Dung beetle-mediated soil modification: a data set for analyzing the effects of a recent introduction on soil quality

Purpose: The Yellow River delta boasts rich land resources but lacks fresh water and exhibits poor natural conditions. To rationally develop and utilize the land resources therein, it is necessary to evaluate the soil quality. Methods: Adopting specific screening conditions, principal component analysis (PCA) was used to construct a minimum data set (MDS) from 10 soil indicators. Then, a complete soil quality evaluation index system of the Yellow River delta was developed. The soil quality comprehensive index (SQI) method was used to assess the soil quality in the Kenli District, and the soil quality grades and spatial distribution were analyzed. Results: (1) The average SQI of the Kenli District is 0.523, and the best soil quality is concentrated near the Yellow River, especially in Huanghekou town. (2) The normalized difference vegetation index was positively correlate with SQI, whereas Dr (nearest distance between the sampling site and Yellow River) and Ds (nearest distance between the sampling site and Bohai Sea) were negatively correlated with SQI. Elev (sampling site elevation) was not correlated with SQI. (3) The SQI of agricultural planting is greater than that of the natural land type and significantly greater than that of nudation. The main factors limiting farmland soil quality are SK (water-soluble potassium) and pH, whereas the factor limiting the natural land type are the soil nutrient indicators. Conclusions: To improve soil quality and develop and utilize land resources, the towns should adopt systematic land development/utilization methods based on local conditions. These results have important guiding significance and practical value for the more objective and accurate evaluation of soil quality in coastal areas and the development and utilization of land resources.

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Evaluasi Kualitas Tanah Sawah Intensif dan Sawah yang Dikonversikan untuk Kebun di Subak Kesiut Kerambitan Tabanan

Agrotrop : Journal on Agriculture Science ◽

10.24843/ajoas.2020.v10.i01.p01 ◽

2020 ◽

Vol 10 (1) ◽

pp. 1

Author(s):

I DEWA MADE ARTHAGAMA ◽

I MADE DANA

Keyword(s):

Soil Quality ◽

Paddy Soil ◽

Field Survey ◽

Research Area ◽

Paddy Soils ◽

Minimum Data Set ◽

Data Set ◽

Minimum Data ◽

Better Than

Evaluation Quality of Intensif Paddy Soils and Conversion Paddy Soils to Garden at Subak Kesiut Kerambitan Tabanan. This experiment conducted to evaluate intensif Paddy Soils and conversion paddy soils to garden at SubakKesiut Kerambitan Tabanan. There were two steps applied in this study including field survey to determine the research area and points soils sampling; analysis soils properties are: physic, chemistry and soils biology for get minimum data set to determine the soil quality at Laboratory of Soils and Enveronment Faculty of Agriculture Unud. The results of this study showed: the soil quality of intensif paddy soils is better than conversion paddy soils to garden, that showed with SQR at intensif paddy soil is 18 and at conversions paddy soil is 25. The limiting faktor at conversion paddy soils to garden is P available, there are less than at intensif paddy soils.

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Using Soil Survey Database to Assess Soil Quality in the Heterogeneous Taihang Mountains, North China

Sustainability ◽

10.3390/su10103443 ◽

2018 ◽

Vol 10 (10) ◽

pp. 3443 ◽

Cited By ~ 3

Author(s):

Shoubao Geng ◽

Peili Shi ◽

Ning Zong ◽

Wanrui Zhu

Keyword(s):

Land Cover ◽

Soil Quality ◽

Soil Type ◽

Quality Evaluation ◽

Vegetation Index ◽

Controlling Factors ◽

Soil Survey ◽

Boosted Regression Trees ◽

Soil Quality Index ◽

Data Set

Soil quality evaluation is an effective pathway to understanding the status of soil function and ecosystem productivity. Numerous studies have been made in managed ecosystems and land cover to quantify its effects on soil quality. However, little is coincident regarding soil quality assessment methods and its compatibility in highly heterogeneous soil. This paper used the soil survey database of Taihang Mountains as a case study to: (i) Examine the feasibility of soil quality evaluation with two different indicator methods: Total data set (TDS) and minimum data set (MDS); and (ii) analyze the controlling factors of regional soil quality. Principal component analysis (PCA) and the entropy method were used to calculate soil quality index (SQI). SQI values assessed from the TDS and MDS methods were both significantly correlated with normalized difference vegetation index (p < 0.001), suggesting that both indices were effective to describe soil quality and reflect vegetation growth status. However, the TDS method represented a slightly more accurate assessment than MDS in terms of variance explanation. Boosted regression trees (BRT) models and path analysis showed that soil type and land cover were the most important controlling factors of soil quality, within which soil type had the greatest direct effect and land cover had the most indirect effect. Compared to MDS, TDS is a more sensitive method for assessing regional soil quality, especially in heterogeneous mountains. Soil type is the fundamental factor to determining soil quality. Vegetation and land cover indirectly modulate soil properties and soil quality.

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Soil quality index as affected by temporal long term tea cultivation in Jorhat District of Assam

Journal of Environmental Biology ◽

10.22438/jeb/41/6/si-252 ◽

2020 ◽

Vol 41 (6) ◽

pp. 1685-1695

Author(s):

N. Baruah ◽

◽

B.K. Medhi ◽

Sanjay Swami ◽

R.K. Thakuria ◽

...

Keyword(s):

Soil Quality ◽

Quality Index ◽

Age Groups ◽

Minimum Data Set ◽

Soil Quality Index ◽

Available Nitrogen ◽

Systems Methodology ◽

Data Set ◽

Minimum Data ◽

Tea Plantations

Aim: The investigation was undertaken to identify the Minimum Data Set (MDS) for Soil Quality Index (SQI) assessment in continuouslong-term tea cultivation systems. Methodology: In the study under very deep, fine loamy, well-drained soil, five age groups of tea plantations viz. less than 15 years, 15-30 years, 30-45 years, 45-60 years and more than 60 years were selected and identified minimum data set and soil quality index. Results: In very deep, fine loamy, well-drained soil under continuous tea cultivation, SQI, 14.74 was obtained for less than 15 years, 14.06 for 15-30 years, 11.12 for 30-45 years, 12.94 for 45-60 years and 11.37 for more than 60 years of plantation, respectively. Interpretation: The most sensitive soil quality indicators identified in very deep, fine loamy, well-drained soil were pH for less than 15 years, total nitrogen for 15-30 years, available nitrogen for 30-45 years, organic carbon for 45-60 years and exchangeable aluminium for more than 60 years of continuous tea cultivation.

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The Assessment of Soil Quality Index for Paddy Fields with Indicator Biology in Jatipurno Districts, Wonogirl

Modern Applied Science ◽

10.5539/mas.v14n1p20 ◽

2019 ◽

Vol 14 (1) ◽

pp. 20

Author(s):

Supriyadi Supriyadi ◽

Widyatmani Sih Dewi ◽

Desmiasari Nugrahani ◽

Adila Azza Rahmah ◽

Haryuni Haryuni ◽

...

Keyword(s):

Soil Quality ◽

Quality Index ◽

Management Practices ◽

Principal Component ◽

Biological Indicators ◽

Paddy Fields ◽

Soil Quality Index ◽

Data Set ◽

Organic Rice ◽

Minimum Data

Increased rice needs in an extensive use of paddy fields in the Jatipurno, Wonogiri. Managing rice fields can reduce soil quality. Proper management can improve soil quality, Jatipurno has management such as organic, semi-organic and inorganic paddy field management which have a real effect on soil quality. Assessment of soil quality is measured by physical, chemical and biological indicators, where each factor has a different effect. The chemical indicators are often used as the main indicators for determining soil quality, whereas every parameter has the opportunity to be the main indicator. So, biological indicators can play indicators. The main indicators are obtained from the correlation test (p-values ≤ 0,05 - < 0,01) and Principal Component Analysis with high value, eigenvalues > 1 have the potential to be used as Minimum Data Sets. The result is biological can be able to use as the Minimum Data Set such as microbial carbon biomass, respiration, and total bacterial colonies. The Soil Quality Index (SQI) of various paddy management practices shows very low to low soil quality values. The management of organic rice systems shows better Soil Quality Index with a score of 0,20 compared to other management. The practice of organic rice management shows that it can improve soil quality.

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Quantitative Indicators of Soil Quality: A Minimum Data Set

SSSA Special Publications - Methods for Assessing Soil Quality ◽

10.2136/sssaspecpub49.c2 ◽

2015 ◽

pp. 25-37 ◽

Cited By ~ 75

Author(s):

John W. Doran ◽

Timothy B. Parkin

Keyword(s):

Soil Quality ◽

Minimum Data Set ◽

Data Set ◽

Minimum Data ◽

Quantitative Indicators

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Physical Soil Quality of Semi - Arid Savanna as Influenced by Acacia senegalensis in Desert Research Experimental Plot Yobe State University Damaturu, Northern Nigeria

International Journal of Plant & Soil Science ◽

10.9734/ijpss/2021/v33i530432 ◽

2021 ◽

pp. 7-17

Author(s):

Hamza Haruna ◽

Galal H.G. Hussein ◽

Mohammed B

Keyword(s):

Land Use ◽

Organic Carbon ◽

Bulk Density ◽

Soil Quality ◽

Minimum Data Set ◽

Organic Carbon Content ◽

Data Set ◽

Minimum Data ◽

Lower Bulk Density ◽

Semi Arid

Soil is a living and dynamic natural reservoir and source of plant nutrients that play numerous key roles in terrestrial ecosystems. This study investigated the impact of three adjacent land use systems (Acacia senegalensis plantation (ACP), pilostigma raticulatum plantation (PRP) and Ground nut field (GNF) on selected soil physical quality indicators in a Northern Nigeria semi- arid Savanna. Minimum data set for assessing soil quality (Prime quality agricultural land) in this study include bulk density, organic carbon content, total nitrogen, carbon stock, available phosphorus and pH values obtained from DRMCC research field. Mean values of the data set were arranged and scored to obtain totals among the minimum data set (MDS). Soil quality is considered a key element for evaluating the sustainability of land management practices. Data generated were analyzed using ANOVA and significant means were determined using Duncan multiple range test (DMRT). ACP had significantly higher organic carbon content (9.37 gkg-1) and lower bulk density (2.16 gkg-1) than pilostigma and GNF respectively. The lower bulk density (ρb) and high organic carbon in ACP might be due to high leaf shading by acacia while the lower bulk density in ground nut field aided by trampling induced compaction resulted in its high relative field capacity (RFC), permanent wilting point (PWP) and micro-p ore spaces (PMIC) tillage in ground nut field created loose soil in the plough layer (<20 cm) which turn out to its low bulk density (ρb). Acacia plantation contained highest total nitrogen value (1.23 gkg-1); perhaps resulting Acacia leaf litter is known to have a high decomposition rate. Pilostigma plantation contained (1.22 gkg-1) nitrogen, while the least nitrogen content was obtained under ground nut field. On scoring the land use types and depth against the minimum data set, the least total was that under acacia plantation, followed by pilostigma plantation then ground nut field. Therefore, soils under acacia plantation were ranked best quality (SQ1) for cultivation purposes at 0-10 cm, followed by pilostigma land use type that were ranked SQ2. Ground nut field soils were ranked least (SQ6) in quality for use in crop production at depth of 10-20 cm.

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Soil Quality at Rice Fields with Organic, Semi-organic and Inorganic Management in Wonogiri Regency, Indonesia

Caraka Tani Journal of Sustainable Agriculture ◽

10.20961/carakatani.v36i2.42556 ◽

2021 ◽

Vol 36 (2) ◽

pp. 259

Author(s):

Supriyadi Supriyadi ◽

Intan Lestari Prima Vera ◽

Purwanto Purwanto

Keyword(s):

Soil Quality ◽

Rice Field ◽

Public Awareness ◽

Pearson Correlation ◽

Principal Component ◽

Rice Fields ◽

Soil Conditions ◽

Soil Quality Index ◽

Data Set ◽

Organic Rice

The high demand of rice is fulfilled by intensification, particularly with the use of chemical fertilizer that allegedly causes land and environmental problems in a long term. As public awareness of environmental health rises, more rice fields are managed organically and semi-organically, but there are still many that manage rice fields inorganically. Assessment of soil quality of the three types of rice field management is important to prove that organic rice fields have better soil quality than semi-organic and inorganic rice fields, as well as to evaluate soil conditions on the location. This research was conducted in Girimarto, Wonogiri, Indonesia, using a descriptive explorative method with a survey approach on three points of each management system of rice fields, which are organic, semi-organic and inorganic rice fields. Statistical analysis was performed by Pearson correlation analysis and principal component analysis (PCA) to determine the indicators affecting soil quality, which are called the minimum data set (MDS). There were selected indicators in this research, including total microbes, base saturation, cation exchangeable capacity and organic carbon. Based on the results of the study, organic rice fields have the best soil quality with a score of soil quality index (SQI) of 2.3, compared to semi-organic rice field SQI (2.2) and inorganic rice field SQI (1.7). The results indicate that organic management contributes to better soil quality and environment.

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The relationship between altitudinal gradients, diversity, and body size in a dung beetle (Coleoptera: Scarabaeinae: Onthophagus) model system

Canadian Journal of Zoology ◽

10.1139/cjz-2020-0072 ◽

2020 ◽

pp. 33-43

Author(s):

R.P. Salomão ◽

A. Arriaga-Jiménez ◽

B. Kohlmann

Keyword(s):

Body Size ◽

Dung Beetle ◽

Model System ◽

Temperature Gradients ◽

Data Set ◽

Altitudinal Gradients ◽

Mountainous Regions ◽

Tropical Mountain ◽

Interspecific Variations ◽

The Relationship

Mountainous regions represent an excellent model to test ecological hypotheses encompassing assemblage diversity and body traits of species. Among insects, there is no uniform body size pattern across temperature gradients, suggesting that processes controlling body size may differ among species. The aim of this study was to explore diversity and body size patterns of dung beetle species of the genus Onthophagus Latreille, 1802 across altitudinal gradients at two mountains in Mexico. Tropical mountain species were sampled from 2200 to 3400 m a.s.l. In both mountains, there was a decrease of richness and abundance of Onthophagus with increasing altitude. There were contrasting relationships between beetle body size and altitude, which varied depending on the data set analyzed. Furthermore, interspecific variations of body size were not related to the number of altitudinal bands recorded by each species. Species from high altitudes were also recorded at lower mountain altitudes, suggesting that diversity at the highest altitudes represents a subgroup of lowland diversity. This may indicate that the fauna inhabiting higher elevations could be the most eurytopic one. Here we present an example of an assemblage that partially contradicts Bergmann’s rule, with contrasting effects of altitude on dung beetle body size.

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