APPLICATION OF BAYESIAN STATISTICAL INFERENCE AND DECISION THEORY TO A FUNDAMENTAL PROBLEM IN NATURAL RESOURCE SCIENCE: THE ADAPTIVE MANAGEMENT OF AN ENDANGERED SPECIES

2008 ◽  
Vol 21 (2) ◽  
pp. 264-284 ◽  
Author(s):  
HOWARD B. STAUFFER
Keyword(s):  
Endangered Species ◽  
Decision Theory ◽  
Statistical Inference ◽  
Adaptive Management ◽  
Natural Resource ◽  
Fundamental Problem

Spatial Education: Improving Conservation Delivery Through Space-Structured Decision Making

2013 ◽  
Vol 4 (1) ◽  
pp. 199-210 ◽  
Author(s):  
Clinton T. Moore ◽  
Terry L. Shaffer ◽  
Jill J. Gannon
Keyword(s):  
Decision Making ◽  
Adaptive Management ◽  
Land Management ◽  
Natural Resource ◽  
Spatial Context ◽  
Biological Processes ◽  
Landscape Conservation ◽  
Structured Decision Making ◽  
Landscape Conservation Cooperatives ◽  
The U.S

Abstract Adaptive management is a form of structured decision making designed to guide management of natural resource systems when their behaviors are uncertain. Where decision making can be replicated across units of a landscape, learning can be accelerated, and biological processes can be understood in a larger spatial context. Broad-based partnerships among land management agencies, exemplified by Landscape Conservation Cooperatives (conservation partnerships created through the U.S. Department of the Interior), are potentially ideal environments for implementing spatially structured adaptive management programs.

scholarly journals Saving endangered species using adaptive management

2019 ◽  
Vol 116 (13) ◽  
pp. 6181-6186 ◽  
Author(s):  
Robert Serrouya ◽  
Dale R. Seip ◽  
Dave Hervieux ◽  
Bruce N. McLellan ◽  
R. Scott McNay ◽  
...  
Keyword(s):  
Endangered Species ◽  
First Nations ◽  
Adaptive Management ◽  
Forest Recovery ◽  
Vital Rates ◽  
Large Mammal ◽  
Continental Scale ◽  
Powerful Means ◽  
Emergency Measure ◽  
Ecosystem Alteration

Adaptive management is a powerful means of learning about complex ecosystems, but is rarely used for recovering endangered species. Here, we demonstrate how it can benefit woodland caribou, which became the first large mammal extirpated from the contiguous United States in recent history. The continental scale of forest alteration and extended time needed for forest recovery means that relying only on habitat protection and restoration will likely fail. Therefore, population management is also needed as an emergency measure to avoid further extirpation. Reductions of predators and overabundant prey, translocations, and creating safe havens have been applied in a design covering >90,000 km2. Combinations of treatments that increased multiple vital rates produced the highest population growth. Moreover, the degree of ecosystem alteration did not influence this pattern. By coordinating recovery involving scientists, governments, and First Nations, treatments were applied across vast scales to benefit this iconic species.

scholarly journals Summary on Bayes estimation and hypothesis testing

1988 ◽  
Vol 7 (1) ◽  
pp. 28-32
Author(s):  
D. J. De Waal
Keyword(s):  
Decision Making ◽  
Decision Theory ◽  
Hypothesis Testing ◽  
Statistical Inference ◽  
Group Decision Making ◽  
Group Decision ◽  
Bayes Theorem ◽  
Bayes Estimation ◽  
Bayesian Procedures ◽  
Tests Of Hypotheses

Although Bayes’ theorem was published in 1764, it is only recently that Bayesian procedures were used in practice in statistical analyses. Many developments have taken place and are still taking place in the areas of decision theory and group decision making. Two aspects, namely that of estimation and tests of hypotheses, will be looked into. This is the area of statistical inference mainly concerned with Mathematical Statistics.

scholarly journals Integrating Land Cover Modeling and Adaptive Management to Conserve Endangered Species and Reduce Catastrophic Fire Risk

Land ◽  
2014 ◽  
Vol 3 (3) ◽  
pp. 874-897 ◽  
Author(s):  
David Breininger ◽  
Brean Duncan ◽  
Mitchell Eaton ◽  
Fred Johnson ◽  
James Nichols
Keyword(s):  
Endangered Species ◽  
Land Cover ◽  
Adaptive Management ◽  
Fire Risk

It’s about Time: Adaptive Resource Management, Environmental Governance, and Science Studies

2018 ◽  
Vol 44 (2) ◽  
pp. 263-290 ◽  
Author(s):  
Kristoffer Whitney
Keyword(s):  
Resource Management ◽  
Adaptive Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Environmental Governance ◽  
Environmental Science ◽  
Science Studies ◽  
Temporal Orientation ◽  
Adaptive Resource Management ◽  
Adaptive Resource

This article examines adaptive resource management (ARM) as it has been applied to the US horseshoe crab fishery over the past decade. As a critical yet constructive exercise, I have three goals: to suggest how adaptive management, for all its promise, can still be improved; to add a nuanced case study to the literatures on the quantification of nature and environmental decision-making; and to use the example of ARM to make certain temporal aspects of contemporary natural resource management more salient to science and technology studies scholars—that is, to show the ways in which time matters in environmental science, policy, and the analysis thereof. I draw attention to the time-related aspects of adaptive management by developing the notions of temporal orientation and chronological accountability. Temporal orientation refers to the time-based perspectives and epistemological commitments—that is, past-facing empiricism versus future-oriented modeling—that scientists of different types bring to bear on environmental problems. Chronological accountability refers to the missing link in adaptive forms of environmental governance: firm time lines and commitments to reflexively revisit management decisions. The time-related aspects of natural resource management deserve greater attention among both environmental managers and analysts of environmental policy.

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