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1.
Int J Biometeorol ; 58(7): 1693-7, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-24018848

RESUMEN

Plants in wild and agricultural settings are being affected by the warmer temperatures associated with climate change. Here we examine the degree to which the iconic New England cranberry, Vaccinium macrocarpon, is exhibiting signs of altered flowering phenology. Using contemporary records from commercial cranberry bogs in southeastern Massachusetts in the United States, we found that cranberry plants are responsive to temperature. Flowering is approximately 2 days earlier for each 1 °C increase in May temperature. We also investigated the relationship between cranberry flowering and flight dates of the bog copper, Lycaena epixanthe-a butterfly dependent upon cranberry plants in its larval stage. Cranberry flowering and bog copper emergence were found to be changing disproportionately over time, suggesting a potential ecological mismatch. The pattern of advanced cranberry flowering over time coupled with increased temperature has implications not only for the relationship between cranberry plants and their insect associates but also for agricultural crops in general and for the commercial cranberry industry.


Asunto(s)
Cambio Climático , Flores/crecimiento & desarrollo , Vaccinium macrocarpon/crecimiento & desarrollo , Massachusetts , Estaciones del Año
2.
Int J Biometeorol ; 58(6): 1251-7, 2014 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-23996544

RESUMEN

Leaf out time is a widely used indicator of climate change and represents a critical transition point of annual seasonality in most temperate ecosystems. We compared three sources of data to determine the effect of spring temperature on tree leaf out: field observations, remotely sensed satellite data, and experimental warming. All three methods recorded earlier leaf out with warmer spring temperatures. However, leaf out timing was more than twice as sensitive to temperature in the field study (advancing at a rate of 6.1 days/°C), as under experimental warming (2.1 days/°C), with remote sensing intermediate (3.7 days/°C). Researchers need to be aware of the currently unexplained differences among methodologies when using phenological data to parameterize or benchmark models that represent ecosystem processes. The mechanisms behind these discrepancies must be better understood if we are to confidently predict responses of leaf out timing to future climates.


Asunto(s)
Acer/crecimiento & desarrollo , Betula/crecimiento & desarrollo , Hojas de la Planta/crecimiento & desarrollo , Quercus/crecimiento & desarrollo , Massachusetts , Tecnología de Sensores Remotos , Proyectos de Investigación , Estaciones del Año , Temperatura , Árboles/crecimiento & desarrollo
3.
New Phytol ; 191(4): 926-941, 2011 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-21762163

RESUMEN

Leafing-out of woody plants begins the growing season in temperate forests and is one of the most important drivers of ecosystem processes. There is substantial variation in the timing of leaf-out, both within and among species, but the leaf development of almost all temperate tree and shrub species is highly sensitive to temperature. As a result, leaf-out times of temperate forests are valuable for observing the effects of climate change. Analysis of phenology data from around the world indicates that leaf-out is generally earlier in warmer years than in cooler years and that the onset of leaf-out has advanced in many locations. Changes in the timing of leaf-out will affect carbon sequestration, plant-animal interactions, and other essential ecosystem processes. The development of remote sensing methods has expanded the scope of leaf-out monitoring from the level of an individual plant or forest to an entire region. Meanwhile, historical data have informed modeling and experimental studies addressing questions about leaf-out timing. For most species, onset of leaf-out will continue to advance, although advancement may be slowed for some species because of unmet chilling requirements. More information is needed to reduce the uncertainty in predicting the timing of future spring onset.


Asunto(s)
Ecosistema , Hojas de la Planta/crecimiento & desarrollo , Árboles/crecimiento & desarrollo , Clima , Cambio Climático , Flores/crecimiento & desarrollo , Flores/fisiología , Fotoperiodo , Hojas de la Planta/fisiología , Tecnología de Sensores Remotos , Estaciones del Año , Especificidad de la Especie , Temperatura , Factores de Tiempo , Árboles/fisiología , Madera/crecimiento & desarrollo , Madera/fisiología
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