Landscape‐based geostatistics: a case study of the distribution of blue crab in Chesapeake Bay

Environmetrics - Tập 17 Số 6 - Trang 605-621 - 2006
Olaf P. Jensen1, Mary C. Christman2, Thomas J. Miller1
1University of Maryland Center for Environmental Science Chesapeake Biological Laboratory, P.O. Box 38, 1 Williams Street, Solomons, MD 20688, USA
2Deptartment of Animal and Avian Sciences, Animal Sciences Building Room no. 1117, University of Maryland, College Park, MD 20742, USA

Tóm tắt

AbstractGeostatistical techniques have gained widespread use in ecology and environmental science. Variograms are commonly used to describe and examine spatial autocorrelation, and kriging has become the method of choice for interpolating spatially‐autocorrelated variables. To date, most applications of geostatistics have defined the separation between sample points using simple Euclidean distance. In heterogeneous environments, however, certain landscape features may act as absolute or semi‐permeable barriers. This effective separation may be more accurately described by a measure of distance that accounts for the presence of barriers. Here we present an approach to geostatistics based on a lowest‐cost path (LCP) function, in which the cost of a path is a function of both the distance and the type of terrain crossed. The modified technique is applied to 13 years of survey data on blue crab abundance in Chesapeake Bay. Use of this landscape‐based distance metric significantly changed estimates of all three variogram parameters. In this case study, although local differences in kriging predictions were apparent, the use of the landscape‐based distance metric did not result in consistent improvements in kriging accuracy. Copyright © 2006 John Wiley & Sons, Ltd.

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Tài liệu tham khảo

Brown JH, 1998, Biogeography, 624

Cressie N, 1993, Statistics for Spatial Data, 900, 10.1002/9781119115151

10.2307/1353227

Draper NR, 1981, Applied Regression Analysis, 709

Forman RTT, 1986, Landscape Ecology, 619

10.1890/1540-9295(2005)003[0138:AGAFDS]2.0.CO;2

10.1139/f03-025

Gilpin ME, 1991, Metapopulation Dynamics: Empirical and Theoretical Investigations, 336

10.1086/279402

10.1080/07055900.1999.9649620

10.1577/T04-218.1

10.3354/meps299239

Journel AG, 1978, Mining Geostatistics, 600

Krivoruchko K, 2002, GeoENV IV—Geostatistics for Environmental Applications

10.1016/S0022-0981(97)00006-3

10.1002/env.588

MacArthur RH, 1967, The theory of island biogeography, 203

10.2307/1940596

10.1002/(SICI)1099-095X(199803/04)9:2<109::AID-ENV279>3.0.CO;2-L

10.1080/01621459.1992.10475181

Sharov A, 2003, Estimation of abundance and exploitation rate of blue crab (Callinectes sapidus) in Chesapeake Bay, Bulletin of Marine Science, 72, 543

10.1038/35079066

Torgersen CE, 2004, Gis/Spatial Analyses in Fishery and Aquatic Sciences, 405

Vølstad J, 2000, A method for estimating dredge catching efficiency for blue crabs. Callinectes sapidus, in Chesapeake Bay, Fishery Bulletin, 98, 410

Zhang CI, 1995, Abundance estimation of the Chesapeake Bay blue crab, Callinectes sapidus, Bulletin of the Korean Fisheries Society, 28, 708

Zhang CI, 1993, Estimation of dredge sampling efficiency for blue crabs in Chesapeake Bay, Bulletin of the Korean Fisheries Society, 26, 369

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Environmetrics

Tập 17 Số 6

605-621

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