Half a century of Scots pine forest ecosystem monitoring reveals long‐term effects of atmospheric deposition and climate change

At two forest sites in Germany (Pfaffenwinkel, Pustert) stocked with mature Scots pine (Pinus sylvestris L.), we investigated changes of topsoil chemistry during the recent 40 years by soil inventories conducted on replicated control plots of fertilization experiments, allowing a statistical analysis. Additionally, we monitored the nutritional status of both stands from 1964 until 2019 and quantified stand growth during the monitoring period by repeated stand inventories. Moreover, we monitored climate variables (air temperature and precipitation) and calculated annual climatic water balances from 1991 to 2019. Atmospheric nitrogen (N) and sulfur (S) deposition between 1964 and 2019 was estimated for the period 1969–2019 by combining annual deposition measurements conducted in 1985–1987 and 2004 with long‐term deposition records from long‐term forest monitoring stations. We investigated interrelations between topsoil chemistry, stand nutrition, stand growth, deposition, and climate trends. At both sites, the onset of the new millennium was a turning point of important biogeochemical processes. Topsoil acidification turned into re‐alkalinization, soil organic matter (SOM) accumulation stopped, and likely turned into SOM depletion. In the new millennium, topsoil stocks of S and plant‐available phosphorus (P) as well as S and P concentrations in Scots pine foliage decreased substantially; yet, age‐referenced stand growth remained at levels far above those expected from yield table data. Tree P and S nutrition as well as climate change (increased temperature and drought stress) have replaced soil acidification as major future challenges for both forests. Understanding of P and S cycling and water fluxes in forest ecosystems, and consideration of these issues in forest management is important for successfully tackling the new challenges. Our study illustrates the importance of long‐term forest monitoring to identify slow, but substantial changes of forest biogeochemistry driven by natural and anthropogenic global change.     

不同林龄和密度对马尾松人工林凋落叶养分变化的影响

该文选择广西南宁市横县镇龙林场的4种林龄(幼龄林、中龄林、成熟林和过熟林)和4种密度(低密度林、中低密度林、中高密度林和高密度林)马尾松人工林共8种林分作为研究对象,分析了未破碎和破碎两个不同降解阶段的凋落叶C、N、P含量及其生态化学计量学特征。结果表明:(1)不同林龄中,凋落叶初始C、N含量在过熟林和成熟林中较高,P含量没有显著变化,且C∶N比值和C∶P比值从幼龄林到成熟林逐渐升高,说明较高林龄马尾松对N和P重吸收较低,而较低林龄马尾松对N和P重吸收较强,需要较大。(2)不同密度林中,随着林木密度的增加,凋落叶初始C含量逐渐升高,N含量无显著变化,P含量降低;高密度林凋落叶的初始C∶P比值和N∶P比值较高,说明高种植密度下马尾松可能对N和P养分的需求较大,P重吸收较强。(3)不同林龄和不同密度马尾松林的破碎凋落叶C含量、C∶N比值、C∶P比值和N∶P比值比未破碎凋落叶的低,N和P含量较高,说明凋落物在降解过程中出现N和P养分的富集现象。(4)中林龄和较高种植密度的马尾松破碎凋落叶与未破碎凋落物的C含量差值最大,C∶N比值和C∶P比值较低,说明这两种林分的凋落叶C的降解速率可能较大。上述结果说明,中龄林和中高、高密度林的马尾松可能对N和P养分的需求较大,重吸收效率较高,且凋落叶C的潜在分解速率较高,可能利于有机碳较快进入土壤中。     

基于不同可加性方法的黑龙江省红松人工林林分生物量模型

大尺度估算森林生物量一直是人们关注的焦点,而构建林分水平的生物量模型是一种估算森林乔木层生物量的方法。本研究基于聚合法1、聚合法2、平差法、分解法构建红松人工林林分生物量模型,并对比分析4种可加性方法的预测精度,为黑龙江省红松人工林的生物量预测提供科学依据。各模型均使用权函数来消除各模型的异方差,并以留一交叉验证法(LOOCV)作为各模型的检验方法。结果表明: 平差法的整体预测能力略优于聚合法1、聚合法2和分解法,预测精度排序为平差法>聚合法1>聚合法2>分解法;分别对比不同林分断面积的预测能力时,4种可加性方法的预测精度不一致。当红松人工林的林分断面积分布于0～10或50～60 m²·hm^-2区间时,建议采用分解法的参数估计值,而林分断面积分布于其他区间时,建议采用平差法的参数估计值。     

松栎林天然更新模拟与不确定性分析

森林天然更新的复杂性和不确定性是森林生态系统动态预测中的关键问题。本研究引入贝叶斯技术和全局敏感性分析,构建基于竞争、气候和地形3类因子的秦岭松栎林天然更新模型。备选模型形式以泊松(Poisson)模型、负二项(negative binomial,NB)模型、零膨胀泊松(zero-inflated Poisson,ZIP)模型和零膨胀负二项(zero-inflated negative binomial,ZINB)模型为基础。同时,根据模型参数传递的不确定性量化分析结果,阐释影响森林更新小概率事件的主导因子。结果表明: ZINB模型在油松和锐齿栎更新模拟中均优于其他模型。林分总断面积、光截留、坡位和生长季最低温是影响松栎林中油松天然更新的最关键因子;而林分总断面积、坡向与海拔的组合、年均温和最热季节降水量则是影响松栎林中锐齿栎天然更新的关键因子。油松更新模拟中,各类因子对模型输出的不确定性贡献率从小到大依次为: 竞争因子(25%)＜气候因子(29%)＜地形因子(46%);锐齿栎更新模拟中为: 气候因子(12%)＜竞争因子(24%)＜地形因子(64%)。油松天然更新数量对生长季最低温和最干季节降水量为正响应,对最干季节均温为负响应;锐齿栎天然更新数量对年均温、生长季最低温和最热季节降水量为正响应,对最干季节均温为负响应。基于贝叶斯技术的ZINB模型可以量化森林更新的影响因子,并解释参数传递的不确定性,是预测森林天然更新的有力工具。     

赤松枯梢病叶内生真菌多样性研究

在微生物层面研究枯梢病与植物针叶内生微生物的互作关系,分析内生真菌的多样性差异,为松枯梢病的防控提供基础数据。利用高通量测序技术测定赤松(Pinus densiflora)不同染病程度的针叶内生真菌的多样性。结果显示,随着病害的加重,P. densiflora针叶内生真菌丰富度呈现出上升的趋势,多样性指数表现为先下降后上升的趋势。无病斑针叶内生真菌中,子囊菌门(Ascomycota)与担子菌门(Basidiomycota)相对丰度最高,优势属为Lapidomyces和Selenophoma,病害导致优势菌相对丰度的降低。通过对不同染病情况的P. densiflora针叶内生真菌的测定,明确了枯梢病不同发病程度的P. densiflora针叶内生真菌的多样性及群落结构组成。     

竞争和气候对新疆阿尔泰山西伯利亚五针松树木径向生长的影响

阿尔泰山的北方森林是中亚以及全球的生态系统的重要组成部分, 其生长动态可以影响到全球范围的热辐射、碳平衡等。因此, 探究影响阿尔泰山树木径向生长的主要因素至关重要。该研究以新疆喀纳斯国家级自然保护区的西伯利亚五针松(Pinus sibirica)为研究对象, 建立西伯利亚五针松年表, 通过分析不同时间间隔累年生长量、竞争指数以及气候因子之间的关系, 运用线性混合效应模型、相关分析等方法, 探究竞争和气候对新疆阿尔泰山西伯利亚五针松树木径向生长的影响。结果表明: (1)线性混合效应模型结果显示竞争树胸径和与西伯利亚五针松过去30年的累年生长量之间的拟合效果最好; (2)标准年表与3月的平均气温、平均最高气温、平均最低气温之间有显著正相关关系; (3)累年生长量最高值出现在气温0-5 ℃, 竞争指数低于100的时候。累年生长量最低时, 气温达到-10 ℃, 竞争指数也超过了300。目标树的树木径向生长受到竞争树胸径和及生长季前期气温的影响, 两者共同作用。但相较于气候因子而言, 竞争对西伯利亚五针松的树木径向生长有更大的影响作用。     

樟子松人工林营建对土壤颗粒组成变化的影响

植被恢复是退化生态系统的主要恢复措施,也是人类改善区域生态环境较为重要和直接的活动。目前,针对不同植被恢复方式对干旱半干旱地区土壤理化性质及生物特征开展了大量研究。然而,关于科尔沁沙地樟子松人工林营建对土壤颗粒组成变化的影响却鲜有报道。因此,以辽宁省章古台地区不同生长阶段(包括幼龄林、中龄林、成熟林和过熟林)的20块樟子松人工林样地为研究对象(以临近的7块天然草地为对照),研究了沙地樟子松人工林营建对0—100 cm土层土壤颗粒组成变化的影响。结果表明:沙质草地营建樟子松人工林后,不同土层土壤细颗粒(0.05 mm)含量均呈增加趋势,并且在0—10 cm层增加趋势明显,随土层深度增加土壤细颗粒增加量逐渐降低(除幼龄林外),但樟子松林地土壤颗粒组成仍以砂粒为主,土壤粘粒和粉粒含量极低(仅占5%左右)。随着樟子松人工林林龄的增加,土壤细颗粒变化量在0—10 cm层逐渐升高,而在10—100 cm层并无显著变化趋势。土壤细颗粒含量的变化在10—100 cm层与土壤含水量呈显著正相关,在0—10、20—40 cm和80—100 cm层与土壤全钾极显著负相关,在20—60 cm层与土壤有机碳呈显著正相关,在10—40 cm和80—100 cm层分别与土壤全磷呈显著正相关和负相关。综上所述,樟子松人工林营建可有效提高土壤细颗粒含量且在土壤表层效果明显,但短期内并不会使土壤颗粒组成发生显著变化,樟子松林改善土壤颗粒组成的同时也会使其他土壤因子发生相应的变化。     

戴云山黄山松林土壤碳组分的海拔变化特征及影响因素

海拔梯度可能通过多种环境因子影响土壤有机质,土壤有机碳库是土壤有机质的重要组成部分,其微小变化将会产生极其重要的影响。因此海拔差异可能导致海拔间土壤碳库差异。土壤有机碳是反映土壤肥力的重要指标,可能受土壤理化性质和微生物等多种因素的影响。黄山松是高山地绿化和用材的优良树种,近年来戴云山自然保护区内高海拔地区的黄山松群落呈现衰退趋势。研究戴云山黄山松林土壤有机碳组分沿海拔梯度的变化情况,不仅可以为该区域碳库估算提供科学依据,而且有助于揭示影响黄山松生长变化的机理。因此,选取戴云山不同海拔[1300 m (L)、1450 m (M)和1600 m (H)]梯度的黄山松林,对其土壤基本理化性质、有机碳组分及微生物特征进行测定和分析。研究发现,海拔梯度下土壤养分含量呈先升高后降低的变化趋势,土壤碳组分含量与其变化一致,且微生物生物量碳和微生物生物量氮均在M海拔处最高,海拔梯度对碳水解酶没有显著影响。冗余分析表明,总氮是影响土壤有机碳变化的最主要因素,其次是碳氮比。因此在海拔跨度不大的情况下,土壤有机碳动态可能主要受氮素而非温度的影响。高海拔地区土壤惰性碳占比高,未来可能会持续加剧该地区黄山松的生长困境,使该区域碳库受到影响。     

云南松三种同域共存切梢小蠹梢转干期的空间分布格局

分布在我国西南地区的横坑切梢小蠹,云南切梢小蠹和短毛切梢小蠹同域危害寄主云南松,给林业生产带来巨大损失。为探讨同域切梢小蠹种群在共存下对其空间分布格局的影响,采用传统聚集指标法和地统计学方法研究了三者在梢转干期不同受害云南松纯林树冠中的空间分布型。结果表明重度受害样地中云南切梢小蠹种群密度显著高于横坑切梢小蠹,在轻度受害样地则相反;传统聚集指标法结果显示同域共存的3种切梢小蠹种群在不同受害程度云南松中均为聚集分布,横坑切梢小蠹和云南切梢小蠹聚集是由环境因素和昆虫本身的聚集习性引起;地统计学结果表明除重度受害样地中短毛切梢小蠹呈随机分布外,其余切梢小蠹在不同种群密度下均呈聚集分布;除重度受害样地横坑切梢小蠹外,其他小蠹的空间依赖范围为4.01—7.45 m。横坑切梢小蠹和云南切梢小蠹在不同受害林分中拟合的半变异函数模型在球形模型和高斯模型之间转换。同域共存关系不影响不同种群密度下的切梢小蠹种群空间分布类型,但影响其半变异函数模型和理论参数。     

Intraspecific trait variability shapes leaf trait response to altered fire regimes

Background and AimsUnderstanding impacts of altered disturbance regimes on community structure and function is a key goal for community ecology. Functional traits link species composition to ecosystem functioning. Changes in the distribution of functional traits at community scales in response to disturbance can be driven not only by shifts in species composition, but also by shifts in intraspecific trait values. Understanding the relative importance of these two processes has important implications for predicting community responses to altered disturbance regimes.MethodsWe experimentally manipulated fire return intervals in replicated blocks of a fire-adapted, longleaf pine (Pinus palustris) ecosystem in North Carolina, USA and measured specific leaf area (SLA), leaf dry matter content (LDMC) and compositional responses along a lowland to upland gradient over a 4 year period. Plots were burned between zero and four times. Using a trait-based approach, we simulate hypothetical scenarios which allow species presence, abundance or trait values to vary over time and compare these with observed traits to understand the relative contributions of each of these three processes to observed trait patterns at the study site. We addressed the following questions. (1) How do changes in the fire regime affect community composition, structure and community-level trait responses? (2) Are these effects consistent across a gradient of fire intensity? (3) What are the relative contributions of species turnover, changes in abundance and changes in intraspecific trait values to observed changes in community-weighted mean (CWM) traits in response to altered fire regime?Key ResultsWe found strong evidence that altered fire return interval impacted understorey plant communities. The number of fires a plot experienced significantly affected the magnitude of its compositional change and shifted the ecotone boundary separating shrub-dominated lowland areas from grass-dominated upland areas, with suppression sites (0 burns) experiencing an upland shift and annual burn sites a lowland shift. We found significant effects of burn regimes on the CWM of SLA, and that observed shifts in both SLA and LDMC were driven primarily by intraspecific changes in trait values.ConclusionsIn a fire-adapted ecosystem, increased fire frequency altered community composition and structure of the ecosystem through changes in the position of the shrub line. We also found that plant traits responded directionally to increased fire frequency, with SLA decreasing in response to fire frequency across the environmental gradient. For both SLA and LDMC, nearly all of the observed changes in CWM traits were driven by intraspecific variation.