Ecología poblacional cuantitativa

De Mendoza CONICET

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'''NOTA:''' El curso será dictado en inglés, pero el docente podrá responder preguntas en castellano.
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=Course title: Quantitative Population Ecology=
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===Course title: Quantitative Population Ecology===
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===Docente===
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====Instructor:====
 
Dr. William Morris, Visiting Fulbright Scholar, Dept. of Biology, Duke University, Durham, North Carolina, USA
Dr. William Morris, Visiting Fulbright Scholar, Dept. of Biology, Duke University, Durham, North Carolina, USA
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'''Course type:'''
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===Modalidad===
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Lectures, computer labs, student research projects
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Clases teóricas, laboratorios de computación, proyecto final de investigación
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===Nivel===
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Estudiantes de posgrado y estudiantes de grado avanzados
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===Descripción del curso===
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'''Level:'''
 
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Graduate students and advanced undergraduates
 
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'''Course description:'''
 
Quantitative (i.e., mathematical) models are often used to assess extinction risk and guide management of populations of harvested or endangered species. This course will cover the construction and analysis of quantitative population models, with emphasis on methods that are practical given the types and amount of data typically available. Lectures will cover fundamental concepts and laboratories will teach students how to apply the methods using computer programs written in MATLAB or R.  Readings will be drawn from Quantitative Conservation Biology: Theory and Practice of Population Viability Analysis  by W.F. Morris and D.F. Doak (Sinauer Associates, 2002), supplemented with papers drawn from the primary literature. Each student will be required to construct and use a population model based on their own data or data obtained from field conservation biologists or the literature, and to report their results to the class.   
Quantitative (i.e., mathematical) models are often used to assess extinction risk and guide management of populations of harvested or endangered species. This course will cover the construction and analysis of quantitative population models, with emphasis on methods that are practical given the types and amount of data typically available. Lectures will cover fundamental concepts and laboratories will teach students how to apply the methods using computer programs written in MATLAB or R.  Readings will be drawn from Quantitative Conservation Biology: Theory and Practice of Population Viability Analysis  by W.F. Morris and D.F. Doak (Sinauer Associates, 2002), supplemented with papers drawn from the primary literature. Each student will be required to construct and use a population model based on their own data or data obtained from field conservation biologists or the literature, and to report their results to the class.   

Revisión de 11:47 29 oct 2007

NOTA: El curso será dictado en inglés, pero el docente podrá responder preguntas en castellano.

Contenido


Course title: Quantitative Population Ecology

Docente

Dr. William Morris, Visiting Fulbright Scholar, Dept. of Biology, Duke University, Durham, North Carolina, USA

Modalidad

Clases teóricas, laboratorios de computación, proyecto final de investigación

Nivel

Estudiantes de posgrado y estudiantes de grado avanzados

Descripción del curso

Quantitative (i.e., mathematical) models are often used to assess extinction risk and guide management of populations of harvested or endangered species. This course will cover the construction and analysis of quantitative population models, with emphasis on methods that are practical given the types and amount of data typically available. Lectures will cover fundamental concepts and laboratories will teach students how to apply the methods using computer programs written in MATLAB or R. Readings will be drawn from Quantitative Conservation Biology: Theory and Practice of Population Viability Analysis by W.F. Morris and D.F. Doak (Sinauer Associates, 2002), supplemented with papers drawn from the primary literature. Each student will be required to construct and use a population model based on their own data or data obtained from field conservation biologists or the literature, and to report their results to the class.

Duration, total hours and estimated starting date: Class time: ten days Estimated start date: April 14, 2008

Student responsibilities: Attend lectures and computer labs / Do problem sets / Do a research project, write a paper describing the results, and give an oral presentation to the class.

Determination of grades: Attendance: 25% Problem sets: 25% Research project: 50% (25% each for written and oral presentations)

Tentative syllabus:

Day: Topic: Readings in Morris & Doak book:

1 Density-independent models based on the total number Ch. 1-3 of individuals in a population under a randomly varying environment

2 Incorporating density dependence in a Ch. 4 (first part) randomly varying environment

3 Incorporating demographic stochasticity and other Ch. 4 (second part) complications into count-based models

4 Constructing a projection matrix for an age- or size- Ch. 6 structured population

5 Population growth in deterministic and stochastic Ch. 7 projection matrix models 7 Complications in projection matrix models Ch. 8

8 Sensitivity analysis for projection matrix models Ch. 9

9 Meta-population and other spatial models, part 1 Ch. 10-11

10 Students present results of research projects

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