文献类型：期刊文献

英文题名：Selective Logging Effects on Plant Functional Traits Depend on Soil Enzyme Activity and Nutrient Cycling in a Pinus Yunnanensis Forest

作者：Huang, Xiaobo[1,2] Chen, Jianying[3] Li, Shuaifeng[1,2] Sua, Jianrong[2]

第一作者：黄小波;Huang, Xiaobo

机构：[1] Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, 650224, China; [2] Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration, Kunming, 650224, China; [3] Forest Seed and Seedling Station of Yunnan Province, Kunming, 650215, China

年份：2023

外文期刊名：SSRN

收录：EI(收录号：20232914422711);Scopus(收录号：2-s2.0-85165162026)

语种：英文

外文关键词：Enzyme activity - Forestry - Nitrogen - Phosphatases

摘要：Selective logging has a wide impact on the remaining trees and soils which in turn influences total ecosystem function. Despite the growing number of studies on selective logging and plant functional traits, the effect of selective logging on plant functional traits is still unclear. Thus, we studied 6 plant functional traits including leaf N concentration (LNC), leaf P concentration (LPC), leaf N:P ratio (N:P), wood density (WD), specific leaf area (SLA), and leaf dry mass content (LDMC). These traits are typically associated with resource acquisition and allocation. We measured these traits across 13 tree species in 52 plots under 5 selective logging intensities in a Pinus yunnanensis forest and aimed to test how selective logging and soil factors affect community weighted mean (CWM) plant functional traits. The results showed that there was a significant positive correlation between LNC and LPC, LNC and SLA, LPC and SLA, N:P and LDMC. We also identified a significant negative correlation between LNC and LDMC, LPC and N:P, LPC and LDMC. Among the soil factors, only soil β-glucosidase activity (SGA), soil phosphatase activity (SPA), soil total nitrogen (STN), soil total phosphorus (STP) and soil hydrolysable nitrogen (SHN) had a significant relationship with one or several of the 6 plant functional traits. Compared with the control group, there was little significant difference in all plant functional traits across the different selective logging intensities. However, for plant functional traits, selective logging was significantly positively correlated with LNC, LPC and SLA. For soil factors, selective logging was significantly positively correlated with SGA, soil urease activity (SUA), SPA, soil moisture (SM), STN, STP and SHN. Based on structural equation models, we found that selective logging improved LNC mainly by increasing SPA and STN; improved SLA and LPC mainly by increasing SPA and STN, respectively; improved WD and LDMC only by increasing SGA; decreased N:P by increasing the SHN. The results suggest that the mechanism of selective logging affecting different functional traits may be varied. Our findings provide a theoretical basis for the scientific management of Pinus yunnanensis forest. Because plant functional traits respond to different environmental factors, future research should incorporate more functional traits into ecological models and apply the conclusions obtained in sustainable forest management. ? 2023, The Authors. All rights reserved.