Invasive plants reduce the capacity of ecosystems to provide goods and serv
ices required by society, alter ecological processes, and can displace desi
rable species. They can reduce wildlife habitat quality, riparian area inte
grity, rangeland economic value, and enterprise net returns. The invasion p
rocess is regulated by characteristics of the invading plant and the commun
ity being invaded. The presence and spread of invasive plants is often symp
tomatic of underlying management problems that must be corrected before acc
eptable, long-term rangeland improvement can be achieved. Disturbance appea
rs to be important early in the invasion process because it creates vacant
niches that alien plants can occupy. Control of invasive plants may only op
en niches for establishment of other undesirable plants unless desirable pl
ants are present to fill the vacated niches. In many instances, rangelands
have deteriorated to the point that desirable species are either not presen
t, or in such low abundance that plant community recovery is slow or will n
ot occur without revegetation after invasive plants are controlled. Integra
ted weed management employs the planned, sequential use of multiple tactics
(e.g. chemical, biological, cultural, and mechanical control measures) to
improve ecosystem function (energy flow and nutrient cycling) and maintain
invasive plant damage below economic levels, and emphasizes managing rangel
and ecosystem functions to meet objectives rather than emphasizing a partic
ular weed or control method. Sustainable, integrated invasive plant managem
ent strategies require assessing plant impacts, understanding and managing
the processes influencing invasion, knowledge of invasive plant biology and
ecology. and are based on ecological principles. Invasive plant management
programs must be compatible with and integrated into overall rangeland res
ource management objectives and plans. Because of the complexity of managin
g invasive plants, it is imperative that relevant ecological and economic i
nformation be synthesized into user-friendly decision support systems.