Underestimated ecosystem carbon turnover time and sequestration under the steady state assumption: A perspective from long‐term data assimilation

It is critical to accurately estimate carbon (C) turnover time as it dominates the uncertainty in ecosystem C sinks and their response to future climate change. In the absence of direct observations of ecosystem C losses, C turnover times are commonly estimated under the steady state assumption (SSA), which has been applied across a large range of temporal and spatial scales including many at which the validity of the assumption is likely to be violated. However, the errors associated with improperly applying SSA to estimate C turnover time and its covariance with climate as well as ecosystem C sequestrations have yet to be fully quantified. Here, we developed a novel model‐data fusion framework and systematically analyzed the SSA‐induced biases using time‐series data collected from 10 permanent forest plots in the eastern China monsoon region. The results showed that (a) the SSA significantly underestimated mean turnover times (MTTs) by 29%, thereby leading to a 4.83‐fold underestimation of the net ecosystem productivity (NEP) in these forest ecosystems, a major C sink globally; (b) the SSA‐induced bias in MTT and NEP correlates negatively with forest age, which provides a significant caveat for applying the SSA to young‐aged ecosystems; and (c) the sensitivity of MTT to temperature and precipitation was 22% and 42% lower, respectively, under the SSA. Thus, under the expected climate change, spatiotemporal changes in MTT are likely to be underestimated, thereby resulting in large errors in the variability of predicted global NEP. With the development of observation technology and the accumulation of spatiotemporal data, we suggest estimating MTTs at the disequilibrium state via long‐term data assimilation, thereby effectively reducing the uncertainty in ecosystem C sequestration estimations and providing a better understanding of regional or global C cycle dynamics and C‐climate feedback.     

Disentangling the relative effects of ambient energy,water availability,and energy–water balance on pteridophyte species richness at a landscape scale in China

Understanding what factors generate geographic variation in species richness is a fundamental goal of ecology and biogeography. Water and energy are considered as the major environmental factors influencing large-scale patterns of species richness, but their roles vary among taxa and regions. Pteridophytes are an ideal group of organisms for examining the relationship between species richness and their environment because the distribution of pteridophytes is usually in equilibrium with contemporary climate to a greater degree than those of seed plants and most terrestrial vertebrates partly due to the lightness of their spores, which is highly capable of long-distance dispersal by wind, and partly due to their single-spore reproduction strategy. Using correlation and regression analyses and structural equation modeling technique, we examine the relationship of pteridophyte species richness in 151 localities from across China with environmental factors representing energy, water, and energy–water balance. We found that pteridophyte species richness is correlated to water availability more strongly than to ambient energy. Furthermore, we found that of all environmental variables considered, energy–water balance has played the most important role in regulating pteridophyte species richness gradients in China.     

杉木与固氮和非固氮树种混交对林地土壤质量和土壤水化学的影响

第 1代人工杉木林皆伐后 ,3种不同的经营模式 ,即连载杉木纯林、杉木与固 N阔叶树混交林和杉木与非固 N阔叶树混交林 ,对林地土壤质量和土壤水化学的影响进行了比较。结果表明 ,在杉树与阔叶树混交经营模式下 ,土壤养分含量增加 ,物理性状改善 ,土壤生物活性提高 ,微生物商 (Cmic:Corg)上升 ,代谢商 (q CO2 )稍有下降 ,但杉木与固 N树种的混交对土壤质量的改善效果比杉木与非固 N树种混交好 ;相反 ,杉木连载只能导致林地土壤质量的逐渐恶化 ;土壤溶液中 ,主要来自于大气中的一些离子浓度 ,如 SO2 - 4,Cl- ,Na 和 Mg2 ,在杉木纯林中显著高于混交林 ,而主要受系统内影响较大的一些离子 ,如 K 和NH 4,NO- 3,在经营模式间变异较小 ;H 和 Al3 浓度也是杉木纯林比混交林高。另外 ,研究结果还表明 ,总有机 C、CEC和微生物 C与其它土壤理化性质与生物学性质之间存在着较好的相关性 ,所以可以将总有机 C、CEC和微生物 C作为红黄壤地区亚热带人工林土壤质量的指示指标     

不同人工林生态系统林地土壤质量评价

利用定位研究方法,综合比较了第2代连栽杉木纯林、杉木与阔叶树混交林以及阔叶纯林3种人工林生态系统对林地土壤质量的影响．结果表明,与连栽杉木纯林相比,在杉阔混交和阔叶树轮栽两种经营模式下,土壤养分含量增加,物理性状改善,土壤生物活性提高．利用土壤质量评价体系在对土壤功能评价的基础上,直观评价了3种经营模式的土壤质量状况．在研究区内,杉木与阔叶树混交以及阔叶树轮栽的水分有效性、养分有效性和根系适宜性以及最终的土壤质量指数均处于中等水平,而连栽杉木林的水分有效性、养分有效性和根系适宜性较差,土壤质量指数处于较低水平．总有机C、阳离子交换量和微生物生物量C与其它土壤理化性质和生物学性质之间明显相关,可将其作为研究区土壤质量的指示指标;土壤微生物生物量C、N、P与土壤总有机C、土壤全N、土壤全P含量之间也存在较好的相关性。     

根系分泌物生态学研究

在植物生长过程中 ,由根系的不同部位分泌或溢泌一些无机离子及有机化合物 ,这些物质统称为根系分泌物。植物在其生长过程中不断地分泌无机离子及有机化合物 ,这是植物长期适应外界环境而形成的一种适应机制。早在 2 0世纪 5 0年代就有人对植物根系分泌物进行了研究 ,Ｒｏｖｉｒａ等[4 3] 和Ｖａｎｃｕｒａ等[4 7] 对根土界面根系分泌物进行了系统的研究 ,切尔诺布里维卡[2 6 ] 研究了植物根系分泌物的生物学作用 ,揭示了其在间作中的作用 ,直到 70年代对根系分泌物的研究才出现了蓬勃发展的趋势。近年来的研究表明 ,根系分泌物是保持根际微…     

连栽土壤对杉木幼苗生长影响的研究

连栽土壤对杉木幼苗生长影响的研究马越强廖利平杨跃军汪思龙高洪陈楚莹（中国科学院沈阳应用生态研究所,１１００１５）刘更有（湖南省会同县林科所,４１８３０７）ＥｆｅｃｔｓｏｆＲｅｐｌａｎｔＳｏｉｌｏｎｔｈｅＧｒｏｗｔｈｏｆＣ．ｌａｎｃｅｏｌａｔａＳｅｄｌ...     

亚热带常绿阔叶林和杉木人工林茎流与穿透雨的养分特征

亚热带常绿阔叶林和杉木人工林树干茎流和穿透雨养分含量均表现季节动态变化。养分含量中,K^ 、Ca^2 、NO3%-浓度高,Na^ 、Mg^2 居中,HPO4^2-含量低,相对于林外雨,养分均出现富集化,但树干茎流养分富集化高于穿透雨。树干茎流出现强烈的酸化,而穿透雨酸化现象不明显。树种之间的茎流养分特征表现不一样,樟树和枫香总的养分浓度较高,其次为刨花楠,最后为青冈和红栲。     

DG指数在定量多样性时的缺陷及其内涵解析

生物多样性通常使用物种丰富度、Simpson指数、Shannon-Wiener多样性指数等来进行度量, 但是在土壤动物群落研究中, 由于使用了粗水平的分类方法, 因此即使生境变化很大, 这些多样性指数在评估群落多样性变化时仍然是不适当的。为了克服这种限制, 廖崇惠(1990, 2009)提出用DG指数来代替这些标准的多样性指数, 并在土壤动物生态学领域得到了广泛应用。然而笔者分析发现DG指数与Pielou均匀度指数呈显著的负相关关系(r = –0.534, P = 0.000), 即, 高的均匀度反而有低的多样性。另外, DG指数与类群数(r = 0.648, P = 0.000)和类群密度(r = 0.487, P = 0.000)呈明显的正相关, 类群数的下降可以通过部分类群密度的上升而获得补偿, 群落的类群丢失后却可以获得一个不变的甚至更高的多样性值。因此, 笔者不支持DG指数用于测度生物多样性, 提议使用各类群实际群势与潜在群势比值的平均值来估计群落潜在多度的实现程度。如果继续使用DG指数作为实际生境条件的一个指标, 那么与以往不同, DG指数测度的是该生境群落多度增长的一种潜力。