Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN, USA.
Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland.
Proc Biol Sci. 2021 Sep 8;288(1958):20211290. doi: 10.1098/rspb.2021.1290. Epub 2021 Sep 1.
Reflectance spectra provide integrative measures of plant phenotypes by capturing chemical, morphological, anatomical and architectural trait information. Here, we investigate the linkages between plant spectral variation, and spectral and resource-use complementarity that contribute to ecosystem productivity. In both a forest and prairie grassland diversity experiment, we delineated -dimensional hypervolumes using wavelength bands of reflectance spectra to test the association between the spectral space occupied by individual plants and their growth, as well as between the spectral space occupied by plant communities and ecosystem productivity. We show that the spectral space occupied by individuals increased with their growth, and the spectral space occupied by plant communities increased with ecosystem productivity. Furthermore, ecosystem productivity was better explained by inter-individual spectral complementarity than by the large spectral space occupied by productive individuals. Our results indicate that spectral hypervolumes of plants can reflect ecological strategies that shape community composition and ecosystem function, and that spectral complementarity can reveal resource-use complementarity.
反射光谱通过捕捉植物的化学、形态、解剖和结构特征信息,为植物表型提供综合测量。在这里,我们研究了植物光谱变化与光谱和资源利用互补性之间的联系,这些联系有助于生态系统生产力。在森林和草原草地多样性实验中,我们使用反射光谱的波长带划定了多维超体积,以测试个体植物所占据的光谱空间与其生长之间的关联,以及植物群落所占据的光谱空间与生态系统生产力之间的关联。我们发现,个体所占据的光谱空间随着其生长而增加,而植物群落所占据的光谱空间随着生态系统生产力的增加而增加。此外,与个体的大光谱空间相比,个体之间的光谱互补性更好地解释了生态系统生产力。我们的结果表明,植物的光谱超体积可以反映塑造群落组成和生态系统功能的生态策略,而光谱互补性可以揭示资源利用的互补性。