Livestock health encyclopedia; the control of diseases and parasites in cattle, sheep and goats, swine, horses and mules. /

Bibliography: p. 605-613.

Proceedings of session, host-specificity testing of exotic arthropod biological control agents : the biological basis for improvement in safety /

"August 2000"--Cover.

Research Planning Conference on Biological Control, March 20-22, 1984.

Mode of access: Internet.

Diseases and parasites of rabbits and their control /

First edition published in 1926 under title: Diseases and treatment of the rabbit.

A quarter of a century of public health in Charleston, South Carolina; a progress report of a program for the control of communicable diseases and the promotion of the public health, 1920-1945.

Mode of access: Internet.

Beauveria bassiana as a biological control agent of the corn rootworm : final report /

"Project: 88/142."

Shade-trees in towns and cities; their selection, planting, and care as applied to the art of street decoration; their diseases and remedies; their municipal control and supervision,

Mode of access: Internet.

Biological control of the Russian wheat aphid.

"Issued December 1993"--P. 15.

Biological control of spotted and diffuse knapweeds.

"Issued December 1994"--P. [2].

Biological control of alligatorweed, 1959-1972 : a review and evaluation /

Issued May 1977.

Insects associated with wild plants in Europe and the Middle East : biological control of weeds surveys /

Includes index.

Biological control of the citrus blackfly in Mexico /

Cover title.

Predicting population dynamics of weed biological control agents: science or gazing into crystal balls?

Various factors can influence the population dynamics of phytophages post introduction, of which climate is fundamental. Here we present an approach, using a mechanistic modelling package (CLIMEX), that at least enables one to make predictions of likely dynamics based on climate alone. As biological control programs will have minimal funding for basic work (particularly on population dynamics), we show how predictions can be made using a species geographical distribution, relative abundance across its range, seasonal phenology and laboratory rearing data. Many of these data sets are more likely to be available than long-term population data, and some can be incorporated into the exploratory phase of a biocontrol program. Although models are likely to be more robust the more information is available, useful models can be developed using information on species distribution alone. The fitted model estimates a species average response to climate, and can be used to predict likely geographical distribution if introduced, where the agent is likely to be more abundant (i.e. good locations) and more importantly for interpretation of release success, the likely variation in abundance over time due to intra- and inter-year climate variability. The latter will be useful in predicting both the seasonal and long-term impacts of the potential biocontrol agent on the target weed. We believe this tool may not only aid in the agent selection process, but also in the design of release strategies, and for interpretation of post-introduction dynamics and impacts. More importantly we are making testable predictions. If biological control is to become more of a science making and testing such hypothesis will be a key component.

Use of CLIMEX modelling to identify prospective areas for exploration to find new biological control agents for prickly acacia

Selection of biocontrol agents that are adapted to the climates in areas of intended release demands a thorough analysis of the climates of the source and release sites. We present a case study that demonstrates how use of the CLIMEX software can improve decision making in relation to the identification of prospective areas for exploration for agents to control the woody weed, prickly acacia Acacia nilotica ssp. indica in the arid areas of north Queensland.