不同取样尺度和数量下针阔混交林土壤呼吸的空间异质性

区域土壤呼吸通量估算大多用样地尺度的测定结果进行外推,因此对样地尺度土壤呼吸(Rs)及其影响因子的空间关系和取样尺度、取样数量对测定结果的准确性进行评价非常重要.以山西省庞泉沟自然保护区针阔混交林作为研究样地,运用传统统计分析与地统计分析相结合的方法,分析了4、2、1 m取样尺度下土壤水分(Ws)、土壤温度(T10)、凋落物量(Lw)、凋落物含水量(Lm)、土壤全碳(C)、全氮(N)和全碳/全氮(C/N)对土壤呼吸速率(Rs)空间变异的影响.结果表明3个取样间隔下,Rs的均值没有显著差异,但其变异程度随着取样尺度的增大而增加,变异系数在16%~22%之间.在4 m取样间隔下,Rs与Ws、Lw、C、C/N呈极显著正相关(P0.01),与N呈显著正相关(P0.05);在2 m取样间隔下,Rs与T10呈极显著负相关(P0.01),与其他因子相关不显著;在1 m取样间隔下,Rs与其他影响因子的相关性都不显著.随着取样尺度的减小,Rs的空间自相关性逐渐减弱,由高度自相关变为弱相关,表明随着采样距离的减小,结构因素对Rs的作用减弱,随机因素的作用逐渐增大.同一置信水平下相同取样数量随着取样尺度的减小,估计误差降低.95%置信水平下,2 m和1 m取样尺度时9个样本产生的Rs误差在±12%左右,而4 m尺度的误差为±16%;90%置信水平下,2 m和1 m取样尺度时9个样本产生的误差在±10%以内,4 m尺度则为±13%.研究结果可以为样地尺度进行Rs季节测定样点的科学布设提供依据.     

中国亚热带地区2000-2014年林火排放颗粒物时空动态变化

林火是森林生态系统重要干扰因子并对大气环境和人类健康有显著影响.该研究基于2000-2014年中国亚热带地区卫星火点数据,结合林业统计年鉴,估算各区域林火燃烧生物量,运用排放因子法,估算15年间中国亚热带地区林火排放颗粒物总量.研究结果表明,亚热带地区林火存在季节性差异,福建、广东、广西、湖南和江西林火主要集中在春、秋两季;贵州和云南林火主要集中在春季;浙江林火集中在春、夏两季.亚热带地区森林可燃物总燃烧量为333.92 Mt,污染物PM_2.5、OC、EC和TC总量分别为：698.33、338.18、40.04和378.22 kt,此外,各污染物排放在时间和空间上不均衡,各污染物排放量多集中在云南南部和东南部,湖南、贵州和广东交汇处,广东东南部和福建中部等区域;PM_2.5、OC、EC和TC在浙江、云南、贵州、湖南和江西呈显著增长趋势.林火释放PM_2.5与工业粉尘的排放比变化趋势总体呈上升趋势,说明森林火灾导致的颗粒物排放对大气环境影响力呈逐年增长趋势.该文通过对中国亚热带地区林火释放污染物的时空变化研究,为深入揭示林火对区域环境的影响提供数据支持.     

太湖竺山湾缓冲带两种人工草林土壤反硝化作用比较

在太湖竺山湾缓冲带选取两种人工草林(杨树灌木混合林和纯杨树林),对其林床地表径流、林下土壤水和林下地下水进行了为期1 a的观测,比较了土壤反硝化作用.结果表明:①两种人工草林林下土壤生化性质、w(有机碳)以及各形态氮质量分数在1 m深度内垂向剖面上的分布大致相同;②两种人工草林内地下水中的ρ(NO₃--N)在1 a之内都没有明显升高趋势,显示反硝化作用在土壤水的入渗过程中有效削减了NO₃--N,并阻止了其向地下水的迁移;③在垂直剖面上,两种人工草林土壤水中ρ(NO₃--N)在40 cm深度处出现峰值,同深度处的ρ(DO)(低至0.08 mg/L)、E_h(氧化还原电位,0~18 mV)也较低,说明40 cm深度附近可能发生了耦合的硝化-反硝化作用;④在垂直剖面上,两种人工草林土壤中反硝化势和反硝化菌数均在40 cm深度附近出现峰值,虽然杨树灌木混合林土壤反硝化势[2.1 mg/(kg·h)]是纯杨树林[1.1 mg/(kg·h)]的2倍,但两种人工草林土壤中实际的反硝化速率受ρ(NO₃--N)的限制,没有明显的差别.研究显示,两种人工草林土壤都在40 cm深度附近存在反硝化活跃带.      

非农就业对南方集体林区不同规模林农营林轮伐期的影响

在中国农村劳动力非农就业不断加速的背景下,探讨非农就业对集体林区不同规模林农营林轮伐期的影响机制,有助于明确不同规模经营主体今后的用材林营林目标和林业在山区未来的经营发展模式,同时为林业规模化经营的合理性提供客观依据。基于劳动力转移新经济学理论,通过对浙江、江西和福建三省450户林农的调查,收集杉木营林的地块投入产出数据,在此基础上,运用Faustmann模型计算规模户与普通户的理论最优轮伐期,运用计量模型分析非农就业对集体林区不同规模林农采伐轮伐期的影响机制。研究结果发现,普通户和规模户的理论最优轮伐期趋同;非农就业的劳动力流失效应造成普通户营林的预期主伐时间显著短于理论最优轮伐期,而规模户非农就业带来的收入效应造成其采伐决策接近于理论最优轮伐期。在农村非农就业不断增加背景下,南方集体林区规模化经营的方式有利于接近最优采伐决策,更适合于培育大径材,增加林业生态和经济效益。     

当代森林火灾防控对策研究

我国森林防火事业应走科学防火、人文防火相结合的道路。在历史森林火灾资料散落和缺失的背景下,依据解放后森林火灾资料,考查分析表明我国森林火灾的特点是森林火灾严重、森林火灾发生地方比较集中、森林火灾具有一定的季节性并且森林火灾具有5-6年和10年的准周期,防控失误原因是指导思想缺乏科学的方法与人文的关怀、宣传有死角,火源管理不严、执行规章制度不严、防火阻隔带建设不够完善和专业扑火队员少,业务素质差;设备落后。我国森林火灾防控应该转换思路,从过去以牺牲人的生命为代价转换到以人为本的路径上来,通过充分利用符合国情的各项防火对策,有效促进各个林区的林火管理,提高林火控制能力,减少森林火灾,保护森林资源、生态环境和林区人民生命财产安全,实现林区社会稳定和林业可持续发展。     

Risk factors for elevated Enterococcus concentrations in a rural tropical island watershed

Associations were examined between riparian canopy cover, presence of cattle near streams, and month of year with the concentration of Enterococcus (Most Probable Number (MPN)/100 ml) in surface water at Waipā watershed on the North Side of the Hawaiian island Kaua'i. Each one percent decrease in riparian canopy cover was associated with a 3.6 MPN/100 ml increase of waterborne Enterococcus. Presence of cattle near monitoring sites was associated with an increase of 99.3 MPN/100 ml of Enterococcus in individual grab samples. Lastly, summer samples (July) were substantially higher in concentration of Enterococcus than winter collected samples (February) in Enterococcus in sampled streams. These results suggest that reducing canopy cover and introduction of cattle into riparian zones may contribute to increases of Enterococcus concentrations in stream water.     

南京近郊主要森林类型对土壤重金属的吸收与累积规律

研究了南京近郊针、阔叶树种杉木(Cunninghamia lanceolata)、麻栎(Quercus acutissima)对重金属元素铬、铜、镍、铅、锌的吸收和累积规律.研究结果表明,5种重金属元素在2种林分的枯落物层含量均高于灌草层和乔木层各部位,但由于乔木层生物量较大,重金属元索在2种森林生态系统中主要储存在乔...     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.     

Individual-based modeling of flooding and salinity effects on a coastal swamp forest

Coastal swamps are among the rapidly vanishing wetland habitats in Louisiana. Increased flooding, nutrient and sediment deprivation, and salt-water intrusion have been implicated as probable causes of the decline of coastal swamps. We developed a two-species individual-based forest succession model to compare the growth and composition of a cypress-tupelo swamp under various combinations of flooding intensity and salinity levels, using historical time-series of stage and salinity data as inputs. Our model simulates forest succession over 500 years by representing the growth, mortality, and reproduction of individual Taxodium distichum (baldcypress) and Nyssa aquatica (water tupelo) trees in a 1-km² spatial grid of 10 m × 10 m cells that vary in water levels and salinity through differences in elevation. We independently adjusted the elevations of each cell to obtain different grid-wide mean elevations and standard deviations of elevation; this affected the temporal and spatial pattern of flooding. We calibrated the model by adjusting selected parameters until averaged basal area, stem density and wood production rates under two different mean elevations (partially versus highly flooded) were qualitatively similar to comparable values reported for swamps in the literature. Corroboration involved comparing model predictions to four well-monitored contrasting habitat sites within the Maurepas Basin, Louisiana, USA. Model predictions of both species combined showed the same patterns among sites as the data, but the model overestimated wood production and the dominance of T. distichum. Exploratory simulations predicted that increased flooding leads to swamps with reduced basal areas and stem densities, while increased salinity resulted in lower basal areas at low salinity concentration (∼1-3 psu) and complete tree mortality at higher salinity concentrations (∼2-6 psu). Our model can provide insight into the succession dynamics of coastal swamps and information for the effective design of restoration actions.     

九连山自然保护区常绿阔叶林冰雪灾害研究

以九连山国家级自然保护区典型常绿阔叶林为对象,研究树木属性、地形因子与冰雪灾害受损程度的关系.结果表明:九连山常绿阔叶林(DBH≥10 cm)以栲属物种占据主要优势.断梢率、腰折率、翻蔸率和平均受损指数(MDI)最高的树种分别为马尾松、米槠、丝栗栲和米槠,最低的树种分别为红楠、丝栗栲、枫香和罗浮柿.断梢率与胸径(DBH)、树高(H)显著正相关(P<0.01),与H/DBH显著负相关(P<0.01);腰折率与DBH显著负相关(P<0.01);翻蔸率与DBH显著负相关(P<0.01).林分受损程度分析显示,在22≤DBH<24 cm、15≤H<17 m或100≤H/DBH<110时,MDI值最高,在40≤DBH<42 cm、5≤H<7 m或H/DBH≥120时,MDI值最低.坡向对腰折率和MDI值影响显著(P<0.01),N-NE生境中MDI值最高;坡度对树木不同受损指标影响不显著(P>0.05),坡度30°～40°生境中MDI值最高.