Works (8)

Updated: July 5th, 2023 15:47

2020 article

Plant biomass, not plant economics traits, determines responses of soil CO2 efflux to precipitation in the C4 grass Panicum virgatum

Heckman, R. W., Khasanova, A. R., Johnson, N. S., Weber, S., Bonnette, J. E., Aspinwall, M. J., … Hawkes, C. V. (2020, March 5). Journal of Ecology.

author keywords: above-ground-below-ground linkages; ecosystem functioning; genotype-by-environment interactions; plant economics spectrum; precipitation variability; switchgrass; trait-based ecology
topics (OpenAlex): Pasture and Agricultural Systems; Soil Carbon and Nitrogen Dynamics; Plant responses to elevated CO2
TL;DR: Estimates of C cycling can be improved by accounting for mediation of precipitation effects on JCO2 by plant economics traits and plant size in resource‐limited environments. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: April 20, 2020

2012 article

Carbon Sequestration from 40 Years of Planting Genetically Improved Loblolly Pine across the Southeast United States

Aspinwall, M. J., McKeand, S. E., & King, J. S. (2012, October 3). Forest Science, Vol. 58, pp. 446–456.

By: M. Aspinwall*, S. McKeand* & J. King*

author keywords: biomass; carbon; climate change; genotype; genetic gain
topics (OpenAlex): Forest Management and Policy; Bioenergy crop production and management; Forest ecology and management
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 article

Productivity differences among loblolly pine genotypes are independent of individual-tree biomass partitioning and growth efficiency

Aspinwall, M. J., King, J. S., & McKeand, S. E. (2012, November 21). Trees, Vol. 27, pp. 533–545.

By: M. Aspinwall n, J. King n & S. McKeand n

author keywords: Allometry; Clone; Growth efficiency; Loblolly pine; Productivity
topics (OpenAlex): Forest ecology and management; Plant Water Relations and Carbon Dynamics; Remote Sensing and LiDAR Applications
TL;DR: The observed variation in biomass partitioning has implications for forest C sequestration as genotypes which partition more biomass to long-lived biomass pools such as stems, may sequester more C and suggest that highly productive genotypes may be planted without compromising belowground C storage. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 article

Genetic effects on stand-level uniformity and above- and belowground dry mass production in juvenile loblolly pine

Aspinwall, M. J., King, J. S., McKeand, S. E., & Bullock, B. P. (2011, May 13). Forest Ecology and Management, Vol. 262, pp. 609–619.

By: M. Aspinwall n, J. King n, S. McKeand n & B. Bullock n

author keywords: Pinus taeda L. clone; Genetic variation; Dry mass production; Stand uniformity
topics (OpenAlex): Forest ecology and management; Plant Water Relations and Carbon Dynamics; Forest Management and Policy
TL;DR: The results demonstrate how the deployment of highly productive loblolly pine genotypes may provide a means of enhancing southern pine ecosystem sustainability by sequestering C in both harvestable aboveground biomass and woody belowground biomass. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 article

Genetic effects on total phenolics, condensed tannins and non-structural carbohydrates in loblolly pine (Pinus taeda L.) needles

Aspinwall, M. J., King, J. S., Booker, F. L., & McKeand, S. E. (2011, August 1). Tree Physiology, Vol. 31, pp. 831–842.

By: M. Aspinwall n, J. King n, F. Booker n & S. McKeand n

author keywords: carbon allocation; clone; condensed tannins; nutrient cycling; phenolics; productivity
MeSH headings : Carbohydrate Metabolism / genetics; Genotype; Phenols / metabolism; Pinus taeda / genetics; Pinus taeda / metabolism; Plant Leaves / metabolism; Proanthocyanidins / metabolism; Tannins / metabolism
topics (OpenAlex): Forest Insect Ecology and Management; Forest ecology and management; Horticultural and Viticultural Research
TL;DR: Deployment of more productive loblolly pine genotypes will not reduce stand resistance to herbivory, but increased production of total phenolics and PA associated with higher genotype growth potential could reduce litter decomposition rates and therefore, nutrient availability. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

Genetic effects on transpiration, canopy conductance, stomatal sensitivity to vapour pressure deficit, and cavitation resistance in loblolly pine

Ecohydrology, 4(2), 168–182.

By: M. Aspinwall n, J. King n, J. Domec n, S. McKeand n & F. Isik n

author keywords: climate change; clone; drought resistance; hydraulic conductivity; water use
topics (OpenAlex): Plant Water Relations and Carbon Dynamics; Tree-ring climate responses; Forest ecology and management
TL;DR: Overall, genetic effects on canopy‐level gas‐exchange and cavitation resistance were significant, implying that physiological differences among genotypes might affect stand water use, carbon gain, drought tolerance, and hydrologic processes. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2011 article

Leaf-level gas-exchange uniformity and photosynthetic capacity among loblolly pine (Pinus taeda L.) genotypes of contrasting inherent genetic variation

Aspinwall, M. J., King, J. S., McKeand, S. E., & Domec, J.-C. (2011, January 1). Tree Physiology, Vol. 31, pp. 78–91.

By: M. Aspinwall n, J. King n, S. McKeand n & J. Domec n

author keywords: gas exchange; genetic variation; photosynthesis; productivity; water use
MeSH headings : Adaptation, Physiological; Biological Transport; Biomass; Carbon / metabolism; Carbon Dioxide / metabolism; Ecosystem; Genetic Variation / genetics; Genetic Variation / physiology; Genotype; Light; Models, Biological; North Carolina; Phenotype; Photosynthesis / physiology; Photosynthesis / radiation effects; Pinus taeda / genetics; Pinus taeda / growth & development; Pinus taeda / physiology; Pinus taeda / radiation effects; Plant Leaves / genetics; Plant Leaves / growth & development; Plant Leaves / physiology; Plant Leaves / radiation effects; Plant Stomata / physiology; Plant Stomata / radiation effects; Plant Transpiration / physiology; Plant Transpiration / radiation effects; Seasons; Seedlings / genetics; Seedlings / growth & development; Seedlings / physiology; Seedlings / radiation effects; Trees / physiology; Water / metabolism
topics (OpenAlex): Plant Water Relations and Carbon Dynamics; Forest ecology and management; Tree-ring climate responses
TL;DR: It is suggested that uniformity in leaf-level physiological rates is not consistently related to the amount of genetic variation within a given genotype, and δ, A(sat) and R(d) were the leaf- level physiological parameters that were most consistentlyrelated to individual-tree and genotype productivity. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

Prediction of whole-stem alpha-cellulose yield, lignin content, and wood density in juvenile and mature loblolly pine

Southern Journal of Applied Forestry, 34(2), 84–90.

By: M. Aspinwall, B. Li, S. McKeand, F. Isik & M. Gumpertz

Source: NC State University Libraries
Added: August 6, 2018

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