Comparing Delphi–fuzzy AHP and fuzzy logic membership in soil fertility assessment: a study of an active Ganga Delta in Sundarban Biosphere Reserve, India

Mallick, Kunal; Sahana, Mehebub; Chatterjee, Soumendu

doi:10.1007/s11356-022-21983-4

Cited by 3 publications

(3 citation statements)

References 62 publications

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“…Physicochemical soil analysis should be performed for proper soil fertility evaluation [ 6 ]. To obtain reliability in the results, the importance of research related to this evaluation arises, which covers some processes, from soil sampling, methods of nutrient analysis, techniques for diagnosing the results and the interpretation and recommendation of fertilization [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Phosphorus extractors in soil under no-tillage system with 19 years of swine manure applications

Silva,

Menezes,

Berti

et al. 2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

Phosphorus extractors in soil under no-tillage system with 19 years of swine manure applications

Silva,

Menezes,

Berti

et al. 2024

Heliyon

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“…The anthropogenic activities have an impact on biomass production, and plant and soil health. In order to understand these environmental changes, the spatial trend of soil nutrients is essential in understanding the terrestrial ecosystem and the temporal changes associated with it (Liu et al 2021;Mallick et al 2022;Calzolari et al 2020). Kren (2018) revealed that the physical and chemical properties of the soil are determined by the spectral reflectance of the soil.…”

Section: Introductionmentioning

confidence: 99%

“…The supporting ecosystem service provided by the soil is to reinforce biomass production by nutrient cycling (Wilcke et al 2013;Mallick et al 2022). When the soil capacity for producing biomass changes, it implies a change in soil quality, in other words, soil fertility determines the soil quality (Nguemezi et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis of soil quality using geospatial techniques in Botanic Garden of Indian Republic, Noida, Uttar Pradesh, India

Babbar

Chauhan

Sharma

et al. 2022

Environmental Sustainability

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Ex-situ conservation places such as botanical gardens require sufficient soil quality to support introduced species from various phytogeographical zones. The soil quality of the Botanic Garden of Indian Republic (BGIR), Noida, Uttar Pradesh, was evaluated to quantify soil nutrients. The dependency of one nutrient on the other nutrients was investigated using Pearson correlation and Multilinear regression analysis (MLRA). At the 0.05 level of significance, the nutrients Log10S and Log10EC (r = 0.97), N and OC (r = 0.98), Mn and OC (r = 0.97), Mn and N (r = 0.92), Ca and pH (r = − 0.91), Cu and Fe (r = 0.94) were found to be associated. Correspondence Analysis (C.A.) has been performed to find the association of soil elements with the soil type of study site. The spatial indices like NDVI (Normalized Difference Vegetation Index), EVI2 (Enhanced Vegetation Index), ARVI (Atmospherically Resistant Vegetation Index), NPCRI (Normalized Pigment Chlorophyll Index), RDVI (Renormalized Difference Vegetation Index) have shown significant correlation with the Log10S, Mg, Log10Zn, B and Fe respectively (with respective Pearson correlation coefficient r = 0.88, r = − 0.90, r = − 0.93, r = 0.91, r = 0.92 at P < 0.05). ARVI, along with other indices SCI (Soil Composition Index), NDMI (Normalized Difference Moisture Index), and MSAVI (Modified Soil Adjusted Vegetation Index), are also the predictor variables for Log10Zn (r = − 0.89, r = − 0.88 r = 0.92 at P < 0.05 respectively). MAVI2 (Moisture Adjusted Vegetation Index) positively correlates with OC, Mn content (r = 0.91, r = 0.93 respectively). MSAVI is negatively interrelated with Ca (r = − 0.89), SCI is negatively interrelated with Log10 K (r = − 0.98), BSI (Bare Soil Index) is positively associated with pH (r = 0.91), and negatively with Ca (r = − 0.93). At the same time, other indices like SAVI (Soil Adjusted Vegetation Index), SATVI (Soil Adjusted Total Vegetation Index), NDWI (Normalized Difference Water Index), and DVI (Difference Vegetation Index) have failed to explain the presence of soil nutrients based on spectral reflectance. This study is important for understanding the changing nutrient status of soil at the conservation site for successfully establishing plants from different phytogeographical zones.

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Response of soil fertility to soil erosion on a regional scale: A case study of Northeast China

Xiong,

Wu,

Wang

et al. 2024

Journal of Cleaner Production

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Comparing Delphi–fuzzy AHP and fuzzy logic membership in soil fertility assessment: a study of an active Ganga Delta in Sundarban Biosphere Reserve, India

Cited by 3 publications

References 62 publications

Phosphorus extractors in soil under no-tillage system with 19 years of swine manure applications

Phosphorus extractors in soil under no-tillage system with 19 years of swine manure applications

Spatial analysis of soil quality using geospatial techniques in Botanic Garden of Indian Republic, Noida, Uttar Pradesh, India

Response of soil fertility to soil erosion on a regional scale: A case study of Northeast China

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