Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire

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.     

Incorporating intraspecific variation into species distribution models improves distribution predictions,but cannot predict species traits for a wide-spread plant species

The most common approach to predicting how species ranges and ecological functions will shift with climate change is to construct correlative species distribution models (SDMs). These models use a species’ climatic distribution to determine currently suitable areas for the species and project its potential distribution under future climate scenarios. A core, rarely tested, assumption of SDMs is that all populations will respond equivalently to climate. Few studies have examined this assumption, and those that have rarely dissect the reasons for intraspecific differences. Focusing on the arctic-alpine cushion plant Silene acaulis, we compared predictive accuracy from SDMs constructed using the species’ full global distribution with composite predictions from separate SDMs constructed using subpopulations defined either by genetic or habitat differences. This is one of the first studies to compare multiple ways of constructing intraspecific-level SDMs with a species-level SDM. We also examine the contested relationship between relative probability of occurrence and species performance or ecological function, testing if SDM output can predict individual performance (plant size) and biotic interactions (facilitation). We found that both genetic- and habitat-informed SDMs are considerably more accurate than a species-level SDM, and that the genetic model substantially differs from and outperforms the habitat model. While SDMs have been used to infer population performance and possibly even biotic interactions, in our system these relationships were extremely weak. Our results indicate that individual subpopulations may respond differently to climate, although we discuss and explore several alternative explanations for the superior performance of intraspecific-level SDMs. We emphasize the need to carefully examine how to best define intraspecific-level SDMs as well as how potential genetic, environmental, or sampling variation within species ranges can critically affect SDM predictions. We urge caution in inferring population performance or biotic interactions from SDM predictions, as these often-assumed relationships are not supported in our study.     

A standardized assessment of forest mammal communities reveals consistent functional composition and vulnerability across the tropics

The understanding of global diversity patterns has benefitted from a focus on functional traits and how they relate to variation in environmental conditions among assemblages. Distant communities in similar environments often share characteristics, and for tropical forest mammals, this functional trait convergence has been demonstrated at coarse scales (110–200 km resolution), but less is known about how these patterns manifest at fine scales, where local processes (e.g. habitat features and anthropogenic activities) and biotic interactions occur. Here, we used standardized camera trapping data and a novel analytical method that accounts for imperfect detection to assess how the functional composition of terrestrial mammal communities for two traits – trophic guild and body mass – varies across 16 protected areas in tropical forests and three continents, in relation to the extent of protected habitat and anthropogenic pressures. We found that despite their taxonomic differences, communities generally have a consistent trophic guild composition, and respond similarly to these factors. Insectivores were found to be sensitive to the size of protected habitat and surrounding human population density. Body mass distribution varied little among communities both in terms of central tendency and spread, and interestingly, community average body mass declined with proximity to human settlements. Results indicate predicted trait convergence among assemblages at the coarse scale reflects consistent functional composition among communities at the local scale, suggesting that broadly similar habitats and selective pressures shaped communities with similar trophic strategies and responses to drivers of change. These similarities provide a foundation for assessing assemblages under anthropogenic threats and sharing conservation measures.     

澜沧江流域水生昆虫群落分类多样性和功能多样性海拔格局的空间尺度依赖性

群落分类多样性和功能多样性的海拔格局研究, 是了解生物多样性空间分布现状、揭示多样性维持和变化机制的重要途径。当前对水生昆虫分类多样性和功能多样性沿海拔梯度分布格局, 及其尺度依赖性依旧缺乏深入研究。本文基于2013-2018年在云南澜沧江流域500-3,900 m海拔梯度共149个溪流点位的水生昆虫群落调查数据, 利用线性或二次回归模型探索并比较了局部尺度(点位尺度)和不同区域尺度(100 m、150 m、200 m、250 m海拔段)的分类多样性指数(物种丰富度指数、Simpson多样性指数和物种均匀度指数)和功能多样性指数(树状图功能多样性指数(dbFD)、Rao二次熵指数(RaoQ)和功能均匀度指数(FEve))的海拔格局。结果表明, 在局部尺度, 物种丰富度指数和dbFD指数沿海拔梯度均无显著分布特征, Simpson多样性指数、RaoQ指数、物种均匀度指数和FEve指数沿海拔梯度呈现U型或者单调递减趋势。在区域尺度, 随着区域海拔带宽度的增加, 物种丰富度指数沿海拔呈不显著的单调递减格局, 但dbFD指数沿海拔分布由U型转变为单调递减趋势; Simpson多样性指数和RaoQ指数沿海拔梯度由显著U型趋势转变为无显著分布特征; 物种均匀度指数沿海拔梯度无显著分布特征, 但FEve指数呈显著增加的海拔格局。综上, 群落分类多样性指数和功能多样性指数沿海拔梯度分布存在局部和区域尺度的空间差异, 但区域尺度下二者海拔格局随海拔带宽度的增加存在一定程度的一致性。     

长期氮添加对典型草原植物多样性与初级生产力的影响及途径

氮(N)沉降对陆地生态系统的结构和功能已产生了重要的影响, N也是中国北方草原植物生长和初级生产力的主要限制性元素。物种多样性和功能多样性是揭示生物多样性对生态系统功能维持机制的关键指标, 然而, 关于长期N添加下草原物种多样性与功能多样性的关系, 及其对初级生产力的影响途径及机制, 尚不十分清楚。为此, 该研究依托在内蒙古典型草原建立的长期N添加实验平台, 实验处理包括1个完全对照(不添加任何肥料)和6个N添加水平(0、1.75、5.25、10.50、17.50和28.00 g·m^-2·a^-1), 研究了长期N添加对典型草原物种多样性、功能多样性和初级生产力的影响大小及途径。结果表明: 1) N添加显著降低了典型草原的物种丰富度和Shannon-Wiener指数, 但对功能多样性(包括功能性状多样性指数和群落加权性状值)无显著的影响。2)结构方程模型分析表明, 功能多样性主要受物种丰富度的影响, 但是物种多样性减少并没有导致功能多样性降低, 其原因主要是功能群组成发生了改变, 即群落内多年生根茎禾草所占比例显著增加, 以致群落加权性状值变化不大。3) N通过影响物种丰富度和功能群组成, 间接影响群落加权性状值, 进而影响群落净初级生产力。其中, 群落加权性状值是最重要的影响因子, 可解释48%的初级生产力变化, 表明初级生产力主要是由群落内优势物种的生物量及功能性状所决定, 因此该研究的结果很好地支持了质量比假说。     

微生境对黄梅秤锤树野生种群叶片功能性状的影响

植物功能性状可以反映植物应对环境变化的适应策略。本文以黄梅秤锤树(Sinojackia huangmeiensis)当前唯一野生种群为对象, 比较了3种微生境(湖边、种群中心、耕地边)中该物种的叶片功能性状均值、种内变异和叶片生态化学计量特征的差异, 分析了黄梅秤锤树对湖岸带微生境变化的响应及其适应策略。结果表明: (1) 3种微生境中土壤C、N、P含量没有显著性差异(P > 0.05), 但土壤C∶N和C∶P具有显著性差异(P < 0.05), 土壤类型和养分条件有所不同。(2)黄梅秤锤树叶片功能性状的比较用单因素方差分析和贝叶斯方差分析得出的结果一致, 均为叶长、叶面积和比叶面积在中心区域显著高于湖边(P < 0.05), 而耕地边与湖边和中心区域均没有显著差异(P > 0.05); 叶N含量在湖边显著高于中心区域和耕地边(P < 0.05), 而中心区域和耕地边间没有显著差异(P > 0.05); 叶宽、叶长/叶宽、叶干物质含量、叶C和叶P含量在3种微生境间都没有显著性差异(P > 0.05)。(3)黄梅秤锤树叶片的N∶P在湖边显著高于中心区域和耕地边(P < 0.05), C∶N在湖边显著小于中心区域和耕地边(P < 0.05), N∶P和C∶N在中心区域和耕地边没有显著性差异(P > 0.05), C∶P在3种微生境间都没有显著性差异(P > 0.05)。(4)黄梅秤锤树叶片功能性状的总体变异程度在0.02-0.28之间, 其中叶片C和N含量在湖边和中心区域的种内变异程度显著较低, 表明3种生境中湖边和中心区域黄梅秤锤树种群的稳定性相对较差。(5)湖边黄梅秤锤树主要通过增加叶N含量促进生长; 中心区域黄梅秤锤树主要通过增加叶面积和比叶面积以及提高叶N的利用效率来提高光捕获能力促进生长; 耕地边黄梅秤锤树的叶N含量和叶面积、比叶面积都处于中等水平, 通过性状之间的共同作用使植株生长达到最佳水平。以上结果表明, 由于微地形、水位波动和土壤环境条件的差异, 黄梅秤锤树对3种生境中的适应策略有所不同, 并且不是通过单一性状调整来适应环境的变化, 而是通过多种性状之间的权衡达到更好的适应效果。     

青藏高原多年冻土区不同水分条件的高寒草甸根系功能性状对增温的响应

在青藏高原多年冻土广泛分布的风火山地区,选择小嵩草（Kobresia pygmea）草甸和藏嵩草（Kobresia tibetica）沼泽化草甸为研究对象,采用开顶增温室（Open top chambers, OTCs）模拟气候变暖,探讨模拟增温对土壤水分差异的两种草甸地下生物量及根系功能性状的影响。结果显示,（1）增温显著增加小嵩草草甸0—20 cm根系生物量,主要是由于表层（0—10 cm）根系生物量显著增加,而对藏嵩草沼泽化草甸根系生物量无影响。（2）增温显著增加了小嵩草草甸根组织密度,同时提高了藏嵩草沼泽化草甸10—20 cm的比根长和比根面积（3）增温降低了小嵩草草甸的根系碳含量及10—20 cm根系氮含量,增加了藏嵩草沼泽化草甸的碳含量及10—20 cm根系氮含量,显著提高了小嵩草草甸和藏嵩草沼泽化草甸深层（10—20 cm）根系碳氮比。这些结果预示着增温使得土壤水分较低的小嵩草草甸朝着资源保守的慢速生长型发展,以适应暖干化的环境;土壤水分较高的藏嵩草沼泽化草甸朝着资源获取的快速生长型发展,加速利用土壤中的养分满足植物生长需要。可见,土壤水分可以调节高寒草甸对气候变暖的演变趋势,强调了水分的重要性。     

播种季节和种植方式对多年生苦荞主要农艺性状的影响

该研究选取六个多年生苦荞新品系,对春季、秋季直播与秋季再生其主要农艺性状进行调查。结果表明:(1)不同播种季节对多年生苦荞新品系主花序的花粉可育率、总结实率、有效结实率、植株株高、主茎粗、主茎分枝数、主茎节数、籽粒百粒重、单株粒数、单株产量的影响均达到显著或极显著水平;秋播主花序花粉可育率、总结实率、有效结实率、植株主茎分枝数、籽粒百粒重、单株粒数、单株产量均极显著高于春播;植株株高、主茎粗、主茎节数均极显著低于春播;主花序花朵大小、籽粒种子长宽比无显著差异。(2)不同种植方式对主花序花粉可育率、有效结实率、植株主茎节数及籽粒百粒重的影响达到显著或极显著水平;秋季再生主花序花粉可育率、籽粒单株粒数显著高于秋季直播;主花序有效结实率、植株主茎粗、主茎节数、籽粒百粒重显著低于秋季直播;主花序花朵大小、总结实率、植株株高、主茎分枝数、籽粒种子长宽比、单株产量无显著差异;相关分析表明,各生长季节下主花序有效结实率及单株粒数与单株产量的相关系数均最高。(3)所有参试品系中,1612-241秋季直播的单株产量显著高于其他品系; 1612-16、1612-33秋季再生单株产量较正季优势显著。该研究结果有助于筛选出适宜一季播种两季收获的优良品系,为今后多年生苦荞的选择育种提供线索基础。     

化龙山七筋姑种内二倍体与四倍体表型分化分析

七筋姑(Clintonia udensis Trautv. et Mey.)属百合科(Liliaceae)七筋姑属(Clintonia Raf.),多年生草本,具有二倍体(2n=14)和四倍体(4n=28)两种倍性。在陕西化龙山地区,二倍体主要分布在南坡海拔2 450 m处,四倍体主要生长在北坡海拔1 900 m左右,成为研究种内多倍体分化的理想材料。该研究从七筋姑营养和繁殖系统出发,研究其不同倍性的表型分化,揭示不同倍性的生态适应特征,为阐明七筋姑种内多倍体的演化提供线索。研究表明：(1)在根、茎、叶、花、果实、种子的11个性状中,二倍体的果实体积性状最为稳定(CV=0.02),叶长性状遗传多样性最高(CV=0.85);四倍体中果实体积性状也最为稳定(CV=0.06),而花数量性状多样性最高(CV=0.42)。(2)四倍体的果实体积平均值明显高于二倍体,但种子数量平均值显著少于二倍体,果实体积和种子体积性状在不同倍性间的分化占比最高(V_st=0.69)。(3)四倍体营养器官表型性状的遗传变异丰富度低于二倍体,其平均变异系数(CV=0.16)小于二倍体的变异系数(CV=0.44);在繁殖系统表型性状中,四倍体的遗传变异丰富度高于二倍体,平均变异系数(CV=0.30)大于二倍体(CV=0.26)。(4)显著性分析表明,二倍体与四倍体表型性状差异显著(P<0.05),而繁殖系统性状在不同倍性间无显著差异(P>0.05);PCA分析同样显示二倍体与四倍体间存在明显差异。四倍体显著的表型差异是对低海拔环境长期适应的结果。