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Get Free AccessDryland ecosystems cover 40% of our planet’s land surface, support the lives of billions of people, and are responding dramatically to the combined effects of climate and land use change. These expansive and diverse systems also dominate core aspects of Earth’s climate, storing and exchanging vast amounts of water, carbon, and energy with the atmosphere. Despite the indispensable natural resources and ecosystem services provided by drylands and their high vulnerability to change, drylands are one of the most, if not the most, poorly understood ecosystem types. Such lack of study has been in part due to incorrect historical assumptions that drylands are unproductive “wastelands”. This lack of understanding results in notably poor model representation and forecasting capacity, hindering our representation and decision making for these vulnerable ecosystems. The NASA Terrestrial Ecology Program solicited proposals for a multi-year field campaign, of which Adaptation and Response in Drylands (ARID) was one of two scoping studies selected. With the goal of gathering input from the scientific and data end-user communities, we provide an overview of our ARID kick-off meeting with over 300 in-person and virtual participants held in October 2023 at the University of Arizona. This meeting gathered insights from public and private data end-users and scientists. We also report on follow-up activities that have taken place since then, including town halls, community surveys, and international engagements.
Andrew F. Feldman, Sasha C. Reed, Cibele Hummel do Amaral, Alicja Babst‐Kostecka, Flurin Babst, Joel A. Biederman, Charles John Devine, Zheng Fu, Julia K. Green, Jessica Guo, Niall P. Hanan, Raymond F. Kokaly, M. E. Litvak, Natasha MacBean, D. J. Moore, Dennis S. Ojima, Benjamin Poulter, Russell L. Scott, William K. Smith, Robert Swap, Compton Tucker, Lixin Wang, Jennifer D. Watts, Konrad Wessels, Fangyue Zhang, Wen Zhang (2024). Community Insights for scoping a NASA Terrestrial Ecology field campaign in drylands: ARID. Authorea (Authorea), DOI: 10.22541/au.171804698.89235657/v1.
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Type
Preprint
Year
2024
Authors
26
Datasets
0
Total Files
0
Language
English
Journal
Authorea (Authorea)
DOI
10.22541/au.171804698.89235657/v1
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