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  ▼a  0691206910

• 020

  ▼a  9780691206912
  ▼q  (electronic bk.)

• 024

  ▼a  10.1515/9780691206912
  ▼2  doi

• 035

  ▼a  2296583
  ▼b  (N$T)

• 035

  ▼a  (OCoLC)1143843537

• 040

  ▼a  DEGRU
  ▼b  eng
  ▼e  rda
  ▼c  DEGRU
  ▼d  OCLCO
  ▼d  OCLCF
  ▼d  N$T
  ▼d  248023

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  ▼a  nju
  ▼c  US-NJ

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  ▼a  QH541.15.M3
  ▼b  M38 2001eb

• 072

  ▼a  SCI008000
  ▼2  bisacsh

• 082

  ▼a  577/.01/5118
  ▼2  22

• 100

  ▼a  May, Robert M,
  ▼e  author.
  ▼4  aut
  ▼4  http://id.loc.gov/vocabulary/relators/aut

• 245

  ▼a  Stability and Complexity in Model Ecosystems /:
  ▼c  Robert M May.

• 260

  ▼a  Princeton, NJ:
  ▼b  Princeton University Press,
  ▼c  [2019].

• 300

  ▼a  1 online resource.

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

• 337

  ▼a  computer
  ▼b  c
  ▼2  rdamedia

• 338

  ▼a  online resource
  ▼b  cr
  ▼2  rdacarrier

• 347

  ▼a  text file
  ▼b  PDF
  ▼2  rda

• 490

  ▼a  Princeton Landmarks in Biology;
  ▼v  1

• 505

  ▼t  Frontmatter --
  ▼t  Contents --
  ▼t  Preface --
  ▼t  Preface to the Second Edition --
  ▼t  Introduction to the Princeton Landmarks in Biology Edition --
  ▼t  1. Introduction --
  ▼t  2. Mathematical Models and Stability --
  ▼t  3. Stability versus Complexity in Multispecies Models --
  ▼t  4. Models with Few Species: Limit Cycles and Time Delays --
  ▼t  5. Randomly Fluctuating Environments --
  ▼t  6. Niche Overlap and Limiting Similarity --
  ▼t  7. Speculations --
  ▼t  Appendices --
  ▼t  Afterthoughts for the Second Edition --
  ▼t  BIBLIOGRAPHY TO AFTERTHOUGHTS --
  ▼t  Bibliography --
  ▼t  Author Index --
  ▼t  Subject Index

• 520

  ▼a  What makes populations stabilize? What makes them fluctuate? Are populations in complex ecosystems more stable than populations in simple ecosystems? In 1973, Robert May addressed these questions in this classic book. May investigated the mathematical roots of population dynamics and argued-counter to most current biological thinking-that complex ecosystems in themselves do not lead to population stability. Stability and Complexity in Model Ecosystems played a key role in introducing nonlinear mathematical models and the study of deterministic chaos into ecology, a role chronicled in James Gleick's book Chaos. In the quarter century since its first publication, the book's message has grown in power. Nonlinear models are now at the center of ecological thinking, and current threats to biodiversity have made questions about the role of ecosystem complexity more crucial than ever. In a new introduction, the author addresses some of the changes that have swept biology and the biological world since the book's first publication.

• 546

  ▼a  In English.

• 588

  ▼a  Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Feb 2020).

• 590

  ▼a  Added to collection customer.56279.3

• 650

  ▼a  Animal populations
  ▼x  Mathematical models.

• 650

  ▼a  Ecology
  ▼x  Mathematical models.

• 650

  ▼a  Stability.

• 650

  ▼a  SCIENCE / Life Sciences / Biology.
  ▼2  bisacsh

• 650

  ▼a  Animal populations
  ▼x  Mathematical models.
  ▼2  fast
  ▼0  (OCoLC)fst00809331

• 650

  ▼a  Ecology
  ▼x  Mathematical models.
  ▼2  fast
  ▼0  (OCoLC)fst00901509

• 650

  ▼a  Stability.
  ▼2  fast
  ▼0  (OCoLC)fst01131203

• 655

  ▼a  Electronic books.

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2296583

• 938

  ▼a  De Gruyter
  ▼b  DEGR
  ▼n  9780691206912

• 938

  ▼a  EBSCOhost
  ▼b  EBSC
  ▼n  2296583

• 990

  ▼a  강리원

• 991

  ▼a  eBook

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  ▼a  92
  ▼b  N$T