Climate change effects on red spruce decline mitigated by reduction in air pollution within its shrinking habitat range
Kyung Ah Koo,
Bernard C. Patten,
Robert O. Teskey and
Irena F. Creed
Ecological Modelling, 2014, vol. 293, issue C, 81-90
Abstract:
We investigated the potential effects of projected climate change on red spruce (Picea rubens Sarg.) growth in the Great Smoky Mountains of Southeastern USA. A model called Annual Radial Increment Model (ARIM) was used to capture ecosystem complexity manifested as direct and indirect effects in multifactorial within- and across-scale interactions. The model was run under different scenarios, including projected climate change under reduced, no change, and increased atmospheric pollution. Modeled red spruce growth at end of 21st century (2080–2099) was compared to modeled growth at end of the 20th century (1980–1999). Red spruce growth at high elevations (≥1700m) declined by 10.8% when climate change interacted with a 10% increase in air pollution, but red spruce growth increased by 8.4% when air pollution decreased by 10%. In contrast, red spruce growth at low elevations (<1700m) declined by 11.2% with a 10% increase in air pollution, 8.9% with no change, and 6.4% with a 10% decrease in air pollution. Our results suggest that red spruce populations at high-elevation may grow more rapidly under climate change if air pollution decreases, but populations at low-elevation may decline irrespective of air pollution changes as habitats shrink.
Keywords: Climate change; Air pollution; Forest decline; Red spruce; Great Smoky Mountains (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380014003536
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:293:y:2014:i:c:p:81-90
DOI: 10.1016/j.ecolmodel.2014.07.017
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().