WebGIS for Monitoring “Sudden Oak Death” in coastal California

Kelly, N. Maggi; Tuxen, Karin

doi:10.1016/s0198-9715(02)00065-0

Cited by 44 publications

(7 citation statements)

References 18 publications

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“…1) prior to the first date of sampling each year. The CDFA reference data include locations of infections discovered by land managers, arborists, and researchers since 2000 and are maintained by the California Oak Mortality Task Force (Kelly and Tuxen 2003). New detections discovered through our sampling were also continually added to this data set, which contributed to updating our distance measurements prior to each subsequent year of sampling.…”

Section: Force Of Infection Datamentioning

confidence: 99%

Early Detection of Emerging Forest Disease Using Dispersal Estimation and Ecological Niche Modeling

Meentemeyer

Anacker

Mark

et al. 2008

Ecological Applications

100

110

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Distinguishing the manner in which dispersal limitation and niche requirements control the spread of invasive pathogens is important for prediction and early detection of disease outbreaks. Here, we use niche modeling augmented by dispersal estimation to examine the degree to which local habitat conditions vs. force of infection predict invasion of Phytophthora ramorum, the causal agent of the emerging infectious tree disease sudden oak death. We sampled 890 field plots for the presence of P. ramorum over a three-year period (2003-2005) across a range of host and abiotic conditions with variable proximities to known infections in California, USA. We developed and validated generalized linear models of invasion probability to analyze the relative predictive power of 12 niche variables and a negative exponential dispersal kernel estimated by likelihood profiling. Models were developed incrementally each year (2003, 2003-2004, 2003-2005) to examine annual variability in model parameters and to create realistic scenarios for using models to predict future infections and to guide early-detection sampling. Overall, 78 new infections were observed up to 33.5 km from the nearest known site of infection, with slightly increasing rates of prevalence across time windows (2003, 6.5%; 2003-2004, 7.1%; 2003-2005, 9.6%). The pathogen was not detected in many field plots that contained susceptible host vegetation. The generalized linear modeling indicated that the probability of invasion is limited by both dispersal and niche constraints. Probability of invasion was positively related to precipitation and temperature in the wet season and the presence of the inoculum-producing foliar host Umbellularia californica and decreased exponentially with distance to inoculum sources. Models that incorporated niche and dispersal parameters best predicted the locations of new infections, with accuracies ranging from 0.86 to 0.90, suggesting that the modeling approach can be used to forecast locations of disease spread. Application of the combined niche plus dispersal models in a geographic information system predicted the presence of P. ramorum across approximately 8228 km2 of California's 84785 km2 (9.7%) of land area with susceptible host species. This research illustrates how probabilistic modeling can be used to analyze the relative roles of niche and dispersal limitation in controlling the distribution of invasive pathogens.

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Section: Force Of Infection Datamentioning

confidence: 99%

Early Detection of Emerging Forest Disease Using Dispersal Estimation and Ecological Niche Modeling

Meentemeyer

Anacker

Mark

et al. 2008

Ecological Applications

100

110

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“…Point occurrence data for P. ramorum were obtained from the California Oak Mortality Task Force archive (Kelly and Tuxen 2003). Climate data used in the analyses originated from WorldClim (Hijmans and others [In press]).…”

Section: Data Overviewmentioning

confidence: 99%

Proceedings of the sudden oak death second science symposium: the state of our knowledge

Frankel¹,

Shea²,

Haverty³

2006

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The Forest Service of the U.S. Department of Agriculture is dedicated to the principle of multiple use management of the Nation's forest resources for sustained yields of wood, water, forage, wildlife, and recreation. Through forestry research, cooperation with the States and private forest owners, and management of the National Forests and National Grasslands, it strives-as directed by Congress-to provide increasingly greater service to a growing Nation.The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, age, disability, and where applicable, sex, marital status, familial status, parental status, religion, sexual orientation, genetic information, political beliefs, reprisal, or because all or part of an individual's income is derived from any public assistance program. (Not all prohibited bases apply to all programs.) Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.

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“…Papers from the Computer Science and Geography domains mainly focus on the development of Web-based GIS technology and architecture. Other studies address the functionality and apply Web-based GIS applications in a specific research field such as trip planning (Peng andTsou, 2003), transportation (Ziliaskopoulos andWaller, 2000), health science (Kistemann, et al, 2002;Theseira, 2002), environmental monitoring (Kelly and Tuxen, 2003), river monitor (Halls, 2003), fish species at risk (Liu, 2005), slope-land study (Yu, et al 2007) Peng and Tsou (2003) stated that "Internet GIS is a research and application area that utilizes the Internet and other internetworking systems to facilitate the access, processing, and dissemination of geographic information and spatial analysis". The Internet is an infrastructure that hosts many applications such as the World Wide Web, which potentially ease the publication of information and simplify the access by users of that information (Abel et al, 1998).…”

Section: Web-based Gis Technology and Applicationsmentioning

confidence: 99%

A Web-Based GIS Planning Framework For Urban Oil Spill Management

Han¹

2021

Preprint

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The thesis is comprised of five chapters. Chapter 1 presents an introduction and identifies the spill issues and strategy gaps at the municipal level. The objectives and scope of this study are indicated in this chapter. Chapter 2 is the literature review of oil spill research and the role of GIS and its distributed form, Web-based GIS. In this chapter, focus is directed at the review of land-based oil spills and their characteristics, spill prevention measures, control technology, and response and cleanup. It also elaborates on spill related law and enforcement within the Canadian legal system. The applications of GIS and Web-based GIS in spill-related fields are reviewed in this chapter. Chapter 3 focuses on the information needs for the establishment of an oil spill planning framework. How GIS and Web-based GIS could facilitate planning processes. Chapter 4 discusses Web-based GIS architecture as refined for municipal spill management. Chapter 5 presents the case study which examines the planning framework based on a Web-based GIS architecture, and Chapter 6 highlights the conclusions of the study, suggestions and recommendations for urban oil spill management based on the research findings--From the Introduction.

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WebGIS for Monitoring “Sudden Oak Death” in coastal California

Cited by 44 publications

References 18 publications

Early Detection of Emerging Forest Disease Using Dispersal Estimation and Ecological Niche Modeling

Early Detection of Emerging Forest Disease Using Dispersal Estimation and Ecological Niche Modeling

Proceedings of the sudden oak death second science symposium: the state of our knowledge

A Web-Based GIS Planning Framework For Urban Oil Spill Management

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