长白山牛皮杜鹃群落物种多样性的海拔梯度变化及相似性

采用样地调查法,研究了牛皮杜鹃群落物种组成、群落结构特征、物种多样性及其沿海拔梯度的变化规律,对不同海拔牛皮杜鹃群落进行相似性分析。结果表明:(1)牛皮杜鹃群落相同海拔高度,草本层的物种多样性普遍高于灌木层的物种多样性。自海拔1926—1986m,灌木层α多样性指数先降低后升高,1986m后再次降低,到达海拔2010m处达到最低点,适应高山苔原带特殊生境条件的物种逐渐增多,多样性指数开始回升。海拔2250m,生物多样性指数的变化趋于平缓,物种组成相对较为稳定。海拔2528m以上,生物多样性再次呈降低趋势。草本层的α多样性指数中,物种多样性指数SW、丰富度指数D和均匀度指数R沿海拔梯度的变化趋势大致相同。海拔1986m处时出现最小值,海拔2350m时达最大值。牛皮杜鹃群落α多样性指数间呈P0.01水平极显著正相关性,物种丰富度指数对群落的物种多样性贡献率最大,表现为丰富度指数(D1、D2)种间机遇指数(H)生态优势度指数(SN)群落均匀度指数(R)。(2)牛皮杜鹃群落β多样性沿海拔梯度基本呈波形变化,草本层β多样性指数普遍高于灌木层β多样性指数。在牛皮杜鹃群落物种沿海拔梯度的替换速率上,草本植物高于灌木物种。Routledge指数的变化趋势不显著。海拔1986m处和海拔2250m处,草本层Cody指数出现两处极值,海拔2250m以上群落灌木层之间差异和变化较小,Whittaker多样性指数和Cody指数逐渐趋于平稳。(3)海拔梯度间生境及群落结构差异性越大,生物多样性变化越明显。海拔高度接近的群落间相似性系数较高,海拔是影响牛皮杜鹃群落差异的主要因素。     

秦岭华山松群落特征研究

通过对秦岭华山松林的野外调查,分析研究了该群落的特征和性质。结果表明：秦岭林区华山松群落主要分布于海拔1100～2100m的中山地带;华山松群落内物种相当丰富,共有81科174属346种;落叶阔叶乔木与落叶阔叶灌木在群落中占很大的比例;群落中草质叶型的植物260种,占80．5％,表明群落的落叶性;华山松群落中乔木层、灌木层、草本层的大多数比较常见的属都属于北温带分布,表明群落植物区系组成的温带性质。     

退化天坑倒石坡林下优势物种生态位特征

以典型的中度退化天坑——巴家陷塘天坑为例,对其倒石坡生态交错带森林群落优势种种群进行生态位特征分析,以期为喀斯特天坑的生物多样性保护及天坑地表区域植被的生态修复提供科学参考.结果表明:土壤养分铵态氮、速效钾、有效磷相较于土壤水分和温度对天坑物种分布影响最显著,解释量分别为37.4%、32.8%、29.3%.随着天坑倒石坡坡位(坑口-上坡位-中坡位-下坡位-坑底)的变化,其林下植物生活型由常绿旱生向常绿湿中生变化,草本种群生态位重叠程度较灌木种群更大.灌木植物密花荚蒾、小雀花和草本植物一把伞南星、荩草有较宽的生态幅和抗逆性,占据天坑林下灌草层的上层.随着土壤碱性不断加强,灌木植物长圆叶梾木和草本植物尼泊尔老鹳草、黄龙尾失去竞争力.巴家陷塘林下优势种的生态位特征与针阔混交林的冠层结构、林下灌草的生态策略、天坑独特的生境、优势物种的重要值等密切相关.     

长白山苔原草本植物入侵与土壤环境的关系

在对长白山高山苔原西坡样带内132个样方进行植被调查和土壤取样分析的基础上,应用冗余分析(RDA)和典型相关分析方法,探讨了草本植物入侵苔原带程度与苔原土理化性质及环境之间的关系。研究表明,长白山苔原带西坡草本入侵程度区域差异明显,可分为5个不同的入侵等级;海拔、坡度、全钾含量、粘粒含量、有机质含量等10种土壤环境因子与草本植物入侵程度明显相关。RDA分析表明土壤环境因子能解释93%的植物物种多度信息,影响草本植物入侵的主要土壤因子是有机质含量,粘粒含量和坡度;第一对典型变量说明有机质含量与牛皮杜鹃多度正相关,与大白花地榆多度负相关,粘粒含量则相反;第二对典型变量说明海拔、速效氮含量与笃斯越桔、长白老鹳草多度呈负相关。长白山苔原带西坡草本植物在空间分布上是离散的,呈斑块状。可见,草本植物入侵,对生境是有所选择的。土壤有机质含量与灌木多度呈正相关,说明在草本入侵过程中,土壤有机质含量会减少;或者有机质含量减少的地方,灌木生长退化,草本由此开始侵入定植。     

长白山苔原带凋落物生态化学计量特征及其对模拟氮沉降的响应

长白山苔原是我国乃至欧亚大陆东部独有的高山苔原,根据前人调查植被以灌木苔原为主要类型。在全球变暖背景下,近30年来,长白山岳桦林下的草本植物侵入苔原带,原生灌木苔原分化为灌木苔原、灌草苔原和草本苔原,形成了灌木、灌草混合和草本3种不同类型的凋落物,凋落物数量和质量发生显著改变。与此同时长白山苔原氮沉降量也在逐年增加,导致了土壤中氮的累积,势必影响凋落物的分解。凋落物作为连接植物和土壤的纽带,其分解过程中碳（C）、氮（N）、磷（P）等化学组分和化学计量比的变化直接和间接影响着土壤养分有效性和植物养分利用策略。为揭示氮沉降增加对长白山苔原带不同类型凋落物化学组分及生态化学计量特征早期变化的影响,开展了为期8个月的模拟氮沉降室内凋落物分解实验。在苔原带采集灌木优势种牛皮杜鹃和草本优势种小叶章的凋落物带回实验室,模拟灌木牛皮杜鹃群落、灌草混合的牛皮杜鹃-小叶章群落和草本小叶章群落的3种不同类型凋落物,设置三个施氮处理：对照（CK,0 g N m^-2 a^-1）、低氮（LN,10 g N m^-2 a^-1）、高氮（HN,20 g N m^-2 a^-1）。研究表明：（1）不施氮处理时,3种凋落物的C、P均呈释放状态,木质素（Li）呈先累积再略有降解趋势;牛皮杜鹃凋落物的N元素富集而其余两种凋落物N元素呈释放状态;灌草混合和草本凋落物比原生的灌木凋落物C和N元素释放快、Li累积少;而灌木凋落物的P释放略快于灌草和草本凋落物。3种植被类型凋落物的C/N、C/P、Li/N大小表现为：牛皮杜鹃凋落物>牛皮杜鹃-小叶章混生群落凋落物>小叶章凋落物;N/P表现为：小叶章凋落物>牛皮杜鹃凋落物>牛皮杜鹃-小叶章混生群落凋落物。（2）氮沉降促进3种类型凋落物分解过程中C、N和P化学组分的释放,且氮浓度越高促进作用越显著。在牛皮杜鹃凋落物分解过程中,氮素添加到达某一阈值后,其C/N、C/P、N/P、Li/N的降幅最大,后续若再增加氮素,其对化学计量比的影响均会减弱;本实验中的氮素添加量增加促进了小叶章凋落物的C/N、Li/N下降。（3）草本植物入侵引起凋落物类型的变化带来凋落物分解加快,将导致长白山苔原带养分循环的变化;氮沉降增加对小叶章凋落物化学组分的释放及C/N、Li/N的下降更为促进,小叶章凋落物内难分解化合物减少,分解受到促进。高氮沉降加快了小叶章凋落物与土壤、草本植物之间的养分循环。因此,随着未来苔原带氮沉降量的增加,将更有利于小叶章在与牛皮杜鹃的竞争中获胜,使苔原带呈现草甸化趋势。     

环境因子对北京低山区低效林林下植被物种组成和丰富度的影响

本文探讨了北京低山区油松、刺槐、侧柏3种典型低效林林下植物组成和物种丰富度与环境因子之间的关系,以揭示不同层次物种组成对环境因子的响应,确定影响灌草2层物种丰富度的主要环境因子。在北京低山区设置34个样地进行群落学调查的基础上,运用CCA排序法分析灌木和草本2层的物种组成与海拔、坡向、坡位、坡度、郁闭度共5个环境因子之间的关系,偏CCA测算各环境因子的重要程度,灰色关联度评估各环境因子对物种丰富度的作用大小。结果表明:海拔和坡度对灌木层物种组成的净效应达到显著水平(P0.05),郁闭度对草本层物种组成的净效应达到显著水平(P0.05)。坡度与灌木层物种丰富度的灰色关联度值为0.734,海拔与草本层物种丰富度的灰色关联度值为0.700。灌草2层的物种组成和物种丰富度对环境因子的响应存在差异,海拔和坡度是影响灌木层物种组成最主要的环境因子,郁闭度是影响草本层物种组成最主要的环境因子;坡度和海拔分别是影响灌木层和草本层物种丰富度最主要的环境因子。     

三江源区祁连圆柏群落物种多样性沿海拔梯度的变化格局

采取典型样地法,以三江源保护分区的麦秀林场、中铁林场的祁连圆柏天然群落为研究对象,调查群落内物种盖度、多度、频度等,分析了物种组成和α多样性、β多样性对海拔梯度的响应,旨在对当地物种多样性保护及经济作物的培育提供参考,同时为青海省柏树生态系统服务功能评价提供理论依据。结果表明：(1)样地内共调查到植物72种,隶属27科58属,其中裸子植物1科1属1种,双子叶植物21科48属61种,单子叶植物5科9属10种,并以菊科在群落里种类最多。(2)植物物种丰富度表现为：草本层>灌木层>乔木层,乔木层以祁连圆柏占绝对优势,灌、草层的物种丰富度在海拔梯度上则呈明显的“偏锋”格局,且均在海拔3 150 m处达到最大值。(3)随着海拔的上升,灌木层及草本层α多样性呈“波动”形变化趋势,均在海拔3 550 m处达到最低值。(4)灌木层的Cody指数在海拔2 950~3 150 m段达到峰值,草本层在海拔3 150~3 350 m处达到峰值;Sorenson指数灌木层在海拔2 950~3 150 m和3 350~3 550 m处均出现峰值,草本层在海拔2 950~3 150 m处出现峰值。研究认为,三江源保护区在生态修复过程中,应在低海拔地区加强管护,控制人为干扰的强度,并加大当地经济植物资源培育与利用,以增加农牧民的收益。     

坡位对北京东灵山辽东栎林物种多度分布的影响

海拔与坡位是气象因子和立地因子的综合表现.坡位影响环境因子在空间上的分布状况,与海拔共同营造物种生存的小生境,形成群落多度格局.本文选用5个描述种-多度关系的生态位模型(断棍模型BSM、生态位优先占领模型NPM、生态位重叠模型ONM、随机分配模型RAM、优势优先模型DPM),对北京东灵山辽东栎林的乔、灌、草3个层沿海拔梯度分别在上、中、下坡位进行群落多度格局调查.结果表明:在乔木层,从低海拔到高海拔、从下坡位到上坡位,能很好地反应群落多度格局变异的模型有由RAM、NPM向DPM过渡的趋势;能很好地拟合灌木层群落多度格局的生态位模型依次是NPM、BSM、RAM,DPM在高海拔地段拟合的效果也很好;BSM在草本层的拟合效果最好,其次是NPM和ONM.协方差分析表明,海拔和坡位都没有对辽东栎林的群落多度格局产生显薯影响.     

山西五台山高山林线的植被景观

 过草本植物群落的分类和排序,结合对乔木和灌木分布的分析,确定了五台山高山林线的几条植被界线以及五台山森林上限附近植被的性质。结果表明：1）阳坡林线的海拔范围为2 605～2 790 m,阴坡林线的海拔范围为2 810～3 015 m;2）草本植物群落随海拔高度的变化比较明显,阴坡和阳坡从郁闭林到山顶均依次分布林下草本层、林缘草甸、亚高山灌丛草甸、高山草甸,草本植物的分布很好地体现了林线内部景观的差异性;3）海拔高度是高山林线附近草本植物群落空间分异的决定性因素。     

北京九龙山植物群落物种多样性特征对比分析

根据对北京九龙山植物群落的样地调查数据,采用Shannon-Wiener多样性指数、群落均匀度和生态优势度指标研究了九龙山封育植被乔灌草各层的物种多样性,并分别就阳坡和阴坡进行了乔木材、灌价群落的指标对比分析,结果表明,这3种指标能够有效地表征暖温带植物群落的组成结构特征,在九龙山封育植被中,阴阳坡的灌丛群落与乔木材相比,其灌木层的物种多样性Shannon-Wiener指数D高于乔木林中乔木层,而低于其灌木层;灌丛群落的草本层Shannon-Wiener指数小于乔木材中草本层;乔木材的草本层的物种多样性Shannon-Wiener指数大于灌木层,灌木层又大于乔木层,而生态优势度系数C在上述3种比较中与Shannon-Wiener指数表现相反,而群落均匀度指数J在比较中阴阳坡的表现不同,最后讨论了九龙坡地区植被演替序列及加速其进展演替的恢复措施。     

三江并流地区干旱河谷植物物种多样性海拔梯度格局比较

在滇西北三江并流地区典型干旱河谷段, 在怒江、澜沧江和金沙江的东、西坡共设置了6条海拔梯度样带, 通过标准样地的植物群落调查, 分析各条样带植物的物种丰富度、物种更替率的海拔梯度格局, 并比较了地理和植被变量对分布格局的解释。干旱河谷植被带位于海拔3,000 m以下, 以灌丛和灌草丛为主, 其在各河谷的分布上限自西向东依次升高。植物物种丰富度的分布主要与海拔、流域、经纬度和植被带有关, 沿纬度和海拔梯度升高而显著增加的格局主要表现在草本层和灌木层, 灌木物种丰富度还呈现自西向东显著增加的趋势。怒江的灌木和草本种物种丰富度显著高于金沙江和澜沧江, 三条江的乔木种丰富度差异则不显著。森林带的样方草本物种丰富度显著低于灌草丛带样方, 并且还拥有后者没有的乔木种。不同样带的植物物种更替速率呈现了不一致的海拔梯度格局, 但均在样带海拔下部的灌草丛群落与海拔上部森林群落之间的交错带出现峰值。森林-灌草丛植被交错带在怒江样带处于海拔1,900-2,100 m处, 在澜沧江河谷位于海拔2,300-2,400 m, 在金沙江河谷位于海拔2,700-2,900 m。所有海拔样带的森林段或灌草丛段相对于同一样带不同植被段之间的物种更替程度为最小, 不仅小于同一流域不同样带相同植被段之间物种更替率的均值, 更小于所有样带相同植被段之间的更替率均值。在三条河流6条海拔样带的12个植被带段之间的物种更替变化中, 空间隔离因素可以解释34.2%, 而植被类型差异仅能解释不到0.5%。本研究结果显示了环境差异对不同植被类型物种丰富度的首要影响, 和各河流之间的空间隔离对植物群落构建和物种构成的主要作用。     

Seasonal dynamics of mobile carbon supply in Quercus aquifolioides at the upper elevational limit

Many studies have tried to explain the physiological mechanisms of the alpine treeline phenomenon, but the debate on the alpine treeline formation remains controversial due to opposite results from different studies. The present study explored the carbon-physiology of an alpine shrub species (Quercus aquifolioides) grown at its upper elevational limit compared to lower elevations, to test whether the elevational limit of alpine shrubs (<3 m in height) are determined by carbon limitation or growth limitation. We studied the seasonal variations in non-structural carbohydrate (NSC) and its pool size in Q. aquifolioides grown at 3000 m, 3500 m, and at its elevational limit of 3950 m above sea level (a.s.l.) on Zheduo Mt., SW China. The tissue NSC concentrations along the elevational gradient varied significantly with season, reflecting the season-dependent carbon balance. The NSC levels in tissues were lowest at the beginning of the growing season, indicating that plants used the winter reserve storage for re-growth in the early spring. During the growing season, plants grown at the elevational limit did not show lower NSC concentrations compared to plants at lower elevations, but during the winter season, storage tissues, especially roots, had significantly lower NSC concentrations in plants at the elevational limit compared to lower elevations. The present results suggest the significance of winter reserve in storage tissues, which may determine the winter survival and early-spring re-growth of Q. aquifolioides shrubs at high elevation, leading to the formation of the uppermost distribution limit. This result is consistent with a recent hypothesis for the alpine treeline formation.     

The role of shrub (Potentilla fruticosa) on ecosystem CO2 fluxes in an alpine shrub meadow

Aims Recent studies have shown that alpine meadows on the Qinghai-Tibetan plateau act as significant CO₂ sinks. On the plateau, alpine shrub meadow is one of typical grassland ecosystems. The major alpine shrub on the plateau is Potentilla fruticosa L. (Rosaceae), which is distributed widely from 3 200 to 4 000 m. Shrub species play an important role on carbon sequestration in grassland ecosystems. In addition, alpine shrubs are sensitive to climate change such as global warming. Considering global warming, the biomass and productivity of P. fruticosa will increase on Qinghai-Tibetan Plateau. Thus, understanding the carbon dynamics in alpine shrub meadow and the role of shrubs around the upper distribution limit at present is essential to predict the change in carbon sequestration on the plateau. However, the role of shrubs on the carbon dynamics in alpine shrub meadow remains unclear. The objectives of the present study were to evaluate the magnitude of CO₂ exchange of P. fruticosa shrub patches around the upper distribution limit and to elucidate the role of P. fruticosa on ecosystem CO₂ fluxes in an alpine meadow.Methods We used the static acrylic chamber technique to measure and estimate the net ecosystem productivity (NEP), ecosystem respiration (R e), and gross primary productivity (GPP) of P. fruticosa shrub patches at three elevations around the species' upper distribution limit. Ecosystem CO₂ fluxes and environmental factors were measured from 17 to 20 July 2008 at 3 400, 3 600, and 3 800 m a.s.l. We examined the maximum GPP at infinite light (GPP max) and maximum R e (R emax) during the experimental time at each elevation in relation to aboveground biomass and environmental factors, including air and soil temperature, and soil water content.Important findings Patches of P. fruticosa around the species' upper distribution limit absorbed CO₂, at least during the daytime. Maximum NEP at infinite light (NEP max) and GPP max of shrub patches in the alpine meadow varied among the three elevations, with the highest values at 3 400 m and the lowest at 3 800 m. GPP max was positively correlated with the green biomass of P. fruticosa more strongly than with total green biomass, suggesting that P. fruticosa is the major contributor to CO₂ uptake in the alpine shrub meadow. Air temperature influenced the potential GPP at the shrub-patch scale. R emax was correlated with aboveground biomass and R emax normalized by aboveground biomass was influenced by soil water content. Potentilla fruticosa height (biomass) and frequency increased clearly as elevation decreased, which promotes the large-scale spatial variation of carbon uptake and the strength of the carbon sink at lower elevations.     

Rhododendron aureum Georgi formed a special soil microbial community and competed with above‐ground plants on the tundra of the Changbai Mountain,China

Rhododendron aureum Georgi is a perennial evergreen dwarf shrub that grows at all elevations within the alpine tundra of northern China. Previous research has investigated the plant communities of R. aureum; however, little information is available regarding interspecific competition and underground soil microbial community composition. The objective of our study was to determine whether the presence of R. aureum creates a unique soil microbiome and to investigate the relationship between R. aureum and other plant species. Our study site ranged from 1,800 to 2,600 m above sea level on the northern slope of the Changbai Mountain. The results show that the soil from sites with an R. aureum community had a higher abundance of nitrogen‐fixing bacteria and a higher resistance to pathogens than soils from sites without R. aureum. We emphasize that R. aureum promotes a unique soil microbial community structure that is distinct from those associated with other plants. Elevation and microbial biomass were the main influencing factors for plant community structure. Analysis of interspecific relationships reveals that R. aureum is negatively associated with most other dominant shrubs and herbs, suggesting interspecific competition. It is necessary to focus on other dominant species if protection and restoration of the R. aureum competition is to occur. In the future, more is needed to prove whether R. aureum decreases species diversity in the tundra ecosystems of Changbai Mountain.     

Climatic warming strengthens a positive feedback between alpine shrubs and fire

Climate change is expected to increase fire activity and woody plant encroachment in arctic and alpine landscapes. However, the extent to which these increases interact to affect the structure, function and composition of alpine ecosystems is largely unknown. Here we use field surveys and experimental manipulations to examine how warming and fire affect recruitment, seedling growth and seedling survival in four dominant Australian alpine shrubs. We found that fire increased establishment of shrub seedlings by as much as 33‐fold. Experimental warming also doubled growth rates of tall shrub seedlings and could potentially increase their survival. By contrast, warming had no effect on shrub recruitment, postfire tussock regeneration, or how tussock grass affected shrub seedling growth and survival. These findings indicate that warming, coupled with more frequent or severe fires, will likely result in an increase in the cover and abundance of evergreen shrubs. Given that shrubs are one of the most flammable components in alpine and tundra environments, warming is likely to strengthen an existing feedback between woody species abundance and fire in these ecosystems.     

Bryoflora of the Alpine Tundra of Changbai Mountain and Its Floristic Relationship to the Bryofloras of Arctic Tundras

The alpine tundra of Changbai Mountain is situa,ed in 41º53′–42º04′N, 127º57′–128º11′E and at elevations ranging from 1950(2000) –2749.2 m. There are 67 genera and 135 species of bryophytes in the alpine tundra, belonging to following five distribution types (DT): Cosmo-politan DT (50 genera, 29 species), North Temperate DT (14, 79), Eastern Asian-North American Discontinuous DT (1, 1), Eurasian Temperate DT (1, 10), Eastern Asian DT (1, 16). The alpine tundra of Changbai Mountain shares 55 genera and 103 species of bryophytes with arctic tundras.     

贺兰山低山区土壤种子库空间分布特征北大核心CSCD

土壤种子库作为地上植被更新的潜在种源,在植被自然恢复和演替过程以及生态系统建设中起着重要作用。该研究对贺兰山低山区不同海拔高度植物群落土壤理化性质变化与其土壤种子库特征之间的关系进行分析,以揭示贺兰山低山区植物群落的土壤种子库空间分布特征和自然恢复潜力。研究结果表明:(1)海拔1200 m处种子主要来源于一年生草本,海拔1600 m土壤种子库主要来源于多年生草本,海拔2000 m土壤种子库主要来源于灌木和小灌木;随着海拔升高,隶属于禾本科的物种数呈下降趋势,菊科和藜科呈增加趋势,蒺藜科、大戟科、豆科和玄参科消失。(2)5个海拔高度土壤种子库物种数均显著低于地上植被;在物种生活型组成上,土壤种子库中物种数占比最大为一年生草本,地上植被为多年生草本。(3)土壤理化性质对种子库物种多样性影响中,土壤pH、电导率最为显著。贺兰山低山区5个海拔高度土壤种子库种子密度和物种多样性均较低,无法满足植被自然恢复需求,可通过飞播等生态恢复措施来弥补表层土壤种子的不足,从而满足地上植被恢复所需种源量。     

长白山高山冻原种子植物的调查

通过多次对长白山高山冻原的实地考察,统计得到冻原种子植物共计34科、94属、146种,有6种属的分布区类型(包括3个变型),北温带分布类型最多,占总属数的68.09%。在整个冻原上,草本有125种,占总数的85.62%,其中多年生草本124种。高山冻原植物中具有多种生态,生理适应方式,低矮平卧状植株、极矮小草本、密集丛生是植物的重要适应方式,细长密集须根是冻原上主要的适应方式,占植物总数的54.94%。果实中干果共计137种,其中蒴果56种。由于高山冻原上生态环境十分残酷,极易受人为因素的影响。     

Changes in the structure and function of northern Alaskan ecosystems when considering variable leaf‐out times across groupings of species in a dynamic vegetation model

The phenology of arctic ecosystems is driven primarily by abiotic forces, with temperature acting as the main determinant of growing season onset and leaf budburst in the spring. However, while the plant species in arctic ecosystems require differing amounts of accumulated heat for leaf‐out, dynamic vegetation models simulated over regional to global scales typically assume some average leaf‐out for all of the species within an ecosystem. Here, we make use of air temperature records and observations of spring leaf phenology collected across dominant groupings of species (dwarf birch shrubs, willow shrubs, other deciduous shrubs, grasses, sedges, and forbs) in arctic and boreal ecosystems in Alaska. We then parameterize a dynamic vegetation model based on these data for four types of tundra ecosystems (heath tundra, shrub tundra, wet sedge tundra, and tussock tundra), as well as ecotonal boreal white spruce forest, and perform model simulations for the years 1970–2100. Over the course of the model simulations, we found changes in ecosystem composition under this new phenology algorithm compared with simulations with the previous phenology algorithm. These changes were the result of the differential timing of leaf‐out, as well as the ability for the groupings of species to compete for nitrogen and light availability. Regionally, there were differences in the trends of the carbon pools and fluxes between the new phenology algorithm and the previous phenology algorithm, although these differences depended on the future climate scenario. These findings indicate the importance of leaf phenology data collection by species and across the various ecosystem types within the highly heterogeneous Arctic landscape, and that dynamic vegetation models should consider variation in leaf‐out by groupings of species within these ecosystems to make more accurate projections of future plant distributions and carbon cycling in Arctic regions.