1981～2000年陕西省植被净初级生产力时空变化

为阐明陕西省植被净初级生产力(NPP)变化的整体状况,应用以遥感观测数据驱动的GLO-PEM模式模拟估计的NPP数据,对陕西省1981~2000年间的地表植被净初级生产力的空间分布及时间序列变化进行了综合分析.研究结果表明:(1)20年来,陕西省年NPP变化范围为687~858 g/(m2?a),平均值为749 g/(m2?a);(2)陕西省年平均NPP在波动中缓慢上升,NPP年增长幅度为3.248 2 g/(m2?a);(3)陕西省年平均NPP分布总体呈现从南到北递减的趋势,长城沿线风沙区NPP在200~400 g/(m2?a)之间,是陕西省NPP最低的地区;关中中东部NPP较高,大部在800 g/(m2?a)以上,NPP在1 200 g/(m2?a)以上的面积约占1/3,是全省NPP的高值区;(4)陕西省NPP基本不变(NPP变化百分率在-10%~10%之间)的面积占54.7%,NPP变化百分率增加10%以上的面积占40.5%,NPP变化百分率降低10%以下的面积仅占4.8%;(5)占陕西省总面积的77.3%的区域NPP变化不显著(P>0.05),NPP增加极显著(P<0.01)的区域占8.3%,增加显著(P<0.05)的区域占13.8%,NPP降低显著(P<0.05)和降低极显著(P<0.01)占0.7%.     

基于GEE平台的黄河流域森林植被净初级生产力时空变化特征

黄河流域是我国重要的生态屏障,研究黄河流域森林植被净初级生产力(Net Primary Productivity,NPP)的时空变化特征及驱动机制,对解释黄河流域森林碳汇/源变化具有重要意义。基于Google Earth Engine (GEE)云平台,利用MOD17A3H V6 NPP数据、MCD12Q1 V6土地覆盖类型数据、ECMWF/ERA5气象数据和USGS/SRTMGL1_003高程数据,采用岭回归分析、Hurst指数和冗余分析(Redundancy Analysis,RDA)对黄河流域2001-2019年森林NPP的时空变化特征及影响因子进行分析。结果表明:(1)2001-2019年,黄河流域森林平均总面积为3.66万km²,其中阔叶林、针叶林、混交林平均面积分别为:2.64万km²、0.01万km²和1.01万km²,森林NPP年总量呈线性增加趋势,其均值为8.99Tg C,年均增速为0.36Tg C/a,19a增长率为173.60%;不同森林类型的NPP年总量均值分别为:4.79Tg C (阔叶林)、6.04×10^-5Tg C (针叶林)和0.64Tg C (混交林),年均增速为:阔叶林(0.16Tg C/a)>混交林(0.04Tg C/a)>针叶林(6.98×10^-6Tg C/a)。(2)2001-2019年,黄河流域森林年均NPP呈线性增加趋势,其均值为241.58g C m^-2 a^-1,年均增速为7.18g C m^-2 a^-1,19a增长率为108.63%;不同森林类型的年均NPP均值分别为:178.48g C m^-2 a^-1(阔叶林)、0.60g C m^-2 a^-1(针叶林)和62.49g C m^-2 a^-1(混交林),年均增速为:阔叶林(4.75g C m^-2 a^-1)>混交林(2.39g C m^-2 a^-1)>针叶林(0.04g C m^-2 a^-1)。(3)黄河流域森林NPP呈增加趋势的面积占94.50%,其中显著增加的面积占73.29%;呈减少趋势的面积占5.50%,其中显著减少的面积占1.57%。阔叶林NPP显著增加的面积最高(76.78%),其次为混交林(60.84%),针叶林最少(56.76%)。(4)黄河流域森林NPP的Hurst指数(H)介于0.38-1.00之间,平均值为0.87,其中H≥0.5的像元数约占99.34%,黄河流域森林NPP在未来一段时间内仍保持持续增加趋势。(5)归因分析表明环境因子对黄河流域森林NPP时空变化的总解释率为55.80%,显著影响的环境因子为经度(35.50%)、降水(8.00%)、气温(6.50%)和纬度(5.40%)。2001-2019年黄河流域森林NPP呈增加趋势,且呈现较强的可持续性;GEE云平台结合冗余分析可及时、高效获取黄河流域森林NPP的时空变化并对其进行归因分析。     

江西省植被净初级生产力的空间格局及其对气候因素的响应

应用遥感-过程耦合模型(GLOPEM-CEVSA),模拟了2000-2006年江西省陆地植被净初级生产力(NPP),分析了其空间格局及其对气候因子的响应.本模型模拟数据与样点实测数据间呈显著的线性相关,复相关系数为0.85 (P＜0.001).在全省主要植被类型中,常绿针叶林的NPP最高(1091.38 g C·m-2·a-1),其次是常绿阔叶林(846.09gC ·m-2·a-1)、灌丛(596.62 gC.m-2.a-1)和草地(325.50gC ·m-2·a-1).不同气候梯度上的NPP分布状况分析表明,在降水低于1900 mm的地区,随降水量增加NPP略有增加但幅度较小且波动较为剧烈;在降水量为1900 ～ 1950 mm的地区,降水越多NPP也越高,且增加显著;但在降水高于1950 mm地区,NPP则随着降水的增加而降低.在气温低于17℃的区域,温度越高NPP也较高,而在温度高于17℃的区域,NPP则随温度增加而降低.进一步分析低(＜17.25℃)、均(17.25 ～18.55℃)、高(＞18.55℃)3个气温区内空间上NPP与降水的关系发现,低温区和均温区主要植被以常绿针叶林为主,NPP较高,而高温区则以农田和灌丛为主,NPP较低且波动较大.     

2000-2008年中国东北地区植被净初级生产力的模拟及季节变化

利用GLOPEM-CEVSA模型模拟并分析了中国东北地区2000-2008年植被净初级生产力(NPP)时空分布格局及其影响因素,并以4个森林生态站点(大兴安岭、老爷岭、凉水和长白山森林生态站)为例研究了东北地区森林NPP季节变化特征及其环境驱动.结果表明:2000-2008年,东北地区植被年均NPP为445 g C·m-2·a-1;整个研究区沿长白山山脉到小兴安岭山脉地区以及三江平原部分地区的NPP最高,沿长白山山脉到小兴安岭山脉西侧的辽河平原、松嫩平原东部、三江平原和大兴安岭地区次之,西部稀疏草原和荒漠地区的NPP最低.东北地区森林生态系统年均NPP最高,其次为灌丛、农田和草地,荒漠最低.森林生态系统中,针阔混交林年均NPP最大(722 g C·m-2·a-1),落叶针叶林年均NPP最小(451 g C·m-2·a-1).研究期间,森林NPP无显著年际变化,其中2007、2008年较往年NPP大幅增加,很可能与该地区期间气温上升有关(较往年偏高1 ℃=～2℃).东北地区森林自北向南生长季开始时间逐渐提前,生长季变长.     

浙江省生态公益林碳储量和固碳现状及潜力

生态公益林是为保护和改善人类生存环境,维持生态平衡而建立的。以浙江省的生态公益林为研究对象,共调查和估算了全省21个县149个样地(年龄从5a到50a),包括常绿阔叶林、针阔混交林、马尾松林和杉木林4种主要林型的碳储量和碳平衡。结果说明:浙江省生态公益林生态系统碳密度的加权平均值为164.43tC.hm-2;其中常绿阔叶林生态系统碳储量最高,达216.18tC.hm-2;针阔混交林其次,达181.36tC.hm-2;针叶林最低。浙江省森林以幼龄林(小于30a的占87.5%)和马尾松林(大于55%)为主离成熟状态还相差很远,尤其是针叶林远低于全国平均水平和中高纬度地区碳密度。全省生态公益林净生态系统生产力加权平均得0.08tC.hm-.2a-1,在碳积累上还有很大的潜力。通过封育改造、择伐补阔或以灌促阔等森林管理措施,加快针叶林向针阔混交林直至常绿阔叶林演替,将最大化中国亚热带地区的幼林或受干扰森林的未来碳储量(最高增长31.44%),并成为较大的碳汇。     

珠江三角洲3种典型森林类型乔木叶片生态化学计量学

以珠江三角洲3种典型森林类型(常绿阔叶林、针阔混交林和针叶林)为研究对象, 分析了各类型优势乔木叶片C、N、P化学计量特征。结果显示, 所有研究个体叶片C、N、P含量范围分别为434-537、6.8-23.0和0.56-2.10 mg·g^-1, C:N、C:P和N:P的分布区间分别为 21.22-70.74、227.14-844.64和5.26-20.91, 且N与P之间、C:N与C:P之间具有较好的协同性。3种森林类型中, 针叶林乔木叶片C含量最大, 加权平均值为(517.85 ± 35.96) mg·g^-1, 其次是针阔混交林((509.47 ± 19.38) mg·g^-1), 常绿阔叶林最小((481.59 ± 18.35) mg·g^-1); 针叶林乔木叶片N含量((12.20 ± 5.65) mg·g^-1)最大, 其次是常绿阔叶林((11.50 ± 4.24) mg·g^-1), 针阔混交林((10.51 ± 5.22) mg·g^-1)最小; 各森林类型乔木叶片P含量大小顺序与C含量完全相反, 为常绿阔叶林((1.31 ± 0.48) mg·g^-1)>针阔混交林((0.96 ± 0.61) mg·g^-1)>针叶林((0.77 ± 0.40) mg·g^-1)。针阔混交林乔木叶片C:N (51.35 ± 13.65)最大, 针叶林(47.40 ± 15.85)其次, 常绿阔叶林(45.59 ± 14.70)最小; 各森林类型乔木叶片C:P和N:P大小顺序相同, 均为针叶林(727.47 ± 231.52、15.71 ± 3.76)>针阔混交林(553.01 ± 152.32、10.93 ± 1.89)>常绿阔叶林(412.19 ± 200.91、9.46 ± 4.28)。同时根据乔木叶片N:P还发现, 少数阔叶树种和常绿阔叶林生产力受到N素限制。     

中国西北干旱区植被碳汇估算及其时空格局

通过修正的CASA模型估算2001—2012年间西北干旱区陆地生态系统的净第一性生产力(NPP),并结合土壤微生物呼吸方程,计算出12a的净生态系统生产力(NEP),分析了植被碳汇的时空变化规律。结果表明:研究区的NPP表现出很强的随季节变化的规律,全年7月份NPP为最高值,12月为最低值,12年间NPP的年均值变化不大。2001—2012年研究区的植被碳汇在波动变化中有所增加,其中2006年的碳汇平均值最小,为609.04 g C m~(-2)a~(-1),2012年最大,为648.02 g C m~(-2)a~(-1);年内碳汇的最大值主要出现在5—7月;碳汇能力由大到小的植被类型为针叶林农田灌丛阔叶林草原荒漠草原。研究区多年平均碳汇量呈现自西向东逐渐增加的规律,西辽河流域草原区的NPP和碳汇平均值最大,塔里木盆地暖温带荒漠区最小。     

2000—2015年中国东北森林生产力和碳素利用率的时空变异

中国东北森林生态系统是重要的碳汇功能区,也是对环境变化响应的敏感区,分析其植被生产力和碳素利用效率的变化特征及其对气候变化的响应对于区域碳收支的准确评估和预测具有重要意义.本研究利用MODIS的长期监测数据,结合植被类型分布数据,对中国东北森林生态系统2000—2015年生产力(净初级生产力NPP、总初级生产力GPP)和碳素利用率(NPP/GPP)时空变化特征进行分析.结果表明: 研究期间,东北森林生态系统平均NPP和GPP分别为346.4和773 g C·m^-2·a^-1,平均NPP/GPP为0.45.不同森林类型的NPP和GPP依次为针阔混交林>落叶阔叶林>针叶林,NPP/GPP在不同森林类型间无显著差异.NPP和GPP呈现出东南高、西北低的空间分布特点.2000—2015年间,东北森林生态系统NPP、GPP和NPP/GPP呈波动增加趋势,固碳能力逐步增强.NPP、GPP和NPP/GPP的变化趋势和变化速率表现出空间差异性,在大兴安岭南部地区显著增加,在大兴安岭北部地区显著下降,其余区域呈微弱增加趋势.与气候因子的相关性分析表明,年降水量的增加是驱动东北森林生态系统NPP、GPP和NPP/GPP波动增加的主要因素.     

南方丘陵山地带植被净第一性生产力时空动态特征

基于MODIS数据并结合气象资料和植被参数,利用修正过最大光能利用率的CASA(Carnegie-Ames-Stanford Approach)模型,对国家生态安全屏障区的"两屏三带"之一南方丘陵山地带2000—2010年的植被净第一性生产力(NPP)进行模拟,并对其时空分布格局进行了分析。研究结果表明:(1)研究区2000—2010年期间年NPP的变化范围为406.0—485.6 g C m-2a-1,年平均NPP为445.7 g C m-2a-1,高于全国平均水平;NPP年际上升趋势不显著(P=0.39),平均增加值为2.28 g C m-2a-1;(2)NPP空间分布特征与植被类型具有较好的一致性,单位面积NPP以混交林覆盖区最高(501.0 g C m-2a-1),草地覆盖区NPP最低(390.7 g C m-2a-1);(3)植被NPP的时空变化与气温、降雨和太阳辐射等自然因素的变化有直接关系,而社会、经济、政策等人为因素通过改变土地利用方式来间接影响。     

我国陆地植被净初级生产力变化规律及其对气候的响应

在GIS系统的支持下,利用卫星遥感资料和地面气象观测资料,构建了基于光能利用率的植被净初级生产力(NPP)遥感模型,估算了我国陆地1982—2000年1—12月植被NPP,分析了1982—2000年我国不同植被类型NPP的季节性和年际性变化规律,基于像元空间尺度讨论了植被NPP对气候的响应关系.结果表明,我国植被NPP年内季节性变化规律明显;我国主要植被类型年NPP在1982—2000年基本呈上升趋势,增长幅度最大的是落叶针叶林,增长幅度最小的是草地;1982—2000年,NPP年际间波动最大的植被类型是常绿阔叶林,年际间波动最小的植被类型是草地.通过NPP对气候因子(降水、温度)变化的响应分析表明,我国降水对植被NPP季节性变化的驱动作用高于温度,气候因子(降水、温度)对北方植被NPP季节性变化的驱动作用高于南方;我国气候因子(降水、温度)对NPP年际变化的驱动作用(强度、方向)随季节 及纬度的不同而不同.     

Evaluating Spatial-Temporal Dynamics of Net Primary Productivity of Different Forest Types in Northeastern China Based on Improved FORCCHN

An improved individual-based forest ecosystem carbon budget model for China (FORCCHN) was applied to investigate the spatial-temporal dynamics of net primary productivity of different forest types in northeastern China. In this study, the forests of northeastern China were categorized into four ecological types according to their habitats and generic characteristics (evergreen broadleaf forest, deciduous broadleaf forest, evergreen needleleaf forest and deciduous needleleaf forest). The results showed that distribution and change of forest NPP in northeastern China were related to the different forest types. From 1981 to 2002, among the forest types in northeastern China, per unit area NPP and total NPP of deciduous broadleaf forest were the highest, with the values of 729.4 gC/(m²•yr) and 106.0 TgC/yr, respectively, followed by mixed broadleaf- needleleaf forest, deciduous needleleaf forest and evergreen needleleaf forest. From 1981 to 2002, per unit area NPP and total NPP of different forest types in northeastern China exhibited significant trends of interannual increase, and rapid increase was found between the 1980s and 1990s. The contribution of the different forest type’s NPP to total NPP in northeastern China was clearly different. The greatest was deciduous broadleaf forest, followed by mixed broadleaf- needleleaf forest and deciduous needleleaf forest. The smallest was evergreen needleleaf forest. Spatial difference in NPP between different forest types was remarkable. High NPP values of deciduous needleleaf forest, mixed broadleaf- needleleaf forest and deciduous broadleaf forest were found in the Daxing’anling region, the southeastern of Xiaoxing’anling and Jilin province, and the Changbai Mountain, respectively. However, no regional differences were found for evergreen needleleaf NPP. This study provided not only an estimation NPP of different forest types in northeastern China but also a useful methodology for estimating forest carbon storage at regional and global levels.     

Different patterns of ecosystem carbon accumulation between a young and an old-growth subtropical forest in Southern China

Using long-term (22 years) measurements from a young and an old-growth subtropical forest in southern China, we found that both forests accumulated carbon from 1982 to 2004, with the mean carbon accumulation rate at 227 ± 59 g C m⁻² year⁻¹ for young forest and 115 ± 89 g C m⁻² year⁻¹ for the old-growth forest. Allocation of the accumulated carbon was quite different between these two forests: the young forest accumulated a significant amount of carbon in plant live biomass, whereas the old-growth forest accumulated a significant amount of carbon in the soil. From 1982 to 2004, net primary productivity (NPP) increased for the young forest, and did not change significantly for the old-growth forest. The increase in NPP of the young forest resulted from recruitment of some dominant tree species characteristic of the subtropical mature forest in the region and an increase in tree density; decline of NPP of the old-growth forest was caused by increased mortality of the dominant trees.     

Response of net primary production to land use and climate changes in the middle‐reaches of the Heihe River Basin

Net primary production (NPP) supplies matter, energy, and services to facilitate the sustainable development of human society and ecosystem. The response mechanism of NPP to land use and climate changes is essential for food security and biodiversity conservation but lacks a comprehensive understanding, especially in arid and semi‐arid regions. To this end, taking the middle‐reaches of the Heihe River Basin (MHRB) as an example, we uncovered the NPP responses to land use and climate changes by integrating multisource data (e.g., MOD17A3 NPP, land use, temperature, and precipitation) and multiple methods. The results showed that (a) land use intensity (LUI) increased, and climate warming and wetting promoted NPP. From 2000 to 2014, the LUI, temperature, and precipitation of MHRB increased by 1.46, 0.58°C, and 15.76 mm, respectively, resulting in an increase of 14.62 gC/m² in annual average NPP. (b) The conversion of low‐yield cropland to forest and grassland increased NPP. Although the widespread conversion of unused land and grassland to cropland boosted both LUI and NPP, it was not conducive to ecosystem sustainability and stability due to huge water consumption and human‐appropriated NPP. Urban sprawl occupied cropland, forest, and grassland and reduced NPP. (c) Increase in temperature and precipitation generally improved NPP. The temperature decreasing <1.2°C also promoted the NPP of hardy vegetation due to the simultaneous precipitation increase. However, warming‐induced water stress compromised the NPP in arid sparse grassland and deserts. Cropland had greater NPP and NPP increase than natural vegetation due to the irrigation, fertilizers, and other artificial inputs it received. The decrease in both temperature and precipitation generally reduced NPP, but the NPP in the well‐protection or less‐disturbance areas still increased slightly.     

Biometric Based Carbon Flux Measurements and Net Ecosystem Production (NEP) in a Temperate Deciduous Broad-Leaved Forest Beneath a Flux Tower

Biometric based carbon flux measurements were conducted over 5 years (1999–2003) in a temperate deciduous broad-leaved forest of the AsiaFlux network to estimate net ecosystem production (NEP). Biometric based NEP, as measured by the balance between net primary production (including NPP of canopy trees and of forest floor dwarf bamboo) and heterotrophic respiration (RH), clarified the contribution of various biological processes to the ecosystem carbon budget, and also showed where and how the forest is storing C. The mean NPP of the trees was 5.4 ± 1.07 t C ha⁻¹ y⁻¹, including biomass increment (0.3 ± 0.82 t C ha⁻¹ y⁻¹), tree mortality (1.0 ± 0.61 t C ha⁻¹ y⁻¹), aboveground detritus production (2.3 ± 0.39 t C ha⁻¹ y⁻¹) and belowground fine root production (1.8 ± 0.31 t C ha⁻¹ y⁻¹). Annual biomass increment was rather small because of high tree mortality during the 5 years. Total NPP at the site was 6.5 ± 1.07 t C ha⁻¹ y⁻¹, including the NPP of the forest floor community (1.1 ± 0.06 t C ha⁻¹ y⁻¹). The soil surface CO₂ efflux (RS) was averaged across the 5 years of record using open-flow chambers. The mean estimated annual RS amounted to 7.1 ± 0.44 t C ha⁻¹, and the decomposition of soil organic matter (SOM) was estimated at 3.9 ± 0.24 t C ha⁻¹. RH was estimated at 4.4 ± 0.32 t C ha⁻¹ y⁻¹, which included decomposition of coarse woody debris. Biometric NEP in the forest was estimated at 2.1 ± 1.15 t C ha⁻¹ y⁻¹, which agreed well with the eddy-covariance based net ecosystem exchange (NEE). The contribution of woody increment (Δbiomass + mortality) of the canopy trees to NEP was rather small, and thus the SOM pool played an important role in carbon storage in the temperate forest. These results suggested that the dense forest floor of dwarf bamboo might have a critical role in soil carbon sequestration in temperate East Asian deciduous forests.     

Carbon dynamics,net primary productivity and human‐appropriated net primary productivity across a forest–cocoa farm landscape in West Africa

Terrestrial net primary productivity (NPP) is an important metric of ecosystem functioning; however, there are little empirical data on the NPP of human‐modified ecosystems, particularly smallholder, perennial crops like cocoa (Theobroma cacao), which are extensive across the tropics. Human‐appropriated NPP (HANPP) is a measure of the proportion of a natural system's NPP that has either been reduced through land‐use change or harvested directly and, previously, has been calculated to estimate the scale of the human impact on the biosphere. Additionally, human modification can create shifts in NPP allocation and decomposition, with concomitant impacts on the carbon cycle. This study presents the results of 3 years of intensive monitoring of forest and smallholder cocoa farms across disturbance, management intensity, distance from forest and farm age gradients. We measured among the highest reported NPP values in tropical forest, 17.57 ± 2.1 and 17.7 ± 1.6 Mg C ha^?1 year^?1 for intact and logged forest, respectively; however, the average NPP of cocoa farms was still higher, 18.8 ± 2.5 Mg C ha^?1 year^?1, which we found was driven by cocoa pod production. We found a dramatic shift in litterfall residence times, where cocoa leaves decomposed more slowly than forest leaves and shade tree litterfall decomposed considerably faster, indicating significant changes in rates of nutrient cycling. The average HANPP value for all cocoa farms was 2.1 ± 1.1 Mg C ha^?1 year^?1; however, depending on the density of shade trees, it ranged from ?4.6 to 5.2 Mg C ha^?1 year^?1. Therefore, rather than being related to cocoa yield, HANPP was reduced by maintaining higher shade levels. Across our monitored farms, 18.9% of farm NPP was harvested (i.e., whole cocoa pods) and only 1.1% (i.e., cocoa beans) was removed from the system, suggesting that the scale of HANPP in smallholder cocoa agroforestry systems is relatively small.     

庙岛群岛南五岛生态系统净初级生产力空间分布及其影响因子

净初级生产力(NPP)估算对于海岛碳源/汇研究具有重要意义。以庙岛群岛南五岛为例,结合CASA模型和区域特征构建NPP估算模型,借助RS和GIS技术进行NPP估算,进而分析南五岛NPP空间分布特征及其影响因子。结果表明:南五岛NPP总量为11043.52 t C/a,平均密度为340.19 g C m~(-2)a~(-1),处于全国平均水平,高于同纬度的西部地区,低于东部沿海大陆地区;夏季NPP总量占全年的80%左右,春季和秋季分别占11%和7%,冬季仅占1.3%;不同海岛的NPP平均密度由大到小依次为大黑山岛、北长山岛、庙岛、南长山岛和小黑山岛,各岛NPP平均密度与建设用地比例呈明显负相关;不同地表覆盖类型的NPP平均密度由大到小依次为阔叶林、针叶林、农田、草地、建设用地和裸地,林地具有较高的NPP值,说明南五岛的人工林建设具有重要生态作用;NDVI和地表覆盖类型是NPP最主要的影响参数,地形参数通过影响NDVI和地表覆盖类型间接作用于NPP结果;NPP与土壤p H、有效磷、全磷、全钾呈显著负相关,与全氮、总碳、总有机碳呈显著正相关,与含水量、速效钾和含盐量之间相关关系不明显。     

Response of Litter Decomposition to Simulated N Deposition in Disturbed, Rehabilitated and Mature Forests in Subtropical China

The response of decomposition of litter for the dominant tree species in disturbed (pine), rehabilitated (pine and broadleaf mixed) and mature (monsoon evergreen broadleaf) forests in subtropical China to simulated N deposition was studied to address the following hypothesis: (1) litter decomposition is faster in mature forest (high soil N availability) than in rehabilitated/disturbed forests (low soil N availability); (2) litter decomposition is stimulated by N addition in rehabilitated and disturbed forests due to their low soil N availability; (3) N addition has little effect on litter decomposition in mature forest due to its high soil N availability. The litterbag method (a total of 2880 litterbags) and N treatments: Control-no N addition, Low-N: −5 g N m⁻² y⁻¹, Medium-N: −10 g N m⁻² y⁻¹, and High-N: −15 g N m⁻² y⁻¹, were employed to evaluate decomposition_. Results indicated that mature forest, which has likely been N saturated due to both long-term high N deposition in the region and the age of the ecosystem, had the highest litter decomposition rate, and exhibited no significant positive and even some negative response to nitrogen additions. However, both disturbed and rehabilitated forests, which are still N limited due to previous land use history, exhibited slower litter decomposition rates with significant positive effects from nitrogen additions. These results suggest that litter decomposition and its responses to N addition in subtropical forests of China vary depending on the nitrogen status of the ecosystem.     

不同生态恢复模式对黄土残塬沟壑区深层土壤有机碳的影响

黄土高原退耕还林近20年来,大量生态恢复工程的实施,势必对土壤碳库产生影响。为评估生态恢复的土壤碳汇效益,本研究以黄土残塬沟壑区天然次生林、人工生态林和人工经济林等3种生态恢复模式为对象,研究其4 m土壤有机碳(SOC)储量。结果表明:(1)三种生态恢复模式具有明显的碳汇效益。天然次生林4 m SOC储量为(166.40±42.90) t/hm~2比坡中农地((58.73±4.73) t/hm~2显著增加了183.33%;人工生态林和人工经济林分别为(111.32±13.30) t/hm~2、(104.60±7.10) t/hm~2比坡中农地高89.54%、78.11%;(2)0—60 cm SOC含量随深度的增加显著降低(P0.05),由表层的(11.03±7.51) g/kg减少到(2.40±0.93) g/kg,降幅达78.22%,表现出明显的表聚性;60—400 cm SOC含量变化较为稳定,含量较低为(1.81±0.88) g/kg;(3)三种恢复模式深层(1—4 m)SOC储量与坡中农地相比分别提高109.43%、76.43%、65.06%;深层SOC储量天然次生林((77.81±8.40) t/hm~2)、人工生态林((65.55±7.71) t/hm~2)、人工经济林((61.32±3.16) t/hm~2)分别占4 m剖面有机碳储量的46.76%、58.89%、58.62%。结果表明天然次生林和人工混交林是黄土高原残塬沟壑区良好的生态恢复模式,且深层SOC在土壤碳库中不可忽视。