中亚热带山区土地利用变化对土壤有机碳储量和质量的影响

通过对中亚热带山区天然林、人工林(用材林和经济林)、次生林、果园和坡耕地等7 种典型土地利用方式的土壤有机碳储量及质量的研究, 结果表明: 中亚热带山区天然林转变 为其他土地利用类型后, 土壤有机碳储量下降了25.6%~51.2%, 而表层0~20 cm 土壤有机碳 储量下降了45.1%~74.8%, 比底层土壤有机碳对土地利用变化的响应更为敏感。土壤轻组有机碳储量(0~60 cm) 下降了52.2%~84.2%, 轻组有机碳占总有机碳比例从13.3%降到3.0% ~10.7%, 比土壤总有机碳对土地利用变化更为敏感。天然林转变为其他土地利用类型后土壤 有机碳损失巨大的原因主要与凋落物归还数量及质量, 水土流失和经营措施对土壤(特别是表层土壤) 的扰动引起土壤有机质加速分解等因素有关。坡耕地人为干扰最严重, 土壤有机 碳下降幅度最大。中亚热带山区土地利用变化引起土壤有机碳储量下降幅度高于全球平均水平, 主要与区域降水和地貌条件有关。因此, 保护山区脆弱生态环境, 加强天然林保护和植 被恢复, 合理营造人工林, 减少耕作, 对山区土壤碳吸存、减缓大气CO₂ 浓度升高和气候变化以及促进山区可持续开发的生态服务功能发展都具有重要意义。     

海南岛土壤有机碳空间分布特征及储量

利用2005年海南岛生态地球化学调查获得的8713件表层土壤和2197件深层土壤样品,计算分析海南岛土壤有机碳的空间分布特征,结果显示:0～20 cm、0～100 cm、0～180 cm 3个深度的土壤有机碳密度分别为2.86、9.48、13.72 kg/m2,与国内其他典型地区相比,几乎处于最低水平.区域土壤有机碳密度图显示,海南岛土壤有机碳的分布与地貌类型关系密切,高值区分布在山地、丘陵、火山岩台地等地区,其次是平原区,最低为滨海地区.统计显示,土地利用类型、土类不同,土壤有机碳密度差异明显,不同地类土壤有机碳密度:园地＞林地＞其他土地＞耕地,土壤有机碳主要贮存在林地和耕地中;不同土类土壤有机碳密度:黄壤＞赤红壤＞砖红壤＞水稻土＞燥红土,土壤有机碳主要贮存在砖红壤、赤红壤和水稻土中;0～180 cm土壤有机碳库储量为478.13 Mt.     

我国中亚热带山地土壤有机质研究

本文研究中亚热带地区湖南连云山、万洋山各垂直地带的A层土壤的有机质某些性质的垂直变化规律.TC、TN、Kos、HA/FA、总酸度、羧基和酚羟基含量均表现为随海拔的增高而增加的趋势,E4/E6的结果则相反.Ca键腐殖质变化不明显,Fe.Al键腐殖质、紧结态腐殖质均随海拔的升高而增加.G0%和G1%含量随海拔的升高而减小,G2%含量随海拔的升高而增加,G1/G2比值表现为基带土壤＞0.5,而山地土壤＜0.5.基带土壤中G2组有机碳在复合体有机碳总量中所占的比例较小,山地土壤中G2组有机碳占的比例却最大,都超过50%.聚类分析表明海拔高度对低海拔和高海拔地带土壤的有机质性质的影响小于中间过渡地带.     

内蒙古乌梁素海湿地土壤有机碳组成与碳储量

2013年5月,在乌梁素海湿地的明水区、湖中芦苇(Phragmites australis)区、人工芦苇区(弃耕26 a)和弃耕芦苇区(弃耕3 a),采集0~40 cm深度的土壤(或沉积物)样品,研究土壤的有机碳组成[颗粒有机碳(POC)和矿质结合有机碳(MOC)]和碳储量。乌梁素海明水区的平均水深1~3 m,生长着沉水植物;湖中芦苇区水深约1 m,自然生长着野生芦苇,常年淹水;弃耕芦苇区为2011年农田退耕后形成的芦苇沼泽,季节性淹水;人工芦苇区的芦苇于1988年种植,季节性淹水。结果表明,明水区和湖中芦苇区表层土壤(0~10 cm深度)的总有机碳含量(15 g/kg)明显高于弃耕芦苇区[(2.60±0.33)g/kg]和人工芦苇区[(6.29±0.75)g/kg]。随着土壤深度的增加,人工芦苇区、明水区和湖中芦苇区土壤的总有机碳(TOC)含量都在减少。弃耕芦苇区各深度土壤的总有机碳和颗粒有机碳含量都相对最低。湖中芦苇区表层土壤的颗粒有机碳含量[(6.96±3.02)g/kg]最高,并且随着土壤深度的增加,其颗粒有机碳含量减少最快。除弃耕芦苇区外,其他采样区土壤(沉积物)的矿质结合有机碳含量都随着土壤深度的增加而减少,且在10~20 cm深度变化最明显,与颗粒有机碳含量垂直变化相似。明水区沉积物的颗粒有机碳含量占总有机碳含量的比例相对较低,表明其碳库最稳定。各采样区土壤(沉积物)不同组分有机碳含量与有机氮含量显著线性相关,TOC/TON、POC/PON和MOC/MON平均值分别为11.0、12.8和10.2。明水区沉积物总有机碳的储量最高(3.93 kg/m2),其次为湖中芦苇区(3.48 kg/m2)和人工芦苇区(3.18 kg/m2),弃耕芦苇区土壤总有机碳的储量仅为1.87 kg/m2。各采样区土壤(沉积物)的矿质结合有机碳储量都占较大比例,分别为80.2%(明水区)、67.9%(湖中芦苇区)、78.3%(人工芦苇区)和68.8%(弃耕芦苇区)。如果沼泽化导致明水区退化为芦苇沼泽,乌梁素海湿地的碳库损失将达到0.45 kg/m2。     

1980s-2010s内蒙古草地表层土壤有机碳储量及其变化

以我国内蒙古草原为研究区域,结合1982-1988年第二次土壤普查资料以及2011-2012年实地考察数据,构建了基于遥感数据和土壤数据的区域表层土壤有机碳储量估算方法,对研究区1980s和2010s表层土壤有机碳储量、空间分布特征及其变化进行研究,结果表明：(1) 1980s、2010s内蒙古草地表层土壤 (0~20 cm) 有机碳储量分别为2.05 Pg C、2.17 Pg C,土壤有机碳密度约为3.48 kg C·m^-2、3.69 kg C·m^-2,其空间分布上呈现从草甸草原、典型草原、荒漠草原逐渐降低的特征;(2) 1982-2012年间,内蒙古草地表层土壤有机碳储量略有增加,但增加幅度较小,其中草甸草原和典型草原表层土壤有机碳储量增加,荒漠草原则表现为减少。研究结果将为研究区因地制宜地采取固碳措施,实现草地可持续管理提供科学参考。     

黑河中游土地利用/覆被变化及其对碳储量影响的预测

准确预测未来土地利用/覆盖变化及其对区域碳储量的影响对土地利用决策和气候变化研究具有重要意义。以黑河中游流域为研究对象,基于2000年和2012年两期土地利用解译数据,运用CA-Markov模型,并依据《IPCC 2006指南》提供的清单方法,在对研究区2024年土地利用变化特征进行预测分析的基础上评估了2000-2024年黑河中游土地利用/覆被变化对碳储量的影响。结果表明:2000-2012年,研究区耕地、建设用地、林地和草地面积呈增加趋势,未利用土地和水域面积呈减少趋势,土地利用/覆被变化导致碳储量增加3.22×10^6 t;预测2024年黑河中游土地利用变化同2012年相比,耕地、建设用地、林地占研究区比例分别增加3.18%、0.84%和0.77%,未利用土地、草地和水域占研究区比例分别减少3.32%、1.13%和0.33%;2012-2024年土地利用/覆被变化导致碳储量增加7.55×10^6 t,各土地利用类型变化导致碳储量变化更加明显,其中林地和耕地增加是碳储量增加的主要原因,建设用地增加是碳储量减少的主要原因。总体来看,2012-2024年耕地、建设用地、林地将继续呈增加趋势,未利用土地和水体将继续呈减少趋势;2012-2024年较2000-2012年土地利用变化导致碳储量增加4.33×10^6 t,固碳能力表现出较明显的提高。     

阿尔泰山南坡土壤有机碳密度的分布特征和储量估算

在陆地生态系统中土壤有机碳库是重要的碳库之一,对于研究全球碳循环和温室效应有重要影响。通过野外实地采样和室内分析,按照0~10 cm、10~20 cm、20~30 cm、30~40 cm、40~50 cm、50~100 cm的土壤分层方法,综合分析了阿尔泰山南坡土壤有机碳密度的分布特征,并估算了该地区的有机碳储量。结果表明:(1)在阿尔泰山南坡土壤有机碳密度随海拔梯度的变化具有一定的变化规律,海拔在500~2 400 m之间,土壤有机碳密度呈现逐渐增加的趋势;2 400~3 000 m之间,出现下降趋势;(2)土壤有机碳密度在0~100 cm土壤层内呈递减趋势,且不同土层有机碳密度的变异程度不同;在土壤各个土层深度,9种土壤类型的有机碳密度均有显著差异(p0.05);(3)研究区域0~100 cm有机碳储量为0.477 4 Pg,各土壤类型储量差异显著(p0.05),亚高山草甸土的储量最多,山地灰色针叶林土次之,储量最少的出现在高山寒冻土和棕钙土;其中0~30 cm层土壤有机碳储量为0.225 Pg,占总储量的44.13%。研究结果为估算不同土壤类型土壤有机碳密度,以及分析碳源碳汇提供了数据参考,并对进一步研究此地区碳循环具有一定意义。     

中亚干旱荒漠区植被碳储量估算

荒漠是陆地生态系统的重要组成部分,荒漠植被碳储量研究是陆地生态系统碳循环研究的重要内容之一。中亚五国及中国准噶尔荒漠是中亚干旱区的主体部分,目前关于该地区荒漠植被碳储量的研究尚属空白。在对准噶尔荒漠不同植被类型活生物量碳大规模调查的基础上,结合中亚干旱荒漠区植被图,利用平均生物量法初步估算了中亚区域荒漠植被碳储量。结果表明：中亚区域荒漠面积共310.37×104 km2,总生物量碳储量为57.03×10⁷ t,地上、地下生物量碳分别为28.87×10⁷ t和28.16×10⁷ t,各占50.63%和49.37%。各植被型中,温带半灌木、矮半灌木荒漠的生物量碳储量最大,达到14.17×10⁷ t （占24.84%）。中亚荒漠平均生物量碳密度为1.837 t/hm²,其中温带矮半乔木荒漠碳密度最大（2.367 t/hm²）。可以推测,在未来中亚地区降水持续增加的条件下下,中亚荒漠植被将会有更大的碳汇潜力。     

基于FLUS-InVEST模型的中国未来土地利用变化及其对碳储量影响的模拟

基于代表性浓度路径情景（Representative Concentration Pathways, RCPs）,耦合FLUS-InVEST（Future Land Use Simulation-Integrated Valuation of Ecosystem Services and Trade-offs, FLUS-InVEST）模型,以土地利用视角模拟了中国2100年的陆地生态系统碳储量,探讨其空间分异。结果表明：1）历史土地利用变化作用下,中国生态系统碳储量减少中心由华北地区转向东北地区,增加中心由西北地区转向西南地区;碳储量的减少由林地生态系统转向草地生态系统。2）未来RCPs情景下,中国林地生态系统碳储量都将持续增加,草地生态系统碳储量持续减少。RCP 6.0情景下,中国林地面积将增加9.43%左右,草地面积减少5.42%,全国林地碳储量较2010年增加2 332.64 Tg,而草地碳储量将损失1 719.03 Tg。在RCP 8.5情景下,全国林地面积增加5.15%,草地面积将减少5.10%,林地碳储量较2010年将增加1 754.59 Tg,草地碳储量将损失2 468.80 Tg。3）RCP 6.0情景对未来碳汇贡献度较RCP 8.5情景大。在RCP 6.0情景下,植被地上碳储量和表层土壤碳储量分别净增加127.12和83.67 Tg。但在RCP 8.5情景下,植被地上碳储量和表层土壤碳储量分别净减少24.67和32.41 Tg。4）不同RCPs情景下,碳储量增长均集中在横断山-秦岭-太行山-大兴安岭和雪峰山-太行山-大兴安岭两带;减少区域主要分布于云贵高原、四川盆地和京津冀地区。     

The impact of land use/cover change on storage and quality of soil organic carbon in midsubtropical mountainous area of southern China

Land use/cover change (LUCC) is widely recognized as one of the most important driving forces of global carbon cycles. The influence of converting native forest into plantations, secondary forest, orchard and arable land on stores and quality of soil organic carbon (SOC) was investigated in mid-subtropical mountainous area of southern China. The results showed that LUCC had led to great decreases in SOC stocks and quality. Considerable SOC and light-fraction organic carbon (LFOC) had been stored in the native forest (142.2 t hm?2 and 14.8 t hm?2 respectively). When the native forest was converted to plantations, secondary forest, orchard and arable land, the SOC stocks decreased by 25.6%, 28.7%, 38.0%, 31.8% and 51.2%, respectively. The LFOC stocks decreased by 52.2% to 57.2% when the native forest was converted to woodland plantations and secondary forest, and by 82.1% to 84.2% when converted to economic plantation, orchard and arable land. After the conversion, the ratios of LFOC to SOC (0–60 cm) decreased from 13.3% to about 3.0% to 10.7%. The SOC and LFOC stored at the upper 20 cm were more sensitive to LUCC when compared to the subsurface soil layer. Also, the decline in carbon storage induced by LUCC was greater than the global average level, it could be explained by the vulnerable natural environment and special human management practices. Thus, it is wise to enhance soil carbon sequestration, mitigate elevated atmospheric co2 and develop ecological services by protecting vulnerable environment, restoring vegetation coverage, and afforesting in mountainous area in mid-subtropics.     

黑河流域土地利用变化对土壤有机碳和全氮储量的影响——元分析（英文）

Land use and cover change(LUCC) is an important indicator of the human-earth system under climate/environmental change,which also serves as a key impact factor of carbon balance,and a major source/sink of soil carbon cycles.The Heihe River Basin(HRB) is known as a typical ecologically fragile area in the arid/semi-arid regions of northwestern China,which makes it more sensitive to the LUCC.However,its sensitivity varies in a broad range of controlling factors,such as soil layers,LUCCs and calculation methods(e.g.the fixed depth method,FD,and the equivalent mass method,ESM).In this study,we performed a meta-analysis to assess the response of soil organic carbon(SOC) and total nitrogen(TN) storage to the LUCC as well as method bias based on 383 sets of SOC data and 148 sets of TN data from the HRB.We first evaluated the calculation methods and found that based on the FD method,the LUCC caused SOC and TN storage to decrease by 17.39% and 14.27%,respectively;while the losses estimated using the ESM method were 19.31% and 18.52%,respectively.The deviations between two methods were mainly due to the fact that the FD method ignores the heterogeneity of soil bulk density(BD),which may underestimate the results subsequently.We then analyzed the response of SOC and TN storage to various types of the LUCC.In particular,when woodland and grassland were converted into cultivated land or other land types,SOC and TN suffered from heavy losses,while other LUCCs had minor influences.Finally,we showed that increasing the depth of the soil layers would reduce the losses of SOC and TN storage.In summary,we identified a series of controlling factors(e.g.soil layer,the LUCC and calculation method) to evaluate the impact of the LUCC on SOC and TN storage in the HRB,which should be considered in future research.     

The impact of land use and cover change on soil organic carbon and total nitrogen storage in the Heihe River Basin: A meta-analysis

Journal of Geographical Sciences - Land use and cover change (LUCC) is an important indicator of the human-earth system under climate/environmental change, which also serves as a key impact factor...     

山区土地利用/覆被变化对土壤侵蚀的影响

本文以福建省山区为例,在对福建省水土保持实验站、建瓯市牛坑龙水土保持试验站长期观测、实验资料深入分析对比的基础之上,探讨了土地利用/土地覆被变化对土壤侵蚀的影响规律。分析结果表明,土地利用/土地覆被变化对径流的产生和土壤侵蚀有重要影响,植被的覆盖度的变化直接影响着径流系数和土壤侵蚀模数;植被的覆盖度和径流系数呈负线性关系,随着覆盖度的增加径流系数逐渐减小;植被覆盖度和土壤侵蚀模数为负指数关系,随着植被覆盖度的增大,土壤侵蚀模数急剧下降。     

Effects of land use and cultivation time on soil organic and inorganic carbon storage in deep soils

The vertical distribution and exchange mechanisms of soil organic and inorganic carbon(SOC, SIC) play an important role in assessing carbon(C) cycling and budgets. However, the impact of land use through time for deep soil C(below 100 cm) is not well known. To investigate deep C storage under different land uses and evaluate how it changes with time, we collected soil samples to a depth of 500 cm in a soil profile in the Gutun watershed on the Chinese Loess Plateau(CLP); and determined SOC, SIC, and bulk density. The magnitude of SOC stocks in the 0–500 cm depth range fell into the following ranking: shrubland(17.2 kg m~(-2)) grassland(16.3 kg m~(-2)) forestland(15.2 kg m~(-2)) cropland(14.1 kg m~(-2)) gully land(6.4 kg m~(-2)). The ranking for SIC stocks were: grassland(104.1 kg m~(-2)) forestland(96.2 kg m~(-2)) shrubland(90.6 kg m~(-2)) cropland(82.4 kg m~(-2)) gully land(50.3 kg m~(-2)). Respective SOC and SIC stocks were at least 1.6-and 2.1-fold higher within the 100–500 cm depth range, as compared to the 0–100 cm depth range. Overall SOC and SIC stocks decreased significantly from the 5 th to the 15 th year of cultivation in croplands, and generally increased up to the 70 th year. Both SOC and SIC stocks showed a turning point at 15 years cultivation, which should be considered when evaluating soil C sequestration. Estimates of C stocks greatly depends on soil sampling depth, and understanding the influences of land use and time will improve soil productivity and conservation in regions with deep soils.     

Impact of land use conversion on soil organic carbon stocks in an agro-pastoral ecotone of Inner Mongolia

Soil organic carbon (SOC) stocks in terrestrial ecosystems vary considerably with land use types. Grassland, forest, and cropland coexist in the agro-pastoral ecotone of Inner Mongolia, China. Using SOC data compiled from literature and field investigations, this study compared SOC stocks and their vertical distributions among three types of ecosystems. The results indicate that grassland had the largest SOC stock, which was 1.5- and 1.8-folds more than stocks in forest and cropland, respectively. Relative to the stock in 0–100 cm depth, grassland held more than 40% of its SOC stock in the upper 20 cm soil layer; forest and cropland both held over 30% of their respective SOC stocks in the upper 20 cm soil layer. SOC stocks in grazed grasslands were remarkably promoted after ≥20 years of grazing exclusion. Conservational cultivation substantially increased the SOC stocks in cropland, especially in the 0–40 cm depth. Stand ages, tree species, and forest types did not have obvious impacts on forest SOC stocks in the study area likely due to the younger stand ages. Our study implies that soil carbon loss should be taken into account during the implementation of ecological projects, such as reclamation and afforestation, in the arid and semi-arid regions of China.     

中国可持续发展问题与土地利用/覆被变化研究

土地利用 /覆被变化 (LUCC)研究 ,已成为全球环境变化和可持续发展领域前沿的核心问题。中国是世界上人多地少、生态与环境问题较为突出的发展中国家 ,目前中国可持续发展所面临的许多问题 ,都与土地利用及其变化有着内在的、必然的联系。因此 ,面向可持续发展战略的实施 ,开展土地利用 /覆被变化的系统研究 ,具有重要的科学价值与战略意义。本文重点对土地利用 /覆被变化与可持续发展重点问题的关系 ,以及面向可持续发展问题的LUCC研究目标、主要内容和技术方法等进行了讨论     

1980-2010年安徽省土壤有机碳密度及储量时空变化分析

利用安徽省第二次土壤普查资料和2010-2011年土壤调查数据,运用GIS技术,研究1980-2010年安徽省表层（0~20 cm）和1 m土体中土壤有机碳（SOC）密度和储量的时空变化,并探讨土地利用变化对SOC储量变化的影响。研究表明：① 1980-2010年安徽省表层和1 m土体中SOC密度平均减少0.37 kg/m²和1.63 kg/m²,但耕地的SOC密度增加。② 1980-2010年,全省SOC密度空间变化呈现北增南减的趋势,且增加幅度由北向南依次减小。表层和1 m土体的SOC密度增加的面积为56.97%和58.21%。③ 1980-2010年,全省表层SOC储量减少34.23×10⁹ kg,1 m土体中SOC储量减少197.26×10⁹ kg。淮北平原、江淮丘陵岗地和沿江平原的SOC储量增加,皖西大别山区和皖南丘陵山区减少。④ 非耕地转换为耕地,比保持用地类型不变或变为其他非耕地类型,SOC密度和储量减少较慢。耕地类型内部转换（水田和旱地间转换）比保持类型不变的SOC密度和储量增加较多。研究成果为区域土壤固碳潜力、土壤肥力变化等研究提供科学依据。     

Three-dimensional modelling of soil organic carbon density and carbon sequestration potential estimation in a dryland farming region of China

Soil organic carbon density(SOCD) and soil organic carbon sequestration potential(SOCP) play an important role in carbon cycle and mitigation of greenhouse gas emissions. However, the majority of studies focused on a two-dimensional scale, especially lacking of field measured data. We employed the interpolation method with gradient plane nodal function(GPNF) and Shepard(SPD) across a range of parameters to simulate SOCD with a 40 cm soil layer depth in a dryland farming region(DFR) of China. The SOCP was estimated using a carbon saturation model. Results demonstrated the GPNF method was proved to be more effective in simulating the spatial distribution of SOCD at the vertical magnification multiple and search point values of 3.0×10~6 and 25, respectively. The soil organic carbon storage(SOCS) of 40 cm and 20 cm soil layers were estimated as 22.28×10~(11) kg and 13.12×10~(11) kg simulated by GPNF method in DFR. The SOCP was estimated as 0.95×10~(11) kg considered as a carbon sink at the 20–40 cm soil layer. Furthermore, the SOCP was estimated as –2.49×10~(11) kg considered as a carbon source at the 0–20 cm soil layer. This research has important values for the scientific use of soil resources and the mitigation of greenhouse gas emissions.