Lindsey Suzanne Smart is a PhD candidate in forestry and environmental resources at NC State University with expertise in spatial analysis, environmental statistics, and natural resource management. She has over 5 years of professional experience managing projects, performing spatial and statistical analyses, and developing sampling designs and data collection protocols for organizations including NatureServe, the Albemarle-Pamlico National Estuary Partnership, and The Nature Conservancy. She is proficient in R and GIS software and has authored a publication and presented at several conferences.
This resume gives an overview of my work experience and skills. I have done a diversity of things and used a diverse skill set while working in ecosystem science. Many of the skills I have learned and used are easily transferred into other disciplines.
Ecological gradient analyses of plant associations in the thandiani forests o...Shujaul Mulk Khan
Abstract: In the summers of 2012 and 2013, vegetation of Thandiani in the Western Himalayas of Pakistan was surveyed and quantified. We took evidence from relationships between 252 species and 11 measured environmental factors as well as changes in the associations’ structure among 50 analysed stations with 1500 m2 plots. We analysed how the plant associations differ and develop under the influence of their respective ecological gradients. Preliminary results showed that the family Pinaceae was the most abundant family with a
family importance value (FIV) of 1892.4, followed by Rosaceae with FIV = 1478.2. Rosaceae, represented by 20 species, was the most dominant family, followed by Asteraceae and Ranunculaceae with 14 and 12 species each, respectively. Analyses via CANOCO software version 4.5 and GEO database demonstrated strong correlations among species distributions and environmental variables, i.e. elevation, topography, and edaphic factors. Our findings show an increase in species diversity and richness from lower elevation (1290 m at sea level (m asl) to higher elevation (2626 m asl). It is evident that aspect, elevation, and soil factors were the decisive variables affecting qualitative and quantitative attributes of vegetation in the study area. The P value ≤ 0.002 confirms a significant impact of abiotic factors that bring variation in vegetation. A 3D view of the study area was generated in ArcScene showing all the five plant associations. Graphs of scatter plot, point profile, and 3D line profile were added to the layout of plant association maps. The habitats of the five association types overlapped broadly but still retained their specific individuality. The execution of GIS framework gave spatial modelling, which ultimately helped in the recognition of indicator species of specific habitat or association type. These findings could further be utilised
in devising the forest policy and conservation management. This study also opens new doors of research in the field of biogeography, systematics, and wildlife.
Objectives
Characterize the soil microbial community across different management practices and measure the corresponding greenhouse gas fluxes.
Determine the adaptation and acclimation of the soil microbial community climate change.
Improve a soil greenhouse gas emission model to predict greenhouse gas emissions under global change scenarios.
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 4Gianpaolo Coro
An e-Infrastructure is a distributed network of service nodes, residing on multiple sites and managed by one or more organizations. e-Infrastructures allow scientists residing at distant places to collaborate. They offer a multiplicity of facilities as-a-service, supporting data sharing and usage at different levels of abstraction, e.g. data transfer, data harmonization, data processing workflows etc. e-Infrastructures are gaining an important place in the field of biodiversity conservation. Their computational capabilities help scientists to reuse models, obtain results in shorter time and share these results with other colleagues. They are also used to access several and heterogeneous biodiversity catalogues.
In this course, the D4Science e-Infrastructure will be used to conduct experiments in the field of biodiversity conservation. D4Science hosts models and contributions by several international organizations involved in the biodiversity conservation field. The course will give students an overview of the models, the practices and the methods that large international organizations like FAO and UNESCO apply by means of D4Science. At the same time, the course will introduce students to the basic concepts under e-Infrastructures, Virtual Research Environments, data sharing and experiments reproducibility.
A Review on the Application of Natural Computing in Environmental InformaticsAndreas Kamilaris
Natural computing offers new opportunities to understand, model and analyze the complexity of the physical and human-created environment. This presentation examines the application of natural computing in environmental informatics, by investigating related work in this research field. Various nature-inspired techniques are presented, which have been employed to solve different relevant problems. Advantages and disadvantages of these techniques are discussed, together with analysis of how natural computing is generally used in environmental research.
Presented at EnviroInfo 2018 at Munich, Germany (September 2018)
Wildlife ecologist resume (Deanna K. Rhoades)DeannaRhoades
I am a passionate ecologist with a bachelor’s in Ecology and Evolution from the University of California, Santa Cruz. I am an avid scholar of nature’s patterns and idiosyncrasies, and I am seeking to further my research experience with responsibilities in the field, lab, and office. I fell in love with Oregon’s ecology while visiting over the years and have yearned to study there; I am now taking the leap to move there for my career and passion.
Through my assortment of positions, I have trained and supervised teams of interns and employees, served as a liaison to outside organizations and the public, and coordinated with teams of colleagues. I have also worked with a variety of flora and fauna species via site surveys and live trapping, including bird/nest surveys and small mammal trapping. I have a diverse skillset in the management and analysis of data— e.g. using ArcGIS and Excel—as well as the writing of work reports, grant proposals, and scientific papers.
I am eager to build upon my experience and skills, to contribute to your organization with my drive to improve all that I work on, and to further my goals of an eventual PhD and career in wildlife conservation.
A presentation on the AusPlots program detailing it's aims and objectives, what and how data is collected, how it is delivered along with information on collaborations, data use, analysis and future opportunities
Al llarg dels anys, la literatura del desenvolupament i la competitivitat regional ha elaborat els marcs conceptuals que han acompanyat les polítiques. En aquest camí és en el que es troba actualment Europa, amb el repte d’abordar estratègies d’especialització intel·ligent. El concepte ha tingut una difusió molt ràpida, però la implementació està trobant dificultats. Aquest document presenta, en primer lloc, un diagnòstic de quins són els problemes que es troben en el procés d’implementació d’aquestes estratègies al País Basc. Tot seguit, es plantegen alguns aprenentatges, entre els quals destaquen la necessitat d’abordar de manera explícita els debats ideològics subjacents a aquests processos i el paper que la universitat i, més concretament, la investigació, poden jugar per emprendre els reptes de la implementació de les estratègies territorials.
This resume gives an overview of my work experience and skills. I have done a diversity of things and used a diverse skill set while working in ecosystem science. Many of the skills I have learned and used are easily transferred into other disciplines.
Ecological gradient analyses of plant associations in the thandiani forests o...Shujaul Mulk Khan
Abstract: In the summers of 2012 and 2013, vegetation of Thandiani in the Western Himalayas of Pakistan was surveyed and quantified. We took evidence from relationships between 252 species and 11 measured environmental factors as well as changes in the associations’ structure among 50 analysed stations with 1500 m2 plots. We analysed how the plant associations differ and develop under the influence of their respective ecological gradients. Preliminary results showed that the family Pinaceae was the most abundant family with a
family importance value (FIV) of 1892.4, followed by Rosaceae with FIV = 1478.2. Rosaceae, represented by 20 species, was the most dominant family, followed by Asteraceae and Ranunculaceae with 14 and 12 species each, respectively. Analyses via CANOCO software version 4.5 and GEO database demonstrated strong correlations among species distributions and environmental variables, i.e. elevation, topography, and edaphic factors. Our findings show an increase in species diversity and richness from lower elevation (1290 m at sea level (m asl) to higher elevation (2626 m asl). It is evident that aspect, elevation, and soil factors were the decisive variables affecting qualitative and quantitative attributes of vegetation in the study area. The P value ≤ 0.002 confirms a significant impact of abiotic factors that bring variation in vegetation. A 3D view of the study area was generated in ArcScene showing all the five plant associations. Graphs of scatter plot, point profile, and 3D line profile were added to the layout of plant association maps. The habitats of the five association types overlapped broadly but still retained their specific individuality. The execution of GIS framework gave spatial modelling, which ultimately helped in the recognition of indicator species of specific habitat or association type. These findings could further be utilised
in devising the forest policy and conservation management. This study also opens new doors of research in the field of biogeography, systematics, and wildlife.
Objectives
Characterize the soil microbial community across different management practices and measure the corresponding greenhouse gas fluxes.
Determine the adaptation and acclimation of the soil microbial community climate change.
Improve a soil greenhouse gas emission model to predict greenhouse gas emissions under global change scenarios.
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 4Gianpaolo Coro
An e-Infrastructure is a distributed network of service nodes, residing on multiple sites and managed by one or more organizations. e-Infrastructures allow scientists residing at distant places to collaborate. They offer a multiplicity of facilities as-a-service, supporting data sharing and usage at different levels of abstraction, e.g. data transfer, data harmonization, data processing workflows etc. e-Infrastructures are gaining an important place in the field of biodiversity conservation. Their computational capabilities help scientists to reuse models, obtain results in shorter time and share these results with other colleagues. They are also used to access several and heterogeneous biodiversity catalogues.
In this course, the D4Science e-Infrastructure will be used to conduct experiments in the field of biodiversity conservation. D4Science hosts models and contributions by several international organizations involved in the biodiversity conservation field. The course will give students an overview of the models, the practices and the methods that large international organizations like FAO and UNESCO apply by means of D4Science. At the same time, the course will introduce students to the basic concepts under e-Infrastructures, Virtual Research Environments, data sharing and experiments reproducibility.
A Review on the Application of Natural Computing in Environmental InformaticsAndreas Kamilaris
Natural computing offers new opportunities to understand, model and analyze the complexity of the physical and human-created environment. This presentation examines the application of natural computing in environmental informatics, by investigating related work in this research field. Various nature-inspired techniques are presented, which have been employed to solve different relevant problems. Advantages and disadvantages of these techniques are discussed, together with analysis of how natural computing is generally used in environmental research.
Presented at EnviroInfo 2018 at Munich, Germany (September 2018)
Wildlife ecologist resume (Deanna K. Rhoades)DeannaRhoades
I am a passionate ecologist with a bachelor’s in Ecology and Evolution from the University of California, Santa Cruz. I am an avid scholar of nature’s patterns and idiosyncrasies, and I am seeking to further my research experience with responsibilities in the field, lab, and office. I fell in love with Oregon’s ecology while visiting over the years and have yearned to study there; I am now taking the leap to move there for my career and passion.
Through my assortment of positions, I have trained and supervised teams of interns and employees, served as a liaison to outside organizations and the public, and coordinated with teams of colleagues. I have also worked with a variety of flora and fauna species via site surveys and live trapping, including bird/nest surveys and small mammal trapping. I have a diverse skillset in the management and analysis of data— e.g. using ArcGIS and Excel—as well as the writing of work reports, grant proposals, and scientific papers.
I am eager to build upon my experience and skills, to contribute to your organization with my drive to improve all that I work on, and to further my goals of an eventual PhD and career in wildlife conservation.
A presentation on the AusPlots program detailing it's aims and objectives, what and how data is collected, how it is delivered along with information on collaborations, data use, analysis and future opportunities
Al llarg dels anys, la literatura del desenvolupament i la competitivitat regional ha elaborat els marcs conceptuals que han acompanyat les polítiques. En aquest camí és en el que es troba actualment Europa, amb el repte d’abordar estratègies d’especialització intel·ligent. El concepte ha tingut una difusió molt ràpida, però la implementació està trobant dificultats. Aquest document presenta, en primer lloc, un diagnòstic de quins són els problemes que es troben en el procés d’implementació d’aquestes estratègies al País Basc. Tot seguit, es plantegen alguns aprenentatges, entre els quals destaquen la necessitat d’abordar de manera explícita els debats ideològics subjacents a aquests processos i el paper que la universitat i, més concretament, la investigació, poden jugar per emprendre els reptes de la implementació de les estratègies territorials.
Partially Based from the "Awareness of Light" of Shoko Matsumoto.
What is Lighting Design for Technical Theater? What are the common tools that we should remember for a lighting set-up? After learning these, we cover how we can do effective Lighting Design from scratch, or simply a pen and paper!
This is an overview of my MS in Sustainability thesis project. It is a baseline structural investigation of connectivity within the exurban construct using Delaware, Ohio as a case study. Delaware was chosen because it exhibits exurban characteristics with landscape typologies that span the urban to rural continuum and because the area is under intense development pressure from the large urban area of Columbus, Ohio 10 miles to the south.
Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...INFOGAIN PUBLICATION
Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.
Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...INFOGAIN PUBLICATION
Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.
Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...INFOGAIN PUBLICATION
Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.
1. Smart 1
LINDSEY SUZANNE SMART
lssmart@ncsu.edu
(585) 704-1699
CAREER INTERESTS
Spatial analysis and environmental statistics for conservation and integrated ecosystem management; environmental
planning and consulting; forest/wetlands management and restoration; natural resource management.
KNOWLEDGE & SKILLS
Proficient in the statistical software environment R, and supporting libraries and packages.
Comprehensive knowledge of statistical concepts, techniques, and data management methodologies, particularly as
they relate to environmental and spatial statistics. Experienced in managing, processing, and analyzing data from
centralized database systems, specifically databases developed by EPA, NPS, USFS, and DoD.
Experienced in sampling design development, data collection protocol writing, and data analyses for long term
monitoring projects. Proficient in Microsoft Office Suite, ArcGIS 9- ArcGIS 10 & ERDAS Imagine.
Familiar with ArcGIS Online, ArcGIS Viewer for Flex, Flex API, Portfolio, MaxEnt, NatureServe Vista, MARXAN, FragStats,
FlamMap, FUSION, RULE, & ArcScene.
EDUCATION
PHD FORESTRY AND ENVIRONMENTAL RESOURCES In Progress
College of Natural Resources
North Carolina State University, Raleigh, NC
MASTER OF ENVIRONMENTAL MANAGEMENT May 2009
Nicholas School of the Environment
Duke University, Durham, NC
Concentration: Ecosystem science and conservation with a concentration in integrated studies of ecosystem
management and restoration, using GIS as a tool.
Coursework: Environmental Statistics; spatial analysis; Conservation GIS; remote sensing; landscape ecology;
wetland ecology and restoration; land use planning; environmental law.
Honors: Nicholas School of the Environment Merit Scholarship.
Master’s project: Development and analysis of LiDAR-derived forest metrics as indicators of spatial
heterogeneity and habitat suitability for the improved management of an endangered species in the coastal
plain of North Carolina.
CERTIFICATE IN GEOSPATIAL ANALYSIS May 2009
Nicholas School of the Environment
Duke University, Durham, NC
BACHELOR OF ARTS cum laude May 2007
Bucknell University, Lewisburg, PA
Major: Biology. Minor: Anthropology. Cumulative GPA: 3.59 of 4.0
Activities: Associate member of Phi Sigma Xi Scientific Research Society, Environmental Residential College,
Head Start mentor, Bucknell Dance Company.
Summer study: Marine mammal ecology, Duke Marine Laboratory, 2006.
2. Smart 2
PUBLICATIONS___________________________________________________________________________________________
L.S. Smart, J.J. Swenson, N.L. Christensen, J.O. Sexton, Three-dimensional characterization of pine forest type and red-
cockaded woodpecker habitat by small-footprint, discrete-return lidar, Forest Ecology and Management, Volume 281, 1
October 2012, Pages 100-110, ISSN 0378-1127, 10.1016/j.foreco.2012.06.020.
(http://www.sciencedirect.com/science/article/pii/S0378112712003490)
CONFERENCE PRESENTATIONS AT NATIONAL AND INTERNATIONAL SYMPOSIA__________________________________
Smart, L.S., Smith, J. W., & Meentemeyer, R. K. (2015). An agent-based modeling framework for water resource
governance: A tool to assess resilience and adaptive capacity in the coastal plain of North Carolina. Paper presented at the
International Symposium on Sustainable Resource Management (ISSRM), Charleston, South Carolina.
Smith, J. W., Meentemeyer, R. K., Sanchez, G. M., & Smart, L. S. (2015, April). Methodological and analytical frontiers for
agent-based models of spatially dynamic landscape-scale processes. Paper presented at the 2015 Association of American
Geographers’ Annual Meeting, Chicago, Illinois.
COMPETITIVE GRANTS/AWARDS________________________________________________________________________
2014 – 2015 NC State Provost Doctoral Recruitment Fellowship. Amount: $21,000
PROFESSIONAL EXPERIENCE
Project Manager, Albemarle-Pamlico National Estuary Partnership, NC DENR 2013-2014
Manage program grants and contracts; maintain a GIS repository and perform spatial analyses pertaining to the region.
Managed EPA Section 320 funds granted to the Albemarle-Pamlico National Estuary Partnership (~500k annually)
Wrote grant proposals, prepared technical reports, assigned budgets and timelines, and ensured timely contract
execution and appropriate deliverables.
Facilitated stakeholder and advisory committee meetings at least quarterly.
Conducted conservation prioritization effort, using Marxan, for selection of N.C. Division of Marine
Fisheries’ “strategic habitat areas”.
Developed online interactive map (ArcGIS Online, Flex API) for the Albemarle-Pamlico region to
assist resource-deficient organizations with prioritizing conservation and restoration efforts.
Built a project tracking database (Microsoft Access) to better assess program success and improve program
accountability.
Subcontractor, Woolpert, Inc. Dayton, OH Spring 2014
Performing multivariate spatial analysis to assess longleaf pine condition as part of Eglin Air Force Base’s long-
term monitoring program.
Performed multivariate analysis to assess changes in longleaf pine condition over time.
Utilized ensemble modeling to forecast changes in longleaf pine community condition resulting from various
management regimes.
Subcontractor, The Nature Conservancy, Atlanta, GA Summer 2013
Performed multivariate spatial analysis to assess longleaf pine condition as part of Eglin Air Force Base’s long-term
monitoring program.
Performed multivariate analysis to assess changes in longleaf pine condition over time.
Compared different modeling techniques and their success at forecasting changes in condition over time.
Assessed lidar’s potential for use in analysis within pilot study area on Eglin Air Force Base.
Researched the potential for use of ensemble modeling as a potential future forecasting modeling method.
3. Smart 3
GIS Analyst/Regional Vegetation Ecologist, NatureServe, Durham, NC 2009 –2013
Worked on a variety of regional and national projects using spatial and statistical analyses.
Performed statistical screening of metrics, attributes, and indices of ecological integrity for EPA’s Region
5 Wetlands Ecological Integrity Assessments.
Generated overall sampling design, field material preparation, data analysis, and report writing for NPS
vegetation map accuracy assessments in the Cumberland Piedmont Network and the National Capital
Region.
Developed sampling design and site selection process for an NPS long term monitoring project in the
Cumberland Piedmont Network. Analyzed data and conducted power analysis for first phase of data
collection.
Performed predictive habitat/species distribution modeling using Maximum Entropy methods for NCASI
and BLM. For the NCASI project, also developed a sampling method to test the performance of the
models via ground-truthing efforts.
Assisted in data collection efforts in the field, including GPS collection and woody species identification.
Assisted with a spatially explicit national assessment of “gap” species and ecosystems for the National Fish
and Wildlife Foundation to help with prioritizing their conservation efforts.
Managed national raster datasets of land cover, impervious surface, climate change data and more for a
U.S. Army Corps of Engineers project.
Developed a conservation prioritization of species at risk in the Carolinas for the USFWS.
Assisted with NatureServe Vista application along the GA coast.
Generated sensitivity indices for natural communities as part of a BLM project, using NatureServe’s CCVI.
Developed a spatially explicit web-based field guide of Rock Creek Park for the National Park
Service in Washington D.C.
Part-Time Consultant, Enduring Conservation Outcomes, Savannah, GA Fall 2012
Developed a conservation plan for St. Catherine’s Island in Georgia.
Developed conceptual ecological models for the natural communities on the island.
Assessed and documented potential threats to the ecological communities on the island.
Part-Time Consultant, Enduring Conservation Outcomes, Savannah, GA Spring – Summer 2011
Data entry for a Multiple Species Habitat Conservation Plan Species Status Database.
Extensive use of Microsoft Excel and Microsoft Access for data entry of species information for a
multi- jurisdictional conservation database.
Developing a user’s manual for the database to ensure that data can be efficiently and intuitively managed.
Landscape Ecology Laboratory GIS Research Assistant, Duke University Spring 2009
Analyzed remotely-sensed imagery to model impervious surfaces through time in the RTP/Durham area of NC.
Results aided in the examination of impervious surface impacts on the surrounding watersheds and their
water quality.
GIS Fundamentals Teaching Associate, Duke University Fall 2009
Provided technical assistance and support to a graduate level class of over 90 students in Geospatial
Information Systems.
Taught critical GIS topics including: creating and validating topology, digitizing, constructing
4. Smart 4
geodatabases, remote sensing and classification, and accuracy assessment.
Data Entry/GIS Research Assistant, Department of Biology, Duke University 2007-2009
Performed extensive data entry and QA/QC for a long-term research database (Amboseli Baboon Project).
Principle investigator for analysis of multi-spectral imagery and derivation of vegetation indices to assess
phenological changes in and around a Kenyan reserve in relation to elephant crop raiding.
Conservation Intern, North Carolina Coastal Land Trust, Wilmington, NC Summer 2008
Responsible for ecosystem management planning and development and stewardship activities for preserves and
easements in coastal North Carolina.
Prepared forest/preserve management plan for a significant nature preserve abutting USMB Camp Lejeune. Set
precedent for the first cooperative proposal with Lejeune.
Performed extensive field work, gained in-depth knowledge of monitoring and stewardship activities, and
conducted biological inventories.
Collected GPS data/ surveys for mapping of significant natural heritage areas.
Environmental Statistics Teaching Assistant, Duke University Fall 2008
Teaching assistant for a graduate level course in introductory environmental statistics, with a strong emphasis
on teaching students how to use the statistical program R.
Extensive use of statistical software program R and R Commander.