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001 978-0-387-89882-7
003 DE-He213
005 20210118114613.0
007 cr nn 008mamaa
008 101216s2009 xxu| s |||| 0|eng d
020 _a9780387898827
_9978-0-387-89882-7
024 _a10.1007/978-0-387-89882-7
_2doi
050 _aQH540-549.5
072 _aPSAF
_2bicssc
072 _aSCI020000
_2bisacsh
072 _aPSAF
_2thema
082 _a577
_223
100 _aStevens, M. Henry.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 _aA Primer of Ecology with R
_h[electronic resource] /
_cby M. Henry Stevens.
250 _a1st ed. 2009.
264 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2009.
300 _aXVI, 388 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 _aUse R!,
_x2197-5736
505 _aSingle Species Populations -- Simple Density-independent Growth -- Density-independent Demography -- Density-dependent Growth -- Populations in Space -- Two-species Interactions -- Lotka–Volterra Interspecific Competition -- Enemy–Victim Interactions -- Special Topics -- An Introduction to Food Webs, and Lessons from Lotka–Volterra Models -- Multiple Basins of Attraction -- Competition, Colonization, and Temporal Niche Partitioning -- Community Composition and Diversity.
520 _aEcology is more quantitative and theory-driven than ever before, and A Primer of Ecology with R combines an introduction to the major theoretical concepts in general ecology with a cutting edge open source tool, the R programming language. Starting with geometric growth and proceeding through stability of multispecies interactions and species-abundance distributions, this book demystifies and explains fundamental ideas in population and community ecology. Graduate students in ecology, along with upper division undergraduates and faculty, will find this to be a useful overview of important topics. In addition to the most basic topics, this book includes construction and analysis of demographic matrix models, metapopulation and source-sink models, host-parasitoid and disease models, multiple basins of attraction, the storage effect, neutral theory, and diversity partitioning. Several sections include examples of confronting models with data. Chapter summaries and problem sets at the end of each chapter provide opportunities to evaluate and enrich one's understanding of the ecological ideas that each chapter introduces. R is rapidly becoming the lingua franca of quantitative sciences, and this text provides a tractable introduction to using the R programming environment in ecology. An appendix provides a general introduction, and examples of code throughout each chapter give readers the option to hone their growing R skills. M. Henry H. Stevens is an associate professor in the Department of Botany and the Ecology graduate program at Miami University in Oxford, Ohio, USA. He is the author or coauthor of the R packages "primer" and "vegan". "The distinctive strength of this book is that truths are mostly not revealed but discovered, in the way that R-savvy ecologists—empirical and theoretical—work and think now. For readers still chained to spreadsheets, working through this book could be a revolution in their approach to doing science." (Stephen P. Ellner, Cornell University) "One of the greatest strengths…is the integration of ecological theory with examples ... pulled straight from the literature." (James R. Vonesh, Virginia Commonwealth University).
650 _aEcology .
650 _aStatistics .
650 _aEnvironmental monitoring.
650 _aComputer simulation.
650 _aEcology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L19007
650 _aStatistics for Life Sciences, Medicine, Health Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17030
650 _aMonitoring/Environmental Analysis.
_0https://scigraph.springernature.com/ontologies/product-market-codes/U1400X
650 _aSimulation and Modeling.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I19000
710 _aSpringerLink (Online service)
773 _tSpringer Nature eBook
776 _iPrinted edition:
_z9780387898803
776 _iPrinted edition:
_z9780387898810
830 _aUse R!,
_x2197-5736
856 _uhttps://doi.org/10.1007/978-0-387-89882-7
912 _aZDB-2-SBL
912 _aZDB-2-SXB
999 _c9353
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