September 16, 2022

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Differential impacts of adult trees on offspring and non-offspring recruits in a subtropical forest

The figures are the observed and expected sapling recruitment distribution estimated from the seedling distribution (A) and juvenile recruitment distribution estimated from the sapling distribution (B). These show that the peak recruitment distances of offspring shift away from mother trees over life stages, implying a higher mortality rate for seedlings recruiting near their mother trees. Credit: Science China Press
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The figures are the observed and expected sapling recruitment distribution estimated from the seedling distribution (A) and juvenile recruitment distribution estimated from the sapling distribution (B). These show that the peak recruitment distances of offspring shift away from mother trees over life stages, implying a higher mortality rate for seedlings recruiting near their mother trees. Credit: Science China Press

An important mechanism promoting species coexistence is conspecific negative density dependence (CNDD), which inhibits conspecific neighbors by accumulating host-specific enemies near adult trees and thus promoting species coexistence by freeing up space for heterospecific species.

Natural enemies may be genotype-specific. Whether within-species genetic relatedness between seedlings and adult neighbors regulates the strength of CNDD is one of the keys explaining the mechanism of species coexistence. However, this remains largely unexplored in natural forests due to the difficulty in assessing the parent-offspring relationship between individuals within .

Recently, a study from Dr. Keping Ma group, Institute of Botany, Chinese Academy of Sciences was conducted in a 24-ha subtropical evergreen broad-leaved forest dynamics plot. 3,002 individuals of the most dominant tree species Castanopsis eyrei were sampled and 12 were used to identify the parent-offspring relationship to estimate the effects of adult-seedling genetic relatedness on seedling recruitment.

The results show that 1) peak recruitment distances of offspring shift away from mother trees over life stages. Offspring have significantly lower recruitment efficiencies in the vicinity of mother trees. 2) Recruitment efficiency (proxy of survival probability) of offspring compared with non-offspring near adult trees during the seedling-sapling transition, suggesting genotype-dependent interactions drive tree demographic dynamics. 3) The genetic similarity between individuals of same cohort decreased in late life history stages, indicating genetic-relatedness-dependent tree mortality throughout ontogeny.

The figures show the recruitment efficiencies (RE, the recruit ratio of early life stage to the later) of offspring and nonoffspring during seedling–sapling (A) and sapling–juvenile (B) transitions along the distance from the focal trees for Castanopsis eyrei. These suggest higher survival chances for offspring when recruit far from their mother trees during seedling–sapling transition. Credit: Science China Press
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The figures show the recruitment efficiencies (RE, the recruit ratio of early life stage to the later) of offspring and nonoffspring during seedling–sapling (A) and sapling–juvenile (B) transitions along the distance from the focal trees for Castanopsis eyrei. These suggest higher survival chances for offspring when recruit far from their mother trees during seedling–sapling transition. Credit: Science China Press

Overall, the results indicate that the strength of CNDD and population dynamics depend on both and spatial distance to conspecific adults, implying genotype-specific may be a key driver. Further research on the interaction between genotype-specific enemies and their is essential to fully understand the underlying mechanisms of CNDD.

The research was published in Science China Life Sciences.

More information: Fang Wang et al, Differential impacts of adult trees on offspring and non-offspring recruits in a subtropical forest, Science China Life Sciences (2022). DOI: 10.1007/s11427-021-2148-7

Journal information: Science China Life Sciences

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