Developing a Detection Method for New Invaders at the Landscape Scale

The ability to predict plant invasions and detect them early in the process are important considerations for invasive plant management. While agencies and landowners typically take the approach of on-the-ground searches and some may utilize habitat suitability models, these tools may not facilitate detection of incipient infestations when the species is unknown. A team set out to develop a method to identify where to look for a new invader to assist managers in focusing search efforts to areas more prone to invasion.

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Canada Thistle Affects Herbage Production in the Northern Great Plains

Canada thistle can cause greater than 50% yield loss in small grain crops, but little is known about production losses when the weed invades pasture and wildlands. Change in grass, forb, and woody species production from Canada thistle infestations was evaluated in two separate studies in North Dakota.

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Constructing Standard Invasion Curves from Herbarium Data—Toward Increased Predictability of Plant Invasions

by Pedro M. Antunes and Brandon Schamp. Invasive Plant Science and Management, 10(4):293-303. 2017.

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Is it possible to predict which nonnative plant species will become invasive weeds and when? Authors explore challenges related to developing invasion curves for plants using herbarium data.  The goal is to better position herbaria and researchers to assist natural resource managers in prioritizing needs, supporting management decisions and developing prevention and monitoring programs.  

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