کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6407813 | 1629205 | 2016 | 9 صفحه PDF | دانلود رایگان |
- Wavelet coherence successfully unraveled scale- and location-specific correlation.
- Scale-location relationships of Cu or Zn with influencing factors were similar.
- The relationship of Fe with environmental factors was local at different scales.
- The correlation of Mn with SOM was significant at scales >Â 32Â km at all locations.
Efficient scale- and location-specific soil micronutrients management is important for crop yield and environmental quality. This usually requires knowledge on scale- and location-specific control of soil micronutrients, which is not readily available from the traditional correlation analysis. The objective of this study was to analyze the scale- and location-specific relationships between surface (0-20Â cm) soil available micronutrients (Cu, Fe, Mn, and Zn) and environmental factors by wavelet coherency analysis. For this purpose, soil available micronutrients, soil pH, soil organic matter (SOM), and topographic factors were obtained at 1Â km interval along a 117Â km-transect in the arable land of Fen River basin, China. The results showed that Cu, Mn, and Zn were positively correlated with SOM at scales 32-40Â km at all locations, while Fe was positively correlated with SOM at scales 7-16Â km at locations 75-117Â km. Soil pH had negative influences on Cu and Zn at scales 25-40Â km at all locations and on Fe at scales 12-21Â km at locations 1-64Â km. Both Cu and Zn had significantly negative relationships with aspect at scales 15-32Â km at all locations, which cannot be detected at the sampling scale by the traditional correlation analysis. Wetness index had a significant impact on the distribution of Zn at scales 24-38Â km at all locations and at scales 14-24Â km at locations 1-60Â km. Although elevation and slope showed significant correlations with Cu, Mn, and Zn at the sampling scale, wavelet coherence did not show any significant correlations in the scale-location domain. Therefore, the relationships of soil available micronutrients and influencing factors were scale- and location-dependent, which implies that different management practices are needed at different scales and locations to improve the global level of soil available micronutrients in the arable land of Fen River basin.
Journal: CATENA - Volume 147, December 2016, Pages 764-772