4.6 Article

Patterns and driving factors of leaf C, N, and P stoichiometry in two forest types with different stand ages in a mid-subtropical zone

Journal

FOREST ECOSYSTEMS
Volume 9, Issue -, Pages -

Publisher

KEAI PUBLISHING LTD
DOI: 10.1016/j.fecs.2022.100005

Keywords

Leaf stoichiometry; C; N; P ratios; Environmental factors; Stand age groups; Chinese fir forest; Natural evergreen broadleaved forest

Categories

Funding

  1. National Natural Science Foundation of China [31971643]
  2. Industry-University Cooperation Project of Fujian Science and Technology Department [2020N5008, 2019N5009]
  3. General program of Natural Science Foundation of Fujian Province of China [2018J01737]
  4. Minjiang Scholar Programme
  5. Special Funding Project of Fujian Provincial Department of Finance [SC-299]

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Leaf stoichiometry differs among forest stands of different age groups and forest types. The leaf C, N, and P stoichiometry in Chinese fir forests is mainly influenced by soil total P concentration, longitude, growing season precipitation, and mean temperature in July. In natural evergreen broadleaved forests, leaf stoichiometric parameters are significantly correlated with latitude and mean annual precipitation.
Background: Carbon (C), nitrogen (N), and phosphorus (P) stoichiometry is a key indicator of nutrient utilization in plants, and C/N/P ratios are related to the life histories and adaptation strategies of tree species. However, no consensus has been reached on how leaf stoichiometric characteristics are affected by forest type and stand ages. The relationships between leaf stoichiometry and geographical, meteorological, and soil factors also remain poorly understood. Methods: Leaf and soil were sampled from forest stands of different age groups (young, middle-aged, near-mature, and mature) in two forest types (Chinese fir (Cunninghamia lanceolata) forests and evergreen broadleaved forests). The relationships between leaf C, N, and P stoichiometric parameters and geographical, meteorological, and soil factors were analysed by using redundancy analysis (RDA) and stepwise linear regression analysis. Results: Leaf C concentrations peaked in the near-mature stands with increasing age irrespective of forest type. Leaf N and P concentrations fluctuated with a rising trend in Chinese fir forests, while decreased first and increased later from young to mature phases in natural evergreen broadleaved forests. Chinese fir forests were primarily limited by N and P, while natural evergreen broadleaved forests were more susceptible to P limitation. Leaf C, N, and P stoichiometric characteristics in Chinese fir forests were mainly affected by the soil total P concentration (SP), longitude (LNG), growing season precipitation (GSP) and mean temperature in July (JUT). The leaf C concentration was mainly affected by GSP and JUT; leaf N and P concentrations were both positively correlated with LNG; and leaf P was positively correlated with SP. In evergreen broadleaved forests, however, leaf stoichiometric parameters displayed significant correlations with latitude (LAT) and mean annual precipitation (MAP). Conclusions: Leaf stoichiometry differed among forest stands of different age groups and forest types. Leaf C, N, and P stoichiometry was primarily explained by the combinations of SP, LNG, GSP and JUT in Chinese fir forests. LAT and MAP were the main controlling factors affecting the variations in the leaf C, N, and P status in natural evergreen broadleaved forests, which supports the temperature-plant physiological hypothesis. These findings improve the understanding of the distribution patterns and driving mechanisms of leaf stoichiometry linked with stand age and forest type.

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