title: Biogeographic patterns of nutrient resorption from Quercus variabilis Blume leaves across China.
abstract: The variation in nutrient resorption has been studied at different taxonomic levels and geographic ranges. However, the variable traits of nutrient resorption at the individual species level across its distribution are poorly understood. We examined the variability and environmental controls of leaf nutrient resorption of Quercus variabilis, a widely distributed species of important ecological and economic value in China. The mean resorption efficiency was highest for phosphorus (P), followed by potassium (K), nitrogen (N), sulphur (S), magnesium (Mg) and carbon (C). Resorption efficiencies and proficiencies were strongly affected by climate and respective nutrients concentrations in soils and green leaves, but had little association with leaf mass per area. Climate factors, especially growing season length, were dominant drivers of nutrient resorption efficiencies, except for C, which was strongly related to green leaf C status. In contrast, green leaf nutritional status was the primary controlling factor of leaf nutrient proficiencies, except for C. Resorption efficiencies of N, P, K and S increased significantly with latitude, and were negatively related to growing season length and mean annual temperature. In turn, N, P, K and S in senesced leaves decreased with latitude, likely due to their efficient resorption response to variation in climate, but increased for Mg and did not change for C. Our results indicate that the nutrient resorption efficiency and proficiency of Q. variabilis differed strongly among nutrients, as well as growing environments. Our findings provide important insights into understanding the nutrient conservation strategy at the individual species level and its possible influence on nutrient cycling.
authors.affiliation: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.|College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China.
authors.forename: X
authors.initials: X
authors.lastname: Sun
authors.affiliation: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
authors.forename: H
authors.initials: H
authors.lastname: Kang
authors.affiliation: Faculty of Natural Resources Management, Lakehead University, Thunder Bay, ON, Canada.
authors.forename: H Y H
authors.initials: HY
authors.lastname: Chen
authors.affiliation: Department of Forest Sciences, University of Helsinki, Helsinki, Finland.
authors.forename: B
authors.initials: B
authors.lastname: Björn
authors.affiliation: Faculty of Natural Resources Management, Lakehead University, Thunder Bay, ON, Canada.
authors.forename: B F
authors.initials: BF
authors.lastname: Samuel
authors.affiliation: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.|Research Centre for Low Carbon Agriculture, Shanghai Jiao Tong University, Shanghai, China.
authors.forename: C
authors.initials: C
authors.lastname: Liu
mesh_terms: D002244:Carbon / Q000378:metabolism*; D002980:Climate; D009584:Nitrogen / Q000378:metabolism*; D010758:Phosphorus / Q000378:metabolism*; D018515:Plant Leaves / Q000502:physiology*; D011188:Potassium / Q000378:metabolism*; D029963:Quercus / Q000502:physiology*; D012621:Seasons; D012987:Soil / Q000737:chemistry; D013696:Temperature
chemical_list: D012987:Soil; D010758:Phosphorus; D002244:Carbon; D009584:Nitrogen; D011188:Potassium
keywords: Climate; intraspecific variation; latitudinal pattern; nutrient resorption; soil and green leaf characteristics