黑龙江省森林碳汇市场构建的可行性设计

随着全球森林碳汇市场市场份额扩大,黑龙江省凭借资源和区位等内在优势,森林碳汇市场发展前景可观。基于市场原则和组织框架的构建设想,依据市场定位和产品开发,对黑龙江省森林碳汇市场发展的可行性分阶段设计,提出适合的保障机制,为黑龙江省森林碳汇市场运行提供理论参考和现实依据。     

Socioeconomic Impact of Forest Eco-compensation Mechanism in Hainan Province of China

The establishment of the forest eco-compensation mechanism could realize the value of the forest ecosystem services partly or thoroughly, stress the equality of the stakeholders, encourage public participation in forest ecosystem tendering, and strengthen the capacity of sustainable management. Taking the Hainan province as an example, this study focuses on the analysis of major socioeconomic and ecological impacts of forest eco-compensation in the Qiongzhong County and Lingshui County, and recommends approaches and practices for the establishment of the eco-compensation mechanism in the Hainan Province. Data were collected from a household questionnaire survey. Altogether 120 households have been interviewed, and Statistical Product and Service Solutions (SPSS) was applied for data analysis. Most of the respondents held a positive attitude toward the forest eco-compensation policy which has contributed to the improvement of environmental quality. However, forest protection has limited the opportunities for the income growth of local communities, who have never got sufficient compensation from either the central or local governments. Insufficient financial support to forest institutions and local communities involved in forest management has led to major conflicts in forest management, such as, the conflict between forest protection and local economic development, and decrease in arable land area and increase in surplus labor force. On the basis of case study results, the core issues of forest eco-compensation mechanism in Hainan province are discussed. Finally, suggestions and recommendations that cover forest eco-compensation standards, management institutions, and community capacity building and diversification of financing channels, have been made for the establishment of forest eco-compensation mechanism in Hainan.     

Forest Stand Dynamics and Livestock Grazing in Historical Context

Abstract:  Livestock grazing has been implicated as a cause of the unhealthy condition of ponderosa pine forest stands in the western United States. An evaluation of livestock grazing impacts on natural resources requires an understanding of the context in which grazing occurred. Context should include timing of grazing, duration of grazing, intensity of grazing, and species of grazing animal. Historical context, when and under what circumstances grazing occurred, is also an important consideration. Many of the dense ponderosa pine forests and less-than-desirable forest health conditions of today originated in the early 1900s. Contributing to that condition was a convergence of fire, climate, and grazing factors that were unique to that time. During that time period, substantially fewer low-intensity ground fires (those that thinned dense stands of younger trees) were the result of reduced fine fuels (grazing), a substantial reduction in fires initiated by Native Americans, and effective fire-suppression programs. Especially favorable climate years for tree reproduction occurred during the early 1900s. Exceptionally heavy, unregulated, unmanaged grazing by very large numbers of horses, cattle, and sheep during the late nineteenth and early twentieth centuries occurred in most of the U.S. West and beginning earlier in portions of the Southwest. Today, livestock numbers on public lands are substantially lower than they were during this time and grazing is generally managed. Grazing then and grazing now are not the same.     

红松阔叶混交林林隙极端地面温度的地统计学分析

以小兴安岭原始红松阔叶混交林林隙为研究对象,采用网格法布点,通过对生长季内林隙各样点极端地面温度的连续观测,利用经典统计学和地统计学的方法分析并揭示了林隙极端地面温度的时空分布格局。研究结果表明:林隙极端地面温度不同空间样点之间存在异质性,而且异质性的强度、 尺度和空间结构组成随时间而改变,各月平均极端地面温度斑块形状复杂,最高地面温度大小顺序均为6月>7月>8月>9月,最低地面温度大小顺序为7月>8月>6月>9月,月平均地温的最大值和最小值分布位置不固定,同一月份地面最高温度的大小顺序是空旷地>林隙>郁闭林分,地面最低温度大小顺序是郁闭林分>林隙>空旷地。研究旨在为红松阔叶混交林的可持续经营提供基础数据和理论参考。     

长白山温带森林挥发性有机物的排放通量

2010年夏季,在长白山温带森林开展了挥发性有机物(VOC)排放通量以及气象参数、PAR的综合测量.VOC排放通量采用松弛涡度积累(RelaxedEddyAccumulation)技术在森林冠层上进行测量.初步发现长白山阔叶林主要排放α-蒎烯、β-蒎烯、莰烯、香桧烯、月桂烯、蒈烯、柠檬烯、罗勒烯、松油烯、繖花烃、萜品油烯、三环烯等.研究表明,长白山阔叶混交林VOC排放有明显的日变化——早晚较低和中午前后较高.2010年夏季,单萜烯总排放通量的平均值为0.242mg·m·h-2-1,其变化范围为0.005～1.668mg·m·h-2-1;各成分排放通量的平均值(和最大值)分别为α-蒎烯0.072(0.234)、莰烯0.028(0.356)、月桂烯0.027(0.433)、蒈烯0.023(0.173)、柠檬烯0.037(0.197)、罗勒烯0.016(0.168)、萜品油烯0.053(0.320)、繖花烃0.067(0.755)mg·m·h-2-1.研究还发现VOC排放通量与气温之间存在一定的联系.     

山东临沂市集体林权改革环境影响调查研究—以小山口村、魏城村和南垛庄铺为例

本文选取小山口村、魏城村和南垛庄铺三个林权改革试点村作为调查对象,通过描述统计、交叉列联表分析和Ridit分析,就林权改革的方式、林改对经济和环境产生的影响及林权流转三个方面的问题对山东临沂市的集体林权制度改革现状展开调查研究。分析发现,在历经3年的林改中,临沂市始终坚持尊重实际、区别对待,灵活选择林权改革的方式,使当地的林权制度改革受到村民的欢迎。此外,林权改革后,当地的经济收入和生态环境及对林业的投入均有不同程度的提高和改善,村民的营林、护林积极性也大大增加。但是在涉及到林权流转方面的问题时,大部分的村民不能清楚认识到林权的价值,从而使落实处置权的目标短期内难以实现。     

福建省林权改革环境影响农户调查研究—以三明市和永安市为例

福建是全国第一个开展林权制度改革的省份。本文通过在福建省三明市和永安市实地调研的基础上,探讨福建省森林资源经营的改变对环境的影响。研究发现,林区的绝大部分林农对林权改革持满意的态度,认为林权改革前后对环境的影响有变化。数据分析显示,林改后,对林业的投入对于森林旅游的影响成正比;家庭年均收入对空气质量的影响成负相关。研究建议,继续加大对林业的投入,科学编制森林经营规划和经营方案,促进生态环境改善和林农的增收。     

三峡库区典型退耕还林模式土壤养分流失控制

选择三峡库区典型退耕还林模式,包括园地(茶园)及林地(板栗)与原有坡耕地对照,观测并分析其土壤养分(氮磷)输出途径及数量情况,以评估实施退耕还林工程对流域土壤养分输出的影响.结果表明:1退耕后土壤养分氮磷年流失量(包括随泥沙和地表径流流失的量)减少;总氮(TN)年输出量从大到小依次为坡耕地(2 444.27 g·hm-2)茶园地(998.70g·hm-2)板栗林地(532.61 g·hm-2);总磷(TP)为坡耕地(1 690.48 g·hm-2)茶园地(488.06 g·hm-2)板栗林地(129.00 g·hm-2);与坡耕地比较,退耕还林模式(园地、林地)总氮、总磷年输出载荷分别减少了68.68%和81.75%.2茶园地、板栗林地与坡耕地相比,土壤养分速效态氮流失量明显减少,硝态氮(NO-3-N)输出总量依次为坡耕地(113.79g·hm-2)茶园地(73.75 g·hm-2)板栗林地(56.06 g·hm-2);铵态氮(NH+4-N)养分输出次序为茶园最大(69.34 g·hm-2),坡耕地次之(52.45 g·hm-2),板栗林地最小(47.23 g·hm-2).3硝态氮、铵态氮主要通过地表径流输出,所占总量比例分别为91.4%和92.2%;总氮和总磷主要通过泥沙输出,所占总量比例分别为86.6%和98.4%.通过退耕还林等措施,该地区地表径流以及土壤侵蚀输出明显减少,土壤养分流失得到有效控制.     

元阳梯田水源区土壤水氢氧同位素特征

稳定同位素技术为土壤水的运移研究提供了一种全新的研究手段.通过对元阳梯田水源区降水及其4种典型植被类型(乔木林、灌木林、荒草地和无林地)下0~100 cm剖面土壤水进行采样和氢氧稳定同位素的分析测定,研究了该区不同深度层次上土壤水的稳定同位素特征.结果表明,元阳梯田水源区的大气降水线方程为δD=6.838 4δ18O-5.692 1(R2=0.878 7,n=20),其斜率和截距均小于全球大气降水线.4种典型植被类型下的土壤水氢氧稳定同位素值均落于当地大气降水线下侧,且其表层土壤剖面上的同位素值波动变化幅度较大.随着土层深度的增加,δ18O值的波动变化越来越小,尤其以80~100 cm土层体现的最为明显.乔木林和荒草地两种林分类型整体上深层土壤水中的δ18O值要偏高于表层土壤,而灌木林和无林地则恰恰相反.     

基于随机森林与地统计预测城市土壤PAHs分布

收集南京城区采样点位置信息和环境变量等数据,应用地统计和随机森林方法,以及两种方法相结合分别预测土壤多环芳烃（polycyclic aromatic hydrocarbons,PAHs）含量,并比较不同方法预测精度.结果表明：随机森林与地统计方法结合能大幅度提高城市土壤污染物制图精度,整合克里金与随机森林预测残差模型拟合优度R²相比克里金插值法提高74.8%.PAHs空间制图结果能够较好拟合污染物的变化范围,识别污染高值区与低值区的空间分布.随机森林输出特征重要性发现影响南京城区土壤PAHs分布的主控因子为土壤碳和土壤粒度以及工厂密度.本研究可为城市污染物高分辨率和高精度制图以及污染防控治理提供参考.