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151.
Understory fires represent an accelerating threat to Amazonian tropical forests and can, during drought, affect larger areas than deforestation itself. These fires kill trees at rates varying from < 10 to c. 90% depending on fire intensity, forest disturbance history and tree functional traits. Here, we examine variation in bark thickness across the Amazon. Bark can protect trees from fires, but it is often assumed to be consistently thin across tropical forests. Here, we show that investment in bark varies, with thicker bark in dry forests and thinner in wetter forests. We also show that thinner bark translated into higher fire‐driven tree mortality in wetter forests, with between 0.67 and 5.86 gigatonnes CO2 lost in Amazon understory fires between 2001 and 2010. Trait‐enabled global vegetation models that explicitly include variation in bark thickness are likely to improve the predictions of fire effects on carbon cycling in tropical forests.  相似文献   
152.
Multilocus genomic data sets can be used to infer a rich set of information about the evolutionary history of a lineage, including gene trees, species trees, and phylogenetic networks. However, user‐friendly tools to run such integrated analyses are lacking, and workflows often require tedious reformatting and handling time to shepherd data through a series of individual programs. Here, we present a tool written in Python—TREEasy—that performs automated sequence alignment (with MAFFT), gene tree inference (with IQ‐Tree), species inference from concatenated data (with IQ‐Tree and RaxML‐NG), species tree inference from gene trees (with ASTRAL, MP‐EST, and STELLS2), and phylogenetic network inference (with SNaQ and PhyloNet). The tool only requires FASTA files and nine parameters as inputs. The tool can be run as command line or through a Graphical User Interface (GUI). As examples, we reproduced a recent analysis of staghorn coral evolution, and performed a new analysis on the evolution of the “WGD clade” of yeast. The latter revealed novel patterns that were not identified by previous analyses. TREEasy represents a reliable and simple tool to accelerate research in systematic biology ( https://github.com/MaoYafei/TREEasy ).  相似文献   
153.
Tree growth is an indicator of tree vitality and its temporal variability is linked to species resilience to environmental changes. Second-order statistics that quantify the cross-scale temporal variability of ecophysiological time series (statistical memory) could provide novel insights into species resilience. Species with high statistical memory in their tree growth may be more affected by disturbances, resulting in lower overall resilience and higher vulnerability to environmental changes. Here, we assessed the statistical memory, as quantified with the decay in standard deviation with increasing time scale, in tree water use and growth of co-occurring European larch Larix decidua and Norway spruce Picea abies along an elevational gradient in the Swiss Alps using measurements of stem radius changes, sap flow and tree-ring widths. Local-scale interspecific differences between the two conifers were further explored at the European scale using data from the International Tree-Ring Data Bank. Across the analysed elevational gradient, tree water use showed steeper variability decay with increasing time scale than tree growth, with no significant interspecific differences, highlighting stronger statistical memory in tree growth processes. Moreover, Norway spruce displayed slower decay in growth variability with increasing time scale (higher statistical memory) than European larch; a pattern that was also consistent at the European scale. The higher statistical memory in tree growth of Norway spruce in comparison to European larch is indicative of lower resilience of the former in comparison to the latter, and could potentially explain the occurrence of European larch at higher elevations at the Alpine treeline. Single metrics of resilience cannot often summarize the multifaceted aspects of ecosystem functioning, thus, second-order statistics that quantify the strength of statistical memory in ecophysiological time series could complement existing resilience indicators, facilitating the assessment of how environmental changes impact forest growth trajectories and ecosystem services.  相似文献   
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155.
Disease resistance (R) gene, RPP13, plays an important role in the resistance of plants to pathogen infections; its function in resistance of wheat to powdery mildew remains unknown. In this study, a RNA-Seq technique was used to monitor expression of genes in susceptible wheat ‘Jing411’ and resistant near-isogenic line ‘BJ-1’ in response to powdery mildew infection. Overall, 413 differential expression genes were observed and identified as involved in disease resistance. RPP13 homologous gene on wheat chromosome 7D was preliminarily identified using the wheat 660K SNP chip. RPP13 was highly expressed in ‘BJ-1’ and encodes 1,027 amino acids, including CC, NB and LRR domain, termed TaRPP13-3. After inoculation with powdery mildew, expression of TaRPP13-3 in resistant wheat changed with time, but average expression was higher when compared to susceptible variety, thus indicating that TaRPP13-3 is involved in resistance to powdery mildew. Virus-induced gene silencing (VIGS) was used to inhibit expression of TaRPP13-3 in resistant parent ‘Brock’. Results indicated that silencing of TaRPP13-3 led to decreased disease resistance in ‘Brock’. Overall results of this study indicate that TaRPP13-3 gene is involved in the defence response of wheat to powdery mildew and plays a positive role in wheat powdery mildew interactions.  相似文献   
156.
157.
大渡河中游干暖河谷区滑坡和泥石流灾害频发, 对该区域坡面植物群落的研究有助于揭示植被演替的方向, 为坡面植被生态恢复提供基本依据。本研究沿大渡河中游河谷区每隔约5 km设置典型样地, 调查了植被的物种组成和分布以及样地的地形、土壤等10个生境因子, 探讨河谷区植被的连续性变化, 并通过多元回归树(multivariate regression trees, MRT)、多样性指数和典范对应分析(canonical correspondence analysis, CCA)等方法对植物群落进行分类、比较和排序。结果表明: 大渡河中游干暖河谷植被以土壤碳含量、pH值和C : N等3个因子为节点, 可划分为多花胡枝子(Lespedeza floribunda)-荩草(Arthraxon hispidus)-香薷(Elsholtzia ciliate)(群落A)、地果(Ficus tikoua)-车桑子(Dodonaea viscosa)-川滇薹草(Carex schneideri)(群落B)、云南松(Pinus yunnanensis)-栓皮栎(Quercus variabilis)(群落C)和荩草-扭黄茅(Heteropogon contortus)(群落D)等4种群落。该区域以灌木和草本为主要植被类型(群落A、B、C), 间或有裸地分布, 易成为泥石流灾害产生的物源区; 以多花胡枝子为主的灌草群落A的物种丰富度、优势度与多样性表现一致, 均高于以乔木和草本为主的群落C和D, 但物种多样性优势并不显著, 灌草群落分布广而结构单一, 外来物种占比为8.33%, 是生态系统脆弱和不稳定的表现。多元回归树和典范对应分析结果表明, pH值、C : N、坡向和土壤容重等4个因子对植物群落组成和分布影响最大, 且土壤因子的影响大于地形因子。  相似文献   
158.
研究土壤微生物生物量及其生态化学计量特征对造林树种转换的响应,对深入了解森林生态系统土壤养分循环和有效性具有重要意义。本研究以1993年春在二代杉木采伐迹地上营造的26年生米老排和杉木人工林为对象,采用氯仿熏蒸法测定了0~40 cm土层土壤微生物生物量碳(MBC)、氮(MBN)、磷(MBP)的变化。结果表明: 与杉木人工林相比,米老排人工林0~10 cm土层MBC和0~20 cm土层MBN和MBP均显著提高, 0~20 cm土层MBC/MBP和10~20 cm土层MBN/MBP显著降低。两种人工林所有土层MBC/MBN均无差异。相关分析显示,土壤含水率、总有机碳、总氮、全磷、有效磷与MBC、MBN和MBP呈显著正相关,而与MBC/MBP和MBN/MBP呈显著负相关。逐步线性回归分析表明,MBN和MBP主要受土壤总氮和有效磷的影响,而MBC/MBP和MBN/MBP主要受有机碳和有效磷的驱动。研究表明,造林树种从杉木转换成米老排能够增加表层土壤微生物生物量,加速氮磷养分周转,增加土壤氮磷养分供应能力。米老排人工林土壤MBP的增加可能在一定程度上缓解了树木生长的磷限制。  相似文献   
159.
特定化合物同位素分析(CSIA)可以实现对复杂基质中特定化合物稳定碳同位素组成(δ13C)的精确测定。应用此方法测定树木非结构性碳水化合物(NSC)中特定成分(如糖类、有机酸和糖醇)的δ13C,不仅能够追踪新同化的光合产物在树木中的运移及与外界的碳交换,还能够更敏感地指示树木生理状况对环境变化的响应。本文首先系统介绍了CSIA从样品采集、处理到δ13C测定的方法,然后综述了树木NSC中各成分之间及各成分在不同器官之间的δ13C差异,阐述了树木NSC的δ13C时间动态变化特征及内在机制,最后分析了NSC作为主要呼吸底物,其δ13C与树木呼吸释放CO2的δ13C(δ13CR)之间的联系,并针对CSIA分析技术在后光合分馏、树木逆境生理和年轮δ13C形成机制等研究的应用前景提出了展望。  相似文献   
160.
为发掘甘薯近缘野生种三裂叶薯(Ipomoea triloba)的NBS-LRR类抗病基因,从基因数据库中对三裂叶薯基因组序列进行了筛选、鉴定和分析。结果表明,从三裂叶薯的98 025个基因中,筛选到282个编码NBS-LRR类蛋白的基因,其中N型80个,NL型83个,CN型28个,CNL型57个,TN型10个,TNL型23个,RN型1个。三裂叶薯的16条染色体上均含有NBS-LRR家族基因,数量最多的染色体含有65个,最少的只有1个。三裂叶薯基因组共有55个基因簇,包含了63.5%的NBS-LRR家族基因。在NBS-LRR抗病基因家族中,CNL和TNL亚家族分别对应到7和11个保守结构域。这为三裂叶薯抗性资源的利用提供了科学参考。  相似文献   
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