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基于模型的种群分类中的种内形态变异与环境驱动因素

Intraspecific morphological variation and environmental drivers in : a model-based population classification.

作者信息

Peña Denisse F, Villena Paulina, Curillo Diana, Jiménez Carlos A, Ordoñez Eduardo, Jadán Oswaldo

机构信息

Grupo de Biotecnología Agropecuaria, Facultad de Ciencias Agropecuarias, Universidad de Cuenca, Cuenca, Ecuador.

Instituto Nacional de Investigaciones Agropecuarias (INIAP), Gualaceo, Ecuador.

出版信息

Front Plant Sci. 2025 Aug 12;16:1645659. doi: 10.3389/fpls.2025.1645659. eCollection 2025.

Abstract

INTRODUCTION

, an ecologically and culturally important species of the Ericaceae family, inhabits the montane forests of southern Ecuador and exhibits significant but understudied intraspecific morphological variation. Understanding this variation and its environmental drivers is crucial for effective conservation and restoration planning, particularly in a changing climate.

METHODS

We analyzed 15 quantitative traits in 200 individuals from four populations located in the Azuay and Cañar provinces to identify morphological groups and assess their environmental drivers. Hierarchical clustering and Random Forest classification were employed to detect distinct morphological groups. Additionally, generalized linear models were used to evaluate the influence of climatic seasonality and spatial autocorrelation on the most relevant traits.

RESULTS

We identified two distinct morphological groups, primarily differentiated by seed number per fruit, fruit humidity, fruit length and width, and petiole length traits that together explained over 75% of the observed variation. Climatic seasonality and spatial autocorrelation significantly influenced these key traits. Notably, seed number and fruit length responded strongly to variations in temperature and precipitation, while traits such as fruit humidity and petiole length showed moderate sensitivity to environmental gradients. A Random Forest classification model, based on the most relevant traits, achieved 99.5% accuracy, enabling robust assignment of new individuals into morphological groups.

DISCUSSION

Our findings highlight the influence of environmental heterogeneity on intraspecific differentiation in and provide evidence for local adaptation along climatic gradients. This study offers a novel framework for trait-based classification and emphasizes the importance of integrating morphological variation and environmental factors into conservation planning. By identifying environmentally driven morphological groups, these results can inform seed sourcing strategies and restoration efforts aimed at enhancing ecosystem resilience in the montane forests of southern Ecuador.

摘要

引言

是杜鹃花科一种在生态和文化方面具有重要意义的物种,栖息于厄瓜多尔南部的山地森林,种内形态变异显著但研究不足。了解这种变异及其环境驱动因素对于有效的保护和恢复规划至关重要,尤其是在气候变化的背景下。

方法

我们分析了来自阿苏艾省和卡尼亚尔省四个种群的200个个体的15个数量性状,以识别形态学组并评估其环境驱动因素。采用层次聚类和随机森林分类法来检测不同的形态学组。此外,使用广义线性模型来评估气候季节性和空间自相关对最相关性状的影响。

结果

我们识别出两个不同的形态学组,主要区别在于每个果实的种子数、果实湿度、果实长度和宽度以及叶柄长度性状,这些性状共同解释了超过75%的观察到的变异。气候季节性和空间自相关对这些关键性状有显著影响。值得注意的是,种子数和果实长度对温度和降水的变化反应强烈,而果实湿度和叶柄长度等性状对环境梯度表现出中等敏感性。基于最相关性状的随机森林分类模型准确率达到99.5%,能够将新个体可靠地分配到形态学组中。

讨论

我们的研究结果突出了环境异质性对 种内分化的影响,并为沿气候梯度的局部适应提供了证据。本研究提供了一个基于性状分类的新框架,并强调将形态变异和环境因素纳入保护规划的重要性。通过识别受环境驱动的形态学组,这些结果可为种子采集策略和恢复工作提供信息,旨在增强厄瓜多尔南部山地森林的生态系统恢复力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79c4/12378330/01a7df3d07bb/fpls-16-1645659-g001.jpg

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