生态区评价研究的兴起与发展——以美国森林生态系统管理评价(FEMAT)研究为例

生态区评价是近年来出现在美国的一种新型区域生态系统管理方法的理论与实践科学研究,起始于美国总统森林会议(1993)后成立的森林生态系统管理评价组(FEMAT),目标是实现地区生态系统的科学管理.本文评介了生态区评价首项案例--美国西北太平洋沿岸区原始森林及其他各类森林经营管理方案的生态、经济、社会影响综合评价的科学与方法实践意义.指出FEMAT的生态区评价:1)迈出了生态区评价历史上坚实的第一步,实现了区域土地利用规划与生态系统管理方案从以行政疆域为准划分向以生态区域为准划定边界的转变;2)方案优化过程充分考虑区域生态、经济、社会的历史、现状与未来趋势等各方面,将科学、政策、管理融为一体,使之易于在实践中贯彻;3)促进了不同政府机构和利益团体间为实现资源开发与生态保育双重目标而共同协作.     

甘孜州天然林禁伐的影响与区域持续发展对策

森林采伐向来是甘孜州经济的重大支柱，对地方财政收入的贡献率达58．63％（1997年）。天然林禁伐影响巨大而广泛，既使经济产出与财政收入锐减，又导致一系列相关 产业萎缩，劳动就业压力增大，研究指出，选择新经济增长点与生长点产业大力加以培育发展迫在眉睫。其中，以加大财政转移支付力度加强基础设施建设、加强绿色产品与绿色食品发展以及天然药物开发，大力发展旅游业和流通产业等应是正确选择。     

海南省三亚市的生态环境建设

三亚市位于海南岛最南部，具有得天独厚的生态环境优势。近20年来，生态环境建设虽取得初步成效，但问题也较突出，如林业尚存隐患，耕地锐减，水域受蚕食和局部环境恶化，城市绿化美化不足等。生态环境建设面临的任务主要是：合理布局城镇，建设具有经济－生态良性循环的城乡体系；完善林业生态体系建设，建成强有力的陆地生态支柱；保护好水体环境，搞好碧水工程建设；保护耕地、保证农业持续发展；整治环境，提高环境质量。为此必须采取相应措施。     

川西北地区经济林资源评价及其发展对策

研究表明，川西北地区自然环境复杂，生态类型多样，河谷及部分山地发展经济林木具有环境适宜、类型丰富、消费市场大、土地资源相对充裕等优越条件，但发展缓慢．为发挥资源优势与潜力，从农业结构、管理体制、科学技术等探讨了制约因素，提出了发展对策．     

三维绿色生物量的遥感模式研究与绿化环境效益估算

本文从理论和技术上叙述了绿量的遥感模式研究和绿化环境效益估算，并取得了以下几个方面的进展：（１）提出了绿量的概念，进一步完善了城市绿化的量化指标体系；（２）成功地修正了“逻辑斯蒂曲线”方程，并以平面量模拟立体量的方法测算了上海市全市的绿量，不仅节省了人力物力，而且提高了精度；（３）提出了模式林的概念及测定了以绿量估算绿化环境效益中所必须的标准换算量；（４）首次用绿量在全市范围估算了绿化群落的吸碳产氧、吸收二氧化硫、滞尘及夏季降温等环境效益。为分析现有绿化群落布局与结构的合理性，及为绿化规划乃至整个城市的总体规划提供了很有价值的技术参数。     

Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method

ABSTRACT

The predictive capability of a new artificial intelligence method, random subspace (RS), for the prediction of suspended sediment load in rivers was compared with commonly used methods: random forest (RF) and two support vector machine (SVM) models using a radial basis function kernel (SVM-RBF) and a normalized polynomial kernel (SVM-NPK). Using river discharge, rainfall and river stage data from the Haraz River, Iran, the results revealed: (a) the RS model provided a superior predictive accuracy (NSE = 0.83) to SVM-RBF (NSE = 0.80), SVM-NPK (NSE = 0.78) and RF (NSE = 0.68), corresponding to very good, good, satisfactory and unsatisfactory accuracies in load prediction; (b) the RBF kernel outperformed the NPK kernel; (c) the predictive capability was most sensitive to gamma and epsilon in SVM models, maximum depth of a tree and the number of features in RF models, classifier type, number of trees and subspace size in RS models; and (d) suspended sediment loads were most closely correlated with river discharge (PCC = 0.76). Overall, the results show that RS models have great potential in data poor watersheds, such as that studied here, to produce strong predictions of suspended load based on monthly records of river discharge, rainfall depth and river stage alone.     

滇黔桂卡林型金矿区水系沉积物和岩石金含量与时空分布

为研究滇黔桂卡林型金矿区水系沉积物和岩石中金的地球化学时空分布及其与金矿规模的对应关系,系统收集了该区1:20万区域化探全国扫面计划水系沉积物和全国地球化学基准计划岩石金的地球化学数据,绘制了水系沉积物和岩石金的地球化学分布图。滇黔桂卡林型金矿区以水系沉积物金地球化学异常面积大于1000 km^2为准,共圈定5处金的地球化学省,这些金的地球化学省同时也是矿床大规模产出的部位。区内右江盆地水系沉积物金背景值(1.94×10^–9)高于扬子克拉通(1.68×10^9),其内以泥岩、页岩、砂岩、灰岩为代表的容矿岩石金背景值(0.51×10^–9)也高于扬子克拉通(0.39×10^–9)。研究区不同构造单元及沉积相中水系沉积物金背景值受岩石金背景值的制约。金的地球化学省是地壳演化过程中不均匀分布的高金背景岩石、金矿化作用及金矿床次生风化作用相互叠加的结果。该研究有助于有效判断异常成因、识别成矿作用存在,对研究金的区域成矿规律和聚焦找矿靶区具有重要意义。     

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique

ABSTRACT

The reliable and robust monitoring of air temperature distribution is essential for urban thermal environmental analysis. In this study, a stacking ensemble model consisting of multi-linear regression (MLR), support vector regression (SVR), and random forest (RF) optimized by the SVR is proposed to interpolate the daily maximum air temperature (T_max) during summertime in a mega urban area. A total of 10 geographic variables, including the clear-sky averaged land surface temperature and the normalized difference vegetation index, were used as input variables. The stacking model was compared to Cokriging, three individual data-driven methods, and a simple average ensemble model, all through leave-one-station-out cross validation. The stacking model showed the best performance by improving the generalizability of the individual models and mitigating the sensitivity to the extreme daily T_max. This study demonstrates that the stacking ensemble method can improve the accuracy of spatial interpolation of environmental variables in various research fields.     

Direct Observations of Atmospheric Transport and Stratosphere-Troposphere Exchange from High-Precision Carbon Dioxide and Carbon Monoxide Profile Measurements

The balloon-borne Aircore campaign was conducted in Inner Mongolia,China,on June 13 and 14 2018,which detected carbon dioxide(CO_2) and carbon monoxide(CO) profiles from surface to 24 km,showing strong positive and negative correlations between 8 km and 10 km on 13 and 14 June,respectively.Backward trajectories,meteorological analyses,and CO_2 horizontal distributions were combined to interpret this phenomenon.The results indicated that the source region experienced a stratospheric intrusion and exhibited a large horizontal CO_2 gradient;namely,lower CO concentrations corresponded to higher CO_2 concentrations and vice versa.The laminar structure with multiple origins resulted in the highly negative correlation between CO_2 and CO in the upper troposphere on 14 June.The contribution of stratospheric air mass to the upper troposphere and that of tropospheric air mass to the lower stratosphere were 26.7% and24.3%,respectively,based on a mass balance approach.Another interesting phenomenon is that CO_2 and CO concentrations increased substantially at approximately 8 km on 13 June.An analysis based on the backward trajectory implied that the air mass possibly came from anthropogenic sources.The slope of CO_2/CO representing the anthropogenic sources was 87.3 ppm ppm~(-1).In addition,the CO_2 profile showed that there was a large CO_2 gradient of 4 ppm km-1 within the boundary layer on 13 June,and this gradient disappeared on 14 June.     

陆表植被碳汇计量管理平台设计与实现

为了实现陆表植被碳汇量精准计测和森林资源的可持续发展,本文采用C#面向对象高级程序设计语言,利用组件式GIS技术和第三方UI控件进行开发,建立了一套现代化、信息化的管理平台。该平台实现了GIS基础操作、森林基础数表、森林资源二类调查、森林观测数据后处理和森林经营辅助决策五大功能模块,构建了较为系统的陆表植被碳汇计量管理基础业务体系。满足了森林资源管理和经营的需要,实现了对森林资源一体化经营和管理。