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006m d
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008200229t20192001nju fod z000 0 eng d
020 ▼a 0691206910
020 ▼a 9780691206912 ▼q (electronic bk.)
0247 ▼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 248032
044 ▼a nju ▼c US-NJ
049 ▼a MAIN
050 4 ▼a QH541.15.M3 ▼b M38 2001eb
072 7 ▼a SCI008000 ▼2 bisacsh
08204 ▼a 577/.01/5118 ▼2 22
1001 ▼a May, Robert M, ▼e author. ▼4 aut ▼4 http://id.loc.gov/vocabulary/relators/aut
24510 ▼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
4900 ▼a Princeton Landmarks in Biology ; ▼v 1
50500 ▼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.
5880 ▼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 0 ▼a Animal populations ▼x Mathematical models.
650 0 ▼a Ecology ▼x Mathematical models.
650 0 ▼a Stability.
650 7 ▼a SCIENCE / Life Sciences / Biology. ▼2 bisacsh
650 7 ▼a Animal populations ▼x Mathematical models. ▼2 fast ▼0 (OCoLC)fst00809331
650 7 ▼a Ecology ▼x Mathematical models. ▼2 fast ▼0 (OCoLC)fst00901509
650 7 ▼a Stability. ▼2 fast ▼0 (OCoLC)fst01131203
655 4 ▼a Electronic books.
85640 ▼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 관리자
994 ▼a 92 ▼b N$T