生化和生理数据收集

Oldřich Tomášek, A. Cohen, E. Fenollosa, Maurizio Mencuccini, S. Munné‐Bosch, F. Pelletier
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引用次数: 1

摘要

生理和生化特征作为各种生物和环境变量的潜在代用物(生物标志物),在人口统计学研究中具有很大的前景,这些变量决定了个体的适应性和最终的人口统计学比率。因此,将这些生物标记物整合到人口统计模型中可以提供对人口动态驱动因素的见解,或者通过改进对生命率的估计来提高模型的预测能力。与传统的人口统计学方法相比,生物标志物也代表了在更短的时间尺度上表征人口结构和动态的有希望的手段。功能性状进一步成为保护功能多样性的直接目标。然而,生物标志物和功能特征在人口统计学和种群生态学中仍未得到充分利用,这表明它们的益处仍有待更广泛的认识。本章简要回顾了动植物人口统计学研究中可能感兴趣的最突出的生理生化特征(如代谢率、激素、氧化应激标记物、端粒),包括收集、储存和分析的方法,以及在这些特征被验证为生物标记物之前需要满足的标准。希望这一努力将促进生理和生化数据进一步整合到人口统计学框架中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biochemical and physiological data collection
Physiological and biochemical traits hold great promise for demographic research as potential proxies (biomarkers) of various biotic and environmental variables that determine individual fitness and ultimately demographic rates. Integrating such biomarkers into demographic models can thus provide insights into drivers of population dynamics or increase predictive power of the models by refining estimation of vital rates. Biomarkers also represent promising means to characterise population structure and dynamics on much shorter time-scales compared to classical demographic approaches. Functional traits further emerge as direct targets of conservation efforts directed towards conserving functional diversity. Yet, biomarkers and functional traits remain underutilised in demography and population ecology, indicating that their benefits still await wider recognition. This chapter briefly reviews the most prominent physiological and biochemical traits (e.g. metabolic rates, hormones, oxidative stress markers, telomeres) that may be of interest in animal and plant demographic research, including the methods for collection, storage, and analysis, and the criteria to be met before the trait is validated as a biomarker. Hopefully, this effort will stimulate further integration of physiological and biochemical data into demographic framework.
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