Influence of Deer Damage on Farmers\u27 Perceptions of Deer Population Trends: Important Implications for Managers

Farmers\u27 attitudes toward deer, their perceptions of deer depredations and their preferences for future deer population levels have been extensively studied in New York (Brown and Decker 1979; Brown et al. 1977a,1977b, 1978a,1978b, 1979,1980; Decker and Brown 1982; Decker et al. 1981a, 1981b). These studies have contributed to deer-population-management decisions that give consideration to farming interests. Nevertheless, farmers cannot be expected to support deer management efforts on their behalf if they do not understand the population changes such management is designed to achieve. Consequently, wildlife managers need to know whether or not the effects of such efforts are recognized. A direct indication of this, which had not been examined previously, is how well the farming community perceives changes in deer abundance over a reasonable period of time, say 5 years. Using data from the previous studies cited and a deer-population index, the authors sought an answer to the following question: Do farmers recognize managed increases or decreases in deer populations, or do they simply react to experience with deer damage

Suprageneric nomenclature in the Caryophyllaceae

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149755/1/tax04760.pd

Thermal constraints and optimization of winter feeding and habitat choice in white-tailed deer

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72577/1/j.1600-0587.1991.tb00640.x.pd

Overcoming Impediments to Youth Participating in Hunting: Program Implementation and Outcome Evaluations

Click on the PDF for an Executive Summary and the full report. Visit the HDRU website for a complete listing of HDRU publications at: http://hdru.dnr.cornell.edu

Quantitative Beschreibung der Schleifscheibentopographie: Anwendungsorientierte Charakterisierung der Schleifscheibentopographie anhand quantitativer Kenngrößen

In grinding technology, there is a considerable lack of knowledge about the influence of the grinding wheel topography on the process behaviour and the formation of the component surface zone properties. Therefore, the aim of the investigations was to investigate quantitative parameters for the description of the geometrical topography properties. These parameters enable to model the thermo-mechanical load collective in the grinding process as a function of the grinding wheel topography

A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems

Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated for other dynamic optimization problems with changing fitness landscapes, but only when associated with a fixed search space. In dynamic scheduling, the search space shifts as jobs are completed and new jobs arrive, so memory entries that describe specific points in the search space will become infeasible over time. The relative importances of jobs in the schedule also change over time, so previously good points become increasingly irrelevant. We describe a classifier-based memory for abstracting and storing information about schedules that can be used to build similar schedules at future times. We compared the memory enhanced EA with a standard EA and several common EA diversity techniques both with and without memory. The memory enhanced EA improved performance over the standard EA, while diversity techniques decreased performance.