Department of Biology, University of Washington, Seattle, WA, 98195-1800, USA.
Glob Chang Biol. 2016 Dec;22(12):3829-3842. doi: 10.1111/gcb.13313. Epub 2016 May 12.
Extreme temperatures can injure or kill organisms and can drive evolutionary patterns. Many indices of extremes have been proposed, but few attempts have been made to establish geographic patterns of extremes and to evaluate whether they align with geographic patterns in biological vulnerability and diversity. To examine these issues, we adopt the CLIMDEX indices of thermal extremes. We compute scores for each index on a geographic grid during a baseline period (1961-1990) and separately for the recent period (1991-2010). Heat extremes (temperatures above the 90th percentile during the baseline period) have become substantially more common during the recent period, particularly in the tropics. Importantly, the various indices show weak geographic concordance, implying that organisms in different regions will face different forms of thermal stress. The magnitude of recent shifts in indices is largely uncorrelated with baseline scores in those indices, suggesting that organisms are likely to face novel thermal stresses. Organismal tolerances correlate roughly with absolute metrics (mainly for cold), but poorly with metrics defined relative to local conditions. Regions with high extreme scores do not correlate closely with regions with high species diversity, human population density, or agricultural production. Even though frequency and intensity of extreme temperature events have - and are likely to have - major impacts on organisms, the impacts are likely to be geographically and taxonomically idiosyncratic and difficult to predict.
极端温度会伤害或杀死生物,并能驱动进化模式。已经提出了许多极端指标,但很少有人试图确定极端情况的地理模式,并评估它们是否与生物脆弱性和多样性的地理模式一致。为了研究这些问题,我们采用了 CLIMDEX 热极端指数。我们在基线期(1961-1990 年)和近期(1991-2010 年)在地理网格上为每个指数计算得分。在近期,极端高温(在基线期超过第 90 个百分位数的温度)变得更加普遍,尤其是在热带地区。重要的是,各种指数显示出弱的地理一致性,这意味着不同地区的生物将面临不同形式的热胁迫。近期指数变化的幅度与这些指数的基线得分基本无关,这表明生物可能面临新的热胁迫。生物的耐受能力与绝对指标大致相关(主要是与寒冷相关),但与相对于当地条件定义的指标相关性较差。极端得分高的地区与物种多样性高、人口密度高或农业产量高的地区没有密切的相关性。尽管极端温度事件的频率和强度已经对生物产生了重大影响,而且可能还会继续产生重大影响,但这些影响可能在地理和分类上具有特殊性,难以预测。