WEED SCIENCE BEYOND THE WEEDS - THE ROLE OF INTEGRATED WEED MANAGEMENT (IWM) IN AGROECOSYSTEM HEALTH

Citation
Cj. Swanton et Sd. Murphy, WEED SCIENCE BEYOND THE WEEDS - THE ROLE OF INTEGRATED WEED MANAGEMENT (IWM) IN AGROECOSYSTEM HEALTH, Weed science, 44(2), 1996, pp. 437-445
Citations number
100
Categorie Soggetti
Plant Sciences",Agriculture
Journal title
ISSN journal
00431745
Volume
44
Issue
2
Year of publication
1996
Pages
437 - 445
Database
ISI
SICI code
0043-1745(1996)44:2<437:WSBTW->2.0.ZU;2-M
Abstract
Integrated weed management (IWM) research has focused on how crop yiel ds and weed interference are affected by changes in management, e.g., tillage, herbicide application timing and rates, cover crops, and plan ting patterns, Acceptance of IWM will depend on recommendation of spec ific strategies that manage weeds and maintain crop productivity; such research will and should continue, However, IWM needs to move from a descriptive to a predictive phase if long-term strategies are to be ad opted, Linking management changes with crop-weed modeling that include s such components as weed population dynamics and the ecophysiological basis of competition will help predict future weed problems and solut ions and the economic risks and benefits of intervention, Predictive a pproaches would help incorporate IWM into models of the processes that occur in agricultural systems at wider spatial and temporal scales, i .e., in agroecosystems comprised of the interactions among organisms ( including humans) and the environment, It is at these larger scales th at decisions about management are initiated and where questions about the long-term consequences and constraints of IWM and agriculture are often asked, These questions can be addressed by agroecosystem health, an approach that integrates biophysical, social, and economic concern s and recognizes that agriculture is part of a world with many complex subsystems and interactions, Indicators are used to examine the statu s of an agroecosystem, e.g., whether or not it contains all that is ne cessary to continue functioning, Indicators include soil quality, crop productivity, and water quality; all of these are related to the rati onale of IWM, hence IWM can he linked to agroecosystem health, Ancilla ry effects of using IWM relate to other indicators such as diversity a nd energy efficiency, Linking IWM to agroecosystem health has at least two benefits: (1) predictive models within IWM can be incorporated in to larger agroecosystem models to explore hitherto unforseen problems or benefits of IWM, and (2) the relevance and benefits of IWM should b ecome clearer to the public and government agencies who otherwise migh t not examine how IWM promotes many of the larger social, economic and environmental goals being promulgated.