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Long-term Experimental Forest Growth and Drought Data
These data were compiled in order to represent long-term (multi-decadal) forest growth across eight different experimental forests in the United States, each with replicated levels of density treatments, as well as an important drought index correlated to growth. Forests around the world are experiencing severe droughts and elevated competitive intensity due to increased tree density. These data can be utilized to not only examine differences in within-stand competition, as well the trends and impact of drought in different forests across a broad climatic gradient, but also the influence of interactions between drought and competition on forest growth. Growth is measured as a treatment level, annual basal area increment (BAI, mm2/year). The self-calibrated Palmer Drought Severity Index (scPDSI) was used as index of annual scale drought severity and related to growth patterns.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "John B Bradford",
"@type": "vcard:Contact",
"hasEmail": "mailto:jbradford@usgs.gov"
}
|
| description | These data were compiled in order to represent long-term (multi-decadal) forest growth across eight different experimental forests in the United States, each with replicated levels of density treatments, as well as an important drought index correlated to growth. Forests around the world are experiencing severe droughts and elevated competitive intensity due to increased tree density. These data can be utilized to not only examine differences in within-stand competition, as well the trends and impact of drought in different forests across a broad climatic gradient, but also the influence of interactions between drought and competition on forest growth. Growth is measured as a treatment level, annual basal area increment (BAI, mm2/year). The self-calibrated Palmer Drought Severity Index (scPDSI) was used as index of annual scale drought severity and related to growth patterns. |
| distribution |
[
{
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"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/F7125RW8",
"mediaType": "application/http",
"description": "Landing page for access to the data"
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{
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"title": "Original Metadata",
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5a563a94e4b01e7be24449ab |
| keyword |
[
"Argonne Experimental Forest",
"Arizona",
"Bartlett Experimental Forest",
"Birch Lake Experiment",
"Black Hills Experimental Forest",
"Black Hills National Forest",
"Chequamegon National Forest",
"Chippewa National Forest",
"Climate",
"Competition",
"Cutfoot Experimental Forest",
"Dendrochronology",
"Drought",
"Flagstaff",
"Forest Density",
"Forest Health",
"Fort Valley Experimental Forest",
"Maine",
"Minnesota",
"New Hampshire",
"Nicolet National Forest",
"Ohio",
"Orono",
"Penobscot Experimental Forest",
"Resilience",
"Resistance",
"Silviculture",
"South Dakota",
"Superior National Forest",
"Taylor Woods",
"USGS:5a563a94e4b01e7be24449ab",
"Vinton Furnace Experimental Forest",
"White Mountain National Forest",
"Wisconsin"
]
|
| modified | 2020-08-14T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -111.72100067139, 35.278697967529, -68.61669921875, 47.70000076294 |
| theme |
[
"Geospatial"
]
|
| title | Long-term Experimental Forest Growth and Drought Data |