Fixed-point observation of Oncomelania nosophora in Kofu Basin--establishment of monitoring system of schistosomiasis japonica in Japan

There are still many Oncomelania snails that inhabit the Kofu Basin, Yamanashi Prefecture, Japan, which had been declared free of schistosomiasis japonica. Due to the need to monitor the situation, a fixed-point observation system using GIS from GPS is being examined. In addition, in broad present or former endemic areas, survey areas are being managed by remote sensing with satellite images or aerial photographs. A simple and effective monitoring method by mobile GIS using PDAs was developed, risk or hazard maps were prepared and a system that would enable a response in the event of reemergence is being examined.     

Time-Space Characterization of Commercial Seaweed Species from the Gulf of California using a Geographical Information System

The Gulf of California, considered one of the most pristine areas of the world, hosts more than 50 seaweed species that have commercial applications. Only one species, however, is presently harvested commercially. In order to establish potential areas for seaweed use, a Geographical Information System (GIS) was used to determine areas for potential seaweed exploitation based on more than 9000 literature records. The system allows for the determination of sites, areas and times of the year when commercial species may be available. This information is being considered in a zoning program that would determine the areas of the Gulf sustainable for use or conservation. Temperature data were also included in order to determine potential areas for seaweed cultivation. GIS proves to be a powerful tool for large-scale management of seaweed resources.     

Breeding site selection by bearded vulture (Gypaetus barbatus) and Eurasian griffon (Gyps fulvus) in the Caucasus

Occupied and unoccupied sites of bearded vulture Gypaetus barbatus and Eurasian griffon Gyps fulvus were located in the Caucasus (mainly Georgia). Habitat variables related to nest-site characteristics, climate, terrain, human disturbance and food availability were used to construct predictive models of vulture breeding site selection by using a geographic information system (GIS), logistic regression and Bayesian statistical inference. The probability of bearded vulture occupancy of a cliff ledge that was safe from climatic adversity, human disturbance and predation was positively correlated with the following variables measured within a 20-km radius of the ledge: mean elevation, mean slope, the percentage of open areas, mean distance to roads, number of globally threatened wild goats Capra cylindricornis, C. caucasica and C. aegargus , and annual biomass of dead livestock. The probability of such a cliff ledge being occupied by Eurasian griffon was negatively correlated with annual rainfall at the ledge and positively correlated with the percentage of open areas and annual biomass of dead livestock within 20 km of the ledge. Provided that GIS coverage of the habitat variables is available, these models can be of help in various areas of the Caucasus and elsewhere to predict possible nest occurrence areas, and highlight sites where vultures may occur in the future if the population grows because of conservation or other activities.     

GIS as a tool for identification of forest water protection areas

Two algorithms are proposed to model ecologically substantiated forest water protection areas using digital elevation model (DEM) and spatial analysis features of a geographic information system (GIS).     

雉鸡(Phasianus colchicus)营巢生境的模拟分析研究

将多元统计学方法与地理信息系统结合对动物的栖息地进行适宜性分析,是近年动物栖息地研究者和管理者都十分感兴趣的方面。本研究采用马氏距离法,利用地理信息系统模拟甘肃雉鸡的营巢生境。模拟结果表明,与已知营巢生境相似水平为0.95的区域面积,仅占整个研究区的0.68%,而与已知营巢生境迥然不同（P＜0.05）的区域面积占79.08%。营巢生境与非营巢生境在生境类型组成和地形因素上存在多方差异,营巢生境中农田和草坡占有极大比例,用于营巢的区域总是更接近生境的边缘。特别是接近于农田、草坡和白桦阔叶林等生境,表明倾向于在这几种生境的边缘附近营巢。营巢生境的平均海拔比非营巢生境低,坡度也较缓,坡向则更偏于东南方。在同一生境类型内部,用于营巢的区域和不利用的区域之间也存在很大差别,营巢区域总是更接近生境的边缘。某一生境周围的其它生境类型也会影响雉鸡的营巢选择。     

Integration of acoustic telemetry and GIS to identify potential spawning areas for lake trout (Salvelinus namaycush)

Locations of potential spawning areas for lake trout (Salvelinus namaycush) were predicted in Lake Opeongo, Ontario, Canada using information gained via acoustic telemetry and geographic information system (GIS) technologies. From 1998 to 2000, 18 adult lake trout (mean fork length 553 mm) implanted with acoustic transmitters (battery life 2 years) were manually tracked. For evening fall locations within the erosive zone of the lake (determined using an existing sedimentation model), habitat variables (slope, depth, and effective fetch) were summarised using GIS. Sites selected by lake trout during the spawning window were in areas of mean fetch equal to 1.5 km and mean slope of 10.6% (n = 50 fixes). We used GIS to identify areas that matched the mean habitat criteria and thus locate potential spawning areas. This model correctly identified 19 of 21 known spawning sites, as well as additional sites used by spawning females in an earlier telemetry study. Depths of traditional fall netting sites are shallow compared to areas in which telemetered lake trout were found during evenings of the spawning period (means 3.1 vs. 5.1 m, respectively). Through the use of information on spawning habitat selection gained through telemetry and knowledge of the physical characteristics of the lake, we provide an alternative means of identifying potential spawning habitat for lake trout.     

Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia

The degree to which primary production, soil carbon, and trace gas fluxes in tropical forests of the Amazon are limited by moisture availability and other environmental factors was examined using an ecosystem modelling application for the country of Brazil. A regional geographical information system (GIS) serves as the data source of climate drivers, satellite images, land cover, and soil properties for input to the NASA Ames-CASA (Carnegie-Ames-Stanford Approach) model over a 8-km grid resolution. Simulation results lead us to hypothesize that net primary production (NPP) is limited by cloud interception of solar radiation over the humid north-western portion of the region. Peak annual rates for NPP of nearly 1.4 kg C m^–2 year^–1 are localized in the seasonally dry eastern Amazon in areas that we assume are primarily deep-rooted evergreen forest cover. Regional effects of forest conversion on NPP and soil carbon content are indicated in the model results, especially in seasonally dry areas. Comparison of model flux predictions along selected eco-climatic transects reveal moisture, soil, and land use controls on gradients of ecosystem production and soil trace gas emissions (CO₂, N₂O, and NO). These results are used to formulate a series of research hypotheses for testing in the next phase of regional modelling, which includes recalibration of the light-use efficiency term in NASA-CASA using field measurements of NPP, and refinements of vegetation index and soil property (texture and potential rooting depth) maps for the region.     

小五台亚高山草甸与生境关系分析

该文结合野外植被调查,在获取更为详细的景观尺度生境数据基础上,探讨了小五台亚高山草甸植物群落与直接环境因子之间的定量关系。典范对应分析(CCA)的结果表明:1) 在小五台的亚高山草甸分布地段,热量、养分和水分条件构成了其生境特征差异的基本格局;2) 用效应温度和太阳直接辐射量所表征的热量因子,指示出研究区植物群落最基本的分化,说明热量条件是制约研究区草甸群落分布的最重要的因子;3) 养分状况的差异,除了说明生境条件本身的差异外,也在一定程度上指示了放牧干扰对群落分布的影响;4) 由地形等因素控制的土壤表层水分状况,则反映了草甸植物群落分布所受到的水分条件影响。     

Predictive modelling and spatial mapping of freshwater fish and decapod assemblages using GIS and neural networks

1. We used stream fish and decapod spatial occurrence data extracted from a national database and recent surveys with geospatial landuse data, geomorphologic, climatic, and spatial data in a geographical information system (GIS) to model fish and decapod occurrence in the Wellington Region, New Zealand. 2. To predict the occurrence of each species at a site from a common set of predictor variables we used a multi‐response, artificial neural network (ANN), to produce a single model that predicted the entire fish and decapod assemblage in one procedure. 3. The predictions from the ANN using this landscape scale data proved very accurate based on evaluation metrics that are independent of species abundance or probability thresholds. The important variables contributing to the predictions included the latitudinal and elevational position of the site reach, catchment area, average air temperature, the vegetation type, landuse proportions of the catchment, and catchment geology. 4. Geospatial data available for the entire regional river network were then used to create a habitat‐suitability map for all 14 species over the regional river network using a GIS. This prediction map has many potential uses including: monitoring and predicting temporal changes in fish communities caused by human activities and shifts in climate, identifying areas in need of protection, biodiversity hotspots, and areas suitable for the reintroduction of endangered or rare species.     

Development of the major pathways for neurite outgrowth in the chick hindlimb

To elucidate mechanisms that may control development of the gross anatomical nerve pattern, motoneuron outgrowth into the chick hindlimb was examined using orthograde labeling, scanning and transmission electron microscopy, and Alcian blue staining. Results show that growth cones are not guided by contact with oriented extracellular fibrils, aligned mesenchyme cells, the myotome, or the vasculature. Pathways are not delineated by cell-free space or channels of lower cell density; however, densely packed mesenchyme may form barriers that channel outgrowth. In addition, abundant mesenchymal cell death was seen at the nerve front. This cell death may provide space that encourages growth cone advancement. Pathways often lie along interfaces between areas that stain darkly and lightly with Alcian blue, which specifically stains glycosaminoglycans, and growth cones never penetrate areas that stain intensely, such as the pelvic girdle, which is known to be a barrier to outgrowth. Leading growth cones form specialized contacts with mesenchyme cells, but the predominant contacts are interneuronal. It is proposed that the anatomical pattern of outgrowth is determined by the distribution of preferred substrata, the most preferred substratum being other neurites. Further, neurites tend to prefer loose mesenchyme to dense mesenchyme or areas rich in glycosaminoglycans.     

Application of GIS in epizootiological surveillance of swine trichinellosis in one endemic district in Serbia

Application of new tools for epizootiological investigations in veterinary medicine, such as Geographical Information Systems (GIS), offers a new approach and possibilities for the eradication or control of infectious diseases. GIS is particularly useful for research conducted in small areas strongly impacted by man. Trichinellosis is a world-wide zoonosis, which is endemic in some European countries, Balkan district and Serbia in particular. There are very few data on GIS application in the field of trichinellosis. We here present the application of GIS for mapping Trichinella spp. occurrence and spatial and temporal patterns of Trichinello infection in one endemic district in Serbia. Settlements with trichinellosis were marked and particular points of interest were designated. Data on prevalence of Trichinella infection in domestic swine accompanied by location of foci indicated the existence of disease geographical stationarity. This first report on GIS application in Serbia will facilitate trichinellosis surveillance and monitoring of Trichinella spp. circulation among domestic pigs, and populations of synanthropic and sylvatic animals.     

BorealFireSim: A GIS-based cellular automata model of wildfires for the boreal forest of Quebec in a climate change paradigm

Wildfires are the main cause of forest disturbance in the boreal forest of Canada. Climate change studies forecast important changes in fire cycles, such as increases in fire intensity, severity, and occurrence. The geographical information system (GIS) based cellular automata model, BorealFireSim, serves as a tool to identify future fire patterns in the boreal forest of Quebec, Canada. The model was calibrated using 1950–2010 climate data for the present baseline and forecasts of burning probability up to 2100 were calculated using two RCP scenarios of climate change. Results show that, with every scenario, the mean area burned will likely increase on a provincial scale, while some areas might expect decreases with a low emission scenario. Comparison with other models shows that areas forecasted to have an increase in fire likelihood, overlap with predicted areas of higher vegetation productivity. The results presented in this research aid identifying key areas for fire-dependent species in the near future.     

城市生态系统研究中遥感技术的应用

本文提出并论证了城市生态系统研究与遥感的总体方案及主要研究方向和研究方法。可以认为,用遥感技术作为获取数据的手段,用动态大系统理论分析数据,并借助于专家系统和地理信息系统处理和管理数据,可以解决城市生态系统研究中全方位信息的收集和巨大信息量的处理两大难题;通过引入中间变量把非空间直接可测变量表述为空间直接可测量的函数,从而在专家系统和地理信息系统的支持下扩大遥感技术的应用领域。     

Applying spatial analysis to the agroecology-led management of an indigenous farm in New Zealand

In Aotearoa New Zealand Māori land is often owned by communities and managed by trusts. Under communal ownership, trust managers are expected to provide for their communities in culturally responsive ways, using alternative land-related paradigms. In the context of Māori trust rural land management, geographic information systems (GIS) are seen as a beneficial resource to plan and support important decisions that have community-wide implications. For example, it is much easier to demonstrate visually the putative outcomes of spatial change to large numbers of people with the help of a GIS than it is to verbalise the effects of change. This paper reports on one aspect of such an application to a Māori trust-owned South Island farm, where a GIS-based multi-criteria analysis of terrain and proximity was conducted using also local botanical knowledge input to indicate optimal areas of growth for traditional medicinal plants. The analysis yielded very useful results, with positive feedback received from the local community. As well as the need to verify the approach empirically, there are plans underway to apply GIS in this way to other similarly-managed farms in Aotearoa New Zealand. However, in order to build a more comprehensive decision support resource for farm management, further plant species need to be modelled, and informed by a wider data set that includes detailed soil data.     

Use of Wild Bird Surveillance,Human Case Data and GIS Spatial Analysis for Predicting Spatial Distributions of West Nile Virus in Greece

West Nile Virus (WNV) is the causative agent of a vector-borne, zoonotic disease with a worldwide distribution. Recent expansion and introduction of WNV into new areas, including southern Europe, has been associated with severe disease in humans and equids, and has increased concerns regarding the need to prevent and control future WNV outbreaks. Since 2010, 524 confirmed human cases of the disease have been reported in Greece with greater than 10% mortality. Infected mosquitoes, wild birds, equids, and chickens have been detected and associated with human disease. The aim of our study was to establish a monitoring system with wild birds and reported human cases data using Geographical Information System (GIS). Potential distribution of WNV was modelled by combining wild bird serological surveillance data with environmental factors (e.g. elevation, slope, land use, vegetation density, temperature, precipitation indices, and population density). Local factors including areas of low altitude and proximity to water were important predictors of appearance of both human and wild bird cases (Odds Ratio = 1,001 95%CI = 0,723–1,386). Using GIS analysis, the identified risk factors were applied across Greece identifying the northern part of Greece (Macedonia, Thrace) western Greece and a number of Greek islands as being at highest risk of future outbreaks. The results of the analysis were evaluated and confirmed using the 161 reported human cases of the 2012 outbreak predicting correctly (Odds = 130/31 = 4,194 95%CI = 2,841–6,189) and more areas were identified for potential dispersion in the following years. Our approach verified that WNV risk can be modelled in a fast cost-effective way indicating high risk areas where prevention measures should be implemented in order to reduce the disease incidence.     

Spatio-temporal patterns of Barmah Forest virus disease in Queensland, Australia

Background

Barmah Forest virus (BFV) disease is a common and wide-spread mosquito-borne disease in Australia. This study investigated the spatio-temporal patterns of BFV disease in Queensland, Australia using geographical information system (GIS) tools and geostatistical analysis.

Methods/Principal Findings

We calculated the incidence rates and standardised incidence rates of BFV disease. Moran''s I statistic was used to assess the spatial autocorrelation of BFV incidences. Spatial dynamics of BFV disease was examined using semi-variogram analysis. Interpolation techniques were applied to visualise and display the spatial distribution of BFV disease in statistical local areas (SLAs) throughout Queensland. Mapping of BFV disease by SLAs reveals the presence of substantial spatio-temporal variation over time. Statistically significant differences in BFV incidence rates were identified among age groups (χ² = 7587, df = 7327,p<0.01). There was a significant positive spatial autocorrelation of BFV incidence for all four periods, with the Moran''s I statistic ranging from 0.1506 to 0.2901 (p<0.01). Semi-variogram analysis and smoothed maps created from interpolation techniques indicate that the pattern of spatial autocorrelation was not homogeneous across the state.

Conclusions/Significance

This is the first study to examine spatial and temporal variation in the incidence rates of BFV disease across Queensland using GIS and geostatistics. The BFV transmission varied with age and gender, which may be due to exposure rates or behavioural risk factors. There are differences in the spatio-temporal patterns of BFV disease which may be related to local socio-ecological and environmental factors. These research findings may have implications in the BFV disease control and prevention programs in Queensland.     

Virtual Fire: A web-based GIS platform for forest fire control

Α web-based Geographic Information Systems (GIS) platform – named Virtual Fire – for forest fire control has been developed to easily, validly and promptly share and utilize information and tools among firefighting forces. This state-of-the-art system enables fire management professionals to take advantage of GIS capabilities without needing to locally install complex software components. Fire management professionals can locate fire service vehicles and other resources online and in real-time. Fire patrol aircrafts and vehicles may use tracking devices to send their coordinates directly to the platform. Cameras can augment these data by transmitting images of high-risk areas into the graphical interface of the system. Furthermore, the system provides the geographical representation of fire ignition probability and identifies high-risk areas at different local regions daily, based on a high performance computing (HPC) pilot application that runs on Windows HPC Server. Real-time data from remote automatic weather stations and weather maps based on a weather forecasting system provide vital weather data needed for fire prevention and early warning. By using these methods and a variety of fire management information and tools, the end-users are given the ability to design an operational plan to encompass the forest fire, choosing the best ways to put the fire out within the proper recourses and time.     

Strategies for Protecting and Restoring Rhode Island's Watersheds on Multiple Scales

The Clean Water Act has traditionally preserved the quality and quantity of a region's water by focusing resources on areas with known or anticipated problems. USEPA Region 1 is taking the supplemental, longer-range approach of protecting areas of New England where natural resources are still healthy. As part of Region 1 's “New England Resource Protection” approach, stakeholders participate in an open process that identifies healthy ecosystems and characterizes how well they support aquatic life and human health. Since the concerns of stakeholders are usually local, the process also displays areas of nonattainment within individual watersheds and determines their likely causes. One of the most powerful ways to display these types of information on multiple scales is to use a geographic information system (GIS). The case of phosphorus in southern Rhode Island's Tucker Pond illustrates how a GIS can help integrate concerns from the public, data from Clean Water Act monitoring, and information from the New England Resource Protection Project to identify types of environmental assessment questions on scales ranging from states to subwatersheds. By involving the public at all stages of the process and better informing them about their watersheds, this new approach makes them better stewards of their environment.