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Habitat Suitability and Distribution Models
  • Language: en
  • Pages: 513

Habitat Suitability and Distribution Models

This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.

Wattles
  • Language: en
  • Pages: 586

Wattles

  • Type: Book
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  • Published: 2023-11-13
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  • Publisher: CABI

The book provides a comprehensive overview of current knowledge about "wattles", a large clade of over 1000 species of trees and shrubs in the genus Acacia, most of which are native to Australia. It examines the biology, ecology, evolution, and biogeography of wattles in their native ranges, including the evolutionary forces that have driven past speciation and adaptation to diverse environments, the conservation status, uses and human perceptions of these species. It considers the different histories of the introductions and proliferation of wattles as alien species in different parts of the world since c. 1850 (the Anthropocene), situated within relevant political, socio-economic and scien...

Boosting
  • Language: en
  • Pages: 544

Boosting

  • Type: Book
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  • Published: 2014-01-10
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  • Publisher: MIT Press

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterio...

Mapping Species Distributions
  • Language: en
  • Pages: 538

Mapping Species Distributions

Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.

Institutions and Incentives in Regulatory Science
  • Language: en
  • Pages: 235

Institutions and Incentives in Regulatory Science

  • Categories: Law

Institutions and Incentives in Regulatory Science explores fundamental problems with regulatory science in the environmental and natural resource law field. Each chapter covers a variety of natural resource and regulatory areas, ranging from climate change to endangered species protection and traditional health-based environmental regulation. Regulatory laws and institutions themselves strongly influence the direction of scientific research by creating a system of rewards and penalties for science. As a consequence, regulatory laws or institutions that are designed naively end up incentivizing scientists to generate and then publish only those results that further the substantive regulatory ...

Systematics 2008 Göttingen, Programme and Abstracts
  • Language: en
  • Pages: 430

Systematics 2008 Göttingen, Programme and Abstracts

The Göttingen conference Systematics 2008 is the first joint meeting of the Gesellschaft für Biologische Systematik (GfBp. and the German Botanical Society, section Biodiversity and Evolutionary Biology (DBG), being the 10th Annual Meeting of the GfBS and the 18th International Symposium Biodiversity and Evolutionary Biology of the DBG. The conference programme covers biological systematics in the widest sense and provides ample opportunities for oral and poster presentations on new advances in plant, animal and microbial systematics. This volume brings together the abstracts of invited speaches from the plenary sessions on Progress in Deep Phylogeny, Speciation and Phylogeography, and New Trends in Biological Systematics as well as those of submitted talks and poster sessions.

Academic Writing as if Readers Matter
  • Language: en
  • Pages: 224

Academic Writing as if Readers Matter

A guide to writing with the reader in mind If you want people to read your writing, it has to be readable. In Academic Writing as if Readers Matter, Leonard Cassuto offers academic writers a direct, practical prescription for writing that will be read and understood: Take care of your reader. With a wealth of examples from the arts and sciences, this short, witty book provides invaluable advice to writers at all levels, in all fields, on how to write better for both specialized and broad audiences. Good academic writing depends on connecting with readers, earning their time and attention. Cassuto offers tips and advice on how to sharpen arguments and make complex ideas compelling. He address...

Data Mining for Global Trends in Mountain Biodiversity
  • Language: en
  • Pages: 224

Data Mining for Global Trends in Mountain Biodiversity

  • Type: Book
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  • Published: 2009-09-28
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  • Publisher: CRC Press

Thanks to advances in electronic archiving of biodiversity data and the digitization of climate and other geophysical data, a new era in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva M. Spehn, and a team of experts from the Global Mountain Biodi

Joint Species Distribution Modelling
  • Language: en
  • Pages: 389

Joint Species Distribution Modelling

A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.

Bioinformatic and Statistical Analysis of Microbiome Data
  • Language: en
  • Pages: 717

Bioinformatic and Statistical Analysis of Microbiome Data

This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.