福建长汀河田盆地的马尾松林碳储量时空动态变化

以福建省长汀县侵蚀退化严重的河田盆地为例,重点研究该区水土流失生态修复的主要树种——马尾松林的碳储量动态变化.通过2011年的野外样地调查获得了马尾松林的实测数据,并将其与同期SPOT5影像对应样地改进的归一化植被指数(MNDVI)数据进行回归分析,建立了河田盆地2011年马尾松林碳储量的反演模型.进一步通过不变特征法对所获得的2011年模型进行校正,使其能够推广应用于2004年和2009年的马尾松林碳储量反演,以揭示河田盆地马尾松林碳储量在2004—2011年间的时空变化.研究结果表明,这期间河田盆地马尾松林的总碳储量和碳密度均呈逐步上升的趋势:总碳储量由2004年的9.28×105 t增加到2011年的12.49×105 t,碳密度由27.31×10-4 t/m2增加到35.84×10-4 t/m2,总的说明该区马尾松林的碳汇能力在这期间有了明显的增加,而且在2009—2011年间表现得更为明显.      

Forest biomass carbon dynamics (1980–2009) in western Himalaya in the context of REDD+ policy

Carbon emissions from forests have decreased in the past decade due to conservation efforts, however majority of carbon losses suffered in the past went unnoticed until the role of forests in mitigating climate change was realized. Forestry sector in developing countries is recognized as one of the largest and low cost mitigation options to address climate change. The present study was conducted to assess the multi-temporal biomass carbon mitigation in the temperate forests of western Himalaya using satellite (Landsat MSS, TM, ETM+) and forest inventory data. Forest type density mapping was done through on-screen visual interpretation of satellite data. After conducting preliminary survey in 2009, 45 quadrats (0.1 ha) were laid in six forest types for collecting field inventory data viz., diameter at breast height, tree height, slope and aspect. Biomass carbon (t ha^?1) was estimated for different forest types with different crown densities (open with 10–40% crown density and closed with >40%) using recommended regression equations, ratios and factors. A decreasing trend of carbon (145.13–134.87 mt) was observed over the period of time. Temporal biomass carbon dynamics was analyzed for REDD+ opportunities. The temporal variation of carbon observed was found to be more useful for claiming benefits under negative options (deforestation and forest degradation) of REDD+. The study doesn’t take actual conversions to CO₂ into account. However, the findings are useful in establishing baseline emissions through temporal carbon losses. Further, the study helps in identification of location specific socio-economic drivers of losses that can be used for appropriate mitigation interventions.     

Deforested Mangroves Affect the Potential for Carbon Linkages between Connected Ecosystems

Mangrove forests are important sinks and sources of carbon especially for connections to coral reefs and seagrass beds. However, they are increasing under threat from anthropogenic influences. We investigated correlations between carbon fluxes from the sediment and water column in deforested and intact mangroves. Our findings show that deforestation has a negative effect on sediment organic carbon storage and CO₂ fluxes. However, species richness and density showed a positive correlation with sediment organic carbon storage and CO₂ fluxes. An increased density of saplings showed a positive relationship with dissolved inorganic and organic carbon draining the mangrove forest at high tide. This research offers insights into the importance of the key forest characteristics influencing the storage and fluxes of carbon. Alterations in mangrove carbon stocks and retention may affect connected ecosystems.     

碳中和愿景下森林碳汇评估方法和固碳潜力预估研究进展

碳中和愿景下,加强森林的固碳增汇功能是抵消和吸纳碳排放最经济和最有效的途径。精准评估森林碳汇和预估森林固碳潜力,有助于量化森林在应对气候变化和实现碳中和愿景中的贡献。然而,森林分布的广泛性、森林生态系统结构的复杂性以及评估数据的代表性不够和方法学的差异性,造成森林碳汇评估的结果普遍存在精度低、不确定性高的问题。在界定森林碳储量、碳汇和固碳潜力等基本概念后,从森林定义、评估时空尺度、碳库选择及其基本方法等方面阐述了森林碳汇评估的方法,分析各类方法的主要特征、主要问题、优势和不足; 基于面积和生长假设情景,回顾了森林固碳潜力预估方法,重点分析了近10 a中国森林固碳潜力研究成果,预估到2030年和2060年,中国森林植被的年固碳潜力分别可达1.69亿t/a和1.48亿t/a左右的水平。最后,探讨了森林碳汇评估方法和固碳潜力预估的未来发展趋势,为不同时空尺度下森林碳汇评估和固碳潜力预估提供参考。     

敦煌西湖荒漠-湿地生态系统植被与土壤水分空间异质性研究

基于敦煌西湖荒漠-湿地生态系统植被与土壤特性调查, 采用地统计学方法, 研究了敦煌西湖荒漠-湿地生态系统的土壤水分和植被的空间变异特征. 结果表明: 研究区植被盖度、高度和多度的平均值分别为36.14%、80.42 cm和0.66株·m², 变异系数依次为117.52%、124.63%和36.50%, 植被盖度和高度均为高度变异, 植被多度为中等变异; 0~200 cm土层各层土壤湿度平均值为14.873%, 介于6.681%~ 23.004%, 变异系数介于39.28%~88.65%. 200 cm土层水分贮量平均值为163.598 mm, 变异系数为36.51%, 0~200 cm土层各层土壤湿度和2 m土层水分贮量均为中等变异. 植被特征与土壤特性各要素的基台值(C₀+C)介于0.112~0.549, 结构比介于76.6%~97.6%, 各变量具有较强的空间自相关性. 研究区植被型组由盐池湾向南呈沼泽→盐沼→草甸→阔叶林→荒漠演变过程, 植被特征与土壤特性在样带空间分布上具有明显的规律性, 且存在较强的空间自相关性和格局.     

Study on Distribution Characteristics of Modern Agricultural Function of Basins in Guizhou,China

Agricultural modernization is the engine of rural development. Guizhou's landforms are mainly mountainous and hilly areas and there are few basins that are conducive to the development of modern agriculture. Therefore, the study of the modern agricultural function distribution of basins can provide scientific reference for the adjustment of Guizhou's agricultural industrial structure. This research used ArcGIS 10.2 to interpret the high-definition remote sensing images from 2016 to identify modern agricultural functional plots and modern agricultural functional basins in Guizhou Province, and used kernel density and bivariate local spatial autocorrelation to analyze the spatial distribution characteristics of the plots and basins, and the local spatial autocorrelation between the plots and the basins. The results show that: i. The area and number of modern agricultural functional plots in Zunyi Municipality, Qian Nan Buyi and Miao Autonomous Prefecture, and Bijie Municipality are all within the first three columns in the whole province, and the spatial autocorrelation between plot and basin area is the strongest; ii. The basins form a high-density core area at the intersection of Bozhou District and Honghuagang District in Zunyi Municipality. The plots form a high-density core area at the intersection of Huishui County, Changshun County, Pingba District and Huaxi District; iii. There is a strong positive correlation between the area of the plots and the area of the basins; iv. The proportion of the plot in the basin is mainly between 0 and 10%.     

香溪河流域土壤有机碳储量影响因素的空间相关性分析

采用第二次土壤普查资料估算了香溪河流域不同类型土壤的有机碳密度和碳库,并通过野外土样采集和室内测试获取土壤有机碳含量数据,选取信息熵模型定量研究香溪河流域不同土壤类型、地形地貌类型、成土母质类型、植被覆盖度、土壤厚度、坡度和土地利用方式与土壤有机碳密度之间的关系。研究结果表明,香溪河流域土壤有机碳总储量为75.18Tg,香溪河流域SOC密度主要集中在6.00~16.00kg/m2范围内,SOC密度呈现流域北部高、干流高,其他区域SOC密度高低相间的分布特征,这种分布特征与主要土壤类型和地形地貌类型的地理分布关系密切。香溪河流域各种土壤类型对各级有机碳密度的信息熵值差异明显,土壤类型对有机碳密度的影响作用与香溪河流域土壤有机碳密度与碳库计算结果一致,高山区,林地、农田和灌丛利于高密度有机碳的存储;植被覆盖度越高,越利于有机碳的存储;土壤厚度与有机碳密度的相关性高,而坡度与有机碳密度的相关性不明显;信息熵法实现了对各影响因子定量计算分析,结果较合理和可靠。      

A GIS-based study toward forecast of suburban forest change

At a time when the concept of ‘human and environmental symbiosis’ has taken on much significance, protection of suburban forests (i.e. forests adjacent to or near developed areas) is a topic that has drawn much attention. Suburban forests have, since ancient times, been places where people have gathered firewood and cultured trees. As a result, the vegetation of suburban forests is only partially natural and continues to change as the forms of human activity in and around them changes. Accurate forecasts of how suburban forests will change are, therefore, an important element in the debate over how to protect them. In this study, a suburban forest was analyzed with laser radar sensing, multi-spectrum scanning, digital photogrammetry analysis, aerial photograph interpretation, and a field survey. Data gathered using these techniques were compiled on a GIS to forecast future changes in the forest. Aerial photographs taken over the past 50 years were analyzed to illuminate changes in the forest over that period. Specifically, comparisons of precise Digital Elevation Models (DEMs) measured by using digital photogrammetry workstations made it possible to estimate growth in forest height. The possible future conversion of such results to estimates of amounts of carbon dioxide consolidated by forests should be very significant for discussions of global environmental problems. This revised version was published online in July 2006 with corrections to the Cover Date.     

2001—2019年横断山区积雪时空变化及其影响因素分析

基于MOD10A2积雪产品提取横断山区积雪日数及积雪覆盖率等信息,结合横断山区129个地面气象站点的气象数据,采用趋势分析、相关分析及随机森林回归模型等方法分析了横断山区积雪时空分布特征及其影响因素。结果表明：年平均积雪覆盖率的年际变化呈不显著的下降趋势;年内变化呈“单峰”型曲线,其中3月积雪覆盖率最大,为55.04%。海拔3 000 m以上的积雪覆盖率较为稳定,海拔1 000~3 000 m之间的积雪覆盖率波动较大。受暖湿气流和地形影响,阴坡积雪覆盖率大于阳坡。横断山区积雪日数的分布具有纬度地带性,北部山区积雪分布广泛且积雪日数高,南部云贵高原积雪日数低。年均积雪日数介于55.16~79.47 d,积雪日数在28.46%的地区呈减少趋势,在21.66%的地区呈增加趋势,其中呈显著减少和显著增加的地区分别为2.65%和0.68%。中部康定市、九龙县及其周边地区减少趋势明显,北部杂多县—若尔盖县一线的高海拔山地增加趋势明显。积雪日数整体上与降水量、相对湿度呈正相关,与风速、气温和日照时数呈负相关。与降水量呈显著正相关的地区主要分布在西北部杂多县、称多县;与风速呈显著负相关的地区主要分布在西北部称多县、中部康定市;与气温呈显著负相关的地区主要分布在中部九龙县、西北部称多县;与相对湿度呈显著正相关的地区主要分布在北部杂多县—石渠县一线;与日照时数呈显著负相关的地区主要分布在东北部玛曲县、西北部称多县。积雪日数受气温和高程的影响最大,而日照时数和风速为次要因素。     

Low carbon storage of woody debris in a karst forest in southwestern China

The properties of woody debris (WD) vary across different forests under various soil conditions. Owing to the relatively shallow and low amounts of soils on karst terrains, it is necessary to determine the WD carbon inventory of karst forests. In this study, we recorded WD with a basal diameter for standing snags and the large-end diameter for fallen logs of ≥ 1 cm. The carbon density of WD in a secondary karst mixed evergreen and deciduous broad-leaved forest that had been clear-cut 55 years ago in southwestern China were inventoried in a 2 ha plot. Woody debris carbon density calculated using specific gravity and carbon concentration was 4.07 Mg C ha⁻¹. Woody debris with diameters ≥ 10 cm (coarse WD) constituted 53.8% of total carbon storage whereas WD < 10 cm in diameters (fine WD) accounted for more pieces of WD (89.9%). Lithocarpus confinis contributed the most WD carbon (26.5%). Intermediate decayed WD was relatively more abundant, but WD with final decay contributed the least to the total pieces of WD (6.7%). The contribution of WD to carbon storage of karst forest was low compared to other forests worldwide. Significant positive correlations were found between WD carbon and biodiversity (R² = 0.035, p < 0.01) and elevation (R² = 0.047, p < 0.01) and negative correlations was found in outcrop coverage (R² = 0.034, p < 0.01). Further studies are needed to elucidate the ecological functions of WD to better understand their roles in maintaining biodiversity, enhancing productivity, and controlling vegetation degradation in karst forest ecosystems.

     

滨海湿地不同密度柽柳林土壤调蓄水功能

为探求黄河三角洲湿地土壤调蓄水功能的合理柽柳林密度,采用测量土壤入渗过程和水分物理参数相结合的方法,对不同密度柽柳林的土壤蓄水功能和水分调节能力进行研究。结果表明:①柽柳林随密度的增大具有显著提高细砂粒和降低粉黏粒含量的作用;中密度林分降盐抑碱效应明显,各密度林分表层盐碱含量低于20~40 cm土层;②土壤容重随林分密度增大表现为先减小后增大,孔隙度状况则与之相反,中密度、高密度、草地总孔隙度均值分别比低密度林分高12.9%、6.2%、4.4%;对表层的改良效果好于20~40 cm土层;③Horton模型可较好地模拟柽柳林的土壤入渗过程,中密度林分渗透性能最好,高密度次之,低密度最差;④饱和蓄水量、吸持蓄水量、滞留蓄水量及涵蓄降水量均表现为中密度>高密度>草地>低密度,表土层的水分调蓄功能好于下层;中密度、高密度、草地涵蓄降水量分别比低密度林分高28.4%、23.8%、14.1%。中密度柽柳林具有巨大的水分调蓄空间,其次为高密度,而低密度林分较差。     

Earth Observations based Conservation Prioritization in Western Ghats,India

Earth Observation with large suite of sensors and with capabilities to address natural resources at multiple scales has proven to be a critical resource in setting conservation priorities of a region. The role of earth observation data was recognized towards achieving international biodiversity targets by 2020. Ecosystem irreplaceability and ecosystem vulnerability are two concepts key to understanding and preparing conservation priority maps. This study presents spatial conservation prioritization analysis for forests of ‘Western Ghats biodiversity hotspot’. Earth observation data products have been used for prioritization of areas of irreplaceability and vulnerability that are significant for conservation planning. The spatial surrogates of biodiversity in terms of very dense forest, biological richness, intactness and rarity of habitat are analyzed for evaluation of ecosystem irreplaceability. Fragmentation, forest fires, plant invasion and disturbance index are surrogates included for spatial analysis of ecosystem vulnerability. Vegetation type wise analysis indicates dry deciduous forests are under high vulnerability, followed by moist deciduous forests. The high concentration of irreplaceability is observed in Shola followed by wet evergreen forests and semi-evergreen forests. Spatial prioritization approach has identified about 18% of the forest area as irreplaceable which represents overlapped area of very dense forest, shola, intact forest and high biological richness. We observed that the overlap of forest areas of irreplaceability with vulnerability in southern Western Ghats, which needs high priority of conservation. This study is the first of its kind wherein multi-source earth observation data has been analysed to examine the quantitative criteria at regional level in Western Ghats.     

土地利用对溶丘洼地土壤容重、水分和有机质空间异质性的影响——以南洞流域驻马哨洼地为例

为了探究溶丘洼地土壤空间异质性及其影响因素,本文以驻马哨溶丘洼地为研究对象,利用经典统计学和地统计学的方法,从不同土地利用、坡度、坡向、土壤深度分析土壤容重、水分及有机质的空间异质性。结果表明:（1）土壤有机质为强变异,变异系数为0.71,容重和水分变异系数分别为0.15、0.11,属中等变异,土壤容重和水分呈极显著负相关,和有机质呈显著负相关,相关系数分别为-0.609、-0.581;（2）块基比介于0.78~0.97,随机部分引起的空间变异程度较大,空间自相关较小,且模型拟合较好。（3）耕地土壤有机质、水分含量最低,容重最大,而灌木土壤反之;（4）北坡土壤容重高于南坡,变异系数小于南坡;而土壤水分、有机质低于南坡,变异系数高于南坡。从不同坡位、坡向的比较中,皆体现了土地利用对土壤空间异质性的影响。在土地利用作为主要因素的影响下,驻马哨洼地土壤水分、容重、有机质由随机部分引起的空间变异增加,空间自相关减小。      

The prehistoric and preindustrial deforestation of Europe

Humans have transformed Europe's landscapes since the establishment of the first agricultural societies in the mid-Holocene. The most important anthropogenic alteration of the natural environment was the clearing of forests to establish cropland and pasture, and the exploitation of forests for fuel wood and construction materials. While the archaeological and paleoecological record documents the time history of anthropogenic deforestation at numerous individual sites, to study the effect that prehistoric and preindustrial deforestation had on continental-scale carbon and water cycles we require spatially explicit maps of changing forest cover through time. Previous attempts to map preindustrial anthropogenic land use and land cover change addressed only the recent past, or relied on simplistic extrapolations of present day land use patterns to past conditions. In this study we created a very high resolution, annually resolved time series of anthropogenic deforestation in Europe over the past three millennia by 1) digitizing and synthesizing a database of population history for Europe and surrounding areas, 2) developing a model to simulate anthropogenic deforestation based on population density that handles technological progress, and 3) applying the database and model to a gridded dataset of land suitability for agriculture and pasture to simulate spatial and temporal trends in anthropogenic deforestation. Our model results provide reasonable estimations of deforestation in Europe when compared to historical accounts. We simulate extensive European deforestation at 1000 BC, implying that past attempts to quantify anthropogenic perturbation of the Holocene carbon cycle may have greatly underestimated early human impact on the climate system.     

Use of DEM data to monitor height changes due to deforestation

Deforestation has been a major cause of climate change and other environmental problems. An accurate estimation of the volume of deforested area is needed for United Nations Reducing Emissions from Deforestation and Forest Degradation (UN-REDD+) policies implementation and global carbon accounting. Accurate information about three-dimensional (3-D) structure of forests is required to quantify forest carbon stock. This study demonstrates the use of different digital elevation models (DEMs) to monitor changes in height due to deforestation in Cambodia to support climate change mitigation policies of UN-REDD+. The Shuttle Radar Topographic Mission-DEM (SRTM-DEM), Advanced Spaceborne Thermal Emission and Reflection Radiometer Global DEM (ASTER-GDEM) and Panchromatic Remote sensing Instrument for Stereo Mapping-Digital Surface Model (PRISM-DSM) data were calibrated using Ice Cloud and land Elevation Satellite Geoscience Laser Altimeter System (ICESat–GLAS) data. The results obtained from this study clearly indicate the changes in the height of forests due to deforestation activity. The height of cutover forest generated from the PRISM-DSM and SRTM-DEM is more reliable than that from the PRISM-DSM and ASTER-GDEM data. Field data has also been used to validate the height of the cutover forests, which shows ±5 m uncertainties in the estimation.     

Estimation of soil organic carbon storage and its fractions in a small karst watershed

With few available soil organic carbon (SOC) profiles and the heterogeneity of those that do exist, the estimation of SOC pools in karst areas is highly uncertain. Based on the spatial heterogeneity of SOC content of 23,536 samples in a karst watershed, a modified estimation method was determined for SOC storage that exclusively applies to karst areas. The method is a “soil-type method” based on revised calculation indexes for SOC storage. In the present study, the organic carbon contents of different soil types varied greatly, but generally decreased with increasing soil depth. The organic carbon content decreased nearly linearly to a depth of 0–50 cm and then varied at depths of 50–100 cm. Because of the large spatial variability in the karst area, we were able to determine that influences of the different indexes on the estimation of SOC storage decreased as follows: soil thickness > boulder content > rock fragment content > SOC content > bulk density. Using the modified formula, the SOC content in the Houzhai watershed in Puding was estimated to range from 3.53 to 5.44 kg m^?2, with an average value of 1.24 kg m^?2 to a depth of 20 cm, and from 4.44 to 14.50 kg m^?2, with an average value of 12.12 kg m^?2 to a depth of 100 cm. The total SOC content was estimated at 5.39 × 10⁵ t.     

Evidence of Dry and Cold Climatic Conditions at Glacial Times in Tropical Southeastern Brazil

Last-glacial paleoenvironments have been reconstructed from a pollen and charcoal record analyzed in organic sediments and dated between ca. 18,000 and >48,000¹⁴C yr B.P. The site is located near the village Catas Altas in the lower highland region of southeastern Brazil. The last-glacial landscape was covered by extensive areas of subtropical grasslands and small areas of gallery forests along the rivers, where tropical semideciduous forests and cerrado ecosystems exist today. The subtropical gallery forests were composed ofAraucariaforest trees such asAraucaria angustifolia, Podocarpus, Drimys, Ilex,andSymplocos.Paleofires were frequent. The record indicates that subtropical grassland vegetation, which today is found in patches on the highlands in southern Brazil (especially in the state of Santa Catarina), expanded from southern Brazil to southeastern Brazil, over a distance of more than 750 km, from latitudes of about 28° S to at least 20° S. The completely different last-glacial environment, in comparison to the present-day environment, reflects a dry and cold climate with strong frosts during the winter months. Temperatures of 5°–7°C below those of the present are inferred for the last glaciation.     

Spatial heterogeneity of soil organic matter and soil total nitrogen in a Mollisol watershed of Northeast China

The spatial heterogeneity of soil nutrients influences crop yield and the environment. Previous research has focused mainly on the surface layer, with little research being carried out on the deep soil layers, where high root density is highly related to crop growth. In the study, 610 soil samples were collected from 122 soil profiles (0–60 cm) in a random-sample method. Both geostatistics and traditional statistics were used to describe the spatial variability of soil organic matter (SOM) and total nitrogen (TN) deeper in the soil profile (0–60 cm) with high root density from a typical Mollisol watershed of Northeast China. Also, the SOM and TN in farmland and forest (field returned to forest over 10 years) areas was compared. The spatial autocorrelations of SOM at 0–50 cm depth and TN at 30–60 cm depth were strong, and were mainly influenced by structural factors. Compared to farmland, SOM and TN were typically lower in the 0–30 cm depth of the forest areas, while they were higher in the 30–60 cm depth. As well, both SOM and TN decreased from the 0–20 cm layer to the 30–40 cm layer, and then discontinues, while they continuously decreased with increasing soil depth in the farmland. SOM and TN were typically higher at the gently sloped summit of the watershed and part of the bottom of the slope than at mid-slope positions at the 0–30 cm depth. SOM and TN were lower on the back slope at the 30–60 cm depth, but were higher at the bottom of the slope. Also, the spatial distribution of the carbon storage and nitrogen storage were all highest at the bottom of the slope and part of the summit, while they were lowest in most of back slope in depth of 0–60 cm, and mainly caused by soil loss and deposition. SOM at 0–60 cm and TN at 0–40 cm greater than the sufficiency level for crop growth (3.7–79.2 and 0.09–3.09 g kg^?1, respectively) covered 99 % of the total area, yet for TN, over 35 % of the total area was less than the insufficiency level at the 40–60 cm depth. Generally, accurately predicting SOM and TN is nearly impossible when based only on soil loss by water, although the fact that variability is influenced by elevation, soil loss, deposition and steepness, was shown in this research. Nitrogen fertilizer and manure application were needed, especially in conjunction with conservation tillage in special conditions and specific areas such as the back slope, where soil loss was severe and the deep soil that lacked TN was exposed at the surface.     

山东半岛蓝色经济区土壤有机碳储量及固碳潜力分析

土壤碳储量研究在碳循环和全球变化中具有重要意义,但以往碳储量计算结果受到数据来源的制约。山东省多目标区域地球化学调查采用双层网格化采样和分析,获取了大密度、高精度土壤有机碳数据,为土壤碳库的准确计算奠定了基础。笔者利用这些数据计算了山东半岛蓝色经济区表层（0～20 cm）、中上层（0～100 cm）及全层（0～160 cm）的土壤有机碳（SOC）密度和储量,并对其空间分布特征及固碳潜力进行了研究。结果显示,经济区内3种土壤层次的碳库组成不同,表层SOC储量占总碳（TC）储量的71.67%,随深度增加所占比例逐渐减小,而无机碳(SIC)储量所占比例逐渐增加,全层二者所占比率较为接近:表层SOC储量为132.64 Mt,碳密度为2.06 kg/m²;中上层为458.27 Mt,碳密度为7.11 kg/m²;全层为619.96 Mt,碳密度为9.61 kg/m²。各层SOC密度处于全国偏低水平,且在不同土壤类型、地貌类型、土地利用类型之间有一定差异:褐土土表层SOC密度最高（2.48 kg/m²）,风沙土最低（0.91 kg/m²）;灌溉水田表层SOC密度最高（3.45 kg/m²）,菜地最低（1.61 kg/m²）。表层SOC密度分布总体上呈现为沿海地区低、鲁北平原和胶莱盆地中等、山地丘陵和中低山区偏高的分布格局。从第二次土壤普查和本次多目标调查数据所建立的回归方程分析发现,在今后一定时期内,本区表层土壤总体表现为“碳汇”效应,未来可净增总有机碳（TOC）量60.94 Mt,其中“碳源”量5.07 Mt,“碳汇”量65.97 Mt。     

喀斯特石漠化综合治理区表层土壤有机碳时空动态特征与趋势探讨

以中国南方喀斯特地区具有代表性的贵州为例,选取三个典型石漠化综合治理示范区,以2006年4月野外监测和2009年4月重复采样的数据为基础,分析喀斯特脆弱生态区实施石漠化综合治理工程的土壤有机碳时空动态特征和发展趋势。结果表明:经过3年的石漠化综合治理,不同等级石漠化样地表层土壤有机碳密度增幅不一,其中轻、中度石漠化样地提升幅度最大,无、潜在石漠化样地次之,强度石漠化样地最小;不同工程措施下表层土壤有机碳密度特征表现为:封山育林育草>退耕还林还草>坡改梯;增幅表现为:退耕还林还草>封山育林育草>坡改梯。石漠化治理过程中,随着轻度以上石漠化土地面积的减少,表土碳储量进一步增大,而且表层土壤有机碳多分布于潜在和无石漠化区。随着石漠化综合治理进程的推进,表土有机碳密度可能呈S型曲线增长,但由于潜在、无石漠化区多为基本农田,土壤有机碳密度将在较长时间内保持相对平稳的状态。而轻、中度石漠化样地在治理初期其表土有机碳密度增幅将最快。因此,采取有效的土地利用方式与加强可持续管理对提高表层土壤的固碳潜力具有非常重要的意义。