量化群落生态学中歧义术语的科学成本

Carolyn A. Trombley, K. Cottenie
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引用次数: 7

摘要

摘要:生态学领域的基本术语是模糊的,具有多重含义。虽然这可能会导致混乱、不和谐,甚至违反给定理论或模型的核心假设的测试,但这种模糊性也可能是一种特征,允许通过概念的相互关联性质创造新的知识。我们从定量的角度探讨了这一争论,并调查了生态学中与一般术语“群落”相关的生态单位定义的模糊性所带来的成本。我们对与两种文献相关的测试进行了元分析,一种是哈贝尔的生物多样性和生物地理学统一中性理论,另一种是戴蒙德的集合规则,它们依赖于一个特定的生态单位,假设物种存在于一个局部地区,并且它们有重叠的资源需求。我们预测,如果模棱两可的术语普遍存在,那么研究人员将用许多不同的生态单位对它们进行测试,此外,其中一些生态单位将违反理论的核心假设,最后,如果使用适当的生态单位,理论的总体支持水平将更强。我们发现,在文献中确实使用了多个不同的生态单位来测试这两个理论,65%的适当生态单位用于中性理论测试,只有6%用于装配规则测试。最后,有一些证据表明,对理论的支持取决于是否使用适当的生态单位进行中性测试,但没有足够的数据用于装配规则测试。因此,这些结果表明,生态学中模棱两可的术语对研究产生了可衡量的影响,而不仅仅是哲学问题。我们主张作者在其写作中明确并概述理论的核心假设,研究人员在他们的测试中始终如一地应用这些假设,读者注意所写的内容并认识到他们潜在的偏见。
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Quantifying the Scientific Cost of Ambiguous Terminology in Community Ecology
ABSTRACT:Fundamental terms in the field of ecology are ambiguous, with multiple meanings associated with them. While this could lead to confusion, discord, or even tests that violate core assumptions of a given theory or model, this ambiguity could also be a feature that allows for new knowledge creation through the interconnected nature of concepts. We approached this debate from a quantitative perspective, and investigated the cost of ambiguity related to definitions of ecological units in ecology related to the general term "community." We did a meta-analysis of tests associated with two bodies of literature, Hubbell's unified neutral theory of biodiversity and biogeography and Diamond's assembly rules, that rely on a specific ecological unit that assumes that species are existing within a local area and that they have overlapping resource needs. We predicted that if ambiguous terminology is widespread, then researchers will have tested them with many different ecological units, that in addition some of these ecological units will violate the core assumptions of the theory, and finally that the overall level of support for a theory will be stronger if appropriate ecological units were used. We found that indeed multiple different ecological units were used in the literature to test both theories, with 65 percent appropriate ecological units for neutral theory tests, and only 6 percent for assembly rule tests. Finally, there was some evidence that the support for a theory depended on whether appropriate ecological units were used for neutral tests, but there was not enough data for the assembly rule tests. These results thus show that ambiguous terminology in ecology is having measurable effects on research and is not of solely philosophical concern. We advocate that authors be explicit in their writing and outline core assumptions of theories, that researchers apply these consistently in their tests, and that readers be attentive to what is written and cognizant of their potential biases.
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