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.     

成都市土地利用时空结构变化研究

随着经济的高速发展,城市化对土地利用结构变化的影响较大,土地利用时空结构变化研究对土地规划及可持续发展具有重要意义。本文对成都市2000—2020年的土地利用数据进行处理,计算土地利用年变化率(R)、土地利用程度综合指数和土地利用变化量(S),得出以下结论:(1)耕地和建设用地变化幅度较大,总体呈增大的趋势;林地和其他土地总体呈减小趋势;水域面积呈现先减少后增加的趋势;(2)2000—2020年以来,土地利用程度综合指数整体呈上升趋势,土地利用日趋集约化,土地利用类型更加单一化;(3)成都市在2000—2005年、2005—2010年和2015—2020年土地处于发展期;而在2010—2015年,土地处于衰退期;并简要分析得到对土地利用结构的主要影响为人口变动、自然因素、产业调整等方面。     

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。     

单细胞转录组测序技术及其在肌内脂肪细胞研究中的应用

单细胞转录组测序(single-cell RNA sequencing,scRNA-seq)技术在单细胞水平对转录组进行测序,可从表达量、细胞量及细胞组成等多种角度描述样本,主要包括单细胞分离、mRNA反转录、文库构建、转录组测序和数据分析等步骤。单细胞分离是scRNA-seq技术操作的第一步,常用的细胞分离方法有连续稀释法、显微操作法、荧光激活流式细胞术、激光捕获显微切割术和微流控技术。基于不同细胞捕获、cDNA扩增和文库构建开发了许多scRNA-seq方法,如CEL-seq2、Drop-seq、MARS-seq、SCRB-seq、Smart-seq、Smart-seq2等。与传统测序方法相比,scRNA-seq可识别单个细胞的基因表达信息、记录细胞的空间位置、跟踪不同细胞谱系在分化过程中的轨迹,这为研究难以大量提取的肌内脂肪细胞分子特异性和发生分化过程带来极大便利。作者简要介绍了scRNA-seq技术的关键步骤,比较分析了单细胞分离和转录组测序方法的优缺点,综述了肌内脂肪细胞的起源以及scRNA-seq在肌内脂肪细胞的亚群和标记基因鉴定以及细胞分化轨迹追踪中的应用,以期为肌内脂肪细胞的深入研究提供参考依据。     

Unraveling the morphological patterns of a subantarctic eelpout: a geometric morphometric approach

Phenotypic variation in organisms depends on the genotype and the environmental constraints of the habitat that they exploit. Therefore, for marine species inhabiting contrasting aquatic conditions, it is expected to find covariation between the shape and its spatial distribution. We studied the morphology of the head and cephalic sensory canals of the eelpout Austrolycus depressiceps (4.5–22.5 cm TL) across its latitudinal distribution in South Pacific (45°S–55°S). Geometric morphometric analyses show that the shape varied from individuals with larger snout and an extended suborbital canal to individuals with shorter snouts and frontally compressed suborbital canal. There was size variation across the sampled populations, but that size does not have a clear latitudinal gradient. Only 8% of the shape variation relates to this size variation (allometry), represented by a decrease in the relative size of the eye, and a depression of the posterior margin of the head. There were spatial differences in the shape of the head, but these differences were probably caused by allometric effects. Additionally, 2 of the canals of the cephalic lateralis pores and the head shape showed modularity in its development. This study shows that the morphology of marine fish with a shallow distribution varies across distances of hundreds of kilometers (i.e., phenotypic modulation).     

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?     

西藏日喀则地区马铃薯气候适宜度模型分析及其时空变化特征研究

基于日喀则地区7个国家气象站1980—2021年逐日气象数据,分析构建了高原马铃薯气温(T)、光照(S)、水分(W)、气候(C)适宜度评价模型并对其时空变化特征进行分析,结果发现：近42年日喀则地区S平均值为0.82,呈逐年弱下降趋势,T、W、C适宜度平均值分别为0.79、0.64、0.61,均呈逐年上升趋势;马铃薯全生育期的光热资源都在最合理区域(S、T≥0.7),满足了其长发育需求。W在播种～出苗期(W=0.62)、开花～成熟期(W=0.44)呈现较低水平,是制约日喀则地区马铃薯生长发育的最主要因素;T、S空间分布较均匀,且呈现自西向东、自南北向中递增趋势,W空间分布不均匀。桑珠孜区—南木林县一带地区为马铃薯综合气候适宜度高值区(C>0.6),适宜大力发展马铃薯产业。由本文建立的日尺度气候适宜度评价模型得出的年际变化和区域特征结果与实际情况比较一致,为了解气候变化下日喀则马铃薯生长发育适宜度的时空变化提供依据。     

Geographic Information System‐Based Analysis of the Spatial and Spatio‐Temporal Distribution of Zoonotic Cutaneous Leishmaniasis in Golestan Province,North‐East of Iran

Zoonotic cutaneous leishmaniasis (ZCL), a vector‐borne disease, poses serious psychological as well as social and economic burden to many rural areas of Iran. The main objectives of this study were to analyse yearly spatial distribution and the possible spatial and spatio‐temporal clusters of the disease to better understand spatio‐temporal epidemiological aspects of ZCL in rural areas of an endemic province, located in north‐east of Iran. Cross‐sectional survey was performed on 2983 recorded cases during the period of 2010–2012 at village level throughout the study area. Global clustering methods including the average nearest‐neighbour distance, Moran's I, general G indices and Ripley's K‐function were applied to investigate the annual spatial distribution of the existing point patterns. Presence of spatial and spatio‐temporal clusters was investigated using the spatial and space–time scan statistics. For each year, semivariogram analysis and all global clustering methods indicated meaningful persistent spatial autocorrelation and highly clustered distribution of ZCL, respectively. Eight significant spatial clusters, mainly located in north and northeast of the province, and one space–time cluster, observed in northern part of the province and during the period of September 2010–November 2010, were detected. Comparison of the location of ZCL clusters with environmental conditions of the study area showed that 97.8% of cases in clusters were located at low altitudes below 725 m above sea level with predominantly arid and semi‐arid climates and poor socio‐economic conditions. The identified clusters highlight high‐risk areas requiring special plans and resources for more close monitoring and control of the disease.     

金沟岭林场云冷杉林空间分布格局及更新研究

用距离方法(T-square)研究金沟岭林场主要森林类型云冷杉林的空间分布格局,经检验,2个云冷杉林分的林木空间分布格局分别为集聚分布和随机分布.其中2002年择伐的林分还没有得到恢复,因此呈集聚分布;而1988年择伐的林分已恢复了原始林的特征,其空间格局呈随机分布.由调查的更新数据可以清晰看出,研究林分更新状况很好.