Kanakaleonui Bird Corridor Montane Plants 2016 - FULL dataset
Dates
Publication Date
2017-03-15
Start Date
2016-03-01
End Date
2016-07-31
Citation
Leopold, C.R., and Hess, S.C., 2017, Kanakaleonui Bird Corridor Montane Plants 2016: U.S. Geological Survey data release, https://doi.org/10.5066/F72N50FH.
Summary
The datasets used in the the research project entitled, "Facilitating Adaptation in Montane Plants to Changing Precipitation along an Elevation Gradient," are presented. One dataset includes survival of individual seedlings after 20 weeks, along with the seedling location and associated summarized temperature and soil moisture values. Another dataset includes growth over time of individual seedlings, along with the seedling location and associated summarized temperature and soil moisture values. All weather data (temperature, soil moisture, and relative humidity summary statistics) considered for the analyses are provided in another file. Seed collection data, including locations and dates of each plant species are also provided. More [...]
Summary
The datasets used in the the research project entitled, "Facilitating Adaptation in Montane Plants to Changing Precipitation along an Elevation Gradient," are presented. One dataset includes survival of individual seedlings after 20 weeks, along with the seedling location and associated summarized temperature and soil moisture values. Another dataset includes growth over time of individual seedlings, along with the seedling location and associated summarized temperature and soil moisture values. All weather data (temperature, soil moisture, and relative humidity summary statistics) considered for the analyses are provided in another file. Seed collection data, including locations and dates of each plant species are also provided. More descriptive information can be found with individual file metadata.
We associated the environmental factors of temperature range and soil moisture with elevation and seedling origin to determine if survival or growth of seedlings was influenced by these factors. Data were used to identify microclimatic effects, and larger climatic conditions present along an elevation gradient. Ultimately, data were used to explore whether incorporating these factors into a model can inform forest restoration efforts.
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