Spatial dynamics of crop yield provide useful information for improving the production. High sensitivity of crop growth models to uncertainties in input factors and parameters and relatively coarse parameterizations in conventional remote sensing(RS) approaches limited their applications over broad regions. In this study, a process-based and remote sensing driven crop yield model for maize(PRYM–Maize) was developed to estimate regional maize yield, and it was implemented using eight data-model coupling strategies(DMCSs) over the Northeast China Plain(NECP). Simulations under eight DMCSs were validated against the prefecture-level statistics(2010–2012) reported by National Bureau of Statistics of China, and inter-compared. The 3-year averaged result could give more robust estimate than the yearly simulation for maize yield over space. A 3-year averaged validation showed that prefecture-level estimates by PRYM–Maize under DMCS8, which coupled with the development stage(DVS)-based grain-filling algorithm and RS phenology information and leaf area index(LAI), had higher correlation(R, 0.61) and smaller root mean standard error(RMSE, 1.33 t ha~(–1)) with the statistics than did PRYM–Maize under other DMCSs. The result also demonstrated that DVS-based grain-filling algorithm worked better for maize yield than did the harvest index(HI)-based method, and both RS phenology information and LAI worked for improving regional maize yield estimate. These results demonstrate that the developed PRYM–Maize under DMCS8 gives reasonable estimates for maize yield and provides scientific basis facilitating the understanding the spatial variations of maize yield over the NECP. 相似文献
基于已有文献数据讨论了施用中微量元素对番茄单果质量、产量和品质影响的程度,以期为科学施用中微量元素肥料提供依据。研究数据来源于中国知网、万方数据和Web of science,以不施用中微量元素为对照,选择反应比作为效应值,通过Meta分析方法综合分析施用中微量元素对番茄产量和品质的作用效果,并分亚组进行讨论分析。整合分析发现,施用中微量元素能够显著提高番茄果实单果质量和产量,提高比率分别为5.8%、10.2%;显著提高了果实中维生素C和番茄红素含量,提高比率分别为26.3%、69.4%;显著降低了果实中硝酸盐含量达6.7%。综上,施用中微量元素能够显著提高番茄果实单果质量、产量和维生素C含量、番茄红素含量等品质指标,叶面喷施效果优于土壤施用,微量元素效果优于中量元素,且中微量元素施用应以平衡施肥为前提。 相似文献
Journal of Soils and Sediments - Cd-contaminated soil is a common environmental problem. Stabilization is an effective way of in situ remediation for Cd contamination in soils, but there is a lack... 相似文献
The suppression effect of a sandy soil interlayer on topsoil enrichment of salt ions was investigated. However, whether this suppression effect was enhanced by surface mulching was little documented. The objectives of this study were to compare the suppression effects under different materials mulching, and to investigate an innovative method to suppress the soil salt ions down-to-top enrichment.
Materials and methods
In this study, the sandy soil layer was pre-positioned at 60–100 cm depth in a salt-contaminated site in advance, achieving the suppression effect on surface enrichment of salt components as expected. Three treatments were herein designed as bare field (CK), plastic film mulching (PM), and maize straw mulching (SM) to examine the dynamics of water and salt movement across soil profiles during the summer with strong evaporation.
Results and discussions
Results showed that total salt content was increased by 21.3 and 8.0% in CK and SM respectively, while decreased by 24.9% in PM at the end of strong evaporation period, comparing with the beginning. Thus, surface mulching further strengthened this suppression effect, but PM displayed better performance than SM did. The data also demonstrated that vertical transport of soil water was much restrained in PM and SM, accordingly inhibiting upward transfer of salt ions. Particularly, sodium adsorption ratio (SAR) ranged from 14.3–265.7, 17.9–147.1, 38.4–147.2 mmol1/2 kg?1/2 at a shallow soil layer (0–60 cm) in CK, PM, and SM, respectively.
Conclusions
The results suggested that sandy soil interlayer settings with plastic mulching are a critical technical strategy for salt-contaminated land reutilization and management.
由于茶园大多分布在地形复杂的山区,地块破碎,分布零散,形状差异大、植被混杂且茶园所处环境长期受到云雨的影响,增加了茶园遥感识别的难度与不确定性,针对这一问题,该研究提出了利用高分1号(GF-1)和哨兵2号(Sentinel-2)时序数据提取茶园的方法,以浙江省武义县王宅镇为研究区,采用GF-1号为主要数据源,并利用MODIS地表反射率产品和Sentinel-2反射率数据,基于时空融合算法得到时间分辨率5 d的10 m Sentinel-2完整的时序数据。综合利用GF-1在空间细节方面的优势和重建的Sentinel-2高观测频率时序数据在反映茶树生长过程方面的优势,分别基于GF-1的光谱和纹理特征及GF-1的光谱、纹理特征和Sentinel-2时序特征两种特征组合方式,采用随机森林算法提取茶园。结果表明,GF-1光谱、纹理信息结合Sentinel-2时序信息分类结果的准确率、错误率、精确率、召回率和F1分数分别为96.91%、3.09%、89.00%、83.09%和0.86,仅基于GF-1光谱和纹理信息的分类准确率、错误率、精确率、召回率和F1分数分别为94.72%、5.28%、73.09%、84.61%和0.78,添加时序信息分类结果总体优于未添加时序信息的分类结果。表明高空间分辨率结合高频率时序遥感数据是提高茶园分类精度的有效手段。 相似文献