湿地红线的确定与管理

湿地红线是国家湿地保护法律法规的另一种体现形式，是湿地管理的手段和工具，也是进行湿地评价的尺度和标准。湿地红线的制定已到了关键时期，条件已经成熟，利用目前最新的湿地调查成果，从生态系统安全、社会文化和经济三个方面进行理论指导，科学地确定湿地的数值与空间红线；同时，为了让生态红线真正发挥作用，还需要制定相配套的法律法规，建立相应的考核机制、出台相关经济政策等作为保障。     

海南省城乡统筹发展模式与路径分析

分析了海南省城乡统筹的相关因素，认为海南省的城乡统筹应以中心城镇建设为先导，探索一条城乡互动，多中心网络状空间整合发展模式。相应提出了城乡、人口、产业与生态空间整合等4种城乡统筹发展的路径。     

茶叶生产格局演变及空间集聚效应研究——以广东省为例

明确茶叶生产格局的演变特征和集聚效应,对广东省茶叶产业规划布局具有重要意义。引入空间重心模型,运用GIS技术和空间自相关分析方法分析广东省茶叶生产格局的演变过程、演变特征,采用空间自相关分析探究茶叶生产的空间集聚效应,研究结果表明：（1）1992—2017年广东省茶叶种植面积和茶叶产量稳步提升,2008年以后增速较为明显;（2）茶叶生产空间差异明显。粤北和粤东地区茶叶种植总面积占到广东全省的85%以上,茶叶产量占到83%以上,粤西和珠三角缩减较为明显;（3）广东省茶叶生产重心具有整体向东偏北迁移的趋势。茶园面积和茶叶产量重心的东移反映出广东省茶叶生产已呈现逐渐向粤东和粤北地区集聚的态势;（4）广东省茶叶生产空间极化和空间溢出作用显著,已经形成了以饶平、潮安、大埔、丰顺、五华、兴宁、英德、东源等县区的茶叶生产集聚区,构成了广东省茶叶生产的“热点区”,并对周边县市产生带动和刺激效应;（5）地理环境等自然因素是茶园规模扩张的基础,政府的政策激励和支持是茶叶产业形成的重要驱动力,巨大的市场消费力是茶叶产业迅速发展的直接因素,新品种和新技术的应用和推广是茶园面积扩张的重要原因。广东省茶叶生产空间集聚效应进一步增强,应根据地区自然资源、地理条件、种植传统等因素,推进茶叶生产区域集群化发展,提升广东茶叶的市场竞争力。     

Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis

Dissolved oxygen (DO) is a key ecological factor to measure the quality of water in the aquaculture. As the pond water body is affected by the breeding environment, the spatial distribution of DO shows a certain law in the entire pond. Therefore, to simulate the distribution of DO in aquaculture waters and grasp the temporal and spatial variation of DO is the key to achieving precise regulation of DO. For this purpose, this paper proposed a method for simulating the temporal and spatial distribution of DO in pond culture based on a sliding window-temporal convolutional network together with trend surface analysis (SW-TCN-TSA). This paper first utilized SW to construct DO data sets with different prediction durations, and then used the improved TCN model to realize one-dimensional time series prediction for DO at single monitoring point. Based on the prediction results of DO, a TSA method was performed on the predicted values of DO at the extreme moments of all discrete monitoring points, so as to realize the simulation of the temporal and spatial distribution of DO in the pond. Experimental results show that the SW-TCN model has better prediction performance for one-dimensional time series prediction of DO. Compared with traditional deep networks, such as CNN, GRU, LSTM, CNN-GRU and CNN-LSTM, the values of evaluation indicators (MSE, MAE and RMSE) have been greatly improved. In the process of trend surface fitting, all fitting R² of DO at different water depths are higher than 0.9, indicating that the TSA can accurately reflect the temporal and spatial distribution of DO. This method can provide a basis for the prediction and early warning of DO in the three-dimensional space of the pond and has high practicability in aquaculture.     

宁夏中部生态移民区土地利用时空变化分析

通过解译宁夏中部红寺堡区1989年、1999年、2006年、2012年TM遥感影像,获取该区域生态移民前后4期土地利用数据,对1989~2012年以来土地利用变化情况进行了分析。结果表明,各个时间段的土地利用变化差异性显著。1989~1999年,由于大规模的土地开荒和红寺堡灌区的建设,耕地面积持续增加,同时该区域开始有了水浇地,而林草面积相应减少;1999~2006年,由于退耕还林还草政策的实施,耕地中的旱地被逐渐退耕为草地或发展为水浇地,林草面积开始由减少转为增加,区域土地利用开始合理化;2006~2012年,随着生态移民工程和生态建设工程的成熟发展,林草覆盖面积进一步增加,水浇地面积继续稳步增加,而未利用地和旱地面积持续下降。研究结果为区域土地资源的合理利用及生态移民工程的进一步顺利开展提供可靠依据。     

基于粒子群算法的海洋平台热介质锅炉PID参数优化

文中采用串级控制作为海洋平台热介质锅炉的控制方案，采用粒子群算法对PID控制器的比例带啄、积分时间Ti进行最优化，从而实现热介质锅炉温度的自动控制。通过粒子群算法进行串级控制系统PID参数优化，提高了控制系统的控制精度、可靠性、稳定性，具有工业应用价值。     

藏青杨虫瘿的空间分布格局

为明确蚜虫在西藏工布自然保护区藏青杨(Populus szechuanica var.tibetica)叶片上的危害特征及其产生虫瘿的分布特点,基于野外调查数据,应用扩散系数(C)、Morisita指数(I)、Cassie指标(Ca)、平均拥挤度(M*)、Lloyd聚块性指标、负二项参数(K)、Iwao回归分析法、Taylor幂指数法对该区藏青杨叶片上虫瘿空间分布格局进行研究。结果表明,藏青杨叶片左上虫瘿出现率为25.36%、左下为24.30%、右上为24.98%、右下为25.36%,叶片左边为49.66%、右边为50.34%;藏青杨不同方向叶片上虫瘿出现的比率均在25%左右。藏青杨叶片上虫瘿主要以3~7个聚集的形式存在。虫瘿出现频次(y)与虫瘿数量级别(x)的拟合曲线为y=-2.150 3x~2+23.159x-7.309 1(R~2=0.818 4)。6级虫瘿数量最多,占总虫瘿数的22.15%。由虫瘿空间分布参数可知,藏青杨叶片上虫瘿空间分布呈聚集型,但虫瘿聚集强度不大。总体上虫瘿个体群大小随虫瘿密度的增加而增大,个体群指数L值平均大小为7.20。经拟合,虫瘿空间分布格局Iwao M*-M回归模型为M*=1.059 9m+0.523 4(R~2=0.993 9),Taylor模型为log S2=1.043 4logm+0.043 7(R~2=0.996 4),两模型均判定为聚集分布。综上,虫瘿在藏青杨不同方位的出现率相近,但在叶片上均呈聚集分布,虫瘿的聚集除与环境因素有关外,也与其生物学特性相关。     

GIS内外业一体化数据双向同步技术研究

对空间数据内外业一体化作业过程中数据双向同步技术进行研究。阐述GIS数据双向同步的原理、数据还原原理,提出了基于最优差异化机制的双向数据同步模型,并给出此模型基础上的技术实现案例。实践表明,此方案能很好地解决GIS内外业一体化的数据同步需求。     

Spatial Distribution of Surface Soil Acidity,Electrical Conductivity,Soil Organic Carbon Content and Exchangeable Potassium,Calcium and Magnesium in Some Cropped Acid Soils of India

Land degradation is a global problem. Best management of degraded land can be done by evaluating the spatial variability of soil properties including chemical properties of degraded land and mapping such variations. Since, a significant portion of arable land in India is chemically degraded due to soil acidity; the present study was conducted to study the spatial variability of soil acidity (pH), electrical conductivity (EC), soil organic carbon (OC) content, exchangeable potassium (K⁺), calcium (Ca²⁺) and magnesium (Mg²⁺) contents in some cropped acid soils of India. A total of four hundred (one hundred from each series) representative surface (0–0.15 m depth) soil samples were collected from arable soils representing four soil series namely Hariharapur, Debatoli, Rajpora and Neeleswaram situated in Orissa, Jharkhand, Himachal Pradesh and Kerala states of India, respectively, and were analyzed. Soil acidity (pH between 3.90 and 6.45) showed a low variability, in contrast to other soil properties, which showed moderate variability. The coefficients of variation varied from 32.4 to 74.3, 31.2 to 50.9, 45.6 to 100, 71.9 to 93.0 and 59.0 to 79.8% for EC (mean between 0.05 and 0.09 dS m⁻¹), OC (mean between 0.29 to 1.86%), exchangeable K⁺ (mean between 39.1 and 77.7 mg kg⁻¹), Ca²⁺ (mean between 148 and 293 mg kg⁻¹) and Mg²⁺ (mean between 111 and 191 mg kg⁻¹), respectively. Soil pH and OC content were positively and significantly correlated with exchangeable K⁺, Ca²⁺ and Mg²⁺ content. Geostatistical analysis revealed that the best fit models were gaussian, exponential and spherical for different soil properties with moderate to strong spatial dependency. Copyright © 2014 John Wiley & Sons, Ltd.     

我国松毛虫发生率的空间分布格局及其驱动因子

了解我国松毛虫发生的空间分布格局及其驱动因子, 对松毛虫暴发的预防?控制和治理具有重要意义?本研究基于我国各行政区2004年-2012年间每年松毛虫发生面积及其寄主植物面积, 使用一般线性模型分析气候因子是否以及如何驱动我国松毛虫发生的空间分布格局?结果表明:在全国尺度上, 最暖季降水量是松毛虫发生的主要气候驱动因子, 松毛虫平均发生率与最暖季降水量显著正相关?在最暖季降水量的作用下, 我国松毛虫的发生呈现明显的空间分布格局, 最暖季降水量较高的南方和北方部分地区松毛虫发生率较高, 而降水量较低的西北和青藏地区松毛虫发生率较低?我们的研究结果可为松毛虫暴发的预防和管理工作提供指导?