2001—2010年黄河流域生态系统植被净第一性生产力变化及气候因素驱动分析

基于MODIS-NDVI遥感数据,利用CASA模型分析黄河流域2001—2010年植被净第一性生产力（NPP）的空间分布格局,并结合同期气温和降水量数据,分别从不同空间和时间尺度上分析了黄河流域6种生态系统类型区域植被NPP的变化趋势,并对其与气候因素的相关关系进行分析.结果表明： 植被NPP空间分布呈西北低、东南高的分布特征,平均NPP年总量为108.53 Tg C,植被NPP的分布与生态系统类型呈现较高的相关性;2001—2010年,植被NPP总体呈上升趋势但波动较大,55.4%的面积呈现增加趋势,不同生态系统类型区域呈现不同的变化趋势;在年际水平上,黄河流域植被NPP变化与气候因素没有显著相关性,但在月际水平上呈现了较高的相关性,降水量和气温对植被NPP变化的影响作用相当;不同生态系统类型对气候因素呈现不同的相关性质以及时滞效应,草地对降水量的响应存在一定程度的时滞效应,荒漠对气温存在时滞效应.     

Incentivising fire management in Pindan (Acacia shrubland): A proposed fuel type for Australia's Savanna burning greenhouse gas emissions abatement methodology

The Australian Government has sanctioned development of greenhouse gas emissions (GHG) abatement methodologies to meet international emissions reduction obligations. Savanna burning emissions abatement methodologies have been available since 2012, and there are currently 72 registered projects covering approximately 32 million ha. Abatement to date has exceeded 4 million tonnes of carbon dioxide equivalent (CO2‐e) principally through the application of low intensity early dry season fire management to reduce the amount of biomass combusted in higher intensity late dry season (LDS) fires. Savanna burning projects can only be conducted on areas with eligible fire‐prone vegetation fuel types where implementing the improved fire management regime is considered ecologically appropriate. This study assesses the suitability of including tall Acacia shrublands (‘Pindan’) as a new eligible fuel type. These shrublands make up 12% (~2 million ha) of the Kimberley region, Western Australia, where, on average, 32% is fire affected annually, mostly in the LDS. A standard assessment protocol was applied to describe vegetation fuel type structural and pyrolysis characteristics. We show that Pindan (i) can be identified and mapped as a unique tall Acacia shrubland vegetation fuel type, (ii) characterised by a significantly greater shrubby fuel load biomass, and (iii) the conservation status of which would benefit from imposition of strategic prescribed burning programme. Savanna burning projects in the Pindan fuel type could potentially abate up to 24.43 t.CO₂‐e/km² per year, generating significant income and employment opportunities for predominantly Indigenous land managers in the region.     

Classification of plant associations based on a 20 hm2 dynamics plot of evergreen broad- leaved forest in Mt. Tiantong,Zhejiang, China

为获取能够代表浙江天童山的森林植被典型群丛类型, 同时也为植被分类中如何发现过渡类型和确定典型类型提供参考, 该研究利用天童20 hm ²森林大样地资料, 运用双向指示种分析(TWINSPAN)与除趋势对应分析(DCA), 剔除过渡群落, 进行群丛划分。结果表明, 去除过渡地段后更利于研究区域典型群丛类型的确定。大样地的植被类型可划分为宜昌荚蒾-厚皮香/港柯+云山青冈群丛(Viburnum erosum-Ternstroemia gymnanthera/Lithocarpus harlandii + Cyclobalanopsis sessilifolia Ass.); 虎皮楠-柯/木荷+米槠群丛(Daphniphyllum oldhami-Lithocarpus glaber/Schima superba + Castanopsis carlesii Ass.); 红毒茴-紫楠/南酸枣+薄叶润楠群丛(Illicium lanceolatum-Phoebe sheareri/Choerospondias axillaries + Machilus leptophylla Ass.)。DCA排序同时能反映各群丛类型分布与环境的相关关系, 结果显示, 海拔和凹凸度对群丛分布有较大影响, 坡度和坡向对群丛分布影响较小。     

盐池县2000-2012年植被变化及其驱动力

荒漠草原区的植被对防治荒漠化、维护生态屏障具有决定性作用,宁夏盐池县作为其典型代表,近13年的植被变化深受气候变化和人类活动的综合影响。基于MODIS NDVI等数据,运用趋势分析、经验模态分解和空间叠置分析等方法,对盐池县2000—2012年的植被动态变化进行研究,结果表明:(1)2000—2012年盐池县NDVI在0.2—0.4之间呈波动上升趋势,上升幅度为0.078/10 a,上升趋势显著;总体来说,植被稳定性低,年际间波动或转换频繁、幅度大;(2)NDVI的波动分量与残余分量方差贡献率各占50%,且NDVI波动呈减弱趋势。促使NDVI波动的主控因子是年降水量,但其影响在减弱;(3)推动NDVI趋势性上升的主要因素是土地利用方式改善和类型变化,但土地利用方式改善对NDVI的贡献远远大于土地利用类型变化对NDVI的贡献。因此,荒漠草原区的生态改善应以保护为主,辅之以必要的生态重建,走以适度开发带动整体保护的道路。     

用人工神经网络方法估计Ligistic方程参数

本文提出Logistic方程参数优化估计的人工神经网络方法,并选取一组标样进行具体尝试。结果表明,用这种方法估计Logistic方程参数效果极好。     

Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration

Vegetation albedo is a critical component of the Earth's climate system, yet efforts to evaluate and improve albedo parameterizations in climate models have lagged relative to other aspects of model development. Here, we calculated growing season albedos for deciduous and evergreen forests, crops, and grasslands based on over 40 site‐years of data from the AmeriFlux network and compared them with estimates presently used in the land surface formulations of a variety of climate models. Generally, the albedo estimates used in land surface models agreed well with this data compilation. However, a variety of models using fixed seasonal estimates of albedo overestimated the growing season albedo of northerly evergreen trees. In contrast, climate models that rely on a common two‐stream albedo submodel provided accurate predictions of boreal needle‐leaf evergreen albedo but overestimated grassland albedos. Inverse analysis showed that parameters of the two‐stream model were highly correlated. Consistent with recent observations based on remotely sensed albedo, the AmeriFlux dataset demonstrated a tight linear relationship between canopy albedo and foliage nitrogen concentration (for forest vegetation: albedo=0.01+0.071%N, r²=0.91; forests, grassland, and maize: albedo=0.02+0.067%N, r²=0.80). However, this relationship saturated at the higher nitrogen concentrations displayed by soybean foliage. We developed similar relationships between a foliar parameter used in the two‐stream albedo model and foliage nitrogen concentration. These nitrogen‐based relationships can serve as the basis for a new approach to land surface albedo modeling that simplifies albedo estimation while providing a link to other important ecosystem processes.     

The biogeochemistry of nitrogen in freshwater wetlands

The biogeochemistry of N in freshwater wetlands is complicated by vegetation characteristics that range from annual herbs to perennial woodlands; by hydrologic characteristics that range from closed, precipitation-driven to tidal, riverine wetlands; and by the diversity of the nitrogen cycle itself. It is clear that sediments are the single largest pool of nitrogen in wetland ecosystems (100's to 1000's g N m^-2) followed in rough order-of-magnitude decreases by plants and available inorganic nitrogen. Precipitation inputs (< 1–2 g N m^-2 yr^-1) are well known but other atmospheric inputs, e.g. dry deposition, are essentially unknown and could be as large or larger than wet deposition. Nitrogen fixation (acetylene reduction) is an important supplementary input in some wetlands (< < 1–3 g N m^-2 yr^-1) but is probably limited by the excess of fixed nitrogen usually present in wetland sediments.Plant uptake normally ranges from a few g N m^-2 yr^-1 to 35 g N m^-2 yr^-1 with extreme values of up to 100g N m^-2 yr^-1 Results of translocation experiments done to date may be misleading and may call for a reassessment of the magnitude of both plant uptake and leaching rates. Interactions between plant litter and decomposer microorganisms tend, over the short-term, to conserve nitrogen within the system in immobile forms. Later, decomposers release this nitrogen in forms and at rates that plants can efficiently reassimilate.The NO₃ formed by nitrification (< 0.1 to 10 g N m^-2 yr^-1 has several fates which may tend to either conserve nitrogen (uptake and dissimilatory reduction to ammonium) or lead to its loss (denitrification). Both nitrification and denitrification operate at rates far below their potential and under proper conditions (e.g. draining or fluctuating water levels) may accelerate. However, virtually all estimates of denitrification rates in freshwater wetlands are based on measurements of potential denitrification, not actual denitrification and, as a consequence, the importance of denitrification in these ecosystems may have been greatly over estimated.In general, larger amounts of nitrogen cycle within freshwater wetlands than flow in or out. Except for closed, ombrotrophic systems this might seem an unusual characteristic for ecosystems that are dominated by the flux of water, however, two factors limit the opportunity for N loss. At any given time the fraction of nitrogen in wetlands that could be lost by hydrologic export is probably a small fraction of the potentially mineralizable nitrogen and is certainly a negligible fraction of the total nitrogen in the system. Second, in some cases freshwater wetlands may be hydrologically isolated so that the bulk of upland water flow may pass under (in the case of floating mats) or by (in the case of riparian systems) the biotically active components of the wetland. This may explain the rather limited range of N loading rates real wetlands can accept in comparison to, for example, percolation columns or engineered marshes.     

黑龙江省森林植被碳储量及其动态变化

黑龙江省的森林资源在全国森林资源中占有较为重要的位置.利用我国第一次(1973～1976年)至第六次(1999～2003年)森林资源清查资料,以及不同树种生物量和蓄积量之间的线性关系,对黑龙江省近30年来森林碳储量进行了求和推算.结果表明,黑龙江省6次森林资源清查中森林的总碳储量分别是7.916×10⁸ t、.413×10⁸ t、.661×10⁸ t、.880×10⁸ t、6.216×10⁸ t和6.011×10⁸ t,总体呈先下降后上升的趋势,说明30年间黑龙江省的森林是CO₂的"汇";特别是1977～1981年后,黑龙江省森林碳储量呈逐渐上升趋势,说明近20年来黑龙江省森林CO₂"汇"的作用在增强.如果对现有森林进行更好地抚育和管理,黑龙江省森林作为CO₂"汇"的潜力很大.     

长江中下游滩地植被与钉螺孳生关系的研究

对由莎草、苔草、狗牙根为优势种组成的杂草群落植被类型、由多种苔草、荻、为优势种组成的苔草、荻群落植被类型和由芦苇、菱笋、蒌蒿及蓼类为优势种组成的芦苇群落植被类型３种长江中下游滩地主要群落植被类型进行了钉螺密度与植被高度、钉螺密度与植被盖度之间的关系。结果表明：杂草群落植被类型,钉螺生存最适宜的植被高度为２２．０５ｃｍ、范围为１５～４７ｃｍ,钉螺生存最适宜的植被盖度为６５．２８％、范围为３５％～９０％;苔草、荻群落植被类型,钉螺生存最适宜的植被高度为２２．６９ｃｍ、范围为２０～３３ｃｍ,钉螺生存最适宜的植被盖度为６７．８０％、范围为３５％～９５％;芦苇群落植被类型,钉螺生存最适宜的植被高度为６４．８２ｃｍ、范围为７２～７８ｃｍ,钉螺生存最适宜植被盖度为６３．９５％、范围为１％～１００％。这一研究结果对通过生态工程措施控制植被因子,实现抑螺防病的策略提供科学依据