التفاصيل البيبلوغرافية
| العنوان: |
Projection of red spruce (Picea rubens Sargent) habitat suitability and distribution in the Southern Appalachian Mountains, USA. |
| المؤلفون: |
Koo, Kyung Ah1 kyungah.koo@gmail.com, Madden, Marguerite2, Patten, Bernard C.3 |
| المصدر: |
Ecological Modelling. Dec2014, Vol. 293, p91-101. 11p. |
| مصطلحات موضوعية: |
*RED spruce decline, *SPECIES distribution, *TREE growth, *ECOLOGY simulation methods, *HABITAT suitability index models, *TREES & climate, *EFFECT of air pollution on trees |
| مصطلحات جغرافية: |
GREAT Smoky Mountains National Park (N.C. & Tenn.) |
| مستخلص: |
Red spruce (Picea rubens Sargent) has exhibited widespread growth decline and high mortality for the last half century in the eastern United States. Good prediction of this species’ distribution in relation to environmental conditions is critical for effective management. This study projects red spruce distribution in response to multiple causal mechanisms in the Great Smoky Mountains National Park (GSMNP) of the Southern Appalachian Mountains by coupling a temporal simulation model of tree growth (ARIM.SIM) to a species distribution model (ARIM.HAB). ARIM.HAB computed habitat suitability, estimated from ARIM.SIM-generated red spruce growth, for every spatial 30 m grid cell in GSMNP. ARIM.SIM showed that different factors were responsible for habitat suitability and growth at higher vs. lower elevations. The air pollution variables (acid rain and cloud immersion frequency) caused low habitat suitability at higher elevations (1800–2028 m). Reduced air pollution but greater stress from climatic variables (high temperatures, reduced precipitation) caused medium suitability at lower elevations (1400–1600 m). And less stress from air pollution and climate variables combined with ample water to produce highest suitability at intermediate elevations (1600–1800 m). The projected range was verified with an existing geospatial database for red spruce and showed excellent correspondence with present-day distribution (AUC = 0.99, kappa = 0.87 and TSS = 0.88). This research shows that species distribution models coupled with a process-based temporal simulation models can improve the precision and accuracy of, respectively, habitat suitability and range projections for species at local scales. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |
