福州城市边缘区森林土壤重金属污染特征及评价

为掌握福州城市边缘区森林土壤重金属污染特征,选取10个典型区域作为研究对象,分析森林土壤中Zn、Mn、Cr、Pb、Cu 5种重金属的含量及分布特征,并采用单项污染指数和综合污染指数法对土壤进行质量评价,结果表明:Cr、Pb是该区土壤重金属污染最主要的元素;Zn、Cu、Pb、Cr含量随土层深度增加而减少,Mn则相反;Zn...     

模拟氮沉降对重庆缙云山马尾松林土壤呼吸和酶活性的季节性影响

土壤酶参与土壤碳氮转化,同时土壤碳氮状况又是土壤酶活性的基础,而大气氮沉降通过影响土壤酶活性进而影响土壤CO_2释放.通过野外模拟试验,探讨不同氮沉降量对马尾松土壤呼吸和酶活性的影响,探索该区域马尾松土壤呼吸(Rs)与土壤温度(T)、土壤湿度(W)、Ure(脲酶)、Ive(转化酶)、CAT(过氧化氢酶)及ACP(酸性磷酸酶)的关系,为深入研究氮沉降对马尾松林森林生态系统的影响提供参考.2014年5月~2015年7月在缙云山马尾松林设置3个氮添加水平和一个无氮添加的对照处理:低氮[N_5,20 g·(m~2·a)~(-1)],中氮[N_(10),40 g·(m~2·a)~(-1)]、高氮[N_(15),60 g·(m~2·a)~(-1)]和对照[N0,0g·(m~2·a)~(-1)],每个处理量分4次,在每个季度开始各施1次,每个处理各9次重复,采用ACE(automated soil CO_2exchange station,UK)自动土壤呼吸监测系统分别对土壤呼吸、土壤温度和土壤湿度进行分析测定.结果表明:1土壤酶和土壤呼吸均具有明显的季节变化规律,各处理土壤呼吸均表现为夏季最高,其次是春季和秋季,最低为冬季,而各处理土壤酶活性则无一致的变化规律.2总体而言,氮沉降对土壤呼吸和酶活性均有抑制作用,且抑制程度随氮浓度增加而加强,但冬季氮沉降对马尾松林土壤呼吸有促进作用,春、夏、秋这3个季节氮沉降对Ure、Ive、CAT及ACP有抑制作用,而冬季氮沉降对4种土壤酶活性影响则存在差异.3逐步回归表明,无氮和低氮处理时,T、Ure和Ive对Rs的贡献较大,且随着T、Ure和Ive的增加,Rs也急剧增加;中氮处理时,T、Ure和CAT对Rs的贡献较大,Rs随着T、Ure和Ive的增加而增加;高氮处理时,Rs随着Ure的增加而降低,随着CAT和W的增加而增加.     

米槠天然林和人工林土壤呼吸的比较研究

采用Li-8100开路式土壤碳通量系统,对福建省三明市格氏栲自然保护区米槠天然林和人工林土壤呼吸进行1 a的定位观测,分析了土壤水热因子及凋落物对土壤呼吸的影响.结果表明,米槠天然林和人工林土壤呼吸速率月变化均呈单峰型曲线,峰值分别出现在6月上旬[7.03μmol·(m2·s)-1]和7月下旬[5.12μmol·(m2·s)-1];天然林和人工林土壤呼吸速率的年均值分别为3.74μmol·(m2·s)-1和3.05μmol·(m2·s)-1,两者之间有显著差异(P<0.05);土壤温度是影响土壤呼吸的主要因素,分别可以解释天然林和人工林土壤呼吸速率月动态变化的80.1%和81.0%;天然林土壤含水量与土壤呼吸速率呈显著正相关,但人工林两者不具有相关关系;天然林和人工林土壤呼吸速率与当月凋落物量和前一个月凋落物量呈极显著的正相关关系(P<0.01);指数方程计算的天然林和人工林土壤呼吸的Q10值分别为1.86和2.01,天然林和人工林土壤呼吸年通量值分别为14.34 t·(hm2·a)-1和11.18 t·(hm2·a)-1,天然林转换为人工林后,土壤呼吸年通量下降了22.03%.     

中亚热带针阔混交林土壤-大气界面释汞通量研究

为了揭示不同气候条件下森林与大气间汞交换的规律,应用动力学通量箱与Lumex RA 915+测汞仪联用技术,选择重庆缙云山国家级自然保护区为研究地点,于2011年4月~2012年3月对针阔混交林土/气界面释汞通量进行了为期1 a的连续监测,并考察了各环境因子对土壤释汞通量的影响.结果表明,缙云山针阔混交林林地土壤年平均释汞通量值为(16.82±6.70)ng·(m2·h)-1,明显高于欧美国家自然背景区;受光照、温度、相对湿度等气象因素以及亚热带地区森林植被生长变化规律影响,缙云山地区林地土壤释汞通量存在显著的季节性差异,暖季林地土壤释汞通量[(22.23±13.19)ng·(m2·h)-1]明显高于冷季[(6.01±4.05)ng·(m2·h)-1];通径分析结果表明林地土壤释汞通量的日变化特征和1 d中光照强度变化有密切关系,土温、气温和相对湿度与土壤释汞通量之间的显著相关关系可能是光照强度与土壤释汞通量相关关系的表象.     

缙云山3种典型森林降雨过程及其氮素输入

选取重庆缙云山的常绿阔叶林、毛竹林和针阔混交林为研究对象,于2012年5~10月对大气降水、穿透雨和树干径流等降水过程及其氮素输入进行研究.结果表明:①研究期间总降雨量564.88 mm,常绿阔叶林、毛竹林和针阔混交林的穿透雨量占总降雨量的比例分别为74.0%、85.0%和71.6%,且树干径流量所占比例分别为1.9%、10.3%和1.6%;3种林分的穿透雨量、树干径流量与林外降雨量之间均呈显著的线性关系(P<0.05),且穿透雨率、树干径流率与林外降雨量之间都呈对数关系(P<0.05).②与大气降水相比,穿透雨和树干径流的NO-3和NH+4浓度要高,且3种林分的大小关系为针阔混交林>常绿阔叶林>毛竹林;穿透雨和树干径流的总无机氮输入量(以N计)分别为针阔混交林(18.93 kg·hm-2)、常绿阔叶林(14.93 kg·hm-2)和毛竹林(15.31 kg·hm-2).③3种林分的无机氮输入量与穿透雨量、树干径流量之间均呈显著的线性关系(P<0.05).     

模拟氮沉降对太岳山油松林土壤呼吸的影响及其持续效应

以太岳山油松林为研究对象,对林地分别作3种凋落物处理:对照(C)、去凋(B)、去凋+切根(A),并设计了4个氮水平:对照(CK,0 kg·hm-2·a-1,以N计,下同)、低氮(LN,50 kg·hm-2·a-1)、中氮(MN,100 kg·hm-2·a-1)和高氮(HN,150 kg·hm-2·a-1),研究了土壤呼吸速率在施氮后的连续变化,以及与温度、湿度、微生物生物量C、N、土壤酶活性的关系.结果表明:去凋+切根、去凋、对照样方不同施氮水平下土壤呼吸速率基本都在施N后的第1 d处在最高峰,随即下降,切根+去凋、去凋处理样方的土壤呼吸速率在施氮后第3 d趋于稳定,而对照处理样方的土壤呼吸速率一直处于下降状态.施氮在一定程度上抑制了切根+去凋处理的土壤呼吸速率,而促进了去凋处理、对照处理的土壤呼吸速率,并且土壤微生物生物量C、N的变化与土壤呼吸速率变化一致,土壤呼吸速率与土壤酶活性、土壤湿度的拟合关系不显著(p0.05),而与土壤温度的拟合关系显著(p0.05).以土壤温度、土壤湿度构建的复合模型R s=aebTWc预测土壤呼吸的准确性高于单因子模型,施氮降低了每种凋落物处理指数关系模型(R s=aebT)的决定系数R2,并且施氮降低了切根+去凋、去凋处理的温度敏感性指数Q10,而对对照处理的Q10无明显影响.     

Forest resources and household welfare: Empirical evidence from North Central Vietnam

Using secondary data from a socio-economic quantitative household survey of the North Central region of Vietnam, the main aim of our study is to analyze the causal effect of forest resources on household income and poverty. Based on the observed characteristics of a forest-based livelihood and forest-related activities, we use a propensity score matching (PSM) method to control for potential bias arising from self-selection. The PSM results indicate that households with a forest-based livelihood had a higher level of income and lower poverty rates than did those without. Interestingly, our findings confirm that a forest-based livelihood offers much higher income than any other type of livelihood adopted by local households. Also, the poverty rate among households with a forest-based livelihood is lower than those earning non-labor income or engaged in wage/crop and crop livelihoods. Among households and provinces, we find varying opportunities deriving from forest resources, suggesting that there are potential barriers hindering local households from pursuing a forest livelihood or participating in some forest activities. Therefore, government policy and regulations on forest management should focus on improving the access of households to forest resources, while enhancing the sustainability of these resources.     

西南山地区域森林火险综合预报模型研究——以重庆市为例

森林火灾严重破坏森林生态系统的结构和功能,针对其风险预报开展研究具有重要的理论意义和应用价值。通过融合气象、地表覆盖和人类活动等要素的方式构建森林火险综合预报模型,是西南山地区域森林火险综合预报业务化应用的重要发展方向。基于《森林火险气象等级》国家标准(GB/T 36743-2018),本文研究首先构建了重庆市森林火险气象风险预报模型。然后通过融合可燃物因素和人为因素的方式,进一步构建重庆市森林火险综合预报模型。最后利用历史火点数据针对上述两类模型的精度进行对比和分析。研究结果表明:重庆市森林火灾发生次数较多,且呈现出季节性规律;重庆市森林火灾的发生不仅受到气象条件的影响,而且受到地表覆盖和人类活动等多种要素条件的共同影响;与森林火险气象风险预报结果相比,森林火险综合预报结果在空间分布上具有更高的精细程度;森林火险综合预报模型能有效提高森林火险等级预报精度。     

Mapping the Spatial Variability of Plant Diversity in a Tropical Forest: Comparison of Spatial Interpolation Methods

Knowledge of the spatial distribution of plant species is essential to conservation and forest managers in order to identify high priority areas such as vulnerable species and habitats, and designate areas for reserves, refuges and other protected areas. A reliable map of the diversity of plant species over the landscape is an invaluable tool for such purposes. In this study, the number of species, the exponent Shannon and the reciprocal Simpson indices, calculated from 141 quadrat sites sampled in a tropical forest were used to compare the performance of several spatial interpolation techniques used to prepare a map of plant diversity, starting from sample (point) data over the landscape. Means of mapped classes, inverse distance functions, kriging and co-kriging, both, applied over the entire studied landscape and also applied within vegetation classes, were the procedures compared. Significant differences in plant diversity indices between classes demonstrated the usefulness of boundaries between vegetation types, mapped through satellite image classification, in stratifying the variability of plant diversity over the landscape. These mapped classes, improved the accuracy of the interpolation methods when they were used as prior information for stratification of the area. Spatial interpolation by co-kriging performed among the poorest interpolators due to the poor correlation between the plant diversity variables and vegetation indices computed by remote sensing and used as covariables. This indicated that the latter are not suitable covariates of plant diversity indices. Finally, a within-class kriging interpolator yielded the most accurate estimates of plant diversity values. This interpolator not only provided the most accurate estimates by accounting for the indices' intra-class variability, but also provided additional useful interpretations of the structure of spatial variability of diversity values through the interpretation of their semi-variograms. This additional role was found very useful in aiding decisions in conservation planning.     

A Simulation Study to Assess the Sensitivity of a Forest Health Monitoring Network to Outbreaks of Defoliating Insects

The sensitivity of the United States Forest Health Monitoring network to outbreaks of defoliating insects was examined by means of a simulation study. A model constructed specifically for the study was used to generate a wide variety of defoliation patterns in forested landscapes. Forest configuration was that of Minnesota, USA, as expressed by the GAP land cover classification. Combinations of model parameters were based on a Latin Hypercube sample. The relationship between the average number of plots defoliated and outbreak characteristics was then examined via multiple regression. Both theoretical and model results pointed to a strong, linear relationship between the average number of plots defoliated and outbreak size. Model results provided additional insight, suggesting a significant relationship between the average number of plots defoliated and other outbreak characteristics after outbreak size was taken into account.