Characterization of Slightly and Moderately Saline and Sodic Soils in Irrigated Agricultural Land using Simulated Data of Advanced Land Imaging (EO‐1) Sensor

Around the world, especially in semi‐arid regions, millions of hectares of irrigated agricultural land are abandoned each year because of the adverse effects of irrigation, mainly secondary salinity and sodicity. Accurate information about the extent, magnitude, and spatial distribution of salinity and sodicity will help create sustainable development of agricultural resources. In Morocco, south of the Mediterranean region, the growth of the vegetation and potential yield are limited by the joint influence of high temperatures and water deficit. Consequently, the overuse of surface and groundwater, coupled with agricultural intensification, generates secondary soils salinity and sodicity. This research focuses on the potential and limits of the advance land imaging (EO‐1 ALI) sensor spectral bands for the discrimination of slight and moderate soil salinity and sodicity in the Tadla's irrigated agricultural perimeter, Morocco. To detect affected soils, empirical relationships (second‐order regression analysis) were calculated between the electrical conductivity (EC) and different spectral salinity indices. To achieve our goal, spectroradiometric measurements (350 to 2500 nm), field observation, and laboratory analysis (EC of a solution extracted from a water‐saturated soil), and soil reaction (pH) were used. The spectroradiometric data were acquired using the ASD (analytical spectral device) above 28 bare soil samples with various degrees of soil salinity and sodicity, as well as unaffected soils. All of the spectroradiometric data were resampled and convolved in the solar‐reflective spectral bands of EO‐1 ALI sensor. The results show that the SWIR region is a good indicator of and is more sensitive to different degrees of slight and moderate soil salinity and sodicity. In general, relatively high salinity soils show higher spectral signatures than do sodic soils and unaffected soils. Also, strongly sodic soils present higher spectral responses than moderately sodic soils. However, in spite of the improvement of EO‐1 ALI spectral bands by comparison to Landsat‐ETM+, this research shows the weakness of multispectral systems for the discrimination of slight and moderate soil salinity and sodicity. Although remote sensing offers good potential for mapping strongly saline soils (dry surface crust), slight and moderately saline and sodic soils are not easily identified, because the optical properties of the soil surfaces (color, brightness, roughness, etc.) could mask the salinity and sodicity effects. Consequently, their spatial distribution will probably be underestimated. According to the laboratory results, the proposed Soils Salinity and Sodicity Indices (SSSI) using EO‐1 ALI 9 and 10 spectral bands offers the most significant correlation (52.91%) with the ground reference (EC). They could help to predict different spatial distribution classes of slight and moderate saline and sodic soils using EO‐1 ALI imagery data.     

Constraints to farmers managing dryland salinity in the central wheatbelt of Western Australia

There is an increasingly well‐founded understanding of the chief drivers and constraints to widespread adoption by Australian landholders to practices to manage dryland salinity. However, each specific situation depends on a range of biophysical, social and economic factors. Such is the case in this study that examines farmers' salinity management in the Wallatin‐O'Brien catchments in the low‐medium rainfall zone of the Western Australian wheatbelt. The study involved interviews with landholders and economic modelling of representative farms and salinity management options to gain an understanding of the farmers' adoption behaviour regarding salinity management. Most landholders interviewed saw dryland salinity as a second order farm management issue, due first to the relatively slow rate of expansion of saline land within the catchments and second, because the changes in land use required to prevent further loss of land to salinity were viewed as being uneconomic. The exception to this was the minority (<15 per cent) of farmers in the catchment that have most of the saline land and have experienced most of the recent increase, and for these farmers (primarily located in the valley floor) salinity is a pressing issue. The scale and pattern of isolated outbreaks on adjacent slopes means that salinity is merely a nuisance problem for farmers who only have this type of salinity. For all farmers, a disincentive to invest in salinity management was the landholders' lack of knowledge about the proper placement, needed scale of adoption and economic viability of salinity management options. Saltland pastures, surface water management and lucerne were viewed positively, with several desirable characteristics such as ease of trialling and complementarity to existing farm practices. By contrast, engineering options such as deep drainage, where considerable investment is involved and disposal of groundwater is problematic, were rated less favourably. Bioeconomic modelling of these salinity management options generated results that largely confirmed the merits of what landholders in the catchments currently do. The findings showed that there was little economic merit in wide‐scale adoption of these salinity management options in these catchments. However, the findings did highlight the need to match salinity management options to a farm's particular circumstance, if best use of the options is to be made by the different farms in the catchments. Copyright © 2009 John Wiley & Sons, Ltd.     

Productivity enhancement of salt‐affected environments through crop diversification

Recent trends and future demographic projections suggest that the need to produce more food and fibre will necessitate effective utilization of salt‐affected land and saline water resources. Currently at least 20 per cent of the world's irrigated land is salt affected and/or irrigated with waters containing elevated levels of salts. Several major irrigation schemes have suffered from the problems of salinity and sodicity, reducing their agricultural productivity and sustainability. Productivity enhancement of salt‐affected land and saline water resources through crop‐based management has the potential to transform them from environmental burdens into economic opportunities. Research efforts have led to the identification of a number of field crops, forage grasses and shrubs, aromatic and medicinal species, bio‐fuel crops, and fruit tree and agroforestry systems, which are profitable and suit a variety of salt‐affected environments. Several of these species have agricultural significance in terms of their local utilization on the farm. Therefore, crop diversification systems based on salt‐tolerant plant species are likely to be the key to future agricultural and economic growth in regions where salt‐affected soils exist, saline drainage waters are generated, and/or saline aquifers are pumped for irrigation. However, such systems will need to consider three issues: improving the productivity per unit of salt‐affected land and saline water resources, protecting the environment and involving farmers in the most suitable and sustainable crop diversifying systems to mitigate any perceived risks. This review covers different aspects of salt‐affected land and saline water resources, synthesizes research knowledge on salinity/sodicity tolerances in different plant species, and highlights promising examples of crop diversification and management to improve and maximize benefits from these resources. Copyright © 2008 John Wiley & Sons, Ltd.     

A web‐based approach to improve collation and communication of complex soil‐landscape data with examples relating to agricultural production,environmental degradation and mineral exploration

This paper provides examples of how to use web‐based techniques to organize and communicate large quantities of complex and varied soil and landscape data. It describes a straightforward method for creating an interactive, web‐based data site that can be used to facilitate more rapid and effective communication between project staff (scientists and managers) and clients (farmers and land managers). This can facilitate teleconferences between team members and be used to communicate information and ideas. Consequently, it reduces costs associated with travel and makes it easier to interpret data during collection. The web‐based data site can be used to deliver easily understood final reports to clients that may have limited background knowledge in a particular area. Additionally, it provides a sufficiently logical and intuitive user interface for use by a wide range of end‐users including farmers, land managers, policy makers and the general public. This approach has been used successfully to provide a framework to coordinate and report on the large quantities of complex data generated during the following three diverse projects: (i) a study of base metal exploration methods in an area impacted by mining and land clearance in the Mount Lofty Ranges in South Australia, (ii) acid drainage issues impacting on agricultural production in the Wheatbelt of Western Australia and (iii) inland acid sulphate soils impacting on land degradation and water quality in wetlands adjacent to the River Murray in the Riverland region of South Australia.     

Spatial and temporal trends in soil salinity for identifying perched and deep groundwater systems

Characterization of spatial and temporal variability in water flow and solute transport to foster better land management in salt‐affected landscapes requires direct hydrological observation, for example using suites of nested piezometers and dip wells. Such methods are costly to install and produce data with low spatial density, so are not ideal for supporting within‐field scale land management decisions. We present a new methodology to characterize water‐flow systems in salt‐affected landscapes using trends in shallow (<1 m) down‐profile soil salinity based on electrical conductivity of saturated paste extract (EC_se) and salts (that is the water extractable major ions of Ca, K, Mg, Na, P, Cl and S mg/kg) from a range of topographic settings. This involved coupling seasonal (late winter and late summer) salinity trends with clay percent (for soil morphology) and terrain patterns to understand the connectivity between perched and deep groundwater systems in a 120 ha catchment in the Mount Lofty Ranges, South Australia. From investigations at 19 sites in the catchment comprising toposequences or paired sites (in close proximity, but in different topographic settings), soil salinity trends revealed four hydro‐pedological systems: (i) a perched freshwater system with no hydraulic connectivity to the deep groundwater in upper slopes, (ii) an intermediate system comprising perched freshwater connected to a deep groundwater system in mid and upper slopes, (iii) a deep groundwater system in upper slopes, and (iv) a deep groundwater system in lower slopes. Although most of the 19 sites proved non‐saline, seasonal changes in EC_se and ion concentration along with topography and soil morphology were sufficient to characterize the hydro‐pedological systems. We assigned these systems to a newly developed salinity classification based on dominant soil‐regolith‐hydrological processes and designed to support land management decisions. Conceptual hydro‐pedological models for each system were constructed to illustrate and explain the important interactions in each and how these relate to the new salinity classification. We propose that the methodology based on seasonal monitoring offers a new approach to landscape‐based hydro‐pedological characterization without reliance on the traditional groundwater monitoring methods. The new method offers wider access to catchment hydro‐pedological information to support better land management decisions in sloping landscapes subject to salinity.     

Sustainable land and water management policies and practices: a pathway to environmental sustainability in large irrigation systems

Water cycle, land management, and environmental sustainability are intimately linked. Sustainable land and water management practices are vital for sustaining agricultural productivity and regional development. Unsustainable land and water management practices that violate the system's carrying capacity constraint over long periods can impose significant costs in terms of lost opportunities in farm production and regional development, say by causing waterlogging and salinity. On‐farm and regional salt and water balance dynamics are modeled as a sustainability or carrying capacity constraint, proxied by regional salt and water balance; on‐farm land and water management practices are then adjusted to meet the constraint, such that individual actions do not lead to a net change in the ground water and salt balance. Common actions across the farms would achieve the overall environmental sustainability. An irrigated area in southern Murray‐Darling Basin in Australia serves as a case study example. Integrated hydrologic, economic, agricultural, and environmental models called SWAGMAN series are used to evaluate the impacts of a range of on‐farm interventions on farm income and environmental sustainability. The results show that policies such as restrictions on area under certain crops, and tradable groundwater recharge/salinity credits both offer higher total gross margin and net present value than the business as usual scenario, specifically in the long run—win–win options for the farmers and the environment. The modeling results thus confirm the widely held view that unsustainable land and water management practices that violate the system's carrying capacity can impose significant costs on regional communities. In‐depth hydrological and economic analyses are needed to shape and guide society's vision for sustainable land and water management. Copyright © 2008 John Wiley & Sons, Ltd.     

Genetic diversity, seed traits and salinity tolerance of Millettia pinnata (L.) Panigrahi, a biodiesel tree

The leguminous tree, Millettia pinnata (pongamia) produces oilseed suitable for biodiesel production. Assessment of oil production and genetic, morphological and physiological traits are required. Collections from the Forest Products Commission in Kununurra, Western Australia were compared with accessions from India, Indonesia, Queensland and the Northern Territory in Australia. Molecular diversity, examined using the internal transcribed spacer region, indicated distinctiveness of genotypes from Java, Indonesia. Seed traits varied across trees with the smallest seeds from Indonesia and the largest from Kununurra. Oil content varied across trees with a minimum of 28 % in an Indonesian accession and the highest of 45 % from Kununurra. Major fatty acids across trees were oleic (51 %), linoleic (19 %), palmitic (11 %) stearic (6 %), linolenic (4.5 %) and behenic (4.5 %) acids. Seed weight and oil content per seed of developing seeds increased with a sigmoid pattern and oleic acid was the major fatty acid throughout seed development. Waterlogging and salinity tolerance were assessed. Four month-old seedlings from Kununurra, Western Australia and India were exposed to: non-saline drained control, saline drained, non-saline waterlogged and saline waterlogged treatments. Seedlings were waterlogging tolerant. Salt, applied in weekly increments of 50 mM, led to reduced survival, height growth rate, leaf number and stomatal conductance and increased concentrations of leaf Na⁺ and Cl^?. Salinity tolerance was 200 mM NaCl under saline drained and 150 mM NaCl under waterlogged conditions. Milletia pinnata diversity could be exploited for selection of superior genotypes for oil production on marginal land.     

Can highly saline irrigation water improve sodicity and alkalinity in sodic clayey subsoils?

Purpose

The concept of irrigating crops with saline irrigation water is not new, but impacts of this practice on soil properties remain debatable, particularly the use of highly saline water. In this work, key soil chemical properties were assessed to a depth of 300 cm following 2.5 years of application of highly saline irrigation to a sodic texture-contrast soil (Brown Sodosol) in south-eastern Tasmania, Australia.

Materials and methods

Control plots (rainfall only) were compared to irrigation treatments of low (0.8 dS/m) and high salinity (16 dS/m) waters at application rates of both 200 and 800 mm/year.

Results and discussion

Whilst significant increases in both electrical conductivity and chloride concentration occurred throughout the soil profile in the high salinity treatment, these values were well below those of the irrigation water, indicating effective deep leaching. In the upper soil profile, 0–50 cm, of the high salinity treatments both the exchangeable Na⁺ and its ratio to total base cations (ESP) were significantly increased whilst the lower soil profile between 50 and 200 cm, was improved via both reduced alkalinity and sodicity. Leaching of the exchangeable base cations Ca²⁺, Mg²⁺ and K⁺ was significant in the upper soil profile (0–50 cm). As expected, the low salinity treatment (0.8 dS/m) had minimal impacts on soil chemical properties. The upper topsoil (0–10 cm) total organic carbon was significantly reduced in the high salinity plots and was negatively correlated with Cl^? concentration.

Conclusions

The data confirms the general concerns about application of saline irrigation, namely increased whole profile salinisation and upper soil profile (0–50 cm) sodicity, but they also show unexpected and desirable reductions in the lower soil profile (>?50 cm) alkalinity and sodicity. It appears the Na⁺ ions present in the saline waters led to differential leaching of base cations from the rooting zone, especially Ca²⁺ which then ameliorate the alkalinity and sodicity deeper in the soil profile (>?50 cm). Thus, surface application of gypsum may help sustain the application of highly saline waters; alternatively, subsurface irrigation above the sodic clayey subsoils could be trailed.

     

Use of an electromagnetic technique to determine sodicity in saline-sodic soils

Soil sodicity is an increasing problem in arid‐land irrigated soils that decreases soil permeability and crop production and increases soil erosion. The first step towards the control of sodic soils is the accurate diagnosis of the severity and spatial extent of the problem. Rapid identification and large‐scale mapping of sodium‐affected land will help to improve sodicity management. We evaluated the effectiveness of electromagnetic induction (EM) measurements in identifying, characterizing and mapping the spatial variability of sodicity in five saline‐sodic agricultural fields in Navarre (Spain). Each field was sampled at three 30‐cm soil depth increments at 10–30 sites for a total of 267 soil samples. The number of Geonics‐EM38 measurements in each field varied between 161 and 558, for a total of 1258 ECa (apparent electrical conductivity) readings. Multiple linear regression models established for each field predicted the average profile ECe (electrical conductivity of the saturation extract) and SAR (sodium adsorption ratio of the saturation extract) from ECa. Despite the lack of a direct causal relationship between ECa and SAR, EM measurements can be satisfactorily used for characterizing the spatial distribution of soil sodicity if ECe and SAR are significantly auto‐correlated. These results provide ancillary support for using EM measurements to indirectly characterize the spatial distribution of saline‐sodic soils. More research is needed to elucidate the usefulness of EM measurements in identifying soil sodicity in a wider range of salt and/or sodium‐affected soils.     

Mapping Slight and Moderate Saline Soils in Irrigated Agricultural Land Using Advanced Land Imager Sensor (EO-1) Data and Semi-Empirical Models

Around the world, especially in semi-arid regions, millions of hectares of irrigated agricultural land are abandoned each year because of the adverse effects of irrigation, mainly secondary salinity and sodicity. Accurate information about the extent, magnitude, and spatial distribution of salinity and sodicity will help create the sustainable development of agricultural resources. In Morocco, south of the Mediterranean region, the growth of the vegetation and potential yield are limited by the joint influence of high temperatures and water deficit. Consequently, the overuse of surface and ground water, coupled with agricultural intensification, generates secondary soil salinity. Knowing when, where, and how salinity may occur is very important to the sustainable development of any irrigated production system. Remedial actions require reliable information to help set priorities and to choose the type of action that is most appropriate in each situation. Ground-based electromagnetic measurements of soil electrical conductivity (EC) are generally accepted as the most effective method for quantification of soil salinity. Unfortunately, these methods are expensive, time consuming, and need considerable human resources for land surveying. Moreover, the dynamic nature of soil salinity in space and time makes it more difficult to use conventional methods for comparisons over large areas. A major challenge of remote sensing, as a potential alternative technique, is to detect different levels of soil salinity. The main aim of this research is to assess the potential of the Advanced Land Imager (ALI) sensor on board the Earth Observing-1 (EO-1) satellite, with its rich infrared bands, for the discrimination and mapping of slight and moderate soil salinity in the Tadla’s irrigated agricultural perimeter in Morocco. To achieve this goal, semi-empirical predictive models developed in a previous study using second order regression analysis between the EC of salt-affected soils and different spectral salinity indices were applied to the ALI image. This was atmospherically corrected and the radiometric sensor drift was calibrated. Visual comparisons and statistical validation of these models using ground truth were undertaken in order to identify the best semi-empirical model for slight and moderate salinity mapping. The obtained results show that the model based on the Normalized Difference Salinity Index (NDSI) does not give any results. The model based on the Salinity Index-1 (SI-1) and the SI-Advanced Space-borne Thermal Emission and Reflection Radiometer (SI-ASTER) confuses vegetation with high soil salinity, although the model does bring out areas of lower salinity. Both R² of 0.67 for the SI-1 and 0.65 for the SI-ASTER further reinforce that these models cause too much confusion to be used with accuracy for salt-affected soil detection. The semi-empirical model based on Soil Salinity and Sodicity Index-1 (SSSI-1) performs better than the two last models. However, there is a relative confusion between the classes in the slight and moderate salinity and in areas that are shown by the validation map; the higher class of salinity does not appear to contain higher levels of salinity. The statistical validation of this model reinforces what is seen on the derived map with only an R² = 0.68. The model based on the SSSI-2 clearly provides the best results in comparison to the ground truth. Its derived map gives the closest overall visual approximation of the EC map, with a whole range of values. With a statistical validation of R² = 0.97 to the ground truth, it is by far the best performance of any of the other models, and the different classes are statistically well separated, which further reinforces the accuracy of the visual analysis.     

Effect of soil salinity and sodicity on Matricaria chamomilla,L. Growth

Abstract

Growth response of Matricaria chamomilla, L. was investigated on a range of soil salinity and sodicity levels using fine and coarse‐textured soil types. Twenty treatments including 4 levels of salinity and 4 levels of sodicity on each soil type were examined in addition to control. On the coarse‐textured soils, chamomile responded best under relatively low saline and sodic conditions. Plant growth decreased with increase in salinity and sodicity. On the fine‐textured soils, plants endured saline conditions up to 13 ECe and grew better under sodic conditions. The best growth of plants was achieved on fine‐textured soils with sodicity level of 31.8 Esp.     

SEVERITY OF SALINITY ACCURATELY DETECTED AND CLASSIFIED ON A PADDOCK SCALE WITH HIGH RESOLUTION MULTISPECTRAL SATELLITE IMAGERY

We hypothesised that digital mapping of various forms of salt‐affected soils using high resolution satellite imagery, supported by field studies, would be an efficient method to classify and map salinity, sodicity or both at paddock level, particularly in areas where salt‐affected patches are small and the effort to map these by field‐based soil survey methods alone would be inordinately time consuming. To test this hypothesis, QuickBird satellite data (pan‐sharpened four band multispectral imagery) was used to map various forms of surface‐expressed salinity in an agricultural area of South Australia. Ground‐truthing was performed by collecting 160 soil samples over the study area of 159 km². Unsupervised classification of the imagery covering the study area allowed differentiation of severity levels of salt‐affected soils, but these levels did not match those based on measured electrical conductivity (EC) and sodium adsorption ratio (SAR) of the soil samples, primarily because the expression of salinity was strongly influenced by paddock‐level variations in crop type, growth and prior land management. Segmentation of the whole image into 450 paddocks and unsupervised classification using a paddock‐by‐paddock approach resulted in a more accurate discrimination of salinity and sodicity levels that was correlated with EC and SAR. Image‐based classes discriminating severity levels of salt‐affected soils were significantly related with EC but not with SAR. Of the spectral bands, bands 2 (green, 520–600 nm) and 4 (near‐infrared, 760–900 nm) explained the majority of the variation (99 per cent) in the spectral values. Thus, paddock‐by‐paddock classification of QuickBird imagery has the potential to accurately delineate salinity at farm level, which will allow more informed decisions about sustainable agricultural management of soils. Copyright © 2011 John Wiley & Sons, Ltd.     

OPTIMAL FARM MANAGEMENT RESPONSES TO EMERGING SOIL SALINISATION IN A DRYLAND CATCHMENT IN EASTERN AUSTRALIA

Secondary salinisation of soil and water resources is an acute management issue over large parts of Australia. This paper focusses on the situation in the Liverpool Plains, where secondary soil salinity is on the increase due to rising saline groundwater tables. The Liverpool Plains are famous for the vast alluvial floodplains where self-mulching black clays provide the production basis for an extensive dryland cropping industry. The farmers there are asking how best to manage their resources under the present hydrological conditions, and are concerned whether their businesses will remain viable in the future. A multi-period programming model is applied to a model farm situation. The objective function reflects the economic paradigm of farming. The model includes a simulation sub-routine which links land use, rainfall and lateral groundwater flow into a point water balance and estimates the salt-affected area. A feedback relationship applies between soil salinity and land productivity. The results of the model suggest that the prevailing cropping practices that rely on long fallowing for soil moisture retention are sub-optimal. Increased cropping frequency increases farm income and reduces on-farm recharge to groundwater. Diversification into lucerne is favourable for the same reasons. Unless trees have commercial value, tree planting is not a favoured option except on salt-affected land. The farm achieves complete on-farm recharge control. However, assuming that the groundwater table rises at a rate of 10 cm per year independent of on-farm recharge, salinisation continues despite these land management changes. The subsequent land productivity losses render the model farm financially unviable in the medium term. Sustaining the productivity of the Liverpool Plains is an issue of reducing recharge to the groundwater system by changing land-use practices throughout the entire catchment. © 1997 John Wiley & Sons, Ltd.     

Optimal farm management responses to emerging soil salinisation in a dryland catchment in eastern Australia

Secondary salinisation of soil and water resources is an acute management issue over large parts of Australia. This paper focusses on the situation in the Liverpool Plains, where secondary soil salinity is on the increase due to rising saline groundwater tables. The Liverpool Plains are famous for the vast alluvial floodplains where self-mulching black clays provide the production basis for an extensive dryland cropping industry. The farmers there are asking how best to manage their resources under the present hydrological conditions, and are concerned whether their businesses will remain viable in the future. A multi-period programming model is applied to a model farm situation. The objective function reflects the economic paradigm of farming. The model includes a simulation sub-routine which links land use, rainfall and lateral groundwater flow into a point water balance and estimates the salt-affected area. A feedback relationship applies between soil salinity and land productivity. The results of the model suggest that the prevailing cropping practices that rely on long fallowing for soil moisture retention are sub-optimal. Increased cropping frequency increases farm income and reduces on-farm recharge to groundwater. Diversification into lucerne is favourable for the same reasons. Unless trees have commercial value, tree planting is not a favoured option except on salt-affected land. The farm achieves complete on-farm recharge control. However, assuming that the groundwater table rises at a rate of 10 cm per year independent of on-farm recharge, salinisation continues despite these land management changes. The subsequent land productivity losses render the model farm financially unviable in the medium term. Sustaining the productivity of the Liverpool Plains is an issue of reducing recharge to the groundwater system by changing land-use practices throughout the entire catchment. © 1997 John Wiley & Sons, Ltd.     

Dryland salinity and rainfall patterns: A preliminary investigation in central west New South Wales (Australia)

Dryland salinity is an increasingly serious land degradation problem in many parts of the world. Bare salinised ground leads to accelerated rates of sheet, rill and gully erosion; decreasing plant productivity; and declining surface water quality. In a given geological, climatic and land use situation, rainfall patterns may influence the changing extent of dryland salinity. This possibility was investigated for an area in Australia with long‐term rainfall records. Changes in salinisation were recorded using nine sets of aerial photographs. Saline sites fluctuated in size between photo‐years but their number and extent increased between 1958 and 1996, with sites along wash lines being especially responsive to rainfall variations. Saline areas generally decreased in size and number during the wet period from 1958 to the early 1970s, extended during drought years in the early 1980s, then increased markedly to 1996 during a period of above average rainfall. Three saline sites showed a broad inverse relationship between salinity (bare ground) extent and rainfall in the pre‐drought period but post‐drought trends showed increasing rainfall associated with increasing salinisation. Short‐term variations in salinity were superimposed on longer‐term expansion. Copyright © 2008 John Wiley & Sons, Ltd.     

Upland Farming System Erosion Yields and Their Constraints to Change for Sustainable Agricultural Conservation Practices: A Case Study of Land Use and Land Cover (LULC) Change in Indonesia

In the upper catchments of Southeast Asia, land use change from forest to agricultural systems generated land degradation and conflicts between uplanders and lowlanders. More sustainable cropping systems are proposed to upper‐catchment farmers. Grass fodder strip (GFS) is an effective anti‐erosion practice, and it involves lower costs for farmers. However, labour and cash constraints are sometimes preventing farmers to implement it. To evaluate farms' current impact and adaptation capacities, we need a comprehensive understanding of farm and farm household characteristics that influence their activities. This paper proposes an approach that combines farm household surveys and modelling of farm erosion yield to help project planners and policy makers to identify such farmers in a data‐scarce environment. We developed two farm typologies—one based on both farm and farm household characteristics and one based on their erosion yield and constraints. We calculated erosion yields on plot level by using revised universal soil loss equation method and identified their constraints. We found that a typology based on farm constraints and calculated farm erosion was a good complement to identify farmers who are generating the highest erosion yields and would be able to change their production systems. This methodology is mainly useful at the beginning of conservation projects, when very few hard data are available. Copyright © 2016 John Wiley & Sons, Ltd.     

Strategy for long term use of saline drainage water for irrigation in semi-arid regions

In arid and semi-arid regions, effluent from subsurface drainage is often saline and in the absence of a natural outlet, its disposal is a serious environmental threat. A field experiment was conducted for 7 years using drainage water of different salinity levels (EC_iw=6, 9, 12 and 18.8 dS/m) for irrigation of wheat during the dry winter season. The objective was to find whether crop production would still be feasible and soil salinity would not be increased unacceptably by this practice. The experimental crop was wheat during the winter season and pearl-millet and sorghum in the rainy season, grown on a sandy loam soil provided with subsurface drainage system. All crops were given a pre-plant irrigation with non-saline canal water and subsequently, saline drainage water of different salinity levels was used for the irrigation of wheat as per the treatment. On an average, the mean yield reduction in wheat yield at different EC_iw was 4.2% at 6, 9.7% at 9, 16.3% at 12 and 22.2% at 18.8 dS/m. Pearl-millet and sorghum yields decreased significantly only where 12 dS/m or higher salinity water was applied to previous wheat crop. The high salinity and sodicity of the drainage water increased the soil salinity and sodicity in the soil profile during the winter season, but these hazards were eliminated by the subsurface drainage during the ensuing monsoon periods. The results obtained provide a promising option for the use of poor quality drainage water for the irrigation of winter wheat without undue yield reduction and soil degradation.     

SOIL SALINITY AND SODICITY APPRAISAL BY ELECTROMAGNETIC INDUCTION IN SOILS IRRIGATED TO GROW COTTON

In the Far West Texas region in the USA, long‐term irrigation of fine‐textured valley soils with saline Rio Grande River water has led to soil salinity and sodicity problems. Soil salinity [measured by saturated paste electrical conductivity (EC_e)] and sodicity [measured by sodium adsorption ratio (SAR)] in the irrigated areas have resulted in poor growing conditions, reduced crop yields, and declining farm profitability. Understanding the spatial distribution of EC_e and SAR within the affected areas is necessary for developing management practices. Conventional methods of assessing EC_e and SAR distribution at a high spatial resolution are expensive and time consuming. This study evaluated the accuracy of electromagnetic induction (EMI), which measures apparent electrical conductivity (EC_a), to delineate EC_e and SAR distribution in two cotton fields located in the Hudspeth and El Paso Counties of Texas, USA. Calibration equations for converting EC_a into EC_e and SAR were derived using the multiple linear regression (MLR) model included in the EC_e Sampling Assessment and Prediction program package developed by the US Salinity Laboratory. Correlations between EC_a and soil variables (clay content, EC_e, SAR) were highly significant (p ≤ 0·05). This was further confirmed by significant (p ≤ 0·05) MLRs used for estimating EC_e and SAR. The EC_e and SAR determined by EC_a closely matched the measured EC_e and SAR values of the study site soils, which ranged from 0·47 to 9·87 dS m⁻¹ and 2·27 to 27·4 mmol^1/2 L^−1/2, respectively. High R² values between estimated and measured soil EC_e and SAR values validated the MLR model results. Results of this study indicated that the EMI method can be used for rapid and accurate delineation of salinity and sodicity distribution within the affected area. Copyright © 2012 John Wiley & Sons, Ltd.     

Subsurface drainage for reversing degradation of waterlogged saline lands

In irrigated agriculture of arid and semiarid regions waterlogging coupled with salinity is a serious problem. Experimental evidence at several locations has led to the realization that subsurface drainage is an essential intervention to reverse the processes of land degradation responsible for the formation of waterlogged saline lands. This paper presents the results of a study conducted from 1995 to 2000 to evaluate the impacts of subsurface drainage on soil properties, groundwater‐table behaviour and crop productivity in a waterlogged saline area of 2200 ha. A subsurface drainage system was installed at 1·6 m depth with 60 m drain spacing covering an area of 1200 ha (23 blocks) during 1997–99 and compared with an undrained block of 1000 ha. Subsurface drainage facilitated the reclamation of waterlogged saline lands and a decrease in the soil salinity (EC_e, dS m⁻¹) that ranged from 16·0 to 66·3 per cent in different blocks. On average, 35·7 per cent decrease in salt content was observed when compared with the initial value. Provision of subsurface drainage controlled the water‐table below the root zone during the monsoon season and helped in bringing the soil to optimum moisture content for the sowing of winter crops. In the drained area, the increase in yields of different crops ranged from 18·8 to 27·6 per cent. However, in the undrained area the yield of different crops decreased due to the increased waterlogging and soil salinity problems. Overall the results indicated that investment in subsurface drainage is a viable option for reversing the land degradation of waterlogged saline lands in a monsoon climate. Copyright © 2006 John Wiley & Sons, Ltd.