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Thermal traits predict the winners and losers under climate change: an example from North American ant communities

机译:热性状预测气候变化下的获奖者和输家:北美蚂蚁社区的一个例子

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Across the globe, temperatures are predicted to increase with consequences for many taxonomic groups. Arthropods are particularly at risk as temperature imposes physiological constraints on growth, survival, and reproduction. Given that arthropods may be disproportionately affected in a warmer climate—the question becomes which taxa are vulnerable and can we predict the supposed winners and losers of climate change? To address this question, we resurveyed 33 ant communities, quantifying 20‐yr differences in the incidence of 28 genera. Each North American ant community was surveyed with 30 1‐m~(2)plots, and the incidence of each genus across the 30 plots was used to estimate change. From the original surveys in 1994–1997 to the resurveys in 2016–2017, temperature increased on average 1°C (range, ?0.4°C to 2.5°C) and ~64% of ant genera increased in more than half of the sampled communities. To test Thermal Performance Theory's prediction that genera with higher average thermal limits will tend to accumulate at the expense of those with lower limits, we quantified critical thermal maxima (CT_(max): the high temperatures at which they lose muscle control) and minima (CT_(min): the low temperatures at which ants first become inactive) for common genera at each site. Consistent with prediction, we found a positive decelerating relationship between CT_(max)and the proportion of sites in which a genus had increased. CT_(min), by contrast, was not a useful predictor of change. There was a strong positive correlation (r ?=?0.85) between the proportion of sites where a genus was found with higher incidence after 20?yr and the average difference in number of plots occupied per site, suggesting genera with high CT_(max)values tended to occupy more plots at more sites after 20?yr. Thermal functional traits like CT_(max)have thus proved useful in predicting patterns of long‐term community change in a dominant, diverse insect taxon.
机译:在全球范围内,预计温度随着许多分类群的后果而增加。随着温度对生长,生存和繁殖产生生理限制,节肢动物尤其存在风险。鉴于节肢动物可能在温暖的气候中受到不成比例的影响 - 问题变得脆弱的问题是脆弱的,我们可以预测气候变化的赢家和输家吗?为了解决这个问题,我们重新保证了33个蚂蚁社区,量化了28个属的发生率20年的差异。每个北美蚂蚁社区都被调查,用30 1米〜(2)个地块进行调查,并使用30个地块中每个属的发病率来估算变化。从1994 - 1997年的原始调查到2016 - 2017年的重复,温度平均增加1°C(范围,?0.4°C至2.5°C),〜64%的蚂蚁属的蚂蚁属于一半以上的采样增加社区。为了测试热性能理论的预测,具有较高平均热限制的完美将倾向于以较低限制的那些牺牲累积,我们量化临界热敏最大值(CT_(最大值):它们失去肌肉控制的高温)和最小值( CT_(min):蚂蚁首次变为非活动的低温)对于每个站点的常见属性。与预测一致,我们发现CT_(MAX)与属植物增加的位点的比例之间存在积极减速的关系。相比之下,CT_(min)并不是改变的有用预测因素。在20〜r次发病率下发现出发率高的部位的比例与每位网站占用的地块数量的平均差异,存在强烈的正相关( r?= 0.85),表明具有高CT_ (最大)值倾向于在20岁后的更多网站上占据更多地块。因此,CT_(MAX)等热函数性状被证明是有用的,以预测占主导地位的昆虫分类群体的长期社区变化模式。

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