基于CVM的宁波天童天然林碳汇贸易研究

以宁波天童天然林为例,探讨了将天然林碳汇纳入碳汇贸易的方法和途径,采用条件价值评估法(CVM)估算了天童天然林碳汇价值,并探讨了天然林碳汇贸易的可行性.结果表明:(1)与人工林碳汇相比,天然林碳汇在数量、生态功能和保育价值方面具优势,将天然林碳汇纳入碳汇贸易,是对现有人工林碳汇贸易的有益补充;(2)公众对碳汇贸易普遍持...     

浅析我国森林生态效益补偿制度

概述了中国森林生态效益补偿研究的发展历程和总体状况,通过对森林生态效益补偿制度的回顾、补偿现状的描述,综述相关文献分析了森林生态效益补偿制度存在的一些问题,并提出了相应的建议。     

杨树人工林碳循环对淹水的响应

本文采用涡度相关方法对安徽怀宁杨树人工林的碳通量进行监测,得到微气象数据和通量数据。通过坐标旋转、密度校正和数据插补处理提高数据质量。选取2005年9月淹水期间的数据。分六个阶段进行分析。得到以下结果：（1）在半小时尺度上,在淹水期表观量子效率α随着土壤含水量SWC上升而降低;在未淹水期最大。为-0．0023μmolphoton^-1;退水期最低,为-0．00122mgCO2μmolphoton^-1,退水后恢复到-0,00168mgCO2μmolphoton^-1;α在淹水中2期降低速率最大,在整个淹水期间α的恢复速率是大于降低速率的。（2）生态系统总初级生产力（GEP）在淹水后不断降低．耒淹水期为8．0gCm^-2day^-1．退水后为4．7gCm^-2day^-1,在淹水中2期降幅是最大的达到了16％。（3）生态系统呼吸（Reco）在完全被水淹的第一天降到最低,仅为2．2gCm^-2day^-1;由于温度的影响其变化规律比较复杂。在淹水中2期的变化幅度是最大的;退水后Reco为4．2gCm^-2day^-1恢复到来淹水前的87％。（4）淹水期净生态系统CO2交换量（NEE）的变化表现为先上升后下降的趋势,在淹水中1期最大为-4．2gCm^-2day^-1。退水后最低。为0．6gCm^-2day^-1是未淹水前的17％。     

Possible use of Lingula sp. (Phylum Brachiopoda) as a dissemination strategy to promote sustainable development in Fangchenggang mangrove,China

The economic marketability of a brachiopod, Lingula was studied at three coastal mangrove sites, specifically based on socioeconomic parameters from 10 villages that utilized Lingula along Pearl Bay, Beilun Estuary Marine Nature Reserve, China. The significantly highest density of Lingula was at Jiao Dong (48.2 ± 35.14 individual/m²) whereas the biomass of Lingula was highest (0.76 ± 0.22 g/individual) at Gui Lao Bu. The shell size of the largest specimen was still less than that in other references. The socioeconomic study of the population related to Lingula involved a small group, and no relationship could be determined among the parameters of age range, education level, occupation, and financial status. The total economic value (320,927.4 Yuan) was based on the value of consumption whereas the value from sales was very low as recorded from Shan Xin over a three-month season. Analysis of the results to determine strengths, weaknesses, opportunities, and threats was undertaken to identify the potential of Lingula sp. to be promoted and supported in the market as a novel source of income for the local community who are associated with mangrove resources; and also to examine its potential as a new food source for the rapidly growing population of China.     

Effects of two forest types on the dynamics of four base cations along with rainfall partitioning in middle subtropical forests北大核心CSCD

盐基离子随穿透雨和树干茎流的迁移成为森林元素输入的重要组成部分.在迁移过程中,冠层淋溶、树干冲刷等改变了盐基离子含量,而不同林型的林冠特征、树皮性质等存在差异,因此盐基离子含量在不同林型中可能存在差异对米槠次生林和杉木人工林穿透雨、树干茎流进行为期4年的监测,对比研究4种盐基离子(K+、Ca2+、Na+、Mg2+)浓度和输入量的动态特征.结果显示:(1)米槠次生林树干茎流Ca2+、Mg2+浓度显著低于杉木人工林而K+浓度显著高于杉木人工林;穿透雨除Na+浓度外均为米槠次生林显著高于杉木人工林.穿透雨和树干茎流Na+浓度林型差异不显著.(2)两种林型盐基离子季节动态变化基本一致,在雨季旱季各有一个峰值,雨季浓度普遍低于旱季.米槠次生林盐基离子浓度稳定性普遍高于杉木人工林.(3)分析盐基离子浓度与降雨强度的关系发现:Ca2+、K+、Mg2+浓度随雨量级的增加而降低,Na+浓度随雨量级的增加而增加.(4)观测期间米槠次生林穿透雨累计输入Ca2+、K+、Mg2+和Na+总量分别为47.97、35.17、7.15和12.94 kg/hm2,树干茎流累计输入Ca2+、K+、Mg2+和Na+总量分别为11.38、6.21、1.54和3.00 kg/hm2;杉木人工林穿透雨累计输入Ca2+、K+、Mg2+和Na+总量分别为47.24、26.63、6.43和11.55 kg/hm2,树干茎流累计输入Ca2+、K+、Mg2+和Na+总量分别为4.11、1.20、0.50和0.83 kg/hm2.米槠次生林的林内雨盐基离子输入量大于杉木人工林.总体而言,米槠次生林比杉木人工林有更高的养分输入,能更好地维持生态系统养分的供应;上述结果有助于进一步认识森林物质随水文过程的流动,可为人工林经营管理提供一定科学基础数据.(图6表1参36)     

Dynamic characteristics of woody plant regeneration in karst secondary forests in central Guizhou北大核心CSCD

Based on community data (2012, 2020) of the Tianlong Mountain evergreen and deciduous broadleaved mixed forest plot in central Guizhou, China, the species composition, importance value index, diversity, and dynamic changes were estimated to explore the renewal and change characteristics of karst secondary forests. The results showed that: (1) the number of individual species in the investigated two hm2 plot encompassing 33 families and 55 genera, totaling 69 species decreased from 10 276 to 7837. Five families, 10 genera, and 18 species were newly added, while seven families, nine genera, and 11 species disappeared. The difference between the importance value indices of the species was obvious; that of Lithocarpus confinis (20.97–23.26) was much higher than that of other species. Except for some species, the overall inter-annual differences were not large, and the status of mesophytic and shaded species has increased. Life forms were dominated by small trees and shrubs or small trees, and the plant number density of different life forms is reduced. (2) The Margalef and Shannon-Wiener indices of shrubs were the largest, and the Pielou indices of shrubs or small trees were the largest. The composition of most life forms has increased; the diversity became richer; and the uniform distribution of individual species has increased, but the change was small. (3) With respect to the spatial distribution pattern, the species were generally clustered, and only a few were randomly distributed. The Cx, I, m*, CA, and G indices of the species were reduced, and those of some species were quite different. A tendency for aggregated distribution was observed over random distribution, but the aggregation degree of Lithocarpus sphaerocephala was still high. The PAI index of most species increased but was not obvious, whereas the K value changed irregularly. Overall, the species composition, importance value index, diversity, and spatial distribution pattern of the main species in this community have changed to some extent but without any significant fluctuations. L. sphaerocephala was still the dominant species in succession, and the species composition of the flora was stable. The restoration of vegetation and the development of the entire community are slow. © 2022 Science Press. All rights reserved.     

基于多点关联性的尾矿坝位移监测序列异常值诊断*

针对尾矿坝位移监测序列中噪声和真实异常值的区分问题,提出1种基于多点关联性和改进孤立森林（IF）算法的异常数据诊断模型。通过IF算法对监测序列中的各样本点异常程度进行量化计算,引入云模型（CM）算法确定IF量化的异常得分与异常概念的相互映射关系以实现异常点的初步诊断,根据Apriori算法计算多测点序列间的关联性,找出强关联序列组合,结合序列关联性以及异常点诊断结果区分噪声与真实异常值。以某尾矿坝位移监测序列为例进行模型验证。研究结果表明:基于多点关联性的异常诊断模型能够有效区分尾矿坝位移监测序列中的噪声与真实异常值,提高监测系统的准确性。     

Using historical spy satellite photographs and recent remote sensing data to identify high-conservation-value forests

High-conservation-value forests (HCVFs) are critically important for biodiversity and ecosystem service provisioning, but they face many threats. Where systematic HCVF inventories are missing, such as in parts of Eastern Europe, these forests remain largely unacknowledged and therefore often unprotected. We devised a novel, transferable approach for detecting HCVFs based on integrating historical spy satellite images, contemporary remote sensing data (Landsat), and information on current potential anthropogenic pressures (e.g., road infrastructure, population density, demand for fire wood, terrain). We applied the method to the Romanian Carpathians, for which we mapped forest continuity (1955–2019), canopy structural complexity, and anthropogenic pressures. We identified 738,000 ha of HCVF. More than half of this area was identified as susceptible to current anthropogenic pressures and lacked formal protection. By providing a framework for broad-scale HCVF monitoring, our approach facilitates integration of HCVF into forest conservation and management. This is urgently needed to achieve the goals of the European Union's Biodiversity Strategy to maintain valuable forest ecosystems.     

森林类型对森林火灾自组织临界性的影响

在真实的森林系统中，由于外界因素的复杂性，森林火灾的自组织临界性要受到影响。森林类型便是影响森林火灾自组织临界性的一个重要因素。本文研究了以密度为控制参数的森林火灾模型以及这个模型在森林密度不同时产生的相变行为，发现对过于稀疏或者过于密集的森林类型，森林火灾的分布会偏离甚至完全背离幂律关系，从而使得自组织临界性不再满足。     

Identification of Forest Vegetation Using Vegetation Indices

Spectral feature of forest vegetation with remote sensing techniques is the research topic all over the world, because forest plays an important role in human beings' living environment. Research on vegetation classification with vegetation index is still very little recently. This paper proposes a method of identifying forest types based on vegetation indices, because the contrast of absorbing red waveband with reflecting near-infrared waveband strongly for different vegetation types is recognized as the theoretic basis of vegetation analysis with remote sensing. Vegetation index is highly related to leaf area index, absorbed photosynthetically active radiation and vegetation cover. Vegetation index reflects photosynthesis intensity of plants and manifests different forest types. According to reflectance data of forest canopy and soil line equation NIR=1.506R+0.0076 in Jingyuetan, Changchun of China, many vegetation indices are calculated and analyzed. The result shows that the relationships between veg