - 4

M1 - 229

ER -