2000
DOI: 10.1016/s0378-1127(00)00416-3
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Soil–landscape resource assessment for plantations — a conceptual framework towards an explicit multi-scale approach

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Cited by 24 publications
(18 citation statements)
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“…Others have reported on the influence of relief curve lines on crop yields (Thwaites and Slater, 2000;Manning et al, 2001;Zebarth et al, 2002;Kravchenko and Bullock, 2002;Norton et al, 2003;Si and Farrell, 2004;Razaei and Gilkes, 2005;Martín et al, 2005;Zhang and Zhang, 2005;Terra et al, 2006;Rees et al, 2007). In general, independent of the use of curvature models, the studies that determine the soil quality in orange cultures present several chemical, physical, and hydrologic attributes.…”
Section: Introductionmentioning
confidence: 99%
“…Others have reported on the influence of relief curve lines on crop yields (Thwaites and Slater, 2000;Manning et al, 2001;Zebarth et al, 2002;Kravchenko and Bullock, 2002;Norton et al, 2003;Si and Farrell, 2004;Razaei and Gilkes, 2005;Martín et al, 2005;Zhang and Zhang, 2005;Terra et al, 2006;Rees et al, 2007). In general, independent of the use of curvature models, the studies that determine the soil quality in orange cultures present several chemical, physical, and hydrologic attributes.…”
Section: Introductionmentioning
confidence: 99%
“…Segmentation procedures have been used to examine soil-landform relationships in several land uses and types including various agricultural systems (Norton et al, 2003;Zebarth et al, 2002;Manning et al, 2001), grassland and grazing lands (Landi et al, 2004), and forest plantations (Thwaites and Slater, 2000;Enoki et al, 1996). In these cases, landform segmentation was shown to be a useful approach in landscape modeling, showing consistent spatial trends and accounting for significant portions of the spatial variation in soil and other ecosystem properties.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis of agriculture effects through this systemic approach, together with other analytic tools that consider the spatial variability (e.g. geostatistics, GIS), will allow making a more precise diagnosis of soil condition changes in agricultural systems (Thwaites and Slater, 2000). The increased use of these methods may enhance the capacity of extraction and interpretation of data from soil analysis (Sena et al, 2002).…”
Section: Resultsmentioning
confidence: 99%