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1

Moutier, Maxime-Olivier. Les trois modes de conservation des viandes: Roman. Montréal: Marchand de feuilles, 2006.

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2

), Northwest Power Planning Council (U S. Model conservation standards equivalent code. Portland, Or: Northwest Power Planning Council, 1986.

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3

), Northwest Power Planning Council (U S. Model conservation standards equivalent code. Portland, Or: Northwest Power Planning Council, 1985.

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4

Tiritiri Matangi: A model of conservation. Auckland, N.Z: Tandem Press, 2004.

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5

Burke, David G., and Joel E. Dunn. A sustainable Chesapeake: Better models for conservation. Arlington, Va: Conservation Fund, 2010.

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6

Northwest Power Planning Council (U.S.). Model conservation standards for new commercial buildings. 8th ed. Portland, Or, (851 6th Ave., Suite 1100, Portland 97204-1348): The Council, 1989.

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7

L, Bleloch A., ed. Building models for conservation and wildlife management. New York: Macmillan, 1986.

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8

P, Carroll John, ed. Quantitative conservation of vertebrates. Oxford, UK: Blackwell, 2009.

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9

Toro, E. F. Multidimensional WAF-type schemes for model conservation laws. Cranfield, Bedfordshire, England: Cranfield University, College of Aeronautics, 1993.

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10

R, Thompson Frank, ed. Models for planning wildlife conservation in large landscapes. Burlington, MA: Academic Press, 2009.

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11

S, Ferson, and Akc̜akaya H. R, eds. Risk assessment in conservation biology. London: Chapman & Hall, 1993.

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12

Steinar, Engen, and Sæther Bernt-Erik, eds. Stochastic populated dynamics in ecology and conservation. Oxford: Oxford University Press, 2003.

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13

Gosling, W. Radio spectrum conservation. Oxford: Newnes, 2000.

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14

Shi, Jian. Arbitrary-order high resolution schemes for model hyperbolic conservation laws. Cranfield, Bedford, England: Cranfield Institute of Technology, College of Aeronautics, 1992.

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15

Parag, Garhyan, ed. Conservation equations and modeling of chemical and biochemical processes. New York: Marcel Dekker, 2003.

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16

Party, Conservative. The next moves forward: The Conservative manifesto 1987. London: Conservative Central Office, 1987.

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17

Party, Conservative. The conservative manifesto 1987: The next moves forward. London: Conservative Central Office, 1987.

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18

Shi, Jian. Fully discrete arbitrary-order schemes for a model hyperbolic conservation law. Cranfield, Bedford, England: Cranfield Institute of Technology, College of Aeronautics, 1993.

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19

Clark, Colin Whitcomb. Mathematical bioeconomics: The mathematics of conservation. 3rd ed. Hoboken, N.J: Wiley, 2010.

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20

Models of nature: Ecology, conservation, and cultural revolution in Soviet Russia. Bloomington: Indiana University Press, 1988.

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21

Weiner, Douglas R. Models of nature: Ecology, conservation, and cultural revolution in Soviet Russia. Pittsburgh, Pa: University of Pittsburgh Press, 2000.

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22

Waterfowl hunting and wetland conservation in Missouri: A model of collaboration. Virginia Beach, VA: Donning Company Publishers, 2014.

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23

Council of American Building Officials. Model energy code. Falls Church, Va: The Council, 1993.

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24

Biased technical change and economic conservation laws. New York: Springer, 2005.

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25

SatÕo, RyÕuzÕo. Biased technical change and economic conservation laws. New York: Springer, 2006.

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26

Pripps, Robert N. John Deere model B restoration guide. Osceola, WI, USA: Motorbooks International, 1995.

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27

Modes of discipline: Women, conservatism, and the novel after the French Revolution. Lewisburg: Bucknell University Press, 2003.

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28

Brown, Marilyn A. Implementation and enforcement of Bonneville's model conservation standards within early adopting jurisdictions. Oak Ridge, Tenn: Oak Ridge National Laboratory, 1990.

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29

An econometric model integrating conservation measures in the residential demand for electricity. Greenwich, Conn: JAI Press, 1986.

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30

Tweed Courthouse: A model restoration. New York: Norton, 2006.

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31

Mathematical bioeconomics: The mathematics of conservation. 3rd ed. Hoboken, N.J: Wiley, 2010.

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32

Office, Conservative Central. Model rules for constituency, branch and European constituency councils. London: Conservative Central Office, 1990.

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33

Hague, E. Model agricultural estate villages: The conservation of model agricultural estate villages created in the 18th and 19th centuries. Oxford: Oxford Brookes University, 1995.

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34

Network, Canadian Model Forest. Canadian Model Forest Network achievements. [Ottawa]: Natural Resources Canada, 2006.

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35

Hulett, Patrick L. Genetic conservation of wild steelhead in Washington streams: A genetically-based conservation and management model to integrate hatchery and wild production. Olympia, WA: Washington Dept. of Wildlife, Fish Management Division, 1993.

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36

Hulett, Patrick L. Genetic conservation of wild steelhead in Washington streams: A genetically-based conservation and management model to integrate hatchery and wild production. Olympia, WA: Washington Dept. of Wildlife, Fish Management Division, 1993.

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37

Model conservation standards bibliography. [Olympia?: The Office?], 1986.

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38

Zeitlin, Vladimir. Rotating Shallow-Water Models with Full Coriolis Force. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804338.003.0016.

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The derivation of the rotating shallow-water model by vertical averaging is carried on in the tangent plane approximation without neglecting the vertical component of the Coriolis force, and contributions of the vertical component of velocity in its horizontal component (‘non-traditional’ terms), leading to one- and two-layer ‘non-traditional’ rotating shallow-water models. A similar approach on the whole sphere encounters difficulties with conservation of angular momentum. Consistent ‘non-traditional’ rotating shallow-water equations in this case are obtained from the variational principle, which is first formulated for full primitive equations. It is shown that columnar motion hypothesis should be replaced by solid-angle motion one on the sphere. Two-layer non-traditional rotating shallow-water equations are used to analyse inertial instability of jets and compare the results with Chapter 10. It is shown that non-traditional terms can increase the growth rates up to 30% in some configurations and can also change the structure of the unstable modes.
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39

Young, Craig M., Shawn M. Arellano, Jean-François Hamel, and Annie Mercier, eds. Ecology and Evolution of Larval Dispersal in the Deep Sea. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0016.

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The importance of larval dispersal in the deep ocean is generally acknowledged in studies of genetic connectivity, conservation, and population ecology, but our understanding of the underlying reproductive, developmental, and oceanographic processes remains rudimentary. Recent efforts at modeling deep-sea dispersal have generally taken the form of sensitivity analyses, because biological parameters for the models are lacking. In this review, what is known about the evolution of biological parameters that may influence dispersal times, depth distributions, and trajectories, including modes of development, vertical ontogenetic migration, are examined, as well as the ecological release from predators enabling slower developmental rates and longer dispersal times. Phylogenetic constraints are important in many groups, yet there are modifications in larval form, developmental mode, egg flotation, parental investment, and reproductive timing that appear to be unique to the deep sea and that influence dispersal. For instance, larval duration in certain taxa is longer in the deep-water species than in many shallow-water relatives.
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40

Tacoma, City of, ed. Model conservation standards construction cost evaluation. Bonneville Power Administration., 1987.

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41

Zeitlin, Vladimir. Simplifying Primitive Equations: Rotating Shallow-Water Models and their Properties. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804338.003.0003.

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In this chapter, one- and two-layer versions of the rotating shallow-water model on the tangent plane to the rotating, and on the whole rotating sphere, are derived from primitive equations by vertical averaging and columnar motion (mean-field) hypothesis. Main properties of the models including conservation laws and wave-vortex dichotomy are established. Potential vorticity conservation is derived, and the properties of inertia–gravity waves are exhibited. The model is then reformulated in Lagrangian coordinates, variational principles for its one- and two-layer version are established, and conservation laws are reinterpreted in these terms.
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42

United States. Bonneville Power Administration., ed. Model conservation standards equivalent code technical appendix. Portland, Ore: Bonneville Power Administration, 1986.

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43

Model Conservation Standards for new commercial buildings. Northwest Power Planning Council, 1989.

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44

The North American Model of Wildlife Conservation. Johns Hopkins University Press, 2019. http://dx.doi.org/10.1353/book.67481.

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45

Building Models for Conservation and Wildlife Management. 2nd ed. Interaction Book Co, 1991.

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46

Environmental Defender's Office (N.S.W.) and South Pacific Regional Environment Programme., eds. Legal and institutional models for conservation areas. Sydney, NSW: The Office, 1994.

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47

Kareiva, Peter, and Michelle Marvier. Uncomfortable questions and inconvenient data in conservation science. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808978.003.0001.

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This chapter outlines the problems of exaggeration, misuse of statistics, and publication bias that plague all scientific disciplines, but that may be especially acute in the mission-oriented field of conservation. Because conservation describes itself as a crisis discipline, its scientific publications tend to reinforce that view, even when the data are lacking. And when data run counter to accepted wisdom, out of fear such results might be misinterpreted or misused to counter conservation’s mission, the review process sometimes favors dogma over data. Black-box models, data gaps filled with expert opinion, and a general lack of easy access to key data make the testing of alternative hypotheses or interpretations extremely difficult. Self-correction and iteration are key to scientific progress. In conservation especially, with the fate of biodiversity in the balance, it is essential that conservationists get the science right, even if it means admitting mistakes.
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48

United States. Bonneville Power Administration. Office of Conservation., ed. Model conservation standards equivalent code amendments to the model energy code. [Portland, Or.]: Bonneville Power Administration, Office of Conservation, 1986.

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49

Hydraulics Laboratory (U.S.), ed. Soil Conservation Service low drop structure model study: Hydraulic model investigation. Vicksburg, Miss: US Army Corps of Engineers, Hydraulics Laboratory, 1991.

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50

Botsford, Louis W., J. Wilson White, and Alan Hastings. Population Dynamics for Conservation. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198758365.001.0001.

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This book is a quantitative exposition of our current understanding of the dynamics of plant and animal populations, with the goal that readers will be able to understand, and participate in the management of populations in the wild. The book uses mathematical models to establish the basic principles of population behaviour. It begins with a philosophical approach to mathematical models of populations. It then progresses from a description of models with a single variable, abundance, to models that describe changes in the abundance of individuals at each age, then similar models that describe populations in terms of the abundance over size, life stage, and space. The book assumes a knowledge of basic calculus, but explains more advanced mathematical concepts such as partial derivatives, matrices, and random signals, as it makes use of them. The book explains the basis of the principles underlying important population processes, such as the mechanism that allow populations to persist, rather than go extinct, the way in which populations respond to variable environments, and the origin of population cycles.The next two chapters focus on application of the principles of population dynamics to manage for the prevention of extinction, as well as the management of fisheries for sustainable, high yields. The final chapter recapitulates how different population behaviors arise in situations with different levels of density dependence and replacement (the potential lifetime reproduction per individual), and how variability arises at different time scales set by a species’ life history.
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