Cryptic phenology in plants: Case studies, implications, and recommendations.,Global Change Biology

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Cryptic phenology in plants: Case studies, implications, and recommendations.
Global Change Biology ( IF 10.8 ) Pub Date : 2019-08-22 , DOI: 10.1111/gcb.14759
Loren P Albert _{1,

2} , Natalia Restrepo-Coupe _{1,

3} , Marielle N Smith ₁ , Jin Wu _{4,

5} , Cecilia Chavana-Bryant _{6,

7,

8} , Neill Prohaska ₁ , Tyeen C Taylor ₁ , Giordane A Martins ₉ , Philippe Ciais ₁₀ , Jiafu Mao ₁₁ , M Altaf Arain ₁₂ , Wei Li _{10,

13} , Xiaoying Shi ₁₁ , Daniel M Ricciuto ₁₁ , Travis E Huxman ₁₄ , Sean M McMahon ₁₅ , Scott R Saleska ₁

Affiliation

Department of Ecology and Evolutionary Biology, The University of Arizona, Tucson, AZ, USA.
Institute at Brown for Environment and Society, Brown University, Providence, RI, USA.
School of Life Science, University of Technology Sydney, Ultimo, NSW, Australia.
Biological, Environmental & Climate Sciences Department, Brookhaven National Laboratory, New York, NY, USA.
School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA, USA.
Ciências de Florestas Tropicais, Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace, Gif sur Yvette, France.
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
School of Geography and Earth Sciences & McMaster Centre for Climate Change, McMaster University, Hamilton, ON, Canada.
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing, China.
Ecology and Evolutionary Biology & Center for Environmental Biology, University of California, Irvine, CA, USA.
Smithsonian Institution's Forest Global Earth Observatory & Smithsonian Environmental Research Center, Edgewater, MD, USA.

Plant phenology-the timing of cyclic or recurrent biological events in plants-offers insight into the ecology, evolution, and seasonality of plant-mediated ecosystem processes. Traditionally studied phenologies are readily apparent, such as flowering events, germination timing, and season-initiating budbreak. However, a broad range of phenologies that are fundamental to the ecology and evolution of plants, and to global biogeochemical cycles and climate change predictions, have been neglected because they are "cryptic"-that is, hidden from view (e.g., root production) or difficult to distinguish and interpret based on common measurements at typical scales of examination (e.g., leaf turnover in evergreen forests). We illustrate how capturing cryptic phenology can advance scientific understanding with two case studies: wood phenology in a deciduous forest of the northeastern USA and leaf phenology in tropical evergreen forests of Amazonia. Drawing on these case studies and other literature, we argue that conceptualizing and characterizing cryptic plant phenology is needed for understanding and accurate prediction at many scales from organisms to ecosystems. We recommend avenues of empirical and modeling research to accelerate discovery of cryptic phenological patterns, to understand their causes and consequences, and to represent these processes in terrestrial biosphere models.

中文翻译：

植物的隐身物候：案例研究，含义和建议。

植物物候学-植物中周期性或周期性生物事件的发生时间-提供有关植物介导的生态系统过程的生态，进化和季节性的洞察力。传统研究的物候现象很明显，例如开花事件，发芽时机和季节引发的芽期。但是，对于植物的生态学和进化，全球生物地球化学循环和气候变化预测至关重要的各种物候被忽略了，因为它们是“隐性的”，也就是说，它们是看不见的（例如，根生）或难以根据一般检查尺度上的常见测量值来区分和解释（例如，常绿森林中的叶片周转）。我们通过两个案例研究来说明如何捕获隐秘物候学可以促进科学理解：美国东北落叶林的木材物候学和亚马逊热带常绿森林中的叶子物候。借助这些案例研究和其他文献，我们认为，从生物到生态系统的许多尺度上，对隐性植物物候学进行概念化和表征是理解和准确预测所必需的。我们建议进行经验和模型研究的途径，以加快发现隐秘物候模式，了解其原因和后果，并在陆地生物圈模型中代表这些过程。我们认为，对于从生物到生态系统的许多尺度的理解和准确预测，都需要对隐性植物物候进行概念化和表征。我们建议进行经验和模型研究的途径，以加快发现隐秘物候模式，了解其原因和后果，并在陆地生物圈模型中代表这些过程。我们认为，对于从生物到生态系统的许多尺度的理解和准确预测，都需要对隐性植物物候进行概念化和表征。我们建议进行经验和模型研究的途径，以加快发现隐秘物候模式，了解其原因和后果，并在陆地生物圈模型中代表这些过程。

更新日期：2019-08-22

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