標(biāo)題: Titlebook: Data-driven Modelling of Structured Populations; A Practical Guide to Stephen P. Ellner,Dylan Z. Childs,Mark Rees Book 2016 Springer Intern [打印本頁(yè)] 作者: deduce 時(shí)間: 2025-3-21 17:14
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書(shū)目名稱Data-driven Modelling of Structured Populations讀者反饋
書(shū)目名稱Data-driven Modelling of Structured Populations讀者反饋學(xué)科排名
作者: 來(lái)就得意 時(shí)間: 2025-3-21 20:36 作者: 巧辦法 時(shí)間: 2025-3-22 04:25
Basic Analyses 1: Demographic Measures and Events in the Life Cycle,lso possible to calculate the expected variation among individuals that results just from chance events, such as the stochasticity of who lives and who dies in a given year, without any inherent differences among individuals.作者: floodgate 時(shí)間: 2025-3-22 06:29
General Deterministic IPM,tidimensional. The main case study is a model with size and age structure based on the Soay sheep system, and we also use a size-quality model, and a model for tropical tree growth, to illustrate different aspects of how a general IPM is implemented numerically.作者: 豎琴 時(shí)間: 2025-3-22 09:34
Book 2016by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations.作者: 令人不快 時(shí)間: 2025-3-22 15:38 作者: 令人不快 時(shí)間: 2025-3-22 18:52
Basic Analyses 2: Prospective Perturbation Analysis,bation. We begin by showing how to calculate the . and . of . to perturbations of the kernel, vital rate functions, and their parameters. We finish by briefly describing how to derive analogous expressions for life cycle statistics.作者: 鈍劍 時(shí)間: 2025-3-22 21:27 作者: 包租車(chē)船 時(shí)間: 2025-3-23 03:04 作者: 微不足道 時(shí)間: 2025-3-23 07:49
The Institutional Review Board Processf density dependence. We first present some examples of formulating, parameterizing, and implementing a density-dependent IPM. We outline the general theory of density-dependent IPMs, and then look at what the theory tells us about the Soay sheep IPM when we add intraspecific competition, and how the dynamics depend on demographic parameters.作者: 兵團(tuán) 時(shí)間: 2025-3-23 13:27
Evaluation in Education and Human Servicesethods for finding ESS are presented. We then extend these ideas to cover stochastic environments and function-valued traits. For function-valued traits we model the entire function rather than the underlying parameters, and so we are not tied to a specific fitted function.作者: prodrome 時(shí)間: 2025-3-23 17:14
C. G. Morgan,Y. P. Yianni,S. S. Sandhuduals who can be re-found at each census. Better methods for fitting IPMs using mark-recapture data where recapture is not certain, or data on unmarked individuals, will greatly expand the scope for IPM applications, especially applications to animal populations.作者: 不近人情 時(shí)間: 2025-3-23 20:54
Simple Deterministic IPM, illustrate the process of fitting an IPM to population data, we generate artificial data using individual-based models of the monocarpic perennial ., and of the Soay sheep (.) population on St. Kilda (Clutton-Brock and Pemberton 2004).作者: 使害羞 時(shí)間: 2025-3-23 23:39
Density Dependence,f density dependence. We first present some examples of formulating, parameterizing, and implementing a density-dependent IPM. We outline the general theory of density-dependent IPMs, and then look at what the theory tells us about the Soay sheep IPM when we add intraspecific competition, and how the dynamics depend on demographic parameters.作者: 裂隙 時(shí)間: 2025-3-24 04:25 作者: 遍及 時(shí)間: 2025-3-24 09:53 作者: Flinch 時(shí)間: 2025-3-24 11:58
https://doi.org/10.1007/978-1-4613-1919-1bation. We begin by showing how to calculate the . and . of . to perturbations of the kernel, vital rate functions, and their parameters. We finish by briefly describing how to derive analogous expressions for life cycle statistics.作者: 惡心 時(shí)間: 2025-3-24 18:11
Deciding to Enter the Research Fieldre presented. Methods for construction and implementation of density-independent IPMs are then presented. The key properties of the stochastic growth rate (.) are summarized, along with methods for its estimation and appropriate perturbation theory. Methods for implementing Life Table Response Experiments (LTREs) analyses are discussed.作者: Ingredient 時(shí)間: 2025-3-24 22:56
Data-driven Modelling of Structured Populations978-3-319-28893-2Series ISSN 2193-4789 Series E-ISSN 2193-4797 作者: Torrid 時(shí)間: 2025-3-25 00:20
Thomas A. Ban M.D.,Leonard Levy M.D.ection Model (IPM), and survey various extensions to the basic IPM. Advice on using the book and the things you need to know (maths, stats, and programming-wise) are then covered. A final section covers notation and highlights areas where confusion might occur as a result of symbols having different meanings depending on the context.作者: fleeting 時(shí)間: 2025-3-25 04:24
Stephen P. Ellner,Dylan Z. Childs,Mark ReesThe only comprehensive monograph on Integral Projection Models in ecology.Accessible to beginners with minimal math and statistics background, but also includes cutting-edge research.Presents a wide r作者: 萬(wàn)花筒 時(shí)間: 2025-3-25 08:37 作者: 干旱 時(shí)間: 2025-3-25 14:55
Introduction,ection Model (IPM), and survey various extensions to the basic IPM. Advice on using the book and the things you need to know (maths, stats, and programming-wise) are then covered. A final section covers notation and highlights areas where confusion might occur as a result of symbols having different meanings depending on the context.作者: Judicious 時(shí)間: 2025-3-25 18:52 作者: theta-waves 時(shí)間: 2025-3-25 20:42 作者: 縱火 時(shí)間: 2025-3-26 01:12
Thomas A. Ban M.D.,Leonard Levy M.D.ection Model (IPM), and survey various extensions to the basic IPM. Advice on using the book and the things you need to know (maths, stats, and programming-wise) are then covered. A final section covers notation and highlights areas where confusion might occur as a result of symbols having different作者: 失敗主義者 時(shí)間: 2025-3-26 05:58 作者: 災(zāi)禍 時(shí)間: 2025-3-26 11:41 作者: MURAL 時(shí)間: 2025-3-26 15:05 作者: 悲觀 時(shí)間: 2025-3-26 16:55
The Institutional Review Board Processough the interspecific competition debates of the 1980s in community ecology, and up to the present day as the availability of long-term data has allowed meta-analysts to assess the prevalence and strength of density dependence across multiple taxa and habitats. In this chapter we take the perspecti作者: Matrimony 時(shí)間: 2025-3-27 00:19
Budget Planning and Development individual state is not described by a single number .. Instead . can be multidimensional (age and size, size and disease state, etc.); it can use different attributes at different stages of the life cycle (e.g., age-structured and size-structured breeding adults, depth-structured seeds, and stage-作者: Abominate 時(shí)間: 2025-3-27 05:04 作者: 不能妥協(xié) 時(shí)間: 2025-3-27 05:34 作者: Motilin 時(shí)間: 2025-3-27 10:23
Evaluation in Education and Human Servicesth evolution. Here we provide an overview of these methods showing how evolutionary dynamics and selection can be understood using IPMs. We show how selection can be approximated using sensitivities and how this leads to an approximation for trait dynamics. The endpoints of evolution – what we expec作者: 入伍儀式 時(shí)間: 2025-3-27 14:17 作者: FID 時(shí)間: 2025-3-27 20:11 作者: optic-nerve 時(shí)間: 2025-3-27 22:01 作者: 恃強(qiáng)凌弱的人 時(shí)間: 2025-3-28 04:11
Basic Analyses 1: Demographic Measures and Events in the Life Cycle,ustrated how the familiar measures of population change (stable population structure, long-term growth rate, reproductive value, etc.) can be calculated from an IPM. But the kernels that comprise an IPM also describe how individuals change in size or other state variables over their lifetime. In thi作者: prick-test 時(shí)間: 2025-3-28 08:03 作者: 救護(hù)車(chē) 時(shí)間: 2025-3-28 13:10 作者: Outmoded 時(shí)間: 2025-3-28 18:15 作者: Offstage 時(shí)間: 2025-3-28 21:29
Environmental Stochasticity,ous feature of natural ecosystems. To illustrate the process of incorporating environmental stochasticity into an IPM, we use an extended case study based on a well-studied field system. Methods for characterizing between-year variation in model parameters using both fixed and mixed effects models a作者: spinal-stenosis 時(shí)間: 2025-3-29 00:06
Spatial Models,f infectious diseases and genes. We review some of those models and two recent applications to questions of population persistence. The merger of demographic and spatial structure within one model came much later. The new modeling issue in spatial models is the dispersal kernel that describes indivi作者: 外來(lái) 時(shí)間: 2025-3-29 05:54
Evolutionary Demography,th evolution. Here we provide an overview of these methods showing how evolutionary dynamics and selection can be understood using IPMs. We show how selection can be approximated using sensitivities and how this leads to an approximation for trait dynamics. The endpoints of evolution – what we expec
