东北林区净初级生产力及大兴安岭地区林火干扰影响的模拟研究

森林净初级生产力(NPP)是衡量陆地碳源/汇的重要参数, 准确地估算森林生态系统的NPP, 同时通过引入干扰因子以期更加完整地描述生态学过程及其响应是目前森林生态系统碳循环研究的重点。因此, 该研究基于北方生态系统生产力(BEPS)模型, 结合遥感数据和气象数据等模拟2003年东北林区NPP; 将BEPS模型模拟的结果作为整合陆地生态系统碳收支(InTEC)模型的参考年数据, 模拟东北林区1901-2008年的NPP, 并在InTEC模型中加入林火干扰数据, 模拟大兴安岭地区1966-2008年的森林NPP。结果显示: 在1901年, 东北林区NPP平均值仅为278.8 g C·m^-2·a^-1, 到了1950年, NPP平均值增加到338.5 g C·m^-2·a^-1, 2008年NPP平均值进一步增加到378.4 g C·m^-2·a^-1。其中长白山地区的NPP平均值始终最高, 大兴安岭次之, 小兴安岭始终最低。到了2008年, 大、小兴安岭和长白山地区的NPP平均值都有较大涨幅, 其中涨幅最高的是长白山地区, 达到200-300 g C·m^-2·a^-1; 东北三省中, 黑龙江和吉林的NPP平均值和总量都比较高, 辽宁相对较低, 但相比于1901年的涨幅最高, 达到70%; 重大火灾(100-1000 hm²)对NPP的影响不是很大, 而特大火灾(>1000 hm²)的影响比较大, 使NPP下降幅度达到10%左右, 其他火灾年份, NPP增长迅速并保持在较高水平; 对火灾面积在100000 hm²以上的4个年份的NPP进行分析, 发现NPP平均值都大幅度下降, 其中1987年下降幅度最大, 为11%以上。     

北京东灵山3种温带森林土壤呼吸及其20年的变化

土壤呼吸是陆地生态系统最主要的碳释放过程。为了探讨温带森林土壤呼吸在长时间尺度的变化, 利用北京东灵山地区的白桦(Betula platyphylla)林、辽东栎(Quercus wutaishanica)林和油松(Pinus tabuliformis)林3种温带森林永久样地, 于2012-2015年对其土壤呼吸进行测定, 并与1994-1995年的测定结果进行了比较。结果显示: 2012-2015年, 白桦林的平均年土壤呼吸量为(574 ± 21) g C·m^-2·a^-1, 显著高于辽东栎林(455 ± 31) g C·m^-2·a^-1和油松林(414 ± 35) g C·m^-2·a^-1, 比20年前(1994-1995年)的估测值分别增加了85%、17%和73%。这些结果表明, 近20年来这3种生态系统的碳周转速率明显加快。     

氮素添加对内蒙古草甸草原生态系统CO2交换的影响

氮沉降增加将影响草原生态系统固碳, 但如何影响草原生态系统CO₂交换目前为止还没有定论。同时, 不同类型和剂量氮素对生态系统CO₂交换影响的差异也不明确。选取内蒙古额尔古纳草甸草原, 开展了不同类型氮肥和不同剂量氮素添加条件下生态系统CO₂交换的野外测定。实验设置尿素和缓释尿素2种类型氮肥各5个剂量水平(0、5.0、10.0、20.0和50.0 g N·m^-2·a^-1)。结果显示, 生长季初期及中期降雨量低时, 氮素添加抑制生态系统CO₂交换; 而生长季末期降雨量较高时促进生态系统CO₂交换。随着氮素添加水平的提高, NEE和GEP均显著增加, 当氮素添加量达到10 g N·m^-2·a^-1时, NEE和GEP的响应趋于饱和。2种氮肥(尿素和缓释尿素)仅在施氮量为5 g N·m^-2·a^-1时, 缓释尿素对生态系统CO₂交换的促进作用显著大于尿素, 在其它添加剂量时差异不显著。研究结果表明: 氮素是该草甸草原生态系统的重要限制因子, 但氮沉降增加对生态系统CO₂交换的影响强烈地受降雨量与降雨季节分配的限制, 不同氮肥(尿素和缓释尿素)对生态系统CO₂交换作用存在差异。     

不同施氮水平对冬小麦生长期土壤呼吸的影响

在目前全球氮沉降不断增加的背景下, 研究农田土壤呼吸对氮沉降的响应有助于理解未来生态系统碳循环对全球变暖的潜在影响。为探讨不同施氮浓度对华东地区冬小麦(Triticum aestivum)生长期土壤呼吸的影响, 该实验设计了对照组(不施加氮肥)和3种浓度施氮处理组(低浓度施氮15 g·m^-2·a^-1, 中等浓度施氮30 g·m^-2·a^-1, 高浓度施氮45 g·m^-2·a^-1)。使用便携式土壤CO₂通量观测仪LI-8100测定不同施氮浓度处理下冬小麦生长期(2013年12月至2014年5月)的土壤呼吸速率, 并探讨土壤呼吸与土壤温度、湿度等环境因素的关系。结果表明: 低、中、高3种浓度施氮处理的土壤呼吸速率平均值分别为5.29、6.17和6.75 μmol·m^-2 ·s^-1, 与对照组(土壤呼吸速率平均值为4.90 μmol·m^-2·s^-1)相比, 分别增加了7.8%、23.6%和37.8%; 地上生物量分别增加39.9%、104.4%和200.2%, 并与冬小麦生长季的总土壤呼吸正相关。5 cm深度土壤的温度与土壤呼吸速率呈指数关系(p < 0.05), 土壤呼吸季节变化的65%-75%由土壤温度引起, 其温度敏感性为2.09-2.32。结果表明, 添加氮肥促进了植物的生长, 增加了生物量, 从而增加了冬小麦农田的土壤呼吸速率。     

落叶松原始林树木生长对氮添加的响应

氮沉降对树木生长的影响是全球变化研究的一个核心问题。该文通过设置4种氮添加水平(对照(0)、低氮(20 kg N·hm^-2·a^-1)、中氮(50 kg N·hm^-2·a^-1)和高氮(100 kg N·hm^-2·a^-1)), 研究了模拟氮沉降对落叶松(Larix gmelinii)原始林树木胸径生长的影响。结果表明: 中氮和高氮添加对落叶松胸径相对生长率有显著影响, 而且这种影响随施氮年限的增加而增强。不同高度的树木对氮添加的响应有很大差异, 较低树木(树高<16.5 m)的生长对氮添加无显著响应, 而较高(树高>16.5 m)的树木在中氮和高氮处理下胸径生长有显著加速(胸径相对生长率增幅>79.5%), 但随着树木高度的进一步增加, 这种加速作用明显下降。研究结果显示氮添加会促进落叶松胸径生长, 这种促进作用主要发生在较高的落叶松个体中。     

大气CO2浓度升高和N沉降对南亚热带主要乡土树种叶片元素含量的影响

大气CO₂浓度升高和N沉降以及二者之间的耦合作用对陆地森林生态系统的影响是当前国际生态学界关注的热点之一。该实验运用大型开顶箱(open-top chamber, OTC)研究: 1)高CO₂浓度(700 μmol×mol^-1) +高N沉降(100 kg N×hm^-2×a^-1) (CN); 2)高CO₂浓度(700 μmol×mol^-1)和背景N沉降(CC); 3)高N沉降(100 kg N×hm^-2×a^-1)和背景CO₂浓度(NN); 4)背景CO₂和背景N沉降(CK) 4种处理对南亚热带主要乡土树种木荷(Schima superba)、红锥(Castanopsis hystrix)、肖蒲桃(Acmena acuminatissima)、红鳞蒲桃(Syzygium hancei)、海南红豆(Ormosia pinnata)叶片元素含量的影响。研究结果表明, 大气CO₂浓度升高对5种乡土树种叶片元素含量有较大的影响, 除海南红豆叶片的Ca含量外, 其他树种的叶片元素含量在高CO₂浓度处理下都显著升高(p < 0.05); 而在N沉降处理下, 5个树种的叶片K和Ca含量都降低。大气CO₂浓度升高与N沉降处理对5种乡土树种植物叶片元素含量影响的交互作用不是很明显, 仅仅木荷和红鳞蒲桃的叶片Ca和Mn以及海南红豆的叶片Mn含量在大气CO₂浓度上升和N沉降交互处理下显著下降, 而肖蒲桃的叶片P含量在大气CO₂浓度上升和N沉降交互处理下显著上升。     

不同氮添加量和添加方式对南亚热带4个主要树种幼苗生长的影响

为阐明南亚热带4个主要树种——海南红豆(Ormosia pinnata)、马占相思(Acacia mangium)、木荷(Schima superba)和马尾松(Pinus massoniana)幼苗生长对不同氮添加量和添加方式的响应差异, 进行了幼苗模拟氮添加实验。实验设置3个氮添加水平(对照: 背景大气氮沉降量5.6 g N·m^-2·a^-1, 中氮: 15.6 g N·m^-2·a^-1, 高氮: 20.6 g N·m^-2·a^-1), 每个水平分两种添加方式(幼苗冠层施氮和土壤表层施氮), 共6个处理: (1)土壤对照(S-CK); (2)土壤中氮(S-MN); (3)土壤高氮(S-HN); (4)冠层对照(C-CK); (5)冠层中氮(C-MN); (6)冠层高氮(C-HN), 每个处理设置6个重复。研究结果表明: 不同氮添加量下, 土壤施氮和冠层施氮对植物幼苗生长的影响不同, 氮添加量、氮添加方式和物种3个因子之间存在显著的交互效应。与对照相比, S-MN增加了马占相思和木荷幼苗的生物量, 降低了马尾松的株高和生物量, 而C-MN仅增加了马占相思的生物量, 对其他3个树种没有影响; S-HN增加了马占相思的生物量, 显著降低了马尾松的基径、株高和生物量(p < 0.01), C-HN增加了马占相思、木荷和马尾松的基径、株高和生物量(p < 0.01)。不同氮添加量和氮添加方式对幼苗生长的影响因物种而异, 所有氮处理下海南红豆和马占相思的生长均明显快于木荷和马尾松; 木荷和马尾松幼苗的生长在两种氮添加方式间差异显著, 冠层施氮比土壤施氮对其幼苗生长的促进作用更大。由此可见: 在氮沉降背景下, 阔叶豆科植物(海南红豆、马占相思)比阔叶非豆科植物(木荷)生长快; 阔叶树种(海南红豆、马占相思和木荷)比针叶树种(马尾松)生长快。在长期氮沉降环境下, 不同物种生长的差异响应有可能导致亚热带森林物种组成发生变化。     

华西雨屏区苦竹林土壤呼吸对模拟氮沉降的响应

2007年11月至2008年11月, 对华西雨屏区苦竹(Pleioblastus amarus)人工林进行了模拟氮沉降试验, 氮沉降水平分别为对照(CK, 0 g N·m^-2·a^-1)、低氮(5 g N·m^-2·a^-1)、中氮(15 g N·m^-2·a^-1)和高氮(30 g N·m^-2·a^-1)。每月下旬, 采用红外CO₂分析法测定土壤呼吸速率, 并定量地对各处理施氮(NH₄NO₃)。结果表明: 2008年试验地氮沉降量为8.241 g·m^-2, 超出该地区氮沉降临界负荷。在生长季节, 苦竹林根呼吸占总土壤呼吸的60%左右。模拟氮沉降促进了苦竹林土壤呼吸速率, 使苦竹林土壤每年向大气释放的CO₂增加了9.4%~28.6%。在大时间尺度上(如1 a), 土壤呼吸主要受温度的影响。2008年6~10月, 土壤呼吸速率24 h平均值均表现为: 对照<低氮<中氮<高氮。氮沉降处理1 a后, 土壤微生物呼吸速率和土壤微生物生物量碳、氮增加, 并且均与氮沉降量具有相同趋势。各处理土壤呼吸速率与10 cm土壤温度、月平均气温呈极显著指数正相关关系, 利用温度单因素模型可以解释土壤呼吸速率的大部分。模拟氮沉降使得土壤呼吸Q₁₀值增大, 表明氮沉降可能增强了土壤呼吸的温度敏感性。在氮沉降持续增加和全球气候变暖的背景下, 氮沉降和温度的共同作用可能使得苦竹林向大气中排放的CO₂增加。     

氮添加对山西太岳山天然油松林主要植物叶片性状的影响

为探讨植物性状对大气氮沉降的响应与适应机制, 该文以中国特有的、在北方温性针叶林中广泛分布的天然油松(Pinus tabuliformis)林为研究对象, 在2009-2013年开展了氮添加对植物叶片性状影响的野外控制试验, 4个氮添加浓度分别为0 kg·hm^-2·a^-1 (CK)、50 kg·hm^-2·a^-1 (低氮)、100 kg·hm^-2·a^-1 (中氮)和150 kg·hm^-2·a^-1 (高氮)。试验过程中分别测定了油松、蒙古栎(Quercus mongolica)、茶条槭(Acer ginnala)、毛榛(Corylus mandshurica)、沙梾(Cornus bretschneideri)、绣线菊(Spiraea salicifolia)、金银忍冬(Lonicera maackii)、羊须草(Carex callitrichos)、龙常草(Diarrhena mandshurica)、大火草(Anemone tomentosa)和玉竹(Polygonatum odoratum)等11种主要植物的9种叶片性状, 包括叶厚度(LT)、比叶面积(SLA)、干物质含量(LDMC)、叶氮含量(LNC)、叶磷含量(LPC)等。结果表明: 1)在氮添加影响下, 玉竹等个别物种的LT和SLA、绣线菊等部分物种的叶面积(LA)和LDMC差异显著, 上述所有物种的LNC与大多数物种的叶绿素含量(CC)、LPC显著增加, 油松等9种植物叶片N:P发生显著变化, 不同年龄、不同类型的植物叶片对氮添加的响应不同。2)叶性状之间普遍存在显著相关性, 如SLA与LNC和LPC极显著正相关, LT与LNC和LPC极显著负相关, 且相关性随氮添加强度变化。3) 11种植物的叶片特征空间分布规律与叶经济谱的描述一致, 氮添加使植物在特征空间中的位置向叶片薄、生长快、叶寿命短的“快速投资-收益型”一端发生移动; 在垂直方向上, 阔叶乔木、灌木及草本的位置与针叶乔木的移动方向相反。当环境改变时, 植物会改变生存策略, 调整资源分配, 从而保证物种间相对位置和群落整体结构的稳定性。叶经济谱的形成不依赖于环境的变化, 而是植物一种固有的属性。     

氮添加促进丛枝菌根真菌和根系协作维持土壤磷有效性

磷是亚热带地区植物生长的主要限制营养元素, 而氮沉降量的增加会降低土壤磷的有效性。该研究以微生物和植物细根为重点探究土壤磷转化, 揭示氮沉降背景下低磷有效性土壤的磷供应及生产力维持。通过在福州长安山模拟氮沉降实验, 设置对照(0 kg·hm^-2·a^-1)、低氮(40 kg·hm^-2·a^-1)和高氮(80 kg·hm^-2·a^-1) 3个处理, 收集杉木(Cunninghamia lanceolata)幼苗的土壤和根系样本, 综合分析土壤磷组分和养分含量、土壤微生物特征和植物根系特征。结果显示, 与对照处理相比, 低氮处理显著增加土壤易分解态有机磷、中等易分解态无机磷和闭蓄态磷含量, 但是显著降低原生矿物态磷和中等易分解态有机磷含量; 而高氮处理对土壤磷组分无显著影响。冗余分析表明, 土壤酸性磷酸酶活性、丛枝菌根真菌的相对丰度、土壤微生物生物量磷含量和根系生物量是解释土壤磷组分变化的重要微生物和植物因子。方差分解分析发现植物根系特征-土壤微生物特征共同解释了土壤磷组分变化的57%, 并且通过相关分析发现丛枝菌根真菌的相对丰度和根系生物量呈显著正相关关系。综上所述, 低水平的氮输入促进土壤丛枝菌根真菌的定殖, 丛枝菌根真菌和杉木根系通过协作促进中等易分解态有机磷和原生矿物态磷向易分解态磷的转换, 维持了杉木幼苗的生长。     

Forest net primary productivity dynamics and driving forces in Jiangxi Province,China

Aims Subtropical forest ecosystem has great carbon sequestration capacity. Net primary productivity (NPP) plays a critical role in forest carbon cycle and is affected by a number of factors, including climate change, atmospheric composition, forest disturbance intensity and frequency, and forest age, etc. However, the contribution of these factors to the temporal-spatial dynamics of NPP is still not clear. Quantifying the main driving forces on the temporal-spatial dynamics of NPP for subtropical forest ecosystems is a critical foundation for understanding their carbon cycle.
Methods We utilized multi-sources dataset, including observed meteorological data, inversed annual maximum leaf area index (LAI), referenced NPP (simulated by Boreal Ecosystem Productivity Simulator (BEPS) model), forest age and forest types, land cover, digital elevation model (DEM), soil texture, CO₂ concentration and nitrogen deposition. We used the InTEC (integrated terrestrial ecosystem carbon-budget) model to simulate the NPP dynamics for forest ecosystems in Jiangxi Province during the period of 1901-2010. The effects of climate change, forest age, CO₂ concentration and nitrogen (N) deposition on forest NPP from 1970 to 2010 were discussed through designed scenarios.
Important findings (1) Validations by flux measurements and forest inventory data indicated that the InTEC model was able to capture the interannual and spatial variations of forest NPP. (2) The average forest NPP was 47.7 Tg C·a^-1 (± 4.2 Tg C·a^-1) during 1901-2010. The NPP in the 1970s, 1980s, 1990s and 2000s was 50.7, 48.8, 45.4, and 55.2 Tg C·a^-1, respectively. As forest regrows, NPP significantly increased for forests in Jiangxi Province in the 2000s, and exceed that in the 1970s for more than 60% of the forest area. (3) During 1970-2010, under the scenarios of disturbance and non-disturbance, the forest NPP were underestimated by 7.3 Tg C·a^-1 (14.5%) and overestimated by 3.6 Tg C·a^-1 (7.1%) compared to the scenarios of all disturbance and non-disturbance factors, respectively. Compared to the average NPP during 1970-2010, climate change decreased NPP by -2.0 Tg C·a^-1 (-4.7%), N deposition increased NPP by 4.5 Tg C·a^-1 (10.4%), CO₂ concentration change, and the integrated fertilization of CO₂ and N deposition increased NPP by 4.4 Tg C·a^-1 (10.3%) and 9.4 Tg C·a^-1 (21.8%), respectively.     

北亚热带地带性森林土壤温室气体通量对土地利用方式改变和降水减少的响应

弄清土地利用和降水变化对林地土壤主要温室气体(CO₂、CH₄和N₂O)排放通量变化的影响, 是准确评估森林土壤温室气体排放能力的重要基础。该研究以常绿落叶阔叶混交林原始林、桦木(Betula luminifera)次生林和马尾松(Pinus massoniana)人工林为对象, 采用静态箱-气相色谱法研究了3种土地利用方式(常绿落叶阔叶混交林原始林、桦木次生林和马尾松人工林)和降水减少处理状况下森林土壤CO₂、CH₄和N₂O通量排放特征, 并探讨了其环境驱动机制。研究结果表明: 原始林土壤CH₄吸收通量显著高于次生林和人工林, 次生林CH₄吸收通量显著高于人工林土壤。人工林土壤CO₂排放通量显著高于原始林和次生林土壤。次生林土壤N₂O排放通量高于原始林和人工林, 但三者间差异不显著。降水减半显著抑制了3种不同土地利用方式下林地土壤CH₄吸收通量; 降水减半处理对原始林和次生林土壤CO₂排放通量均具有显著的促进作用, 而对人工林土壤CO₂排放通量具有显著的抑制作用; 降水减半处理促进了原始林和人工林林地土壤N₂O排放而抑制了次生林林地土壤N₂O排放。原始林和次生林林地土壤CH₄吸收通量随土壤温度升高显著增加, CH₄吸收通量与土壤温度均呈显著相关关系; 原始林、次生林和人工林土壤CO₂和N₂O排放通量与土壤温度均呈显著正相关关系; 土壤湿度抑制了次生林和人工林土壤CH₄吸收通量, 其CH₄吸收通量随土壤湿度增加显著减少; 原始林土壤CO₂排放通量与土壤湿度呈显著正相关关系。自然状态下, 原始林土壤N₂O排放通量与土壤湿度呈显著正相关关系, 原始林和次生林土壤N₂O排放通量与硝态氮含量呈显著相关关系。研究结果表明全球气候变化(如降水变化)和土地利用方式的转变将对北亚热带森林林地土壤温室气体排放通量产生显著的影响。     

Greenhouse gas fluxes of typical northern subtropical forest soils: Impacts of land use change and reduced precipitation

Aims It is important to study the effects of land use change and reduced precipitation on greenhouse gas fluxes (CO₂, CH₄ and N₂O) of forest soils. Methods The fluxes of CO₂, CH₄ and N₂O and their responses to environmental factors of primary forest soil, secondary forest soil and artificial forest soil under a reduced precipitation regime were explored using the static chamber and gas chromatography methods during the period from January to December in 2014. Important findings Results indicate that CH₄ uptake of primary forest soil ((-44.43 ± 8.73) μg C·m^-2·h^-1) was significantly higher than that of the secondary forest soil ((-21.64 ± 4.86) μg C·m^-2·h^-1) and the artificial forest soil ((-10.52 ± 2.11) μg C·m^-2·h^-1). CH₄ uptake of the secondary forest soil ((-21.64 ± 4.86) μg C·m^-2·h^-1) was significantly higher than that of the artificial forest ((-10.52 ± 2.11) μg C·m^-2·h^-1). CO₂ emissions of the artificial forest soil ((106.53 ± 19.33) μg C·m^-2·h^-1) were significantly higher than that of the primary forest soil ((49.50 ± 8.16) μg C·m^-2·h^-1) and the secondary forest soil ((63.50 ± 5.35) μg C·m^-2·h^-1) (p < 0.01). N₂O emissions of the secondary forest soil ((1.91 ± 1.22) μg N·m^-2·h^-1) were higher than that of the primary forest soil ((1.40 ± 0.28) μg N·m^-2·h^-1) and the artificial forest soil ((1.01 ± 0.86) μg N·m^-2·h^-1). Reduced precipitation (-50%) had a significant inhibitory effect on CH₄ uptake of the artificial forest soil, while it enhanced CO₂ emissions of the primary forest soil and the secondary forest soil. Reduced precipitation had a significant inhibitory effect on CO₂ emissions of the artificial forest soil and N₂O emissions of the secondary forest (p < 0.01). Reduced precipitation promotes N₂O emissions of the primary forest soil and the artificial forest soil. CH₄ uptake of the primary forest and the secondary forest soil increased significantly with the increase of soil temperature under natural and reduced precipitation. CO₂ and N₂O emission fluxes of the primary forest soil, secondary forest soil and artificial forest soil were positively correlated with soil temperature (p < 0.05). Soil moisture inhibited CH₄ uptake of the secondary forest soil and the artificial forest soil (p < 0.05). CO₂ emissions of the primary forest soil were significantly positively correlated with soil moisture (p < 0.05). N₂O emissions of primary forest soil and secondary forest soil were significantly correlated with the nitrate nitrogen content (p < 0.05). It was implied that reduced precipitation and land use change would have significant effects on greenhouse gas emissions of subtropical forest soils.     

黑河上游植被总初级生产力遥感估算及其对气候变化的响应

定量描述植被总初级生产力(GPP)对于全球碳循环和全球气候变化研究具有重要意义。针对MODIS MOD_17 GPP (MOD_17)产品在通量站点低估的现象, 通过3个实验依次改进了模型输入参数(气象数据和吸收的光合有效辐射吸收比例(fPAR))和模型本身的参数(最大光能利用率), 分析了各个参数对模拟结果的不确定性影响, 结果表明各参数对模拟结果都有不同程度的影响。在阿柔草地站, 最大光能利用率的重新标定对结果影响最大, GPP估算结果的提高最为明显; 在关滩森林站利用广义神经网络算法得到的GLASS fPAR代替原始MODIS fPAR产品, 比其他参数的改进效果更明显, GPP的值更接近涡动通量观测值。利用改进的MOD_17模型重新估算了黑河上游2001-2012年间植被GPP, 通过趋势分析得出该研究时段内GPP以9.58 g C·m^-2·a^-1的平均速率呈上升趋势。同时计算了气候因子(温度、降水和饱和水汽压差(VPD))与时间序列GPP的偏相关性, 分析了植被GPP对气候变化的响应情况, 2001-2012年平均温度和VPD与年GPP大部分区域呈正相关, 体现了温度和VPD对植被生长的促进作用; 2001-2012年的降水量与年GPP无明显相关, 且大部分区域呈负相关。     

甘肃省森林碳储量现状与固碳速率

针对森林碳平衡再评估的重要性和区域尺度森林生态系统碳库量化分配的不确定性, 该研究依据全国森林资源连续清查结果中甘肃省各森林类型分布的面积与蓄积比重以及林龄和起源等要素, 在甘肃省布设212个样地, 经野外调查与采样、室内分析, 并对典型样地信息按照面积权重进行尺度扩展, 估算了甘肃省森林生态系统碳储量及其分布特征。结果表明: 甘肃省森林生态系统总碳储量为612.43 Tg C, 其中植被生物量碳为179.04 Tg C, 土壤碳为433.39 Tg C。天然林是甘肃省碳储量的主要贡献者, 其值为501.42 Tg C, 是人工林的4.52倍。天然林和人工林的植被碳密度均表现为随林龄的增加而增加的趋势, 同一龄组天然林植被碳密度高于人工林。天然林土壤碳密度从幼龄林到过熟林逐渐增加, 但人工林土壤碳密度最大值主要为近熟林。全省森林植被碳密度均值为72.43 Mg C·hm^-2, 天然林和人工林分别为90.52和33.79 Mg C·hm^-2。基于森林清查资料和标准样地实测数据, 估算出全省天然林和人工林在1996年的植被碳储量为132.47和12.81 Tg C, 2011年分别为152.41和26.63 Tg C, 平均固碳速率分别为1.33和0.92 Tg C·a^-1。甘肃省幼、中龄林面积比重较大, 占全省的62.28%, 根据碳密度随林龄的动态变化特征, 预测这些低龄林将发挥巨大的碳汇潜力。     

Remote sensing estimation of gross primary productivity and its response to climate change in the upstream of Heihe River Basin

AimsQuantifying the gross primary productivity (GPP) of vegetation is of primary interest in studies of global carbon cycle. This study aims to optimize the MODIS GPP model for specific environments of a fragile waterhead ecosystem, by performing simulations of long-term (from 2001 to 2012) GPP with optimized MOD_17 model, and to analyze the response of GPP to the local climatic variations.Methods The original MODIS GPP products that underestimate GPP were validated against two years (2010-2011) of eddy covariance (EC) data at two sites (i.e. an alpine pasture site and a forest site, respectively) in the upstream of Heihe River Basin. Three comparative experiments were then conducted to analyze the effects of input parameters derived from three sources (i.e. meteorological, biome-specific, and fraction of absorbed photosynthetically active radiation (fPAR) parameters) on the model behavior. After refining the model-driven parameters, long-term GPPs of the study area were estimated using the optimized MOD_17 model, and the Least Absolute Deviation method was applied to analyze the partial correlations between interannual GPPs and climatic variables (temperature, precipitation and vapor pressure deficit (VPD)). Important findings The uncertainties in the original MODIS GPP products are attributable to biome-specific parameters, input data (e.g. meteorological and radiometry data) and vegetation maps. At the pasture site, the light use efficiency had the strongest impact on the GPP simulations. The refined fPAR calculated from the leaf area index (LAI) products of Global Land Surface Satellite (GLASS) greatly improved the GPP estimates, especially at the forest site. The GPPs from the optimized MOD_17 model well matched the EC data (R² = 0.90, root mean squared error (RMSE) = 1.114 g C·m^-2·d^-1 at the alpine pasture site; R² = 0.91, RMSE = 0.649 g C·m^-2·d^-1 at the forest site). The time series of GPPs displayed an up trend at an average rate of 9.58 g C·m^-2·a^-1 from 2001 to 2012. Examination of the partial correlations between interannual GPPs and climatic variables showed that the annual mean temperature and VPD generally had significant positive impacts on GPP, and the annual precipitation had a negative impact on GPP.     

Temporal and spatial variation characteristics of China shrubland net primary production and its response to climate change from 2001 to 2013

Aims Net primary production (NPP) is the input to terrestrial ecosystem carbon pool. Climate and land use change affect NPP significantly. Shrublands occupy more than 20% of the terrestrial area of China, and their NPP is comparable to those of the forests. Our objective was to estimate China shrubland NPP from 2001 to 2013, and to analyze its variation and response to climate change.Methods We used a Carnegie-Ames-Stanford Approach (CASA) model to estimate the NPP of six shrubland types in China from 2001 to 2013. Furthermore, we used Theil-Sen slope combined with Mann-kendall test to analyze its spatial variation and a linear regression of one-variable model to analyze its inter- and intra-annual variation. Finally, a multi-factor linear regression model was used to analyze its response to climate change.Important findings We found the annual mean NPP of China shrubland was 281.82 g•m^-2•a^-1. The subtropical evergreen shrubland has the maximum NPP of 420.47 g•m^-2•a^-1, while the high cold desert shrubland has the minimum NPP of 52.65 g•m^-2•a^-1. The countrywide shrublands NPP increased at the rate of 1.23 g•m^-2•a^-1, the relative change rate was 5.99%. The temperate deciduous shrubland NPP increased the fastest with a speed of 3.05 g•m^-2•a^-1 and subalpine evergreen shrubland had a decreasing trend with a speed of -0.73 g•m^-2•a^-1. Moreover, the other four shrublands NPP had a growing trend, only subalpine deciduous shrubland NPP did not change significantly. The response of NPP to climate change of different seasons varies to different shrubland types. In general, the NPP variation was mainly affected by precipitation, and the spring warming also contributed to it. The increase of countrywide shrubland NPP may promote its contribution to the regional ecosystem function.     

Current stocks and rate of sequestration of forest carbon in Gansu Province,China

Aims
Carbon sequestration is the basic function and most primary service of forest ecosystems, and plays a vital role in mitigating the global climate change. However, carbon storage and allocation in forest ecosystems have been less studied at regional scales than at forest stand levels, and the results are subject to uncertainty due to inconsistent methodologies. In this study we aim to obtain relatively accurate estimates of forest carbon stocks and sequestration rate at a provincial scale (regional) based on plot surveys of plants and soils.
Methods
In consideration of the areas and distributions of major forest types, 212 sampling plots, covering different age classes and origins (natural forests vs. planted forests), were surveyed in Gansu Province in northern China. Field investigations were conducted for vegetation layers (trees, shrubs, herbs and litter), soil profiles, and sampling of both plant materials and soils for laboratory analyses. Regional carbon stocks were calculated by up-scaling the carbon densities of all forest types with their corresponding areas. Carbon sequestration rate was estimated by referencing the reports of national forest inventory data for different periods.
Important findings Forest carbon stocks at the provincial scale were estimated at 612.43 Tg C, including 179.04 Tg C in biomass and 433.39 Tg C in soil organic materials. Specifically, natural forests stored 501.42 Tg C, approximately 4.52 times than that of the plantations. Biomass carbon density in both natural forests and plantations showed an increasing trend with stand age classes, and was greater in natural forests than in plantations within the same age classes. Soil carbon density also increased with stand age classes in natural forests, but the highest value occurred at the pre-mature stage in plantations. The weighted average of regional biomass carbon density was at 72.43 Mg C·hm^-2, with the average value of 90.52 Mg C·hm^-2 in natural forests and 33.79 Mg C·hm^-2 in plantations, respectively. In 1996, vegetation stored 132.47 Tg C in natural forests and 12.81 Tg C in plantations, respectively, and the values increased to 152.41 and 26.63 Tg C in 2011, with the mean carbon sequestration rates of 1.33 and 0.92 Tg C·a^-1. Given that young and middle-aged forests account for a large proportion (62.28%) of the total forest areas, the region is expected to have substantial potential of carbon sequestration.     

Short-term nitrogen fertilization decreased root and microbial respiration in a young Cunninghamia lanceolata plantation

Aims As the primary pathway for CO₂ emission from terrestrial ecosystems to the atmosphere, soil respiration is estimated to be 80 Pg C·a^-1 to 100 Pg C·a^-1, equivalent to 10 fold of fossil fuel emissions. As an important management practice in plantation forests, fertilization does not only increase primary production but also affects soil respiration. To investigate how nitrogen (N) fertilization affects total soil, root and microbial respiration, a N fertilization experiment was conducted in a five-year-old Cunninghamia lanceolata plantation in Huitong, Hunan Province, located in the subtropical region. MethodsOne year after fertilization, soil respiration was monitored monthly by LI-8100 from July 2013 to June 2014. Soil temperature and water content (0-5 cm soil depth) were also measured simultaneously. Available soil nutrients, fine root biomass and microbial communities were analyzed in June 2013. Important findings Total soil, root and microbial respiration rates were 22.7%, 19.6%, and 23.5% lower in the fertilized plots than in the unfertilized plots, respectively. The temperature sensitivity (Q₁₀) of soil respiration ranged from 1.81 to 2.04, and the Q₁₀ value of microbial respiration decreased from 2.04 in the unfertilized plots to 1.84 in the fertilized plots. However, neither the Q₁₀ value nor the patterns of total soil respiration were affected by N fertilization. In the two-factor model, soil temperature and moisture accounted for 69.9%-79.7% of the seasonal variations in soil respiration. These results suggest that N fertilization reduces the response of soil organic carbon decomposition to temperature change and may contribute to the increase of soil carbon storage under global warming in subtropical plantations.     

Carbon storage and potentials of the broad-leaved forest in alpine region of the Qinghai- Xizang Plateau,China

Aims
Our objective was to explore the vegetation carbon storages and their variations in the broad-leaved forests in the alpine region of the Qinghai-Xizang Plateau that includes Qinghai Province and Xizang Autonomous Region.
Methods
Based on forest resource inventory data and field sampling, this paper studied the carbon storage, its sequestration rate, and the potentials in the broad-leaved forests in the alpine region of the Qinghai-Xizang Plateau.
Important findings
The vegetation carbon storage in the broad-leaved forest accounted for 310.70 Tg in 2011, with the highest value in the broad-leaved mixed forest and the lowest in Populus forest among the six broad-leaved forests that include Quercus, Betula, Populus, other hard broad-leaved species, other soft broad-leaved species, and the broadleaved mixed forest. The carbon density of the broad-leaved forest was 89.04 Mg·hm^-2, with the highest value in other hard broad-leaved species forest and the lowest in other soft broad-leaved species forest. The carbon storage and carbon density in different layers of the forests followed a sequence of overstory layer > understory layer > litter layer > grass layer > dead wood layer, which all increased with forest age. In addition, the carbon storage of broad-leaved forest increased from 304.26 Tg in 2001 to 310.70 Tg in 2011. The mean annual carbon sequestration and its rate were 0.64 Tg·a^-1 and 0.19 Mg·hm^-2·a^-1, respectively. The maximum and minimum of the carbon sequestration rate were respectively found in other soft broad-leaved species forest and other hard broad-leaved species forest, with the highest value in the mature forest and the lowest in the young forest. Moreover, the carbon sequestration potential in the tree layer of broad-leaved forest reached 19.09 Mg·hm^-2 in 2011, with the highest value found in Quercus forest and the lowest in Betula forest. The carbon storage increased gradually during three inventory periods, indicating that the broad-leaved forest was well protected to maintain a healthy growth by the forest protection project of Qinghai Province and Xizang Autonomous Region.