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Spatial distribution and prediction of soil organic matter and zonal fertilization of strawberry pla...

Spatial distribution and prediction of soil organic matter and zonal fertilization of strawberry pla...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3059246649

Spatial distribution and prediction of soil organic matter and zonal fertilization of strawberry planting area: taking Changfeng County as an example

About this item

Full title

Spatial distribution and prediction of soil organic matter and zonal fertilization of strawberry planting area: taking Changfeng County as an example

Publisher

Tianjin: Journal of Agricultural Resources and Environment (JARE)

Journal title

Journal of agricultural resources and environment, 2024-01, Vol.41 (3), p.585

Language

Chinese

Formats

Publication information

Publisher

Tianjin: Journal of Agricultural Resources and Environment (JARE)

More information

Scope and Contents

Contents

为了探究土壤有机质含量及空间分布进而实行分区施肥,本研究以安徽省合肥市长丰县的草莓产业为例,利用长丰县的测土配方项目收集了1 986个土壤采样点位的有机质数据,借助普通克里格(OK)、随机森林(RF)、随机森林残差克里格(RFRK)3种预测模型,结合与土壤形成相关的地形、植被等6个环境协变量,对研究区的土壤有机质空间分布进行预测,绘制空间分布图,并依据有机质含量划分施肥分区,针对各个分区提出不同的草莓施肥方案。结果表明,3种模型所预测的土壤有机质总体分布趋势基本一致,呈现北高南低的特点,有机质总体含量为8~30 g·kg-1。根据土壤有机质的丰缺程度,将有机质含量为15~25 g·kg-1的地区划定为中等施肥区,建议施用农家肥 45.0~52.5 t·hm-2;有机质含量高于 25 g·kg...

Alternative Titles

Full title

Spatial distribution and prediction of soil organic matter and zonal fertilization of strawberry planting area: taking Changfeng County as an example

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3059246649

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3059246649

Other Identifiers

ISSN

2095-6819

E-ISSN

2095-6819

DOI

10.13254/j.jare.2023.0266

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