Leaf Chlorophyll and Total Carotenoid Content, Utqiagvik (Barrow), Alaska, 2013-2015

• Main Authors: Rogers, Alistair, Lasota, Stefanie, Ely, Kim, Serbin, Shawn, Sloan, Victoria, Slette, Ingrid, Liebig, Jennifer
• Language: unknown
• Published: 2023
• Subjects: 54 Environmental Sciences; Arctic; Arctagrostis latifolia; Arctophila fulva; Barrow; Carex aquatilis; Dupontia fisheri; Eriophorum; Luzula arctica; Nome; north slope; permafrost; Petasites frigidus; Seward Peninsula; Tundra; Alaska
• Online Access: http://www.osti.gov/servlets/purl/1429875; https://www.osti.gov/biblio/1429875; https://doi.org/10.5440/1429875

Chlorophyll a, Chlorophyll b and total carotenoid content were determined on 146 samples collected from Arctic plant species within the Barrow Environmental Observatory in 2013 and 2015. Species sampled are Arctophila fulva, Arctagrostis latifolia, Carex aquatilis, Dupontia fisheri, Eriophorum angustifolium, Petasites frigidus, Salix pulchra, Vaccinium vitis-idaea, Salix rotundifolia, Luzula arctica and Saxifraga punctata. Samples collected in vegetation plots and outside vegetation plots over an area of approximate 1 km2 centered at 71.275 degrees N, 156.641 degrees W. This dataset includes one csv, one xlsx, and one pdf file. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. 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).