Sampling to characterize landscape pattern
Identifieur interne : 001832 ( Main/Merge ); précédent : 001831; suivant : 001833Sampling to characterize landscape pattern
Auteurs : Carolyn T. Hunsaker [États-Unis] ; Robert V. O'Neill [États-Unis] ; Barbara L. Jackson [États-Unis] ; S. P. Timmins [États-Unis] ; Daniel A. Levine [États-Unis] ; Douglas J. Norton [États-Unis]Source :
- Landscape Ecology [ 0921-2973 ] ; 1994-09-01.
Abstract
Abstract: Current reseach suggests that metrics of landscape pattern may reflect ecological processes operating at different scales and may provide an appropriate indicator for monitoring regional ecological changes. This paper examines the extent to which a 1/16 areal subset of the landscape using equally spaced 40-km2 hexagons can characterize the spatial extent of land cover types and landscape pattern (number of types of edges, patch shape complexity, dominance, and contagion). For 200-m resolution data the hexagon subset gives a reasonable estimate of overall landscape cover but may not be adequate for monitoring uncommon land cover types such as wetlands. For agriculture and forest, their proportion of the full landscape units is only outside the 95% confidence interval of the hexagon estimate 4–8% of the time, whereas the proportions for wetland and barren areas are outside the confidence interval 11–34% of the time. The hexagon subset also does not appear to be adequate as the sole basis for monitoring landscape pattern. The values for contagion, dominance, and shape complexity calculated on the full landscape units are outside the 95% confidence interval of the hexagon estimate 27–76% of the time. Other statistical analyses include regressions between full landscape and hexagon subsets, mean differences and standard errors along with tests on number of positive and negative values, and percent relative error of hexagon estimates. Although the research described in this article has been funded in part by the U.S. Environmental Protection Agency, under Interagency Agreement DW89934921-01-0 with the U.S. Department of Energy under Contract DE-AC05-84OR21400 with Martin Marietta Energy Systems, Inc., it has not been subjected to Agency review. Therefore, it does not necessarily reflect the views of the Agency. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.
Url:
DOI: 10.1007/BF00134748
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Jackson</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Computing Applications Division, Oak Ridge National Laboratory, 37831-6038, Oak Ridge, TN</wicri:regionArea><placeName><region type="state">Tennessee</region></placeName></affiliation></author><author><name sortKey="Timmins, S P" sort="Timmins, S P" uniqKey="Timmins S" first="S. P." last="Timmins">S. P. Timmins</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Analysas Corporation, 37830, Oak Ridge, TN</wicri:regionArea><placeName><region type="state">Tennessee</region></placeName></affiliation></author><author><name sortKey="Levine, Daniel A" sort="Levine, Daniel A" uniqKey="Levine D" first="Daniel A." last="Levine">Daniel A. 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Norton</name><affiliation wicri:level="1"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Office of Water, U.S. Environmental Protection Agency, 20460, Washington, D.C.</wicri:regionArea><wicri:noRegion>D.C.</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Landscape Ecology</title><title level="j" type="abbrev">Landscape Ecol</title><idno type="ISSN">0921-2973</idno><idno type="eISSN">1572-9761</idno><imprint><publisher>Kluwer Academic Publishers</publisher><pubPlace>Dordrecht</pubPlace><date type="published" when="1994-09-01">1994-09-01</date><biblScope unit="volume">9</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="207">207</biblScope><biblScope unit="page" to="226">226</biblScope></imprint><idno type="ISSN">0921-2973</idno></series><idno type="istex">09A9D6603FF4A62C9D7F444FB8779F57D268AC28</idno><idno type="DOI">10.1007/BF00134748</idno><idno type="ArticleID">BF00134748</idno><idno type="ArticleID">Art4</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0921-2973</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Current reseach suggests that metrics of landscape pattern may reflect ecological processes operating at different scales and may provide an appropriate indicator for monitoring regional ecological changes. This paper examines the extent to which a 1/16 areal subset of the landscape using equally spaced 40-km2 hexagons can characterize the spatial extent of land cover types and landscape pattern (number of types of edges, patch shape complexity, dominance, and contagion). For 200-m resolution data the hexagon subset gives a reasonable estimate of overall landscape cover but may not be adequate for monitoring uncommon land cover types such as wetlands. For agriculture and forest, their proportion of the full landscape units is only outside the 95% confidence interval of the hexagon estimate 4–8% of the time, whereas the proportions for wetland and barren areas are outside the confidence interval 11–34% of the time. The hexagon subset also does not appear to be adequate as the sole basis for monitoring landscape pattern. The values for contagion, dominance, and shape complexity calculated on the full landscape units are outside the 95% confidence interval of the hexagon estimate 27–76% of the time. Other statistical analyses include regressions between full landscape and hexagon subsets, mean differences and standard errors along with tests on number of positive and negative values, and percent relative error of hexagon estimates. Although the research described in this article has been funded in part by the U.S. Environmental Protection Agency, under Interagency Agreement DW89934921-01-0 with the U.S. Department of Energy under Contract DE-AC05-84OR21400 with Martin Marietta Energy Systems, Inc., it has not been subjected to Agency review. Therefore, it does not necessarily reflect the views of the Agency. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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