Inventorying and monitoring crop pollinating bees: Evaluating the effectiveness of common sampling methods
Inventorying and monitoring crop pollinating bees: Evaluating the effectiveness of common sampling methods
复制标题
清查和监测农作物授粉蜜蜂:评估常见采样方法的有效性
DOI:
10.1111/icad.12557
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发表时间:
2021
影响因子:
3.5
通讯作者:
Hutchinson L
中科院分区:
文献类型:
--
作者:
Hutchinson L
Wild bees provide a critical ecosystem service by pollinating globally important crops. Documented bee declines, notably in agricultural landscapes, therefore threaten future food security. Yet, evaluations of methods to inventory bees are rarely carried out in different crops or focus specifically upon crop pollinating species.We utilise standardised field datasets to elucidate differences in the capacity of transect walks, observation plots and pan traps to sample wild bee pollinator communities in four contrasting crops. Our results indicate that individual survey methods detect different components of crop pollinator communities, with guild and body size potentially important causal factors behind these differences.Transects detected half or less of the total potential pollinator community in three of our four study crops. Whilst transects were the most efficient method for sampling bumblebees, they often missed smaller solitary species, which were most efficiently sampled by yellow pan traps.Crop type is likely an important determinant of the most suitable survey methods to sample bee pollinator communities. Whilst transects alone are sufficient in crops pollinated predominantly by bumblebees, pan traps, and potentially observation plots, may be an important addition in some crops where smaller solitary bee species are potentially important pollinators.Our results indicate that the most efficient methods to sample bee species in agricultural landscapes are dependent upon crop type and pollinator community composition. We use our findings to make a set of recommendations on the inventorying and monitoring of bee pollinator crop communities that can inform regional and national monitoring programmes.
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影响因子:
1.9
作者:
Campbell, Joshua W.;Hanula, J. L.
通讯作者:
Hanula, J. L.
影响因子:
1.9
作者:
J. Sircom;Geena Arul Jothi;Jasmine Pinksen
通讯作者:
Jasmine Pinksen
DOI:
--
发表时间:
2015-10
期刊:
--
影响因子:
--
作者:
Douglas M. Bates;M. Maechler;Ben Bolker;Steven C. Walker
通讯作者:
Douglas M. Bates;M. Maechler;Ben Bolker;Steven C. Walker
影响因子:
0.6
作者:
Barbara Templ;Edina Mózes;M. Templ;Rita Földesi;Ádám Szirák;A. Báldi;Anikó Kovács‐Hostyánszki
通讯作者:
Anikó Kovács‐Hostyánszki
DOI:
10.1101/011379
发表时间:
2014
期刊:
bioRxiv
影响因子:
--
作者:
S. Bossert
通讯作者:
S. Bossert