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17 protocols using li 190

1

Stomatal Opening Assay in Begonia

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The day before the experiment, plants were transferred to constant darkness for at least 12 h to induce stomatal closure. Mature leaves from the second or third node position were collected, the major vein was removed, and the leaf blade was dissected into 1‐cm2 squares and submerged into the opening buffer. To capture images from the same position of the leaf section, the microscope light source was used at a light intensity maintained to 100–200 μmol·m−2·s−1 using a light meter (LI‐250A, LI‐COR) with a quantum sensor (LI‐190, LI‐COR). Leaf sections were observed under a Leica light microscope (DM 500). All images were recorded every 30 for 240 min (nine images taken per sample). The preparation of the opening buffer followed the method of Papanatsiou et al. (2017 (link)) with a few modifications, including 10 mM MES and 50 mM KCl. After testing for series of pH adjustments from 4.0 to 9.0, alkaline pH offered better responses for stomatal opening in the two Begonia spp. tested here. The opening buffer was thus adjusted to a pH of 8.86. All image recordings and quantification were performed as above for stomatal images for gs max.
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2

Weather Station Data in Abisko, Sweden

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A weather station was set up in the center of the measurement area of ca. 1200 m2 in late May 2018. It consisted of a wind speed anemometer (R3−50; 327 cm above ground; GILL, Lymington, UK), two shielded relative humidity and temperature sensors (CS215; 20 cm and 200 cm above ground; Campbell Scientific, Logan, UT, USA), an incoming photosynthetic photon flux density (PPFD) sensor (LI-190; 115 cm above ground; LI-COR, Lincoln, NE, USA), and PT-100 temperature probes (W-EYK, Heraeus, Kleinostheim, Germany) at different soil depths (3, 10, 15 and 20 cm) connected to a Campbell CR1000 data logger.
Air temperature, PPFD and VPD during the measurement period are presented in Fig. 1. Mean annual temperature in 2018 was 0.2 °C (ANS, 2020 ). Mean air temperature for the period between June 8 and September 2 measured at the site in 2018 was 11.7 ± 0.05 °C (Fig. 1e). Air temperature for the same period averaged over 100 years (1914–2013) taken at the Abisko Scientific Research Station (ANS, 2020 ), ca. 1 km away, was 9.9 ± 0.12 °C and over 30 years (1986–2015) was 9.7 ± 0.16 °C. Therefore, when taken a whole, 2018 was an ordinary year in Abisko in terms of air temperature, but with a very warm summer.
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3

Multivariate Microclimate Monitoring

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At each site, a datalogger (CR10X, Campbell Scientific, Utah) and sensors was used to record air temperature, relative humidity (Humitter 50Y, Vaisala, Finland), and photosynthetically active radiation (PPFD) (LI-190, Licor, Utah) every 15 minutes over 24 h prior to sample collection. Metadata was also collected for each sample tree, these included: GPS coordinates (WGS84 (G1762); degree minutes), elevation, tree height, and the basal diameter of the tree base at 10 cm off the ground. For each of the three branches collected per tree, height of the branch above ground and aspect (0–360°) were also recorded.
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4

Cultivating Micro-Tom Tomato Seedlings under Controlled Conditions

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A dwarf tomato cultivar, ‘Micro-Tom’ (Solanum lycopersicum L.), was used for the experiment. Tomato seeds were sown in a urethane sponge (M-urethane, M Hydroponics Laboratory Co. Inc., Aichi, Japan) and maintained at 25 °C for 3 days in the dark. Seeds germinated on the 3rd day, and then seedlings were cultivated under white LED lamps (LDL40S-N19/21, Panasonic Corporation, Osaka, Japan) in a room with a controlled environment at Matsudo campus, Chiba University. The following conditions were maintained—the PPFD was set to 200 μmol m−2 s−1 at the canopy level using a quantum sensor (LI-190, LI-COR Inc., Lincoln, NE, USA) and air temperature of 25/20 °C (light/dark period) with 70% relative humidity, 1000 μmol mol−1 CO2 concentration, and 16 h/8 h (light/dark) photoperiod were maintained. All plants were cultivated using 1/2 OAT house A nutrient (OAT Agrio Co., Ltd., Tokyo, Japan) from 7 days after germination. pH and electrical conductivity of the nutrition solution were set at 6.3 and 1.3 dS m−1, respectively. The nutrition solution was renewed every 4 days. Seedlings were grown under these conditions until the third true leaf (from the bottom) fully expanded, which occurred 24 days after sowing, after which the seedlings were transplanted into the treatment area.
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5

Alpine Meadow CO2 Exchange Monitoring

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Net ecosystem CO2 exchange was observed from 2015 to 2020 by an open-path eddy covariance measurement system installed above an alpine meadow at 2 m. The sensor was broken at the beginning of 2019, so there was a long data gap in 2019 and the data in 2019 were discarded. The open-path eddy covariance system has a three-dimensional sonic anemometer (CSAT3; Campbell Scientific Inc. (CSI), Logan, USA) and an open-path CO2/H2O infrared gas analyzer (LI-7500A; Li-COR Inc, Lincoln, NE, USA). Flux data are logged with a data logger at 10 Hz (CR5000, Campbell Scientific, UT, USA). HMP45C temperature probe (Vaisala, Finland) was used to measure air temperature. Soil volumetric water content (VWC) at a depth of 5 and 10 cm was measured using a CS655 probe (CSI, Logan, USA). Precipitation was measured by a tipping bucket rain gauge (TE525, CSI, Logan, USA). Photosynthetic photon flux density (PPFD) was measured using a photosynthetic active radiation sensor (LI190, LI-Cor, USA). This eddy covariance tower is one of the ChinaFlux (China Flux Observation and Research Network) and FLUXNET long-term observation site.
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6

Duckweed Growth under UVB Exposure

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The test species Lemna minor L. (strain ID: 5544, Rutgers Duckweed Stock Cooperative) was obtained from Ghent University, Belgium. After disinfection by 0.5% NaOCl (v/v), the L. minor cultures were maintained in Swedish Standard (SIS) medium (Moody and Miller 2005 ) in a growth chamber at 24 °C under continuous white light from fluorescent lamps (L 36W/77-G13, Centra Osram, Berlin, German) with a PAR of 80 ± 5 µmol m−2 s−1 following the OECD TG221 guideline (OECD 2006 ), with stock thalli sub-cultured twice a week. The combinations of UVB, UVA and PAR were carefully chosen to assess the effects of different UVB irradiances under artificial conditions with relatively low photosynthetic photon flux density rather than mimicking growth conditions in nature. The irradiance was measured with a LI-COR quantum sensor Model LI-190 (Lincoln, NE, USA) connected to a LI-COR LI-250 photometer unit.
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7

Environmental Data and LIFT Measurements

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Environmental data were recorded every minute from three sensor stations distributed in the Miniplot facility. Data were uploaded to an SQL database. The used sensors were LI-190 (LI-COR Inc., Nebraska USA) for photosynthetic photon flux density (PPFD) and HMP110 (Vaisala, Helsinki, Finland) for air temperature and humidity. Environmental data were linked to LIFT measurements taken in the same minute.
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8

Measuring Canopy Light Interception

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Leaf Area Index (LAI) was estimated from hemispherical photographs taken with a Panasonic Lumix DMC-GH1 camera (Panasonic Corporation, Kadoma, Japan) and Sigma fisheye 4.5 mm and 1:2.8 aperture lens (Sigma Corporation, Rokonkoma, NY, USA). Hemisfer software (Schleppi et al., 2007 (link)) was used to calculate LAI values from the images and pixels were divided into sky and canopy using threshold values that were checked manually.
Canopy light interception (Δ light) was estimated using an Li-190 (LICOR, Nebraska, USA) quantum sensor connected to a Li-250A light meter. First we estimated PAR under the canopy around the sampling point (PARUC). PARUC was measured in a cross sampling scheme centered on the tree used for leaf traits and optical measurements, with 5 repeat measurements in direction North to South and 5 repeat measurements in the direction East to West. Then we measured (5 repeats of) PAR in an open and non-obstructed place, such as an access road, in similar sky conditions and as close to the original sampling point as possible (PAROPEN). We calculated Δ light using averaged repeat measurements as:
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9

Measuring Tundra Vegetation Surface Temperature

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We retrieved the vegetation surface temperature with research-grade infrared radiometers (SI-111 in Abisko and SI-411 in Finse, both from Apogee Instruments), mounted on the eddy covariance mast, that measured noninvasively the vegetation surface temperature integrated over its field of view (4.8 and 12.4 m2 in Abisko and Finse, respectively). These measurements of surface temperature constitute the best approximation of the temperature actually experienced by the tundra vegetation, which is known to be one of the main drivers of isoprene emissions. Furthermore, when attempting to understand and model biogenic isoprene emissions, it is important to work with surface temperature, rather than air temperature, because it has been shown that solar radiation can warm Arctic plants several degrees above the temperature of the surrounding air (16 , 48 , 49 ). The portion of the solar radiation that plants can capture to fuel photosynthesis (i.e., PPFD) was measured at both sites with quantum sensors: Apogee SQ110 in Abisko and LI-190 (LI-COR Biosciences) in Finse.
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10

Quantifying Canopy Light Interception and Biomass Energy Conversion

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Daily canopy light interception fraction and season-long interception efficiency, 𝜀i, were determined as the fraction of available PAR that was absorbed (APAR) by the canopy. APAR was calculated as
where Io was incident PAR measured above the canopy with an upright quantum sensor, It was transmitted PAR measured at soil level using a line sensor, and Ir was reflected PAR measured with an inverted quantum sensor above the canopy. All data were collected using line (model SQ-311) and quantum (model SQ-110) sensors (Apogee Instruments, Logan, UT, USA) that had been calibrated with a high precision quantum sensor (LI-190, LI-COR, Lincoln, NE, USA) at the beginning of the season. All data were logged every 10 s using a datalogger (model CR3000 in 2012 and model CR10X in 2013, Campbell Scientific, Logan, UT, USA). Measurements began on DOY 180 in 2012 and DOY 189 in 2013 and corresponded to the V5 developmental stage. The energy conversion efficiency (𝜀c) was determined as the slope of accumulated aboveground biomass energy regressed on accumulated APAR from early vegetative stages to peak biomass energy. 𝜀p was determined as the ratio of seed energy: total aboveground plant energy at harvest maturity. Yield and seed mass were determined after harvesting and threshing seeds from pods of four complete rows per plot in each experiment.
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