{"title":"New light on the baseline importance of temperature for the origin of geographic species richness gradients","authors":"J. Hortal","doi":"10.24072/PCI.ECOLOGY.100075","DOIUrl":null,"url":null,"abstract":"Whether environmental conditions –in particular energy and water availability– are sufficient to account for species richness gradients (e.g. Currie 1991), or the effects of other biotic and historical or regional factors need to be considered as well (e.g. Ricklefs 1987), was the subject of debate during the 1990s and 2000s (e.g. Francis & Currie 2003; Hawkins et al. 2003, 2006; Currie et al. 2004; Ricklefs 2004). The metabolic theory of ecology (Brown et al. 2004) provided a solid and well-rooted theoretical support for the preponderance of energy as the main driver for richness variations. As any good piece of theory, it provided testable predictions about the sign and shape (i.e. slope) of the relationship between temperature –a key aspect of ambient energy– and species richness. However, these predictions were not supported by empirical evaluations (e.g. Kreft & Jetz 2007; Algar et al. 2007; Hawkins et al. 2007a), as the effects of a myriad of other environmental gradients, regional factors and evolutionary processes result in a wide variety of richness–temperature responses across different groups and regions (Hawkins et al. 2007b; Hortal et al. 2008). So, in a textbook example of how good theoretical work helps advancing science even if proves to be (partially) wrong, the evaluation of this aspect of the metabolic theory of ecology led to current understanding that, while species richness does respond to current climatic conditions, many other ecological, evolutionary and historical factors do modify such response across scales (see, e.g., Ricklefs 2008; Hawkins 2008; D’Amen et al. 2017). And the kinetic model linking mean annual temperature and species richness (Allen et al. 2002; Brown et al. 2004) was put aside as being, perhaps, another piece of the puzzle of the origin of current diversity gradients.","PeriodicalId":186865,"journal":{"name":"Peer Community In Ecology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Peer Community In Ecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24072/PCI.ECOLOGY.100075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Whether environmental conditions –in particular energy and water availability– are sufficient to account for species richness gradients (e.g. Currie 1991), or the effects of other biotic and historical or regional factors need to be considered as well (e.g. Ricklefs 1987), was the subject of debate during the 1990s and 2000s (e.g. Francis & Currie 2003; Hawkins et al. 2003, 2006; Currie et al. 2004; Ricklefs 2004). The metabolic theory of ecology (Brown et al. 2004) provided a solid and well-rooted theoretical support for the preponderance of energy as the main driver for richness variations. As any good piece of theory, it provided testable predictions about the sign and shape (i.e. slope) of the relationship between temperature –a key aspect of ambient energy– and species richness. However, these predictions were not supported by empirical evaluations (e.g. Kreft & Jetz 2007; Algar et al. 2007; Hawkins et al. 2007a), as the effects of a myriad of other environmental gradients, regional factors and evolutionary processes result in a wide variety of richness–temperature responses across different groups and regions (Hawkins et al. 2007b; Hortal et al. 2008). So, in a textbook example of how good theoretical work helps advancing science even if proves to be (partially) wrong, the evaluation of this aspect of the metabolic theory of ecology led to current understanding that, while species richness does respond to current climatic conditions, many other ecological, evolutionary and historical factors do modify such response across scales (see, e.g., Ricklefs 2008; Hawkins 2008; D’Amen et al. 2017). And the kinetic model linking mean annual temperature and species richness (Allen et al. 2002; Brown et al. 2004) was put aside as being, perhaps, another piece of the puzzle of the origin of current diversity gradients.
环境条件——特别是能源和水的可用性——是否足以解释物种丰富度梯度(例如Currie 1991),或者其他生物和历史或区域因素的影响也需要考虑(例如Ricklefs 1987),这是20世纪90年代和21世纪初争论的主题(例如Francis & Currie 2003;Hawkins et al. 2003, 2006;Currie et al. 2004;Ricklefs 2004)。生态学的代谢理论(Brown et al. 2004)为能量优势作为丰富度变化的主要驱动因素提供了坚实而根深蒂固的理论支持。正如任何好的理论一样,它提供了关于温度(环境能量的关键方面)与物种丰富度之间关系的符号和形状(即斜率)的可测试预测。然而,这些预测并没有得到实证评估的支持(例如Kreft & Jetz 2007;Algar等人,2007;Hawkins et al. 2007a),由于无数其他环境梯度的影响,区域因素和进化过程导致不同群体和地区之间的丰富度-温度响应种类繁多(Hawkins et al. 2007b;Hortal et al. 2008)。因此,在一个教科书的例子中,好的理论工作如何帮助推进科学,即使被证明是(部分)错误的,对生态学代谢理论这方面的评估导致了目前的理解,尽管物种丰富度确实对当前的气候条件作出反应,但许多其他生态、进化和历史因素确实在不同尺度上改变了这种反应(参见,例如,Ricklefs 2008;霍金斯2008;D 'Amen et al. 2017)。年平均温度和物种丰富度的动力学模型(Allen et al. 2002;Brown et al. 2004)被搁置一边,因为它可能是当前多样性梯度起源之谜的另一块拼图。