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功能多样性驱动云南松天然次生林的生态系统多功能性。

Functional diversity drives ecosystem multifunctionality in a Pinus yunnanensis natural secondary forest.

机构信息

Research Institute of Resources Insects, Chinese Academy of Forestry, Kunming, 650224, China.

Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration, Kunming, 650224, China.

出版信息

Sci Rep. 2019 May 6;9(1):6979. doi: 10.1038/s41598-019-43475-1.

Abstract

It is essential to understand how the loss of biodiversity impacts both ecosystem function (EF) and multifunctionality (EMF). Previous studies have mostly focused on predicting how species richness (SR) impacts EMF, while the effect of functional diversity (FD) on EMF remains unclear. Specifically, we know little about the primary functional drivers impacting EMF compared with SR. Therefore, we analysed 8 ecosystem functions within 58 natural secondary forest plots to investigate the effect of FD on both individual EF and EMF. Our results suggest that SR and FD had very significant positive effects on plant phosphorus, soil available phosphorus, and soil total nitrogen. FD explained significantly more variations in these functional responses than SR for individual ecosystem functioning. We also used a multiple threshold approach to test the effect of SR and FD on EMF. We found that FD and SR were positively related to EMF regardless of whether low-level function or high-level function was desired, but FD had a larger effect than SR. Based on the averaging approach, OLS regression, multivariate linear regression model and random forest analysis, we found that SR and FD were both drivers of EMF but that FD had a stronger effect and could explain more variation. As such, we conclude that FD drives ecosystem multifunctionality more than SR.

摘要

了解生物多样性的丧失如何影响生态系统功能(EF)和多功能性(EMF)至关重要。以前的研究主要集中在预测物种丰富度(SR)如何影响 EMF,而功能多样性(FD)对 EMF 的影响尚不清楚。具体来说,与 SR 相比,我们对影响 EMF 的主要功能驱动因素知之甚少。因此,我们分析了 58 个自然次生林样地的 8 种生态系统功能,以研究 FD 对单个 EF 和 EMF 的影响。我们的研究结果表明,SR 和 FD 对植物磷、土壤有效磷和土壤全氮有非常显著的正影响。FD 对这些功能响应的解释比 SR 更显著。我们还使用多阈值方法来测试 SR 和 FD 对 EMF 的影响。我们发现,无论需要低水平功能还是高水平功能,FD 和 SR 都与 EMF 呈正相关,但 FD 的影响大于 SR。基于平均值法、OLS 回归、多元线性回归模型和随机森林分析,我们发现 SR 和 FD 都是 EMF 的驱动因素,但 FD 的影响更强,可以解释更多的变化。因此,我们得出结论,FD 比 SR 更能驱动生态系统的多功能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5af6/6502788/8a2f47c4741d/41598_2019_43475_Fig1_HTML.jpg

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