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Description

September 07, 2017 - September 28, 2017

As climates shift and change, ecosystems respond in a variety of ways. Assessing the ecological impacts of a changing climate is crucial for natural resource management decision-making. NASA Earth observations can be used to help make these decisions. This four-week webinar series, in collaboration with the USGS North Central Climate Center, will include an overview of the satellites, sensors, and tools relevant to ecological forecasting; available climate products and data for ecological modeling; scenario planning; and the application of modeling for species distribution and state-and-transition simulations.

Agenda Cite This Training

Objective

By the end of this training, attendees will be able to:

  • Understand what ecoforecasting is and its applications
  • Understand how climate data supports future projections of management targets
  • Articulate how scenario planning can be utilized for decision-making with multiple sources of uncertainty
  • Integrate qualitative and quantitative tools to support resource management decision-making in situations with high uncertainty
Audience

Local, regional, state, federal, and international organizations charged with maintaining healthy ecosystems, and interested in ecological forecasting using satellite imagery and climate data. 

Course Format
  • Four 1-hour sessions 
Sessions
Part One: Overview of Ecological Forecasting

An introduction ot the use of remotely-sensed data for predictors in ecological forecasting; an overview of example sensors and tools relevant to ecological forecasting (MODIS NDVI, VIIRS Land products, AppEARS); and case study examples.

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Part Two: Overview of Climate Science and Data

An introduction to gridded historic and projected climate data; and considerations of appropriate use of climate data in ecological impact assessments, including downscaling (statistical vs. dynamical) and bias correction methods.

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Part Three: Overview of Scenario Planning

Scenario planning as a tool for grappling with the uncertainty of climate change and other factors, and how those affect management objectives; selecting a small set of climate futures; considering additional, non-climate factors; developing scenarios of climate impacts and potential management responses; and case study examples.

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Part Four: Overview of Species Distribution and State-And-Transition Simulation Modeling

An introduction to combining ecological response models; an overview of species distribution modeling, including ecological response modeling technique examples, an explanation of correlative species distribution models, and an introduction to VisTrails; limitations of correlative approaches; and ecological simulation modeling, including an overview of simulation modeling approaches and examples, state-and-transition conceptual models and simulations, and an introduction to ST-Sim software.

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Prerequisites

 

 

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