scholarly journals Evaluating Adaptive Management Options for Black Ash Forests in the Face of Emerald Ash Borer Invasion

Forests ◽  
2018 ◽  
Vol 9 (6) ◽  
pp. 348 ◽  
Author(s):  
Anthony D’Amato ◽  
Brian Palik ◽  
Robert Slesak ◽  
Greg Edge ◽  
Colleen Matula ◽  
...  
2015 ◽  
Vol 45 (12) ◽  
pp. 1728-1738 ◽  
Author(s):  
Christopher E. Looney ◽  
Anthony W. D’Amato ◽  
Brian J. Palik ◽  
Robert A. Slesak

Fraxinus nigra Marsh. (black ash) wetland forests in northern Minnesota, USA, are threatened by the invasive insect, emerald ash borer (Agrilus planipennis Fairmaire (EAB)). A potential management option is promoting regeneration of tree species that are not EAB hosts to maintain ecosystem functions. Using an operational-scale field experiment, we examined the survival of 12 alternative tree species in response to different canopy treatments. We planted the seedlings in 1.6 ha plots assigned to four replicated canopy treatments: untreated control, group selection (0.04 ha gaps, 20% of stand), black ash girdling to emulate EAB-induced mortality, and clearcut. Fall and spring plantings were used to compare the effects of spring ponding. Control (32.9%), group selection (34.5%), and girdling (33.3%) treatments had comparable overall seedling survival. Survival in the clear-cut treatments was significantly lower (22%). Species selection, overstory treatment, and season of planting together resulted in survival rates ranging from 0.08% to 94.1%. Conifer species had low overall rates of survival (10.7%), whereas some species with native ranges not presently overlapping with northern F. nigra forests, e.g., Quercus bicolor Willd. (75.5%), had high survival rates. If growth is light-limited, group selection may be effective in promoting recruitment and supporting a larger variety of species.


2002 ◽  
Vol 59 (11) ◽  
pp. 1709-1716 ◽  
Author(s):  
Andrew R Bearlin ◽  
E S.G Schreiber ◽  
Simon J Nicol ◽  
A M Starfield ◽  
Charles R Todd

As part of an ongoing program of management for a critically endangered fish, we explored adaptive management as a method to overcome pervasive uncertainty regarding the reintroduction of trout cod (Maccullochella macquariensis Cuvier). We simulated the entire adaptive management cycle to explore the suitability of the approach for guiding threatened species management and to identify problems and barriers to "learning by doing". During the planning phase, a number of compromises were identified between specification of goals and objectives, the available management options, and current monitoring capacity. Undertaking a simulation of the implementation of alternate adaptive approaches to this reintroduction provided a number of insights into adaptive management in general. First, identifying the weak link in the process of inference emphasized the need to consider whether goals and objectives are achievable and meaningful and whether they complement monitoring and (or) any other limitations of the system. Second, in natural resource management, it is crucial to negotiate objectives in the light of what one can measure. Third, although there are lessons to be learned from each stage of the adaptive management cycle, there is value in simulating the entire adaptive management cycle, including management actions, monitoring, and the states of the system that lead to management intervention.


1981 ◽  
Vol 38 (6) ◽  
pp. 678-689 ◽  
Author(s):  
Carl J. Walters

Available data are often inadequate to discriminate among alternative models that make different predictions about the consequences of allowing escapements outside the range of recent historical experience. Dynamic programming is used to show that the optimum policy in such situations can involve active probing or experimentation with escapements. The optimum adaptive policy is usually difficult to compute, but generally may be closely approximated by a "Bayes equivalent" policy that is simpler to estimate but does not account explicitly for the value of information associated with allowing more extreme escapements. While there are various practical difficulties in estimating and implementing an optimum policy, it is concluded that regular probing experiments should be included in every fishery management plan.Key words: stock-recruitment, optimization, adaptive management, stochastic models


2010 ◽  
Vol 2 (2) ◽  
Author(s):  
Heikki Sakari Lehtonen ◽  
Reimund Paul Rötter ◽  
Taru Irmeli Palosuo ◽  
Tapio Juhani Salo ◽  
Janne Antero Helin ◽  
...  

2018 ◽  
Vol 15 (2) ◽  
pp. 171-217
Author(s):  
Hendrik Schoukens

The concept of adaptive management is generally defined as a flexible decision-making process that can be adjusted in the face of uncertainties as outcomes of management actions and other events become better understood. These experimental management strategies, which may grant permit agencies more discretion to authorise economic developments, have become increasingly popular as tools to overcome deadlock scenarios in the context of the EU Nature Directives. One notable application is the Dutch Programmatic Approach to Nitrogen (Programma Aanpak Stikstof – PAS ), which puts forward a more reconciliatory and integrated approach towards permitting additional nitrogen emissions in the vicinity of Natura 2000 sites. The purpose of this paper is to use the Dutch PAS as a benchmark to explore the margins available within the EU Nature Directives to implement more flexible adaptive management strategies. This paper argues that the Dutch PAS, especially taking into account the immediate trade-off that is provided between future restoration actions and ongoing harmful effects, appears to stand at odds with the substantive underpinning of the EU Nature Directives. As a result, its concrete application might be stalled through legal actions which advocate for a more restrictive approach to the authorization of additional impacts on vulnerable EU protected nature. It therefore remains highly doubtful whether the Dutch PAS is to be presented as a textbook example of a genuine sustainable management strategy within the context of EU environmental law.


Ecosystems ◽  
2015 ◽  
Vol 19 (2) ◽  
pp. 248-270 ◽  
Author(s):  
Louis Iverson ◽  
Kathleen S. Knight ◽  
Anantha Prasad ◽  
Daniel A. Herms ◽  
Stephen Matthews ◽  
...  

2020 ◽  
Vol 588 ◽  
pp. 125015 ◽  
Author(s):  
Y.C. Ethan Yang ◽  
Kyongho Son ◽  
Fengwei Hung ◽  
Vincent Tidwell

2011 ◽  
Vol 72 (16) ◽  
pp. 1990-1998 ◽  
Author(s):  
Yigen Chen ◽  
Justin G.A. Whitehill ◽  
Pierluigi Bonello ◽  
Therese M. Poland

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