Return to Wildland Fire
Return to Northern Bobwhite site
Return to Working Lands for Wildlife site
Return to Working Lands for Wildlife site
Return to SE Firemap
Return to the Landscape Partnership Literature Gateway Website
RETURN TO LANDSCAPE PARTNERSHIP SITE
return to main site

Skip to content. | Skip to navigation

Sections

Personal tools

You are here: Home

Modified items

All recently modified items, latest first.
Fall and Early Winter Movement and Habitat Use of Wild Brook Trout by Jean Brennan, last updated: Feb 20, 2015 01:15 PM
Abstract Brook Trout Salvelinus fontinalis populations face a myriad of threats throughout the species’ native range in the eastern United States. Understanding wild Brook Trout movement patterns and habitat requirements is essential for conserving existing populations and for restoring habitats that no longer support self-sustaining populations. To address uncertainties related to wild Brook Trout movements and habitat use, we radio-tracked 36 fish in a headwater stream system in central Pennsylvania during the fall and early winter of 2010–2011. We used generalized additive mixed models and discrete choice models with random effects to evaluate seasonal movement and habitat use, respectively. There was variability among fish in movement patterns; however, most of the movement was associated with the onset of the spawning season and was positively correlated with fish size and stream flow. There was heterogeneity among fish in selection of intermediate (0.26–0.44 m deep) and deep (0.44–1.06 m deep) residual pools, while all Brook Trout showed similar selection for shallow (0.10–0.26 m) residual pools. There was selection for shallow residual pools during the spawning season, followed by selection for deep residual pools as winter approached. Brook Trout demonstrated a threshold effect for habitat selection with respect to pool length, and selection for pools increased as average pool length increased up to approximately 30 m, and then use declined rapidly for pool habitats greater than 30 m in length. The heterogeneity and nonlinear dynamics of movement and habitat use of wild Brook Trout observed in this study underscores two important points: (1) linear models may not always provide an accurate description of movement and habitat use, which can have implications for management, and (2) maintaining stream connectivity and habitat heterogeneity is important when managing self-sustaining Brook Trout populations.
Detecting Temporal Trends in Freshwater Fisheries Surveys: Statistical Power and the Important Linkages between Management Questions and Monitoring Objectives by Jean Brennan, last updated: Feb 20, 2015 01:15 PM
by T.Wagner et al., ABSTRACT: Monitoring to detect temporal trends in biological and habitat indices is a critical component of fisheries management. Thus, it is important that management objectives are linked to monitoring objectives. This linkage requires a definition of what constitutes a management-relevant “temporal trend.” It is also important to develop expectations for the amount of time required to detect a trend (i.e., statistical power) and for choosing an appropriate statistical model for analysis. We provide an overview of temporal trends commonly encountered in fisheries management, review published studies that evaluated statistical power of long-term trend detection, and illustrate dynamic linear models in a Bayesian context, as an additional analytical approach focused on shorter term change. We show that monitoring programs generally have low statistical power for detecting linear temporal trends and argue that often management should be focused on different definitions of trends, some of which can be better addressed by alternative analytical approaches.
Spatial and Temporal Dynamics in Brook Trout Density: Implications for Population Monitoring by Jean Brennan, last updated: Feb 20, 2015 01:15 PM
T.Wagner et al., Abstract Many potential stressors to aquatic environments operate over large spatial scales, prompting the need to assess and monitor both site-specific and regional dynamics of fish populations. We used hierarchical Bayesian models to evaluate the spatial and temporal variability in density and capture probability of age-1 and older Brook Trout Salvelinus fontinalis from three-pass removal data collected at 291 sites over a 37-year time period (1975–2011) in Pennsylvania streams. There was high between-year variability in density, with annual posterior means ranging from 2.1 to 10.2 fish/100 m2 ; however, there was no significant long-term linear trend. Brook Trout density was positively correlated with elevation and negatively correlated with percent developed land use in the network catchment. Probability of capture did not vary substantially across sites or years but was negatively correlated with mean stream width. Because of the low spatiotemporal variation in capture probability and a strong correlation between first-pass CPUE (catch/min) and three-pass removal density estimates, the use of an abundance index based on first-pass CPUE could represent a cost-effective alternative to conducting multiple-pass removal sampling for some Brook Trout monitoring and assessment objectives. Single-pass indices may be particularly relevant for monitoring objectives that do not require precise site-specific estimates, such as regional monitoring programs that are designed to detect long-term linear trends in density.
State Stream Temperature Compilation by Jean Brennan, last updated: Feb 20, 2015 12:49 PM
.
NALCC Project Metadata spreadsheet w/ coding by Jean Brennan, last updated: Feb 20, 2015 12:27 PM
Scott's email: As a starting point for discussion, Maritza and I have cross-walked our project pages with the fields in the National Project Catalog. We've color-coded them based on the degree to which they match (e.g., green = exact match, red = something in National system that we don't have). For the AppLCC, we also included Rose's cross-walk of your fields with the National Catalog.
Mallek, Maritza by Maritza Mallek, last updated: Feb 20, 2015 11:24 AM
 
Rose's Crosswalk - sent to Scott Jan 9th 2015 by Jean Brennan, last updated: Feb 20, 2015 11:15 AM
Rose's email: sending to you and Scott the crosswalk I worked on.
North Atlantic LCC Science Strategy by Andrew Milliken, last updated: Feb 20, 2015 11:00 AM
Original North Atlantic LCC Science Strategy primarily organized around Northeast Conservation Framework. Matrix at end updated annually. Recent updates will be provided separately.
AppLCC Site Map by Web Editor, last updated: Feb 20, 2015 11:00 AM
AppLCC Site Map
Annual Planning Cycle v 2014-4-12 jb by Web Editor, last updated: Feb 20, 2015 11:00 AM
Annual Planning Cycle v 2014-4-12 jb
XWalk - (Key File) - Crosswalk on SHC & OTHER frameworks incl. AppLCC by Jean Brennan, last updated: Feb 20, 2015 11:00 AM
This is a KEY file as it (1) presents a "crosswalk" between all the various (regionally-referenced) conservation frameworks (cycle graphics of various names): (a) SHC (Strategic Habitat Conservation) Elements, (b) [NE-FWS; Ken Elow] Northeast Regional Conservation Framework (NRCF) = "NALCC model" = "Albany Workshop" cycles/elements, (c) SWAP (state wildlife action plan) Elements, (d) [SE-FWS; Bill Uihlein] Southeastern Conservation Adaptation Strategy = "SECAS", .......AND this shows (e) the alignment of the AppLCC's 5-Year Work Plan (i.e., the Goal, Objective, and Task) shown as a three-digit code.
jb - NAS REQUEST FOR BUDGET DATA: AppLCC revised With Colm 3 2014-10-07 by Web Editor, last updated: Feb 20, 2015 11:00 AM
jb - NAS REQUEST FOR BUDGET DATA: AppLCC revised With Colm 3 2014-10-07
AppLCC NAS reporting by Jean Brennan, last updated: Feb 20, 2015 11:00 AM
2014-09-24 reporting #s in response to NAS review -- posted on Sharepoint
Task 4 Responses V3 by Web Editor, last updated: Feb 20, 2015 10:58 AM
Elements of success include both tangible (products, funding, actions with direct links etc…) and intangible components (the synergy of the partnership to foster ideas and relationships which may lead to changes in actions by participating collaborators etc…). Our response to this request for information on performance measures, and about project funding patterns, places the emphasis of success more on the measures that are tangible and directly tied to LCC action, but does not appropriately capture the value of a broad partnership. This should be a topic of conversation with the NAS panel.
AppLCC - Goal 4 by Jean Brennan, last updated: Feb 20, 2015 10:58 AM
Goal 4 update reporting on progress as of Aug 2014
AppLCC - Goal 3 by Jean Brennan, last updated: Feb 20, 2015 10:58 AM
Goal 3 update reporting on progress as of Aug 2014
AppLCC - Goal 2 by Jean Brennan, last updated: Feb 20, 2015 10:58 AM
Goal 2 update reporting on progress as of Aug 2014
AppLCC - Goal 1 by Jean Brennan, last updated: Feb 20, 2015 10:58 AM
Goal 1 update reporting on progress as of Aug 2014
SIAS 2.0 - Instructions (word) by Jean Brennan, last updated: Feb 20, 2015 10:56 AM
SIAS 2.0 - Instructions (word)
SIAS 2.0 - xls Blank by Jean Brennan, last updated: Feb 20, 2015 10:56 AM
This is the most recent (and proposed for FY14 reporting) xls template that all LCCs will use in FY14 reporting. It will be discussed in the Oct 2014 National Coordinator's training session at NCTC.