Tilden P Meyers
Biographic Data
| ID | 7995046 |
|---|---|
| NAME | Tilden P Meyers |
| GIVEN NAMES | Tilden P |
| FAMILY NAME | Meyers |
| SIGNATURE | MEYERS T P |
| AFFILIATIONS | NOAA Air Resources Laboratory |
| ORCID | 0000-0002-0726-4258 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Substantial carbon loss respired from a corn–soybean agroecosystem highlights the importance of careful management as we adapt to changing climate
Understanding agroecosystem carbon (C) cycle response to climate change and management is vital for maintaining their long-term C storage. We demonstrate this importance through an in-depth examination of a ten-year eddy covariance dataset from a corn–corn–soybean crop rotation grown in the Midwest United States. Ten-year average annual net ecosystem exchange (NEE) showed a net C sink of −0.39 Mg C ha −1 yr −1 . However, NEE in 2014 and 2015 from…
Dynamic global vegetation models underestimate net CO 2 flux mean and inter-annual variability in dryland ecosystems
Despite their sparse vegetation, dryland regions exert a huge influence over global biogeochemical cycles because they cover more than 40% of the world surface (Schimel 2010 Science 327 418–9). It is thought that drylands dominate the inter-annual variability (IAV) and long-term trend in the global carbon (C) cycle (Poulter et al 2014 Nature 509 600–3, Ahlstrom et al 2015 Science 348 895–9, Zhang et al 2018 Glob. Change Biol . 24 3954–68). Projec…
Climate extremes and grassland potential productivity
The considerable interannual variability (IAV) (~5 PgC yr−1) observed in atmospheric CO2 is dominated by variability in terrestrial productivity. Among terrestrial ecosystems, grassland productivity IAV is greatest. Relationships between grassland productivity IAV and climate drivers are poorly explained by traditional multiple-regression approaches. We propose a novel method, the perfect-deficit approach, to identify climate drivers of grassland…
Climate control of terrestrial carbon exchange across biomes and continents
Understanding the relationships between climate and carbon exchange by terrestrial ecosystems \nis critical to predict future levels of atmospheric carbon dioxide because of the potential \naccelerating effects of positive climate–carbon cycle feedbacks. However, directly observed \nrelationships between climate and terrestrial CO2 exchange with the atmosphere across biomes \nand continents are lacking. Here we present data describing the relatio…
Relaxed eddy accumulation measurements of ammonia, nitric acid, sulfur dioxide and particulate sulfate dry deposition near Tampa, FL, USA
The relaxed eddy accumulation (REA) method was utilized to measure fluxes of key atmospheric species, specifically ammonia (NH3), nitric acid (HNO3), sulfur dioxide (SO2) and particulate sulfate (SO42−) to vegetation that is characteristic throughout the Tampa Bay Watershed. Three annular denuder systems (ADS), each consisting of two annular denuders and a filter pack in series, were deployed to accumulate gaseous constituents and fine-fraction p…
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Relaxed eddy accumulation measurements of ammonia, nitric acid, sulfur dioxide and particulate sulfate dry deposition near Tampa, FL, USA
The relaxed eddy accumulation (REA) method was utilized to measure fluxes of key atmospheric species, specifically ammonia (NH3), nitric acid (HNO3), sulfur dioxide (SO2) and particulate sulfate (SO42−) to vegetation that is characteristic throughout the Tampa Bay Watershed. Three annular denuder systems (ADS), each consisting of two annular denuders and a filter pack in series, were deployed to accumulate gaseous constituents and fine-fraction p…
Climate control of terrestrial carbon exchange across biomes and continents
Understanding the relationships between climate and carbon exchange by terrestrial ecosystems \nis critical to predict future levels of atmospheric carbon dioxide because of the potential \naccelerating effects of positive climate–carbon cycle feedbacks. However, directly observed \nrelationships between climate and terrestrial CO2 exchange with the atmosphere across biomes \nand continents are lacking. Here we present data describing the relatio…
Climate extremes and grassland potential productivity
The considerable interannual variability (IAV) (~5 PgC yr−1) observed in atmospheric CO2 is dominated by variability in terrestrial productivity. Among terrestrial ecosystems, grassland productivity IAV is greatest. Relationships between grassland productivity IAV and climate drivers are poorly explained by traditional multiple-regression approaches. We propose a novel method, the perfect-deficit approach, to identify climate drivers of grassland…
Dynamic global vegetation models underestimate net CO 2 flux mean and inter-annual variability in dryland ecosystems
Despite their sparse vegetation, dryland regions exert a huge influence over global biogeochemical cycles because they cover more than 40% of the world surface (Schimel 2010 Science 327 418–9). It is thought that drylands dominate the inter-annual variability (IAV) and long-term trend in the global carbon (C) cycle (Poulter et al 2014 Nature 509 600–3, Ahlstrom et al 2015 Science 348 895–9, Zhang et al 2018 Glob. Change Biol . 24 3954–68). Projec…
Substantial carbon loss respired from a corn–soybean agroecosystem highlights the importance of careful management as we adapt to changing climate
Understanding agroecosystem carbon (C) cycle response to climate change and management is vital for maintaining their long-term C storage. We demonstrate this importance through an in-depth examination of a ten-year eddy covariance dataset from a corn–corn–soybean crop rotation grown in the Midwest United States. Ten-year average annual net ecosystem exchange (NEE) showed a net C sink of −0.39 Mg C ha −1 yr −1 . However, NEE in 2014 and 2015 from…
Environmental Science (5 works) · Atmospheric and Environmental Gas Dynamics (4 works) · Climate change (4 works) · Ecology (4 works) · Ecosystem (4 works) · Plant Water Relations and Carbon Dynamics (4 works) · Atmospheric sciences (3 works) · Biology (3 works) · Carbon cycle (3 works) · Climate variability and models (3 works)