Rapid Climate Acclimation (Not Traits or Phylogeny) Drives Variation in Photosynthesis Temperature Response

IF 12 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Josef C. Garen, Sean T. Michaletz
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Abstract

Understanding variation in plant assimilation-temperature (AT) responses is essential for improving forecasts of climate change feedbacks and their impacts on the biosphere. Previous studies have focused on acclimation to weather or adaptation to climate of origin, but relationships between AT response parameters and leaf functional traits or phylogeny have received little attention. To evaluate the influence of climate, traits, and phylogeny on AT response, we used the new Fast Assimilation-Temperature Response (FAsTeR) gas exchange method to measure 243 AT response curves in 102 species from 96 families grown in a common garden. We also quantified climate variables, saturating light intensity, and key leaf functional traits. Local environmental conditions were the strongest predictors of AT response parameters. The optimal temperature for photosynthesis responded positively to recent air temperature and light exposure (partial r2 = 0.27 and 0.53, respectively), and was best predicted by mean air temperature on the day of measurement; other AT parameters exhibited weak or no relationships with recent air temperature (all partial r2 < 0.1). AT response parameters showed no phylogenetic structure and only modest variation with leaf functional traits or climate of origin (all partial r2 < 0.07). Plant AT responses were primarily driven by acclimation to local climate variables, rather than adaptation to climate of origin. Thermal acclimation of photosynthesis occurred on much shorter timescales than expected (≤ 1 day). These findings underscore the need to account for rapid acclimation in Earth system models and climate change forecasts.

Abstract Image

快速气候适应(不是性状或系统发育)驱动光合作用温度响应的变化
了解植物同化温度(AT)响应的变化对改善气候变化反馈及其对生物圈影响的预测至关重要。以往的研究主要集中在对天气的适应或对原产地气候的适应上,但AT响应参数与叶片功能性状或系统发育之间的关系很少受到关注。为了评估气候、性状和系统发育对水分响应的影响,采用快速同化-温度响应(FAsTeR)气体交换法测量了普通园林96科102种植物的243条水分响应曲线。我们还量化了气候变量、饱和光强度和关键叶片功能性状。当地环境条件是AT响应参数的最强预测因子。光合作用的最适温度与近期气温和光暴露呈正相关(偏r2分别为0.27和0.53),以测量当天的平均气温预测最优;其他AT参数与近期气温的关系较弱或没有关系(均偏r2 <; 0.1)。AT响应参数不存在系统发育结构,仅与叶片功能性状或原产地气候有适度变化(均偏r2 <; 0.07)。植物AT响应主要受对当地气候变量的适应驱动,而不是对原产气候的适应。光合作用的热驯化发生的时间比预期的短得多(≤1天)。这些发现强调了在地球系统模型和气候变化预测中考虑快速适应的必要性。
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来源期刊
Global Change Biology
Global Change Biology 环境科学-环境科学
CiteScore
21.50
自引率
5.20%
发文量
497
审稿时长
3.3 months
期刊介绍: Global Change Biology is an environmental change journal committed to shaping the future and addressing the world's most pressing challenges, including sustainability, climate change, environmental protection, food and water safety, and global health. Dedicated to fostering a profound understanding of the impacts of global change on biological systems and offering innovative solutions, the journal publishes a diverse range of content, including primary research articles, technical advances, research reviews, reports, opinions, perspectives, commentaries, and letters. Starting with the 2024 volume, Global Change Biology will transition to an online-only format, enhancing accessibility and contributing to the evolution of scholarly communication.
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