Register      Login
Soil Research Soil Research Society
Soil, land care and environmental research
RESEARCH ARTICLE (Open Access)

Effect of irrigation on soil physical properties on temperate pastoral farms: a regional New Zealand study

John J. Drewry https://orcid.org/0000-0002-8781-2604 A * , Sam Carrick B , Veronica Penny https://orcid.org/0000-0002-6719-5864 B , John L. Dando A and Nina Koele C D
+ Author Affiliations
- Author Affiliations

A Soils and Landscapes, Manaaki Whenua – Landcare Research, Private Bag 11052, Palmerston North, New Zealand.

B Soils and Landscapes, Manaaki Whenua – Landcare Research, PO Box 69040, Lincoln, New Zealand.

C Land Use and Ecosystems, Manaaki Whenua – Landcare Research, PO Box 69040, Lincoln, New Zealand.

D Present address: Te Hunga Mārama o te Taiao (Evidence, Data and Insights), Ministry for the Environment, PO Box 10362, Wellington, New Zealand.

* Correspondence to: drewryj@landcareresearch.co.nz

Handling Editor: Gavan McGrath

Soil Research 60(8) 760-771 https://doi.org/10.1071/SR21254
Submitted: 11 October 2021  Accepted: 15 March 2022   Published: 4 May 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context: Many regions in the world have undergone rapid land use change and intensification of agricultural land, such as through irrigation expansion, upgrading irrigation systems, and changing grassland, stock, and nutrient management practices. With more intensive land use, changes to soil properties can occur, such as soil compaction and changes in soil water storage. The effects of modern sprinkler-irrigated pastoral farming on soil physical properties are not well quantified internationally, particularly for temperate climates.

Aims: This regional study evaluates the effect of irrigation on soil physical properties in topsoil and subsoil, under modern pastoral grazing and sprinkler irrigation, across Canterbury, New Zealand.

Methods: Paired sites were sampled, consisting of a spray-irrigated paddock (field) and an adjoined part of the same paddock that was dryland (unirrigated), with other management the same for each pair.

Key results: Under irrigation there was a shift towards a greater abundance of smaller pores. This was reflected in macroporosity and readily available water capacity being significantly lower under irrigation, while semi-available water capacity and unavailable water held below permanent wilting point both increased.

Conclusions: These differences reflect increased compaction under irrigated grazed pasture, particularly under dairy grazing, consistent with findings in similar studies. This study quantified changes in both the topsoil and subsoil but showed that most differences were confined to the topsoil (30 cm depth).

Implications: For irrigation management, our study indicates the lower readily available water capacity on irrigated pasture is significant, with farmers potentially having to irrigate more frequently. Adopting deficit irrigation could minimise impacts of compaction.

Keywords: available water capacity, compaction, crop lower limit, land use change, macroporosity, readily available water capacity, soil health, soil quality.

Introduction

Global population growth is increasing the demand for food and agricultural products. Land use change is occurring to support this demand on agricultural food production, with expansion and intensification of dairy, sugarcane, cropping, and other agriculture in many countries, for example, in Brazil (Cherubin et al. 2016; Koppe et al. 2021), China (Bai et al. 2018; Zuo et al. 2018), and Argentina (Viglizzo et al. 2011).

In New Zealand, agriculture has also undergone land use change and intensification, as reflected in a 53.6% decrease in sheep numbers nationally, from 57.9 million in 1990 to 26.8 million in 2019, with a corresponding rise in national dairy cow numbers from 3.4 million to 6.3 million (Stats NZ 2021). A significant proportion of the dairy cattle increase occurred in the Canterbury region, with an increase from 113 000 in 1990 to 1.2 million in 2019 (Stats NZ 2021). The area of irrigated agricultural land in New Zealand almost doubled between 2002 and 2019, from 384 000 to 735 000 ha (Ministry for the Environment, Stats NZ 2021; Stats NZ 2021). The majority of irrigated land is in the Canterbury region. There was a 203% increase in irrigated land area for Canterbury farms (that were dominantly dairy), from 89 000 to 269 000 ha, from 2002 to 2019 (Stats NZ 2021).

Suitable soils and water availability are key resources needed for agriculture but are under increasing pressure from the intensification of agricultural land and changing land use (Godde et al. 2018; Kopittke et al. 2019; Koppe et al. 2021). Intensification of agricultural land includes the irrigation of previously dryland areas to increase yields and, associated with this, often an increase in nutrient inputs, stock numbers, and changing grassland management practices or stock type (Cherubin et al. 2016; Drewry et al. 2021b; Koppe et al. 2021). Improved technologies and practices are being developed to use water more efficiently (Evett et al. 2020), and reduce the impacts of intensification on water quality (Chapman et al. 2021). With more intensive land use, changes to soil properties can occur, such as soil compaction and reduced soil pore space (Cherubin et al. 2016; Drewry et al. 2021c; Hu et al. 2021), greater available water capacity (Drewry et al. 2021a), and changes to soil biochemistry and biology (Lobry De Bruyn and Kingston 1997; Mayel et al. 2021). Knowledge of changes in soil physical properties is important as these changes affect crop and pasture yield (Drewry et al. 2008) and the ecosystem services that soil provides, such as production, regulation of water and gas flows, and filtering nutrients (Dominati et al. 2019; Hu et al. 2021).

Accurate measurements of soil water storage and other soil physical properties are important for optimising production and the use of soil resources by allowing an informed approach to irrigation water use, carbon and nutrient cycling, and the optimisation of plant yield (Minasny and McBratney 2018; Drewry et al. 2019; Gonçalves et al. 2020). Available water capacity (AWC) is important for accurately simulating crop yield in dry conditions (Gladish et al. 2021) and under irrigation (Brown et al. 2021). Underestimation of AWC was found to be more detrimental when modelling plant yield estimates than the same amount of its overestimation (Wu et al. 2019). Knowledge or representation of these is also important for modelling water and diffuse nutrient losses from agriculture (e.g. Kreiselmeier et al. 2019; Vogeler et al. 2019). Soil water storage attributes are also key information for irrigation management, both for water allocation and system design, as well as on-farm scheduling practice (Irrigation New Zealand 2013; El-Naggar et al. 2020).

Research on the effect of irrigation on soil physical properties has been focused on arid, semi-arid, or tropical environments and non-pastoral land use, often with furrow- or flood-irrigated systems (Singh et al. 2013; Drewry et al. 2021b). The effect of flood irrigation on soil physical properties was studied in New Zealand for a wide range of pastoral soils (Rickard and Cossens 1966, 1968; Cossens and Rickard 1969; Rickard and Cossens 1973). These irrigated soils generally showed an increase in bulk density, field capacity, and AWC, compared with soils without irrigation, but results reviewed in the wider literature vary (Drewry et al. 2021b). With the exception of a few studies (e.g. Houlbrooke et al. 2008; da Costa et al. 2014), the effects of modern sprinkler-irrigated pastoral farming on soil physical properties are not well quantified internationally, particularly for temperate climates (Drewry et al. 2021b).

There has been a trend in soil science studies to measure soil at shallow depths, rather than the deeper depths measured several decades ago (Yost and Hartemink 2020). Many of these previous irrigation effect studies have mainly researched topsoil depths, e.g. to 10 or 15 cm depth only, with deeper and subsoil depths being a knowledge gap. It is particularly important to better determine the effects of irrigation on drainage and water storage properties over a soil profile, including both topsoil and subsoil, to understand the potential effect on drainage and nutrient movement. Previous studies under pasture have also either compared dryland with irrigation between different paddocks and farms (Fu et al. 2021), which makes it difficult to separate the irrigation effect from other land management practices associated with intensification (Rickard and Cossens 1966; Drewry et al. 2021b), or have focused on the single paddock (Drewry et al. 2021a) or plot scale (Houlbrooke and Laurenson 2013).

The main objective of this study was to use paired sites within the same paddock to evaluate at the regional scale the effect of irrigation and dryland on soil physical properties in both the topsoil and subsoil, under modern pastoral grazing and sprinkler irrigation. A second objective was to determine if land use, or irrigation duration, influenced the irrigation effect on soil physical properties.


Materials and methods

Sites, experimental, and sampling design

For this regional study, 24 paired sites were sampled across the Canterbury region of New Zealand, from Tekapo to Waiau (Fig. 1), to be representative of a range of pastoral farms (23 farms in total), soil types, management practices, and climates in the region. The climate of the Canterbury region is temperate. Examples of locations and mean annual rainfalls across the region, for the period 1981–2010, are Lake Tekapo 591 mm (south-Canterbury), Ashburton 681 mm (mid), and Culverden (576 mm) in north-Canterbury (Macara 2016).


Fig. 1.  Locations for sites sampled in Canterbury, South Island of New Zealand. Map outline from Land Information New Zealand.
Click to zoom

Each site consisted of a paddock (grazed field) that was irrigated under modern spray irrigation, and another adjacent part of the same paddock that was dry, i.e. where the spray irrigator could not reach, such as the corner of a paddock left dry, as would typically occur beyond the reach of a centre-pivot-irrigator. The irrigated and non-irrigated sites otherwise had the same soil type, climate, land use, and paddock management. These were termed paired sites (i.e. a paired site containing both irrigated and dryland areas). Each paired site consisted of two sampled pits (one in the irrigated area and one in the dryland area); any measured difference between them was assumed to be the result of irrigation (Mudge et al. 2017, 2021).

At each sampling pit, soil samples were taken at six 10 cm depth increments (0–10, 10–20, 20–30 cm, etc.), resulting in six soil sampling increments per pit (i.e. 12 soil sampling increments per paddock). The 0–60 cm depth increments were chosen because 0–60 cm is used for irrigation scheduling in New Zealand, and is the depth modelled by the OVERSEER nutrient budget model (PCE 2018), which is widely used in New Zealand (PCE 2018; Monaghan et al. 2021). The 0–30 cm depth increments typically represented the A and AB topsoil horizons for soils sampled in this region (Manaaki Whenua-Landcare Research 2020).

Soils and land management

Possible sites were initially identified using aerial photography to identify irrigated farms across the region that had paddocks with possible irrigated and dry areas. Sites were selected to be on deep soils (>60 cm depth of stone-free soil) to enable sampling of soil cores for the complete suite of soil porosity measurements. The soils were checked prior to sampling using a test pit or auger to ensure the dryland and irrigated soils matched with similar morphological properties. When sampled, the soil profile was described (Milne et al. 1995) and classified to the subgroup level of the New Zealand soil classification (Hewitt 2010). The distribution of soil orders sampled (Table 1) was representative of the proportions of irrigated deep soils mapped by S-map (Lilburne et al. 2012; Manaaki Whenua-Landcare Research 2020) across the Canterbury region.


Table 1.  Soil order (Hewitt 2010), site numbers, and USDA and FAO soil classification equivalents.
Click to zoom

Site selection was also based on land management information obtained from the farmers, such as time in pasture and since cultivation, if there had been any previous irrigation on dryland, and whether dryland and irrigated land areas were managed in the same way. Land use was 13 dairy cattle paddocks (‘milking-platform’), and 11 ‘non-lactating-dairy’ or not-dairy (comprising five sheep and beef, four ‘dairy support’, and two beef sites). Dairy cows were grazed off the primary farm (or ‘milking platform’) during winter for 11 of the 13 dairy farms. This is common practice on New Zealand dairy farms, where cows are grazed on ‘run-off blocks’ (for winter grazing of cows or grazing young stock). In New Zealand, ‘run-off blocks’ are often owned or leased by the dairy farmer to have complete control over grazing. Alternatively, ‘dairy support’ has similar use but is often owned by another farmer to graze dairy cows on pasture or crops over winter only, with different land uses at other times of the year. See Dalley et al. (2014) for more information.

All sites had been under pasture for a minimum of 18 months to avoid the disturbance of cultivation. The pasture was typically perennial ryegrass (Lolium perenne) and white clover (Trifolium repens) mix, with pasture age since sowing ranging from 1.5 to 15 years (median 4.5 years). Irrigation duration at the sites were 2–9 years (nine sites), 10–19 years (13 sites), and 20+ years (two sites). The type of sprinkler irrigation was predominantly centre-pivot, with one site under linear-move irrigation. In Canterbury, the irrigation season typically occurs from September to April. On the farms in this study, the irrigation return period for a complete revolution of the centre-pivot ranged from 1 to 10 days (median 3 days). Additional factors used in site selection included a minimum area of 50 m × 50 m for the dry part of the paddock; no previous irrigation applied (even prior to the current irrigation system installation); uniform grazing and fertiliser management; and sampling points located at least 10–20 m from shelterbelts, gateways, and water troughs.

Sample collection and soil analyses

At each site, a pit was dug underneath the irrigated area and the dry area within the same paddock. Sites were sampled from late November 2017 to early February 2019, with most sites sampled during November–February. Pits and sites were sampled once only during the study. The 24 paired sites were the replicates (i.e. 24 replicates). Soils were sampled in six 10 cm increments down to 60 cm depth, i.e. 0–10, 10–20, … 50–60 cm. The inside wall of each core liner was smeared with a thin layer of Vaseline petroleum jelly to seal between the soil and liner. At each depth, a level surface was prepared. Undisturbed soil pedestals, slightly larger than the liner, were then hand carved down the depth increment, over which the soil core liners were then vertically inserted with care, and removed for later analysis.

Cores were sampled adjacent to each other to span the approximate mid-point of each depth increment, using large cores (10 cm diameter, 7.5 cm depth) for large pore size distribution (>30 μm diameter) and smaller soil cores (5 cm diameter, 3 cm depth) for smaller pore sizes (<30 μm diameter). Bulk density was measured on each core. Cores (wrapped in cling film) were stored at 4°C before laboratory analysis.

Soil physical analyses were measured at the Manaaki Whenua – Landcare Research soil physics laboratory. Full methods for the preparation of soil cores, bulk density, particle density, pore size distribution, and water retention are described elsewhere (Gradwell 1972; Gradwell and Birrell 1979). Particle density was measured for each core to calculate total porosity. Water retention of soil cores was measured under tensions of −10, −100, and −1500 kPa. The large cores (10 cm diameter) were equilibrated to −10 kPa on ceramic plates using a hanging column of water to measure the volumetric percentage of pores >30 μm. The smaller soil cores were equilibrated to −100 and −1500 kPa using pressure chambers (Gradwell and Birrell 1979).

Although terms vary in the literature (Drewry et al. 2021b), we report macroporosity as pores >30 μm drained at −10 kPa matric potential, volumetric water content at field capacity (−10 kPa), ‘readily’ available water capacity, RAWC (−10 to −100 kPa), stress point (−100 kPa), ‘semi-available’ water capacity, SAWC (−100 to −1500 kPa), AWC (−10 to −1500 kPa), and volumetric water content at permanent wilting point, PWP (−1500 kPa). The water content below PWP is considered unavailable to plants. Water release values are expressed as a percentage volume of pores per unit volume of soil (% v/v). Note that SAWC + RAWC = AWC. While RAWC and AWC are widely used in the literature (e.g. Román Dobarco et al. 2019), the water-holding pore space between stress point and wilting point does not appear to have a commonly used term, so we have used SAWC. RAWC is the water storage porosity that plants can access under minimal stress, whereas soil water stress increasingly restricts plant growth as the soil dries below stress point. We use the term SAWC to represent these pores.

Statistical analysis

Statistical analyses of soil properties (at six 10-cm-depth increments, and averaged over 0–30, 30–60 and 0–60 cm) were undertaken to compare soils under irrigation and dryland. Each set of irrigated and dryland soils was treated as a pair, and a paired samples t-test was used to determine the significance of the difference between irrigated and dryland.

A one-way analysis of variance was used to determine whether land use (dairy vs non-dairy sites) significantly affected response to irrigation. Regression analysis was used to determine the significance of the correlation between irrigation duration (number of years under irrigation) and response to irrigation. For each analysis, the model residuals were examined to ensure they conformed with the model assumptions. For one of the soil sites, the macroporosity, AWC, and RAWC values for the 40–50 cm depth increment for the irrigated pit were very unusual; this was ascribed to an unusually sandy lens, so the analyses involving these three variables were rerun omitting the depth increment from this site.


Results

Comparisons of irrigated and dryland sites

AWC, RAWC, SAWC, and PWP

Comparisons of the water retention characteristics at irrigated and dryland sites at each depth increment are presented in Table 2. SAWC and PWP values were significantly greater in the irrigated sites than the dryland sites at the 0–10 and 10–20 cm depths (Table 2). In contrast, over the same depth increments, RAWC was significantly smaller under irrigation and at 40–50 cm depth (Table 2), and illustrated in Fig. 2. AWC values integrated the opposite trends in RAWC and SAW, resulting in AWC only being significantly greater under irrigation at the 10–20 cm depth (Table 2). For the remaining depths, there were few significant differences between the treatments, with no obvious trend except for SAWC (20–30 cm) which was consistent with differences over the 0–20 cm depth. The site distributions for AWC, SAWC, and PWP are shown in the Supplementary material (Figs S1, S2).


Table 2.  Readily available water capacity (RAWC, % v/v), available water capacity (AWC, % v/v), semi-available water capacity (SAWC, % v/v), and water content at permanent wilting point (PWP, % v/v), for irrigated and dryland sites for six depth increments.
Click to zoom


Fig. 2.  Probability distributions for readily available water capacity (RAWC, % v/v) for irrigated and dryland sites for six depth increments.
Click to zoom

AWC, RAWC, SAWC, and PWP for the irrigated and dryland sites, averaged over 0–30 cm (topsoil), 30–60 cm (subsoil), and 0–60 cm (soil profile), are presented in Tables 3 and 4. Both SAWC and PWP values were significantly greater in the irrigated sites than in the dryland sites when averaged over 0–30 cm; and also 0–60 cm for SAWC (Tables 3 and 4). In contrast, RAWC was significantly greater in the dryland sites when averaged over 0–30, 30–60, and 0–60 cm.


Table 3.  Mean readily available water capacity (RAWC, % v/v), available water capacity (AWC, % v/v), semi-available water capacity (SAWC, % v/v), and their water storage equivalent (mm), for irrigated and dryland sites, over 0–30 cm (topsoil), 30–60 cm (subsoil) and 0–60 cm (profile).
Click to zoom


Table 4.  Mean water content at permanent wilting point (PWP, % v/v), bulk density (Mg/m3), total porosity (% v/v), and macroporosity (% v/v) for irrigated and dryland sites, over 0–30 cm (topsoil), 30–60 cm (subsoil), and 0–60 cm (profile).
Click to zoom

Management decision support tools often utilise soil water storage expressed as ‘mm storage’ for a specific profile depth, with water storage equivalent summarised in Table 3. For the water storage measurements with observed significant differences, summed over the 0–30 cm depth, and over the 30–60 cm depth, irrigated sites had an average of 3.3  and 2.5 mm less RAWC than dryland sites, respectively. Summed over the 0–60 cm depth, irrigated sites had 6.2 mm less RAWC than dryland sites (Table 3). Summed over the 0–30 cm depth, irrigated sites averaged 6.8 mm more SAWC than dryland sites, and over the 0–60 cm depth, irrigated sites had 8.2 mm more SAWC than dryland sites.

Soil bulk density, total porosity, and macroporosity

Soil bulk density, total porosity, and macroporosity for the irrigated and dryland sites are presented in Table 5. Macroporosity was significantly greater in the dryland sites at the 10–20 cm depth, but there were no significant differences for bulk density and total porosity (Table 5). When averaged over 0–30 cm, macroporosity was significantly greater in the dryland sites, but there were no significant differences for bulk density and total porosity when averaged over the depths (Table 4).


Table 5.  Bulk density (Mg/m3), total porosity (% v/v), and macroporosity (% v/v) for irrigated and dryland sites for six depth increments.
Click to zoom

For individual sites in this study, 12 of the 24 irrigated sites had macroporosity (0–10 cm) <10%, with four sites <6%, indicating compaction (Drewry et al. 2008; Hu et al. 2021). Of the 24 sites, 10 and seven sites also had macroporosity <10% for the 10–20 and 20–30 cm depths, respectively. The site distributions for macroporosity are shown in Fig. 3. The distributions for bulk density are shown in the Supplementary material (Fig. S3).


Fig. 3.  Probability distributions for macroporosity (% v/v) for irrigated and dryland sites for six depth increments.
Click to zoom

Effect of land use and irrigation duration

The analyses of variance showed no significant differences in each of the soil physical property responses to irrigation between dairy and non-dairy pastoral land use. The regression analyses also showed no significant relationships between the soil physical property responses to irrigation and the duration (years) of the soil under irrigation.


Discussion

This study showed that while the total volume of pores (total porosity) did not change between irrigated and dryland use, the pore size distribution was significantly affected, particularly in the topsoil (0–30 cm depth). Overall, our results showed a redistribution towards smaller pore sizes under irrigation, with the number of macropores (>30 μm) and readily available storage pores (30–3 μm) decreasing, while there was an increase in the abundance of smaller pores below stress point (pores <3 μm).

Effect of irrigation on soil water storage

In general, while AWC of the topsoil appeared to be slightly larger under irrigation, the difference was only significant at 10–20 cm depth. The plot study of Houlbrooke and Laurenson (2013) showed no significant difference when comparing AWC under the same cattle or sheep grazed land use, but for irrigated cattle grazing was significantly lower than both irrigated and dryland sheep-grazed pasture. The regional study of Fu et al. (2021) also found dryland sheep and beef to have significantly greater AWC than irrigated dairy at the 7.5–15 cm depth, but when individual depths were averaged over 0–30 cm there was no significant difference. In contrast, in the single paddock land use comparison of Drewry et al. (2021a), the AWC response varied between depth increments but was greater at the dairy site for 0–30 cm than at the dryland sheep site. Swanepoel et al. (2013) also reported water holding capacity was increased in a sandy soil under dairy-grazed irrigated pasture compared with natural vegetation, which was considered to be due to increased soil carbon content. Overall, this indicates that changes in AWC are not likely to show a consistent trend under irrigation when comparing between land uses, reflecting multiple differences in management such as stocking type, rate, and grazing regime (Drewry et al. 2021b). Although there are fewer comparisons where land use and management are the same, this study and that of Houlbrooke and Laurenson (2013) indicate AWC is not likely to significantly change under irrigation application in temperate pastoral grazing.

The results showed a significant change in the distribution of pore sizes within the AWC. PWP can represent ‘microporosity’, being the small soil pores in which water is most tightly held, and unavailable to plants. SAWC represents the portion of plant-available soil water that is held below the stress point, where plants are required to expend increasing energy as the water content lowers towards PWP (Drewry et al. 2021b), or lead to failure of water conducting tissues (Rowland et al. 2015). Previous research has shown that irrigated pastoral soils can have greater microporosity compared with non-irrigated areas (da Costa et al. 2014). Similarly, Houlbrooke and Laurenson (2013) showed that soil water content at −100 and −1500 kPa matric potentials was higher under irrigated land than dryland for cattle-grazed pasture, while Fu et al. (2021) also found higher PWP and SAWC under dryland sheep and beef compared to irrigated dairy paddocks. This effect could be due to several factors, including the in-filling of pores with time from soil compaction (Houlbrooke and Laurenson 2013; Drewry et al. 2021a) as indicated from reduced pore and water storage indicators, and wetting and drying cycles (da Costa et al. 2014; Pires et al. 2017). Wetting and drying cycles also affect soil aggregate stability, cracking, and strength, and are closely associated with pore characteristics (Ma et al. 2015).

However, in contrast to the other water storage attributes, RAWC was significantly greater in the dryland sites than in the irrigated sites. This result is consistent with previous studies under temperate pastoral land use (Drewry et al. 2021a), which also showed that RAWC was significantly lower under irrigated cattle-grazed pasture to 30 cm depth. These studies attributed the reduction in RAWC to compaction arising from grazing of cattle at the high moisture contents that occur under regular irrigation return intervals. Houlbrooke and Laurenson (2013) noted that the water content of soil pores at −100 kPa was most affected by treading-induced compaction, which affects RAWC, while Drewry et al. (2021a) reported compaction of pores was associated with changes in volumes of pores across a wide range of sizes, consistent with that observed for water storage indicators in this study, e.g. RAWC, SAWC.

Soil compaction under irrigation

Regular soil quality monitoring in New Zealand shows soil macroporosity and bulk density at 0–10 cm depth are affected under dairy grazing land use, with many monitored sites having macroporosity values well below recommended targets (Drewry et al. 2021c; Hu et al. 2021; Ministry for the Environment, Stats NZ 2021). Results from this study showed at 10–20 cm depth, and averaged over the 0–30 cm depth, that macroporosity was significantly lower under irrigated grazed pasture. A similar trend was observed in the Otago (Houlbrooke and Laurenson 2013) and Canterbury regions (Drewry et al. 2021a; Fu et al. 2021), showing that soil physical quality is degrading under different land use beyond the commonly measured 0–10 cm depth that is typically used in soil quality monitoring. Compared to a national scale paired site study of carbon (Mudge et al. 2021), our paired site regional study was not designed to specifically examine differences from soil order.

Critical and optimum values of macroporosity for crops and pasture can vary with species, soils, and circumstances (Drewry et al. 2008; Pöhlitz et al. 2020; Hu et al. 2021). A commonly accepted critical value of 10% (Drewry et al. 2008) is used in New Zealand for environmental reporting (Ministry for the Environment, Stats NZ 2021). The results in our study showed half of the irrigated sites (which were dairy or dairy support land use) had low macroporosities (<10%), indicating compaction (Drewry et al. 2008; Hu et al. 2021). The results also indicated soil compaction is occurring at deeper depths. Low soil macroporosity values can indicate there is likely to be a potential limitation to pasture production, but there are few studies of critical values of soil physical properties under pastoral farming, as many studies are based on crop responses (Drewry et al. 2008; Hu et al. 2021). Pasture yield in New Zealand has been shown to decrease as macroporosity decreases (0–10 cm depth) (Drewry et al. 2004). Critical thresholds of 5% air capacity have been used to determine subsoil compaction (Horn and Fleige 2009; Mordhorst et al. 2021), but subsoil thresholds are not well defined in New Zealand. Although farm system modelling and grazing studies have been undertaken to assess the farm-system feasibility of restricting grazing during high compaction risk periods (Beukes et al. 2013; Laurenson et al. 2016; Laurenson et al. 2017; Christensen et al. 2019), the benefits vary with grazing management and farm system, so further whole-farm-system research under a wider range of soils, climates, and management practices is needed.

Implications for irrigation management

In New Zealand, soil water attributes are widely used to inform both on-farm management decisions, as well as water allocation and environmental compliance. The observation that RAWC was reduced in irrigated sites is significant for land management as it is within this range of soil water content that irrigation scheduling aims to operate, i.e. where pasture can access soil water under the least stress (Vogeler et al. 2019). Houlbrooke and Laurenson (2013) highlighted that this could mean shorter irrigation return periods will be needed to prevent plant water stress, but the plot-scale nature of that study may have limited the direct applicability to on-farm systems. Our study showed that this early finding appears to be the case across a wide range of farms in the Canterbury region. Summed over the 0–60 cm depth, irrigated soils had on average 6.2 mm less RAWC capacity than under dryland management (or 3.3 mm less RAWC over the 0–30 cm depth). This is significant for irrigation scheduling, meaning on average the need to irrigate 1 day earlier that if RAWC was similar to that under dryland, given the average Canterbury irrigation application of 4–5 mm/day (KC et al. 2018), and internationally ∼5–7 mm/day applied (Denef et al. 2008; da Costa et al. 2014).

The lower RAWC on irrigated sites also potentially has a substantial effect at the farm and regional water planning level. On average, our data indicate that this potential RAWC storage capacity scales to 62 cubic metres per irrigated hectare, or 23 million cubic metres across the 377 000 ha of spray-irrigated dairy and sheep/beef land use in the Canterbury region in 2019 (Ministry for the Environment, Stats NZ 2021). Irrigation is the biggest user of freshwater resources within New Zealand (Ministry for the Environment, Stats NZ 2021). If the reduction in RAWC on irrigated pastoral farms could be addressed then there is potential to reduce the demand of irrigation on freshwater resources and increase freshwater availability for other ecosystem services. A limitation of the study is that it is confined to the Canterbury region, so evaluation in other areas would be worthwhile.

The soil moisture level is a critical factor in the compaction response of soil to grazing (or machinery), with the risk of soil structural damage increasing as water content increases with irrigation to field capacity or near a critical moisture content (Laurenson and Houlbrooke 2016). Given the average spray irrigation return interval, it is likely that grazing may often occur when the soil water content is near field capacity, at least for near-surface soil depths. The resulting compaction effects on the soil pore network that this study showed, further support the need to adopt deficit irrigation highlighted in several studies (Houlbrooke and Laurenson 2013; KC et al. 2018; Drewry et al. 2021a). The benefit of using deficit irrigation would be to avoid grazing when the soil moisture is above a critical limit for compaction risk (Betteridge et al. 1999; Drewry et al. 2008; Laurenson et al. 2016). This has been estimated in several New Zealand soils to be c. 10 mm deficit below field capacity, over the 0–300 mm depth (Laurenson and Houlbrooke 2016; Drewry et al. 2021a). In this study, irrigated soils had an average RAWC over this depth of 23 mm, which only allows for 13 mm application depth if adopting deficit irrigation. This is marginal for practical on-farm adoption, given the typically scheduled requirement in the region of 4–5 mm/day being applied on the average 3-day return interval will mean there is the risk of soils drying to near stress-point within the irrigation cycle. However, based on the dryland sites, there is potential RAWC that could be recovered if the deficit irrigation could minimise the impact of compaction, which is sufficient to provide a buffer in RAWC above the risk of drying to stress point. However, further research is required to quantify the practicality and benefits of this proposed strategy.


Conclusions

Land use change and intensification of agricultural land occurs through irrigation expansion and changing farm management practices, such as increased stocking rates and nutrient use. With more intensive land use, changes to soil physical (and biological and chemical) properties can occur, but the effects of modern irrigation and pastoral farming systems on soil physical properties have not been well quantified. A number of studies have also compared changes between land use, but this can make it difficult to separate land management effects such as irrigation, cultivation, stock type, and the grazing regime.

In this study, the approach meant consistency in land management, with just irrigation varying between paired sites. Although sampling occurred over the two years, the experimental design of paired sites accounted for any variation. The pore-size distribution significantly differed between dryland and irrigated management, particularly in the water storage pores. Under irrigation there was a shift towards a greater abundance of smaller pores. This is reflected in the macroporosity and RAWC being significantly lower under irrigation, while the SAWC and unavailable water held below the PWP both increased. Total porosity and bulk density can be less sensitive than pore size indicators. We conclude that these differences reflect increased compaction under irrigated grazed pasture, particularly under dairy grazed pasture, consistent with findings in similar studies. This study quantified changes in both the topsoil and subsoil but showed that most differences were confined to the topsoil.

In terms of irrigation management, our study indicates that the lower RAWC for the irrigated pasture is significant, both in terms of having to irrigate more frequently, and also potentially increasing allocation requirements when scaled across the region. There is potential to reduce these irrigation requirements if the compaction-induced reduction in RAWC on irrigated pastoral farms could be addressed. Our study also suggests that adopting deficit irrigation could minimise the impact of compaction, but further research is required to quantify the practicality and benefits of this strategy.


Supplementary material

Supplementary material is available online.


Data availability

The data that support this study cannot be publicly shared due to ethical or privacy reasons and may be shared upon reasonable request to the corresponding author if appropriate.


Conflicts of interest

No potential conflicts of interest was reported by the authors.


Declaration of funding

Funding was provided by the Ministry for Primary Industries Sustainable Farming Fund (project 405305), and by the Next Generation S-Map programme, funded by the New Zealand Ministry of Business, Innovation and Employment (contract CX09X162).



Acknowledgements

The project research was led by a collaboration between Federated Farmers of New Zealand Inc, Manaaki Whenua – Landcare Research, the AgriBusiness Group, and IrrigationNZ. We thank the farmers for access and participation, Julie Gillespie, and Verina Telling for assistance with sampling; Izak Eksteen, Pip Rhodes, and Danny Thornburrow of the Manaaki Whenua – Landcare Research soil physics laboratories for soil physical analyses; Dave Saville of Saville Statistical Consulting Ltd for statistical analyses; Balin Robertson for feedback on a draft; Lauren O’Brien for assistance with graphs; and Anne Austin for editing.


References

Bai Z, Lee MRF, Ma L, Ledgard S, Oenema O, Velthof GL, Ma W, Guo M, Zhao Z, Wei S, Li S, Liu X, Havlík P, Luo J, Hu C, Zhang F (2018) Global environmental costs of China’s thirst for milk. Global Change Biology 24, 2198–2211.
Global environmental costs of China’s thirst for milk.Crossref | GoogleScholarGoogle Scholar | 29417720PubMed |

Betteridge K, Mackay AD, Shepherd TG, Barker DJ, Budding PJ, Devantier BP, Costall DA (1999) Effect of cattle and sheep treading on surface configuration of a sedimentary hill soil. Australian Journal of Soil Research 37, 743–760.
Effect of cattle and sheep treading on surface configuration of a sedimentary hill soil.Crossref | GoogleScholarGoogle Scholar |

Beukes PC, Romera AJ, Clark DA, Dalley DE, Hedley MJ, Horne DJ, Monaghan RM, Laurenson S (2013) Evaluating the benefits of standing cows off pasture to avoid soil pugging damage in two dairy farming regions of New Zealand. New Zealand Journal of Agricultural Research 56, 224–238.
Evaluating the benefits of standing cows off pasture to avoid soil pugging damage in two dairy farming regions of New Zealand.Crossref | GoogleScholarGoogle Scholar |

Brown HE, Jamieson PD, Hedley C, Maley S, George MJ, Michel AJ, Gillespie RN (2021) Using infrared thermometry to improve irrigation scheduling on variable soils. Agricultural and Forest Meteorology 307, 108033
Using infrared thermometry to improve irrigation scheduling on variable soils.Crossref | GoogleScholarGoogle Scholar |

Chapman DF, Dalley DE, Edwards GR, Cameron KC, Malcolm BJ, Clement A, Romera AJ, Pinxterhuis IB, Beukes PC, Di HJ, Bryant RH, Curtis J (2021) Production, profit and nitrogen flows in irrigated dairy systems representing different industry development pathways: the Pastoral 21 experience in Canterbury. New Zealand Journal of Agricultural Research 64, 3–35.
Production, profit and nitrogen flows in irrigated dairy systems representing different industry development pathways: the Pastoral 21 experience in Canterbury.Crossref | GoogleScholarGoogle Scholar |

Cherubin MR, Karlen DL, Franco ALC, Tormena CA, Cerri CEP, Davies CA, Cerri CC (2016) Soil physical quality response to sugarcane expansion in Brazil. Geoderma 267, 156–168.
Soil physical quality response to sugarcane expansion in Brazil.Crossref | GoogleScholarGoogle Scholar |

Christensen CL, Hedley MJ, Hanly JA, Horne DJ (2019) Duration-controlled grazing of dairy cows. 1: Impacts on pasture growth, cow intakes and nutrient transfer. New Zealand Journal of Agricultural Research 62, 23–47.
Duration-controlled grazing of dairy cows. 1: Impacts on pasture growth, cow intakes and nutrient transfer.Crossref | GoogleScholarGoogle Scholar |

Cossens GG, Rickard DS (1969) Irrigation investigations in Otago, New Zealand. V. Physical properties of soils of the Maniototo Plains. New Zealand Journal of Agricultural Research 12, 193–213.
Irrigation investigations in Otago, New Zealand. V. Physical properties of soils of the Maniototo Plains.Crossref | GoogleScholarGoogle Scholar |

da Costa PA, Mota JCA, Romero RE, Freire AG, Ferreira TO (2014) Changes in soil pore network in response to twenty-three years of irrigation in a tropical semiarid pasture from northeast Brazil. Soil and Tillage Research 137, 23–32.
Changes in soil pore network in response to twenty-three years of irrigation in a tropical semiarid pasture from northeast Brazil.Crossref | GoogleScholarGoogle Scholar |

Dalley DE, Wilson DR, Edwards G, Judson G (2014) Getting the most from your dairy support land – tips for allocating winter forages. In ‘Proceedings of the South Island Dairy Event’. pp. 1–9. Available at https://side.org.nz/wp-content/uploads/2014/05/Getting-the-best-from-your-support-land.pdf

Denef K, Stewart CE, Brenner J, Paustian K (2008) Does long-term center-pivot irrigation increase soil carbon stocks in semi-arid agro-ecosystems? Geoderma 145, 121–129.
Does long-term center-pivot irrigation increase soil carbon stocks in semi-arid agro-ecosystems?Crossref | GoogleScholarGoogle Scholar |

Dominati EJ, Maseyk FJF, Mackay AD, Rendel JM (2019) Farming in a changing environment: increasing biodiversity on farm for the supply of multiple ecosystem services. Science of the Total Environment 662, 703–713.
Farming in a changing environment: increasing biodiversity on farm for the supply of multiple ecosystem services.Crossref | GoogleScholarGoogle Scholar |

Drewry JJ, Littlejohn RP, Paton RJ, Singleton PL, Monaghan RM, Smith LC (2004) Dairy pasture responses to soil physical properties. Australian Journal of Soil Research 42, 99–105.
Dairy pasture responses to soil physical properties.Crossref | GoogleScholarGoogle Scholar |

Drewry JJ, Cameron KC, Buchan GD (2008) Pasture yield and soil physical property responses to soil compaction from treading and grazing—a review. Australian Journal of Soil Research 46, 237–256.
Pasture yield and soil physical property responses to soil compaction from treading and grazing—a review.Crossref | GoogleScholarGoogle Scholar |

Drewry JJ, Hedley CB, Ekanayake J (2019) Maximising the value of irrigation through improved use of soil resources and sensor technology. Journal of New Zealand Grasslands 81, 223–230.
Maximising the value of irrigation through improved use of soil resources and sensor technology.Crossref | GoogleScholarGoogle Scholar |

Drewry JJ, Carrick S, Mesman NL, Almond P, Müller K, Shanhun FL, Chau H (2021a) The effect of irrigated land-use intensification on the topsoil physical properties of a pastoral silt loam. New Zealand Journal of Agricultural Research
The effect of irrigated land-use intensification on the topsoil physical properties of a pastoral silt loam.Crossref | GoogleScholarGoogle Scholar |

Drewry JJ, Carrick S, Penny V, Houlbrooke DJ, Laurenson S, Mesman NL (2021b) Effects of irrigation on soil physical properties in predominantly pastoral farming systems: a review. New Zealand Journal of Agricultural Research 64, 483–507.
Effects of irrigation on soil physical properties in predominantly pastoral farming systems: a review.Crossref | GoogleScholarGoogle Scholar |

Drewry JJ, Cavanagh J-AE, McNeill SJ, Stevenson BA, Gordon DA, Taylor MD (2021c) Long-term monitoring of soil quality and trace elements to evaluate land use effects and temporal change in the Wellington region, New Zealand. Geoderma Regional 25, e00383
Long-term monitoring of soil quality and trace elements to evaluate land use effects and temporal change in the Wellington region, New Zealand.Crossref | GoogleScholarGoogle Scholar |

El-Naggar AG, Hedley CB, Horne D, Roudier P, Clothier BE (2020) Soil sensing technology improves application of irrigation water. Agricultural Water Management 228, 105901
Soil sensing technology improves application of irrigation water.Crossref | GoogleScholarGoogle Scholar |

Evett SR, Colaizzi PD, Lamm FR, O’Shaughnessy SA, Heeren DM, Trout TJ, Kranz WL, Lin X (2020) Past, present, and future of irrigation on the U.S. Great Plains. Transactions of the ASABE 63, 703–729.
Past, present, and future of irrigation on the U.S. Great Plains.Crossref | GoogleScholarGoogle Scholar |

Fu Z, Hu W, Beare M, Thomas S, Carrick S, Dando J, Langer S, Müller K, Baird D, Lilburne L (2021) Land use effects on soil hydraulic properties and the contribution of soil organic carbon. Journal of Hydrology 602, 126741
Land use effects on soil hydraulic properties and the contribution of soil organic carbon.Crossref | GoogleScholarGoogle Scholar |

Gladish DW, He D, Wang E (2021) Pattern analysis of Australia soil profiles for plant available water capacity. Geoderma 391, 114977
Pattern analysis of Australia soil profiles for plant available water capacity.Crossref | GoogleScholarGoogle Scholar |

Godde CM, Garnett T, Thornton PK, Ash AJ, Herrero M (2018) Grazing systems expansion and intensification: drivers, dynamics, and trade-offs. Global Food Security 16, 93–105.
Grazing systems expansion and intensification: drivers, dynamics, and trade-offs.Crossref | GoogleScholarGoogle Scholar |

Gonçalves IZ, Mekonnen MM, Neale CMU, Campos I, Neale MR (2020) Temporal and spatial variations of irrigation water use for commercial corn fields in Central Nebraska. Agricultural Water Management 228, 105924
Temporal and spatial variations of irrigation water use for commercial corn fields in Central Nebraska.Crossref | GoogleScholarGoogle Scholar |

Gradwell MW (1972) Methods for physical analysis of soils. New Zealand Soil Bureau Department of Scientific and Industrial Research, New Zealand Soil Bureau Scientific Report 10C.

Gradwell MW, Birrell KS (1979) Methods for physical analysis of soils. New Zealand Soil Bureau Department of Scientific and Industrial Research, New Zealand Soil Bureau Scientific Report 10C, Lower Hutt.

Hewitt A (2010) ‘New Zealand soil classification.’ (Landcare Research: Lincoln, New Zealand)

Horn R, Fleige H (2009) Risk assessment of subsoil compaction for arable soils in Northwest Germany at farm scale. Soil and Tillage Research 102, 201–208.
Risk assessment of subsoil compaction for arable soils in Northwest Germany at farm scale.Crossref | GoogleScholarGoogle Scholar |

Houlbrooke DJ, Laurenson S (2013) Effect of sheep and cattle treading damage on soil microporosity and soil water holding capacity. Agricultural Water Management 121, 81–84.
Effect of sheep and cattle treading damage on soil microporosity and soil water holding capacity.Crossref | GoogleScholarGoogle Scholar |

Houlbrooke DJ, Littlejohn RP, Morton JD, Paton RJ (2008) Effect of irrigation and grazing animals on soil quality measurements in the North Otago Rolling Downlands of New Zealand. Soil Use and Management 24, 416–423.
Effect of irrigation and grazing animals on soil quality measurements in the North Otago Rolling Downlands of New Zealand.Crossref | GoogleScholarGoogle Scholar |

Hu W, Drewry J, Beare M, Eger A, Müller K (2021) Compaction induced soil structural degradation affects productivity and environmental outcomes: a review and New Zealand case study. Geoderma 395, 115035
Compaction induced soil structural degradation affects productivity and environmental outcomes: a review and New Zealand case study.Crossref | GoogleScholarGoogle Scholar |

Irrigation New Zealand (2013) The New Zealand piped irrigation systems design code of practice. (Irrigation New Zealand: Christchurch). Available at https://www.irrigationnz.co.nz/KnowledgeResources/COP/Attachment?Action=Download&Attachment_id=48

IUSS Working Group WRB (2015) World Reference Base for Soil Resources 2014, update 2015. International soil classification system for naming soils and creating legends for soil maps. World Soil Resources Reports No. 106. FAO, Rome.

KC B, Mohssen M, Chau H, Curtis A, Cuenca R, Bright J, Srinivasan M, Safa M (2018) Irrigation strategies for rotational grazing pasture in Canterbury, New Zealand, and impacts on irrigation efficiency. Irrigation and Drainage 67, 779–789.
Irrigation strategies for rotational grazing pasture in Canterbury, New Zealand, and impacts on irrigation efficiency.Crossref | GoogleScholarGoogle Scholar |

Kopittke PM, Menzies NW, Wang P, McKenna BA, Lombi E (2019) Soil and the intensification of agriculture for global food security. Environment International 132, 105078
Soil and the intensification of agriculture for global food security.Crossref | GoogleScholarGoogle Scholar | 31400601PubMed |

Koppe E, Rupollo CZ, de Queiroz R, Uteau Puschmann D, Peth S, Reinert D (2021) Physical recovery of an oxisol subjected to four intensities of dairy cattle grazing. Soil and Tillage Research 206, 104813
Physical recovery of an oxisol subjected to four intensities of dairy cattle grazing.Crossref | GoogleScholarGoogle Scholar |

Kreiselmeier J, Chandrasekhar P, Weninger T, Schwen A, Julich S, Feger K-H, Schwärzel K (2019) Quantification of soil pore dynamics during a winter wheat cropping cycle under different tillage regimes. Soil and Tillage Research 192, 222–232.
Quantification of soil pore dynamics during a winter wheat cropping cycle under different tillage regimes.Crossref | GoogleScholarGoogle Scholar |

Laurenson S, Houlbrooke DJ (2016) Identifying critical soil water thresholds to decrease cattle treading damage risk. New Zealand Journal of Agricultural Research 59, 444–451.
Identifying critical soil water thresholds to decrease cattle treading damage risk.Crossref | GoogleScholarGoogle Scholar |

Laurenson S, Houlbrooke DJ, Beukes PC (2016) Assessing the production and economic benefits from preventing cows grazing on wet soils in New Zealand. Journal of the Science of Food and Agriculture 96, 4584–4593.
Assessing the production and economic benefits from preventing cows grazing on wet soils in New Zealand.Crossref | GoogleScholarGoogle Scholar | 26909546PubMed |

Laurenson S, van der Weerden TJ, Beukes PC, Vogeler I (2017) Evaluating the economic and production benefit of removing dairy cows from pastures in response to wet soil conditions. New Zealand Journal of Agricultural Research 60, 223–244.
Evaluating the economic and production benefit of removing dairy cows from pastures in response to wet soil conditions.Crossref | GoogleScholarGoogle Scholar |

Lilburne LR, Hewitt AE, Webb TW (2012) Soil and informatics science combine to develop S-map: a new generation soil information system for New Zealand. Geoderma 170, 232–238.
Soil and informatics science combine to develop S-map: a new generation soil information system for New Zealand.Crossref | GoogleScholarGoogle Scholar |

Lobry De Bruyn LA, Kingston TJ (1997) Effects of summer irrigation and trampling in dairy pastures on soil physical properties and earthworm number and species composition. Australian Journal of Agricultural Research 48, 1059––1079.
Effects of summer irrigation and trampling in dairy pastures on soil physical properties and earthworm number and species composition.Crossref | GoogleScholarGoogle Scholar |

Ma R, Cai C, Li Z, Wang J, Xiao T, Peng G, Yang W (2015) Evaluation of soil aggregate microstructure and stability under wetting and drying cycles in two Ultisols using synchrotron-based X-ray micro-computed tomography. Soil and Tillage Research 149, 1–11.
Evaluation of soil aggregate microstructure and stability under wetting and drying cycles in two Ultisols using synchrotron-based X-ray micro-computed tomography.Crossref | GoogleScholarGoogle Scholar |

Macara GR (2016) ‘The climate and weather of Canterbury.’ NIWA Science and Technology Series 68. National Institute of Water and Atmospheric Research, Auckland.

Manaaki Whenua-Landcare Research (2020) S-map online. The digital soil map for New Zealand. Available at https://smap.landcareresearch.co.nz/. [Verified 2020]

Mayel S, Jarrah M, Kuka K (2021) How does grassland management affect physical and biochemical properties of temperate grassland soils? A review study. Grass and Forage Science 76, 215–244.
How does grassland management affect physical and biochemical properties of temperate grassland soils? A review study.Crossref | GoogleScholarGoogle Scholar |

Milne JDG, Clayden B, Singleton PL, Wilson AD (1995) ‘Soil description handbook.’ Revised edn. (Manaaki Whenua Press: Lincoln, New Zealand)

Minasny B, McBratney AB (2018) Limited effect of organic matter on soil available water capacity. European Journal of Soil Science 69, 39–47.
Limited effect of organic matter on soil available water capacity.Crossref | GoogleScholarGoogle Scholar |

Ministry for the Environment, Stats NZ (2021) Our Land 2021. New Zealand’s Environmental Reporting Series. Ministry for the Environment and Stats NZ, Publication Number: ME 1555, Wellington. Available at https://environment.govt.nz/publications/our-land-2021/

Monaghan R, Manderson A, Basher L, Spiekermann R, Dymond J, Smith C, Muirhead R, Burger D, McDowell R (2021) Quantifying contaminant losses to water from pastoral landuses in New Zealand II. The effects of some farm mitigation actions over the past two decades. New Zealand Journal of Agricultural Research 64, 365–389.
Quantifying contaminant losses to water from pastoral landuses in New Zealand II. The effects of some farm mitigation actions over the past two decades.Crossref | GoogleScholarGoogle Scholar |

Mordhorst A, Fleige H, Burbaum B, Filipinski M, Horn R (2021) Natural and anthropogenic compaction in North Germany (Schleswig-Holstein): verification of harmful subsoil compactions. Soil Use and Management 37, 556–569.
Natural and anthropogenic compaction in North Germany (Schleswig-Holstein): verification of harmful subsoil compactions.Crossref | GoogleScholarGoogle Scholar |

Mudge PL, Kelliher FM, Knight TL, O’Connell D, Fraser S, Schipper LA (2017) Irrigating grazed pasture decreases soil carbon and nitrogen stocks. Global Change Biology 23, 945–954.
Irrigating grazed pasture decreases soil carbon and nitrogen stocks.Crossref | GoogleScholarGoogle Scholar | 27483409PubMed |

Mudge PL, Millar J, Pronger J, Roulston A, Penny V, Fraser S, Eger A, Caspari T, Robertson B, Mason NWH, Schipper LA (2021) Impacts of irrigation on soil C and N stocks in grazed grasslands depends on aridity and irrigation duration. Geoderma 399, 115109
Impacts of irrigation on soil C and N stocks in grazed grasslands depends on aridity and irrigation duration.Crossref | GoogleScholarGoogle Scholar |

PCE (2018) ‘Overseer and regulatory oversight: models, uncertainty and cleaning up our waterways.’ (Parliamentary Commissioner for the Environment: Wellington, New Zealand)

Pires LF, Borges JAR, Rosa JA, Cooper M, Heck RJ, Passoni S, Roque WL (2017) Soil structure changes induced by tillage systems. Soil and Tillage Research 165, 66–79.
Soil structure changes induced by tillage systems.Crossref | GoogleScholarGoogle Scholar |

Pöhlitz J, Rücknagel J, Schlüter S, Vogel H-J, Christen O (2020) Estimation of critical stress ranges to preserve soil functions for differently textured soils. Soil and Tillage Research 200, 104637
Estimation of critical stress ranges to preserve soil functions for differently textured soils.Crossref | GoogleScholarGoogle Scholar |

Rickard D, Cossens G (1973) Physical properties of irrigated and non-irrigated soils of the Manuherikia Valley. Technical Report No. 7. Winchmore Irrigation Research Station.

Rickard DS, Cossens GG (1966) Irrigation investigations in Otago, New Zealand. I. Description and physical properties of irrigated soils of the Ida Valley. New Zealand Journal of Agricultural Research 9, 197–217.
Irrigation investigations in Otago, New Zealand. I. Description and physical properties of irrigated soils of the Ida Valley.Crossref | GoogleScholarGoogle Scholar |

Rickard DS, Cossens GG (1968) Irrigation investigations in Otago, New Zealand. IV. Physical properties of soils of the Arrow Basin and Upper Clutha Valley. New Zealand Journal of Agricultural Research 11, 701–732.
Irrigation investigations in Otago, New Zealand. IV. Physical properties of soils of the Arrow Basin and Upper Clutha Valley.Crossref | GoogleScholarGoogle Scholar |

Román Dobarco M, Bourennane H, Arrouays D, Saby NPA, Cousin I, Martin MP (2019) Uncertainty assessment of GlobalSoilMap soil available water capacity products: a French case study. Geoderma 344, 14–30.
Uncertainty assessment of GlobalSoilMap soil available water capacity products: a French case study.Crossref | GoogleScholarGoogle Scholar |

Rowland L, da Costa ACL, Galbraith DR, Oliveira RS, Binks OJ, Oliveira AAR, Pullen AM, Doughty CE, Metcalfe DB, Vasconcelos SS, Ferreira LV, Malhi Y, Grace J, Mencuccini M, Meir P (2015) Death from drought in tropical forests is triggered by hydraulics not carbon starvation. Nature 528, 119–122.
Death from drought in tropical forests is triggered by hydraulics not carbon starvation.Crossref | GoogleScholarGoogle Scholar | 26595275PubMed |

Singh SK, Kumar M, Pandey CB, Ghosh A, Mukhopadhyay S, Sarkar D (2013) Differences in soil properties between irrigation and cropping sequences in the Thar Desert of India. Arid Land Research and Management 27, 17–31.
Differences in soil properties between irrigation and cropping sequences in the Thar Desert of India.Crossref | GoogleScholarGoogle Scholar |

Soil Survey Staff (2014) ‘Keys to soil taxonomy.’ (United States Department of Agriculture and Natural Resources Conservation Service: Washington, DC)

Stats NZ (2021) Livestock numbers. Available at https://www.stats.govt.nz/indicators/livestock-numbers. [Verified 4 May 2020]

Swanepoel PA, Botha PR, Preez CCd, Snyman HA (2013) Physical quality of a podzolic soil following 19 years of irrigated minimum-till kikuyu-ryegrass pasture. Soil and Tillage Research 133, 10–15.
Physical quality of a podzolic soil following 19 years of irrigated minimum-till kikuyu-ryegrass pasture.Crossref | GoogleScholarGoogle Scholar |

Viglizzo EF, Frank FC, Carreño LV, Jobbágy EG, Pereyra H, Clatt J, Pincén D, Ricard MF (2011) Ecological and environmental footprint of 50 years of agricultural expansion in Argentina. Global Change Biology 17, 959–973.
Ecological and environmental footprint of 50 years of agricultural expansion in Argentina.Crossref | GoogleScholarGoogle Scholar |

Vogeler I, Thomas S, van der Weerden T (2019) Effect of irrigation management on pasture yield and nitrogen losses. Agricultural Water Management 216, 60–69.
Effect of irrigation management on pasture yield and nitrogen losses.Crossref | GoogleScholarGoogle Scholar |

Wu R, Lawes R, Oliver Y, Fletcher A, Chen C (2019) How well do we need to estimate plant-available water capacity to simulate water-limited yield potential? Agricultural Water Management 212, 441–447.
How well do we need to estimate plant-available water capacity to simulate water-limited yield potential?Crossref | GoogleScholarGoogle Scholar |

Yost JL, Hartemink AE (2020) How deep is the soil studied – an analysis of four soil science journals. Plant and Soil 452, 5–18.
How deep is the soil studied – an analysis of four soil science journals.Crossref | GoogleScholarGoogle Scholar |

Zuo L, Zhang Z, Carlson KM, MacDonald GK, Brauman KA, Liu Y, Zhang W, Zhang H, Wu W, Zhao X, Wang X, Liu B, Yi L, Wen Q, Liu F, Xu J, Hu S, Sun F, Gerber JS, West PC (2018) Progress towards sustainable intensification in China challenged by land-use change. Nature Sustainability 1, 304–313.
Progress towards sustainable intensification in China challenged by land-use change.Crossref | GoogleScholarGoogle Scholar |