000			04191nam a22004815i 4500
001			978-0-387-89882-7
003			DE-He213
005			20251006084431.0
007			cr nn 008mamaa
008			101216s2009 xxu| s |||| 0|eng d
020			_a9780387898827
020			_a99780387898827
024	7		_a10.1007/978-0-387-89882-7 _2doi
082	0	4	_a577 _223
100	1		_aStevens, M. Henry H. _eeditor.
245	1	2	_aA Primer of Ecology with R _h[electronic resource] / _cedited by M. Henry H. Stevens.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_aXVI, 388p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aUse R!
505	0		_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		0	_aLIFE SCIENCES.
650		0	_aCOMPUTER SIMULATION.
650		0	_aECOLOGY.
650		0	_aSTATISTICS.
650	1	4	_aLIFE SCIENCES.
650	2	4	_aECOLOGY.
650	2	4	_aSTATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES.
650	2	4	_aENVIRONMENTAL MONITORING/ANALYSIS.
650	2	4	_aSIMULATION AND MODELING.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387898810
830		0	_aUse R!
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-89882-7 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c59486 _d59486