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Modified items

All recently modified items, latest first.
AppLCC - Work Plan [Tasks] and [Goals] Reporting by Jean Brennan, last updated: Feb 20, 2015 10:55 AM
 
SIAS - 2014 by Jean Brennan, last updated: Feb 20, 2015 10:55 AM
 
AppLCC 2014 P-Track (CC) Reporting by Jean Brennan, last updated: Feb 20, 2015 10:54 AM
Response to request from Rick Bennett, for P-Track (Climate) Reporting to DOI. NOTE: added the specific research-projects associated with each score to help in future reporting.
4 NFWPCAS AppLCC Crosswalk by Web Editor, last updated: Feb 20, 2015 10:54 AM
Crosswalk between the Appalachian LCC Objectives, Actions/Tasks, and Funded Research as addressed in 5-Year Work Plan and the National Fish, Wildlife and Plant Climate Adaptation Strategy
P-Track FY2014 reporting: AppLCC - (jb) corrected-2 by Web Editor, last updated: Feb 20, 2015 10:54 AM
P-Track FY2014 reporting AppLCC (jb) corrected-2
North Atlantic LCC - NFWPCAS Strategy Crosswalk by Andrew Milliken, last updated: Feb 20, 2015 10:54 AM
North Atlantic LCC - NFWPCAS Crosswalk of strategies and actions
National Fish Wildlife and Plants Climate Adaptation Strategy strategies and goals by Andrew Milliken, last updated: Feb 20, 2015 10:54 AM
National Fish Wildlife and Plants Climate Adaptation Strategy goals, strategies and actions from Chapter 3 of the document
FWS-Adaptation Reporting - xls - on Workshops by Jean Brennan, last updated: Feb 20, 2015 10:54 AM
This is a FWS reporting template (xls) used by all regions of the FWS to their LCCs on reporting any "Adaptation Workshops."
Historic-Reference_CC-HighPerformGoalAction - draft by Jean Brennan, last updated: Feb 20, 2015 10:54 AM
This appears to be an early (2011-2012) draft to guide DOI reporting under the Climate Change activities: Vulnerability Assessment, Strategies, Data Collection etc. Provides a glossary/definitions of term section.
CC-AdaptationActivities - Guidance by Jean Brennan, last updated: Feb 20, 2015 10:54 AM
DOI required annual reporting as part of an Executive Order on "Climate Change Adaptation Activities." Each FWS operating unit, including LCCs, report to the FWS and rolls-up to DOI reporting under the EO.
CC-AdaptationActivities - Template 1 by Jean Brennan, last updated: Feb 20, 2015 10:54 AM
DOI required annual reporting as part of an Executive Order on "Climate Change Adaptation Activities." Each FWS operating unit, including LCCs, report to the FWS and rolls-up to DOI reporting under the EO.
CC-AdaptationActivities - Template 2 by Jean Brennan, last updated: Feb 20, 2015 10:54 AM
DOI required annual reporting as part of an Executive Order on "Climate Change Adaptation Activities." Each FWS operating unit, including LCCs, report to the FWS and rolls-up to DOI reporting under the EO.
CC-AdaptationActivities-EO - signed DOI file by Jean Brennan, last updated: Feb 20, 2015 10:54 AM
DOI required annual reporting as part of an Executive Order on "Climate Change Adaptation Activities." Each FWS operating unit, including LCCs, report to the FWS and rolls-up to DOI reporting under the EO.
Current Research (2015) by Jean Brennan, last updated: Feb 20, 2015 08:59 AM
Links to relevant conservation research:
April 2015 Workshop Materials & Logistical Information by Jean Brennan, last updated: Feb 20, 2015 08:46 AM
Include the materials for workshop participants to review or complete in advance of the workshop.
Aquatic Resource Management & Conservation Planning by Jean Brennan, last updated: Feb 20, 2015 08:25 AM
Tools, indices, and other resource materials etc. for prioritization, management, and decision-making by resource managers.
Relevant reprints by Jean Brennan, last updated: Feb 20, 2015 08:23 AM
As referenced in Ben Letcher's 2014 Presentation Slides (partial list)
2014 Lecture: Forecasting changes in stream flow, temperature, and salmonid populations in Eastern U.S. as a result of climate change by Jean Brennan, last updated: Feb 20, 2015 08:21 AM
Ben Letcher
Forecasting changes in stream flow, temperature, and salmonid populations in Eastern U.S. as a result of climate change by Jean Brennan, last updated: Feb 20, 2015 08:17 AM
Presentation by Ben Letcher. One of the slides near the end is entitled: Papers where he lists many relevant publications
A regional neural network ensemble for predicting mean daily river water temperature by Jean Brennan, last updated: Feb 20, 2015 08:17 AM
Abstract: Water temperature is a fundamental property of river habitat and often a key aspect of river resource management, but measurements to characterize thermal regimes are not available for most streams and rivers. As such, we developed an artificial neural network (ANN) ensemble model to predict mean daily water temperature in 197,402 individual stream reaches during the warm season (May–October) throughout the native range of brook trout Salvelinus fontinalis in the eastern U.S. We compared four models with different groups of predictors to determine how well water temperature could be predicted by climatic, landform, and land cover attributes, and used the median prediction from an ensemble of 100 ANNs as our final prediction for each model. The final model included air temperature, landform attributes and forested land cover and predicted mean daily water temperatures with moderate accuracy as determined by root mean squared error (RMSE) at 886 training sites with data from 1980 to 2009 (RMSE = 1.91 C). Based on validation at 96 sites (RMSE = 1.82) and separately for data from 2010 (RMSE = 1.93), a year with relatively warmer conditions, the model was able to generalize to new stream reaches and years. The most important predictors were mean daily air temperature, prior 7 day mean air temperature, and network catchment area according to sensitivity analyses. Forest land cover at both riparian and catchment extents had relatively weak but clear negative effects. Predicted daily water temperature averaged for the month of July matched expected spatial trends with cooler temperatures in headwaters and at higher elevations and latitudes. Our ANN ensemble is unique in predicting daily temperatures throughout a large region, while other regional efforts have predicted at relatively coarse time steps. The model may prove a useful tool for predicting water temperatures in sampled and unsampled rivers under current conditions and future projections of climate and land use changes, thereby providing information that is valuable to management of river ecosystems and biota such as brook trout.