scholarly journals Identification of sensitive indicators to assess the interrelationship between soil quality, management practices and human health

SOIL ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 173-185 ◽  
Author(s):  
R. Zornoza ◽  
J. A. Acosta ◽  
F. Bastida ◽  
S. G. Domínguez ◽  
D. M. Toledo ◽  
...  
Keyword(s):  
Land Use ◽  
Human Health ◽  
Soil Quality ◽  
Management Practices ◽  
Land Use Changes ◽  
Aggregate Stability ◽  
Health Indicators ◽  
Nutrient Content ◽  
Sustainable Land Use ◽  
Soil Quality Index

Abstract. Soil quality (SQ) assessment has long been a challenging issue, since soils present high variability in properties and functions. This paper aims to increase the understanding of SQ through the review of SQ assessments in different scenarios providing evidence about the interrelationship between SQ, land use and human health. There is a general consensus that there is a need to develop methods to assess and monitor SQ for assuring sustainable land use with no prejudicial effects on human health. This review points out the importance of adopting indicators of different nature (physical, chemical and biological) to achieve a holistic image of SQ. Most authors use single indicators to assess SQ and its relationship with land uses – soil organic carbon and pH being the most used indicators. The use of nitrogen and nutrient content has resulted sensitive for agricultural and forest systems, together with physical properties such as texture, bulk density, available water and aggregate stability. These physical indicators have also been widely used to assess SQ after land use changes. The use of biological indicators is less generalized, with microbial biomass and enzyme activities being the most selected indicators. Although most authors assess SQ using independent indicators, it is preferable to combine some of them into models to create a soil quality index (SQI), since it provides integrated information about soil processes and functioning. The majority of revised articles used the same methodology to establish an SQI, based on scoring and weighting of different soil indicators, selected by means of multivariate analyses. The use of multiple linear regressions has been successfully used for forest land use. Urban soil quality has been poorly assessed, with a lack of adoption of SQIs. In addition, SQ assessments where human health indicators or exposure pathways are incorporated are practically inexistent. Thus, further efforts should be carried out to establish new methodologies to assess soil quality not only in terms of sustainability, productivity and ecosystem quality but also human health. Additionally, new challenges arise with the use and integration of stable isotopic, genomic, proteomic and spectroscopic data into SQIs.

scholarly journals Identification of sensitive indicators to assess the interrelationship between soil quality, management practices and human health

2014 ◽  
Vol 1 (1) ◽  
pp. 463-495
Author(s):  
R. Zornoza ◽  
J. A. Acosta ◽  
F. Bastida ◽  
S. G. Domínguez ◽  
D. M. Toledo ◽  
...  
Keyword(s):  
Land Use ◽  
Human Health ◽  
Soil Quality ◽  
Management Practices ◽  
Land Use Changes ◽  
Aggregate Stability ◽  
Health Indicators ◽  
Biological Indicators ◽  
Sustainable Land Use ◽  
Soil Quality Index

Abstract. Soil quality (SQ) assessment has been a challenging issue since soils present high variability in properties and functions. This paper aims to increase understanding of SQ through review of SQ assessments in different scenarios providing evidence about the interrelationship between SQ, land use and human health. There is a general consensus that there is a need to develop methods to assess and monitor SQ for assuring sustainable land use with no prejudicial effects on human health. This review points out the importance of adopting indicators of different nature (physical, chemical and biological) to achieve a holistic image of SQ. Most authors use single indicators to assess SQ and its relationship with land uses, being the most used indicators soil organic carbon and pH. The use of nitrogen and nutrients content has resulted sensitive for agricultural and forest systems, together with physical properties such as texture, bulk density, available water and aggregate stability. These physical indicators have also been widely used to assess SQ after land use changes. The use of biological indicators is less generalized, being microbial biomass and enzyme activities the most selected indicators. Although most authors assess SQ using independent indicators, it is preferable to combine some of them into models to create a soil quality index (SQI), since it provides integrated information about soil processes and functioning. The majority of revised articles used the same methodology to establish a SQI, based on scoring and weighting of different soil indicators, selected by multivariate analyses. The use of multiple linear regressions has been successfully used under forest land use. Urban soil quality has been poorly assessed, with lack of adoption of SQIs. In addition, SQ assessments were human health indicators or exposure pathways are incorporated are practically inexistent. Thus, new efforts should be carried out to establish new methodologies not only to assess soil quality in terms of sustainability, productivity and ecosystems quality, but also human health. Additionally, new challenges arise with the use and integration into SQIs of stable isotopic, genomic, proteomic and spectroscopy data.

scholarly journals Farmland management effects on the quality of surface soil during oasification in the southern rim of the Tarim Basin in Xinjiang, China

2010 ◽  
Vol 56 (No. 7) ◽  
pp. 348-356 ◽  
Author(s):  
D.W. Gui ◽  
J.Q. Lei ◽  
F.J. Zeng
Keyword(s):  
Land Use ◽  
Soil Properties ◽  
Soil Quality ◽  
Tarim Basin ◽  
Management Practices ◽  
Sustainable Land Use ◽  
Soil Quality Index ◽  
Positive Effects ◽  
Management Effects

Oasification and desertification are basic geographical processes in arid areas, and both change the soil properties and quality. Recently, oasification has been obvious in the southern rim of the Tarim Basin of Xinjiang, China, and agriculture is the main land-use type. There has been little research on oasification involving farmland of different management types in extremely arid regions. In 2004, four experimental fields were established in the Cele Oasis, representing four typical land-use types of local farmers' tillage practices during oasification. Three experimental fields were situated in the desert-oasis ecotone: newly cultivated land (NEF), a field with normal manure input (NMF), and a field with high manure input (HMF); there was also another field in the oasis interior (OIF), to allow analysis of the management effects on soil properties and soil quality of farmlands. Additionally, the soil from an uncultivated control plot was analyzed for comparison. Both a Soil Quality Index based on soil properties and a Sustainable Yield Index based on yearly yield were used to assess the soil quality of the different farmlands. There were significant differences in seven soil indicators, including soil particle size distribution and soil organic matter, between the four locations. NEF had the lowest and OIF the highest values in all assessments among the five experiment plots. Fertilization of NMF and HMF had positive effects on soil properties and soil quality; however, the sustainable productivity of these farmlands was low. The results should be beneficial for refining agricultural management practices and improving sustainable land use in the oasification process.

scholarly journals Impact of sustainable land-use management practices on soil carbon sequestration and soil quality in the west coast of India

2021 ◽  
Author(s):  
Paramesh Venkatesh ◽  
SURENDRA SINGH ◽  
Deepak Mohekar ◽  
Vadivel Arunachalam ◽  
Shiva Misra ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
West Coast ◽  
Management Practices ◽  
Sustainable Land Use ◽  
Areca Nut ◽  
Land Use Management ◽  
Coastal Plains ◽  
Land Use Systems ◽  
Soc Stocks

The evaluation of sustainable land management practices is imperative under particular soil type, climate, and cropping sequence following area-specific best management practices. The alternative land-use system (ALUS-natural forest, pasture, cashew, areca nut, coconut) on hills and agricultural land-use system (AGLUS-rice-rice, rice-pulse) in the coastal plains of west coast India was evaluated in this study. The present study assessed the impact of sustainable land-use management practices on different fractions of SOC and soil quality under ALUS and AGLUS. The total SOC stocks under different land-use systems varied from 14.4 Mg ha−1 in rice–rice rotations to 133.7 Mg ha−1 in cashew and more than 75% of total SOC stock were found as a passive carbon pool. The higher lability index, available nutrients, and biochemical properties were found in ALUS. This variation in the levels of SOC and soil quality was due to land use and management practices. The results indicated land use with areca nut (0.8) on the hills and rice–pulses (0.25) rotations on the coast had maintained soil quality of high order. On upscaling the different land-use systems by growing cashew, areca nut, coconut, pasture, and rice-pulses rotations, SOC stocks of Goa can increase from 6.33 Tg at present to 32 Tg. We recommend promoting sustainable agriculture with ALUS on the hills and with AGLUS on the coastal plains of Goa for enhancing SOC sequestration and improving soil quality.

scholarly journals STUDI INDEKS KUALITAS TANAH SERTA BIOINDIKATOR KUALITAS AIR DI DAS MIKRO SISIM KOTA BATU

2020 ◽  
Vol 8 (1) ◽  
pp. 203-213
Author(s):  
Shofie Rindi Nurhutami ◽  
Zaenal Kusuma ◽  
Istika Nita
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Soil Quality ◽  
Land Use Changes ◽  
Pollution Index ◽  
Health Condition ◽  
Soil Quality Index ◽  
Water Pollution Index ◽  
Landuse Change ◽  
The Impact

Landuse change causes the decrease of soil quality, so the hydrological and non-hydrological functions do not run optimally. Sisim Micro Watershed‘s area of ± 933.17 ha with a very steep slope has undergone major land-use changes. Soil Quality Index (SQI) analysis and water quality bioindicators are needed to assess the impact of land-use change. This study used 12 soil sampling plots, i.e. production forest (H2, H3, H4, H5), mixed gardens (KC2, KC3, KC4, KC5), and fields (T2, T3, T4, T5). The numbers behind the code indicate slope; 2 (slope 8-15%), 3 (slope 15-25%), 4 (slope 25-40%), and 5 (slope 40-60%). The results showed that dense vegetation and low intensity of tillage gave the best SQI. The highest SQI value was on H5 (0.63) with a good category, and the lowest was on T5 (0.32) with a bad category. The water quality bioindicator showed water pollution index of 1.97 (dirty water quality and rather heavily polluted). Soil quality which is dominated by low categories with high agricultural intensity and community waste disposal causes health condition of biotic habitats classified as unhealthy with a score of 1.90.

scholarly journals An Assessment of the Soil Quality Index in a Mediterranean Agro Ecosystem

2019 ◽  
pp. 1042
Author(s):  
Vassilios Triantafyllidis ◽  
Achilleas Kontogeorgosa Chariklia Kosma ◽  
Angelos Patakas
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Management Practices ◽  
Soil Health ◽  
Health Indicators ◽  
Decision Support Tool ◽  
Mediterranean Ecosystems ◽  
Quality Parameters ◽  
Soil Quality Index ◽  
Support Tool

Soil quality is a complex functional concept, which cannot be measured directly but only be inferred from both soil characteristics and cultivation practices. Among different approaches used, Soil Quality Index (SQI) is considered to be the most appropriate for quantitative assessment of soil quality. Since, there is no standard method for SQI estimation, the aim of this study is to identify soil quality parameters that could be used for the development of reliable SQI which could be effectively applied in Mediterranean ecosystems. Three different methods resulting in different SQIs were evaluated regarding their ability to monitor changes in agricultural soil properties over time. Overall, a set of soil’s parameters was used as soil health indicators (pH, CaCO3, EC, NO3-N, P, K, Mg, Cu, B, Zn, Fe, Mn, Silt, Clay, Sand and SOC) derived from 605 soil samples used to calculate the above SQIs. The most reliable SQI to distinguish the effect of the examined parameters was the weighted additive approach. These 16 soil indicators can be used as decision support tool for soil management practices, as well as indirect measures of soil function, serving to assess soil health for a sustainable Mediterranean agro-environment.

Impact of sustainable land‐use management practices on soil carbon storage and soil quality in the Goa state of India

2021 ◽  
Author(s):  
Venkatesh Paramesh ◽  
Surendra Kumar Singh ◽  
Deepak S. Mohekar ◽  
Vadivel Arunachalam ◽  
Shiva Dhar Misra ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Carbon ◽  
Soil Quality ◽  
Carbon Storage ◽  
Management Practices ◽  
Sustainable Land Use ◽  
Land Use Management ◽  
Soil Carbon Storage

scholarly journals Peat soil quality index and its determinants as influenced by land use changes in Kubu Raya District, West Kalimantan, Indonesia

2018 ◽  
Vol 19 (2) ◽  
pp. 535-540 ◽  
Author(s):  
ROSSIE WIEDYA NUSANTARA ◽  
ASRIPIN ASPAN ◽  
ABDUL MUJID ALHADDAD ◽  
URAY EDI SURYADI1 ◽  
MAKHRAWIE MAKHRAWIE ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Water Table ◽  
Quality Index ◽  
Peat Soil ◽  
Land Use Changes ◽  
Ash Content ◽  
Soil Quality Index ◽  
West Kalimantan ◽  
Water Table Level

Nusantara RW, Aspan A, Alhaddad AM, Suryadi UE, Makhrawie, Fitria I, Fakhrudin J, Rezekikasari. 2018. Peat soil quality index and its determinants as influenced by land use changes in Kubu Raya District, West Kalimantan, Indonesia. Biodiversitas 19: 535-540. Tropical peatland is continuously damaged in large area in Indonesia, caused by deep and wide drains which change the ecosystem. This research was conducted to evaluate the soil quality index (SQI) based on peatland use. The research was conducted in Kubu Raya District, West Kalimantan Province, in secondary peat forest, shrubland, oil palm plantation and corn field. The variables observed in this research were subsidence, water-table level, depth of peat, bulk density, water content, porosity, organic carbon, total nitrogen, total potassium, cation exchange capacity, base saturation, ash content, available phosphorus, and exchangeable calcium, magnesium, sodium, C/N ratio and soil acidity. The results showed that SQI in secondary peat forest, shrubland, corn field and palm oil plantation were 0.40, 0.37, 0.37 and 0.37 respectively. The stepwise regression analyses showed that the variables influencing SQI were the depth of peat, water-table level, and ash content. Secondary forest had the highest level (0.74) for the depth of peat with 509 cm depth while the other sites had average level (0.41-0.43) with 108.4 cm-115.5 cm mean depth. SQI of peatland increased with the increasing depth of peat and ash content. The differences showed that land use change of peatland, from forest to plantation area would decrease its SQI.

scholarly journals Satellite Imaging and Long-Term Mosquito Surveillance Implicate the Influence of Rapid Urbanization on Culex Vector Populations

Insects ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 269
Author(s):  
Eleanor N. Field ◽  
Ryan E. Tokarz ◽  
Ryan C. Smith
Keyword(s):  
Land Use ◽  
Disease Transmission ◽  
Culex Pipiens ◽  
Management Practices ◽  
Mosquito Species ◽  
Land Use Changes ◽  
Mosquito Vector ◽  
Rapid Urbanization ◽  
Mosquito Surveillance

The ecology and environmental conditions of a habitat have profound influences on mosquito population abundance. As a result, mosquito species vary in their associations with particular habitat types, yet long-term studies showing how mosquito populations shift in a changing ecological landscape are lacking. To better understand how land use changes influence mosquito populations, we examined mosquito surveillance data over a thirty-four-year period for two contrasting sites in central Iowa. One site displayed increasing levels of urbanization over time and a dramatic decline in Culex pipiens group (an informal grouping of Culex restuans, Culex pipiens, and Culex salinarius, referred to as CPG), the primary vectors of West Nile virus in central Iowa. Similar effects were also shown for other mosquito vector populations, yet the abundance of Aedes vexans remained constant during the study period. This is in contrast to a second site, which reflected an established urban landscape. At this location, there were no significant changes in land use and CPG populations remained constant. Climate data (temperature, total precipitation) were compiled for each location to see if these changes could account for altered population dynamics, but neither significantly influence CPG abundance at the respective site locations. Taken together, our data suggest that increased landscape development can have negative impacts on Culex vector populations, and we argue that long-term surveillance paired with satellite imagery analysis are useful methods for measuring the impacts of rapid human development on mosquito vector communities. As a result, we believe that land use changes can have important implications for mosquito management practices, population modeling, and disease transmission dynamics.

LUU CHECKER: A Web-based Tool to Incorporate Emerging LUs in the SWAT Model

2019 ◽  
Vol 35 (5) ◽  
pp. 723-731 ◽  
Author(s):  
Gurdeep Singh ◽  
Dharmendra Saraswat ◽  
Naresh Pai ◽  
Benjamin Hancock
Keyword(s):  
Land Use ◽  
Management Practices ◽  
Assessment Tool ◽  
Urban Forest ◽  
Swat Model ◽  
Land Use Changes ◽  
Web Based ◽  
Large Size ◽  
Hydrologic Response Unit ◽  
User Friendly

Abstract. Standard practice of setting up Soil and Water Assessment Tool (SWAT) involves use of a single land use (LU) layer under the assumption that no change takes place in LU condition irrespective of the length of simulation period. This assumption leads to erroneous conclusions about efficacy of management practices in those watersheds where land use changes (LUCs) (e.g. agriculture to urban, forest to agriculture etc.) occur during the simulation period. To overcome this limitation, we have developed a user-friendly, web-based tool named LUU Checker that helps create a composite LU layer by integrating multiple years of LU layers available in watersheds of interest. The results show that the use of composite LU layer for hydrologic response unit (HRU) delineation in 2474-km2 L’Anguile River Watershed in Arkansas was able to capture changed LU at subbasin level by using LU data available in the year 1999 and 2006, respectively. The web-based tool is applicable for large size watersheds and is accessible to multiple users from anywhere in the world. Keywords: Land use, Web-based tool, SWAT, LUU Checker.

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