Science Highlights

Mapping Vegetation Communities using Convolutional Neural Networks

Artificial intelligence applied to multiple remote sensing datasets accurately represents shrub distribution across hillslopes at the Kougarok field site.

Photosynthesis by Tundra Plants Sensitive to Low Temperatures

Light-harvesting processes involved in photosynthesis by tundra plants are unexpectedly sensitive to growth at low temperatures.

NGEE Arctic and EMSL collaborate to provide molecular-scale insights into SOM degradation

Biochemical composition is proposed to improve process-based models of SOM degradation and climate feedbacks

Landscape Mapping using Remote Sensing and Neural Networks

A convolutional neural network (CNN) approach produced highly accurate vegetation classifications. Hyper-spectral datasets (e.g., AVIRIS) were most useful for our machine learning approaches. Accurate and high-resolution datasets generated using our approach are needed for Arctic models.

Spatial and temporal controls on nitrogen availability in polygonal tundra landscapes

Several scaling strategies based on geomorphology were evaluated for complex polygonal landscapes.

Microtopography Determines How CO2 and CH4 Exchanges Respond to Temperature and Precipitation in Polygonal Tundra

Microtopographic variation among troughs, rims, and centers strongly affects the movement of surface water and snow and thereby affects soil water contents and active layer development.

Intermediate Model Overcomes Computational Costs of Simulating Thermal-Hydrology for Polygonal Landscapes

Modeling approach improving representations of permafrost dynamics in evolving landscapes.

Isotope Labelling Study Identifies Importance of Rooting Depth in Nitrogen Uptake of Tundra Vegetation


Field Measurements of Photosynthetic Biochemistry Provide Improved Representation of Gas-Exchange in ESMs

Study highlights the poor representation of Arctic photosynthesis in TBMs, and provides the critical data necessary to improve our ability to project the response of the Arctic to global environmental change.

Analysis of Pond and Lake Quantifies Size-Class Distribution of Water Bodies in High-Latitude Ecosystems