High‐resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature

High‐resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature
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高分辨率热图像揭示了树冠结构和遗传学之间的相互作用如何影响植物温度

DOI:
10.1002/rse2.359
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发表时间:
2023
影响因子:
5.5
通讯作者:
Buerki, Sven
Buerki, Sven
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Olsoy, Peter J.;Zaiats, Andrii;Delparte, Donna M.;Germino, Matthew J.;Richardson, Bryce A.;Roop, Spencer;Roser, Anna V.;Forbey, Jennifer S.;Cattau, Megan E.;Buerki, Sven

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了解环境胁迫和遗传变异之间的相互作用对于预测物种对气候变化的适应能力至关重要。叶温是植物对热胁迫生理反应的驱动因子和响应指标,需要对其进行监测的方法。叶片温度在叶片到冠层尺度上各不相同,并受到遗传因素的影响,这对绘制和模拟这一关键变量的工作提出了挑战。使用无人机系统(UAS)收集的热成像提供了一种创新的方法,可以以叶级分辨率测量景观中植物的热变化。我们使用了一个配备了热成像仪的无人机来评估遗传上不同的大山艾(Artemisia tridentata)种群之间的温度变化,这是一种关键的植物物种,是北美西部大部分地区密集恢复工作的重点。我们完成了整个生长季节的飞行在一个山艾属灌木常见的花园映射叶温度相对于亚种和细胞型,植物的生理表型,和夏季高温胁迫。我们的目标是(1)确定叶片水平的气孔导度是否与冠温的变化相对应;(2)量化遗传(即,亚种和细胞型)对叶和冠层温度变化的贡献;(3)确定冠层结构、太阳辐射和亚种细胞型与叶水平温度的关系。当考虑在整个季节,气孔导度是负的,非线性相关冠层温度来自UAS。亚种身份最好地解释了冠层温度,细胞型之间没有观察到差异。然而,结构表型和小气候最能解释叶水平温度。这些结果表明,精细尺度的热映射可以解耦遗传,表型和小气候因素对叶温动态的贡献。随着气候变化引起的热胁迫变得普遍,热UAS代表了一种有前途的方法来跟踪从基因与环境相互作用中出现的植物表型。
Understanding interactions between environmental stress and genetic variation is crucial to predict the adaptive capacity of species to climate change. Leaf temperature is both a driver and a responsive indicator of plant physiological response to thermal stress, and methods to monitor it are needed. Foliar temperatures vary across leaf to canopy scales and are influenced by genetic factors, challenging efforts to map and model this critical variable. Thermal imagery collected using unoccupied aerial systems (UAS) offers an innovative way to measure thermal variation in plants across landscapes at leaf‐level resolutions. We used a UAS equipped with a thermal camera to assess temperature variation among genetically distinct populations of big sagebrush (Artemisia tridentata), a keystone plant species that is the focus of intensive restoration efforts throughout much of western North America. We completed flights across a growing season in a sagebrush common garden to map leaf temperature relative to subspecies and cytotype, physiological phenotypes of plants, and summer heat stress. Our objectives were to (1) determine whether leaf‐level stomatal conductance corresponds with changes in crown temperature; (2) quantify genetic (i.e., subspecies and cytotype) contributions to variation in leaf and crown temperatures; and (3) identify how crown structure, solar radiation, and subspecies‐cytotype relate to leaf‐level temperature. When considered across the whole season, stomatal conductance was negatively, non‐linearly correlated with crown‐level temperature derived from UAS. Subspecies identity best explained crown‐level temperature with no difference observed between cytotypes. However, structural phenotypes and microclimate best explained leaf‐level temperature. These results show how fine‐scale thermal mapping can decouple the contribution of genetic, phenotypic, and microclimate factors on leaf temperature dynamics. As climate‐change‐induced heat stress becomes prevalent, thermal UAS represents a promising way to track plant phenotypes that emerge from gene‐by‐environment interactions.
DOI: --
发表时间: 2021
期刊: Remote Sensing
影响因子: 5
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DOI: 10.1111/1365-2664.12679
发表时间: 2017-02-01
影响因子: 5.7
作者:
Brabec, Martha M.;Germino, Matthew J.;Richardson, Bryce A.
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DOI: 10.1111/gcb.15042
发表时间: 2020
影响因子: 11.6
作者:
J. Margalef;M. A. Pérez‐Navarro;F. Lloret
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利用景观基因组学来识别沙漠一年生中未来的气候适应基因型
DOI: --
发表时间: 2020
期刊: Molecular Ecology
影响因子: 4.9
作者:
Daniel F. Shryock;L. K. Washburn;L. DeFalco;T. Esque
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大山艾树(Artemisia tridentata)植物身高沿土壤-水梯度的差异:遗传成分。
DOI: --
发表时间: 1986
期刊:
影响因子: --
作者:
J. Barker;C. Mckell
通讯作者: C. Mckell