http://socictopen.socict.org/files/original/16d1bf2eef272c52cc00aab1ec87a899.pdf d315bcc1ca2667b04d508ca6880c6294 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Simulation Models on the Ecology and Management of Arable Weeds: Structure, Quantitative Insights, and Applications Creator An entity primarily responsible for making the resource Muthukumar V. Bagavathiannan, Hugh J. Beckie, Guillermo R. Chantre, Jose L. Gonzalez-Andujar, Ramon G. Leon, Paul Neve, Santiago L. Poggio, Brian J. Schutte, Gayle J. Somerville, Rodrigo Werle, Rene Van Acker Description An account of the resource In weed science and management, models are important and can be used to better understand what has occurred in management scenarios, to predict what will happen and to evaluate the outcomes of control methods. To-date, perspectives on and the understanding of weed models have been disjointed, especially in terms of how they have been applied to advance weed science and management. This paper presents a general overview of the nature and application of a full range of simulation models on the ecology, biology, and management of arable weeds, and how they have been used to provide insights and directions for decision making when long-term weed population trajectories are impractical to be determined using field experimentation. While research on weed biology and ecology has gained momentum over the past four decades, especially for species with high risk for herbicide resistance evolution, knowledge gaps still exist for several life cycle parameters for many agriculturally important weed species. More research efforts should be invested in filling these knowledge gaps, which will lead to better models and ultimately better inform weed management decision making. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Gene flow, Weed population dynamics, crop weed competition, decision support tools, herbicide resistance, weed seedling emergence Identifier An unambiguous reference to the resource within a given context 10.3390/agronomy10101611 Source A related resource from which the described resource is derived Agronomy Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agriculture Relation A related resource <a href="https://www.mdpi.com/2073-4395/10/10/1611" target="_blank" rel="noreferrer noopener">https://www.mdpi.com/2073-4395/10/10/1611</a>