温带气候
北方的
下层林
泰加语
适应
光合作用
每年落叶的
生态学
环境科学
航程(航空)
温带雨林
温带森林
生态系统
植物功能类型
全球变暖
光合能力
生物
大气科学
气候变化
植物
天蓬
材料科学
复合材料
地质学
作者
Kerrie M. Sendall,Peter B. Reich,Changming Zhao,Jihua Hou,Xiaorong Wei,Artur Stefański,Karen E. Rice,Roy Rich,Rebecca Montgomery
摘要
Abstract Rising temperatures caused by climate change could negatively alter plant ecosystems if temperatures exceed optimal temperatures for carbon gain. Such changes may threaten temperature‐sensitive species, causing local extinctions and range migrations. This study examined the optimal temperature of net photosynthesis ( T opt ) of two boreal and four temperate deciduous tree species grown in the field in northern Minnesota, United States under two contrasting temperature regimes. We hypothesized that T opt would be higher in temperate than co‐occurring boreal species, with temperate species exhibiting greater plasticity in T opt , resulting in better acclimation to elevated temperatures. The chamberless experiment, located at two sites in both open and understory conditions, continuously warmed plants and soils during three growing seasons. Results show a modest, but significant shift in T opt of 1.1 ± 0.21 °C on average for plants subjected to a mean 2.9 ± 0.01 °C warming during midday hours in summer, and shifts with warming were unrelated to species native ranges. The 1.1 °C shift in T opt with 2.9 °C warming might be interpreted as suggesting limited capacity to shift temperature response functions to better match changes in temperature. However, T opt of warmed plants was as well‐matched with prior midday temperatures as T opt of plants in the ambient treatment, and T opt in both treatments was at a level where realized photosynthesis was within 90–95% of maximum. These results suggest that seedlings of all species were close to optimizing photosynthetic temperature responses, and equally so in both temperature treatments. Our study suggests that temperate and boreal species have considerable capacity to match their photosynthetic temperature response functions to prevailing growing season temperatures that occur today and to those that will likely occur in the coming decades under climate change.
科研通智能强力驱动
Strongly Powered by AbleSci AI