992 resultados para carbon flux


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植被和大气之间CO2通量的长期观测有助于理解陆地生态系统的碳循环及其控制机理,评价生态系统碳循环及其对未来气候变化的响应。本研究以中国北方克氏针茅草原为研究对象,以涡度相关法为主要技术手段,利用克氏针茅草原观测站碳通量的长期连续观测数据,探讨了环境因子在不同时间尺度上对克氏针茅草原光合生产力(GEP)、系统呼吸(Re)和净CO2交换(NEE)的影响,分析了克氏针茅草原碳通量的季节变化和年际碳收支动态。主要得到以下结论: (1) 温度和土壤水分是调控克氏针茅草原光响应曲线的关键环境因子。10-20oC是克氏针茅草原瞬时GEP的最适温度,15-20oC是日GEP的最适温度。GEP日总值随土壤水分的增加呈二次曲线关系,当土壤含水量(SWC)超过0.2 m3m-3时,GEP日总值不再增加。 (2) 克氏针茅草原Re同时受温度和土壤水分的控制。降雨脉冲对短期系统呼吸有激发作用。Lloyd & Taylor方程对Re的拟合效果好于指数方程。 (3) 克氏针茅草原表现出白天净碳吸收和夜间净碳释放的日变化特征,并且往往出现上午碳吸收强、下午碳吸收弱的不对称现象。降雨的季节分布通过SWC的季节变异间接影响克氏针茅草原NEE的季节变化。在日尺度上,NEE主要受温度和土壤水分的控制,10-20oC的空气温度有助于克氏针茅草原吸收CO2。在月尺度上,NEE主要受土壤水分的控制。 (4) 生长季的长度是决定克氏针茅草原源汇变化的关键因子。 (5) 克氏针茅草原的GEP、Re和NEE都具有非常明显的季节变化。冬季或干旱胁迫下量级较低,温暖和湿润季节的量级较高。干旱胁迫同时抑制植被的GEP和Re,对GEP的抑制强度更大,随着土壤水分的下降,不同尺度的NEE累积值逐渐向正值转变,即生态系统由碳汇转变为碳源。 (6) 克氏针茅草原2005年降雨量只有174mm,当年GEP和Re也是三年中最低的,只有101和169gCm-2yr-1;2006年降雨量为215mm,GEP和Re是三年中最强的,分别为149 和187gCm-2yr-1;2004年降雨量为297mm,接近多年平均,但大部分降雨发生在8、9月份,GEP和Re分别为141和190gCm-2yr-1。 (7) 克氏针茅草原在2004、2005和2006年碳收支分别为:49、68和37 gCm-2yr-1。未来全球气候的变暖可能对克氏针茅草原的碳汇功能产生负面影响,降雨的季节不均匀分布可能加强这种影响。

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森林作为陆地生态系统的主体,在全球陆地碳循环中起着决定性作用。实测和模型研究均表明北半球的森林是重要的大气CO2汇,在缓解全球碳收支失衡中发挥着关键作用。过去几十年北半球所经历的显著气候变化,已经很大地改变了陆地生态系统的碳平衡状况。随着未来100年气候变化继续增大,对未来气候变化下森林生态系统碳平衡的预测研究就尤为重要。 北京山区森林属于典型的暖温带森林生态系统,前人对本区森林的植被特征、生态系统结构和功能、养分循环以及长期动态变化等都进行了深入的研究。然而长期的人类活动已使本区原生的地带性植被破坏殆尽。因此,对该区域森林生态系统碳平衡的模拟研究可以帮助我们认识其生态系统碳平衡变化特点及未来气候变化对其潜在的影响。 本研究采用LPJ-GUESS植被动态机理模型,利用IPCC于2000年发布的《排放情景特别报告》(SRES)的A2和B2两种情景下不同气候模式对华北地区未来100年温度和降水预测的平均值以及相应大气CO2浓度变化情景进行驱动,模拟北京山区未来100年暖温带森林生态系统的净初级生产力和碳平衡,尽可能真实地反映未来百年的变化趋势。通过比较当前和未来气候情景下北京山区以辽东栎(Quercus liaotungensis)为优势种的落叶阔叶林、以白桦(Betula platyphylla)为主的落叶阔叶林和油松(Pinus tabulaeformis)为主的针阔混交林三种典型暖温带森林生态系统的碳平衡差异,了解未来北京山区这三种暖温带森林生态系统的碳源汇功能,认识气候变化和大气CO2浓度升高对净初级生产力(Net primary productivity, NPP)、净生态系统碳交换(Net ecosystem exchange, NEE)、土壤异养呼吸(Heterotrophic respiration, Rh)和碳储量(Carbon biomass, C biomass)的影响,以及不同生态系统碳平衡对气候变化响应的异质性。 结果表明,未来100年两种气候情景下三种森林生态系统的NPP和Rh均增加,并且A2情景下增加的程度更大。由于三种生态系统树种组成的不同,未来气候情景下各自NPP和Rh增加的比例不同,导致三者NEE的变化也相异:100年后辽东栎林由碳汇转变为弱碳源,白桦林仍保持为碳汇但功能减弱,油松林成为一个更大的碳汇。三种森林生态系统的碳生物量在未来气候情景下均增大,21世纪末与20世纪末相比:辽东栎林在A2情景下碳生物量增加的比例为27.6%,大于B2情景下的19.3%;白桦林和油松林在B2情景下碳生物量增加的比例分别为34.2%和52.2%,大于A2情景下的30.8%和28.4%。各森林类型碳平衡状况不同,原因除气候因素外,主要是由于树种组成的差异所导致。SRES A2和B2两种气候情景相比,相对较低的排放情景(B2)下,生态系统有更高的碳储量。

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全球变化背景下人类生存环境及社会经济的可持续发展要求,使得水循环和碳循环成为科学研究的关注点。湿地与森林、海洋并称为全球三大生态系统,与生态平衡、人类生存和经济社会可持续发展息息相关,特别是湿地的碳汇功能使得其在全球碳循环中具有重要作用。我国湿地面积占亚洲第一位,世界第四位,占世界湿地面积的11.9% 。但是,与森林、草地与农田等生态系统相比,湿地水碳循环控制机制研究的甚少,制约着湿地生态系统的水碳管理。 本论文基于2005~2007 年盘锦芦苇湿地生态系统野外观测站的涡度相关系统的水碳通量和气象环境因子的连续观测数据,结合芦苇湿地生态系统的生物学调查资料,较系统地分析了芦苇湿地生态系统水汽通量和碳通量的动态特征,探讨了不同时间尺度芦苇湿地生态系统水汽通量和碳通量的环境控制机制。主要结论如下: (1)芦苇湿地生态系统蒸散的日、季变化显著。2005~2007 年盘锦芦苇湿地生态系统的年蒸散量分别为432、480 和445 mm。非生长季(11 月~次年4 月)对全年蒸散量的贡献约13~16%,表明在湿地蒸散年总量的估算中不能忽略非生长季的贡献。 (2)关于动力作用和热力作用对芦苇湿地蒸散的贡献表明,能量是驱动芦苇湿地蒸散的重要因素,在小时至月尺度上均起着主导作用;时间尺度越长,能量因子对蒸散变异的解释率越大。仅温度就能解释蒸散月总量变异的95%左右。但是,随着时间尺度的降低,水分条件如饱和水汽压差、相对湿度,对芦苇湿地蒸散的作用逐渐显现。降雨和蒸散的变化虽然没有统计上的相关性,但短时段的降雨可能导致雨后蒸散增强,而持续多天的阴雨天气却能导致蒸散量连续下降。 (3)基于芦苇湿地生态系统作物系数(kc)具有显著日间变异的事实,发展了耦合气温、相对湿度和净辐射影响的芦苇湿地日作物系数模型,弥补了国际粮农组织建议的蒸发散估算模型FAO56 缺乏适宜湿地作物系数的不足。 (4)芦苇湿地生态系统呼吸呈单峰型季节变化,2005~2007 年生态系统呼吸的年总量分别为834、894 和872 g C m-2 yr-1,非生长季芦苇湿地的生态系统呼吸碳排放量为102~136 g C m-2 season-1,占全年生态系统呼吸总量的12~16%。这说明,非生长季湿地生态系统的碳排放通量不可忽视。温度是小时至月尺度的生态系统呼吸控制因子;同时,生物因素也对芦苇湿地生态系统呼吸有显著影响。生态系统呼吸对温度的响应呈指数函数关系,二者间的响应受土壤水分的影响。当表层土壤含水量(5 cm) 为20~25%时,芦苇湿地生态系统呼吸的潜力(Reco,10)最大。生态系统呼吸的日值与地上生物量、叶面积指数呈对数正相关,而与冠层高度呈显著二次曲线关系。生态系统呼吸的年际差异并不是由温度变化引起,而与植被生长状况密切相关。 (5)芦苇湿地生态系统的净碳交换季节变化明显,变化范围在-12.9~4.2 g C m-2 day-1 之间。一般在5~9 月表现为大气CO2 的汇,其余月份为碳源。其中,净碳吸收最大的月份为6、7 月,而净碳排放最大的月份为4、10 月。2005~2007 年的年碳收支分别为-55、-230 和-53 g C m-2 yr-1,呈碳汇。 (6)不同时间尺度的净碳交换控制因子不同。小时尺度上,影响芦苇湿地生态系统净碳交换的环境因子主要是光合有效辐射(PAR) 。芦苇湿地生态系统光合作用的光响应参数(α、Amax 和Reco)随温度指数上升,而与叶面积指数呈线性正相关。光响应参数的这种显著季节波动表明,在生态系统碳循环模型中不应该将生态系统的光合作用参数视为常数,应该考虑采用光响应参数与环境和生物因子间的定量关系来反映光合作用光响应参数动态。日尺度上,温度是芦苇湿地碳交换的主要控制因子,湿地净碳交换在15℃左右由正值变为负值,芦苇湿地由碳源变为碳汇。除温度外,饱和水汽压差对日尺度净碳交换波动也有影响,二者呈二次曲线关系(U 型),当饱和水汽压差在0.8 kPa 附近时,芦苇湿地净碳吸收达到最大。月尺度上,影响芦苇湿地净碳交换的主要环境因子依然是温度,二者间表现出“非对称响应”特征。 (7)对芦苇湿地碳交换各组分间的关系分析表明,芦苇湿地生态系统呼吸和净碳交换均受总光合生产力的显著影响,即通过光合作用产物来源控制。

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Phytoplankton size structure plays a significant role in controlling the carbon flux of marine pelagic ecosystems. The mesoscale distribution and seasonal variation of total and size-fractionated phytoplankton biomass in surface waters. as measured by chlorophyll a (Chl a), was studied in the Southern Yellow Sea using data from four cruises during 2006-2007. The distribution of Chl a showed a high degree of spatial and temporal variation in the study area. Chl a concentrations were relatively high in the summer and autumn, with a mean of 142 and 1.27 mg m(-3), respectively. Conversely, in the winter and spring. the average Chl a levels were only 098 and 0.99 mg m(-3) Total Chl a showed a clear decreasing gradient from coastal areas to the open sea in the summer, autumn and winter cruises. Patches of high Chl a were observed in the central part of the Southern Yellow Sea in the spring due to the onset of the phytoplankton bloom. The eutrophic coastal waters contributed at least 68% of the total phytoplankton biomass in the surface layer. Picophytoplankton showed a consistent and absolute dominance in the central region of the Southern Yellow Sea (>40%) in all of the cruises, while the proportion of microphytoplankton was the highest in coastal waters The relative proportions of pico- and nanophytoplankton decreased with total biomass, whereas the proportion of the micro-fraction increased with total biomass. Relationships between phytoplankton biomass and environmental factors were also analysed. The results showed that the onset of the spring bloom was highly dependent on water column stability. Phytoplankton growth was limited by nutrient availability in the summer due to the strong thermocline. The combined effects of P-limitation and vertical mixing in the autumn restrained the further increase of phytoplankton biomass in the Surface layer. The low phytoplankton biomass in winter was caused by vertical dispersion due to intense mixing. Compared with the availability of nutrients. temperature did not seem to cause direct effects on phytoplankton biomass and its size structure. Although interactions of many different environmental factors affected phytoplankton distributions. hydrodynamic conditions seemed to be the dominant factor. Phytoplankton size structure was determined mainly by the size-differential capacity in acquiring resource. Short time scale events, such as the spring bloom and the extension of Yangtze River plume, can have substantial influences, both on the total Chl a concentration and on the size structure of the phytoplankton. (C) 2009 Elsevier Ltd. All rights reserved.

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Dilution experiments were performed to examine the growth rate and grazing mortality rate of size-fractionated phytoplankton at three typical stations, inside and outside the bay, in the spring and summer of 2003 in the Jiaozhou Bay, China. in spring, the phytoplankton community structure was similar among the three stations, and was mainly composed of nanophytoplankton, such as, Skeletonema costatum and Cylindrotheca closterium. The structure became significantly different for the three stations in summer, when the dominant species at Stas A, B and C were Chaetoceros curvisetus, Pseudo-nitzschia delicatissima, C. affinis, C. debilis, Coscinodiscus oculus-iridis and Paralia sulcata respectively. Tintinnopsis beroidea and T. tsingtaoensis were the dominant species in spring, whereas the microzooplankton was apparently dominated by Strombidium sp. in summer. Pico- and nanophytoplankton had a relatively greater growth rate than microzooplankton both in spring and summer. The growth rate and grazing mortality rate were 0.18 similar to 0.44 and 0.12 similar to 1.47 d(-1) for the total phytoplankton and 0.20 similar to 0.55 and 0.21 similar to 0.37 d-1 for nanophytoplankton in spring respectively. In summer, the growth rate and grazing mortality rate were 0.38 similar to 0.71 and 0.27 similar to 0.60 d-1 for the total phytoplankton and 0.11 similar to 1.18 and 0.41 similar to 0.72 d(-1) for nano- and microphytoplankton respectively. The carbon flux consumed by microzooplankton per day was 7.68 similar to 39.81 mg/m(3) in spring and 12.03 similar to 138.22 mg/m(3) in summer respectively. Microzooplankton ingested 17.56%similar to 92.19% of the phytoplankton standing stocks and 31.77%similar to 467.88% of the potential primary productivity in spring; in contrast, they ingested 34.60%similar to 83.04% of the phytoplankton standing stocks and 71.28%similar to 98.80% of the potential primary productivity in summer. Pico- and nanophytoplankton appeared to have relatively greater rates of growth and grazing mortality than microphytoplankton during the experimental period. The grazing rate of microzooplankton in summer was a little bit greater than that in spring because of the relatively higher incubation temperature and different dominant microzooplankton species. Microzooplankton preferred ingesting nanophytoplankton to microphytoplankton in spring, while they preferred ingesting picophytoplankton to nanophytoplankton and microphytoplankton in summer. Compared with the results of dilution experiments performed in various waters worldwide, the results are in the middle range.

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Dilution experiments were performed to examine the growth and grazing mortality rates of picophytoplankton (< 2 mu m), nanophytoplankton (2-20 mu m), and microphytoplankton (> 20 mu m) at stations in the Chesapeake Bay (CB), the Delaware Inland Bays (DIB) and the Delaware Bay (DB), in early spring 2005. At station CB microphytoplankton, including chain-forming diatoms were dominant, and the microzooplankton assemblage was mainly composed of the tintinnid Tintinnopsis beroidea. At station DIB, the dominant species were microphytoplanktonic dinoflagellates, while the microzooplankton community was mainly composed of copepod nauplii and the oligotrich ciliate Strombidium sp. At station DB, nanophytoplankton were dominant components, and Strombidium and Tintinnopsis beroidea were the co-dominant microzooplankton. The growth rate and grazing mortality rate were 0.13-3.43 and 0.09-1.92 d(-1) for the different size fractionated phytoplankton. The microzooplankton ingested 73, 171, and 49% of standing stocks, and 95, 70, and 48% of potential primary productivity for total phytoplankton at station CB, DIB, and DB respectively. The carbon flux for total phytoplankton consumed by microzooplankton was 1224.11, 100.76, and 85.85 mu g C 1(-1) d(-1) at station CB, DIB, and DB, respectively. According to the grazing mortality rate, carbon consumption rate and carbon flux turn over rates, microzooplankton in study area mostly preferred to graze on picophytoplankton, which was faster growing but was lowest biomass component of the phytoplankton. The faster grazing on Fast-Growing-Low-Biomass (FGLB) phenomenon in coastal regions is explained as a resource partitioning strategy. This quite likely argues that although microzooplankton grazes strongly on phytoplankton in these regions, these microzooplankton grazers are passive.

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We used an eddy covariance technique to measure evapotranspiration and carbon flux over two very different growing seasons for a typical steppe on the Inner Mongolia Plateau, China. The rainfall during the 2004 growing season (344.7 mm) was close to the annual average (350.43 mm). In contrast, precipitation during the 2005 growing season was significantly lower than average (only 126 mm). The wet 2004 growing season had a higher peak evapotranspiration (4 mm day(-1)) than did the dry 2005 growing season (3.3 mm day(-1)). In 2004, latent heat flux was mainly a consumption resource for net radiation, accounting for similar to 46% of net radiation. However, sensible heat flux dominated the energy budget over the whole growing season in 2005, accounting for 60% of net radiation. The evaporative rate (LE/R-n) dropped by a factor of four from the non-soil stress to soil water limiting conditions. Maximum half-hourly CO2 uptake was -0.68 mg m(-2) s(-1) and maximum ecosystem exchange was 4.3 g CO2 m(-2) day(-1) in 2004. The 2005 drought growing stage had a maximum CO2 exchange value of only -0.22 mg m(-2) s(-1) and a continuous positive integrated-daily CO2 flux over the entire growing season, i.e. the ecosystem became a net carbon source. Soil respiration was temperature dependent when the soil was under non-limiting soil moisture conditions, but this response declined with soil water stress. Water availability and a high vapor pressure deficit severely limited carbon fixing of this ecosystem; thus, during the growing season, the capacity to fix CO2 was closely related to both timing and frequency of rainfall events. (c) 2007 Published by Elsevier Masson SAS.

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Fatty acid degradation in most organisms occurs primarily via the beta-oxidation cycle. In mammals, beta-oxidation occurs in both mitochondria and peroxisomes, whereas plants and most fungi harbor the beta-oxidation cycle only in the peroxisomes. Although several of the enzymes participating in this pathway in both organelles are similar, some distinct physiological roles have been uncovered. Recent advances in the structural elucidation of numerous mammalian and yeast enzymes involved in beta-oxidation have shed light on the basis of the substrate specificity for several of them. Of particular interest is the structural organization and function of the type 1 and 2 multifunctional enzyme (MFE-1 and MFE-2), two enzymes evolutionarily distant yet catalyzing the same overall enzymatic reactions but via opposite stereochemistry. New data on the physiological roles of the various enzymes participating in beta-oxidation have been gathered through the analysis of knockout mutants in plants, yeast and animals, as well as by the use of polyhydroxyalkanoate synthesis from beta-oxidation intermediates as a tool to study carbon flux through the pathway. In plants, both forward and reverse genetics performed on the model plant Arabidopsis thaliana have revealed novel roles for beta-oxidation in the germination process that is independent of the generation of carbohydrates for growth, as well as in embryo and flower development, and the generation of the phytohormone indole-3-acetic acid and the signal molecule jasmonic acid.

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The overall attempt of the study was aimed to understand the microphytoplankton community composition and its variations along a highly complex and dynamic marine ecosystem, the northern Arabian Sea. The data generated provides a first of its kind knowledge on the major primary producers of the region. There appears significant response among the microphytoplankton community structure towards the variations in the hydrographic conditions during the winter monsoon period. Interannually, variations were observed within the microphytoplankton community associated with the variability in temperature patterns and the intensity of convective mixing. Changing bloom pattern and dominating species among the phytoplankton community open new frontiers and vistas towards more intense study on the biological responses towards physical processes. The production of large amount of organic matter as a result of intense blooming of Noctiluca as well as diatoms aggregations augment the particulate organic substances in these ecosystem. This definitely influences the carbon dynamics of the northern Arabian Sea. Detailed investigations based on time series as well as trophodynamic studies are necessary to elucidate the carbon flux and associated impacts of winter-spring blooms in NEAS. Arabian sea is considered as one among the hotspot for carbon dynamics and the pioneering records on the major primary producers fuels carbon based export production studies and provides a platform for future research. Moreover upcoming researches based on satellite based remote sensing on productivity patterns utilizes these insitu observations and taxonomic data sets of phytoplankton for validation of bloom specific algorithm development and its implementation. Furthermore Saurashtra coast is considered as a major fishing zone of Indian EEZ. The studies on the phytoplankton in these regions provide valuable raw data for fishery prediction models and identifying fishing zones. With the Summary and Conclusion 177 baseline data obtained further trophodynamic studies can be initiated in the complex productive North Eastern Arabian Seas (NEAS) ecosystem that is still remaining unexplored.

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Remotely sensed land cover maps are increasingly used as inputs into environmental simulation models whose outputs inform decisions and policy-making. Risks associated with these decisions are dependent on model output uncertainty, which is in turn affected by the uncertainty of land cover inputs. This article presents a method of quantifying the uncertainty that results from potential mis-classification in remotely sensed land cover maps. In addition to quantifying uncertainty in the classification of individual pixels in the map, we also address the important case where land cover maps have been upscaled to a coarser grid to suit the users’ needs and are reported as proportions of land cover type. The approach is Bayesian and incorporates several layers of modelling but is straightforward to implement. First, we incorporate data in the confusion matrix derived from an independent field survey, and discuss the appropriate way to model such data. Second, we account for spatial correlation in the true land cover map, using the remotely sensed map as a prior. Third, spatial correlation in the mis-classification characteristics is induced by modelling their variance. The result is that we are able to simulate posterior means and variances for individual sites and the entire map using a simple Monte Carlo algorithm. The method is applied to the Land Cover Map 2000 for the region of England and Wales, a map used as an input into a current dynamic carbon flux model.

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Due to the effect of catabolite repression, sugar mixtures cannot be metabolized in a rapid and efficient way implicating in lower productivity in bioprocesses using lignocellulosic hydrolysates. In gram-negative bacteria, this mechanism is mediated by the phosphotransferase system (PTS), which concomitantly internalizes and phosphorylates sugars. In this study, we isolated a UV mutant of Burkholderia sacchari, called LFM828, which transports hexoses and pentoses by a non-PTS uptake system. This mutant presented released glucose catabolite repression over the pentoses. In mixtures of glucose, xylose, and arabinose, specific growth rates and the specific sugar consumption rates were, respectively, 10 and 23% higher in LFM828, resulting in a reduced time to exhaust all sugars in the medium. However, in polyhydroxybutyrate (PHB) biosynthesis experiments it was necessary the supplementation of yeast extract to maintain higher values of growth rate and sugar consumption rate. The deficient growth in mineral medium was partially recovered by replacing the ammonium nitrogen source by glutamate. It was demonstrated that the ammonium metabolism is not defective in LFM828, differently from ammonium, glutamate can also be used as carbon and energy allowing an improvement on the carbohydrates utilization for PHB production in LFM828. In contrast, higher rates of ammonia consumption and CO(2) production in LFM828 indicate altered fluxes through the central metabolism in LFM828 and the parental. In conclusion, PTS plays an important role in cell physiology and the elimination of its components has a significant impact on catabolite repression, carbon flux distribution, and PHB biosynthesis in B. sacchari.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The introduction of nitrogen fixing species (NFS) in fast-growing tree plantations is an alternative option to reduce fertilizer inputs. However, the success of mixed-species plantations depends on the balance between positive interactions among species (resulting from facilitation and/or complementarity) and the negative effects of interspecific competition.Using a carbon budget approach and coupling measurements of standing biomass, aboveground litterfall and soil CO2 efflux, we assessed the influence of replacing half of eucalypt trees by Acacia mangium on total belowground carbon flux (TBCF), net primary production (NPP) and its partitioning between above- and belowground growth at two tropical sites in Brazil (Itatinga) and in Congo (Kissoko) exhibiting contrasting climates, edaphic conditions and wood productions.Annual soil CO2 efflux (FS) was significantly lower in the acacia monocultures than in eucalypt monocultures and mixed-species stands at both sites. Annual FS was significantly lower at Itatinga compared to Kissoko for all stands while TBCF was significantly lower in the eucalypt stands only. In the eucalypt monocultures we found a significantly lower aboveground NPP (ANPP) and wood production (wood NPP) at Kissoko compared to Itatinga that was almost fully balanced by a significantly higher belowground NPP (BNPP), leading to similar NPP. Similarly, acacia monocultures exhibited significantly higher ANPP and wood NPP at Itatinga than at Kissoko. The mixed-species stands exhibited a significantly lower wood NPP and ANPP than the eucalypt monocultures at the Brazilian site while NPP of the mixture was not significantly different than the average NPP of the two monocultures. At the Congolese site, NPP of the mixture was significantly higher than the average NPP of the two monocultures. NPP was similar in the mixed-species stand and the eucalypt monoculture with a significantly lower partitioning of NPP to belowground production, leading to a one third higher wood biomass at harvest in the mixed-species stand.A positive effect of growing eucalypts with the nitrogen fixing acacia trees on stand wood production occurred at Kissoko but not at Itatinga. Mixed-species plantations with NFS can be advocated at sites where the productive gains resulting from nitrogen fixation are not compromised by other resource limitations. © 2012 Elsevier B.V.

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Sistemas agroflorestais (SAFs) consistem em importante prática agrícola de uso da terra voltada a produção e a prestação de serviços ambientais. O objetivo deste trabalho consistiu em realizar um estudo do estoque e ciclagem de carbono de 4 sistemas agroflorestais (SAFs) com idades e composições diferentes, além de uma vegetação secundária (capoeira), no município de Tomé-Açu, na região nordeste do Estado do Pará, Amazônia Oriental. Foram medidos os estoques de carbono no solo, na serrapilheira e na biomassa da parte aérea. O fluxo de carbono foi medido na deposição de material formador de serrapilheira e incremento da biomassa aérea no período de um ano, entre outubro de 2008 e setembro de 2009. Os SAFs foram divididos em quatro categorias, denominados SAF 1, SAF 2, SAF 3 e SAF 4, sendo (SAF 1: cacau, açaí, bananeira e seringueira, 14 anos de idade, SAF 2: cacau, açaí, bananeira, seringueira, taperebá, paricá e macacaúba, 14 anos de idade, SAF 3: cupuaçu, açaí, teca e mogno, 9 anos de idade, SAF 4:cupuaçu, açaí e paricá, 9 anos de idade). Em cada sistema, foram instaladas 4 parcelas amostrais, onde foram coletados os dados de diâmetro a altura do peito (DAP) e altura (h), usados posteriormente para estimar a biomassa da parte aérea. Dentro das parcelas foram instalados coletores para medir a deposição de material formador de serrapilheira e realizadas coletas de solo e serrapilheira utilizadas na estimativa dos estoques de carbono. Não houve diferença significativa entre os SAFs analisados para a variável estoque de carbono no solo, assim como não houve diferença no estoque de carbono na biomassa da parte aérea. O SAF 4 teve a maior deposição de serrapilheira anual entre todos os tratamentos. Os SAFs não diferiram da capoeira quanto ao estoque de carbono no solo e serrapilheira. A produtividade primária líquida atingiu 2,54, 6,11, 9,54 e 16,27 Mg C ha-1 ano-1 nos SAFs 1, 2, 3 e 4, respectivamente. A idade dos SAFs não teve efeito significativo na quantidade de carbono acumulada no período de um ano.