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Land cover change has been shown to affect soil characteristics and soil organic carbon (SOC) storage. However, little is known about the driving factors associated with soil carbon (C) stabilisation in complex landscapes. This study was conducted to investigate the effects of both inherent soil characteristics and recent vegetation cover change on soil aggregation and soil fraction associated C in a complex landscape. The specific objectives were: (1) determine bulk soil properties and SOC saturation deficit; (2) quantify soil aggregation, soil size-density fractions, and soil fraction associated C; and (3) identify the factors that influence soil fractions and soil fraction associated C in two adjacent catchments differing in vegetation cover, Central Otago, New Zealand. Catchment GH1 (n = 17 plots) was dominated by tussock grassland and native shrubs. Catchment GH2 (n = 21 plots) was converted from tussock grassland into a pine forest in 1981. The catchments differed in soil texture (e.g. sand content GH1: 62.9%, GH2: 50.7%, P = 0.007), soil SOC stocks (GH1: 5.0 kg C [m.sup.-2], GH2: 4.3 kg C [m.sup.-2], P = 0.04), mean weight diameter (MWD) (GH1: 782.3 [micro]m, GH2: 736.5 [micro]m, P = 0.002), and proportion of the macroaggregate heavy fraction (macro_HF) (GH1: 72%, GH2: 55%, P = 0.01). No significant differences were found in SOC saturation deficit (GH1: 14.8 mg [g.sup.-1], GH2: 13.1 mg [g.sup.-1], P = 0.13). Dominant vegetation cover explained 21% of the variation in MWD in GH1, whereas silt+clay C content explained 31.6% of the MWD variation in GH2. The macro_HF fraction was negatively correlated with the proportion of silt+clay. Our findings illustrate that physical and chemical soil characteristics are important drivers in such a complex landscape and may have masked the effect of recent vegetation change on soil aggregation, and soil fraction associated C. Additional keywords: land cover change, New Zealand, pine forest, shrub encroachment, size-density fractionation, soil aggregation, soil organic carbon saturation. Received 9 July 2018, accepted 1 February 2019, published online 7 March 2019, Introduction Soil is the largest terrestrial carbon (C) pool, storing four times more C than the biosphere and over three times more C than the atmosphere (Lai 2008; Stockmann et [...]

Despite the importance of soil physical properties on water infiltration and redistribution, little is known about the effect of variability in soil properties and its consequent effect on contaminant loss pathways. To investigate the effects of uncertainty and heterogeneity in measured soil physical parameters on the simulated movement of water and the prediction of nitrous oxide ([N.sub.2]O) emissions, we set up the Agricultural Production Systems sIMulator (APSIM) for different soil types in three different regions of New Zealand: the Te Kowhai silt loam and the Horotiu silt loam in the Waikato region, and the Templeton silt loam in the Canterbury region, and the Otokia silt loam and the Wingatui silt loam in the Otago region. For each of the soil types, various measured soil profile descriptions, as well as those from a national soils database (S-map) were used when available. In addition, three different soil water models in APSIM with different complexities (SWIM2, SWIM3, and SoilWat) were evaluated. Model outputs were compared with temporal soil water content measurements within the top 75 mm at the various experimental sites. Results show that the profile description, as well as the soil water model used affected the prediction accuracy of soil water content. The smallest difference between soil profile descriptions was found for the Templeton soil series, where the model efficiency (NSE) was positive for all soil profile descriptions, and the RMSE ranged from 0.055 to 0.069 [m.sup.3]/[m.sup.3]. The greatest difference was found for the Te Kowhai soil, where only one of the descriptions showed a positive NSE, and the other two profile descriptions overestimated measured topsoil water contents. Furthermore, it was shown that the soil profile description highly affects [N.sub.2]O emissions from urinary N deposited during animal grazing. However, the relative difference between the emissions was not always related to the accuracy of the measured soil water content, with soil organic carbon content also affecting emissions.Additional keywords: APSIM modelling, [N.sub.2]O emissions, soil water content, soil water module complexity.Received 23 March 2018, accepted 4 September 2018, published online 11 October 2018, IntroductionLand management models are increasingly being used to inform government policy that addresses challenges such as farming within environmental limits, and climate change mitigation and adaptation (Holzworth et al. 2017). [...]

The emission of nitrous oxide (N2O) from agricultural soils to the atmosphere is a significant contributor to anthropogenic greenhouse gas emissions. The recycling of organic nitrogen (N) in manure and crop residues may result in spatiotemporal variability of N2O production and soil efflux which is difficult to capture by process-based models. We propose a multi-species, reactive transport model to provide detailed insight into the spatiotemporal variability of nitrogen (N) transformations around such N2O hotspots, which consists of kinetic reactions of soil respiration, nitrification, nitrifier denitrification, and denitrification represented by a system of coupled partial differential equations. The model was tested with results from an incubation experiment at two different soil moisture levels (-30 and -100 hPa, respectively) and was shown to reasonably well reproduce the recorded N2O and dinitrogen (N2) emissions, and the dynamics of important carbon (C) and N components in soil. The simulation indicated that the four populations developed in closely connected, but separate layers, with denitrifying bacteria growing within the manure-dominated zone and nitrifying bacteria in the well-aerated soil outside the manure zone and with time also within the manure layer. The modeled N2O production within the manure zone was greatly enhanced by the combined effect of oxygen deficit, abundant carbon source and supply of nitrogenous substrates. In the wetter soil treatment with a water potential of -30 hPa, diffusive flux of nitrate (NO3-) across the manure-soil interface was the main source of NO3- for denitrification in the manure zone, while at a soil water potential of -100 hPa, diffusion became less dominant and overtaken by the co-occurrence of nitrification and denitrification in the manure zone. Scenarios were analyzed where diffusive transport of dissolved organic carbon or different mineral N species were switched off, and they showed that the simultaneous diffusion of NO3-, ammonium (NH4+), and nitrite (NO2-) were crucial to simulate the dynamics of N transformations and N2O emissions in the model. Without considering solute diffusion in process-based N2O models, the rapid turnover of C and N associated with organic hotspots can not be accounted for, and it may result in underestimation of N2O emissions from soil after manure application. The model and its parameters allow for new detailed insights into the interactions between transport and microbial transformations associated with N2O emissions in heterogeneous soil environments. [ABSTRACT FROM AUTHOR]

Investigation of land-use and management changes at regional scales require the linkage of farm-system models with land-resource information, which for pastoral systems includes forage supply. The New Zealand Land Resource Inventory (NZLRI) and associated Land Use Capability (LUC) database include estimates of the potential stock-carrying capacity across the country, which can be used to derive estimates of average annual pasture yields. Farm system models and decision support tools, however, require information on the seasonal patterns of pasture growth. To generate such pasture growth curves (PGCs), the Agricultural Production Systems Simulator (APSIM) was used, with generic soil profiles based on descriptions of LUC classes, to generate PGCs for three regions of New Zealand. Simulated annual pasture yields were similar to the estimates of annual potential pasture yield in the NZLRI spatial database, and they provided information on inter-annual variability. Simulated PGCs generally agreed well with measured long-term patterns of seasonal pasture growth. The approach can be used to obtain spatially discrete estimates of seasonal pasture growth patterns across New Zealand for use in farm system models and for assessing the impact of management practices and climate change on the regional sustainability. Additional keywords: cluster analysis, LUC soil profile descriptions, pasture growths curve., Introduction Pastoral agriculture is the major land use in New Zealand, covering -40% of the total land area. Of this land, -55% comprises improved pastures in flat to rolling terrain [...]

Modelling water and solute transport through soil requires the characterisation of the soil hydraulic functions; however, determining these functions based on measurements is time-consuming and costly. Pedotransfer functions (PTFs), which make use of easily measurable soil properties to predict the hydraulic functions, have been proposed as an alternative to measurements. The better known and more widely used PTFs were developed in the USA or Europe, where large datasets exist. No specific PTFs have been published for New Zealand soils. To address this gap, we evaluated a range of published PTFs against an available dataset comprising a range of different soils from New Zealand and selected the best PTFs to construct an ensemble PTF (ePTF). Assessment (and adjustment when required) of published PTFs was done by comparing measurements and estimates of soil water content and the hydraulic conductivity at selected matric suction values. For each point, the best two or three PTFs were chosen to compose the ePTF, with correcting constants if needed. The outputs of the ePTF are the hydraulic properties at selected matric suctions, akin to obtaining measurements, thus allowing the fit of different equations as well as combining any available measurements. Testing of the ePTF showed promising performance, with reasonably accurate estimates of the water retention of an independent dataset. Root mean square error values averaged 0.06 [m.sup.3] [m.sup.-3] for various New Zealand soils, which is within the accuracy level of published PTF studies. The largest errors were found for soils with high clay content, for which the ePTF should be used with care. The performance of the ePTF for estimating soil hydraulic conductivity was not as reliable as for water content, exhibiting large scatter. Predictions of saturated hydraulic conductivity were of the same magnitude as the measurements, whereas the unsaturated values were generally under- predicted. The conductivity data available for this study were limited and highly variable. The estimates for hydraulic conductivity should therefore be used with much care, and future research should address measurements and analysis to improve the predictions. The cPTF was also used to parameterise the SWIM soil module for use in Agricultural Production Systems Simulator (APSIM) simulations. Comparisons of drainage predicted by APSIM against results from lysimeter experiments suggest that the use of the derived ePTF is suited for the estimation of soil parameters for use in modelling. The ePTF is not envisaged as a substitute for measurements but is a useful tool to complement datasets with limited amounts of measured data. Additional keywords: APSIM, drainage, hydraulic conductivity, simulation modelling, soil water content, volcanic soils., Introduction Soil hydraulic characteristics are among the most important properties for characterising physical behaviour of a soil type. Quantitative descriptions of either the characteristic points (water content values at saturation, [...]

Nitrous oxide ([N.sub.2]O) emissions from agriculture are generally estimated using default IPCC emission factors (EFs) despite the large variation in measured EFs. We used a classification and regression tree (CART) analysis to segregate measured EFs from direct emissions from urine patches and fertiliser and effluent applications, based on temporal and site-specific factors. These segregated EFs were linked to simulations from the DairyNZ Whole Farm Model to obtain N20 emissions for a typical pasture-based dairy farm in New Zealand. The [N.sub.2]O emissions from urine patches, dung pads, and fertiliser and effluent application, as well as from indirect sources, were aggregated to obtain total [N.sub.2]O emissions for the farm-scale. The results, based on segregated EFs, were compared with those obtained using New Zealand-specific EFs. On-farm [N.sub.2]O emissions based on these segregated EFs were 5% lower than those based on New Zealand-specific EFs. Improved farm management by avoiding grazing, effluent, and N fertiliser application during periods of high risk for [N.sub.2]O emissions, or by the use of mitigation technologies such as nitrification inhibitors, could reduce annual farm scale [N.sub.2]O emissions. Additional keywords: CART analysis, fertiliser, nitrous oxide emission factors, [N.sub.2]O database NZ, urine. Received 13 March 2011, accepted 13 April 2012, published online 14 May 2012, Introduction Nitrous oxide ([N.sub.2]O) emissions from agricultural soils are a major source of greenhouse gas (GHG) emissions in many countries, including New Zealand. Waste from animal excreta contributes as much [...]

The objectives of this study were (1) to compare the bioavailability of arsenic (As) to plants in an As-spiked agricultural soil and a naturally contaminated mine railings, (2) to compare the theoretical ability of various chemical amendments to solubilise As in naturally contaminated mine tailings, and (3) to examine the ability of Brassica juncea (Indian mustard) plants to remove the solubilised As from the soil and tailings. The growth media used for this study included mine tailings from a gold mine in Fiji contaminated with As (683 As mg/kg) due to the presence of arsenopyrite in the mined rock, and a pasture soil from New Zealand (Manawatu sandy loam) amended with lime and/or AS. Brassica juncea was grown in these substrates in a glasshouse. In a separate batch experiment, we examined the theoretical ability of several chemical extractants to solubilise AS from the mine tailings. Of the tested extractants, only hydrochloric acid (HCl) and a mixture containing ammonium oxalate [(N[H.sub.4]).sub.2][C.sub.2][O.sub.4], oxalic acid, and ascorbic acid were effective in extracting AS from the tailings. In the plant growth experiment, solutions of these 2 chemicals were used as soil amendments at 2 different concentrations to increase As uptake by 6-week-old, actively growing B. juncea plants. Arsenic bioavallability as a function of the growth media influenced the germination rate of B. juncea, the As concentration in the plants, and the water-soluble As concentration in the media. There was approximately a 3-fold reduction in the germination of seeds, and a 64- and 380-fold increase in As concentration in plant and soil solution, respectively, in the spiked Manawatu soil compared with the naturally contaminated Fiji mine railings. The spiking of soil with As did not mimic naturally contaminated railings in this experiment. The total amount of As taken up by B. juncea plants increased approximately 9 fold with the addition of the amendments. However, the phytoremediation capacity of B. juncea for As extraction in Fiji mine tailings was too low for efficient remediation even in the presence of solubilising chemicals. Additional keywords: Brassica juncea, bioavallability, liming, mine railings., Introduction Heavy metal contamination of soil is one of the world's major environmental problems, posing significant risks to plants, animals, and humans. Phytoremediation, defined as the use of plants to [...]

Effects of nitrogen losses through nitrate leaching are one of the major environmental issues worldwide. To determine the potential effect of dicyandiamide (DCD), a nitrification inhibitor, on the transformation of urea nitrogen and subsequent nitrate leaching, incubation and column leaching experiments were performed. Tokomaru silt loam soil was treated with urea, DCD, or urea plus DCD. A control was also used. In the laboratory incubation experiment, the conversion of urea to ammonium (i.e. ammonification process or urea hydrolysis) occurred within a day, thereby increasing the soil pH from 5.8 to 6.9. DCD did not affect the ammonification process. However, DCD did slow down the subsequent oxidation of ammonium to nitrate (i.e. nitrification process). The half-life time of ammonium in this soil was increased from 9 days for the urea treatment to 31 days for the urea + DCD treatment. The production of nitrate was 5 times slower when DCD was added. In the leaching experiments, half the columns were leached after 1 day of incubation (Day 1), the other half 7 days later (Day 7). For Day 1, no significant differences in nitrate leaching could be seen between the treatments, as the nitrification had not yet taken place. For Day 7, DCD decreased nitrate leaching by 71% with a corresponding decrease in nitrate-induced cation leaching, including ammonium. Thus, DCD seems to be effective in decreasing both ammonium and nitrate leaching, but its high solubility and thus mobility could be a limitation to its use. The convection-dispersion equation, including source-sink terms for nitrogen transformations, ammonification, and nitrification rate constants, and a factor for nitrification inhibition by DCD, accounting for degradation and efficiency of DCD, could be used reasonably well to simulate nitrate leaching from the column leaching experiments. However, model parameter values for nitrification rate, and efficiency and decay rate for DCD, were different from those obtained from the incubation experiments, which was probably because of the difference in water content of soil between the incubation and leaching experiments. Additional keywords: CDE (convection disperion equation), DCD decay rate, incubation, leaching experiment, ammonium., Introduction The high input of nitrogen (N) fertilisers to intensive pasture production systems poses a risk to the environment. In New Zealand, up to 200kgN/ha is applied annually to grass/clover [...]

To determine the effect of wheel traffic and two different management practices on soil compaction and its consequences on physical and chemical soil properties, we measured penetration resistance, water infiltration, bulk density, macroporosity, chemical mobility, air permeability, and soil strength in a conventional orchard (integrated fruit-production program) with bare (sprayed with herbicides) rows and an organic apple orchard with grassed rows. Resistance measurements were taken both within the tree row and the wheel track, down to a depth of 0.35 to 0.40 m. The results indicate that compaction is greater in the wheel tracks under both management methods. Compaction in the wheel track was higher under organic than conventional management. Organic management resulted in a higher macroporosity in both the row and the wheel-track than conventional management. The 'close-to-saturation' infiltration rate was significantly greater within the row of the organic orchard (0.06 m/h) compared with the row of the conventional orchard (0.02 m/h), and compared with the wheel tracks (0.01 m/h). The precompression stress value in the top 100 mm, a measure of the soil strength, was low on all sites. The chemical mobilities were 57 and 50% in the organic orchard, and 86 and 93% in the conventional orchard, respectively, for wheel track and row. Apart from the compaction in the wheel track of the organic orchard, physical and chemical soil characteristics were in a better condition compared with the conventional orchard. Additional keywords: penetrometer, infiltration, chemical mobility, precompression stress, wheel track., Introduction Intensive trafficking in orchards by heavy machinery can cause soil compaction. This can change the soil structure and pore system (Peng et al. 2004), both pore size distribution and [...]

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jenvman.2005.07.005 Byline: Tessa Mills (a), Barbara Arnold (a), Siva Sivakumaran (a), Grant Northcott (b), Iris Vogeler (a), Brett Robinson (a), Cara Norling (a), Doris Leonil (c) Abstract: Pentachlorophenol (PCP) is a persistent organic pollutant (POP) previously used as a timber treatment chemical to prevent sap stain and wood rot. Commonly used in wood treatment industries for the last 50 years, there are now many sites worldwide that are contaminated with PCP. Although persistent, PCP is a mobile contaminant and therefore has a propensity to leach and contaminate surrounding environments. Both willow (Salix sp., 'Tangoio') and poplar (Populus sp. 'Kawa') growing in an open-ended plastic greenhouse were found to tolerate soil PCP concentrations of 250mgkg.sup.-1 or less and both species stimulated a significant increase in soil microbial activity when compared to unplanted controls. Both poplar and willow could not survive PCP concentrations above 250mgkg.sup.-1 in soil. Pentachlorophenol degradation occurred in both planted and unplanted pots, but a higher rate of degradation was observed in the planted pots. Soil contaminated by wood-treatment activities often contains co-contaminants such as B, Cr, Cu and As, that are also used as timber preservatives. An additional column leaching experiment, done along side the potted trial, found that PCP, B, Cr, Cu and As were all present in the column leachate. This indicates that although Cu, Cr and As are generally considered immobile in the soil, they were mobilised under our column conditions. If a contaminated site were to be hydraulically 'sealed' using plants, a reticulation irrigation system should be installed to capture any contaminant leachate resulting from heavy rains. This captured leachate can either be independently treated, or reapplied to the site. Our data demonstrate a reduction in soil hydraulic conductivity with repeated application of leachate containing PCP and metal compounds but the soil did not become anaerobic. This would need to be considered in site remediation design. Author Affiliation: (a) HortResearch, Sustainable Landuse Group, Private Bag 11030, Palmerston North, New Zealand (b) HortResearch, Ruakura Research Centre, Private Bag 3123, Hamilton, NZ (c) Universite de la Reunion, Maitrise sciences et techniques,Valorisation chimique et biologique du vegetal, Campus du Moufia, 15 avenue Rene Cassin, BP 7151-97 715 Saint-Denis messag cedex 9, France Article History: Received 16 December 2004; Revised 14 May 2005; Accepted 18 July 2005

As commented in our paper (Vogeler et al. 2016) and pointed out by Lynn (2017), there is a large demand for production and environmental analyses on medium and large spatial [...]

Soil compaction is studied by measuring water infiltration, microbial activity and organic matter content in a conventionally and organic-managed apple orchard. It is shown that organic methods brings higher macroporosity within the row and wheel-track compared to conventional management, and can be used to manage irrigation and fertilizer applications in a better way.

Soil hydraulic properties play a primary role in water infiltration and movement, and transport of nutrients and contaminants through the soil profile. However, the determination of soil hydraulic properties, especially the hydraulic conductivity at lower depths within the soil profile is very challenging. We investigated the use of inverse modelling based on APSIM (Agricultural Production Simulation Model) to determine likely ranges of the hydraulic conductivity at saturation (Ksat) and field capacity (KDUL) for a slowly permeable subsurface soil. Simulations were run for the poorly drained Otokia silt loam, in the Otago region of New Zealand. APSIM simulations were set up either according to the site specific soil profile description or based on the national soils database (S-map) description. Simulated temporal soil moisture data were compared to measurements from a field experiment. Within a sensitivity analysis Ksat values of the subsurface soil were varied from 2.4 to 192 mm/d, and values for KDUL from 0.05 to 1 mm/d. Finally simulations were run over 45 years using two climatic conditions, with annual rainfall amounts of 730 and 628 mm. The effect of varying the hydraulic conductivity of the subsurface soil (Cg) on the wetness status of the overlying B2g horizon was determined by calculating the average duration of soil moisture above field capacity. These were then used to estimate ranges of the hydraulic conductivity that contributes to a soil being imperfectly, poorly or very poorly drained. [ABSTRACT FROM AUTHOR]