Micrometeorology of Azorella macquariensis on Macquarie Island during the summer of 2015/6: An intensive field dataset.

• Other Authors: BOHM, MARGI (hasPrincipalInvestigator), BOHM, MARGI (processor), FINNIGAN, JOHN J. (hasPrincipalInvestigator), BALL, MARILYN (hasPrincipalInvestigator), WHITELEY, I. (processor), SHIELS, TIM (processor), KIEFER, KATE (processor), Australian Antarctic Data Centre (publisher)
• Format: Dataset
• Language: unknown
• Published: Australian Antarctic Data Centre
• Subjects: biota; ATMOSPHERIC PRESSURE MEASUREMENTS; EARTH SCIENCE; ATMOSPHERE; ATMOSPHERIC PRESSURE; INCOMING SOLAR RADIATION; ATMOSPHERIC RADIATION; NET RADIATION; SURFACE TEMPERATURE; ATMOSPHERIC TEMPERATURE; AIR TEMPERATURE; ATMOSPHERIC WATER VAPOR; WATER VAPOR; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED; WIND PROFILES; ATMOSPHERIC WINDS; ANGIOSPERMS (FLOWERING PLANTS); BIOLOGICAL CLASSIFICATION; PLANTS; ISLANDS; BIOSPHERE; TERRESTRIAL ECOSYSTEMS; MONTANE HABITATS; PHOTOSYNTHETICALLY ACTIVE RADIATION; VEGETATION; CANOPY TEMPERATURE VARIABILITY; CLIMATE INDICATORS; BIOSPHERIC INDICATORS; SOIL MOISTURE/WATER CONTENT; LAND SURFACE; SOILS; Micrometeorology; Azorella macquariensis; Subantarctic Climate; FLIR E50 IR Camera; EL-USB-2+ temperature and RH; Vaisala WAA151 cup anemometer; Campbell Instruments LI200X PAR; Campbell Instruments Q-7.1 net radiometer; Campbell Instruments CS650 soil water and temperature; Q1301 portable wind speed and temperature; Davis Vantage Pro Plus with 24-hour Fan automated weather station; AWS > Automated Weather System; HYGROCHRONS I-BUTTONS; CAMERA; HANDHELD; TRIPOD; FIELD INVESTIGATION; GEOGRAPHIC REGION > POLAR; OCEAN > SOUTHERN OCEAN > MACQUARIE ISLAND; MACQUARIE ISLAND > PYRAMID PEAK; Buttons; Pyramid; Southern Ocean; Macquarie Island
• Online Access: https://researchdata.ands.org.au/micrometeorology-azorella-macquariensis-field-dataset/699171; https://doi.org/10.4225/15/5848b5dcaaceb; https://data.aad.gov.au/metadata/records/AAS_4192_2015-16_Macquarie_Is_field_data; http://nla.gov.au/nla.party-617536

The main purpose of the field campaign of Nov-Dec 2015 was to glean real-world data to facilitate the use of a model-data fusion process to infer the exchange of sensible heat and moisture fluxes from healthy and unhealthy A. macquariensis cushions in an effort to quantify differences in the exchange of heat and moisture between stressed and unstressed plants. Recent observations (April 2015) and previous research into the decline of A. macquariensis on the island suggest that exposure may also be linked to cushion health which raises a concern that changing microclimates as a result of changing synoptic weather may provide a key stressor for the cushions. Thus, the field campaign of Nov-Dec 2015 concentrated on an area where there was a good selection of healthy and unhealthy cushions across the landscape and where we could find facing sheltered and exposed slopes of similar steepness and cushion density. The research site chosen was located near Pyramid Peak where a selection of healthy and unhealthy cushions was available at both sites, unlike the northern part of the island where most cushions appear to be damaged and southern Macquarie Island where most cushions show little signs of damage. Data were collected using a standard automatic weather station (AWS) that provided general weather data for the region from 27 Nov, 2015 to 23 Feb, 2016. Intensive sites were located on each slope at similar heights from 28 Nov to 18 Dec, 2015. Meteorological measurements at these sites included net radiation, PAR, wind speed, temperature, relative humidity, soil moisture and soil and cushion temperatures. In addition, three intensive 24-hour sampling campaigns occurred to determine the daily evolution of wind and temperature profiles together with cushion surface temperatures (using IR thermography) under different meteorological conditions; cloudy, partly cloudy and clear (8-9 Dec; 12-13 Dec; 15 Dec, 2015). Cushion temperatures were also measured from 19 Dec, 2015 to the end of February, 2016. Taken from the abstract of the "Meta Data Report" in the download file: This report provides metadata and explanations to support the datasets collected during the field excursion to Macquarie Island 2015-2016 as part of Project 4192, Ball. The main purpose of the field campaign of Nov-Dec 2015 was to glean real-world data to facilitate the use of a model-data fusion process to infer the exchange of sensible heat and moisture fluxes from healthy and unhealthy A. macquariensis cushions in an effort to quantify differences in the exchange of heat and moisture between stressed and unstressed plants. Recent observations (April 2015) and previous research into the decline of A. macquariensis on the island suggest that exposure may also be linked to cushion health which raises a concern that changing microclimates as a result of changing synoptic weather may provide a key stressor for the cushions. Thus, the field campaign of Nov-Dec 2015 concentrated on an area where there was a good selection of healthy and unhealthy cushions across the landscape and where we could find facing sheltered and exposed slopes of similar steepness and cushion density. The research site chosen was located near Pyramid Peak where a selection of healthy and unhealthy cushions was available at both sites, unlike the northern part of the island where most cushions appear to be damaged and southern Macquarie Island where most cushions show little signs of damage. Data were collected using a standard automatic weather station (AWS) that provided general weather data for the region from 27 Nov, 2015 to 23 Feb, 2016. Intensive sites were located on each slope at similar heights from 28 Nov to 18 Dec, 2015. Meteorological measurements at these sites included net radiation, PAR, wind speed, temperature, relative humidity, soil moisture and soil and cushion temperatures. In addition, three intensive 24-hour sampling campaigns occurred to determine the daily evolution of wind and temperature profiles together with cushion surface temperatures (using IR thermography) under different meteorological conditions; cloudy, partly cloudy and clear (8-9 Dec; 12-13 Dec; 15 Dec, 2015). Cushion temperatures were also measured from 19 Dec, 2015 to the end of February, 2016. Section 1 presents detailed information about instruments, variables and sampling periods for each dataset. Section 2 provides some useful information on the experimental design.