物种丰富度与资源可用性的关系呈驼峰形

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-09-06 DOI:10.1016/j.ppees.2024.125824
Byron B. Lamont
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引用次数: 0

摘要

生态学理论表明,随着资源可用性的增加,相关物种的数量(S)会从零开始上升,达到一个峰值(最佳值),然后再次下降到零,形成一条单模态(驼峰形)曲线。虽然很少有人证明,但我在对土壤养分和酸碱度、基质水、气温、蒸散量、日照、火灾频率(作为资源周转的替代物)、草食性以及植物密度和生产力(作为资源可用性的替代物)的研究中,发现了对单峰 S 环境模型的支持。曲线左侧的上升是由于对控制变量(如土壤养分)的正向响应,右侧的下降是由于超理想水平(如蛋白质受热变性)或次要变量(如增加自遮荫)的阻滞效应对新陈代谢的抑制。具有统计学意义的形状结果取决于测试变量的范围、研究规模、目标物种群的分类和生命形式、物种沿梯度分布的程度、假设曲线的类型以及研究持续到 S 为零的程度。单模态模式的机理解释可能涉及物种间的相互作用,如微观尺度上的个体适应性在物种组合的中等丰度时达到最佳状态、抑制性次生效应不可避免地不断增加、资源利用通才多于专才等。本文指出了不支持单模式假说的六个原因。生态学中的 "预测 "概念需要超越(曲线)线性关系的传统,接受自然界中的大多数关系是(必须是)单模态的。
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The species richness–resource availability relationship is hump-shaped

Ecological theory shows that, as resource availability increases, the number of related species (S) rises from zero at first, reaches a peak (optimum), and then falls to zero again to form a unimodal (hump-shaped) curve. Although rarely demonstrated, I show support for the unimodal, S-environment model exists among studies of soil nutrients and pH, substrate water, air temperature, evapotranspiration, sunlight, fire frequency (as a surrogate for resource turnover), herbivory, and plant density and productivity (as surrogates for resource availability). The rising left-hand side of the curve is due to a positive response to the controlling variable (e.g., soil nutrients) and the falling right-hand side to metabolic suppression by supraoptimal levels (e.g., protein denaturation by heat) or the retarding effect of secondary variables (e.g., increasing self shading). Statistically significant shape outcomes depend on range of the variable tested, scale of the study, taxonomy and life form of the targeted species assemblage, extent that species are distributed along the gradient, type of curve hypothesized, and extent to which the study continues to zero S. Interpretations should consider whether the left tail of the curve will terminate at the origin (0,0). Mechanistic explanations for the unimodal pattern may involve species interactions, such as individual fitness at the microscale optimizing at moderate abundance in the species mix, the inevitable increasing presence of inhibitory secondary effects, and existence of more resource-use generalists than specialists. Six reasons for lack of support for the unimodal hypothesis are noted. Support for the unimodal model is more likely the greater the range of the variable tested and the greater its causative link to S. The concept of ‘prediction’ in ecology needs to go beyond the tradition of (curvi)linear relationships and accept that most relationships in nature are (must be) unimodal.

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