Cheng Huan, Gong Yuanbo, Zuo Xiaoan
College of Forestry, Sichuan Agricultural University, Chengdu, China.
Department of Biology, University of Maryland, College Park, MD, United States.
Front Plant Sci. 2021 Aug 11;12:674527. doi: 10.3389/fpls.2021.674527. eCollection 2021.
Clarifying the response of community and dominance species to climate change is crucial for disentangling the mechanism of the ecosystem evolution and predicting the prospective dynamics of communities under the global climate scenario. We examined how precipitation changes affect community structure and aboveground biomass (AGB) according to manipulated precipitation experiments in the desert steppe of Inner Mongolia, China. Bayesian model and structural equation models (SEM) were used to test variation and causal relationship among precipitation, plant diversity, functional attributes, and AGB. The results showed that the responses of species richness, evenness, and plant community weighted means traits to precipitation changes in amount and year were significant. The SEM demonstrated that precipitation change in amount and year has a direct effect on richness, evenness, and community-weighted mean (CWM) for height, leaf area (LA), specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen content (LNC), and leaf carbon content (LCC) and AGB; there into CWM for height and LDMC had a direct positive effect on AGB; LA had a direct negative effect on AGB. Three dominant species showed diverse adaptation and resource utilization strategies in response to precipitation changes. showed an increase in height under the precipitation treatments that promoted AGB, whereas the AGB of and was boosted through alterations in height and LA. Our results highlight the asynchronism of variation in community composition and structure, leaf functional traits in precipitation-AGB relationship. We proposed that altered AGB resulted from the direct and indirect effects of plant functional traits (plant height, LA, LDMC) rather than species diversity, plant functional traits are likely candidate traits, given that they are mechanistically linked to precipitation changes and affected aboveground biomass in a desert steppe.
阐明群落和优势物种对气候变化的响应,对于厘清生态系统演化机制以及预测全球气候情景下群落的未来动态至关重要。我们根据在中国内蒙古荒漠草原进行的人工降水实验,研究了降水变化如何影响群落结构和地上生物量(AGB)。采用贝叶斯模型和结构方程模型(SEM)来检验降水、植物多样性、功能属性和AGB之间的变化及因果关系。结果表明,物种丰富度、均匀度和植物群落加权平均性状对降水数量和年份变化的响应显著。SEM表明,降水数量和年份变化对丰富度、均匀度以及高度、叶面积(LA)、比叶面积(SLA)、叶干物质含量(LDMC)、叶氮含量(LNC)、叶碳含量(LCC)的群落加权平均值(CWM)和AGB有直接影响;其中高度和LDMC的CWM对AGB有直接正向影响;LA对AGB有直接负向影响。三种优势物种对降水变化表现出不同的适应和资源利用策略。在促进AGB的降水处理下, 的高度增加,而 和 的AGB则通过高度和LA的变化而增加。我们的研究结果突出了群落组成和结构、降水-AGB关系中叶功能性状变化的异步性。我们提出,AGB的改变是由植物功能性状(株高、LA、LDMC)的直接和间接影响导致而非物种多样性,鉴于植物功能性状与降水变化存在机制联系并影响荒漠草原的地上生物量,它们可能是候选性状。