出 处:《生态学报》2025年第4期1816-1828,共13页Acta Ecologica Sinica
基 金:国家自然科学基金(42271302)。
摘 要:海拔通过影响气温、降水以及土壤养分含量进而影响植物生长,探究植物功能性状随海拔的变化关系,能够明确植物随海拔变化的适应策略,有助于揭示不同海拔下的植物功能性状经济谱效应,对亚高山草地生态系统管理和生态修复提供重要依据。以芦芽山国家级自然保护区为研究区,选取1600m、1800m、2000m、2200m和2600m五个海拔梯度,测定植物功能性状和土壤养分含量等指标,研究亚高山草地植物功能性状随海拔变化的经济谱效应。结果表明:(1)随着海拔升高,比叶面积(SLA)、叶片氮含量(LNC)、叶片磷含量(LPC)、比根长(SRL)、比根表面积(SRA)、根氮含量(RNC)和根磷含量(RPC)显著升高(P<0.05),叶干物质含量(LDMC)显著降低(P<0.05),而叶碳含量(LCC)与根碳含量(RCC)无明显变化趋势(P>0.05)。(2)不同海拔之间植物功能性状差异显著,Rao二次熵指数随海拔升高呈现先增大后减小再增大的变化趋势。(3)RDA冗余分析表明,海拔是影响功能性状的关键因素(解释率40.4%,P=0.002)。研究分析了不同海拔梯度下的植物功能性状经济谱,表明芦芽山亚高山草地植物通过资源保守型向资源获取型适应策略的转变,来应对海拔升高带来的环境变化。Altitude influences plant growth by affecting temperature,precipitation,and soil nutrient contents.Plants adapt to altitudinal gradients through various strategies,characterized by the trade-offs of plant functional traits along with the environmental gradients,i.e.economic spectrum of plant functional traits.Understanding the relationship between plant functional traits and altitude is crucial for elucidating plant adaptive strategies in response to altitude changes.In addition,it helps to reveal the economic spectrum effects of plant functional traits across various altitudes,offering vital insights for the management and ecological restoration of subalpine grassland ecosystems.This study took the Luya Mountain National Nature Reserve as the study area,attempting to explore the economic spectrum effects of plant community functional traits across altitudinal gradients.Five altitude grades were taken as 1600m,1800m,2000m,2200m and 2600m respectively.Through field sampling,surveying and laboratory experiments,we measured index of plant functional traits,plant community characteristics,and soil nutrients contents.The major results were as follows:(1)Specific leaf area(SLA),leaf nitrogen content(LNC),leaf phosphorus content(LPC),specific root length(SRL),specific root area(SRA),root nitrogen content(RCC)and root phosphorus content(RPC)showed increasing tendency along with altitudinal increase(P<0.05),in sharp contrast with a significant reduction in leaf dry matter content(LDMC)with altitudinal increase(P<0.05).Neither leaf carbon content(LCC)nor root carbon content(RCC)displayed a clear trend in relation to increasing altitude(P>0.05).(2)Under the combined influence of altitude,slope,and soil nitrogen and phosphorus content,significant differences in plant functional traits were observed across different altitudes.Rao′s quadratic entropy index showed a pattern of initial increase,subsequent decrease,and a final resurgence with altitude.(3)Redundancy analysis(RDA)revealed that altitude is the key factor influenci
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