A holistic big data approach to understand and manage increasing pollen‐induced respiratory allergies under global change

Author:

Ma Xuanlong1ORCID,Huete Alfredo2ORCID,Liu Yuxia3,Zhu Xiaoyu1,Nguyen Ha4,Miura Tomoaki5,Chen Min67,Li Xuecao8ORCID,Asrar Ghassem9

Affiliation:

1. College of Earth and Environmental Sciences Lanzhou University Lanzhou Gansu China

2. School of Life Sciences University of Technology Sydney Ultimo New South Wales Australia

3. Department of Geography and Geospatial Sciences, Geospatial Science Center of Excellence South Dakota State University Brookings South Dakota USA

4. CSIRO Agriculture & Food, Black Mountains Acton Australian Capital Territory Australia

5. Department of Natural Resources and Environmental Management University of Hawai'i at Mānoa Honolulu Hawaii USA

6. Department of Forest and Wildlife Ecology University of Wisconsin‐Madison Madison Wisconsin USA

7. Data Science Institute University of Wisconsin‐Madison Madison Wisconsin USA

8. College of Land Science and Technology China Agricultural University Beijing China

9. iCREST Foundation Sausalito California USA

Abstract

Nearly a third of the world's population suffers from pollen‐induced respiratory allergies—and the number is rising. For those affected, the situation is becoming more stressful every year with climate change, rising atmospheric CO2 levels, and urbanization. These phenomena form a complex interface between human health and global change, yet the critical information needed to unravel it remains fragmented. A holistic big data approach, with close collaboration between Earth system scientists and health experts, is urgently needed to achieve meaningful insights that advance our understanding and management of increasing pollen‐induced respiratory allergies under global change.

Funder

National Institute of Food and Agriculture

Australian Research Council

National Natural Science Foundation of China

Publisher

Wiley

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