Abstract
Soil phosphorus(P)plays a vital role in both ecological and agricultural ecosystems,where total P(TP)in soil serves as a crucial indicator of soil fertility and quality.Most of the studies covered in the literature employ a single or narrow range of soil databases,which largely overlooks the impact of utilizing multiple mapping scales in estimating soil TP,especially in hilly topographies.In this study,Fujian Province,a subtropical hilly region along China's southeast coast covered by a complex topographic environment,was taken as a case study.The influence of the mapping scale on soil TP storage(TPS)estimation was analyzed using six digital soil databases that were derived from 3 082 unique soil profiles at different mapping scales,i.e.,1∶50 000(S5),1∶200 000(S20),1∶500 000(S50),1∶1 000 000(S100),1∶4 000 000(S400),and 1∶10 000 000(S1000).The regional TPS in the surface soil(0-20 cm)based on the S5.S20.S50,S100,S400,and S1000 soil maps was 20.72,22.17,23.06.23.05,22.04,and 23.48 Tg,respectively,and the corresponding TPS at 0-100 cm soil depth was 80.98,80.71,85.00,84.03,82.96,and 86.72 Tg,respectively.By comparing soil TPS in the S20 to S1000 maps to that in the S5 map,the relative deviations were 6.37％-13.32％for 0-20 cm and 0.33％-7.09％for 0-100 cm.Moreover,since the S20 map had the lowest relative deviation among different mapping scales as compared to S5,it could provide additional soil information and a richer soil environment than other smaller mapping scales.Our results also revealed that many uncertainties in soil TPS estimation originated from the lack of detailed soil information,i.e.,representation and spatial variations among different soil types.From the time and labor perspectives,our work provides useful guidelines to identify the appropriate mapping scale for estimating regional soil TPS in areas like Fujian Province in subtropical China or other places with similar complex topographies.Moreover,it is of tremendous importance to accurately estimate soil TPS to ensure ecosystem stability and sustainable agricultural development,especially for regional decision-making and management of phosphate fertilizer application amounts.
基金项目
国家自然科学基金(41971050)
国家自然科学基金(42207271)
福建省自然科学基金(2022J05036)
Open Project Program of the State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute o(LAPC-KF-2022-08)
万方数据