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http://www.australiangold.ru/img/udachnyy/schastlivoe-imya-i-numerologiya.html Link Either by signing into your account or linking your membership details before your order is placed. Description Table of Contents Product Details Click on the cover image above to read some pages of this book! Missov: Mortality deceleration at older ages and the modal age at death. Jones and Ashley Hazel, Mobility and infectious disease. Swanson and Lucky Tedrow: Cohort change ratios and the approach to stability. The Fourth Industrial Revolution. In Stock. Has the Luck Run Out?
The Death of the West. The Good Immigrant. An important challenge is how to incorporate key demographic rates that occur infrequently e. Until now, nomadic male lions that disperse away from prides have made it difficult to assess a critical vital rate for this declining species: male survival.
Data limitations become even more apparent when extending population models to larger fields of inference, whether spatial extent e. With data on population abundances over time, but with incomplete information on vital rates, they are able to recover key demographic parameters. Applied ecology has important intersections with a range of social factors stakeholders, policy frameworks, etc.
Insurance: Mathematics and Economics. However, if mortality continues to decline at progressively higher ages in the coming decades, the Lee-Carter model may produce forecasts that fail to capture correctly both the average lifespan and lifespan disparity. A least squares approach to analyzing catch at age data. This occurs because of poor data contrast see Section In Denmark, we observe an increase in the average lifespan in the forecast years after a period of stagnation in the s and the early s.
Indeed, they expand the boundaries of demography by linking model outputs e. A key finding is that, while managers do incorporate demography, they face a much greater range of factors e. Another potential limitation to accurate forecasting is the context of the community in which populations exist. The 20 articles of this special feature highlight the opportunities at the intersections between demography and other disciplines. The ultimate reach of demography will depend in part on research priorities and design, and it will be increasingly important for studies to quantitatively leverage each other.
Recent advances in comparative demography e. Yet, most demographic studies are highly variable in nature and implementation and not designed with the foresight to connect with other data sets and extend beyond the original study goals. For example, while collecting demographic data, researchers may want to consider certain covariates that are broadly informative e. In this sense, one might extend the concept of comparative demography to that of collective demography, where demographic data are collected with the a priori consideration that they can inform a broader suite of ecological and evolutionary questions.
Beyond the requirements of the data themselves, demographic advances have relied on developing novel quantitative tools. What we see is an emerging opportunity, illuminated by a recent surge in diverse demographic research avenues and connections.
There is much to be gained by harnessing and directing this momentum towards greater ecological consilience. Simpson, A. Everard and R. English , and the special feature especially to A. Baier and L. Many thanks are also due to the over 40 anonymous referees involved in this special feature.
Dynamic Population Models is the first book to comprehensively discuss and The Springer Series on Demographic Methods and Population Analysis. Dynamic Population Models is the first book to comprehensively discuss and of the The Springer Series On Demographic Methods And Population Analysis.
Vaupel provided useful comments on earlier drafts of this manuscript. Volume , Issue 2. If you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account. If the address matches an existing account you will receive an email with instructions to retrieve your username.
Journal of Ecology Volume , Issue 2.
Demography beyond the population Free Access. Alden B. Correspondence authors. Tools Request permission Export citation Add to favorites Track citation. Share Give access Share full text access. Share full text access.
Please review our Terms and Conditions of Use and check box below to share full-text version of article. Introduction Demographers have long been intrigued by the interactions of conspecific individuals and their resulting dynamics. Figure 1 Open in figure viewer PowerPoint. Populations and demography in ecology and evolution Ecology and evolution are deeply rooted in population biology and demography.
Figure 2 Open in figure viewer PowerPoint. Opportunities and challenges in the special feature Extending the reach of demography involves both opportunities and challenges. Understanding variation and the drivers of populations In order to link demographic processes with other research areas in ecology and evolution, it is crucial that we continue to expand our understanding of the underlying factors that govern population dynamics.
Ecological forecasting and applications Applied ecology has important intersections with a range of social factors stakeholders, policy frameworks, etc. Projecting forward The 20 articles of this special feature highlight the opportunities at the intersections between demography and other disciplines. Data accessibility This paper does not use data.
Abadi, F. Ecology , 91 , 7 — Google Scholar. Crossref Google Scholar. Citing Literature. Figures References Related Information. Close Figure Viewer. Browse All Figures Return to Figure. Previous Figure Next Figure. Email or Customer ID. Forgot password? Old Password. New Password. Password Changed Successfully Your password has been changed. Returning user.
Request Username Can't sign in? Forgot your username? Enter your email address below and we will send you your username. Weiser Bayesian survival regression with flexible error and random effects distributions. Loop decomposition of weighted directed graphs for life cycle analysis, providing flexible network plotting methods and analysing food chain properties in ecology.