海南铜鼓岭国家级自然保护区海域珊瑚的分布及其健康状况评价

沿铜鼓岭国家级自然保护区海岸南北两侧沿岸布设8个站位,采用断面监测法调查了珊瑚的种类多样性、覆盖率、死亡率和补充量等指标,并利用健康指数（CI）评估了铜鼓岭珊瑚礁生态系统的健康状况和遭受环境压力的程度.本次调查共发现铜鼓岭造礁石珊瑚11科23属40种,软珊瑚8种,造礁石珊瑚和软珊瑚覆盖率分别为13.8%和19.4%,该海域珊瑚礁生态系统保存较为完好和健康.铜鼓岭珊瑚的覆盖率呈现明显的空间分布特征,北侧珊瑚覆盖率为0.1%～9.8%之间,远低于南侧的水平（8.1%～66.1%）.从珊瑚补充量来看,铜鼓岭北侧珊瑚的恢复能力基本为零,而铜鼓岭以南的区域可以有0.4个/m^2珊瑚新个体.通过比较2006年以来珊瑚种类、覆盖率、死亡率、补充量、健康指数等方面的调查数据,认为铜鼓岭保护区的珊瑚礁生态系统得到有效保护,珊瑚礁生态系统处于健康状态.     

Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies

A computational canopy volume (CCV) based on airborne laser scanning (ALS) data is proposed to improve predictions of forest biomass and other related attributes like stem volume and basal area. An approach to derive the CCV based on computational geometry, topological connectivity and numerical optimization was tested with sparse-density, plot-level ALS data acquired from 40 field sample plots of 500–1000 m² located in a boreal forest in Norway. The CCV had a high correspondence with the biomass attributes considered when derived from optimized filtrations, i.e. ordered sets of simplices belonging to the triangulations based on the point data. Coefficients of determination (R²) between the CCV and total above-ground biomass, canopy biomass, stem volume, and basal area were 0.88–0.89, 0.89, 0.83–0.97, and 0.88–0.92, respectively, depending on the applied filtration. The magnitude of the required filtration was found to increase according to an increasing basal area, which indicated a possibility to predict this magnitude by means of ALS-based height and density metrics. A simple prediction model provided CCVs which had R² of 0.77–0.90 with the aforementioned forest attributes. The derived CCVs always produced complementary information and were mainly able to improve the predictions of forest biomass relative to models based on the height and density metrics, yet only by 0–1.9 percentage points in terms of relative root mean squared error. Possibilities to improve the CCVs by a further analysis of topological persistence are discussed.     

Topographic and spectral data resolve land cover misclassification to distinguish and monitor wetlands in western Uganda

Wetlands provide vital wildlife habitat and ecosystem services, but changes in human land use has made them one of the world’s most threatened ecosystems. Although wetlands are generally protected by law, growing human populations increasingly drain and clear them to provide agricultural land, especially in tropical Africa. Managing and conserving wetlands requires accurately monitoring their spatial and temporal extent, often using remote sensing, but distinguishing wetlands from other land covers can be difficult. Here, we report on a method to separate wetlands dominated by papyrus (Cyperus papyrus L.) from spectrally similar grasslands dominated by elephant grass (Pennisetum purpureum Schumach.). We tested whether topographic, spectral, and temperature data improved land cover classification within and around Kibale National Park, a priority conservation area in densely populated western Uganda. Slope and reflectance in the mid-IR range best separated the combined papyrus/elephant grass pixels (average accuracy: 86%). Using a time series of satellite images, we quantified changes in six land covers across the landscape from 1984 to 2008 (papyrus, elephant grass, forest, mixed agriculture/bare soil/short grass, mixed tea/shrub, and water). We found stark differences in how land cover changed inside versus outside the park, with particularly sharp changes next to the park boundary. Inside the park, changes in land cover varied with location and management history: elephant grass areas decreased by 52% through forest regeneration but there was no net difference in papyrus areas. Outside the park, elephant grass and papyrus areas decreased by 61% and 39%, mostly converted to agriculture. Our method and findings are particularly relevant in light of social, biotic, and abiotic changes in western Uganda, as interactions between climate change, infectious disease, and changing human population demographics and distribution are predicted to intensify existing agricultural pressure on natural areas.     

大巴山国家地质公园构造地貌景观构造变形期次研究

通过野外路线考察,典型地区填图,地质、地形图判读发现,大巴山国家地质公园主要构造地貌景观横向分布呈现由NE至SW即从造山带向前陆盆地方向逐渐减弱特征;纵向上明显受早期构造格局和岩石类型约束,在区域上呈现NW—SE向延展的平行岭谷地貌,山峰和谷地的走向与地质构造线基本一致。通过对主要构造地貌景观构造应力和变形期次判别探讨,确定构造地貌景观形成的构造期次大致为三期,应力主要来自于NE—SW、SE—NW向,反映该区不仅受到NE—SW向的冲断挤压变形作用,还受到SE—NW向的右旋剪切挤压变形作用,推测是由多期受力叠加改造而成。通过ESR及14C定年确定距今12 Ma以来,该区在500 kaBP、278 kaBP、29 kaBP分别出现三次规模较大的快速抬升运动,提供了与其构造景观形成密切相关的新构造运动年代学证据。     

生态系统服务社会价值与生态价值的权衡与协同关系——以普达措国家公园为例

以香格里拉普达措国家公园为研究区,借助SolVES模型和InVEST模型,分别度量其社会价值（美学价值、文化价值、游憩价值）和生态价值（生境质量、碳储量、水源供给）的空间特征,并运用双变量空间自相关分析对二者空间权衡与协同关系进行研究。研究表明：① 社会价值的高值区呈“多核心,多条状”的空间格局,社会价值指数高达8.6（该指数介于1~10）,且距水体的距离越近对社会价值的贡献越大（贡献度为45.9%）;② 生态价值良好及优的空间范围占园区面积的1/2（49.91%）,主要位于原始森林保存良好的碧塔海片区和尼汝东北部扎诺一带;③ 社会价值与生态价值之间存在显著的空间依赖性,其中社会价值低,生态价值高的区域是园区最主要的空间聚集特征。该研究可为生态系统服务的可持续管理决策提供科学依据,以及有助于完善基于生态系统服务的社会?生态系统分析理论框架。     

自然保护地社区居民感知冲突的空间响应及形成机制——以西昌邛海国家湿地公园为例

以西昌邛海国家湿地公园为例,采用半结构访谈与参与式制图相结合的方法对当地居民进行调查。通过质性+空间的混合分析方法探讨了居民感知冲突的类型、空间响应分布及其形成机制,旨在为自然保护地的冲突管理提供参考,实现人地关系协调发展。结果显示：① 社区居民感知有7种冲突类型,分别为生计保障不足、活动空间压缩、政策措施缺位、情感支持弱化、日常生活不便、环境质量降低和生产经营矛盾,前5种冲突总占比达76.4%,构成了当地的主要冲突;② 冲突的空间响应是居民对冲突关注度和不满意程度的共同反映,总体上呈现出高值区相对独立、低值区连片分布的空间格局,响应水平较高的区域,具有较高的冲突显示度和管理优先等级;③ 冲突的空间响应是多因素共同作用的复杂现象,其中旅游开发程度和生计策略的影响较大,交通出行管理、居住区类型、土地利用类型和房屋修建管理的影响也不容忽视,总体反映了邛海生态建设、旅游开发、政策与制度安排、社会经济等基本情况,分别为冲突响应提供了原始动力、外部推动力、结构性动力和社会性动力。     

PTrees: A point-based approach to forest tree extraction from lidar data

This paper introduces PTrees, a multi-scale dynamic point cloud segmentation dedicated to forest tree extraction from lidar point clouds. The method process the point data using the raw elevation values (Z) and compute height (H = Z − ground elevation) during post-processing using an innovative procedure allowing to preserve the geometry of crown points. Multiple segmentations are done at different scales. Segmentation criteria are then applied to dynamically select the best set of apices from the tree segments extracted at the various scales. The selected set of apices is then used to generate a final segmentation. PTrees has been tested in 3 different forest types, allowing to detect 82% of the trees with under 10% of false detection rate. Future development will integrate crown profile estimation during the segmentation process in order to both maximize the detection of suppressed trees and minimize false detections.     

基于Autonomy的国土资源档案知识挖掘与应用平台研究

本文在分析大数据背景下国土资源信息化面临的挑战及国土资源档案数据现状的基础上,提出基于Autonomy知识与服务架构,重点阐述架构的三个组成部分：数据采集平台、本体构建与分析平台、数据处理平台,介绍了基于Autonomy Idol的应用功能设计实例。探讨海量国土资源档案数据管理与应用的新方式,为国土资源数据档案的管理提供大数据支持的理论基础。     

Chemical and physical properties affecting strontium distribution coefficients of surficial-sediment samples at the Idaho National Engineering and Environmental Laboratory, Idaho

 The U.S. Geological Survey and Idaho State University, in cooperation with the U.S. Department of Energy, conducted a study to determine strontium distribution coefficients (K_ds) of surficial sediments at the Idaho National Engineering and Environmental Laboratory (INEEL). Batch experiments using synthesized aqueous solutions were used to determine K_ds, which describe the distribution of a solute between the solution and solid phase, of 20 surficial-sediment samples from the INEEL. The K_ds for the 20 surficial-sediment samples ranged from 36 to 275 ml/g. Many properties of both the synthesized aqueous solutions and sediments used in the experiments also were determined. Solution properties determined were initial and equilibrium concentrations of calcium, magnesium, and strontium, pH and specific conductance, and initial concentrations of potassium and sodium. Sediment properties determined were grain-size distribution, bulk mineralogy, whole-rock major-oxide and strontium and barium concentrations, and Brunauer-Emmett-Teller (BET) surface area. Solution and sediment properties were correlated with strontium K_ds of the 20 surficial sediments using Pearson correlation coefficients. Solution properties with the strongest correlations with strontium K_ds were equilibrium pH and equilibrium calcium concentration correlation coefficients, 0.6598 and –0.6518, respectively. Sediment properties with the strongest correlations with strontium K_ds were manganese oxide (MnO), BET surface area, and the >4.75-mm-grain-size fraction correlation coefficients, 0.7054, 0.7022, and –0.6660, respectively. Effects of solution properties on strontium K_ds were interpreted as being due to competition among similarly charged and sized cations in solution for strontium-sorption sites; effects of sediment properties on strontium K_ds were interpreted as being surface-area related. Multivariate analyses of these solution and sediment properties resulted in r² values of 0.8071 when all five properties were used and 0.8043 when three properties, equilibrium pH, MnO, and BET surface area, were used. Received: 30 November 1998 · Accepted: 16 February 1999