For a rare prairie orchid, science is making climate change local
- Date:
- February 11, 2016
- Source:
- USDA Forest Service - Northern Research Station
- Summary:
- A dynamic model that focuses on site scale conservation has been developed to give conservation decision-makers the capacity to assess multiple interacting stressors at the local scale, identify the most important stressors, and evaluate the efficacy of management strategies in light of their cumulative impacts.
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Knowing how climate change may affect an entire region is only marginally useful to land managers trying to preserve the small white lady's slipper, a once-abundant orchid that today is found in small "postage stamp" prairie fragments as little as 10 acres in size in Minnesota and another dozen states across the Midwest. Land managers need the details: how might a small fragment of orchid habitat change with climate change, and what climate adaptation strategies will be most effective in preserving remaining populations of small white lady's slipper?
Research by University of Minnesota and USDA Forest Service scientists is helping answer those questions. Robert Haight and Stephanie Snyder of the USDA Forest Service's Northern Research Station in St. Paul, Minn., worked with principal investigator Laura Phillips-Mao and Susan Galatowitsch, both with the University of Minnesota, to create a dynamic model that focuses on site scale conservation.
Development of the model is described in a study, "Model-based scenario planning to develop climate change adaptation strategies for rare plant populations in grassland reserves," which was recently published by the journal Biological Conservation.
The small white lady's slipper orchid occurs in wet prairies, meadows, and fens and is a high risk species with respect to climate change because its wet prairie habitat is considered vulnerable to regional climate change impacts such as water table drawdowns and increased frequency of severe drought. Regional climate change projections may indicate higher temperature and more variable precipitation, but resulting changes in soil water availability will depend on local features, including soil texture and drainage, vegetative cover, topography and hydrology. On a site scale, climate change impacts may not manifest uniformly, and areas of currently suitable habitat for a given species may vary in their vulnerability to climate change.
"Our model accounts for these site-level features when projecting the potential impacts of different climate change scenarios," said Phillips-Mao. "The model delivers information about management strategies that is specific to the location and the plant itself, which gives managers much more certainty in decision-making." For the small white lady's slipper, such decisions may include whether to prioritize invasive species management, protect critical groundwater recharge areas, or increase monitoring intensity to detect population responses to drought and other environmental stressors.
"Modeling that makes the anticipated regional effects of climate change site-specific has the potential to benefit other rare species with very limited ranges," said Haight. "This approach gives conservation planners and practitioners information they need to make sound, on-the-ground management decisions in the face of climate change."
The small white lady's slipper is listed as endangered, threatened, rare or extirpated throughout most of its historic range, which extends extending from the Dakotas and Nebraska east to New York, Pennsylvania and Maryland, and from southern Canada south to Missouri, Kentucky and Virginia.
The mission of the Forest Service's Northern Research Station is to improve people's lives and help sustain the natural resources in the Northeast and Midwest through leading-edge science and effective information delivery.
Story Source:
Materials provided by USDA Forest Service - Northern Research Station. Note: Content may be edited for style and length.
Journal Reference:
- Laura Phillips-Mao, Susan M. Galatowitsch, Stephanie A. Snyder, Robert G. Haight. Model-based scenario planning to develop climate change adaptation strategies for rare plant populations in grassland reserves. Biological Conservation, 2016; 193: 103 DOI: 10.1016/j.biocon.2015.10.010
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