Data · collection · 2022
Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive
Listed in NASA Earthdata CMR
This Modeling Archive is in support of a NGEE-Arctic publication: Riley et al. (2021) “Non-growing season plant nutrient uptake controls Arctic tundra vegetation composition under future climate”.
Description
DOI.The dataset contains “ecosys” model outputs reported in Riley et al. (2021) that examines the role of non-growing season (NGS) nutrient dynamics on 21st century vegetation composition. The study highlighted the importance of these nutrient dynamics on the emergent plant functional type distributions, focusing on their role in shrub expansion.
The study showed that ignoring NGS nutrient dynamics led to a dramatic under-prediction of shrub expansion by year 2100, motivating the need to include these processes in Earth System Models.Included are modeled net primary production (NPP) and nitrogen (N) uptake for two scenarios: (1) baseline and (2) no NGS N uptake. The output is provided (1) at 25 km resolution across the North American tundra; (2) for years 2012 through 2100; and (3) PFT-specific.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate.
Read the rest (1 more)
NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
Links
Get the data
- GET DATA ngee.ornl.gov/ngeedata/NGA263/data ↗
download · from NASA CMR
- GET DATA ngee.ornl.gov/ngeedata/NGA263/documentation ↗
download · from NASA CMR
Catalogue records · 2
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2234858146-SCIOPS.html ↗
catalogue entry · from NASA CMR
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2234858146-SCIOPS.umm_json ↗
metadata API · from NASA CMR
Topics
- Stated by source
- Not provided · Not Provided
- Inferred from text
- Climate change impacts and adaptation 69% · Sequencing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C2234858146-SCIOPS | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[field].anzsrc:group:4101 | enrichment · NASA CMR | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[measured_variable].gcmd:earth-science/not-provided/not-provided | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[modality].local:modality:sequencing | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[platform].gcmd_platform:not-provided | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| temporal | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/TemporalExtents |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |