Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Yvette L. Dickinson is active.

Publication


Featured researches published by Yvette L. Dickinson.


International Journal of Wildland Fire | 2016

Spatial variability of surface fuels in treated and untreated ponderosa pine forests of the southern Rocky Mountains

Emma Vakili; Chad M. Hoffman; Robert E. Keane; Wade T. Tinkham; Yvette L. Dickinson

There is growing consensus that spatial variability in fuel loading at scales down to 0.5 m may govern fire behaviour and effects. However, there remains a lack of understanding of how fuels vary through space in wildland settings. This study quantifies surface fuel loading and its spatial variability in ponderosa pine sites before and after fuels treatment in the southern Rocky Mountains, USA. We found that spatial semivariance for 1- and 100-h fuels, litter and duff following thin-and-burn treatments differed from untreated sites, and was lower than thin-only sites for all fuel components except 1000-h fuels. Fuel component semivariance increased with mean fuel component loading. The scale of spatial autocorrelation for all fuel components and sites ranged from <1 to 48 m, with the shortest distances occurring for the finest fuel components (i.e. duff, litter). Component mean fuel particle diameter strongly predicted (R2 = 0.88) the distance needed to achieve sample independence. Additional work should test if these scaling relationships hold true across forested ecosystems, and could reveal fundamental processes controlling surface fuel variability. Incorporating knowledge of spatial variability into fuel sampling protocols will enhance assessment of wildlife habitat, and fire behaviour and effects modelling, over singular stand-level means.


Journal of Sustainable Forestry | 2017

An evaluation of tree marking methods for implementing spatially heterogeneous restoration

Yvette L. Dickinson; Jeffrey D. Cadry

ABSTRACT Silviculturists are increasingly focused on the development of structurally complex forests through spatially heterogeneous treatments; however, the implementation of these treatments is challenging. We investigated the effectiveness of three tree marking methods used to implement spatially heterogeneous restoration treatments on Colorado’s Front Range: Individual Tree Marking (ITM) physically marks all trees that are either to be cut or left; Designation by Description (DxD) provides a description of the trees that are to be removed based on specific tree characteristics; and Designation by Prescription (DxP) provides the operator with a description of the desired outcomes of the treatment. We employed a mixed methods approach by (a) quantitatively comparing the heterogeneity of stands that have been treated; and (b) interviewing personnel involved in the implementation of these treatments to qualitatively evaluate their efficiency and effectiveness. Neither the quantitative nor the qualitative study methods found a single marking method that was superior to the others in all respects. However, several factors should be considered when selecting a tree marking method, including: the need to set clearly defined silvicultural objectives; personnel experience; trade-offs among personnel; the use of hybrid marking methods; and the range of acceptable outcomes.


Forest Ecology and Management | 2014

Landscape restoration of a forest with a historically mixed-severity fire regime: What was the historical landscape pattern of forest and openings?

Yvette L. Dickinson


Forest Ecology and Management | 2018

Promoting and maintaining diversity in contemporary hardwood forests: Confronting contemporary drivers of change and the loss of ecological memory

Christopher R. Webster; Yvette L. Dickinson; Julia I. Burton; Lee E. Frelich; Michael A. Jenkins; Christel C. Kern; Patricia Raymond; Michael R. Saunders; Michael B. Walters; John L. Willis


Restoration Ecology | 2016

Have we been successful? Monitoring horizontal forest complexity for forest restoration projects

Yvette L. Dickinson; Kristen Pelz; Emma Giles; Josh Howie


Annals of Forest Science | 2013

Recovery of forest structure and composition to harvesting in different strata of mixed even-aged central Appalachian hardwoods

Eric K. Zenner; Yvette L. Dickinson; JeriLynn E. Peck


Canadian Journal of Forest Research | 2014

Examining the effect of diverse management strategies on landscape scale patterns of forest structure in Pennsylvania using novel remote sensing techniques.

Yvette L. Dickinson; Eric K. Zenner; Douglas Miller


Forest Ecology and Management | 2018

Shifting conceptions of complexity in forest management and silviculture

Robert T. Fahey; Brandon C. Alveshere; Julia I. Burton; Anthony W. D'Amato; Yvette L. Dickinson; William S. Keeton; Christel C. Kern; Andrew J. Larson; Brian J. Palik; Klaus J. Puettmann; Michael R. Saunders; Christopher R. Webster; Jeff W. Atkins; Christopher M. Gough; Brady S. Hardiman


Northern Journal of Applied Forestry | 2010

Allometric equations for the aboveground biomass of selected common eastern hardwood understory species.

Yvette L. Dickinson; Eric K. Zenner


Archive | 2014

Desirable forest structures for a restored Front Range

Yvette L. Dickinson; Rob Addington; Greg Aplet; Mike Babler; Mike A. Battaglia; Peter M. Brown; Tony Cheng; Casey Cooley; Dick Edwards; Jonas Feinstein; Paula J. Fornwalt; Hal Gibbs; Megan Matonis; Kristen Pelz; Claudia Regan

Collaboration


Dive into the Yvette L. Dickinson's collaboration.

Top Co-Authors

Avatar

Christel C. Kern

United States Forest Service

View shared research outputs
Top Co-Authors

Avatar

Christopher R. Webster

Michigan Technological University

View shared research outputs
Top Co-Authors

Avatar

Eric K. Zenner

Pennsylvania State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Kristen Pelz

Colorado State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Alejandro A. Royo

United States Forest Service

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge