1996
DOI: 10.1016/0304-3800(96)83709-4
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Model-based assessments of climate change effects on forests: a critical review

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Cited by 284 publications
(251 citation statements)
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“…Furthermore, regular forest management, such as artificially supported natural regeneration, can artificially maintain a species and suspend range shifts, thereby further contributing to any time lag in range retractions [64]. Additionally, suppression of wildfires can speed or slow range shifts by allowing stand density to increase across the range of many fire-prone species, but also increasing the risk that catastrophic wildfires will occur in particularly hot and/or dry years [22,70,71].…”
Section: Anthropogenic Alteration Of Range Limitsmentioning
confidence: 99%
“…Furthermore, regular forest management, such as artificially supported natural regeneration, can artificially maintain a species and suspend range shifts, thereby further contributing to any time lag in range retractions [64]. Additionally, suppression of wildfires can speed or slow range shifts by allowing stand density to increase across the range of many fire-prone species, but also increasing the risk that catastrophic wildfires will occur in particularly hot and/or dry years [22,70,71].…”
Section: Anthropogenic Alteration Of Range Limitsmentioning
confidence: 99%
“…Forest pests will also move northward with the shift in forest location due to warmer temperatures. The indirect effects of climate change on forests, mediated by alterations of disturbance regimes or the actions of pests and pathogens, may accelerate climate-induced change in forests (Loehle and LeBlanc 1996).…”
Section: Ecosystemsmentioning
confidence: 99%
“…In general, models that predict future biogeographic distributions are lacking good data on population dynamics over time (Kearney and Porter 2009). Empirical data on stand structure can be used to calibrate distribution models (Loehle and LeBlanc 1996), and when combined with historical data, they have the potential to reveal important responses to disturbances and global change factors not properly accounted for by models.…”
Section: Introductionmentioning
confidence: 99%