Source-sink population dynamics driven by a brood parasite: A case study of an endangered songbird, the black-capped vireo

Understanding methods of vector control is essential to vector-borne disease (VBD) management. Vaccines or standard medical interventions for many VDBs do not exist or are poorly developed so disease control is focused on managing vector numbers and dynamics. This involves understanding not only the population dynamics but also the population genetics of vectors. Using mosquitoes as a case study, in this chapter, the modern genetics-based methods of vector control (self-limiting, self-sustaining) on mosquito population and disease suppression will be reviewed. These genetics-based methods highlight the importance of understanding the interplay between genetics and ecology to develop optimal, cost-effective solutions for control. The chapter focuses on how these genetics-based methods can be integrated with other interventions, and concludes with a summary of regulatory and policy perspectives about the use of these approaches in the management of VBDs.

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Integral projection models

10.1093/oso/9780198838609.003.0010 ◽

2021 ◽

pp. 181-196

Author(s):

Edgar J. González ◽

Dylan Z. Childs ◽

Pedro F. Quintana-Ascencio ◽

Roberto Salguero-Gómez

Keyword(s):

Population Dynamics ◽

Environmental Variables ◽

Linear Models ◽

Vital Rates ◽

Matrix Population Models ◽

Generalised Linear Models ◽

Integral Projection Models ◽

Integral Projection ◽

Over Time

Integral projection models (IPMs) allow projecting the behaviour of a population over time using information on the vital processes of individuals, their state, and that of the environment they inhabit. As with matrix population models (MPMs), time is treated as a discrete variable, but in IPMs, state and environmental variables are continuous and are related to the vital rates via generalised linear models. Vital rates in turn integrate into the population dynamics in a mechanistic way. This chapter provides a brief description of the logic behind IPMs and their construction, and, because they share many of the analyses developed for MPMs, it only emphasises how perturbation analyses can be performed with respect to different model elements. The chapter exemplifies the construction of a simple and a more complex IPM structure with an animal and a plant case study, respectively. Finally, inverse modelling in IPMs is presented, a method that allows population projection when some vital rates are not observed.

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Population Dynamics, Malthusian Crises and Boserupian Innovation in Pre-Industrial Societies: The Case Study of Northern Italy (ca. 1450–1800) in the Light of Lee’s “Dynamic Synthesis”

From Malthus’ Stagnation to Sustained Growth ◽

10.1057/9780230392496_3 ◽

2012 ◽

pp. 18-51 ◽

Cited By ~ 1

Author(s):

Guido Alfani

Keyword(s):

Population Dynamics ◽

Northern Italy ◽

Dynamic Synthesis ◽

Industrial Societies

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Bio-economic analysis of super-intensive closed shrimp farming and improvement of management plans: a case study in Japan

Fisheries Science ◽

10.1007/s12562-019-01357-5 ◽

2019 ◽

Vol 85 (6) ◽

pp. 1055-1065 ◽

Cited By ~ 1

Author(s):

Junpei Shinji ◽

Setsuo Nohara ◽

Nobuyuki Yagi ◽

Marcy Wilder

Keyword(s):

Population Dynamics ◽

Structural Equation ◽

Structural Equation Models ◽

Experimental Studies ◽

Shrimp Farming ◽

Research Subjects ◽

Economic Management ◽

Economic Productivity ◽

New Research

AbstractCrustacean aquaculture is a multibillion-dollar industry worldwide that continues to show significant growth. Shrimp farming has been intensified for decades, and super-intensive closed culture systems have now been developed to improve productivity and reduce environmental burdens. Here, we used bio-economic approaches to investigate the mechanisms and economic productivity of shrimp farming. We used three steps: (1) path analysis by using structural equation models to determine the candidate factors associated with productivity; (2) modeling of population dynamics and profits; and (3) simulations based on the models to clarify the productive characteristics of a super-intensive closed culture system. Our findings suggest that the population dynamics of the system were limited by unidentified factors that differed from those found in many experimental studies, such as water temperature, salinity, dissolved oxygen, and nitrogenous waste. The unidentified factors were related to the number of days of rearing and cumulative biomass mortality. The production plan suggested by our simulation required frequent culture rotation to increase profits. Our case study provides important practical information about the characteristics of super-intensive shrimp farming, implications for efficient economic management, and new research subjects for the future.

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