Works Published in 2019
Displaying works 61 - 80 of 270 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2019 conference paper
State-Wide Citizen Science Mammal Survey As Science, Conservation, and Public Engagement: North Carolina’s Candid Critters
Presented at the American Fisheries Society & The Wildlife Society Joint Annual Conference, Reno, Nevada.
Event: American Fisheries Society & The Wildlife Society Joint Annual Conference at Reno, Nevada on October 1, 2019
Source: NC State University Libraries
Added: December 4, 2020
2019 conference paper
Metals Contamination of Otters in North Carolina
Presented at the American Fisheries Society & The Wildlife Society Joint Annual Conference, Reno, Nevada.
Event: American Fisheries Society & The Wildlife Society Joint Annual Conference at Reno, Nevada on October 1, 2019
Source: NC State University Libraries
Added: December 4, 2020
2019 conference paper
Measuring the Value of Public Hunting Land Using a Hedonic Approach
Presented at the American Fisheries Society & The Wildlife Society Joint Annual Conference, Reno, Nevada.
Event: American Fisheries Society & The Wildlife Society Joint Annual Conference at Reno, Nevada on October 3, 2019
Source: NC State University Libraries
Added: December 4, 2020
2019 report
Global forensic geolocation with deep neural networks
(ArXiv Preprint No. 1905.11765). https://arxiv.org/abs/1905.11765
Source: NC State University Libraries
Added: December 4, 2020
2019 report
Note on Thompson sampling for large decision problems
In ArXiv (ArXiv Preprint No. 1905.04735). https://arxiv.org/abs/1905.04735
Source: NC State University Libraries
Added: December 4, 2020
2019 chapter
Dissolved, Colloidal, and Particulate Organic Matter in the Gulf of Mexico
In T. S. Bianchi (Ed.), Gulf of Mexico Origin, Waters, and Biota, Volume 5, Chemical Oceanography. College Station, Texas: Texas A&M University Press.
Ed(s): T. Bianchi
Source: NC State University Libraries
Added: November 26, 2020
2019 report
Geotechnical Engineering Reconnaissance of the 30 November 2018 M7.0 Anchorage, Alaska Earthquake
[GEER report Version 2.].
Sources: Crossref, NC State University Libraries
Added: November 24, 2020
2019 journal article
Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States
Journal of Forestry, 117(6), 560–578.
author keywords: plantation forest; land-use change; spatial econometrics; forest management
TL;DR:
This study estimates a spatially explicit logistical regression function to assess the likelihood that forest plots will be planted based on physical, climate, and economic factors and offers insight into the factors that have driven forest planting in the United States historically and the potential distribution of new forest plantings in the coming decades.
(via Semantic Scholar)
academic.oup.com (publisher PDF)
Sources: Crossref, NC State University Libraries
Added: November 24, 2020
2019 journal article
The Influence of Parametric Uncertainty on Projections of Forest Land Use, Carbon, and Markets
Journal of Forest Economics, 34(1-2), 129–158.
TL;DR:
Assessment of the role of uncertainty in yield function and land supply elasticity parameters on land use, carbon, and market outcomes in a long-term dynamic model of the global forest sector suggests that understanding growth parameters in regions with large current carbon stocks is most important for making future projections of carbon storage.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land
(OpenAlex)
Sources: Crossref, NC State University Libraries
Added: November 24, 2020
2019 journal article
Potential complementarity between forest carbon sequestration incentives and biomass energy expansion
Energy Policy, 126, 391–401.
author keywords: Bioenergy expansion; Forestry; Carbon sequestration
TL;DR:
The results show that forest bioenergy expansion can complement carbon sequestration policies in the near- and medium-term, reducing marginal abatement costs and increasing mitigation potential, but by the end of the century these policies become substitutes.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(OpenAlex)
Sources: Crossref, NC State University Libraries
Added: November 24, 2020
2019 journal article
Importance of Cross-Sector Interactions When Projecting Forest Carbon across Alternative Socioeconomic Futures
Journal of Forest Economics, 34(3-4), 205–231.
author keywords: Climate change; SSP; Forestry; Agriculture
TL;DR:
A model of an economic model of the agricultural and forestry sectors found that agricultural sector emissions under a high income-growth world with increased livestock-product demand are fully displaced by substantial GHG sequestration from the forest sector with increased forest product demand, highlighting the potential limitations of single-sector modeling approaches that ignore important interaction effects between sectors.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: November 24, 2020
2019 journal article
Evaluating Potential Sources of Aggregation Bias with a Structural Optimization Model of the U.S. Forest Sector
Journal of Forest Economics, 34(3-4), 337–366.
TL;DR:
This paper explores potential aggregation bias using the Land Use and Resource Allocation model (LURA), a detailed spatial allocation partial equilibrium model of the U.S. forest sector, and finds that age-class and forest type aggregations have the greatest impact on modeling results, with the potential to substantially impact market and greenhouse gas projections.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land
(OpenAlex)
Sources: Crossref, NC State University Libraries
Added: November 24, 2020
2019 journal article
State of the Art Methods to Project Forest Carbon Stocks
Journal of Forest Economics, 34(1-2), 1–5.
UN Sustainable Development Goal Categories
15. Life on Land
(OpenAlex)
Sources: Crossref, NC State University Libraries
Added: November 24, 2020
2019 journal article
Worksite Built Environment and Objectively Measured Physical Activity While at Work: An Analysis Using Perceived and Objective Walkability and Greenness
Journal of Environmental Health, 81(7), 20–26. http://www.scopus.com/inward/record.url?eid=2-s2.0-85062230626&partnerID=MN8TOARS
Contributors: O. Marquet & A. Hipp
Sources: NC State University Libraries, ORCID
Added: October 30, 2020
2019 journal article
How to improve physical activity and health for all children and families
Stanford Social Innovation Review.
Source: NC State University Libraries
Added: October 30, 2020
2019 conference paper
Exploring developers’ understanding of health strategies in multifamily development
Proceedings from the 2019 Architectural Research Centers Consortium Conference Repository: The Future of Praxis: Applied Research as a Bridge Between Theory and Practice. https://www.arcc-repository.org/index.php/repository/article/view/634
Event:
Source: NC State University Libraries
Added: October 30, 2020
2019 journal article
Project Categories to Guide Institutional Oversight of Responsible Conduct of Scientists Leading Citizen Science in the United States
Citizen Science: Theory and Practice, 4(1), 7.
Source: ORCID
Added: October 15, 2020
2019 journal article
Citizen Science Ethics
Citizen Science: Theory and Practice, 4(1).
Source: ORCID
Added: October 15, 2020
2019 article
r.sim.terrain: a dynamic landscape evolution model
Harmon, B. A., Mitasova, H., Petrasova, A., & Petras, V. (2019, February). (Vol. 2). Vol. 2.
UN Sustainable Development Goal Categories
15. Life on Land
(OpenAlex)
Source: ORCID
Added: October 12, 2020
2019 article
MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.
author keywords: Continuous shrinkage prior; Factor analysis; Microbiome; Mixed model; Nutrient Network; OTU abundance data
TL;DR:
A novel Bayesian mixed-effects model that exploits cross-taxa correlations within the microbiome, a model the authors call microbiome mixed model (MIMIX), tailored to large microbiome experiments using a combination of Bayesian factor analysis to efficiently represent dependence between taxa and Bayesian variable selection methods to achieve sparsity.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: NC State University Libraries
Added: August 18, 2020
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