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揭开昆虫减少之谜:空间能否替代时间?

Unravelling insect declines: can space replace time?

机构信息

Ecological Networks Lab, Technische Universität Darmstadt, Schnittspahnstraße 3, 64287 Darmstadt, Germany.

Terrestrial Ecology, Department of Ecology and Ecosystem Management, Technical University of Munich, 85354 Freising, Germany.

出版信息

Biol Lett. 2022 Apr;18(4):20210666. doi: 10.1098/rsbl.2021.0666. Epub 2022 Apr 20.

Abstract

Temporal trends in insect numbers vary across studies and habitats, but drivers are poorly understood. Suitable long-term data are scant and biased, and interpretations of trends remain controversial. By contrast, there is substantial quantitative evidence for drivers of spatial variation. From observational and experimental studies, we have gained a profound understanding of insect abundance and diversity is higher-and identified underlying environmental conditions, resource change and disturbances. We thus propose an increased consideration of spatial evidence in studying the causes of insect decline. This is because for most time series available today, the number of sites and thus statistical power strongly exceed the number of years studied. Comparisons across sites allow quantifying insect population risks, impacts of land use, habitat destruction, restoration or management, and stressors such as chemical and light pollution, pesticides, mowing or harvesting, climatic extremes or biological invasions. Notably, drivers may not have to change in intensity to have long-term effects on populations, e.g. annually repeated disturbances or mortality risks such as those arising from agricultural practices. Space-for-time substitution has been controversially debated. However, evidence from well-replicated spatial data can inform on urgent actions required to halt or reverse declines-to be implemented in space.

摘要

昆虫数量的时间趋势在不同的研究和生境中有所不同,但驱动因素仍不清楚。合适的长期数据稀缺且存在偏差,对趋势的解释仍然存在争议。相比之下,对于空间变化的驱动因素有大量定量证据。通过观察和实验研究,我们深刻理解了昆虫丰度和多样性更高的原因,并确定了潜在的环境条件、资源变化和干扰。因此,我们建议在研究昆虫减少的原因时,更多地考虑空间证据。这是因为对于当今大多数时间序列数据,可用的站点数量及其统计能力远远超过研究的年份数量。通过对站点进行比较,可以量化昆虫种群的风险、土地利用的影响、栖息地破坏、恢复或管理以及化学和光污染、农药、修剪或收割、极端气候或生物入侵等压力源的影响。值得注意的是,即使驱动因素的强度没有变化,也可能对种群产生长期影响,例如每年重复的干扰或农业实践等造成的死亡率风险。时空替代已经引起了争议。然而,来自经过充分复制的空间数据的证据可以为阻止或扭转下降趋势所需的紧急行动提供信息,这些行动将在空间中实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c46/9019513/7a90fe8f9480/rsbl20210666f01.jpg

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