Net primary production in three bioenergy crop systems following land conversion

Aims Identifying the amount of production and the partitioning to above- and belowground biomass is generally the first step toward selecting bioenergy systems. There are very few existing studies on the dynamics of production following land conversion. The objectives of this study were to (i) determine the differences in aboveground net primary production (ANPP), belowground net primary production (BNPP), shoot-to-root ratio (S:R) and leaf area index in three bioenergy crop systems and (ii) evaluate the production of these three systems in two different land use conversions.Methods This investigation included biometric analysis of NPP on three agricultural sites converted from conservation reserve program (CRP) management to bioenergy crop production (corn, switchgrass and prairie mix) and three sites converted from traditional agriculture production to bioenergy crop production.Important findings The site converted from conventional agriculture produced smaller ANPP in corn (19.03±1.90 standard error [SE] Mg ha^-1 year^-1) than the site converted from CRP to corn (24.54±1.43 SE Mg ha^-1 year^-1). The two land conversions were similar in terms of ANPP for switchgrass (4.88±0.43 SE for CRP and 2.04±0.23 SE Mg ha^-1 year^-1 for agriculture) and ANPP for prairie mix (4.70±0.50 SE for CRP and 3.38±0.33 SE Mg ha^-1 year^-1 for agriculture). The BNPP at the end of the growing season in all the bioenergy crop systems was not significantly different (P = 0.75, N = 8).     

Improving the light use efficiency model for simulating terrestrial vegetation gross primary production by the inclusion of diffuse radiation across ecosystems in China

Qualification of gross primary production (GPP) of terrestrial ecosystem over large areas is important in understanding the response of terrestrial ecosystem to global climate change. While light use efficiency (LUE) models were widely used in regional carbon budget estimates, few studies consider the effect of diffuse radiation on LUE caused by clouds using a big leaf model. Here we developed a cloudiness index light use efficiency (CI-LUE) model based on the MOD17 model algorithm to estimate the terrestrial ecosystem GPP, in which the base light use efficiency encompassed the cloudiness index, maximum LUE and clear sky LUE. GPP measured at seven sites from 2003 to 2007 in China were used to calibrate and validate the CI-LUE model. The results showed that at forest sites and cropland site the CI-LUE model outperformed the Vegetation Photosynthesis Model (VPM), Terrestrial Ecosystem Carbon flux model (TEC), MOD17 model algorithm driven by in situ meteorological measurements and MODIS GPP products, especially the R² of simulated GPP against flux measurements at Dinghushan forest site increased from 0.17 (MODIS GPP products) to 0.61 (CI-LUE). Instead, VPM model had the best agreement with GPP measurements followed by CI-LUE model and lastly TEC model at two grassland sites. Meanwhile, GPP calculated by CI-LUE model has less underestimation under cloudy skies in comparison with MOD17 model. This study demonstrated the potential of the CI-LUE model in improving GPP simulations resulting from the inclusion of diffuse radiation in regulating the base light use efficiency and maximum light use efficiency.     

基于全球净初级生产力的能源足迹计算方法

净初级生产力是当前生态足迹改进研究的重要突破口。针对传统能源足迹存在着忽略多数土地的碳吸收贡献、碳吸收能力界定不清等不足,提出了基于全球平均净初级生产力的能源足迹计算方法。结果表明:单位质量能源的生态足迹空间构成中,前3位依次为海洋、林地和草地,分别占28.32%、27.25%、21.77%。单位空间占用面积的能源热值由高至低依次为电力、气态、液态和固态能源,分别达2.11×106—9.76×107、108—116、88—99、68—72 GJ/hm2。对各类能源生态影响的判断均较传统方法乐观,这是综合考虑全球各类土地和水体碳吸收贡献的结果。基于全球净初级生产力的能源足迹反映了能源消费的空间占用平均水平,有助于提高评价结果的真实性与准确性。     

The effect of a dry spring on seasonal carbon allocation and vegetation dynamics in a poplar bioenergy plantation

In this study the seasonal variation in carbon, water and energy fluxes as well as in net primary productivity (NPP) of different tree components is presented for a 2‐year‐old poplar (Populus spp.) plantation. A thorough ecophysiological study was performed at ecosystem scale, at tree and at leaf level, in this high‐density bioenergy plantation. Seasonal variation in NPP and fluxes was analysed in relation to meteorological parameters at the field site. The growing season length in terms of carbon uptake was controlled by leaf area development until the maximum leaf area index (LAI_max) was reached. Afterwards, a shift to belowground carbon allocation was observed. A dry period in spring caused a reduced leaf area production as well as a decrease in net ecosystem exchange and gross primary production (GPP) due to stomatal closure. Water use efficiency and fine root growth increased in response to limiting soil water availability in the root zone. When soil water availability was not limiting, GPP was controlled by a decrease in solar radiation and air temperature. The results of this study indicate that the productivity of recently established bioenergy plantations with fast‐growing trees is very sensitive to drought. The interaction between soil water availability and factors controlling ecosystem GPP is crucial in assessing the CO₂ mitigation potential under future climate conditions.     

土地利用转变与海拔高度协同作用黄土高原植被固碳变化特征

全球固碳释碳问题一直是近年来关乎民生的热点话题,区域碳源/碳汇对生态环境的重要性不言而喻。基于CASA模型估算黄土高原1990—2015年植被净初级生产力的年际变化,并分析土地利用变化、海拔高度及两者协同作用对其综合影响,结果表明：(1)黄土高原1990—2015年植被NPP与植被固碳总体呈增加趋势,年均NPP增速2.74 gC m^-2 a^-1,年均固碳增速1.13 TgC/a,研究区林地年均NPP(619.5 gC m^-2 a^-1)远超其他用地类型,固碳效果理想;(2)黄土高原年均NPP随高程的增加先降低后升高,年总NPP和固碳量随高程增加变化趋势相反;(3)研究区土地利用转变类型中退耕还林的植被固碳效果最好;而林地变为耕地或草地均不能达到固碳目的,此外,更推荐在研究区海拔低于1500 m变草为耕,海拔高于1500 m退耕还草,海拔高于3000 m变耕、草为林。以期为区域尺度的生态环境建设提供一定的参考和科学依据。     

Impact of afforestation-associated management changes on the carbon balance of grassland

Afforestations can be considerable carbon (C) sources due to C losses from the soil after site preparation for tree planting and decreased primary production. In this study, the transition from grassland to afforestation was investigated using two eddy flux towers, which were operated in parallel for 3 years, one on a young afforestation and one on an adjacent grassland. Differences between the fluxes at the two sites were attributable to the management of the sites, without confounding influences of meteorological variability. Site preparation with deep ploughing of the planting rows destroyed 30% of the grassland vegetation at the afforestation site and reduced gross primary productivity by 41% in the first year. At the afforestation site 38 g m^?2 less C was sequestered compared with the nonafforested grassland during the first year. In the following years, the C sink at the afforestation site was higher than at the grassland indicating that soil C loss due to site preparation and land use change on the afforestation occurred only during the first year. Metrological conditions, especially summer drought, caused a high interannual variability of the C balance: both sites were small C sources in 2005 (67 g C m^?2 a^?1 at the grassland and 19 g C g^?1 a^?1 at the afforestation site) and small C sinks in 2004 and 2006 (?72.5 and ?16 g C m^?2 a^?1 at the grassland and ?34 and ?61 g C g^?1 a^?1 at the afforestation). Sheep grazing and mowing affected the short‐term dynamics of the C balance and sheep grazing accelerated the C turnover on the grassland site. The investigated afforestation site did not provide any short‐term way of sequestering additional C even though soil C losses during the first 3 years were relatively small.     

植物与微生物碳利用效率及影响因子研究进展

陆地生态系统碳循环是生物地球化学循环的关键过程之一。碳利用效率（carbon use efficiency,CUE）是描述生物用于形成生物量的碳占其所吸收总碳比例的一个定量指标,反映了生物的碳同化能力和固碳潜力,是研究生态系统碳循环中碳通量和碳分配模式的重要参数,能有效预测生物与周围环境之间的碳流通和碳反馈。目前,关于CUE的研究还不充分,尤其是对CUE及其影响因子的系统性综合论述还较少。为此,本文综述了国内外有关碳利用效率（植物碳利用效率（CUE_a）和微生物碳利用效率（CUE_h））的研究方法和研究进展,分析了CUE_a和CUE_h的异同、内在联系及作用机理。基于分析对今后的研究提出几点展望：（1）优化测量手段和计算方法,适当地调整参数,将模型方法与实测数据结合,使CUE的定量描述结果更准确;（2）结合不同尺度的研究结果,探究个体、种群、群落、生态系统等不同空间尺度和时间尺度上CUE的联系及变化规律,为碳循环和碳流通的时空变化规律提供新证据;（3）研究CUE对全球变化（如高温、干旱、CO₂浓度增加等）的响应,探讨CUE对未来气候情景的响应和适应机制;（4）开展有关物种丰富度或生物多样性的梯度变化对CUE的影响研究,阐释物种多样性减少或物种灭绝等现象对碳循环过程的影响,将生态系统物种多样性与生态系统功能相联系;（5）加强对CUE_h的研究,定量探究其与CUE_a的异同,并将二者结合起来,更全面地解释地上-地下生态系统碳的分配特征。同时适当开展动物CUE的研究,目前该类研究还缺乏系统性。     

2000-2015年宁夏草地净初级生产力时空特征及其气候响应

草地是宁夏陆地生态系统的重要组成部分,估算其净初级生产力（NPP）对宁夏草地可持续利用与管理至关重要。采用MODIS数据和CASA模型对2000-2015年间宁夏草地生态系统NPP进行了估算,通过一元线性回归趋势分析、Hurst指数等方法研究草地NPP的时空变化规律及未来演变趋势,并分析草地NPP与气象因子的相关性。结果表明：（1）基于CASA模型的宁夏草地NPP模拟精度高,其估算值与实测多年草地NPP均值具有良好的线性关系（R=0.93,P < 0.01）,与MOD17产品的草地NPP空间分布基本一致。（2）近16 a宁夏草地年均NPP为148.28 g C m^-2 a^-1,且存在波动上升的趋势,其线性增长率为3.84 g C m^-2 a^-1（P < 0.01）。（3）宁夏草地NPP整体处于上升趋势,草地NPP增长的草地面积达98%,且其增率自南向北递减;宁夏草地NPP的Hurst指数在0.27-0.81之间,均值为0.53,大部分草地的NPP变化趋势具有较强同向持续性。（4）在年时间尺度上,宁夏草地NPP主要受降水量的影响,与气温的相关性较弱;在月时间尺度上,生长季草地NPP与月总降水量的相关性高,且不存在时间滞后响应现象,而与月均温的响应则存在1个月的时间滞后性,宁夏大面积分布的干草原与荒漠草原NPP对气温响应滞后是导致这一现象发生的主要原因。     

Impacts of land use change due to biofuel crops on carbon balance,bioenergy production,and agricultural yield,in the conterminous United States

Growing concerns about energy and the environment have led to worldwide use of bioenergy. Switching from food crops to biofuel crops is an option to meet the fast‐growing need for biofuel feedstocks. This land use change consequently affects the ecosystem carbon balance. In this study, we used a biogeochemistry model, the Terrestrial Ecosystem Model, to evaluate the impacts of this change on the carbon balance, bioenergy production, and agricultural yield, assuming that several land use change scenarios from corn, soybean, and wheat to biofuel crops of switchgrass and Miscanthus will occur. We found that biofuel crops have much higher net primary production (NPP) than soybean and wheat crops. When food crops from current agricultural lands were changed to different biofuel crops, the national total NPP increased in all cases by a range of 0.14–0.88 Pg C yr^?1, except while switching from corn to switchgrass when a decrease of 14% was observed. Miscanthus is more productive than switchgrass, producing about 2.5 times the NPP of switchgrass. The net carbon loss ranges from 1.0 to 6.3 Tg C yr^?1 if food crops are changed to switchgrass, and from 0.4 to 6.7 Tg C yr^?1 if changed to Miscanthus. The largest loss was observed when soybean crops were replaced with biofuel crops. Soil organic carbon increased significantly when land use changed, reaching 100 Mg C ha^?1 in biofuel crop ecosystems. When switching from food crops to Miscanthus, the per unit area croplands produced a larger amount of ethanol than that of original food crops. In comparison, the land use change from wheat to Miscanthus produced more biomass and sequestrated more carbon. Our study suggests that Miscanthus could better serve as an energy crop than food crops or switchgrass, considering both economic and environmental benefits.     

China's crop productivity and soil carbon storage as influenced by multifactor global change

Much concern has been raised about how multifactor global change has affected food security and carbon sequestration capacity in China. By using a process‐based ecosystem model, the Dynamic Land Ecosystem Model (DLEM), in conjunction with the newly developed driving information on multiple environmental factors (climate, atmospheric CO₂, tropospheric ozone, nitrogen deposition, and land cover/land use change), we quantified spatial and temporal patterns of net primary production (NPP) and soil organic carbon storage (SOC) across China's croplands during 1980–2005 and investigated the underlying mechanisms. Simulated results showed that both crop NPP and SOC increased from 1980 to 2005, and the highest annual NPP occurred in the Southeast (SE) region (0.32 Pg C yr^?1, 35.4% of the total NPP) whereas the largest annual SOC (2.29 Pg C yr^?1, 35.4% of the total SOC) was found in the Northeast (NE) region. Land management practices, particularly nitrogen fertilizer application, appear to be the most important factor in stimulating increase in NPP and SOC. However, tropospheric ozone pollution and climate change led to NPP reduction and SOC loss. Our results suggest that China's crop productivity and soil carbon storage could be enhanced through minimizing tropospheric ozone pollution and improving nitrogen fertilizer use efficiency.     

中国干旱半干旱区植被降水利用效率时空变化特征及影响因素分析

植被的降水利用效率（Precipitation use efficiency,PUE）是表征植被生产力对降水量时空动态变化响应特征的重要指示器,对了解干旱环境下植被生产力的变化尤为关键。基于中国干旱半干旱区2000-2020年的植被净初级生产力、降水量、气温、土地利用类型和地形等数据,分析了中国干旱半干旱区植被降水利用效率的时空特征及其变化趋势,探究了植被PUE与气候因子的关联以及气候变化下土地利用和地形对植被PUE的影响。研究结果表明：（1）2000-2020年中国干旱半干旱区植被平均PUE为0.41 g C m^-2 mm^-1,不同土地利用类型下植被PUE的大小顺序为：草地<湿地<灌木<耕地<林地。（2）植被PUE年际变化整体呈现波动上升趋势,上升速率为0.004 g C m^-2 mm^-1,其中呈现显著改善趋势的面积占总面积的12.24%。（3）气温升高在不同程度上对大多数植被PUE起到促进作用,而降水增多则会抑制绝大多数区域的植被PUE。植被较少的区域,植被降水利用效率与气温、降水两气候因子基本无关。（4）随着海拔的升高,植被PUE呈现出先减后增再减的趋势。随着海拔的变化,气温依然与植被PUE呈正相关,降水依然与植被PUE呈负相关。研究结果可为中国干旱半干旱区生态系统保护、恢复以及可持续利用提供科学参考。     

近20年海南岛植被生态质量变化特征分析

海南是国家生态文明试验区,是我国生态环境最好的省份之一.基于2000—2019年MODIS—NDVI海南岛植被覆盖度、植被净初级生产力、植被生态质量指数及地面气象观测资料,分析了海南岛植被生态质量变化情况以及气象条件对植被生态质量的影响.结果表明:2000年以来,海南岛植被生态质量指数呈增大趋势,植被生态质量整体向好....     

The impact of extensive planting of Miscanthus as an energy crop on future CO2 atmospheric concentrations

A process‐based model of the energy crop Miscanthus×giganteus is integrated into the global climate impact model IMOGEN, simulating the potential of large‐scale Miscanthus plantation to offset fossil fuel emissions during the 21st century. This simulation produces spatially explicit, annual projections of Miscanthus yields from the present day to the year 2100 under an SRES A2 anthropogenic emissions scenario and includes the effects of climate change. IMOGEN also simulates natural vegetation and soil carbon storage throughout the 21st century. The benefit of Miscanthus cultivation (avoiding fossil fuel emissions of CO₂) is then compared with the cost of displacing natural vegetation (carbon emissions from vegetation and soil). The time taken for these effects to cancel out, the pay‐back time, is calculated regionally. The effects of large‐scale Miscanthus plantation are then integrated globally to produce an estimate of atmospheric CO₂ concentrations throughout the 21st century. Our best estimate of the pay‐back time for Miscanthus plantation is 30 years. We project a maximum possible reduction in atmospheric CO₂ of 323 ppmv by the end of 21st century, with a reduction of 162 ppmv corresponding to the best estimate scenario.     

Long‐term impacts of agricultural practices and climatic variability on carbon storage in a permanent pasture

Intra‐ and interannual variability of precipitation can lead to major modifications of grassland production and carbon storage capacity. Greater understanding of how climatic variability affects net CO₂ exchange [i.e. net ecosystem exchange (NEE)] of grazed grasslands is important to adapt grassland management and reduce risks of carbon losses. Since 2002, we continuously measured NEE (i.e. eddy covariance technique) on an upland grassland site (7 ha), divided in two paddocks grazed by heifers (intensive: 1 LSU ha^?1 yr^?1, 213 kg N ha^?1 yr^?1 and extensive: 0.5 LSU ha^?1 yr^?1, no fertilization). For years with dry and warm growing seasons (i.e. 2003, 2005 and 2008), absolute annual NEE was higher in the intensive paddock compared with the extensive paddock. The opposite was observed during years of ample seasonal rainfall and soil moisture (i.e. 2004, 2006 and 2007). Contrasted management led to two distinct plant communities being different in leaf area index (LAI), soil bulk density and soil water holding capacity. Differences in annual NEEs could thus be assigned to interactions between in carbon and water fluxes during dry and wet growth periods. Dry growth periods led to a reduction in weekly gross primary productivity (GPP) in the extensively managed paddock, whereas the GPP was maintained in the intensive paddock. In turn, during wet growth periods, GPP was similar in both paddocks, whereas N amendment and frequent defoliation significantly increased ecosystem respiration in the intensive paddock, presumably through a higher heterotrophic respiration following on a better C substrate quality and availability (rhizodeposition and senescent fine roots). In the extensive paddock, where plant cover was denser (reducing soil temperature) and less decomposable, C losses through heterotrophic respiration were comparatively smaller under wet conditions. Our results demonstrate that grassland subjected to a moderately intensive management could be more resilient in terms of carbon storage during drought and heat waves, presumably because of a trade‐off between heterotrophic and autotrophic respiration.     

山西省植被NPP时空变化特征及其驱动力分析

为科学有效地管理和调控植被资源,解决水土流失、植被减少等生态问题,该研究依据山西省2005—2015年MOD17A3H数据,利用ARCGIS、ENVI等软件,运用统计学分析方法,揭示了山西省植被NPP时空分布变化规律及对气候、人为等影响因素的响应特征。结果表明:山西省植被NPP平均值为326.5 g(C)·m~(-2)·a~(-1),其中草地、耕地、灌丛和林地的NPP多年平均值依次为300.3、353.6、366.5和390.1 g(C)·m~(-2)·a~(-1);植被NPP总体波动增大、变化为显著、极显著、显著增大区域面积比例达56.33%,集中在山西省西部;植被NPP极显著、显著减小区域面积集中在山西省东南角,占比为2.22%;草地NPP变化速率最大,耕地大于灌丛,林地最小;植被NPP平均值和降水平均值之间表现为呈显著正相关。基于栅格单元值计算,全省17.01%的区域植被NPP与降水之间表现为显著或极显著正相关,集中在山西省北部;全省3.66%的区域植被NPP与气温之间表现为显著或极显著负相关,集中在山西省中部。这表明2005—2015年,山西省植被NPP总体呈好转趋势;不同植被对人类活动及环境变化的响应有所差异,草地、耕地生态结构稳定性较弱,NPP变化明显,灌丛和林地稳定性较强,NPP数值稳定;植被NPP与降水之间呈显著正相关,与气温之间呈负相关,气候因子整体上促进植被NPP增大,人为因素整体上抑制植被NPP增大。     

Water use and yield of bioenergy poplar in future climates: modelling the interactive effects of elevated atmospheric CO2 and climate on productivity and water use

Vegetation exerts large control on global biogeochemical cycles through the processes of photosynthesis and transpiration that exchange CO₂ and water between the land and the atmosphere. Increasing atmospheric CO₂ concentrations exert direct effects on vegetation through enhanced photosynthesis and reduced stomatal conductance, and indirect effects through changes in climatic variables that drive these processes. How these direct and indirect CO₂ impacts interact with each other to affect plant productivity and water use has not been explicitly analysed and remains unclear, yet is important to fully understand the response of the global carbon cycle to future climate change. Here, we use a set of factorial modelling experiments to quantify the direct and indirect impacts of atmospheric CO₂ and their interaction on yield and water use in bioenergy short rotation coppice poplar, in addition to quantifying the impact of other environmental drivers such as soil type. We use the JULES land‐surface model forced with a ten‐member ensemble of projected climate change for 2100 with atmospheric CO₂ concentrations representative of the A1B emissions scenario. We show that the simulated response of plant productivity to future climate change was nonadditive in JULES, however this nonadditivity was not apparent for plant transpiration. The responses of both growth and transpiration under all experimental scenarios were highly variable between sites, highlighting the complexity of interactions between direct physiological CO₂ effects and indirect climate effects. As a result, no general pattern explaining the response of bioenergy poplar water use and yield to future climate change could be discerned across sites. This study suggests attempts to infer future climate change impacts on the land biosphere from studies that force with either the direct or indirect CO₂ effects in isolation from each other may lead to incorrect conclusions in terms of both the direction and magnitude of plant response to future climate change.     

2009-2011年我国西南地区旱灾程度及其对植被净初级生产力的影响

2009—2011年,我国西南地区遭受了极端干旱气候影响。利用1980—2011年气象站点观测数据和基于光能利用率的植被净初级生产力估算模型Glo PEM,研究了2009—2011年西南地区干旱灾害过程和程度及其对植被净初级生产力的影响,结果显示:2009—2011年西南地区年均降水量和湿润指数明显低于1980—2008年均值。受干旱气候影响,研究区植被净初级生产力比2001—2011年均值低12.55 g C m-2a-1,总计低0.017 Pg C/a,造成的碳损失约占我国总碳汇的7.91%。2001—2011年西南地区植被净初级生产力与蒸散量变化显著相关(R2=0.44,P0.05),而降水量和湿润指数变化过程与植被净初级生产力和蒸散量不同步,可能是由于该地区森林覆盖率较高,具有较强的涵养水源功能,导致土壤湿度变化滞后于降水量和湿润指数变化,从而使降水量变化过程与植被净初级生产力变化不同步。     

水热波动和土地覆盖变化对东北地区植被NPP的相对影响

研究水热波动和土地覆盖变化对植被净初级生产力(Net Primary Productivity, NPP)的影响对于估算陆地碳循环及其驱动机制具有重要意义。利用MODIS遥感影像获得的时间序列NPP和土地覆盖产品,结合气象观测数据(气温和降水),采用相关分析、回归分析和空间分析相结合的方法,研究2000—2015年东北地区植被NPP的时空变化特征,并定量评估水热波动和土地覆盖变化对该地区植被NPP的相对影响。研究结果表明,2000—2015年东北地区植被NPP呈波动上升趋势,从2000年的369.24 g C m^-2 a^-1增加到2015年的453.84 g C m^-2 a^-1,平均值是412.10 g C m^-2 a^-1,年际增加速率为4.54 g C m^-2 a^-1。近16年来东北地区年均植被NPP空间上呈现南高北低、东高西低的分布格局,整体变化趋势以增加为主,其中轻微增加面积占该地区总面积的45.9%。不同...     

The influence of drought and heat stress on long‐term carbon fluxes of bioenergy crops grown in the Midwestern USA

Perennial grasses are promising feedstocks for bioenergy production in the Midwestern USA. Few experiments have addressed how drought influences their carbon fluxes and storage. This study provides a direct comparison of ecosystem‐scale measurements of carbon fluxes associated with miscanthus (Miscanthus × giganteus), switchgrass (Panicum virgatum), restored native prairie and maize (Zea mays)/soybean (Glycine max) ecosystems. The main objective of this study was to assess the influence of a naturally occurring drought during 2012 on key components of the carbon cycle and plant development relative to non‐extreme years. The perennials reached full maturity 3–5 years after establishment. Miscanthus had the highest gross primary production (GPP) and lowest net ecosystem exchange (NEE) in 2012 followed by similar values for switchgrass and prairie, and the row crops had the lowest GPP and highest NEE. A post‐drought effect was observed for miscanthus. Over the duration of the experiment, perennial ecosystems were carbon sinks, as indicated by negative net ecosystem carbon balance (NECB), while maize/soybean was a net carbon source. Our observations suggest that perennial ecosystems, and in particular miscanthus, can provide a high yield and a large potential for CO₂ fixation even during drought, although drought may negatively influence carbon uptake in the following year, questioning the long‐term consequence of its maintained productivity.     

基于土地利用变化的热带植物群落功能性状与土壤质量的关系

为了明确热带天然林转变为橡胶林和槟榔后土壤质量变化,揭示土地利用变化下植物群落功能性状对土壤质量影响。在海南中部山区,以原始林(PF)、次生林(SF)、槟榔(Areca catechu)林(AP)、纯橡胶(Hevea brasiliensis)林(RP)和橡胶益智(Alpinia oxyphylla)林(RAP)为对象,探索天然林退化后土壤性质和质量变化,分析了植物群落功能性状(凋落物量、郁闭度、根长密度、细根密度和比根长)对土壤质量影响。结果表明:1)与原始林相比,其他土地利用类型凋落物量、根长密度、细根密度、土壤总孔隙度、最大持水量、土壤有机碳和总氮显著降低,土壤容重显著增加。人工林土壤碱解氮明显降低,但总磷、总钾和缓效钾明显升高(P0.05)。2)与原始林相比,次生林、槟榔林、纯橡胶林和橡胶益智林土壤质量指数分别降低63.4%、85.8%、81.2%和84.1%,随原始林、次生林和人工林梯度土地利用强度的增加,土壤质量显著降低(P0.05),但人工林间土壤质量无显著差异。3)凋落物量、郁闭度、根长密度和细根密度均与土壤质量指数显著正相关(P0.05),细根密度对土壤质量的直接影响效应最大,凋落物间接影响效应最大。天然林转变为橡胶和槟榔林显著改变土壤性质和质量,群落性状细根密度和凋落物可较好解释土壤质量变化,强化人工林林下植被和凋落物管理有利于土壤质量改善。