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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - References pdf

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - References pdf

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - References pdf

... quantitative genetics. Evolutionary Ecology, 6, 152–169.Mangel, M. (1998). No-take areas for sustainability of harvested species and aconservation invariant for marine reserves. Ecology Letters, ... J., Restrepo, V. R. and Kirkwood, G. P. (1999).Formulating quantitative methods to evaluate fishery-management systems:what fishery processes should be modelled and what trade-offs should be made?ICES ... R. and Kaunda-Arar a, B. (1996). Fishery recov ery in a coral-reef marinepark and its effect on the adjacent fishery. Conservation Biology, 10, 1187–1199.McDonald, A. D., Sandal, L. K. and...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 1 potx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 1 potx

... undergraduates,graduate students, post-docs, and even those beyond) who wants todevelop the intuition and skills required for reading the literature intheoretical and mathematical biology and for doing work in ... Clark and I talk about this a bit in our book (Clark and Mangel 2000). Two possible forms for the gain function are G(t) ¼at/(b þt) and G(t) ¼at2/(b þt2). Take some time before reading on and ... University of Oxford). (c) Foraging seabirds on New Brighton Beach,California, face diet choice and patch leaving problems.Foraging in patchy environments 3Black and DeckerBlack and Decker is...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 2 pptx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 2 pptx

... ¼lx0elt and d2x/dt2¼l2x0elt. When we substitute these forms for x(t) and its twoderivatives back into Eq. (2.38), note that both x0 and eltwill cancel52 Topics from ordinary and partial ... xK2(2:34) and equations that could describe a mutualistic interaction (for examplebetween ants and butterflies, see Pierce and Nash (1999) or Pierce et al.(2002); for yuccas and moths see ... Eq. (2.22) and writer ¼ limt!11tE logNðtÞNð0Þ(2:23)This formula is useful when dealing with data and when using simula-tion models (for a nice example, see Easterling and Ellner...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 3 doc

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 3 doc

... l ¼Np (for which we set t ¼1 implicitly).Random search with depletionIn many situations in ecology and evolutionary biology, we deal withrandom search for items that are then removed and not ... a chi-square random variable. If we letn2denote a chi-square random v ariable with n degrees of freedom and X denote a N(0, 1) random variable, then the ratio T ¼ X =n2isThe t-distribution ... the data and the parameters, and can now evaluate thesum of squares and minimize it over the choice of parameters. For moredetails about this, see Connections.The t-distribution and the second...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 4 pot

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 4 pot

... sketch a graph with l on the x-axis and y ¼l or y ¼ÀreÀlon the y-axis and look for their intersections and notethat if  ¼0 then l ¼Àr).148 The evolutionary ecology of parasitoidshosts at ... parasitoid reproductive success include mor-tality risk while searching and foraging, egg complement, and timeavailable for searching for oviposition sites and ovipositing. Naturalselection could ... abound and the methods have a wide range of applica-tions in economic settings. One of my favorite volumes is Dixit and Pindyck (1994). Owen-Smith (2002) gives some interesting applica-tions...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 5 ppt

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 5 ppt

... interest and oppor-tunity for modeling (Lipp et al. 2002, Hastings 1997, 2001, Hastings and McKinnon 1998, Hastings and D’Allesandro 2000, Hastings et al.2002) and opportunities exist for new ... bridges ecology, immunology, and epidemiology (Antia and Lipschitz 1997, Hellriegel 2001, Ahmed et al.2002, Gardner and Thomas 2002, Rolff and Siva-Jothy 2002, 2003,Wegner et al. 2003). Shudo and ... meaning any deviation from a comple-tely random distribution – is sufficient to stabilize the dynamics.The papers of Anderson and May (1978) and May and Anderson(1978) are well worth examining,...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 6 pot

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 6 pot

... log-likelihood the largest. Denote this value by KÃ and the associatedtotal log-likelihood by LÃT; it is the best point estimate. Make a plot of LT(x-axis)vs K (y-axis) and show KÃ and ... oscillations of effort and stock abundance.Now, you might expect that there are differences in the rate at whicheffort is added and at which effort is reduced. I agree with you and thefollowing ... parameters are con-founded and there is prior information (in fisheries, for example onsimilar stocks elsewhere). There is an excellent and growing literatureConnections 241on Bayesian methods in...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 7 pptx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 7 pptx

... "; tÞ(7:82)(c) Now Taylor expand Eqs. (7.81) and (7.82) to first order in Dt and to secondorder in " and compare those results with the backward and forward equationsthat we have derived. ... population genetics and conservation biology (see Connections).An alternative to Brownian motion: the Poisson increment 281upon your understanding of the biology and on how the random factorsenter ... (7:60) and the procedure from here should be obvious: Taylor expand inpowers of dX and dt and then take the average over dX.General diffusion processes and the backward equation 271 and we...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 8 docx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 8 docx

... vitality and the biodemography of survival 313breadth of a foraging organism. In classical island biogeography, onemeasures per capita birth and death rates and carrying capacity of anisland and ... (Halley and Iwasa 1998, Diserud and Engen 2000,Hakoyama and Iwasa 2000, Lande et al. 2003) takes the formdX ¼ bðX Þdt þffiffiffiffiffiaepX dWeþffiffiffiffiffiffiffiffiffiadXpdWd,whereae and adare the envir-onmental ... looking up solutions ofthe standard diffusion equation are Carslaw and Jaeger (1959), Goel and Richter-Dyn (1974), and Crank (1975) (this particular solution is com-puted by the ‘‘method of images’’...
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applied quantitative methods for trading and investment- dunis 2003

applied quantitative methods for trading and investment- dunis 2003

... researcher and the availability of data. For example, intraday time series can be extremely noisy and “a typical off-floor trader 26 Applied Quantitative Methods for Trading and Investment for good ... observations), reserved for out-of-sample forecasting and evaluation, identical to theout-of-sample period for the benchmark models.To start, traditional linear cross-correlation analysis helped ... better standard for determining the qualityof the forecasts. After all, the financial gain from a given strategy depends on tradingperformance, not on forecast accuracy.1.6.3 Out-of-sample forecasting...
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