Located 2,600 miles southwest of Hawaii, the National Park of American Samoa is the most remote unit of the National Park System and the U.S. National Park south of the Equator. The Park spreads across three islands, 9,500 acres of tropical rainforest, and 4,000 acres of ocean, including coral reefs. While remote, the islands of American Samoa, true to the meaning of the word Samoa (Islands of Sacred Earth), are welcoming and offer beautiful landscapes and centuries of culture and history.
Seasoned backpacker and adventurer Yang Lu earned the grand prize in the 2015 Share the Experience photo contest with this image of a sunburst captured at sunrise in Glen Canyon National Recreation Area, Utah. Yang has made the outdoors part of his daily life and finds deep connection to the land through his lens.
“My photography is not just for recreation, it is to inspire people to explore these areas." -- Yang Lu
Photo by Yang Lu (www.sharetheexperience.org).
The plantings of cherry trees originated in 1912 as a gift of friendship to the People of the United States from the People of Japan. In Japan, the flowering cherry tree, or "Sakura," is an exalted flowering plant. The beauty of the cherry blossom is a potent symbol equated with the evanescence of human life and epitomizes the transformation of Japanese culture throughout the ages.
DOINews: Upcoming SE CSC Seminars on May 29 and 30
Last edited 4/26/2016
The Southeast Climate Science Center is hosting two seminars on May 29 and May 30 that will discuss conservation decision making under uncertainty. Both talks will take place in Williams Hall, room 2104, NC State University Main Campus. It is building #62 on the campus map.
May 29, 11 am Applied Conservation Decision-Making: Adapting in the Face of Uncertainty
Krishna Pacifici, Research Project Coordinator, North Carolina Cooperative Fish and Wildlife Research Unit, Department of Biology, North Carolina State University
Climate change presents unique challenges to the management and conservation of natural resources. Climate change is a special case of system change that occurs both spatially and temporally at an uncertain and accelerating rate, which results in nonstationarity or the notion that environmental variation is driven by processes that are evolving over time. Viewing climate change as an additional, yet unique, source of uncertainty to be handled in adaptive management allows us a flexible and robust framework to confront and adapt to climate change. Conserving species in light of climate change becomes a daunting task as the synergistic effect of climate and landscape alterations put species, specifically rare or threatened ones, at higher risk. I present two methods that were developed to estimate species' distribution and effects of landscape and environmental changes specifically for rare, spatially clustered populations. I suggest that these approaches are useful for informing conservation decision making and play a critical role in efficient monitoring. Because climate change impacts our conservation decisions at large scales and is inherently nonstationary, traditional approaches to finding an optimal solution are difficult. I describe recent work developing a framework for making decisions for large-scale spatially correlated decision problems with nonstationarity. I present an application based on the emergent infectious disease White-nose Syndrome (Geomyces destructans) in bats in the United States. This work is relevant for many other decision problems where climate change is thought to exacerbate the situation dramatically including wildlife/human diseases, invasive species, and landscape connectivity.
May 30, 11 am Natural Resource Decision-Making Under Uncertainty: Can We Treat Global Change as ‘Business as Usual'?
Mitchell Eaton, Assistant Leader, U.S. Geological Survey, New York Cooperative Fish and Wildlife Research Unit. Assistant Professor, Department of Natural Resources, Cornell University, Ithaca, NY.
Abstract: Making management decisions under the assumption of perfect knowledge about the factors and processes that influence resource dynamics is unrealistic and, worse, will likely lead to poor decisions. By recognizing the impacts of uncertainty on resource management, we can focus on applying the most appropriate tools for dealing with imperfect knowledge, which is essential in light of the uncertainty we face under climate change. Many existing approaches permit explicit incorporation of various forms of uncertainty into the decision process; these hold promise for making decisions that are less sensitive to unexpected events and enable us to formalize short-term learning for greater longer-term management gains. One rich set of methods for coping with uncertainty comes from decision theory, which is concerned with identifying values, system dynamics and uncertainties in order to select optimal decisions with respect to objectives. Applying decision analysis to complex problems is aided by breaking down the decision into its constituent elements, broadly classified as 1) the problem framework, including values, management constraints and alternative courses of action, 2) a model to capture system dynamics that links decisions to outcomes and 3) an analytical method to select the optimal decision or policy in order to maximize management utility. Climate change represents an extreme source of uncertainty that will impact many aspects of a decision process, including the ability to predict the future states of our managed systems. However, decision theory and alternative theoretic approaches offer the ability to address severe uncertainty in much the same way as other resource decision problems. I will introduce decision theory and the decision analytic approach and identify what components of a decision problem are likely to be most affected by climate change. I will discuss on-going work related to the challenges of managing habitat for the endangered Florida scrub-jay and a hypothetical problem of managing water resources in the face of sea-level rise to highlight the application of decision analytic approaches for advancing resource management given the reality of increased uncertainty under climate change.