Carbon stocks,sequestration, and emissions of wetlands in south eastern Australia

Nontidal wetlands are estimated to contribute significantly to the soil carbon pool across the globe. However, our understanding of the occurrence and variability of carbon storage between wetland types and across regions represents a major impediment to the ability of nations to include wetlands in greenhouse gas inventories and carbon offset initiatives. We performed a large‐scale survey of nontidal wetland soil carbon stocks and accretion rates from the state of Victoria in south‐eastern Australia—a region spanning 237,000 km² and containing >35,000 temperate, alpine, and semi‐arid wetlands. From an analysis of >1,600 samples across 103 wetlands, we found that alpine wetlands had the highest carbon stocks (290 ± 180 Mg C_org ha^?1), while permanent open freshwater wetlands and saline wetlands had the lowest carbon stocks (110 ± 120 and 60 ± 50 Mg C_org ha^?1, respectively). Permanent open freshwater sites sequestered on average three times more carbon per year over the last century than shallow freshwater marshes (2.50 ± 0.44 and 0.79 ± 0.45 Mg C_org ha^?1 year^?1, respectively). Using this data, we estimate that wetlands in Victoria have a soil carbon stock in the upper 1 m of 68 million tons of C_org, with an annual soil carbon sequestration rate of 3 million tons of CO₂ eq. year^?1—equivalent to the annual emissions of about 3% of the state's population. Since European settlement (~1834), drainage and loss of 260,530 ha of wetlands may have released between 20 and 75 million tons CO₂ equivalents (based on 27%–90% of soil carbon converted to CO₂). Overall, we show that despite substantial spatial variability within wetland types, some wetland types differ in their carbon stocks and sequestration rates. The duration of water inundation, plant community composition, and allochthonous carbon inputs likely play an important role in influencing variation in carbon storage.     

Blue Carbon Storage in Tropical Seagrass Meadows Relates to Carbonate Stock Dynamics,Plant–Sediment Processes,and Landscape Context: Insights from the Western Indian Ocean

Globally, seagrass ecosystems are considered major blue carbon sinks and thus indirect contributors to climate change mitigation. Quantitative estimates and multi-scale appraisals of sources that underlie long-term storage of sedimentary carbon are vital for understanding coastal carbon dynamics. Across a tropical–subtropical coastal continuum in the Western Indian Ocean, we estimated organic (C_org) and inorganic (C_carb) carbon stocks in seagrass sediment. Quantified levels and variability of the two carbon stocks were evaluated with regard to the relative importance of environmental attributes in terms of plant–sediment properties and landscape configuration. The explored seagrass habitats encompassed low to moderate levels of sedimentary C_org (ranging from 0.20 to 1.44% on average depending on species- and site-specific variability) but higher than unvegetated areas (ranging from 0.09 to 0.33% depending on site-specific variability), suggesting that some of the seagrass areas (at tropical Zanzibar in particular) are potentially important as carbon sinks. The amount of sedimentary inorganic carbon as carbonate (C_carb) clearly corresponded to C_org levels, and as carbonates may represent a carbon source, this could diminish the strength of seagrass sediments as carbon sinks in the region. Partial least squares modelling indicated that variations in sedimentary C_org and C_carb stocks in seagrass habitats were primarily predicted by sediment density (indicating a negative relationship with the content of carbon stocks) and landscape configuration (indicating a positive effect of seagrass meadow area, relative to the area of other major coastal habitats, on carbon stocks), while seagrass structural complexity also contributed, though to a lesser extent, to model performance. The findings suggest that accurate carbon sink assessments require an understanding of plant–sediment processes as well as better knowledge of how sedimentary carbon dynamics are driven by cross-habitat links and sink–source relationships in a scale-dependent landscape context, which should be a priority for carbon sink conservation.     

滇中退化山地不同植被恢复下土壤碳氮磷储量与生态化学计量特征

植被恢复对土壤营养元素的存赋及其生态化学计量特征的影响广受关注,为了深入了解不同植被恢复类型下土壤碳、氮、磷储量与生态化学计量特征,选择滇中地区退化山地飒马场流域具有代表性的4种不同修复阶段的典型植被(荒坡灌草丛、云南松林、针阔混交林和次生常绿阔叶林)为研究对象,分析了不同植被类型下不同深度土壤中有机碳(SOC)、全氮(TN)、全磷(TP)储量和化学计量变化特征。结果表明,退化山地的植被恢复显著改变土壤碳氮磷储存能力和化学计量比,这种改变作用整体上随土壤深度增加而降低。其中,在0—60 cm土层上,SOC储量在次生常绿阔叶林最高,达123.41 t/hm~2,其次是针阔混交林(115.69 t/hm~2)和云南松林(93.08 t/hm~2),荒坡灌草丛(89.56 t/hm~2)最低;TN储量针阔混交林(4.91 t/hm~2)次生常绿阔叶林(4.58 t/hm~2)云南松林(4.43 t/hm~2)荒坡灌草丛(3.98 t/hm~2),4种植被类型间差异显著;TP储量云南松林最高(2.57 t/hm~2),次生常绿阔叶林(2.2 t/hm~2)最低;4种植被类型下土壤C/N介于15.77—30.18,C/P介于29.24—65.33,N/P介于1.28—2.68之间,在0—60 cm土层上均以次生常绿阔叶林最高。植被类型和土壤深度及其交互作用显著影响研究区的SOC、TN和TP储量和化学计量比。分析认为,退化山地不同植被类型对土壤碳氮磷储量和化学计量的影响过程复杂,修复演替进入到次生常绿阔叶林阶段土壤理化性质显著提升,该地区植被修复主要受到氮的限制。研究表征了滇中退化环境植被恢复过程中土壤主要元素变化特征,为揭示植被恢复与土壤生态功能演变关系提供数据支持。     

Variability and Vulnerability of Coastal ‘Blue Carbon’ Stocks: A Case Study from Southeast Australia

‘Blue carbon’ ecosystems—seagrasses, tidal marshes, and mangroves—serve as dense carbon sinks important for reducing atmospheric greenhouse gas concentrations, yet only recently have stock estimates emerged. We sampled 96 blue carbon ecosystems across the Victorian coastline (southeast Australia) to quantify total sediment stocks, variability across spatial scales, and estimate emissions associated with historical ecosystem loss. Mean sediment organic carbon (C_org) stock (±SE) to a depth of 30 cm was not significantly different between tidal marshes (87.1 ± 4.90 Mg C_org ha^?1) and mangroves (65.6 ± 4.17 Mg C_org ha^?1), but was significantly lower in seagrasses (24.3 ± 1.82 Mg C_org ha^?1). Location (defined as an individual meadow, marsh, or forest) had a stronger relationship with C_org stock than catchment region, suggesting local-scale conditions drive variability of stocks more than regional-scale processes. We estimate over 2.90 million ± 199,000 Mg C_org in the top 30 cm of blue carbon sediments in Victoria (53% in tidal marshes, 36% in seagrasses, and 11% in mangroves) and sequestration rates of 22,700 ± 5510 Mg C_org year^?1 (valued at over $AUD1 million ± 245,000 year^?1 based on the average price of $AUD12.14 Mg CO₂ eq^?1 at Australian Emissions Reduction Fund auctions). We estimate ecosystem loss since European settlement may equate to emissions as high as 4.83 million ± 358,000 Mg CO₂ equivalents (assuming 90% remineralization of stocks), 98% of which was associated with tidal marsh loss, and what would have been sequestering 9360 ± 2500 Mg C_org year^?1. This study is among the first to present a comprehensive comparison of sediment stocks across and within coastal blue carbon ecosystems. We estimate substantial and valuable carbon stocks associated with these ecosystems that have suffered considerable losses in the past and need protection into the future to maintain their role as carbon sinks.     

Seagrass losses since mid‐20th century fuelled CO2 emissions from soil carbon stocks

Seagrass meadows store globally significant organic carbon (C_org) stocks which, if disturbed, can lead to CO₂ emissions, contributing to climate change. Eutrophication and thermal stress continue to be a major cause of seagrass decline worldwide, but the associated CO₂ emissions remain poorly understood. This study presents comprehensive estimates of seagrass soil C_org erosion following eutrophication‐driven seagrass loss in Cockburn Sound (23 km² between 1960s and 1990s) and identifies the main drivers. We estimate that shallow seagrass meadows (<5 m depth) had significantly higher C_org stocks in 50 cm thick soils (4.5 ± 0.7 kg C_org/m²) than previously vegetated counterparts (0.5 ± 0.1 kg C_org/m²). In deeper areas (>5 m), however, soil C_org stocks in seagrass and bare but previously vegetated areas were not significantly different (2.6 ± 0.3 and 3.0 ± 0.6 kg C_org/m², respectively). The soil C_org sequestration capacity prevailed in shallow and deep vegetated areas (55 ± 11 and 21 ± 7 g C_org m^?2 year^?1, respectively), but was lost in bare areas. We identified that seagrass canopy loss alone does not necessarily drive changes in soil C_org but, when combined with high hydrodynamic energy, significant erosion occurred. Our estimates point at ~0.20 m/s as the critical shear velocity threshold causing soil C_org erosion. We estimate, from field studies and satellite imagery, that soil C_org erosion (within the top 50 cm) following seagrass loss likely resulted in cumulative emissions of 0.06–0.14 Tg CO_2‐eq over the last 40 years in Cockburn Sound. We estimated that indirect impacts (i.e. eutrophication, thermal stress and light stress) causing the loss of ~161,150 ha of seagrasses in Australia, likely resulted in the release of 11–21 Tg CO_2‐eq since the 1950s, increasing cumulative CO₂ emissions from land‐use change in Australia by 1.1%–2.3% per annum. The patterns described serve as a baseline to estimate potential CO₂ emissions following disturbance of seagrass meadows.     

Incomplete recovery of ecosystem processes after two decades of riparian forest restoration

Restoration of ecosystem processes such as carbon storage and nutrient cycling may lag behind the restoration of structural attributes of ecosystems, such as species richness and biomass. We used a replicated chronosequence of reforested sites on the Sacramento River floodplain to ask if ecosystem processes had reached functional equivalence with nearby remnant forest patches. We found that live and dead biomass pools had mostly recovered to remnant forest levels within two decades of replanting, but soil carbon and nitrogen stocks, rates of CO₂ efflux, N availability, and nutrient‐use efficiency still differed significantly between restored and remnant forests. Reforested sites are thus still functionally distinct from remnants despite similarities of vegetation structure.     

广西主要森林植被碳储量及其影响因素

广西森林面积和覆盖率位居全国前列,在全国和区域碳平衡中起着至关重要的作用。正确评价广西森林植被碳储量、碳储量的时空格局及其影响因素对我国碳循环及碳汇研究具有十分重要的意义。为阐明广西森林植被碳储量分布格局及其主要影响因素,基于广西10类主要森林类型345个样地的调查,结合森林资源清查资料,估算广西主要森林植被碳储量,探讨广西不同森林类型、不同龄组、不同层次的碳储量组成与分配。采用地统计学方法描绘了植被碳密度空间分布,并采用主成分分析方法和回归分析方法分析了植被碳储量的影响因素。结果表明:广西主要森林植被总碳储量达到746.06 Tg(1Tg=10~(12) g),平均碳密度为55.37 t/hm~2,松树、杉木、桉树、栎类、软阔、硬阔、石山林、竹林、八角和油茶林对广西植被碳储量的贡献比例分别为26.83%、12.28%、6.67%、3.03%、20.37%、16.32%、10.84%、0.88%、1.38%和1.39%。各森林类型植被碳密度介于20.77—108.28 t/hm~2,大小顺序为硬阔软阔松树杉木栎类石山林桉树八角竹林油茶。广西区森林植被碳密度在7.05—219.73 t/hm~2之间,总体表现为广西北部、西南部和广西东部存在高值区,广西中部和东南部有明显的低值区。碳储量以乔木层占优势,且随林龄增大呈逐渐增加的趋势。影响广西植被碳储量的主控因子是平均胸径、林龄和林分密度,经度、碱解氮、全氮、有机碳是影响碳储量的关键因子。     

Ecosystem carbon stocks of mangrove forests along the Pacific and Caribbean coasts of Honduras

Among the many ecosystem services provided by mangrove ecosystems, their role in carbon (C) sequestration and storage is quite high compared to other tropical forests. Mangrove forests occupy less than 1 % of tropical forested areas but account for approximately 3 % of global carbon sequestration by tropical forests. Yet there remain many areas where little data on the size and variation of mangrove C stocks exist. To address this gap and examine the range of C stocks in mangroves at landscape scales, we quantified C stocks of Honduran mangroves along the Pacific and Caribbean coasts and the Bay Islands. We also examined differences in ecosystem C stocks due to size and structure of mangrove vegetation found in Honduras. Ecosystem C stocks ranged from 570 Mg C ha^?1 in the Pacific coast to ~1000 Mg C ha^?1 in Caribbean coast and the Bay Islands. Ecosystem C stocks on the basis of mangrove structure were 1200, 800 and 900 Mg C ha^?1, in low, medium and tall mangroves, respectively. We did not find significant differences in ecosystem C stocks on the basis of location (Pacific coast, Caribbean coast and Bay Islands) or mangrove type (low, medium and tall). Mangrove soils represented the single largest pool of total C in these ecosystems, with 87, 81 and 94 % at the Pacific coast, Caribbean coast and the Bay Islands, respectively. While there were no significant differences in total ecosystem stocks among mangrove types, there were differences in where carbon is stored. Mangrove soils among low, medium and tall mangroves contained 99, 93 and 80 % of the total ecosystem C stocks. In addition, we found a small yet significant negative correlation between vegetation C pools and pore water salinity and pH at the sampled sites. Conversion of mangroves into other land use types such as aquaculture or agriculture could result in loses of these soil C reserves due to mineralization and oxidation. Coupled with their other ecosystem services, an understanding of the size of mangrove ecosystem C stocks underscores their values in the formulation of conservation and climate change mitigation strategies in Central America.     

Does Nutrient Availability Regulate Seagrass Response to Elevated CO<Subscript>2</Subscript>?

Future increases in oceanic carbon dioxide concentrations (CO_2(aq)) may provide a benefit to submerged plants by alleviating photosynthetic carbon limitation. However, other environmental factors (for example, nutrient availability) may alter how seagrasses respond to CO_2(aq) by regulating the supply of additional resources required to support growth. Thus, questions remain in regard to how other factors influence CO_2(aq) effects on submerged vegetation. This study factorially manipulated CO_2(aq) and nutrient availability, in situ, within a subtropical seagrass bed for 350 days, and examined treatment effects on leaf productivity, shoot density, above- and belowground biomass, nutrient content, carbohydrate storage, and sediment organic carbon (C_org). Clear, open-top chambers were used to replicate CO_2(aq) forecasts for the year 2100, whereas nutrient availability was manipulated via sediment amendments of nitrogen (N) and phosphorus (P) fertilizer. We provide modest evidence of a CO₂ effect, which increased seagrass aboveground biomass. CO_2(aq) enrichment had no effect on nutrient content, carbohydrate storage, or sediment C_org content. Nutrient addition increased leaf productivity and leaf N content, however did not alter above- or belowground biomass, shoot density, carbohydrate storage, or C_org content. Treatment interactions were not significant, and thus NP availability did not influence seagrass responses to elevated CO_2(aq). This study demonstrates that long-term carbon enrichment may alter the structure of shallow seagrass meadows, even in relatively nutrient-poor, oligotrophic systems.     

Distributed GIS for estimation of soil carbon stock of West Siberia boreal zone

Distributed GIS developed to assess the soil carbon stocks (SOC) includes digital maps “Vegetation” and “Soil” of boreal zone of West Siberia, middle-scale soil maps of the key sites of landscape provinces that have been created on the basis of interpretation of satellite images, and the software for updating and management of the database “Carbon in soils of Siberia”. According to preliminary estimates the resources of C_org in the soil of the boreal zone is 83.6 × 10⁸ t, which is 28.2% of the resources of C_org in soils of Russia or 15.2% of global carbon pool.     

南方红壤典型水土流失区马尾松林地上林木碳储量的遥感监测——以长汀县河田镇为例

森林碳储量动态变化对揭示区域水土流失治理成效具有重要指示意义。以长汀县河田镇为例,2017年随机设置34个马尾松林样本作为建模集,分别与同期Landsat影像的原始波段、植被指数及主成分因子进行回归分析,构建马尾松（（Pinus massoniana））林地上林木碳储量的最佳反演模型,基于伪不变特征原理的线性归一化法实现该模型在2003、2010年影像上的适用性校正转换,实现研究区2003、2010、2017年马尾松林地上林木碳储量的反演及时空分异特征的研究。结果表明：研究区2017年马尾松林地上林木碳储量最佳遥感反演模型是以绿色植被指数（GNDVI）为自变量构建的指数模型：C₂₀₁₇=0.006e^{14.357GNDVI₂₀₁₇},该模型拟合的决定系数为0.57,平均相对精度为82.19%;2003年、2010年马尾松林地上林木碳储量遥感估测模型为：C₂₀₀₃=0.006e^{（16.4086GNDVI₂₀₀₃+1.1428）}、C₂₀₁₀=0.006e^{（15.1677GNDVI₂₀₁₀+1.5821）},两期校正模型的决定系数均在0.85以上;2003、2010及2017年碳储量分别为8.24 t/hm²、11.34t/hm²、16.14 t/hm²,整体呈上升趋势;地上林木碳储量随海拔、坡度的升高而增加,向阳坡地上林木碳储量高于背阴坡;碳储量增长率随海拔、坡度的升高而降低,背阴坡碳储量增长率高于向阳坡。     

Habitat loss of floodplain meadows in north Germany since the 1950s

Floodplain meadows are severely threatened by land use change and intensification in Central Europe. This study investigates quantitative and qualitative changes in the vegetation of wet and species-rich mesic meadows in the floodplains of north Germany since the 1950s, considering their spatial extent, fragmentation, and replacement by other land use types. Historical high-resolution vegetation maps were compared with recent vegetation surveys in seven study regions (six unprotected areas, one protected reference area) in former West and East Germany. The unprotected sites showed alarming losses in wet and species-rich mesic meadows in the past 50 years (>80%). Wet meadows were substituted by species-poor, intensively managed grasslands (26–60% of the former area), arable fields (0–47%) or set-asides (2–33%). Species-rich mesic meadows were transformed to arable fields (42–72%) or species-poor, intensively managed meadows (14–72%). Decreases in effective mesh size and patch size indicated increasing fragmentation of wet meadows, whilst changes in landscape structure were less consistent in mesic meadows. Only slight changes in the protected floodplain study area indicate that landscape change is mostly caused by local effects such as fertilisation and drainage, but not by general trends such as atmospheric N deposition or climate warming. Despite the contrasting political systems in West and East Germany with different agroeconomic frames, all unprotected study areas showed similar losses and increasing fragmentation of floodplain meadows, which may negatively influence the natural dynamics of, and the gene flow between, meadow plant populations. We conclude that floodplain meadows in north Germany urgently call for high-priority conservation measures.     

Biodiversity in species,traits, and structure determines carbon stocks and uptake in tropical forests

Impacts of climate change require that society urgently develops ways to reduce amounts of carbon in the atmosphere. Tropical forests present an important opportunity, as they take up and store large amounts of carbon. It is often suggested that forests with high biodiversity have large stocks and high rates of carbon uptake. Evidence is, however, scattered across geographic areas and scales, and it remains unclear whether biodiversity is just a co‐benefit or also a requirement for the maintenance of carbon stocks and uptake. Here, we perform a quantitative review of empirical studies that analyzed the relationships between plant biodiversity attributes and carbon stocks and carbon uptake in tropical forests. Our results show that biodiversity attributes related to species, traits or structure significantly affect carbon stocks or uptake in 64% of the evaluated relationships. Average vegetation attributes (community‐mean traits and structural attributes) are more important for carbon stocks, whereas variability in vegetation attributes (i.e., taxonomic diversity) is important for both carbon stocks and uptake. Thus, different attributes of biodiversity have complementary effects on carbon stocks and uptake. These biodiversity effects tend to be more often significant in mature forests at broad spatial scales than in disturbed forests at local spatial scales. Biodiversity effects are also more often significant when confounding variables are not included in the analyses, highlighting the importance of performing a comprehensive analysis that adequately accounts for environmental drivers. In summary, biodiversity is not only a co‐benefit, but also a requirement for short‐ and long‐term maintenance of carbon stocks and enhancement of uptake. Climate change policies should therefore include the maintenance of multiple attributes of biodiversity as an essential requirement to achieve long‐term climate change mitigation goals.     

白洋淀湿地区土壤有机碳密度及储量的空间分布特征

湿地生态系统碳储量是陆地生态系统碳循环的重要组成部分,提供重要的生态系统服务功能。白洋淀湿地是国家重要生态湿地和华北平原最大的淡水湿地,同时是雄安新区的核心水系,湿地区土壤碳储量的估算研究将为湿地生态系统服务评估和湿地生态恢复提供数据支撑。研究通过对白洋淀湿地7种不同地类的105个土壤剖面进行分层取样,揭示了其湿地土壤有机碳密度及储量的空间分布特征,结果表明：（1）白洋淀湿地区土壤有机碳含量整体偏低,在各层土壤中,淹水芦苇湿地的有机碳含量均显著高于其他植被类型,约为其他类型土壤碳含量的3倍左右。（2）在各植被类型中土壤有机碳含量均以表层（0-20 cm）最高,其分配比例均集中在30%左右,随着土壤剖面深度的增加,湿地土壤的有机碳含量逐渐减少。（3）不同植被类型土壤有机碳含量与土壤有机碳密度的差异显著,具体表现为：乔木园地 < 旱地 < 常绿针叶林 < 落叶阔叶林 < 水田 < 台田芦苇 < 淹水芦苇。（4）根据估算,白洋淀湿地区的土壤有机碳储量约为5816.77×10³Mg。随着雄安新区环境治理工作的推进,白洋淀湿地区生态系统固碳将呈现持续向好态势,结合生态恢复和土地布局优化,尽量减少雄安新区建设中土地流转带来的碳排放影响,对提高区域生态效益具有重要意义。     

Vegetation structure and greenness in Central Africa from Modis multi-temporal data

African forests within the Congo Basin are generally mapped at a regional scale as broad-leaved evergreen forests, with the main distinction being between terra-firme and swamp forest types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organization and their relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified 22 vegetation types (six savannas, two swamp forests, 14 forest types) improving existing vegetation maps. Among forest types, we showed strong variations in stand structure and deciduousness, identifying (i) two blocks of dense evergreen forests located in the western part of the study area and in the central part on sandy soils; (ii) semi-deciduous forests are located in the Sangha River interval which has experienced past fragmentation and human activities. For all vegetation types enhanced vegetation index profiles were highly seasonal and strongly correlated to rainfall and to a lesser extent, to light regimes. These results are of importance to predict spatial variations of carbon stocks and fluxes, because evergreen/deciduous forests (i) have contrasted annual dynamics of photosynthetic activity and foliar water content and (ii) differ in community dynamics and ecosystem processes.     

植被恢复模式对石漠化生态系统碳储量的影响

为揭示石漠化生态系统碳储量对植被恢复模式的响应,在广西天等县中度石漠化山地,研究了吊丝竹纯林(Dendrocalamus minorD)、任豆纯林(Zenia insignis Z)、任豆、蚬木(Buerretiodendron hsienmu)和顶果木(Acrocarpus fraxinifolius)混交林(mixed plantation M),以及相应同龄封育林(D_(CK)、Z_(CK)、M_(CK))的碳储量。结果表明:人工林碳储量显著高于相应同龄封育林的碳储量,D、Z、M人工林碳储量分别为67.75、66.56、121.20 t/hm~2,而D_(CK)、Z_(CK)、M_(CK)封育林仅为49.75、52.89、60.86 t/hm~2。碳储量在乔木层、地被物层、土壤层分配排序因生态系统类型而异,如M:乔木层土壤层地被物层;D和Z:土壤层乔木层地被物层;D_(CK)、Z_(CK)和M_(CK):土壤层地被物层乔木层。此外,M、D、Z乔木层年平均碳储量差异显著,而封育林尚未形成乔木层,其植被碳储量则随封育时间的增加而提高,即M_(CK)Z_(CK)D_(CK)。可见,在中度石漠化山地,植被恢复模式显著影响生态系统碳储量及其分配。人工造林相对于封山育林更能快速促进植被恢复、形成乔木林,从而提高生态系统碳储量。     

Spatial Variability of Soil Properties in a Floodplain Forest in Northwest Spain

Floodplain forests are generally areas of high plant diversity compared with upland forests. Higher environmental heterogeneity, especially variation in belowground properties may help explain this high diversity. However, there is little information available on the spatial scale and pattern of belowground resources in floodplain forests. Geostatistics and coefficient of variation (CV) were used to describe the spatial variability of 20 soil properties ranging from essential plant nutrients, such as NH₄ or PO₄, to nonessential elements like Ti or V. The spatial variation of Si-to-(Al + Fe) ratio, an index of soil development, was also analyzed. Semivariograms and maps of selected properties were used to discriminate between the effect of flooding (and other mechanisms that may contribute to large scale trends in data) and local heterogeneity. The hypothesis that elements mainly cycled through biological processes (such as N) show different spatial properties than elements cycled through both biological and geological processes (such as P) or elements under strict geological control (such as Ti or V) is also presented. Redox potential was the most variable property (CV = 1.35) followed by mineral N, phosphate, organic matter, and carbon. Nonessential elements for organisms such as Si, Al, Ti, Rh, or V were less variable, supporting the hypothesis that biological control on soil properties leads to higher spatial variability. The range (the average distance within which the samples correlate spatially) varied between 3.89 m for water content to 18.5 m for the Si-to-(Al + Fe) ratio. The proportion of the total variance that can be modeled as spatial dependence (structural variance) was very variable, ranging between 0.34 for Fe and 0.96 for K. The addition of the large trend had a strong influence on the CV of most soil variables and created a gradient in C accumulation and the mineral weathering rate. The results suggest that flooding and other processes that are responsible for large spatial trends in the floodplain forest differentially affect biologically and geologically controlled variables with different turnover rates, thus providing a heterogeneous edaphic environment.     

Land use–related Changes in Aboveground Carbon Stocks of Austria’s Terrestrial Ecosystems

Land-use changes considerably alter the patterns and processes of terrestrial ecosystems. In an attempt to assess the impact of the human domination of ecosystems, this study quantifies the effect of human activities on aboveground carbon stocks in vegetation, based on a comparison of potential and actual vegetation in Austria. Following an accounting approach, statistical and GIS data on vegetation, elevation, land use, biomass harvest, as well as forest inventories and real estate statistics, were entered into the assessment, which was performed at the level of municipalities (n = 2,350). The results show that aboveground carbon storage in Austria has been considerably reduced by human activities. Actual vegetation contains 64% less carbon than would be expected in potential vegetation. The conversion of forests to cropland, grasslands, and urban areas has contributed 77% to this reduction in carbon stocks, the remaining 23% is due to forest management. In Austria, aboveground carbon stocks in forests have been reduced by 30% due to reductions in stand age and changes in forest species composition. Placing the data in a historical context, this analysis suggests that the current terrestrial carbon sink is a reversal of past carbon losses.     

Seasonally flooded,and terra firme in northern Congo: Insights on their structure,diversity and biomass

In the Congo basin, considerable uncertainty remains about the amount and spatial variation of carbon stocks. We studied two types of seasonally flooded forests (dominated by Guibourtia demeusei and Lophira alata) and nearby terra firme forests in northern Congo. We sampled 1.25 ha per forest type and a total of 1,400 trees ≥5 cm diameter. AGB ranged from 207–343 Mg/ha, with no significant differences between forest types. Few significant differences were observed in vegetation structure or tree diversity between forest types. Species richness and stem density of small trees were lower, and dominance was higher in Guibourtia plots, which are subject to greater flooding than Lophira plots. Guibourtia was absent from smaller diameter class in Guibourtia forests; and Uapaca spp. were more abundant in terra firme than in seasonally flooded plots. We show that both types of seasonally flooded forests store important quantities of AGB and should also be considered in forest conservation programmes. We recommend more research on seasonally flooded forests, on larger geographical extent, which assesses flood depth and duration, and measures tree height in the field, as we took a conservative approach to AGB estimates, and AGB could be even greater than we report here.     

Forest carbon storage along the north-south transect of eastern China: Spatial patterns,allocation, and influencing factors

Forests play an important role in sequestrating atmospheric CO₂; therefore, understanding the spatial variations and controlling mechanisms of forest carbon (C) storage is important. In this study, we collected data on forest C storage along a north-south transect of eastern China from literature published between 2004 and 2014. The collected data, which were from over 2000 plots, allowed us to explore the latitudinal patterns in forest C storage. The results showed that vegetation C storage decreased with increasing latitude, while soil C storage increased. This spatial pattern of vegetation C storage was more apparent for mature forests (forest age > 80 years). Furthermore, latitudinal patterns in forest C storage, both in vegetation and in soil, became stronger with increasing statistical scale, increasing from plot scale to latitudinal scale (2–5°). However, total forest C storage (vegetation + soil) had no apparent latitudinal pattern. Interestingly, the allocation ratios of forest C storage between vegetation and soil had a negative logarithmic relationship with latitude. These results suggest that in eastern China, climatic factors control latitudinal patterns in the forest C storage of vegetation and soil, albeit in different ways (positive for vegetation and negative for soil), and also control the allocation ratios of forest C storage between vegetation and soil. Furthermore, the latitudinal patterns of forest C storage were opposite for vegetation and soil, resulting from the different climatic controlling mechanism.