Potential effects of climate change on ecosystem and tree species distribution in British Columbia.
By Andreas Hamann, Tongli Wang. Ecology, 2006
624 citations recorded by the source corpus.
Subfields: Atmospheric Science, Ecological Modeling, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/a1e758a3d855e04a9398918bf05a7814d927a4fe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- A. Rigling
- M. Estiarte
- Josep Peñuelas
- J. Bradley St. Clair
- Tongli Wang
- Terence P. Dawson
- M. Seaward
- C. Ellis
In Ecological Modeling
- J. Bradley St. Clair
- C. Sáenz-Romero
- J. López-Upton
- L. Leites
- Barry C. Jaquish
- M. Seaward
- C. Ellis
- B. Coppins
In Nature and Landscape Conservation
- Josep Peñuelas
- M. Estiarte
- Barry C. Jaquish
- Patricia Prieto
- C. Ellis
- Tongli Wang
- L. Llorens
- J. Bradley St. Clair
Citations in the corpus
- Enhanced forest cover mapping using spectral unmixing and object-based classification of multi-temporal Landsat imagery (2017, background): “Warming temperatures and changing precipitation regimes are expected to cause shifts in tree species distributions (Hamann and Wang, 2006; Iverson and Prasad, 2001; Tang et al., 2012) and increases in the duration and severity of pest/pathogen outbreaks (Dale et al.”
- Shifting Climate, Altered Niche, and a Dynamic Conservation Strategy for Yellow-Cedar in the North Pacific Coastal Rainforest (2012, background): “Yellow-cedar is an ecologically, culturally, and economically important tree species in the coastal temperate rainforests of Alaska and British Columbia.”
- Plant community changes induced by experimental climate change: Seedling and adult species composition (2009, background): “…in plant communities due to current climate change follow a top-down approach in which envelopes of niche species and colonization constraints are regionally modelled in climate scenarios of the future (Iverson and Prasad, 2001; Bakkenes et al., 2002; Hamann and Wang, 2006; Thuiller et al., 2006).”
- Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America (2016, background): “For ecological modeling, climate data are required to represent the climate conditions as close as possible to the locations where organisms reside [3, 4].”
- Geographic Variation in Temperature Tolerance as an Indicator of Potential Population Responses to Climate Change (2011, result): “…seem to corroborate a general difference in projected impacts between regions with ‘continental’ versus ‘maritime’ climates (e.g. Smith et al., 1999; Hamann and Wang, 2006), similar to the already well-appreciated differences in climatechange susceptibility across latitudes (e.g. Addo-Bediako…”
- FTIR-ATR spectroscopic analyses of changes in wood properties during particle- and fibreboard production of hard- and softwood trees (2008, background): “In addition to beech, grand fir wood was tested because this species is growing fast, is probably well adapted to the expected climate change (Hamann and Wang 2006), and forms non-resinous wood (Wagenführ 2000).”
- Species-specific stomatal response of trees to drought - a link to vegetation dynamics? (2009, background): “Such a shift in species abundance may have been driven by changing climate, as suggested for other regions (Hättenschwiler & Körner 1995; Mueller et al. 2005; Hamann & Wang 2006; Kullman 2007).”
- Comparative genetic responses to climate in the varieties of Pinus ponderosa and Pseudotsuga menziesii: Clines in growth potential (2014, background): “…tends to drive genetic variation within the varieties of P. ponderosa and P. menziesii, the occurrence of the species themselves is predicted from a combination of precipitation and temperature variables (PART 1, but also Rehfeldt et al., 2006; Hamann and Wang, 2006; Gray and Hamann, 2013).”
- Response of British lichens to climate change scenarios: Trends and uncertainties in the projected impact for contrasting biogeographic groups (2007, methodology): “Predictive modelling is a powerful tool which has been widely used to create an initial understanding of climate impacts (e.g. Berry et al., 2002; Araújo et al., 2004; Hamann and Wang, 2006; Thuiller et al., 2006).”
- Comparative genetic responses to climate for the varieties of Pinus ponderosa and Pseudotsuga menziesii: Realized climate niches (2014, result): “Our results affirm regional studies showing that the occurrence of two broadly distributed species of western North America can be predicted from a combination of precipitation and temperature variables (Rehfeldt et al., 2006; Hamann and Wang, 2006; Gray and Hamann, 2013).”
- Adaptation, migration or extirpation: climate change outcomes for tree populations (2008, methodology): “New field common-garden experiments should sample as wide a range of populations as possible, attempt to include disjunct and peripheral populations from both leading and rear edges of migration, and select field sites based on predictions from SDMs.”