Forest migration outpaces tree species range shift across North America

Author:

Abbasi Akane1,Woodall Christopher2,Gamarra Javier3ORCID,Ochuodho Thomas4,de-Miguel Sergio5,Sahay Rajeev6,Fei Songlin7ORCID,Paquette Alain8ORCID,Chen Han9ORCID,Catlin Ann Christine10,Liang Jingjing1

Affiliation:

1. Purdue University

2. United States Department of Agriculture, Forest Service

3. Food and Agriculture Organization of the United Nations

4. Department of Forestry and Natural Resources, University of Kentucky

5. Department of Crop and Forest Sciences, University of Lleida

6. School of Electrical and Computer Engineering, Purdue University

7. Purdue University West Lafayette

8. Université du Québec à Montréal

9. Lakehead University

10. Rosen Center for Advanced Computing, Purdue University

Abstract

Abstract Mounting evidence suggests that geographic ranges of tree species worldwide are shifting under global environmental change, but little is known about forest migration—the shift in the geographic ranges of forest types—and how it differs from individual tree species migration. Here, based on in situ records of more than 9 million trees from 596,282 sample plots, we quantified and compared the migration patterns of forests and tree species across North America between 1970 and 2019. On average, forests migrated at a mean velocity of 205.2 km per decade, which is twice as fast as species-level migration (95.6 km per decade), and 12 times faster than the average of previous estimates (16.3 km per decade). Our findings suggest that as subtle perturbations in species abundance can aggregate to change an entire forest from one type to another, failing to see the forest for the trees may result in a gross underestimation of the impacts of global change on forest ecosystem functioning and services. With the first forest classification and quantification of forest migration patterns at a continental level, this study provides an urgently needed scientific basis for a new paradigm of adaptive forest management and conservation under a rapid forest migration.

Publisher

Research Square Platform LLC

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