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

Niels Hellwig; Frank M.J. Sommerlandt; Swantje Grabener; Lara Lindermann; Wiebke Sickel; Lasse Krüger; Petra Dieker

doi:10.3390/insects15040229

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

Publikation: Beiträge in Zeitschriften › Kommentare / Debatten / Berichte › Forschung

Standard

Six Steps towards a Spatial Design for Large-Scale Pollinator Surveillance Monitoring. / Hellwig, Niels; Sommerlandt, Frank M.J.; Grabener, Swantje et al.
in: Insects, Jahrgang 15, Nr. 4, 229, 04.2024.

Publikation: Beiträge in Zeitschriften › Kommentare / Debatten / Berichte › Forschung

Harvard

Hellwig, N, Sommerlandt, FMJ, Grabener, S, Lindermann, L, Sickel, W, Krüger, L & Dieker, P 2024, 'Six Steps towards a Spatial Design for Large-Scale Pollinator Surveillance Monitoring', Insects, Jg. 15, Nr. 4, 229. https://doi.org/10.3390/insects15040229

APA

Hellwig, N., Sommerlandt, F. M. J., Grabener, S., Lindermann, L., Sickel, W., Krüger, L., & Dieker, P. (2024). Six Steps towards a Spatial Design for Large-Scale Pollinator Surveillance Monitoring. Insects, 15(4), Artikel 229. https://doi.org/10.3390/insects15040229

Vancouver

Hellwig N, Sommerlandt FMJ, Grabener S, Lindermann L, Sickel W, Krüger L et al. Six Steps towards a Spatial Design for Large-Scale Pollinator Surveillance Monitoring. Insects. 2024 Apr;15(4):229. doi: 10.3390/insects15040229

Bibtex

@article{5489d943dff0478f8ef946e69a742bc9,

title = "Six Steps towards a Spatial Design for Large-Scale Pollinator Surveillance Monitoring",

abstract = "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.",

keywords = "agroecosystems, biodiversity monitoring, sampling design, sampling method framework, spatial sampling, wild bees, Biology",

author = "Niels Hellwig and Sommerlandt, {Frank M.J.} and Swantje Grabener and Lara Lindermann and Wiebke Sickel and Lasse Kr{\"u}ger and Petra Dieker",

note = "Funding Information: This research was funded by the German Federal Ministry of Food and Agriculture (MonViA; www.agrarmonitoring-monvia.de/en, accessed on 25 January 2024). Publisher Copyright: {\textcopyright} 2024 by the authors.",

year = "2024",

month = apr,

doi = "10.3390/insects15040229",

language = "English",

volume = "15",

journal = "Insects",

issn = "2075-4450",

publisher = "MDPI AG",

number = "4",

}

RIS

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 - Funding Information: This research was funded by the German Federal Ministry of Food and Agriculture (MonViA; www.agrarmonitoring-monvia.de/en, accessed on 25 January 2024). 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

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 -

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