Activity density at a continental scale: What drives invertebrate biomass moving across the soil surface?
Activity density at a continental scale: What drives invertebrate biomass moving across the soil surface?
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大陆尺度的活动密度：是什么驱动无脊椎动物生物量在土壤表面移动？
DOI：
10.1002/ecy.3542
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发表时间：
2021
期刊：
影响因子：
4.8
通讯作者：
de Beurs, Kirsten
中科院分区：
文献类型：
--
作者：
Kaspari, Michael;Weiser, Michael D.;Marshall, Katie E.;Miller, Matthew;Siler, Cameron;de Beurs, Kirsten
活动密度（AD），即单个分类群或其生物量在环境中移动的速率，用于监测社区和量化生态系统工作的潜力。绝对速度假说认为AD随地上净初级生产力（ANPP）的增加而增加，并且是温度的单峰函数。在这里，我们表明，在大陆的范围内，增加ANPP AD可能有非线性的影响：增加丰度，但降低速度积累植被干扰运动。我们使用5年的数据从氖无脊椎动物陷阱陷阱阵列，包括43个地点和4个栖息地类型，共77个栖息地网站的组合，以评估大陆驱动程序的无脊椎动物AD。ANPP和温度占AD变化的三分之一至92%。正如预测的那样，AD是一个单峰函数的温度在森林和草原，但在开放的灌木林地线性增加。ANPP产生了进一步的非线性效应，在湿地产生单峰AD曲线，在森林中产生双峰曲线。虽然所有四个栖息地没有显示出AD的趋势超过5年的采样，这些非线性表明，AD的趋势，往往用来推断昆虫丰度的变化，将不同的生态区的质量。
Activity density (AD), the rate that an individual taxon or its biomass moves through the environment, is used both to monitor communities and quantify the potential for ecosystem work. The Abundance Velocity Hypothesis posited that AD increases with aboveground net primary productivity (ANPP) and is a unimodal function of temperature. Here we show that, at continental extents, increasing ANPP may have nonlinear effects on AD: increasing abundance, but decreasing velocity as accumulating vegetation interferes with movement. We use 5 yr of data from the NEON invertebrate pitfall trap arrays including 43 locations and four habitat types for a total of 77 habitat–site combinations to evaluate continental drivers of invertebrate AD. ANPP and temperature accounted for one‐third to 92% of variation in AD. As predicted, AD was a unimodal function of temperature in forests and grasslands but increased linearly in open scrublands. ANPP yielded further nonlinear effects, generating unimodal AD curves in wetlands, and bimodal curves in forests. While all four habitats showed no AD trends over 5 yr of sampling, these nonlinearities suggest that trends in AD, often used to infer changes in insect abundance, will vary qualitatively across ecoregions.
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影响因子：
2.2
作者：
Hurlbert, Allen H.;Ballantyne, Ford;Powell, Scott
通讯作者：
Powell, Scott
影响因子：
2.9
作者：
Huey, Raymond B.;Kingsolver, Joel G.
通讯作者：
Kingsolver, Joel G.
影响因子：
64.8
作者：
Seibold, Sebastian;Gossner, Martin M.;Weisser, Wolfgang W.
通讯作者：
Weisser, Wolfgang W.
非洲有蹄类动物的能源可用性和密度估计
影响因子：
2.9
作者：
N. Pettorelli;J. Bro;S. Durant;T. Blackburn;C. Carbone
通讯作者：
C. Carbone
DOI：
10.1073/pnas.1913598117
发表时间：
2020-02-11
影响因子：
11.1
作者：
Stepanian, Phillip M.;Entrekin, Sally A.;Kelly, Jeffrey F.
通讯作者：
Kelly, Jeffrey F.