Beyond Traditional Hardiness Zones: Using Climate Envelopes to Map Plant Range Limits

• Published in: Bioscience Vol. 57; no. 11; pp. 929 - 937
• Main Authors: McKENNEY, DANIEL W, PEDLAR, JOHN H, LAWRENCE, KEVIN, CAMPBELL, KATHY, HUTCHINSON, MICHAEL F
• Format: Journal Article
• Language: English
• Published: Circulation, AIBS, 1313 Dolley Madison Blvd., Suite 402, McLean, VA 22101. USA American Institute of Biological Sciences 01.12.2007; Oxford University Press
• Subjects: Acclimatization (Plants); Acer saccharinum; Acer saccharum; agroclimatology; agroecological zones; biological resistance; Climate; Climate change; climate envelopes; Climatic conditions; Climatic zones; Climatology; Company distribution practices; Competition; Data ranges; Distribution; Environmental conditions; Gardening; General circulation models; geographical distribution; Global climate models; Habitats; Hardiness; Horticulture; Maple sugar; mortality; Native species; OVERVIEW ARTICLES; phytogeography; Plant acclimatization; plant distribution; plant growth; Plant hardiness; plant hardiness zones; Plant species; Plants; Plants (Organisms); prediction; Regression analysis; spatial data; species differences; Temperature; Temperature control; Winter; Canada; United States; North America; plant distribution; plant hardiness zones; climate envelopes; climate change
• ISSN: 0006-3568; 1525-3244
• DOI: 10.1641/B571105

Traditional plant hardiness zone maps identify areas that are relatively homogeneous with respect to climatic conditions that affect plant survival. Plants are typically categorized according to the most northerly, and sometimes the most southerly, zone in which they can successfully grow. This approach suffers from a number of limitations, including the coarse spatial nature of the zones and the relatively unsystematic assignment of plants to zones. Here we propose using climate envelopes to map the potential ranges of plant species in North America in wild and cultivated settings. We have initiated a major data-gathering effort that currently includes over 1.8 million georeferenced observations for more than 4100 plant species. We demonstrate the approach using sugar maple (Acer saccharum) and show the ease with which predicted climate-change impacts can be incorporated into the models.