CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Ecology. 2024 Sep;105(9):e4382. doi: 10.1002/ecy.4382. Epub 2024 Jul 26.
Conspecific negative density dependence (CNDD) is thought to be a key process in maintaining plant diversity. However, the strength of CNDD is highly variable in space and time as well as among species, and correlates of this variation that might help to understand and explain it remain largely unquantified. Using Bayesian hierarchical models, we took advantage of 10-year seedling monitoring data that were collected annually in every dry and rainy season in a seasonal tropical forest. We quantified the interspecific variation in the strength of CNDD and its temporal variation. We also examined potential correlates of this interspecific and temporal variation, including species functional traits (such as drought-tolerant traits, defense-related traits, and recourse acquisition traits) and species abundances. In the dry season, we found a negative relationship between the density of neighboring conspecific seedlings on seedling survival, while in the rainy season, there was a negative relationship between the density of neighboring conspecific adults on seedling survival. In addition, we found that interspecific variation in CNDD was related to drought-tolerant traits in the dry season but not in the rainy season. Across years, we found that drought-intolerant species suffer less CNDD during the dry seasons that have higher rainfall, whereas drought-tolerant species suffer less CNDD when the dry season has lower rainfall. We also found that rare species suffered stronger CNDD in the dry season. Overall, our study highlights that CNDD is highly variable among species and through time, necessitating a deeper appreciation of the environmental and functional contexts of CNDD and their interactions.
同物种负密度制约(CNDD)被认为是维持植物多样性的关键过程。然而,CNDD 的强度在空间和时间上以及在物种间具有高度的可变性,并且有助于理解和解释这种变异性的相关因素在很大程度上仍未被量化。利用贝叶斯层次模型,我们利用了在季节性热带森林中每年在旱季和雨季进行的为期 10 年的幼苗监测数据。我们量化了 CNDD 的种间变异及其时间变化。我们还研究了这种种间和时间变化的潜在相关因素,包括物种功能特征(如耐旱特征、防御相关特征和资源获取特征)和物种丰度。在旱季,我们发现相邻同种幼苗密度与幼苗存活率呈负相关关系,而在雨季,相邻同种成年树木密度与幼苗存活率呈负相关关系。此外,我们发现 CNDD 的种间变异与耐旱特征在旱季有关,但与雨季无关。跨年度,我们发现耐旱性差的物种在降雨量较高的旱季遭受的 CNDD 较少,而耐旱性强的物种在降雨量较低的旱季遭受的 CNDD 较少。我们还发现,稀有物种在旱季受到更强的 CNDD 影响。总体而言,我们的研究强调了 CNDD 在物种间和时间上具有高度的可变性,需要更深入地了解 CNDD 的环境和功能背景及其相互作用。