Song Shuzhen, Xiong Kangning, Chi Yongkuan
School of Karst Science, Guizhou Normal University, Guiyang, China.
State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang, China.
Front Plant Sci. 2023 Dec 12;14:1239190. doi: 10.3389/fpls.2023.1239190. eCollection 2023.
Plant functional traits serve as a bridge between plants, the environment, and ecosystem function, playing an important role in predicting the changes in ecosystem function that occur during ecological restoration. However, the response of grassland ecosystem function to plant functional traits in the context of ecological restoration in areas of karst desertification remains unclear. Therefore, in this study, we selected five plant functional traits [namely, plant height (H), specific leaf area (SLA), leaf dry matter content (LDMC), root length (RL), and root dry matter content (RDMC)], measured these along with community-weighted mean (CWM) and functional trait diversity, and combined these measures with 10 indexes related to ecosystem function in order to investigate the differences in plant functional traits and ecosystem function, as well as the relationship between plant functional traits and ecosystem functions, under four ecological restoration models [ (DG), (LP), + (LT), and natural grassland (NG)]. We found that: 1) the Margalef index and Shannon-Wiener index were significantly lower for plant species in DG and LP than for those in NG (<0.05), while the Simpson index was significantly higher in the former than in NG (<0.05); 2) CWM, CWM, and CWM were significantly higher in DG, LP, and LT than in NG, while CWM was significantly lower in the former than in NG (<0.05). The functional richness index (FRic) was significantly higher in DG and LP than in NG and LT, but the functional dispersion index (FDis) and Rao's quadratic entropy index (RaoQ) were significantly lower in DG and LP than in NG and LT (<0.05), and there was no significant difference between DG and LP, or between NG and LT (>0.05); 3) ecosystem function, including ecosystem productivity, carbon storage, water conservation and soil conservation, was highest in LT and lowest in NG; and 4) CWM (F=56.7, P=0.024), CWM (F=28.7, P=0.024), and CWM (F=4.5, P=0.048) were the main factors affecting ecosystem function. The results showed that the mixed pasture of perennial ryegrass and white clover was most conductive to restoration of ecosystem function. This discovery has important implications for the establishment of vegetation, optimal utilization of resources, and the sustainable development of degraded karst ecosystems.
植物功能性状是连接植物、环境和生态系统功能的桥梁,在预测生态恢复过程中生态系统功能的变化方面发挥着重要作用。然而,在喀斯特石漠化地区生态恢复背景下,草地生态系统功能对植物功能性状的响应仍不清楚。因此,在本研究中,我们选取了五个植物功能性状[即株高(H)、比叶面积(SLA)、叶片干物质含量(LDMC)、根长(RL)和根干物质含量(RDMC)],对这些性状以及群落加权均值(CWM)和功能性状多样性进行了测量,并将这些测量结果与10个与生态系统功能相关的指标相结合,以研究在四种生态恢复模式[(DG)、(LP)、+(LT)和天然草地(NG)]下植物功能性状和生态系统功能的差异,以及植物功能性状与生态系统功能之间的关系。我们发现:1)DG和LP中植物物种的Margalef指数和Shannon-Wiener指数显著低于NG中的植物物种(<0.05),而前者的Simpson指数显著高于NG中的Simpson指数(<0.05);2)DG、LP和LT中的CWM、CWM和CWM显著高于NG中的,而前者的CWM显著低于NG中的(<0.05)。DG和LP中的功能丰富度指数(FRic)显著高于NG和LT中的,但DG和LP中的功能离散度指数(FDis)和Rao二次熵指数(RaoQ)显著低于NG和LT中的(<0.05),且DG和LP之间、NG和LT之间无显著差异(>0.05);3)包括生态系统生产力、碳储存、节水和土壤保持在内的生态系统功能在LT中最高,在NG中最低;4)CWM(F = 56.7,P = 0.024)、CWM(F = 28.7,P = 0.024)和CWM(F = 4.5,P = 0.048)是影响生态系统功能的主要因素。结果表明,多年生黑麦草和白三叶的混播草地最有利于生态系统功能的恢复。这一发现对退化喀斯特生态系统的植被建立、资源优化利用和可持续发展具有重要意义。