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温度而非净初级生产力驱动昆虫飞行活动的大陆尺度变化。

Temperature, not net primary productivity, drives continental-scale variation in insect flight activity.

机构信息

School of Biological Sciences, University of Oklahoma, Norman, OK 73019-0390, USA.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2024 Jun 24;379(1904):20230114. doi: 10.1098/rstb.2023.0114. Epub 2024 May 6.

Abstract

The amount of energy available in a system constrains large-scale patterns of abundance. Here, we test the role of temperature and net primary productivity as drivers of flying insect abundance using a novel continental-scale data source: weather surveillance radar. We use the United States NEXRAD weather radar network to generate a near-daily dataset of insect flight activity across a gradient of temperature and productivity. Insect flight activity was positively correlated with mean annual temperature, explaining 38% of variation across sites. By contrast, net primary productivity did not explain additional variation. Grassland, forest and arid-xeric shrubland biomes differed in their insect flight activity, with the greatest abundance in subtropical and temperate grasslands. The relationship between insect flight abundance and temperature varied across biome types. In arid-xeric shrublands and in forest biomes the temperature-abundance relationship was indirectly (through net primary productivity) or directly (in the form of precipitation) mediated by water availability. These results suggest that temperature constraints on metabolism, development, or flight activity shape macroecological patterns in ectotherm abundance. Assessing the drivers of continental-scale patterns in insect abundance and their variation across biomes is particularly important to predict insect community response to warming conditions. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

摘要

系统中可用的能量限制了丰富度的大尺度模式。在这里,我们使用一种新颖的大陆尺度数据源——天气监测雷达来测试温度和净初级生产力作为飞行昆虫丰度驱动因素的作用。我们利用美国 NEXRAD 天气雷达网络,生成了一个关于昆虫飞行活动的近日常数据集,该数据集涵盖了温度和生产力的梯度。昆虫的飞行活动与年平均温度呈正相关,解释了 38%的站点间变异。相比之下,净初级生产力并不能解释更多的变异。草原、森林和干旱-干旱灌木林生物群落的昆虫飞行活动存在差异,亚热带和温带草原的昆虫丰度最大。昆虫飞行丰度与温度之间的关系因生物群落类型而异。在干旱-干旱灌木林和森林生物群落中,温度与丰度的关系是通过水分可用性间接(通过净初级生产力)或直接(以降水的形式)介导的。这些结果表明,新陈代谢、发育或飞行活动的温度限制决定了外温动物丰度的宏观生态模式。评估昆虫丰度的大陆尺度模式及其在生物群落间的变化的驱动因素,对于预测昆虫群落对变暖条件的反应尤为重要。本文是主题为“迈向全球昆虫生物多样性监测工具包”的特刊的一部分。

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