应用滤波方法提高高山松地上生物量遥感估测精度的研究

基于1987年、1992年、1997年、2002年、2007年、2012年分布在香格里拉市的34个高山松固定样地数据,以及Landsat时间序列数据集,利用谷歌地球引擎和Python,通过3种滤波算法对时间序列数据进行重构,应用随机森林算法对森林地上生物量进行估测,根据模型评价指标对重构前后时间序列数据的估测效果进行分析。结果表明：采用3种不同滤波方法重构的时间序列数据训练的非参数模型,其拟合精度和预测精度均高于滤波前时间序列的预测精度,整体均方根误差和相对均方根误差指标均优于滤波前数据,其中ARMIA方法最佳。应用滤波方法在一定程度消除了影像自身所携带的大量噪声和不确定性,有效地提高了数据质量,提高了高山松地上生物量遥感估测的精度。     

Microbial biomass and respiratory activity in soil aggregates of different sizes from three beechwood sites on a basalt hill

We studied the effects of aggregates of different sizes on the soil microbial biomass. The distribution of aggregate size classes (<2, 2–4, 4–10, >10 mm) in the upper mineral soil horizon (A_h layer) was very different in three sites (upper, intermediate, lower) in a beechwood (Fagus sylvatica) on a basalt hill (Germany). Aggregates of different sizes (<2, 2–4, 4–10 mm) contained different amounts of C and N but the C:N ratios were similar. C and N contents were generally higher in smaller aggregates. The maximum initial respiratory response by microorganisms in intact aggregates and in aggregates passed through a 1-mm sieve declined with the aggregate size, but the difference was more pronounced in intact aggregates. Disruption of aggregates generally increased this response, particularly in 4- to 10-mm aggregates in the lower site. Basal respiration differed strongly among sites, but was similar in each of the aggregate size classes. Aggregate size did not significantly affect the specific respiration (g O₂ g^–1 microbial C h^–1) nor the microbial: organic C ratio, but these parameters differed among sites. Microbial growth was increased strongly by passing the soil through a 1-mm sieve in each of the aggregate materials. The growth of microorganisms in disrupted aggregates was similar, and the effect of aggregate disruption depended on the growth of microorganisms in intact aggregates.     

Forest biomass and root–shoot allocation in northeast China

Temperate and boreal forests act as major sinks for atmospheric CO₂. To assess the magnitude and distribution of the sinks more precisely, an accurate estimation of forest biomass is required. However, the determinants of large-scale biomass pattern (especially root biomass) are still poorly understood for these forests in China. In this study, we used 515 field measurements of biomass across the northeast part of China, to examine factors affecting large-scale biomass pattern and root–shoot biomass allocation. Our results showed that, Picea & Abies forest and coniferous & broadleaf mixed forest had the highest mean biomass (178–202 Mg/ha), while Pinus sylvestris forest the lowest (78 Mg/ha). The root:shoot (R/S) biomass ratio ranged between 0.09 and 0.67 in northeast China, with an average of 0.27. Forest origin (primary/secondary/planted forest) explained 31–37% of variation in biomass (total, shoot and root), while climate explained only 8–15%, reflecting the strong effect of disturbance on forest biomass. Compared with shoot biomass, root biomass was less limited by precipitation as a result of biomass allocation change. R/S ratio was negatively related to water availability, shoot biomass, stand age, height and volume, suggesting significant effects of climate and ontogeny on biomass allocation. Root–shoot biomass relationships also differed significantly between natural and planted forests, and between broadleaf and coniferous forests. Shoot biomass, climate and forest origin were the most important predictors for root biomass, and together explained 83% of the variation. This model provided a better way for estimating root biomass than the R/S ratio method, which predicted root biomass with a R² of 0.71.     

Short term soil priming effects and the mineralisation of biochar following its incorporation to soils of different pH

The aim of this work was to determine the magnitude of the priming effect, i.e. short-term changes in the rate (negative or positive) of mineralisation of native soil organic carbon (C), following addition of biochars. The biochars were made from Miscanthus giganteus, a C4 plant, naturally enriched with ¹³C. The biochars were produced at 350 °C (biochar350) and 700 °C (biochar700) and applied with and without ryegrass as a substrate to a clay-loam soil at pH 3.7 and 7.6. A secondary aim was to determine the effect of ryegrass addition on the mineralisation of the two biochars.After 87 days, biochar350 addition caused priming effects equivalent to 250 and 319 μg CO₂-C g⁻¹ soil, in the low and high pH soil, respectively. The largest priming effects occurred at the start of the incubations. The size of the priming effect was decreased at higher biochar pyrolysis temperatures, which may be a way of controlling priming effects following biochar incorporation to soil, if desired. The priming effect was probably induced by the water soluble components of the biochar. At 87 days of incubation, 0.14% and 0.18% of biochar700 and 0.61% and 0.84% of biochar350 were mineralized in the low and high pH soil, respectively. Ryegrass addition gave an increased biochar350 mineralisation of 33% and 40%, and increased biochar700 at 137% and 70%, in the low and high pH soils, respectively. Certainly, on the basis of our results, if biochar is used to sequester carbon a priming effect may occur, increasing CO₂-C evolved from soil and decreasing soil organic C. However, this will be more than compensated for by the increased soil C caused by biochar incorporation. A similar conclusion holds for accelerated mineralisation of biochar due to incorporation of fresh labile substrates. We consider that our results are the first to unequivocally demonstrate the initiation, progress and termination of a true positive priming effect by biochar on native soil organic C.     

Analysis of the role of forest,biomass policy legislation and other factors that may affect the future of Kenya’s forests: Use of Japanese forestry as a model

Forests are one of the most important ecosystems on earth that require careful management, conservation, and sustainable exploitation. As countries have their own guideline systems, each may learn and borrow from one another’s experience. One of such countries is Japan, which has elaborate forest policies, and rich in forest cover (67%) with its forest history dating many years back. On the other hand, Kenya, with a forest cover of just 7% and its policies demonstrating notable weaknesses, has a lot to learn from Japan. Therefore, we have attempted to do a comparative analysis of forest policies, technologies, and management practices between Kenya and Japan. Results indicate that Kenya’s forest policies do not place adequate emphasis on silvicultural practices and the establishment of forest plantations, and rarely focus on sustainable biomass utilization—factors that contributed significantly to forest growth and development in Japan. Additionally, policy legislation, revision, and implementation have not been given the deserved priority in Kenya. We conclude that Kenyan forest policy would benefit from both revision and thorough implementation. We also discuss the role of indirect factors such as economic growth and availability of nonwood-based energy sources in the future of Kenya’s forests.     

兴安落叶松天然林树冠生长特性分析

分析兴安落叶松天然林分级木和林分冠生长特性,建立冠幅生长及单株冠、枝、叶生物量模型。结果表明:1)年龄36～39年、密度983～3263株·hm-2林分和年龄54～61年、密度1101～2241株·hm-2林分,随林分密度增加,分级木冠幅差距趋于减小;冠长占树高比例及冠长与冠幅比值增加;优势木、平均木和被压木平均冠积分别达22.479,15.296,6.179和26.864,11.154,8.192m3。2)年龄36～39年和54～61年林分优势木、平均木和被压木平均单株冠生物量分别为0.0082,0.0049,0.0009和0.0079,0.0038,0.0014t;占单株地上生物量平均比例分别达18.5%,24.2%,17.3%和15.9%,12.0%,20.5%。3)单株冠生物量分配中,枝比例高于叶比例,并因分级木不同而不同。年龄36～39年和54～61年林分,优势木、平均木、被压木枝生物量比例分别为76.6%,74.7%,66.6%和76.8%,73.3%,71.4%;叶生物量比例分别为23.4%,25.3%,33.4%和23.2%,26.7%,28.6%。4)年龄36～39年和54～61年林分,林分...     

湘中紫色页岩区芦竹生物量及养分分布规律研究

对湘中紫色页岩区芦竹的生物量和养分分布进行初步研究.结果表明:当年生芦竹杆(含叶)养分含量高于多年生,因此不宜砍伐利用当年生芦竹杆;根茎养分含量较高,是系统中良好的养分贮存库.一年生、二年生、五年生、八年生芦竹的生物量分别为293.00、5258.29、6746.87和480.86 kg.hm-2.     

马尾松,大头茶针阔混交林森林结构的研究

典型选样调查测定,分析马尾松、大头茶常绿针阔混交林的森林特征、种群结构、林分结构、生物量结构及生态功能。结果表明:1.该混交林是亚热带常绿阔叶林前一阶段的过渡性森林类型,在干扰状态下保持其相对的稳定性。2.复层、异龄现象是该混交林的主要特征。建群种充分利用了林地空间营养面积,发挥了林地的生产潜力。叶面积指数达6.86～8.83,林分木材蓄积量达160～222m~3/ha,林分总生物量达114～163t/ha。其中,乔木层生物量达105～154t/ha。光照充足的林下,草本层生物量可达2.5t/ha,对庇护地表起到了最直接、最明显的作用,而调节林冠密度,可控制或促进草本层生物量的增长。3.此种混交林改善了森林立地的蓄水功能和贮水方式。林地土壤最大贮水量达2645～4100t/ha,降水贮存量达565～1256t/ha,林地枯枝落叶层饱和持水量达4589～8702kg/ha。该类型达到了生态与经济效益兼顾,可在我国南方亚热带山地各类工程造林中推广应用。     

放牧对西藏高寒嵩草草甸地上生物量空间分布的影响

以西藏自治区工布江达县的高寒嵩草（Kobresia）草甸为研究对象,利用地上生物量测定法对草地群落进行实地调查,并结合γ分布模型,从空间异质性角度来探索放牧对西藏高寒草甸地上生物量及其空间分布格局的影响,以期为高寒牧区退化草地的恢复及生产力的提高提供理论指导。结果表明：未放牧区（N）、适度放牧区（M）和重度放牧区（H）植物种地上生物量的空间分布与γ模型均具有很好的吻合性;样方内的平均生物量随着放牧强度的增大而减少,且适度放牧、重度放牧与未放牧区生物量之间均差异极显著（P<0.01）;群落的空间异质性表现为N>H>M,且草地植物种的生物量与其空间异质性负相关。因此在草地的管理与利用中,应有效控制植物群落的空间异质性来提高草地生产力,实现草畜平衡。