Search

Abstract Many scientists have recognized that there is diversity in nature, including biodiversity, geodiversity, and pedodiversity. Studies in biodiversity date back as far as the 1700s, but geodiversity and pedodiversity studies are much more recent, dating to the late 1970s to early 1980s. Given that we are now approaching 40 years of geodiversity and geoheritage work, this study was undertaken to determine areas that have been well addressed and where current gaps are. This was accomplished by reviewing the publications in the journal "Geoheritage", the Scopus and Google Scholar databases, and established geoparks according to UNESCO records. It was found that geodiversity studies typically do not include the findings or utilize the techniques of biodiversity and pedodiversity research, despite the fact that common definitions of geodiversity include soils. Including the findings and techniques of bio- and pedodiversity would expand geodiversity work. Likewise, geoheritage preservation sites are not geographically balanced, with European countries, Brazil, Australia, and China creating the large majority. The European and East Asian countries, especially China, have dominated in the establishment of geoparks. The most pressing need in future studies is more balanced geographic distribution, as the current strong slant towards a limited portion of the world cannot adequately capture (on the research front) and preserve (on the geoparks front) global geodiversity. Finally, there is a need investigate whether the spatial patterns of biodiversity are idiosyncratic or are also a characteristic of abiotic resources, permitting the standardization of diversity research methods. This review contends that there are intriguing similarities in biodiversity, geodiversity, and pedodiversity patterns that should be explored, something that would benefit all of these research areas. Graphical abstract Unlabelled Image Highlights • Geodiversity and pedodiversity should receive as much attention as biodiversity. • Pedodiversity is part of geodiversity but rarely considered in geodiversity studies. • Pedodiversity studies followed biodiversity methodologies, geodiversity did not. • Geodiversity has focused on the proposal of geoparks, geotourism, and education. • Researching relationships between bio-, pedo- and geodiversity would be fruitful. [ABSTRACT FROM AUTHOR]

Abstract There are clear connections between ecosystem services (ES) and human health, as well as between soils and human health. However, studies to date have not investigated links between soil ES and human health. Viewing the relationship between soils and human health through the ES lens reveals that soil ES such as the provisioning of shelter, clothing, and fuel have been overlooked in the soil and human health literature. Shelter is important to human health because it provides protection against inclement weather, temperature extremes, and other potential threats. Clothing provides a more consistent micro-environment around the skin and also provides protection from ultraviolet radiation and some parasites. Fuel allows us to warm shelters, providing refuge from cold temperatures, and cook food, which reduces disease. The materials supplied by soils in support of these functions are often done so in a more environmentally responsible way than is the case with many modern building and clothing materials or with fossil fuels. However, it is important to realize that sustainable management practices are critical in order to achieve environmentally responsible production of these products. Future studies need to investigate the links between these overlooked soil ES and human health. Graphical abstract Unlabelled Image Highlights • Shelter, clothing, and fuel are important to human health. • These are ecosystem services that can be supplied by soil. • They have been overlooked in soil and human health studies. • Modern methods of obtaining these are energy and resource intensive. • Sustainable practices can supply these from soil in an environmentally responsible way. [ABSTRACT FROM AUTHOR]

Vineyards incur the highest soil and water losses among all Mediterranean agricultural fields. The state-of-the-art shows that soil erosion in vineyards has been primarily surveyed with topographical methods, soil erosion plots and rainfall simulations, but these techniques do not typically assess temporal changes in soil erosion. When vines are planted they are about 30 cm high × 1 cm diameter without leaves, the root system varies from 2 to over 40 cm depth, and sometimes the lack of care used during transplanting can result in a field with highly erodible bare soils. This means that the time since vine plantation plays a key role in soil erosion rates, but very little attention has been paid to this by the scientific community. Thus, the main goal of this research was to estimate soil losses and assess soil erosion processes in two paired vineyard plantations of different ages. To achieve this goal, the improved stock unearthing method (ISUM) was applied to vineyards on colluvial parent materials with similar soil properties, topographical characteristics and land managements in the Les Alcusses Valley, southwestern Valencia province, Spain. Our findings suggested that the old vineyards showed lower erosion rates (− 1.61 Mg ha − 1 yr − 1 ) than those that were recently planted (− 8.16 Mg ha − 1 yr − 1 ). This is because of the damage that the plantation of the vines causes to soil. Tillage after planting (4 times per year) resulted in changes in the inter-row and row morphology, promoting the development of a ridge underneath the vines that disconnected the inter-rows and reduced soil losses with time. After the second year and until the 25th year after plantation, soil erosion was approximately 1 Mg ha − 1 y − 1 , which means that most of the erosion took place during the first two years after the plantation. Soil conservation strategies should be applied immediately after the plantation works to allow sustainable grape production. That is when soil erosion most needs to be controlled. [ABSTRACT FROM AUTHOR]

Cation exchange capacity (CEC), as an important indicator for soil quality, represents soil's ability to hold positively charged ions. We attempted to predict CEC using different statistical methods including monotone analysis of variance (MONANOVA), artificial neural networks (ANNs), principal components regressions (PCR), and particle swarm optimization (PSO) in order to compare the utility of these approaches and identify the best predictor. We analyzed 170 soil samples from four different nations (USA, Spain, Iran and Iraq) under three land uses (agriculture, pasture, and forest). Seventy percent of the samples (120 samples) were selected as the calibration set and the remaining 50 samples (30%) were used as the prediction set. The results indicated that the MONANOVA (R 2 = 0.82 and Root Mean Squared Error (RMSE) = 6.32) and ANNs (R 2 = 0.82 and RMSE = 5.53) were the best models to estimate CEC, PSO (R 2 = 0.80 and RMSE = 5.54) and PCR (R 2 = 0.70 and RMSE = 6.48) also worked well and the results were very similar to each other. While the most influential variables for the various countries and land uses were different and CEC was affected by different variables in different situations, clay (positively correlated) and sand (negatively correlated) were the most influential variables for predicting CEC for the entire data set. Although the MANOVA and ANNs provided good predictions of the entire dataset, PSO gives a formula to estimate soil CEC using commonly tested soil properties. Therefore, PSO shows promise as a technique to estimate soil CEC. Establishing effective pedotransfer functions to predict CEC would be productive where there are limitations of time and money, and other commonly analyzed soil properties are available. [ABSTRACT FROM AUTHOR]

The beginning of the 20th century through the 1970s were good times for soil science in the USA, with relatively strong funding and overall growth in the profession. However, the soil science discipline in the USA hit hard times in the 1980s and 1990s. Federal funding for soil survey work began to decline as did student numbers in university programs and membership in the Soil Science Society of America (SSSA). Despite this, there were still many positive advances within soil science in the USA during these two decades. There was an increased use of geophysical instrumentation, remote sensing, geographic information systems (GIS), and global positioning systems (GPS), and research began in digital soil mapping, all of which lead to better understanding of the spatial distribution and variability of soils. Many NRCS soil products were put online, making them widely available to the general public, the use of soil knowledge was expanded into new areas such as archaeology and environmental work, and historic connections to geology were re-established. While expansion into new areas required soil science to evolve as a field, separating the discipline to an extent from its agricultural roots, it also helped reinvigorate the discipline. As we move through the early parts of the 21st century, student numbers are increasing in university soil science programs and membership in SSSA is at an all-time high. Digital soil mapping is being incorporated into the National Cooperative Soil Survey, and the impact of humans on the soil system is being fully recognized. The importance of soils is being recognized by events such as the United Nations declaration of 2015 as the “International Year of Soils”. The expansion of soils into new areas and widening recognition of the importance of soils gives the field hope for a bright future in the USA. [ABSTRACT FROM AUTHOR]

Interest in understanding America's soils goes back to prehistory with the Native Americans. Following European settlement, notable individuals such as Thomas Jefferson and Lewis and Clark made observations of the soil resource. Moving into the 1800s, state geological surveys became involved in soil work and E.W. Hilgard started to formulate ideas similar to those that would eventually lead to V.V. Dokuchaev being recognized as the father of modern soil science. However, Hilgard's advanced ideas on soil genesis were not accepted by the wider American soil science community at the time. Moving into the 1900s, the National Cooperative Soil Survey, the first nationally organized detailed soil survey in the world, was founded under the direction of M. Whitney. Initial soil classification ideas were heavily based in geology, but over time Russian ideas of soil genesis and classification moved into the American soil science community, mainly due to the influence of C.F. Marbut. Early American efforts at the scientific study of soil erosion and soil fertility were also begun in the 1910s and university programs to educate soil scientists started. Soil erosion studies took on high priority in the 1930s as the USA was impacted by the Dust Bowl. Soil Taxonomy, one of the most widely utilized soil classification systems in the world, was developed from the 1950s through the 1970s under the guidance of G.D. Smith and with the administrative support of C.E. Kellogg. American soil scientists, such as H. Jenny, R.W. Simonson, D.L. Johnson, and D. Watson-Stegner, developed influential models of soil genesis during the 20th Century, and the use of soil information moved beyond agriculture to include issues such as land-use planning, soil geomorphology, and the interactions between soils and human health. [ABSTRACT FROM AUTHOR]

There are many ways to measure the accomplishments of a scientist, such as papers and books published, citations, and prestige of journals published in, but we rarely gather information that allows us to evaluate the variety of influences that individual scientists have on the careers of others. Dan H. Yaalon was one of the most accomplished pedologists of the 20th and early 21st centuries. In this paper we gather personal testimonials of the impact Yaalon had on scientists working in the areas of interest to Yaalon. This allows us to qualitatively evaluate the impact of an influential scientist on his field through the ways that he influenced the career choices of others. We found that this influence occurred through 1) personal, face-to-face contact, 2) written correspondence between Yaalon and other scientists, both through letters and through email, and 3) Yaalon's written record itself, without any direct, personal interaction between Yaalon and the other scientists. This influence took place over multiple generations of scientists, ranging from individuals who are currently retired to those who are just now in the very early stages of their scientific careers. The Yaalon example makes clear how successful scientists make significant contributions to their fields of interest well beyond those indicated by commonly used measures. [ABSTRACT FROM AUTHOR]

Abstract: Many influential individuals involved in the early US soil survey program were trained as geologists rather than as agronomists or soil scientists. Several geology departments served as pipelines for students interested in a career in soil survey. This paper looks at the professional history of two early mentors of these geologists turned soil surveyors and some of the students they sent on to the US soil survey and other soil science careers. Collier Cobb sent over 10 students to the soil survey starting in 1900 when US soil survey was in its infancy, including individuals of note such as Hugh H. Bennett, George N. Coffey, Williamson E. Hearn, and Thomas D. Rice. Allen D. Hole worked on soil surveys for the state of Indiana and sent over a dozen students on to US soil survey careers between 1911 and 1937, including Mark Baldwin and James Thorp. Francis Hole and Ralph McCracken, other students of Allen Hole, also went on to have distinguished soil science careers. These mentors and students clearly show the close ties that existed between soil science and geology in the United States during the early 1900s. [ABSTRACT FROM AUTHOR]

There has been considerable interest in geodiversity and pedodiversity studies over the last approximately 30 years. Pedodiversity is considered part of geodiversity, but in practice they involved different experts and traditions. There are many common aspects that could be shared by all natural diversity studies, however, these common aspects have not been adequately studied and debated. Quantitative techniques that were developed and refined by biodiversity researchers over multiple decades of biodiversity studies should also be applicable to geodiversity and pedodiversity studies. Soil scientists studying pedodiversity followed the same techniques as mathematical ecologists, but geologists studying geodiversity focused on the implementation of proposals aimed at preserving geological heritage and popularising it among the general public. Therefore, pedodiversity and geodiversity diverged and it is not currently possible to compare the results of geodiversity and pedodiversity research. To reach a point where these research results could be compared, it will be necessary to (i) follow uniform mathematical procedures in both these fields and their subfields and (ii) develop universal taxonomies that will be followed for each of the natural resources (fossils, landforms, minerals, soils, etc.) being investigated. Geodiversity studies should move beyond the objective of proposing projects to preserve natural areas of geological value for economic and social purposes (geoparks, geotourism) and extend to attempts to quantify and compare biotic and abiotic diversity and its consequences. If we want to move forward, with a view to achieving a more mature discipline and a true new paradigm, both communities of experts must act synergistically. • Natural diversity work has developed differently in different fields. • This makes diversity comparisons between fields impossible. • Standardization of techniques would allow universal diversity evaluations. • Universally used taxonomic systems are also needed. [ABSTRACT FROM AUTHOR]

Abstract There are a large number of investigations that estimate available soil phosphorous (P), but a paucity of global data on available soil P. One significant modern challenge is developing low cost, accurate approaches to predict available soil P that are useful to scientists around the world. We conducted a global meta-analysis using data on available soil P from 738 sites, 640 in the USA and 149 in 14 other countries. Four different methods of determining available soil P, New Zealand (NZ), acid oxalate, Bray and Mehlich 3 were represented in the dataset. Inputs evaluated for inclusion in the pedotransfer functions to predict available soil P were clay (C), fine silt, (FSi) coarse silt (CSi), very fine sand (VFS), fine sand (FS), medium sand (MS), coarse sand (CS), very coarse sand (VCS), organic carbon (OC), pH, calcium (Ca), magnesium (Mg), potassium (K), iron (Fe), aluminum (Al), and manganese (Mn). Available soil P was estimated for: 1) the entire dataset, 2) only the USA, and 3) the non-USA dataset. The best models to estimate available soil P were obtained for the NZ method (using the co-variates C, FSi, CSi, VFS, MS, CS, OC, Fe, Al, Mn, Ca, Mg, and pH) and for the acid oxalate method (using the co-variates C, FSi, Fe, Al, Mn, Ca, and Mg). Although estimation of available soil P determined with the acid oxalate method was poor for the entire dataset, good estimates were obtained for the USA and non-USA datasets separately. Models for the Bray and Mehlich 3 methods only predicted available soil P well for the non-USA dataset. Using pedotransfer function models to estimate available soil P could provide an efficient and cost effective way to estimate global distributions of a soil property that is important for a number of agricultural and environmental reasons. Graphical abstract Unlabelled Image Highlights • There is not a global pedotransfer function for available soil P. • Pedotransfer functions were developed using global data from the NRCS database. • Linear and non-linear models were tested for 4 P tests and 3 geographic distributions. • Promising results were obtained for the New Zealand test non-linear function. • Results were mixed for other tests. [ABSTRACT FROM AUTHOR]

Soil pH, electrical conductivity (EC), organic matter (OM), available phosphorus (AP), and potassium (AK) are some of the most important indicators of soil fertility. These soil parameters are highly variable in space and time, especially in agricultural areas, with implications for crop production. The aim of this work was to study the spatial variability of pH, EC, OM, AP and AK using kriging and co-kriging methods in the Rasa River Valley (Croatia). As co-variates for each variable we considered the distance from the sea (DFS), distance from the river channels (DFC), pH, EC, OM, AP and AK. Only the variables with a significant correlation with the predictor were used as predictor variables. The results showed that soils of the study area had high pH, EC, OM and AK values and a low concentration of AP. The spatial variability was high for EC and low for pH levels. pH, EC, OM and AK had significant positive correlations. All these variables had significant negative correlations with AP. The exponential model was the best to model OM, AK and AP. Spherical and Gaussian models were the most accurate to model pH and EC. Spatial dependence was high for soil AK, EC and pH, and moderate for soil OM and AP. The incorporation of auxiliary variables increased the precision of the estimations. CoK_DFS was the best method to predict soil EC and AP, while Cok_EC, was better to estimate soil pH and Cok_pH and Cok_OM predicted soil OM and AK with the best accuracy. The maps produced with the best predictors showed that pH, EC, OM and AK had high levels in the northern and eastern parts of the study area. The opposite trend was identified in relation to the AP spatial pattern. [ABSTRACT FROM AUTHOR]

Many maps (geology, hydrology, soil, vegetation, etc.) are created to inventory natural resources. Each of these resources is mapped using a unique set of criteria, including scales and taxonomies. Past research indicates that comparing results of related maps (e.g., soil and geology maps) may aid in identifying mapping deficiencies. Therefore, this study was undertaken in Almeria Province, Spain to (i) compare the underlying map structures of soil and vegetation maps and (ii) investigate if a vegetation map can provide useful soil information that was not shown on a soil map. Soil and vegetation maps were imported into ArcGIS 10.1 for spatial analysis, and results then exported to Microsoft Excel worksheets for statistical analyses to evaluate fits to linear and power law regression models. Vegetative units were grouped according to the driving forces that determined their presence or absence: (i) climatophilous (ii) lithologic-climate; and (iii) edaphophylous. The rank abundance plots for both the soil and vegetation maps conformed to Willis or Hollow Curves, meaning the underlying structures of both maps were the same. Edaphophylous map units, which represent 58.5% of the vegetation units in the study area, did not show a good correlation with the soil map. Further investigation revealed that 87% of the edaphohygrophilous units were found in ramblas, ephemeral riverbeds that are not typically classified and mapped as soils in modern systems, even though they meet the definition of soil given by the most commonly used and most modern soil taxonomic systems. Furthermore, these edaphophylous map units tend to be islands of biodiversity that are threatened by anthropogenic activity in the region. Therefore, this study revealed areas that need to be revisited and studied pedologically. The vegetation mapped in these areas and the soils that support it are key components of the earth's critical zone that must be studied, understood, and preserved. [ABSTRACT FROM AUTHOR]

Soil organic carbon (SOC) plays a critical role in the global carbon (C) cycle, and C sequestration in forest soils can represent a C sink. A relevant question is how does SOC changes in space and time; consequently, the study of the influence of topographic aspect on SOC stocks (SOCS) is very important to build a complete understanding of the soil system. In this line, four topographic aspects, north (N), south (S), east (E) and west (W) were studied under two different plant communities; native forests (NF) and reforested areas (RF) in the Despeñaperros Natural Park (S Spain). Five soil profiles were sampled at each of six different sites, 2 sites for NF (N and E) and 4 sites for RF (N, S, E and W). Soil properties were studied at different depths using soil control sections (S1: 0–25 cm; S2: 25–50 cm; S3: 50–75 cm). The results indicate that RF (N: 147.1 Mg ha − 1 ; E: 137.3 Mg ha − 1 ; W: 124.9 Mg ha − 1 and S: 87.0 Mg ha − 1 ) had increased total SOCS compared to NF (N: 110.4 Mg ha − 1 and E: 80.9 Mg ha − 1 ), and that SOCS in the N position were higher than in the other topographic aspects. Therefore, the results suggest that topographic aspect should be included in SOCS models and estimations at local and regional scales. [ABSTRACT FROM AUTHOR]

• The Tellus and LUCAS databases were used to explore soil spatial variability. • Elevation was the most influential covariate to model target soil properties. • Spatial maps produced from kriging techniques showed high accuracy. • Generated maps would be useful for site-specific management options evaluation. • A strong spatial structure was found for the fractal parameters. Understanding how topography affects the distribution of soil properties is essential in the management of landscape hydrology and establishment of sustainable soil management practices. This study investigated the impact of topography on the variation in particle size distribution, coarse fragments, and soil bulk density using different interpolation techniques and fractal analysis. It also evaluated the performance of various interpolation techniques in predicting and characterizing the distribution of soil properties. The study was conducted using data from 620 samples extracted from the Tellus and LUCAS databases in Eglinton and Castlederg counties, Northern Ireland. Terrain attributes were obtained at a 30 × 30 m resolution using a global digital elevation model (GDEM) reintroduced to the Universal Transverse Mercator (UTM) projection. Interpolation analyses were conducted using inverse distance weighting (IDW), ordinary kriging (OK), block kriging (BK) and co-kriging (CK). Among the terrain attributes, elevation was the most influential covariate for CK. In addition, fractal analysis was conducted to assess the self-similarity of the soil properties. Prediction accuracy of the interpolation methods was evaluated using the Nash-Sutcliffe efficiency, mean absolute error, index of agreement, and Pearson correlation coefficient. Spatial maps produced from the kriging techniques showed high accuracy in the prediction of soil particle size distribution and bulk density. The use of elevation as an auxiliary variable was successful in producing accurate soil property distribution maps with CK. The fractal parameters showed that the soil properties had short range spatial variability, anti-persistent nature, and strong spatial structure. Additionally, the fractal dimension was strongly correlated with sand, silt and clay contents and bulk density, and weakly correlated with the coarse fragments. [ABSTRACT FROM AUTHOR]

Rangelands in SW Spain constitute the most extensive ranching system on the Iberian Peninsula. During the last few decades, a significant increase in livestock numbers, along with a progressive substitution of cattle for sheep, have led to land degradation processes such as the reduction of grass cover and increased soil compaction in heavily grazed areas. Nevertheless, a better understanding of how soil compaction affects grass production is still needed. In this study, some of the effects of soil compaction due to heavy grazing are analysed, mainly the reduction of the frequency of herbaceous roots and its relationships with bulk density and soil penetration resistance. The study was carried out in 22 fenced areas grazed under different intensities (animal stocking rates: 0.19–15.76 AU ha − 1 ). Undisturbed soil core and bulk samples were collected at 3 depth intervals in order to determine select soil properties (texture, organic matter content, and bulk density). Additionally, soil penetration resistance was quantified at 890 random points at different depths and soil moisture contents. Frequency of herbaceous roots was estimated for each soil horizon in 47 soil profiles and categorized into 4 classes: none, few, common and many. Results showed negative relationships between bulk density (> 10 cm depth) and the content of soil organic matter from 0 to 5 cm ( r = − 0.061, p < 0.05) and 5–10 m depth ( r = − 0.824, p < 0.005). Furthermore, a tendency for decreasing mean values of soil penetration resistance as the frequency of herbaceous roots increased was also observed. The values observed confirm that soil compaction provoked by an excessive number of animals reduced the quantity of herbaceous roots. The value of 2 MPa traditionally accepted as restrictive for root growth is discussed. Findings presented here could be of interest for policy makers and farm owners to guide decisions about optimum animal stocking rates. [ABSTRACT FROM AUTHOR]

Soil scientists have tested various models to predict soil physical, chemical and biological properties over the last few decades. Determination of soil phosphorus (P) in soils is difficult due to the sensitivity of its measurement, especially in developing nations because of lack of sufficient facilities and limitation of financial resources. In this study, advanced statistical methods (intelligent and regression models) were evaluated, such as genetic algorithm (GA), artificial neural network (ANN), fuzzy inference system (FIS), adaptive neuro-fuzzy inference system (ANFIS), partial least squares (PLS), principal components regression (PCR), ordinary least squares (OLS) and multiple regression (MR), to determine the best model to predict P. This research was carried out at Mazandaran Research Center of Agricultural and Natural Resources, Sari, Iran. Four properties of soils, clay, sand, soil organic matter (SOM) and pH were presented to the models as independent parameters to predict soil P. Such advanced quantitative models have never been compared with each other in order to find the best model for prediction. The results revealed that PLS (among regression models) and GA and ANN (among intelligent models) are promising approaches for the estimation of soil P with higher R 2 and value account for (VAF) and lower mean absolute percentage error (MAPE) and root mean square error (RMSE) compared to the other models. The ANN model predicted soil P more accurately than the other models with R 2 = 0.912 and RMSE = 4.019. The GA and PLS models both provided formulas to predict soil P with good fits. Results of the sensitivity analysis showed that SOM was a more effective factor predicting soil P relative to the other variables and SOM provides an important source of P in soil. [ABSTRACT FROM AUTHOR]

Spring grassland fires are common in boreal areas as a consequence of slash and burn agriculture used to remove dry grass to increase soil nutrient properties and crop production. However, few works have investigated fire impacts on these grassland ecosystems, especially in the immediate period after the fire. The objective of this work was to study the short-term impacts of a spring grassland fire in Lithuania. Four days after the fire we established a 400 m 2 sampling grid within the burned area and in an adjacent unburned area with the same topographical, hydrological and pedological characteristics. We collected topsoil samples immediately after the fire (0 months), 2, 5, 7 and 9 months after the fire. We analysed soil pH, electrical conductivity (EC), major nutrients including calcium (Ca), magnesium (Mg), sodium (Na), and potassium (K), and the minor elements aluminium (Al), manganese (Mn), iron (Fe) and zinc (Zn). We also calculated the soil Na and K adsorption ratio (SPAR), Ca:Mg and Ca:Al. The results showed that this low-severity grassland fire significantly decreased soil pH, Al, and Mn but increased EC, Ca, Mg, and K,. There was no effect on Na, Fe, and Zn. There was a decrease of EC, Ca, Mg, and Na from 0 months after the fire until 7 months after the fire, with an increase during the last sampling period. Fire did not significantly affect SPAR. Ca:Mg decreased significantly immediately after the fire, but not to critical levels. Ca:Al increased after the fire, reducing the potential effects of Al on plants. Overall, fire impacts were mainly limited to the immediate period after the fire. [ABSTRACT FROM AUTHOR]

Agricultural expansion in the Mediterranean resulted in plant and soil degradation due to the intensive use, climate conditions, and rugged terrain. After abandonment, the recovery of vegetation contributed to improvement in soil quality from a hydrological, pedological and geomorphological point of view. This paper shows three examples of ecosystem evolution in abandoned fields in Valencia, Murcia and Andalucia and the application of different methodological approaches that resulted in similar findings. In Valencia, the main responses were the recovery of vegetation after land abandonment and an increase in organic matter and infiltration capacity of soils. In Murcia, with the exception of some terraced areas on marls, where erosion processes following abandonment were important, land abandonment resulted in vegetation recovery, improved soil properties, and reduced surface wash and soil losses. In Andalucia, research along climatological gradients showed the relationship between vegetation patterns and soil moisture and the control that climate exerts on hydrological and erosive behaviour. The experimental research conducted in three different regions in Western Mediterranean demonstrated that abandonment can result in recovery of the geo-ecosystem as vegetation and soil quality improvements were shown. The marls areas in Murcia were the exception with low soil quality and low vegetation cover, and as a consequence showed evidence of high erosion rates after abandonment. [ABSTRACT FROM AUTHOR]

Soil management has important effects on soil properties, runoff, soil losses and soil quality. Traditional olive grove (OG) management is based on reduced tree density, canopy size shaped by pruning and weed control by ploughing. In addition, over the last several decades, herbicide use has been introduced into conventional OG management. These management strategies cause the soil surface to be almost bare and subsequently high erosion rates take place. To avoid these high erosion rates several soil management strategies can be applied. In this study, three strategies were assessed in OG with conventional tillage in three plots of 1 ha each. Soil properties were measured and soil erosion rates were estimated by means of the RUSLE model. One plot was managed with no amendments (control), and the other two were treated with olive leaves mulch and oil mill pomace applied yearly from 2003 until 2013. The control plot experienced the greatest soil loss while the use of olive leaves as mulch and olive mill pomace as an amendment resulted in a soil loss reduction of 89.4% and 65.4% respectively (assuming a 5% slope). In addition, the chemical and physical soil properties were improved with the amendments. This combined effect will created a higher quality soil over the long term that it is more resilient to erosion and can provide better ecosystem services, as its functions are improved. [ABSTRACT FROM AUTHOR]

Soil pollution is a key component of the land degradation process, but little is known about the impact of soil pollution on human health in the urban environment. The heavy metals Pb, Zn, Cu, Cr, Cd and Ni were analyzed by acid digestion (method EPA 3050B) and a total of 15 dust samples were collected from streets of three sectors of the city with different land uses; commercial, residential and a highway. The purpose was to measure the concentrations of heavy metals in road sediment samples taken from urban sites under different land uses, and to assess pollution through pollution indices, namely the ecological risk index and geoaccumulation index. Heavy metals concentrations (mg/kg) followed the following sequences for each sector: commercial sector Pb (1289.4) > Cu (490.2) > Zn (387.6) > Cr (60.2) > Ni (54.3); highway Zn (133.3) > Cu (126.3) > Pb (87.5) > Cr (9.4) > Ni (5.3); residential sector Zn (108.3) > Pb (26.0) > Cu (23.7) > Cr (7.3) > Ni (7.2). The geoaccumulation index indicated that the commercial sector was moderately to strongly polluted while the other sectors fell into the unpolluted category. Similarly, using the ecological risk index the commercial sector fell into the considerable category while the other sectors classified as low risk. Road dust increased along with city growth and its dynamics, additionally, road dust might cause a number of negative environmental impacts, therefore the monitoring this dust is crucial. [ABSTRACT FROM AUTHOR]

Soil erosion is extreme in Mediterranean orchards due to management impact, high rainfall intensities, steep slopes and erodible parent material. Vall d'Albaida is a traditional fruit production area which, due to the Mediterranean climate and marly soils, produces sweet fruits. However, these highly productive soils are left bare under the prevailing land management and marly soils are vulnerable to soil water erosion when left bare. In this paper we study the impact of different agricultural land management strategies on soil properties (bulk density, soil organic matter, soil moisture), soil water erosion and runoff, by means of simulated rainfall experiments and soil analyses. Three representative land managements (tillage/herbicide/covered with vegetation) were selected, where 20 paired plots (60 plots) were established to determine soil losses and runoff. The simulated rainfall was carried out at 55 mm h − 1 in the summer of 2013 (< 8% soil moisture) for one hour on 0.25 m 2 circular plots. The results showed that vegetation cover, soil moisture and organic matter were significantly higher in covered plots than in tilled and herbicide treated plots. However, runoff coefficient, total runoff, sediment yield and soil erosion were significantly higher in herbicide treated plots compared to the others. Runoff sediment concentration was significantly higher in tilled plots. The lowest values were identified in covered plots. Overall, tillage, but especially herbicide treatment, decreased vegetation cover, soil moisture, soil organic matter, and increased bulk density, runoff coefficient, total runoff, sediment yield and soil erosion. Soil erosion was extremely high in herbicide plots with 0.91 Mg ha − 1 h − 1 of soil lost; in the tilled fields erosion rates were lower with 0.51 Mg ha − 1 h − 1 . Covered soil showed an erosion rate of 0.02 Mg ha − 1 h − 1 . These results showed that agricultural management influenced water and sediment dynamics and that tillage and herbicide treatment should be avoided. [ABSTRACT FROM AUTHOR]