首页|Nutrient resorption strategies of three oak tree species in response to interannual climate variability

Nutrient resorption strategies of three oak tree species in response to interannual climate variability

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Background:Nutrient resorption is critical for plants toward balancing their nutritional requirements and adapting to environmental variabilities,which further impacts litter quality and nutrient cycling.However,the interannual variability of nutrient resorption under climate change remains unclear.Methods:We investigated the five-year nutrient resorption efficiencies(NuRE,%)of 14 elements in three deciduous oak tree species(Quercus aliena var.acuteserrata,Q.glandulifera,and Q.variabilis)in a warm-temperate forest of Central China and assessed their relationships with interannual climate and soil factors.Results:Nutrient resorption did not differ between species but varied significantly between different years.For each year,N,P,S,K,C,Mg,and Zn were preferentially resorbed in all of the oak species in contrast to Ca,Na,Mn,Ba,Al,Fe,Cu,which were to some extent discriminated.Among the 14 elements,the NuRE of C,N,P,S,Ca,and Mg was more sensitive to interannual climate variations in the three oak species.The carbon resorption efficiency was significantly increased during the driest year of the study(2014);N resorption efficiency was reduced with temperature;whereas N and P resorption efficiency initially decreased and then increased with precipitation.Moreover,the elements with higher NuREs typically had lower coefficient of variation(CV)in all three oak species.Conclusions:Different oak species exhibited analogous nutrient conservation strategies in response to annual climate variabilities,and interannual climate variations strongly impacted plant nutrient resorption.Deciduous plants may establish a tradeoff mechanism to rebalance somatic nutrients for regrowth at the end of the growing season.

Nutrient resorptionTradeoff mechanismClimate changeQuercus spp.Temperate forests

Baoming Du、Huawei Ji、Shirong Liu、Hongzhang Kang、Shan Yin、Chunjiang Liu

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School of Agriculture and Biology,Shanghai Jiao Tong University,200240 Shanghai,China

Key Laboratory of Forest Ecology and Environment,China's State Forestry Administration,Research Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry,100091 Beijing,China

Shanghai Urban Forest Ecosystem Research Station,State Forestry Administration,200240 Shanghai,China

Shanghai Yangtze River Delta Eco-environmental Change and Management Observation and Research Station,Ministry of Science and Technology,200240 Shanghai,China

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National Key Technology Research and Development Program of ChinaNational Key Technology Research and Development Program of ChinaNational Key Technology Research and Development Program of ChinaNational Key Technology Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaChina Postdoctoral Science Foundation

2017YFC05055012016YFD06002062013BAD11B01NSFC 312706403177074620Z102060010

2021

森林生态系统(英文版)
北京林业大学

森林生态系统(英文版)

CSTPCDCSCDSCI
影响因子:0.09
ISSN:2095-6355
年,卷(期):2021.8(4)
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