title: Dynamic spatial patterns of leaf traits affect total respiration on the crown scale.
abstract: Temporal and spatial variations of leaf traits caused conflicting conclusions and great estimating errors of total carbon budget on crown scales. However, there is no effective method to quantitatively describe and study heterogeneous patterns of crowns yet. In this study, dynamic spatial patterns of typical ecological factors on crown scales were investigated during two sky conditions, and CEZs (crown ecological zones) method was developed for spatial crown zoning, within which leaf traits were statistically unchanged. The influencing factors on hourly and spatial variations of leaf dark respiration (Rd) were analysed, and total crown respiration (Rt) was estimated based on patterns of CEZs. The results showed that dynamic spatial patterns of air temperature and light intensity changed significantly by CEZs in special periods and positions, but not continuously. The contributions of influencing factors on variations of Rd changed with crown depth and sky conditions, and total contributions of leaf structural and chemical traits were higher during sunny days than ecological factors, but lower during cloudy days. The estimated errors of Rt may be obviously reduced with CEZs. These results provided some references for scaling from leaves to crown, and technical foundations for expanding lab-control experiments to open field ones.
authors.affiliation: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology (SKLURE), Beijing 100085, PR China.
authors.forename: Xiaolin
authors.initials: X
authors.lastname: Wang
authors.affiliation: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology (SKLURE), Beijing 100085, PR China.
authors.forename: Hongxuan
authors.initials: H
authors.lastname: Zhou
authors.affiliation: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology (SKLURE), Beijing 100085, PR China.
authors.forename: Fengsen
authors.initials: F
authors.lastname: Han
authors.affiliation: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology (SKLURE), Beijing 100085, PR China.
authors.forename: Yuanzheng
authors.initials: Y
authors.lastname: Li
authors.affiliation: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology (SKLURE), Beijing 100085, PR China.
authors.forename: Dan
authors.initials: D
authors.lastname: Hu
mesh_terms: D010101:Oxygen Consumption / Q000502:physiology*; D018515:Plant Leaves / Q000235:genetics* / Q000378:metabolism*; D027861:Prunus / Q000502:physiology*; D019655:Quantitative Trait, Heritable