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141.
In higher‐latitude trees, temperature and photoperiod control the beginning and end of the photosynthetically active season. Elevated temperature (ET) has advanced spring warming and delayed autumn cooling while photoperiod remains unchanged. We assessed the effects of warming on the length of the photosynthetically active season of three provenances of Pinus strobus L. seedlings from different latitudes, and evaluated the accuracy of the photochemical reflectance index (PRI) and the chlorophyll/carotenoid index (CCI) for tracking the predicted variation in spring and autumn phenology of photosynthesis among provenances. Seedlings from northern, local and southern P. strobus provenances were planted in a temperature‐free‐air‐controlled enhancement (T‐FACE) experiment and exposed to ET (+1.5/3°C; day/night). Over 18 months, we assessed photosynthetic phenology by measuring chlorophyll fluorescence, gas exchange, leaf spectral reflectance and pigment content. During autumn, all seedlings regardless of provenance followed the same sequence of phenological events with the initial downregulation of photosynthesis, followed by the modulation of non‐photochemical quenching and associated adjustments of zeaxanthin pool sizes. However, the timing of autumn downregulation differed between provenances, with delayed onset in the southern provenance (SP) and earlier onset in the northern relative to the local provenance, indicating that photoperiod at the provenance origin is a dominant factor controlling autumn phenology. Experimental warming further delayed the downregulation of photosynthesis during autumn in the SP. A provenance effect during spring was also observed but was generally not significant. The vegetation indices PRI and CCI were both effective at tracking the seasonal variations of energy partitioning in needles and the differences of carotenoid pigments indicative of the stress status of needles. These results demonstrate that PRI and CCI can be useful tools for monitoring conifer phenology and for the remote monitoring of the length of the photosynthetically active season of conifers in a changing climate.  相似文献   
142.
Longleaf pine savannas are highly threatened, fire‐maintained ecosystems unique to the southeastern United States. Fire suppression and conversion to agriculture have strongly affected this ecosystem, altering overstory canopies, understory plant communities, and animal populations. Tree thinning to reinstate open canopies can benefit understory plant diversity, but effects on animal communities are less well understood. Moreover, agricultural land‐use legacies can have long‐lasting impacts on plant communities, but their effects on animal communities either alone or through interactions with restoration are unclear. Resolving these impacts is important due to the conservation potential of fire‐suppressed and post‐agricultural longleaf savannas. We evaluated how historical agricultural land use and canopy thinning affect the diversity and abundance of wild bees in longleaf pine savannas. We employed a replicated, large‐scale factorial block experiment in South Carolina, where canopy thinning was applied to longleaf pine savannas that were either post‐agricultural or remnant (no agricultural history). Bees were sampled using elevated bee bowls. In the second growing season after restoration, thinned plots supported a greater bee abundance and bee community richness. Additionally, restored plots had altered wild bee community composition when compared to unthinned plots, indicating that reduction of canopy cover by the thinning treatment best predicted wild bee diversity and composition. Conversely, we found little evidence for differences between sites with or without historical agricultural land use. Some abundant Lasioglossum species were the most sensitive to habitat changes. Our results highlight how restoration practices that reduce canopy cover in fire‐suppressed savannas can have rapid benefits for wild bee communities.  相似文献   
143.
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.  相似文献   
144.
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。  相似文献   
145.
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。  相似文献   
146.
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。  相似文献   
147.
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。  相似文献   
148.
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.  相似文献   
149.
河北坝上地区地势复杂、气候条件较差,导致了水土流失和地质灾害的发生,使华北地区生态安全受到严重威胁。为了改善当地生态环境,樟子松、落叶松等耐贫瘠速生树种被大面积种植,然而不合理的植被密度会导致降雨的低效率利用。本研究以5种间伐强度(0、20%、40%、60%、80%)的樟子松林为对象,分析间伐强度对林下草本、枯落物、土壤各层以及整体持水能力的影响。结果表明: 草本层持水率变化幅度为47.7%~90.7%,且随着间伐强度增加持水能力整体呈减小趋势,间伐强度小于40%时减速较缓,之后迅速减小。随间伐强度的增大,枯落物未分解层、半分解层自然含水率和最大持水率均逐渐减小,而有效持水能力大小依次为60%>40%>20%>80%>0,且半分解层持水能力均优于未分解层。土壤持水能力随间伐强度的增强逐渐降低,间伐强度小于40%时对持水能力起促进作用。不同间伐强度下,林下总持水率是8.3%~14.3%,依次为20%>0>40%>60%>80%。 鉴于林下各层及整体变化,研究区内选择强度为20%的间伐措施能有效提高林下持水能力,实现更好的生态效益。  相似文献   
150.
马尾松是我国南方地区广泛分布的先锋造林树种。在全球变暖、气候干旱化和虫灾频发的趋势下,研究马尾松对环境干扰的生态弹性对森林管理有重要意义。本文对福建省仙游县百松村的马尾松古树进行树木年轮样品采集,建立区域首个马尾松树轮宽度标准年表(1865—2014年)。结果表明: 当年7—9月低相对湿度和5—9月极端高温是树木生长的主要限制因素。根据树轮极端窄年确定1869、1889、1986、1991和1993是极端事件年。时序叠加分析发现,极端事件发生前两年的持续低值加剧了极端事件的影响。干旱年份更容易引发虫灾。1889年是受虫灾影响最严重的年份,1986和1991年受到虫灾和干旱气候的双重影响,其余极端年主要受干旱气候的影响。树木对虫灾的抵抗力弱于对干旱事件的抵抗力;除1991年外,树木对虫灾的相对弹性力高于对干旱事件的相对弹性力。1889年的相对弹性力最高,1991年受到连续极端事件的影响,相对弹性力最低。2000年以来研究区干旱化趋势加强,马尾松古树遭受干旱和虫灾的干扰加强,部分树木死亡。  相似文献   
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