Study Number: 

1032

Project Title:

Gap microclimate measurements.

Investigator(s):

James M. Vose  E-Mail | Tel. 828.524.2128 x 114 | Biographical Sketch
Barry Clinton  E-Mail |
Tel. 828.524.2128 x124 | Biographical Sketch
Affiliated Institution(s): USDA Forest Service
Address: Coweeta Hydrologic Laboratory
3160 Coweeta Lab Road
Otto, North Carolina 28763  USA
Study Type: Terrestrial
Project Type: Coweeta Core Research
Study Period: 05/1993 - 05/1997
Status/Notes:

Type 1

Funding Sources:

National Science Foundation, DEB-9632854 (Text Version) and DEB-0218001 (Text Version) to Coweeta LTER.

Abstract: LTER Gap Project Overview

Fact:
Tree mortality at small spatial scales represents background levels of forest disturbance in the southern Appalachians, and is the dominant and most frequent initiator of change in terrestrial ecosystems.

Hypothesis:
Large-scale and rare episodic events (i.e., hurricanes, ice, etc.) may do more to influence tree replacement and stand composition in the long-run than do small scale tree mortality events.

Overall Question:
What is the ecological significance of small scale mortality events with respect to biotic and abiotic responses.

Approach:
Experimentally create typical (<300 m2) canopy gaps (girdling and herbicides) at two elevations in Rhododendron and non-Rhododendron areas. 

Measurements:
-automated micro-environmental measurements (air and soil temperature), photosynthetically active radiation, %WC.
-hemispherical photography
-dendrometer bands and repeated measurements
-population dynamics and seedling physiology
-in situ closed core N mineralization and nitrification
-small and large mammal seed and plant herbivory using exclosures

Specific Questions:
1) How are microclimate and nutrient (N) cycling affected by small scale canopy removal?
2) What are the physiological and productivity responses of advanced regeneration?
3) What is the productivity response of non-gap-maker trees (dominants, co-dominant, and saplings)?
4) What strategy for recovery is most likely (seedling recruitment, sapling ingrowth, canopy closure)?
5) How do all of the above relate to/regulate each other?
6) What is the effect of elevation on response?
7) How do responses differ in Rhododendron versus non-Rhododendron areas?


Resources for students about terms used in this study:
Succession in canopy gaps - Source: Coweeta LTER
Environmental heterogeneity-tree gaps research - Source: Coweeta LTER
Dendrometer Tree Bands, p. 19-21 - Source: 2001 Coweeta Field Technician Procedure Manual
Location(s), Described: Watershed 18 and Watershed 27.
Location(s), Download GPS: ArcView Shape Files (shp.):  UTM, NAD83, Zone 17 Lat/Lon
Location(s), Online Maps: Online Map
Methods/Experimental Design: Soil and Air Temperatures:
Thermocouples were installed at 1m above the forest floor (air temperature) and 10 cm below the forest floor surface (soil temperature) and were co-located at 11 locations along permanent transects in all non-Rhododendron gaps and 1 Rhododendron gap at each elevation. Only 1 Rhododendron gap was instrumented at each elevation because of the presumed lower variability in temperature beneath Rhododendron sub-canopies compared to areas without Rhododendron. The air temperature thermocouples were placed in a PVC shield to prevent artificial heating from direct solar radiation. Copper-Constantine wire (Type T) was used. Data were recorded automatically though a multiplexed system controlled by a CR10 data logger and down loaded periodically as needed. Data were scanned for obvious problems such as deteriorated thermocouples and repairs were made in the field as needed. The reason for monitoring soil and air temperature was to detect changes in understory microclimatic conditions due to the creation of the canopy gap.

Air temperature measured with Campbell multiplexed automated data loggers equipped with thermocouple sensors. Thermocouples placed 1m above the forest floor and distributed at 2m intervals across the gap.
Soil temperature measured with Campbell multiplexed automated data loggers equipped with thermocouple sensors. Thermocouples buried at a depth of about 10cm across 2m intervals along a permanent transect within the gap.

Sampling Frequency: Every two hours
Data Columns: Monthly:
ID - Identifier number
SITE - Coded value
YEAR - Year
MONTH - Month
L5 - Temperature at location 18m east of center
L4 - Temperature at location 8m east of center
L3 - Temperature at location 6m east of center
L2 - Temperature at location 4m east of center
L1 - Temperature at location 2m east of center
L0 - Temperature at location center of gap
L_1 - Temperature at location 2m west of center
L_2 - Temperature at location 4m west of center
L_3 - Temperature at location 6m west of center
L_4 - Temperature at location 8m west of center
L_5 - Temperature at location 18m west of center

Daily:
ID - Identifier number
SITE - Coded value
PLOT - Plot number
YEAR - Year
JDAY - Julian day
MONTH - Month
L5 - Temperature at location 18m east of center
L4 - Temperature at location 8m east of center
L3 - Temperature at location 6m east of center
L2 - Temperature at location 4m east of center
L1 - Temperature at location 2m east of center
L0 - Temperature at location center of gap
L_1 - Temperature at location 2m west of center
L_2 - Temperature at location 4m west of center
L_3 - Temperature at location 6m west of center
L_4 - Temperature at location 8m west of center
L_5 - Temperature at location 18m west of center

Hourly:
ID - Identifier number
SITE - Coded value
PLOT - Plot number
YEAR - Year
JDAY - Julian day
HOUR - Hour
L5 - Temperature at location 18m east of center
L4 - Temperature at location 8m east of center
L3 - Temperature at location 6m east of center
L2 - Temperature at location 4m east of center
L1 - Temperature at location 2m east of center
L0 - Temperature at location center of gap
L_1 - Temperature at location 2m west of center
L_2 - Temperature at location 4m west of center
L_3 - Temperature at location 6m west of center
L_4 - Temperature at location 8m west of center
L_5 - Temperature at location 18m west of center

Site Codes:
hna - High Elevation Non-rhododendron Air-Temp; Celsius
hns - High Elevation Non-rhododendron Soil-Temp; Celsius
hra - High Elevation Rhododendron Air-Temp; Celsius
hrs - High Elevation Rhododendron Soil-Temp; Celsius
lna - Low Elevation Non-rhododendron Air-Temp; Celsius
lns - Low Elevation Non-rhododendron Soil-Temp; Celsius
lra - Low Elevation Rhododendron Air-Temp; Celsius
lrs - Low Elevation Rhododendron Soil-Temp; Celsius

Missing Data Codes:  . (Period)
Publications:

Representative publications and research data from investigator(s) of this study:
Clinton - Global search

Vose - Global search

Data Restrictions: Users must adhere to the Coweeta LTER Data Policy.
Metadata: EML Format (XML Schema) | Information about EML
Data Downloads:  Monthly Gap Microclimate Measurements
1993: Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1994: Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1995: Microsoft® Excel (.xls) | Text Comma Delimited (.csv) | DBase (.dbf)

1996: Microsoft® Excel (.xls) | Text Comma Delimited (.csv) | DBase (.dbf)

1997: Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

Daily Gap Microclimate Measurements
1993:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1994:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1995:  Microsoft® Excel (.xls) | Text Comma Delimited (.csv) | DBase (.dbf)

1996:  Microsoft® Excel (.xls) | Text Comma Delimited (.csv) | DBase (.dbf)

1997:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

Hourly Gap Microclimate Measurements
1993:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1994:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1995:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1996:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)

1997:  Microsoft® Excel (.xls) |
Text Comma Delimited (.csv) | DBase (.dbf)