Sampling procedures for throughfall monitoring: A simulation study

Water Resources Research

Volumn 46, Issue 1, 2010, Pages

  Zimmermann, Beate ^a   Zimmermann, Alexander ^b   Lark, Richard Murray ^c   Elsenbeer, Helmut ^a,b  

^a SMITHSONIAN TROPICAL RESEARCH INSTITUTE   (Panama)

^b UNIVERSITY OF POTSDAM   (Germany)

^c ROTHAMSTED RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; EMPIRICAL STUDIES; EVENT-BASED; HETEROGENEOUS CANOPY; INPUT PARAMETER; MANUAL HANDLING; RANDOM SAMPLING; RELATIVE ERRORS; SAMPLE SIZES; SAMPLING DESIGN; SAMPLING PROCEDURES; SAMPLING SCHEMES; SIMPLE RANDOM SAMPLING; SIMULATION STUDIES; STATISTICAL MODELS; THROUGHFALL;

STOCHASTIC MODELS; UNCERTAINTY ANALYSIS;

SAMPLING;

DATA SET; INTERCEPTION; SAMPLING; STATISTICAL ANALYSIS; THROUGHFALL;

EID: 76149111134     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR007776     Document Type: Article

References (71)

1. Bárdossy, A., and Z. W. Kundzewicz (1990), Geostatistical methods for detection of outliers in groundwater quality spatial fields, J. Hydrol., 115, 343-359, doi:10.1016/0022-1694(90)90213-H.
2. Becker, R. A., J. M. Chambers, and A. R. Wilks (1988), The New S Language, Wadsworth, Pacific Grove, Calif.
3. Bellot, J., and A. Escarre (1998), Stemflow and throughfall determination in a resprouted Mediterranean holm-oak forest, Ann. Sci. For., 55, 847-865, doi:10.1051/forest:19980708.
4. Bellot, J., A. A ́ vila, and A. Rodrigo (1999), Throughfall and stemflow, in Ecology of Mediterranean Evergreen Oak Forests, edited by F. Roda et al., pp. 209- 222, Springer, Berlin.
5. Box, G. E. P., and D. R. Cox (1964), An analysis of transformations, J. R. Stat. Soc. Ser. B, 26, 211-246.
6. Bruijnzeel, L. A., and K. F. Wiersum (1987), Rainfall interception by a young Acacia Auriculiformis (A. Cunn) plantation forest in west Java, Indonesia: Application of Gash's analytical model, Hydrol. Processes, 1, 309-319, doi:10.1002/hyp.3360010402.
7. Brys, G., M. Hubert, and A. Struyf (2003), A comparison of some new measures of skewness, in Developments in Robust Statistics, edited by R. Dutter et al., pp. 98- 113, Physica, Heidelberg, Germany.
8. Carlyle-Moses, D. E., J. S. Flores Laureano, and A. G. Price (2004), Throughfall and throughfall spatial variability in Madrean oak forest communities of northeastern Mexico, J. Hydrol., 297, 124-135, doi:10. 1016/j.jhydrol.2004.04.007.
9. Chilès, J.-P., and P. Delfiner (1999), Geostatistics: Modeling Spatial Uncertainty, John Wiley, New York.
10. Cressie, N., and D. Hawkins (1980), Robust estimation of the variogram, Math. Geol., 12, 115-125, doi:10.1007/BF01035243.
11. Cressie, N. A. C. (1993), Statistics for Spatial Data, rev. ed., Wiley, New York.
12. Croat, T. B. (1978), Flora of Barro Colorado Island, 943 pp., Stanford Univ. Press, Stanford, Calif.
13. Crockford, R. H., and D. P. Richardson (1990), Partitioning of rainfall in a eucalypt forest and pine plantation in southeastern Australia: Part I. Throughfall measurement in a eucalypt forest: Effect of method and species composition, Hydrol. Process., 4, 131-144, doi:10.1002/hyp. 3360040204.
14. De Gruijter, J. J., D. J. Brus, M. F. P. Bierkens, and M. Knotters (2006), Sampling for Natural Resource Monitoring, 332 pp., Springer, Berlin.
15. Dowd, P. A. (1984), The variogram and kriging: Robust and resistant estimators, in Geostatistics for Natural Resources Characterization, edited by G. Verly et al., pp. 91- 106, D. Reidel, Dordrecht, Netherlands.
16. Fleischbein, K., W. Wilcke, R. Goller, J. Boy, C. Valarezo, W. Zech, and K. Knoblich (2005), Rainfall interception in a lower montane forest in Ecuador: Effects of canopy properties, Hydrol. Processes, 19, 1355-1371, doi:10.1002/hyp.5562. (Pubitemid 40587226)
17. Foster, R. B., and N. V. L. Brokaw (1982), Structure and history of the vegetation of Barro Colorado Island, in The Ecology of a Tropical Forest: Seasonal Rhythms and Long Term Changes, edited by E. G. Leigh et al., pp. 67- 81, Smithson. Inst., Washington, D. C.
18. Gash, J. H. C., C. R. Lloyd, and G. Lachaud (1995), Estimating sparse forest rainfall interception with an analytical model, J. Hydrol., 170, 79-86, doi:10.1016/0022-1694(95)02697-N.
19. Genton, M. G. (1998), Highly robust variogram estimation, Math. Geol., 30, 213-221, doi:10.1023/A:1021728614555.
20. Germer, S., H. Elsenbeer, and J. M. Moraes (2006), Throughfall and temporal trends of rainfall redistribution in an open tropical rainforest, southwestern Amazonia (Rondônia, Brazil), Hydrol. Earth Syst. Sci., 10, 383-393.
21. Helvey, J. D., and J. H. Patric (1965), Canopy and litter interception of rainfall by hardwoods of eastern United States, Water Resour. Res., 1, 193-206, doi:10.1029/WR001i002p00193.
22. Herbst, M., P. T. W. Rosier, D. D. McNeil, R. J. Harding, and D. J. Gowing (2008), Seasonal variability of interception evaporation from the canopy of a mixed deciduous forest, Agric. For. Meteorol., 148, 1655-1667, doi:10.1016/j.agrformet.2008.05.011.
23. Holwerda, F., F. N. Scatena, and L. A. Bruijnzeel (2006), Throughfall in a Puerto Rican lower montane rain forest: A comparison of sampling strategies, J. Hydrol., 327, 592-602, doi:10.1016/j.jhydrol.2005. 12.014. (Pubitemid 44093550)
24. Hutjes, R. W. A., A. Wierda, and A. W. L. Veen (1990), Rainfall interception in the Tai Forest, Ivory Coast: Application of two simulation models to a humid tropical system, J. Hydrol., 114, 259-275, doi:10.1016/ 0022-1694(90)90060-B.
25. Jost, G., G. B. M. Heuvelink, and A. Papritz (2005), Analysing the spacetime distribution of soil water storage of a forest ecosystem using spatiotemporal kriging, Geoderma, 128, 258-273, doi:10.1016/j.geoderma. 2005.04.008.
26. Keim, R. F., A. E. Skaugset, and M. Weiler (2005), Temporal persistence of spatial patterns in throughfall, J. Hydrol., 314, 263-274, doi:10.1016/ j.jhydrol.2005.03.021.
27. Kimmins, J. P. (1973), Some statistical aspects of sampling throughfall precipitation in nutrient cycling studies in British Columbian coastal forests, Ecology, 54, 1008-1019, doi:10.2307/1935567.
28. Kostelnik, K. M., J. A. Lynch, J. W. Grimm, and E. S. Corbett (1989), Sample size requirements for estimation of throughfall chemistry beneath a mixed hardwood forest, J. Environ. Qual., 18, 274-280.
29. Lankreijer, H. J. M., M. J. Hendriks, and W. Klaassen (1993), A comparison of models simulating rainfall interception of forests, Agric. For. Meteorol., 64, 187-199, doi:10.1016/0168-1923(93)90028-G.
30. Lark, R. M. (2000), A comparison of some robust estimators of the variogram for use in soil survey, Eur. J. Soil Sci., 51, 137-157, doi:10.1046/ j.1365-2389.2000.00280.x.
31. Lark, R. M. (2002), Modelling complex soil properties as contaminated regionalized variables, Geoderma, 106, 173-190, doi:10.1016/S0016-7061(01)00123- 9. (Pubitemid 34299625)
32. Lark, R. M., B. R. Cullis, and S. J. Welham (2006), On spatial prediction of soil properties in the presence of a spatial trend: The empirical best linear unbiased predictor (E-BLUP) with REML, Eur. J. Soil Sci., 57, 787-799, doi:10.1111/j.1365-2389.2005.00768.x. (Pubitemid 44789694)
33. Lawrence, G. B., and I. J. Fernandez (1993), A reassessment of areal variability of throughfall deposition measurements, Ecol. Appl., 3, 473-480, doi:10.2307/1941916.
34. Levia, D. F., and E. E. Frost (2006), Variability of throughfall volume and solute inputs in wooded ecosystems, Prog. Phys. Geogr., 30, 605-632, doi:10.1177/0309133306071145. (Pubitemid 46445407)
35. Leyton, L., E. R. C. Reynolds, and F. B. Thompson (1967), Rainfall interception in forest and moorland, in International Symposium on Forest Hydrology, edited by W. E. Sopper and H. W. Lull, pp. 163-178, Pergamon, Oxford, U. K.
36. Lin, T. C., S. P. Hamburg, H. B. King, and Y. J. Hsia (1997), Spatial variability of throughfall in a subtropical rain forest in Taiwan, J. Environ. Qual., 26, 172-180.
37. Link, T. E., M. Unsworth, and D. Marks (2004), The dynamics of rainfall interception by a seasonal temperate rainforest, Agric. For. Meteorol., 124, 171-191, doi:10.1016/j.agrformet.2004.01.010. (Pubitemid 38946013)
38. Liu, S. (2001), Evaluation of the Liu model for predicting rainfall interception in forests world-wide, Hydrol. Processes, 15, 2341-2360, doi:10. 1002/hyp.264.
39. Lloyd, C. R., and A. d. O. Marques (1988), Spatial variability of throughfall and stemflow measurements in Amazonian rainforest, Agric. For. Meteorol., 42, 63-73, doi:10.1016/0168-1923(88)90067-6.
40. Lloyd, C. R., J. H. C. Gash, W. J. Shuttleworth, and A. d. O. Marques (1988), The measurement and modeling of rainfall interception by Amazonian rainforest, Agric. For. Meteorol., 43, 277-294, doi:10.1016/ 0168-1923(88)90055-X.
41. Loustau, D., P. Berbigier, and A. Granier (1992a), Interception loss, throughfall and stemflow in a maritime pine stand. Part II. An application of Gash's analytical model of interception, J. Hydrol., 138, 469-485, doi:10.1016/0022-1694(92)90131-E.
42. Loustau, D., P. Berbigier, A. Granier, and F. E. H. Moussa (1992b), Interception loss, throughfall and stemflow in a maritime pine stand. Part I. Variability of throughfall and stemflow beneath the pine canopy, J. Hydrol., 138, 449-467, doi:10.1016/0022-1694(92)90130-N.
43. Marin, C. T., W. Bouten, and J. Sevink (2000), Gross rainfall and its partitioning into throughfall, stemflow and evaporation of intercepted water in four forest ecosystems in western Amazonia, J. Hydrol., 237, 40-57, doi:10.1016/S0022-1694(00)00301-2.
44. Matheron, G. (1962), Traité de Géostatistique Appliqué, vol.1, Bur. de Rech. Géol. et Min., Paris.
45. McJannet, D., J. Wallace, and P. Reddell (2007), Precipitation interception in Australian tropical rainforests: Part I. Measurement of stemflow, throughfall and cloud interception, Hydrol. Processes, 21, 1692-1702, doi:10.1002/hyp.6347. (Pubitemid 47029404)
46. Meklit, T., M. Van Meirvenne, S. Verstraete, J. Bonroy, and F. Tack (2008), Combining marginal and spatial outliers identification to optimize the mapping of the regional geochemical baseline concentration of soil heavy metals, Geoderma, 148, 413-420, doi:10.1016/j.geoderma.2008. 11.014.
47. Möttönen, M., E. Järvinen, T. J. Hokkanen, T. Kuuluvainen, and R. Ohtonen (1999), Spatial distribution of soil ergosterol in the organic layer of a mature Scots pine (Pinus sylvestris L.) forest, Soil Biol. Biochem., 31, 503-516, doi:10.1016/S0038-0717(98)00122-9. (Pubitemid 29139139)
48. Neal, C. (1990), Comments on ''Sample size requirements for estimation of throughfall chemistry beneath a mixed hardwood forest,'' J. Environ. Qual., 19, 633-634.
49. Nieschulze, J., S. Erasmi, J. Dietz, and D. Hoelscher (2009), Satellite-based prediction of rainfall interception by tropical forest stands of a humandominated landscape in central Sulawesi, Indonesia, J. Hydrol., 364, 227-235, doi:10.1016/j.jhydrol.2008.10.024.
50. Papritz, A., and R. Webster (1995), Estimating temporal change in soil monitoring: PartII. Sampling from simulated fields, Eur. J. Soil Sci., 46, 13-27, doi:10.1111/j.1365-2389.1995.tb01809.x.
51. Pardo-Igúzquiza, E. (1998), Maximum likelihood estimation of spatial covariance parameters, Math. Geol., 30, 95-108, doi:10.1023/A: 1021765405952.
52. Price, A. G., and D. E. Carlyle-Moses (2003), Measurement and modeling of growing- season canopy water fluxes in a mature mixed deciduous forest stand, southern Ontario, Canada, Agric. For. Meteorol., 119, 69-85, doi:10.1016/S0168-1923(03)00117-5. (Pubitemid 37491838)
53. Puckett, L. J. (1991), Spatial variability and collector requirements for sampling throughfall volume and chemistry under a mixed hardwood canopy, Can. J. For. Res., 21, 1581-1588, doi:10.1139/x91-220.
54. Rawlins, B. G., R. M. Lark, K. E. O'Donnell, A. M. Tye, and T. R. Lister (2005), The assessment of point and diffuse metal pollution of soils from an urban geochemical survey of Sheffield, England, Soil Use Manage., 21, 353-362, doi:10.1079/SUM2005335.
55. Reynolds, B., and C. Neal (1991), Trough versus funnel collectors for measuring throughfall volumes, J. Environ. Qual., 20, 518-521.
56. Rodrigo, A., and A. A ̀ vila (2001), Influence of sampling size in the estimation of mean throughfall in two Mediterranean holm oak forests, J. Hydrol., 243, 216-227, doi:10.1016/S0022-1694(00)00412-1. (Pubitemid 32207658)
57. Schellekens, J., F. N. Scatena, L. A. Bruijnzeel, and A. J. Wickel (1999), Modelling rainfall interception by a lowland tropical rain forest in northeastern Puerto Rico, J. Hydrol., 225, 168-184, doi:10.1016/S0022-1694(99) 00157-2.
58. Schlather, M. (2001), Simulation and analysis of random fields, R News, 1, 18-20.
59. Sellers, P. J., W. J. Shuttleworth, J. L. Dorman, A. Dalcher, and J. M. Roberts (1989), Calibrating the simple biosphere model for Amazonian tropical forest using field and remote sensing data. Part 1: Average calibration with field data, J. Appl. Meteorol., 28, 727- 759, doi:10.1175/ 1520-0450(1989)0282. 0.CO;2.
60. Silverman, B. W. (1978), Choosing the window width when estimating a density, Biometrika, 65, 1-11, doi:10.1093/biomet/65.1.1.
61. Silverman, B. W. (1986), Density Estimation for Statistics and Data Analysis, Chapman and Hall, London.
62. Staelens, J., A. D. Schrijver, K. Verheyen, and N. E. C. Verhoest (2006), Spatial variability and temporal stability of throughfall water under a dominant beech (Fagus sylvatica L.) tree in relationship to canopy cover, J. Hydrol., 330, 651-662, doi:10.1016/j.jhydrol.2006.04.032. (Pubitemid 44573201)
63. Thimonier, A. (1998), Measurement of atmospheric deposition under forest canopies: Some recommendations for equipment and sampling design, Environ. Monit. Assess., 52, 353-387, doi:10.1023/A:1005853429853. (Pubitemid 28372133)
64. Viville, D., P. Biron, A. Granier, E. Dambrine, and A. Probst (1993), Interception in a mountains declining spruce stand in Strengbach catchment (Vosges, France), J. Hydrol., 144, 273-282, doi:10.1016/0022-1694(93)90175-9.
65. Vrugt, J. A., S. C. Dekker, and W. Bouten (2003), Identification of rainfall interception model parameters from measurements of throughfall and forest canopy storage, Water Resour. Res., 39(9), 1251, doi:10.1029/ 2003WR002013.
66. Webster, R., and M. A. Oliver (2007), Geostatistics for Environmental Scientists, 2nd ed., John Wiley, Chichester, U. K.
67. Whelan, M. J., L. J. Sanger, M. Baker, and J. M. Anderson (1998), Spatial patterns of throughfall and mineral ion deposition in a lowland Norway spruce (Picea abies) plantation at the plot scale, Atmos. Environ., 32, 3493-3501, doi:10.1016/S1352-2310(98)00054-5. (Pubitemid 28448718)
68. Zimmermann, A., W. Wilcke, and H. Elsenbeer (2007), Spatial and temporal patterns of throughfall quantity and quality in a tropical montane forest in Ecuador, J. Hydrol., 343, 80-96, doi:10.1016/j.jhydrol.2007.06.012. (Pubitemid 47259493)
69. Zimmermann, A., S. Germer, C. Neill, A. V. Krusche, and H. Elsenbeer (2008), Spatio-temporal patterns of throughfall and solute deposition in an open tropical rain forest, J. Hydrol., 360, 87-102, doi:10.1016/ j.jhydrol.2008.07.028.
70. Zimmermann, A., B. Zimmermann, and H. Elsenbeer (2009), Rainfall redistribution in a tropical forest: Spatial and temporal patterns, Water Resour. Res., 45, W11413, doi:10.1029/2008WR007470.
71. Zimmermann, B., E. Zehe, N. K. Hartmann, and H. Elsenbeer (2008), Analyzing spatial data: An assessment of assumptions, new methods, and uncertainty using soil hydraulic data, Water Resour. Res., 44, W10408, doi:10.1029/2007WR006604.