Linking leaf hyperspectral reflectance to gene expression.

IF 8.9 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Communications Earth & Environment Pub Date : 2025-01-01 Epub Date: 2025-08-23 DOI:10.1038/s43247-025-02696-1
Yanni Chen, Logan Monks, Vanessa E Rubio, Alexander J Cox, Nathan G Swenson
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引用次数: 0

Abstract

Forest diversity and dynamics are governed by the interactions between organismal function and the abiotic and biotic environment. Functional traits have been widely employed in forest ecology to estimate key functional tradeoffs related to tree performance in a given environment. Hyperspectral reflectance data are utilized in ecology to predict functional trait values at the individual tree or pixel scale on broad spatial extents, but the diversity of functions captured by these traits is limited. Here, we demonstrate a novel integration of reflectance and to gene expression data for processes of interest to ecologists. We show linkages between the expression of ecologically important genes and reflectance data and the potential to transform the depth at which ecologists can rapidly estimate functional diversity.

Abstract Image

Abstract Image

Abstract Image

叶片高光谱反射率与基因表达的关联。
森林多样性和动态是由生物功能与非生物和生物环境之间的相互作用所控制的。在森林生态学中,功能性状被广泛用于评估特定环境中与树木性能相关的关键功能权衡。生态学中利用高光谱反射率数据来预测单树或像素尺度的功能性状值,但这些性状所捕获的功能多样性有限。在这里,我们展示了对生态学家感兴趣的过程的反射和基因表达数据的新整合。我们展示了生态上重要基因的表达和反射数据之间的联系,以及改变生态学家能够快速估计功能多样性的深度的潜力。
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来源期刊
Communications Earth & Environment
Communications Earth & Environment Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
8.60
自引率
2.50%
发文量
269
审稿时长
26 weeks
期刊介绍: Communications Earth & Environment is an open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of the Earth, environmental and planetary sciences. Research papers published by the journal represent significant advances that bring new insight to a specialized area in Earth science, planetary science or environmental science. Communications Earth & Environment has a 2-year impact factor of 7.9 (2022 Journal Citation Reports®). Articles published in the journal in 2022 were downloaded 1,412,858 times. Median time from submission to the first editorial decision is 8 days.
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