Directory of Ecological Land Classification Plot Data in Northwestern Region
Directory of Ecological Land Classification Plot Data in Northwestern Region

Author: Allan G. Harris

Publisher: Thunder Bay : Ontario Ministry of Natural Resources, Northwest Region Science and Technology

Published: 1995

Total Pages: 146

ISBN-13:

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The goal of the Ontario Ecological Land Classification Program is to establish a comprehensive and consistent province-wide approach for ecosystem description, inventory, and interpretation. The Ontario Ecological Data Repository was established to ensure that the Program's classification data is secure, consistent, and accessible. Data described in this report are contained within the Repository and were used to construct the Northwest Ontario Forest Ecosystem Classification. The data are also being used to construct a wetland ecosystem classification for northwestern Ontario. The report includes both forest and wetland ecosystem plot data including site name and latitude/longitude, soil type, vegetation type, data set, and whether certain types of data are available.

Global to Local: Ecological Land Classification
Global to Local: Ecological Land Classification

Author: Richard A. Sims

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 619

ISBN-13: 9400916531

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Ecological Land Classification (ELC) refers to the description of land resources at a range of spatial resolutions (i.e. global to local) and for a range of purposes or values. The emerging science of ELC is in fact a very carefully integrated blend of vegetation and earth sciences, climatology, cartography and ecology with a range of new technologies and methodologies including computer-based geographic information systems, remote sensing and simulation modelling. This publication defines the current `state-of-the-art' of ELC. It provides particular insight into the role of ELC in current and future forest resource planning and management, and emphasizes its application and usefulness at various spatial scales, for a variety of geographic locations, and under a range of management scenarios/constraints. The book is an invaluable and substantial reference source about the current trends in ELC and will be of particular value to ecologists, foresters, geographers, resource managers, wildlife biologists, GIS and remote sensing specialists, educators and students.

The National Tree-list Layer
The National Tree-list Layer

Author: Stacy Allen Drury

Publisher:

Published: 2011

Total Pages: 32

ISBN-13:

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The National Tree-List Layer (NTLL) project used LANDFIRE map products to produce the first national tree-list map layer that represents tree populations at stand and regional levels. The NTLL was produced in a short time frame to address the needs of Fire and Aviation Management for a map layer that could be used as input for simulating fire-caused tree mortality across landscapes. Simulated tree mortality estimates using the NTLL as model input provided acceptable results when compared with tree mortality simulations using field-sampled tree attribute data. Our results indicate that fire managers can expect simulated tree-mortalities using the NTLL to predict fire-caused tree mortality as well as field-measured plot data, especially during extreme wildfire events. Decision makers can use tree mortality maps that are produced using the NTLL to develop and support decisions such as where to place fuels treatments or where to most effectively position fire suppression resources.

Spatial Data Analysis in Ecology and Agriculture Using R
Spatial Data Analysis in Ecology and Agriculture Using R

Author: Richard E. Plant

Publisher: CRC Press

Published: 2018-12-07

Total Pages: 666

ISBN-13: 1351189905

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Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.

A Guidebook for Integrated Ecological Assessments
A Guidebook for Integrated Ecological Assessments

Author: Mark E. Jensen

Publisher: Springer Science & Business Media

Published: 2012-09-07

Total Pages: 540

ISBN-13: 1441986200

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A rich set of protocols for the process of assessing the ecological make-up of the land so as to guide environmental decision-making.