Incorporating Environmental Uncertainty into Species Management Decisions: Kirtland's Warbler Habitat Management as a Case Study

1998 ◽  
Vol 12 (5) ◽  
pp. 975-985 ◽  
Author(s):  
Elizabeth Marshall ◽  
Robert Haight ◽  
Frances R. Homans
Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1065
Author(s):  
Eric Henderson ◽  
Howard Hoganson

A spatially explicit management strategy is presented for Kirtland’s Warbler (Setophaga kirtlandii) habitat on the Hiawatha National Forest in Michigan’s Upper Peninsula. The Hiawatha National Forest has a goal of continuously providing large patches of dense young jack pine for Kirtland’s warbler breeding habitat. The problem is challenging as patches of suitable habitat are relatively short lived, forcing large shifts in the location of large patches in the future. In this study, alternative management strategies for providing habitat are described, explicitly mapped, and compared on a 70,600 ha landscape in the context of implementing many desired conditions of the forest’s land management plan. Strategies are developed by using two interacting scheduling models. Comparisons address overall habitat levels, habitat spatial arrangement through time, and financial trade-offs. The financial cost of managing habitat is high and there are further financial trade-offs associated with aggregating habitat into large patches. Furthermore, the marginal cost of habitat increases as more habitat is added to the management system. Managers may use information about the added costs of spatially explicit habitat management to help evaluate the added benefits to the species. It is often expensive to establish wildlife habitat and desirable ecological conditions, but results show that there are potential benefits from using detailed computer-aided management scheduling tools to support the decision-making process.


2019 ◽  
Vol 51 (4) ◽  
Author(s):  
Seloba Ignitius Chuene ◽  
Martin Johannes Potgieter ◽  
Johannes Wilhelmus Kruger

2014 ◽  
Author(s):  
Carol I. Bocetti ◽  
Deahn M. Donner ◽  
Harold F. Mayfield

2015 ◽  
Vol 8 (2) ◽  
pp. 167-181
Author(s):  
Roxana Popa Strainu ◽  
Mircea Georgescu

AbstractA system built to support management decisions and not only needs to be accurate and well adapted to the requirements of the decision and the variables involved in it, and this happens because a decision is still a human act in any type of business and institution. We can say that a decision support system has a part in it that cannot be determined by any software: the human decision which is not a determinist act. It depends on a lot of variables but also still involves the decision maker intuition and experience. This is why an important problem emerged to be discussed in this paper: the need to implement and develop an in house solution to help management decisions and not only, using existing tools and this with no additional fees. This can be a good opportunity to discover models and solutions. An identified solution using Microsoft Excel and Access is discussed in this paper and a model applied on a case study will be presented. The results of the case study showed a real support in making decisions and a better transparency in manipulating the data, improving also the time needed to collect, transform and present data. The model can be applied in any type of problem that needs a visual presentation of data as well as in situations that need working with a large amount of data, but especially in small and medium size companies.


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