A primer on evaluation and use of natural resource information for corporate data bases

Lund, Henrik; Thomas, Charles E.; Bailey, Robert G.; Brickell, James E.; Clerke, William H.; Cunningham, R. S.; Czaplewski, Raymond L.; S, DeLost; Evanisko, Fran; Greenlee, Harold R.; Howard, Paul; Moore, Randy; Ragus, Jerry F.; Spears, Brian M.; Valentine, Wayne

doi:10.2737/wo-gtr-62

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Research focusing on the design and implementation of natural resources information systems has expanded substantially [5,10,14,18,19,22,23,31,34,37,47]. Several studies stressing Mediterranean ecosystem management [1, 3, 7, 11, 15, 16, 20, 21, 24, 28-30, 35, 36, 42] have either focused on the data acquisition stage or on the generation of knowledge about specific issues through data interpretation.…”

Section: Introductionmentioning

confidence: 99%

A framework for data quality for Mediterranean sustainable ecosystem management

Ribeiro¹,

Borges²,

Oliveira³

2004

Ann. For. Sci.

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-Information requirements for Mediterranean ecosystem management have vastly increased and yet a framework for data quality is not available. This article focuses on data quality issues to enhance Mediterranean natural resources management planning. A framework to achieve high data quality standards is presented. Components of a natural resources data quality framework are identified and characterized. Emphasis is on the design of a data lifecycle within an information system such that data quality categories are accounted for along the stages of data acquisition, storage, organization and interpretation. Mediterranean forest ecosystems extending over circa 40 800 ha in Southern Portugal were used as test cases. Results from the application of the proposed framework to data acquired in 397 forest inventory plots, in 141 wildlife transects, in 157 bird observation points and in 138 questionnaires to landowners are reported. Results suggest that the framework does effectively address current Mediterranean ecosystem management data quality needs. data quality / information system / Mediterranean ecosystem management Résumé -Un cadre pour des données de qualité pour la gestion durable de l'écosystème méditerranéen. Bien que les besoins d'information nécessaires à la gestion de l'écosystème méditerranéen se soient accrus, il n'existe pas de cadre qui permette de garantir la qualité des données nécessaires à une gestion durable. Cet article se focalise sur la qualité des données permettant une amélioration de la planification de la gestion des ressources naturelles méditerranéennes. Un cadre permettant d'obtenir des données de qualité normées est présenté. Les composantes de ce cadre sont identifiées et caractérisées. L'accent est mis sur la conception d'un cycle de vie des données dans un système d'information, de telle façon que les catégories de qualité des données soient expliquées dans le cadre des étapes d'acquisition, de stockage, d'organisation et d'interprétation. Un écosystème forestier méditerranéen qui occupe approximativement 40 800 ha dans le Sud du Portugal a été utilisé comme test. Les résultats de l'application du cadre proposé et concernant les données recueillies dans 397 placettes forestières, dans 141 transects de faune et flore, dans 157 points de surveillance des oiseaux et 138 questionnaires de propriétaires forestiers sont rapportés. Les résultats rapportés suggèrent que le cadre proposé répond aux nécessités de qualité des données nécessaires pour la gestion de l'écosystème méditerranéen. données de qualité / système d'information / gestion de l'écosystème méditerranéen

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Section: Introductionmentioning

confidence: 99%

A framework for data quality for Mediterranean sustainable ecosystem management

Ribeiro¹,

Borges²,

Oliveira³

2004

Ann. For. Sci.

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Adequate data of known accuracy are critical to advancing the field of landscape ecology

Iverson

2007

Key Topics in Landscape Ecology

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The science oflandscape ecology is especially dependent on high-quality data because often it focuses on broad-scale patterns and processes and deals in the long term. Likewise, high quality data are necessary as the basis for building policy. When issues, such as climate change, can induce international political and economic consequences, it becomes clear that providing high-quality, long-term data is paramount. It is not an accident tl~at this chapter is positioned near the front of this book. Of the priority research topics presented in this boolc, this is the most pervasive across other topics because the availability ofhigh-quality data Iimits progress in other realms. Be it historic land-use data needed to unclerstand the dynamics of land-use change, the independent data of varying scales needed to assess scaling phenomena or test new metrics, the socioeconomic~cultural data needed to integrate humans into landscape ecology, or the biological and population data needed to evaluate ecological flows, the quality of raw data, metadata, and derived data products is critical to the core of landscape ecology. For each of these key topics and perspectives, the availability and quality of data will affect research results and practical recommendations. Data advances in past two decadesIt has been two decades since the 1983 worlrshop that many say established the landscape ecology field in North America (Risser et al. 1984). It was attended by many who have and still contribute to the field (e.g.,

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