Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method
Soil nutrients are essential factors that reflect farmland quality. Nitrogen, phosphorus, and potassium are essential elements for plants, while silicon is considered a “quasi-essential” element. This study investigated the spatial distribution of plant nutrients in soil in a hilly region of the Pea...
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doaj-8bbf02aaae7748379e4f863e8197727e2021-04-02T18:22:45ZengMDPI AGAgriculture2077-04722021-01-0111505010.3390/agriculture11010050Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting MethodRumi Wang0Runyan Zou1Jianmei Liu2Luo Liu3Yueming Hu4College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaSoil nutrients are essential factors that reflect farmland quality. Nitrogen, phosphorus, and potassium are essential elements for plants, while silicon is considered a “quasi-essential” element. This study investigated the spatial distribution of plant nutrients in soil in a hilly region of the Pearl River Delta in China. A total of 201 soil samples were collected from farmland topsoil (0–20 cm) for the analysis of total nitrogen (TN), available phosphorus (AP), available potassium (AK), and available silicon (ASi). The coefficients of variation ranged from 47.88% to 76.91%. The NSRs of TN, AP, AK, and ASi were 0.15, 0. 07, 0.12, and 0.13, respectively. The NSRs varied from 0.02 to 0.20. All variables exhibited weak spatial dependence (R<sup>2</sup> < 0.5), except for TN (R<sup>2</sup> = 0.701). After comparing the prediction accuracy of the different methods, we used the inverse distance weighting method to analyze the spatial distribution of plant nutrients in soil. The uniform spatial distribution of AK, TN overall showed a trend of increasing from northeast to southwest, and the overall spatial distribution of AP and ASi showed that the northeast was higher than the southwest. This study provides support for the delimitation of basic farmland protection areas, the formulation of land use spatial planning, and the formulation of accurate farmland protection policies.https://www.mdpi.com/2077-0472/11/1/50cultivated landgeostatistical methodsPearl River Deltasoil nutrientsspatial distribution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rumi Wang Runyan Zou Jianmei Liu Luo Liu Yueming Hu |
spellingShingle |
Rumi Wang Runyan Zou Jianmei Liu Luo Liu Yueming Hu Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method Agriculture cultivated land geostatistical methods Pearl River Delta soil nutrients spatial distribution |
author_facet |
Rumi Wang Runyan Zou Jianmei Liu Luo Liu Yueming Hu |
author_sort |
Rumi Wang |
title |
Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method |
title_short |
Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method |
title_full |
Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method |
title_fullStr |
Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method |
title_full_unstemmed |
Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method |
title_sort |
spatial distribution of soil nutrients in farmland in a hilly region of the pearl river delta in china based on geostatistics and the inverse distance weighting method |
publisher |
MDPI AG |
series |
Agriculture |
issn |
2077-0472 |
publishDate |
2021-01-01 |
description |
Soil nutrients are essential factors that reflect farmland quality. Nitrogen, phosphorus, and potassium are essential elements for plants, while silicon is considered a “quasi-essential” element. This study investigated the spatial distribution of plant nutrients in soil in a hilly region of the Pearl River Delta in China. A total of 201 soil samples were collected from farmland topsoil (0–20 cm) for the analysis of total nitrogen (TN), available phosphorus (AP), available potassium (AK), and available silicon (ASi). The coefficients of variation ranged from 47.88% to 76.91%. The NSRs of TN, AP, AK, and ASi were 0.15, 0. 07, 0.12, and 0.13, respectively. The NSRs varied from 0.02 to 0.20. All variables exhibited weak spatial dependence (R<sup>2</sup> < 0.5), except for TN (R<sup>2</sup> = 0.701). After comparing the prediction accuracy of the different methods, we used the inverse distance weighting method to analyze the spatial distribution of plant nutrients in soil. The uniform spatial distribution of AK, TN overall showed a trend of increasing from northeast to southwest, and the overall spatial distribution of AP and ASi showed that the northeast was higher than the southwest. This study provides support for the delimitation of basic farmland protection areas, the formulation of land use spatial planning, and the formulation of accurate farmland protection policies. |
topic |
cultivated land geostatistical methods Pearl River Delta soil nutrients spatial distribution |
url |
https://www.mdpi.com/2077-0472/11/1/50 |
work_keys_str_mv |
AT rumiwang spatialdistributionofsoilnutrientsinfarmlandinahillyregionofthepearlriverdeltainchinabasedongeostatisticsandtheinversedistanceweightingmethod AT runyanzou spatialdistributionofsoilnutrientsinfarmlandinahillyregionofthepearlriverdeltainchinabasedongeostatisticsandtheinversedistanceweightingmethod AT jianmeiliu spatialdistributionofsoilnutrientsinfarmlandinahillyregionofthepearlriverdeltainchinabasedongeostatisticsandtheinversedistanceweightingmethod AT luoliu spatialdistributionofsoilnutrientsinfarmlandinahillyregionofthepearlriverdeltainchinabasedongeostatisticsandtheinversedistanceweightingmethod AT yueminghu spatialdistributionofsoilnutrientsinfarmlandinahillyregionofthepearlriverdeltainchinabasedongeostatisticsandtheinversedistanceweightingmethod |
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