Building better wildlife-habitat models

Wildlife-habitat models are an important tool in wildlife management toda?, and by far the majority of these predict aspects of species distribution (abundance or presence) as a proxy measure of habitat quality. Unfortunately, few are tested on independent data, and of those that are, few show useful predictive st;ill. We demonstrate that six critical assumptions underlie distribution based wildlife-habitat models, all of which must be valid for the model to predict habitat quality. We outline these assumptions in a mete-model, and discuss methods for their validation. Even where all sis assumptions show a high level of validity, there is still a strong likelihood that the model will not predict habitat quality. However, the meta-model does suggest habitat quality can be predicted more accurately if distributional data are ignored, and variables more indicative of habitat quality are modelled instead.

Editorial

This article presents information on the August 2003 issue of the "Journal of Hospitality & Tourism." One of the aims of the journal is to provide a link between the hospitality, tourism, leisure, travel and event industries and academia. As in previous years, the author had attempted to achieve this aim by using the mid-year issue of the journal to disseminate research from recent academic conferences to a wider audience. An understandable criticism of academic research, and the usefulness of the information generated, centres around the length of time research results take to filter through to industry. Academic conferences have traditionally been the forum where university academics present findings from recently completed research or present a synopsis of work completed to date in the form of work in progress abstracts. The focus of this issue is to develop a closer relationship between industry and academia through the publication of papers from two recent hospitality and tourism research conferences

Modelling the population dynamics of the Queensland fruit fly, Bactrocera (Dacus) tryoni: a cohort-based approach incorporating the effects of weather

Queensland fruit fly, Bactrocera (Dacus) tryoni (QFF) is arguably the most costly horticultural insect pest in Australia. Despite this, no model is available to describe its population dynamics and aid in its management. This paper describes a cohort-based model of the population dynamics of the Queensland fruit fly. The model is primarily driven by weather variables, and so can be used at any location where appropriate meteorological data are available. In the model, the life cycle is divided into a number of discreet stages to allow physiological processes to be defined as accurately as possible. Eggs develop and hatch into larvae, which develop into pupae, which emerge as either teneral females or males. Both females and males can enter reproductive and over-wintering life stages, and there is a trapped male life stage to allow model predictions to be compared with trap catch data. All development rates are temperature-dependent. Daily mortality rates are temperature-dependent, but may also be influenced by moisture, density of larvae in fruit, fruit suitability, and age. Eggs, larvae and pupae all have constant establishment mortalities, causing a defined proportion of individuals to die upon entering that life stage. Transfer from one immature stage to the next is based on physiological age. In the adult life stages, transfer between stages may require additional and/or alternative functions. Maximum fecundity is 1400 eggs per female per day, and maximum daily oviposition rate is 80 eggs/female per day. The actual number of eggs laid by a female on any given day is restricted by temperature, density of larva in fruit, suitability of fruit for oviposition, and female activity. Activity of reproductive females and males, which affects reproduction and trapping, decreases with rainfall. Trapping of reproductive males is determined by activity, temperature and the proportion of males in the active population. Limitations of the model are discussed. Despite these, the model provides a useful agreement with trap catch data, and allows key areas for future research to be identified. These critical gaps in the current state of knowledge exist despite over 50 years of research on this key pest. By explicitly attempting to model the population dynamics of this pest we have clearly identified the research areas that must be addressed before progress can be made in developing the model into an operational tool for the management of Queensland fruit fly. (C) 2003 Published by Elsevier B.V.

Editorial

Presents an introduction to articles related to hospitality and tourism published in this issue of the "Journal of Hospitality and Tourism Management."

Editorial

The article presents an introduction to the vol. 11 of the "Journal of Hospitality and Tourism Management." The author feels the need for a platform to publish articles and contemporary research in the areas of hospitality, travel, tourism, leisure and event management. The article presents brief information about some of the articles published in the issue. The first article is by Tim Lockyer entitled "Weekend Accommodation-The Challenge: What are the Guests Looking for?," it reports on the means of improving weekend occupancy in hotels. The second article is by Tim Lockyer and M. Tsai titled "Dimensions of Chinese Culture Values in Relation to the Hotel Dining Experience." In this article the authors examine their dining experience in a 5-star hotel in Taiwan. Another article is "Predicting Job Retention of Hourly Employees in the Lodging Industry," by Ady Milman and Peter Ricci. This article focuses on the data of hourly paid employees working in small or medium sized hotels in the United States.