Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan

ABSTRACT Agricultural measures for cotton (Gossypium spp.) cultivation generally adopt a traditional and uniform management method in the reclamation area of the abandoned salt pan on the southern coast of Laizhou Bay, without considering spatial variability of the soil’s physical environm...

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Autores principales:	Liu,Wenquan, Lu,Fang, Chen,Guanquan, Xu,Xingyong, Yu,Hongjun
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2021
Materias:	Abandoned salt pan coastal area fuzzy clustering geostatistical Gossypium spp. management zones
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392021000300420
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spelling	oai:scielo:S0718-583920210003004202021-08-16Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt panLiu,WenquanLu,FangChen,GuanquanXu,XingyongYu,Hongjun Abandoned salt pan coastal area fuzzy clustering geostatistical Gossypium spp. management zones ABSTRACT Agricultural measures for cotton (Gossypium spp.) cultivation generally adopt a traditional and uniform management method in the reclamation area of the abandoned salt pan on the southern coast of Laizhou Bay, without considering spatial variability of the soil’s physical environment. This method might lead to overfertilization in some high-nutrient plots and poor fertilization in other low-nutrient plots, which will cause high heterogeneity of crop yields and low profits. The objectives of this study were to delineate and to assess the suitability of the resulting site-specific management zones by describing spatial variability in soil attributes and crop yields. A 4.8 ha field of reclamation area in the coast was selected as the research object. A total of 12 soil attributes representing the physio-chemical attributes of soil (0-20 cm) and aboveground biomass (AGB) of cotton on 48 sampling locations were chosen from the study area. Principal component analysis and the fuzzy k-means clustering method were used to determine optimal clustering number of the study area and identify management zones. Results showed that the number of reasonable management zones were two, and confidence levels of soil organic matter (SOM) and AGB were significantly different at a probability level p < 0.01, while total N, available N, available K, cation exchange capacity, and soil salinity showed significant differences at p < 0.05. Management zones determined based on the selected soil attributes and crop AGB provide farmers with the opportunity to perform specific site management in cotton fields to achieve precision agriculture and provide a reference for formulation of a reclamation strategy for the salt pan.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.81 n.3 20212021-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392021000300420en10.4067/S0718-58392021000300420
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Abandoned salt pan coastal area fuzzy clustering geostatistical Gossypium spp. management zones
spellingShingle	Abandoned salt pan coastal area fuzzy clustering geostatistical Gossypium spp. management zones Liu,Wenquan Lu,Fang Chen,Guanquan Xu,Xingyong Yu,Hongjun Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan
description	ABSTRACT Agricultural measures for cotton (Gossypium spp.) cultivation generally adopt a traditional and uniform management method in the reclamation area of the abandoned salt pan on the southern coast of Laizhou Bay, without considering spatial variability of the soil’s physical environment. This method might lead to overfertilization in some high-nutrient plots and poor fertilization in other low-nutrient plots, which will cause high heterogeneity of crop yields and low profits. The objectives of this study were to delineate and to assess the suitability of the resulting site-specific management zones by describing spatial variability in soil attributes and crop yields. A 4.8 ha field of reclamation area in the coast was selected as the research object. A total of 12 soil attributes representing the physio-chemical attributes of soil (0-20 cm) and aboveground biomass (AGB) of cotton on 48 sampling locations were chosen from the study area. Principal component analysis and the fuzzy k-means clustering method were used to determine optimal clustering number of the study area and identify management zones. Results showed that the number of reasonable management zones were two, and confidence levels of soil organic matter (SOM) and AGB were significantly different at a probability level p < 0.01, while total N, available N, available K, cation exchange capacity, and soil salinity showed significant differences at p < 0.05. Management zones determined based on the selected soil attributes and crop AGB provide farmers with the opportunity to perform specific site management in cotton fields to achieve precision agriculture and provide a reference for formulation of a reclamation strategy for the salt pan.
author	Liu,Wenquan Lu,Fang Chen,Guanquan Xu,Xingyong Yu,Hongjun
author_facet	Liu,Wenquan Lu,Fang Chen,Guanquan Xu,Xingyong Yu,Hongjun
author_sort	Liu,Wenquan
title	Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan
title_short	Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan
title_full	Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan
title_fullStr	Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan
title_full_unstemmed	Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan
title_sort	site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2021
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392021000300420
work_keys_str_mv	AT liuwenquan sitespecificmanagementzonesbasedongeostatisticalandfuzzyclusteringapproachinacoastalreclaimedareaofabandonedsaltpan AT lufang sitespecificmanagementzonesbasedongeostatisticalandfuzzyclusteringapproachinacoastalreclaimedareaofabandonedsaltpan AT chenguanquan sitespecificmanagementzonesbasedongeostatisticalandfuzzyclusteringapproachinacoastalreclaimedareaofabandonedsaltpan AT xuxingyong sitespecificmanagementzonesbasedongeostatisticalandfuzzyclusteringapproachinacoastalreclaimedareaofabandonedsaltpan AT yuhongjun sitespecificmanagementzonesbasedongeostatisticalandfuzzyclusteringapproachinacoastalreclaimedareaofabandonedsaltpan
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Site-specific management zones based on geostatistical and fuzzy clustering approach in a coastal reclaimed area of abandoned salt pan

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