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ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #156247
Title: UNDERSTANDING VEGETATION DYNAMICS PROVIDES INSIGHTS TO SUSTAINABLE INVASIVE PLANT MANAGEMENT AND REMEDIATION STRATEGIES

Author
item Peters, Debra
item Havstad, Kris
item YAO, JIN - NEW MEXICO STATE UNIV

Submitted to: The 7th International Conference on the Ecology and Management of Alien Plant Invasions
Publication Type: Abstract Only
Publication Acceptance Date: 11/3/2003
Publication Date: 11/3/2003
Citation: PETERS, D.C., HAVSTAD, K.M., YAO, J. UNDERSTANDING VEGETATION DYNAMICS PROVIDES INSIGHTS TO SUSTAINABLE INVASIVE PLANT MANAGEMENT AND REMEDIATION STRATEGIES. THE 7TH INTERNATIONAL CONFERENCE ON THE ECOLOGY AND MANAGEMENT OF ALIEN PLANT INVASIONS. INVASIVE PLANTS IN NATURAL AND MANAGED SYSTEMS: LINKING SCIENCE AND MANAGEMENT. 2003. ABSTRACT P. 68.

Interpretive Summary:

Technical Abstract: Our objective is to provide insights into the management of invasive species and remediation of native ecosystems using a combination of long-term studies of vegetation dynamics, short-term process-based experiments, and integrative simulation models. Throughout the western US, encroachment by native woody species into perennial grasslands has been occurring over the past 100 to 200 years. Permanent plots located at long-term research stations have documented this invasion process since the early 1900's. Recent analyses of these long-term data show high spatial variability in shrub invasion rates and grass persistence at the landscape scale. This high spatial variability in grass/shrub interactions and dynamics led to short-term experiments to identify the key processes influencing grass persistence on some sites and inability of grasses to recover on others. A simulation model that integrates key biotic processes and abiotic drivers was used to predict the sites most sensitive or responsive to remediation efforts and those sites most resistant to change. Thus, remediation strategies based on an integration of long-term observations, results from short-term experiments, and simulation model analyses have a greater probability of success than a single approach. These tools are also useful in improving our understanding and management of invasive species.