Water Availability In Regions Research Articles

Analysis of Rainwater Availability and Water Requirements in the Amarasi District Area Kupang Regency

The hydrological conditions of the Amarasi District, Kupang Regency have 3-4 wet months and 8-9 dry months according to Oldeman’s classification. Annual rainfall in the last ten years shows the lowest rainfall was 1,461mm and the highest was 2,688mm, the average annual rainfall was 1,859mm. The Amarasi region is included in zones D and E of the Oldeman climate classification. The practice of utilizing limited water resources by planting fodder crops in the form of legumes and grasses as well as food crops in integrated dry land agriculture has been carried out by the Amarasi community. This research examines the availability and demand for domestic, agricultural and livestock water and will produce an availability index as the carrying capacity of regional water availability. The method used to calculate the availability of water originating from rain is runoff analysis based on weighted coefficients for each land use, then analyzed in a monthly series and compared with the level of water demand for each use. Domestic water needs, livestock drinking and irrigation follow SNI 19-6728.1.2002. Then the analysis results are interpreted with tables and time series graphs. The research results show the following time series of water availability: January: 44,626,635.13m3; February: 31,210,646.01m3; March : 20,050,098.53m3; April: 11,726,074.47m3; May : 3,023,180.66m3; June: 1,747,689.52m3; July : 973,284.18m3; August : 168,880.36m3; September: 1,026,614.82m3. October 2,846,522.91m3; November 10,713,903.37m3; and December: 26,871,976.23m3. The amount of water demand in the time series is as follows: January: 1,929,491.70m3; February: 1,391,817.98m3; March: 1,697,543.42m3; April: 781,567.95m3; May : 883,736.22m3; June: 755,911.95m3; July : 284,777.42m3; August : 384,569.42m3; September: 387,871.95m3. October 355,448.02m3; November 3,242,283.15m3; and December: 2,631,159.26m3. Water availability index: January: 4.32 (good), February: 4.46 (good), March: 8.47 (good), April: 6.67 (good), May: 29.23 (slight critical), June: 43.25 (mild critical), July: 29.26 (mild critical), August: 227.27 (bad/severe critical), September: 37.78 (mild critical), October 12.49 (good), November: 30.26 (mild critical) and December 9.79 (good).

Two-Decadal Glacier Changes in the Astak, a Tributary Catchment of the Upper Indus River in Northern Pakistan

Snow and ice melting in the Upper Indus Basin (UIB) is crucial for regional water availability for mountainous communities. We analyzed glacier changes in the Astak catchment, UIB, from 2000 to 2020 using remote sensing techniques based on optical satellite images from Landsat and ASTER digital elevation models. We used a surface feature-tracking technique to estimate glacier velocity. To assess the impact of climate variations, we examined temperature and precipitation anomalies using ERA5 Land climate data. Over the past two decades, the Astak catchment experienced a slight decrease in glacier area (−1.8 km2) and the overall specific mass balance was −0.02 ± 0.1 m w.e. a−1. The most negative mass balance of −0.09 ± 0.06 m w.e. a−1 occurred at elevations between 2810 to 3220 m a.s.l., with a lesser rate of −0.015 ± 0.12 m w.e. a−1 above 5500 m a.s.l. This variation in glacier mass balance can be attributed to temperature and precipitation gradients, as well as debris cover. Recent glacier mass loss can be linked to seasonal temperature anomalies at higher elevations during winter and autumn. Given the reliance of mountain populations on glacier melt, seasonal temperature trends can disturb water security and the well-being of dependent communities.

Impact of Climate Change on Regional Water Availability and Demand for Agricultural Production: Application of Water Footprint Concept

Impact of Climate Change on Regional Water Availability and Demand for Agricultural Production: Application of Water Footprint Concept

Opportunities and challenges for precipitation forcing data in post‐wildfire hydrologic modeling applications

AbstractThe frequency and extent of wildfires have increased in recent decades with immediate and cascading effects on water availability in many regions of the world. Precipitation is used as primary input to hydrologic models and is a critical driver of post‐wildfire hydrologic hazards including debris flows, flash floods, water‐quality effects, and reservoir sedimentation. These models are valuable tools for understanding the hydrologic response to wildfire but require accurate precipitation data at suitable spatial and temporal resolutions. Wildfires often occur in data‐sparse, headwater catchments in complex terrain, and post‐wildfire hydrologic effects are particularly sensitive to high‐intensity, short‐duration precipitation events, which are highly variable and difficult to measure or estimate. Therefore, the assessment and prediction of wildfire‐induced changes to watershed hydrology, including the associated effects on ecosystems and communities, are complicated by uncertainty in precipitation data. When direct measurements of precipitation are not available, datasets of indirect measurements or estimates are often used. Choosing the most appropriate precipitation dataset can be difficult as different datasets have unique trade‐offs in terms of spatial and temporal accuracy, resolution, and completeness. Here, we outline the challenges and opportunities associated with different precipitation datasets as they apply to post‐wildfire hydrologic models and modeling objectives. We highlight the need for expanded precipitation gage deployment in wildfire‐prone areas and discuss potential opportunities for future research and the integration of precipitation data from disparate sources into a common hydrologic modeling framework.This article is categorized under: Science of Water > Hydrological Processes Science of Water > Methods Science of Water > Water and Environmental Change

Forecasting changes in precipitation and temperatures of a regional watershed in Northern Iraq using LARS-WG model

Abstract Regions characterized by an arid or semi-arid climate are highly susceptible to prospective climate change impacts worldwide. Therefore, evaluating the effects of global warming on water availability in such regions must be accurately addressed to identify the optimal operation policy of water management facilities. This study used the weather generator model LARS-WG6.0 to forecast possible variations in precipitation and temperature of the Mosul Dam Reservoir in northern Iraq. Future climate change was predicted using three greenhouse gas emission scenarios (i.e., RCP2.6, RCP4.5, and RCP8.5) for four time intervals (2021–2040, 2041–2060, 2061–2080, and 2081–2100) using five Global climate models (GCMs): CSIRO-Mk3.6.0, HadGEM2-ES, CanESM2, BCC-CSM1-1, and NorESM1-M. The model’s calibration and validation were conducted using data from 2001 to 2020 from eight meteorological stations in the study area. The results showed that the weather generator model’s performance was outstanding in predicting daily climate variables. The results also showed that the highest increase in maximum and minimum temperatures was 5.70°C in July and 5.30°C in September, respectively, for the future period 2081–2100 under RCP8.5. The highly forecasted minimum and maximum temperatures were extracted from the CanESM2 and HadGEM2-ES GCM models. It was demonstrated that the study region would experience different patterns of precipitation change during the wet seasons in the evaluated periods. Finally, the variations in precipitation and temperatures in the Mosul dam region would significantly impact the amount of freshwater obtained in these areas due to rising loss rates of evaporation. This could lead to a water shortage and mismanagement of the sustainable operations of the dam.

Locating Hydrologically Unsustainable Areas for Supporting Ecological Restoration in China's Drylands

AbstractChina has undertaken extensive ecological restoration (ER) projects since the late 1970s in drylands, dominating the greening of drylands. The greening, especially ER‐induced, can affect regional water availability and even cause hydrological unsustainability (i.e., lead to a negative shift in ecosystem water supply and demand balances). However, there is still limited research on accurately identifying the hydrologically unsustainable greening areas (GA) in China's drylands. Here, we developed an ecosystem water supply‐demand indicator, namely, the water self‐sufficiency (WSS), defined as the ratio of water availability to precipitation. Using remote sensing and multisource synthesis data sets combined with trend analysis and time series detection, we conducted a spatially explicit assessment of the hydrological sustainability risk of greening in China's drylands in the context of ER projects over the period 1987–2015. The results showed that 17.15% (6.36 × 104 km2) of the GA faced a negative shift in the WSS (indicating hydrological unsustainability), mainly in Inner Mongolia, Shanxi, and Xinjiang provinces, driven by evapotranspiration. Moreover, 29.34% (1.09 × 105 km2) of the GA, whose area is roughly double that of hydrologically unsustainable GA, exhibited a potential water shortage with a significant WSS decline (−0.014 yr−1), concentrated in Inner Mongolia, Shaanxi, and Gansu provinces. The reliability of our findings was demonstrated through previous studies at the local scale and an analysis of soil moisture changes. Our findings offer precise grid‐scale identification of the hydrologically unsustainable GA, providing more specific spatial guidance for ER implementation and adaptation in China's drylands.

Temporal Assessment of GCM-Driven Hydroclimatic Conditions for the Alberta Oil Sands Region, Canada

Abstract Freshwater supplies in most western Canadian watersheds are threatened by the warming of temperatures because it alters the snow-dominated hydrologic patterns that characterize these cold regions. In this study, we used datasets from 12 climate simulations, which are associated with seven global climate models and four future scenarios and are participating in phase 6 of the Coupled Model Intercomparison Project, to calculate and assess the historical and future temporal patterns of 13 hydroclimate indicators relevant to water resources management. We conducted linear long-term trend and change analyses on their annual time series to provide insight into the potential regional impacts of the detected changes on water availability for all users. We implemented our framework on the Alberta oil sands region in Canada to support the monitoring of environmental changes in this region, relative to the established baseline 1985–2014. Our analysis indicates a persistent increase in the occurrence of extreme hot temperatures, fewer extreme cold temperatures, and an increase in warm spells and heatwaves, while precipitation-related indices show minor changes. Consequently, deficits in regional water availability during summer and water-year periods, as depicted by the standardized precipitation evapotranspiration indices, are expected. The combined effects of the strong climate warming signals and the small increases in precipitation annual amounts generally detected in this study suggest that drier conditions may become severe and frequent in the Alberta oil sands region. The challenging climate change risks identified for this region should therefore be continuously monitored, updated, and integrated to support a sustainable management for all water users.

Sustainability of Duero Water Systems for Crop Production in Spain

In recent decades, increased water demand combined with the effects of climate change has endangered water availability in many regions. In this context, sustainable water management has become a priority, seeking to balance human needs with the conservation of aquatic ecosystems. In the Duero basin (Spain), the availability of water is especially relevant for agricultural purposes, representing 93% of the total water needs. This study focuses on identifying and assessing the short-term sustainability of irrigated crop production in the Duero River basin. The maximum potential availability of surface water for irrigation was estimated and compared with the short-term agricultural surface water demand. The analysis was based on the use of a high-spatial-resolution (500 × 500 m) GIS-based model named WAAPA, and three indexes were used to evaluate and analyze the results. The results show that by analyzing the river basin in an aggregate form, the demands for irrigation were met, in which the reservoirs played an important role. When the analysis was downscaled to tributaries or even small streams, non-sustainable situations were identified. This shows the importance of using high-spatial-resolution models to improve, maintain, and achieve sustainability in the production of irrigated crops.

Spatio-temporal variability and trend of blue-green water resources in the Kaidu River Basin, an arid region of China

Study regionKaidu River Basin, an arid region of China Study focusWater resources are scarce and unstable. Adverse changes in blue-green water resources can disrupt water balance and availability in arid regions. Therefore, it is crucial to effectively assess and predict future blue-green water resources in arid areas. This study utilizes the Soil and Water Assessment Tool (SWAT), Patch-generating Land Use Simulation (PLUS), and Global Circulation Models (GCMs) to analyze the interactive impacts of climate and land use/cover changes (LUCC) on blue-green water in arid basin from 1990 to 2050. New hydrological insights for the regionThis work identified key factors influencing blue-green water changes, including forests, grasslands, and snowmelt. In the historical scenarios, the Kaidu River basin exhibited significant interannual variations in blue water and precipitation. In the future scenarios, blue water increases (+3.6%), and green water decreases (−1.8%) under SSP245 (medium emissions). Under SSP585 (high emissions), blue water decreases (−2.4%), and green water increases (+1.8%). Under SSP126 (low emissions), both blue water (+8.5%) and green water (+0.73%) show an increasing trend. The change in snowmelt is the main reason for the first peak of blue water in April May. Under historical and future snowmelt conditions, blue water shows a significant upward or downward trend with the amount of snowmelt. The findings provided practical hints for the enhancement of the management and allocation of precious water resources.

Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5)

Abstract. Farmers around the world time the planting of their crops to optimize growing season conditions and choose varieties that grow slowly enough to take advantage of the entire growing season while minimizing the risk of late-season kill. As climate changes, these strategies will be an important component of agricultural adaptation. Thus, it is critical that the global models used to project crop productivity under future conditions are able to realistically simulate growing season timing. This is especially important for climate- and hydrosphere-coupled crop models, where the intra-annual timing of crop growth and management affects regional weather and water availability. We have improved the crop module of the Community Land Model (CLM) to allow the use of externally specified crop planting dates and maturity requirements. In this way, CLM can use alternative algorithms for future crop calendars that are potentially more accurate and/or flexible than the built-in methods. Using observation-derived planting and maturity inputs reduces bias in the mean simulated global yield of sugarcane and cotton but increases bias for corn, spring wheat, and especially rice. These inputs also reduce simulated global irrigation demand by 15 %, much of which is associated with particular regions of corn and rice cultivation. Finally, we discuss how our results suggest areas for improvement in CLM and, potentially, similar crop models.

Population dynamics of the threatened Oregon spotted frog before and after drought mitigation

AbstractAmphibians are among the most sensitive taxa to climate change, and species inhabiting arid and semiarid landscapes at the extremes of their range are especially vulnerable to drought. The Jack Creek, Oregon, USA, population of Oregon spotted frogs (Rana pretiosa) faces unique challenges because it occupies the highest elevation site in the species' extant range and one that has been transformed by loss of American beavers (Castor canadensis), which historically maintained open water. We evaluated the effects of drought mitigation (addition of excavated ponds) on relationships between local and regional water availability, inactive legacy beaver dams, and Oregon spotted frog population dynamics in the Jack Creek system. We conducted egg mass surveys and capture‐mark‐recapture sampling at a treatment reach with excavated ponds and 3 reference reaches over 13 years; surveys spanned a period before and after pond excavation at the treatment and 1 primary comparison reference reach. We analyzed data using a combination of robust design capture‐mark‐recapture estimators and generalized linear mixed models to characterize population dynamics. Adult Oregon spotted frog survival was approximately 19.5% higher at the treatment reach than the primary reference reach during the study period. Annual survival was most strongly associated with late summer vegetation greenness, a proxy for water availability, and males had higher survival than females. Among the 4 study reaches, the treatment reach consistently had higher late summer vegetation greenness, and the hydrology functioned more independently of regional precipitation patterns relative to the reference reaches; however, these dynamics were not linked to pond excavation. Breeding was concentrated in 2 legacy beaver ponds that were deepened by excavation during the study compared to an unexcavated beaver pond, 2 excavated ponds without legacy beaver dams, and 9 reference ponds. These results point to the benefit of enhancing existing beaver structures and indicate that management actions aimed at maintaining surface water for breeding in spring and saturated soils and ponded water for adults in late summer would benefit this unique population of Oregon spotted frogs in the face of drought.

Urea-Straw-Starch Fertilizer with Tunable Water- and Nutrient-Retaining Properties Assisted by High-Energy Electron-Beam Irradiation.

A novel type of water- and nutrient-retaining fertilizer (WNRF) was prepared by mixing, melting, and extruding high-energy electron-beam (HEEB)-irradiated corn straw, urea, and starch. HEEB irradiation technique effectively killed pathogenic microorganisms in straw and further improved the adsorption and binding capacity of straw to urea and water. Compared to nonirradiated HEEB samples, the optimal WNRF improved the water retention rate by 25.63%, the migrate-to-surface loss control rate by 60.2%, and the leaching loss control rate by 34.71%, respectively. Thus, it effectively facilitated the growth of pak choi with a 24% increase in the dry matter weight of the shoot. This work provides a promising approach to improve water and nutrient availability in arid and semi-arid regions and to promote the efficient utilization of straw resources.

Effect of Irrigation Intervals on Some Morphological Traits, Seed Properties and Essence Yield of Savory (Satureja spicigera L.) Under Field Conditions

Agricultural management is one of the main factors to ameliorate environment adverse effects. Climate change has adverse effects on water availability in drought and semi-drought regions that constrain crop survival. In order to investigate the effect of irrigation intervals on morphological characteristics and yield components of savory plant (Satureja spicigera L.), an experiment was carried out based on randomized complete block design in three levels irrigation interval treatments (7 days (I7), 14 days (I14) and 21 days (I21)) with three replications in Khorasan Razavi Agricultural and Natural Resources Research and Education Center during of 2019. Results showed that with increase in irrigation intervals, all morphological characteristics and yield components were decreased. However there was no significant differences in seed and essence yield, plant canopy area, number of main stems, number of branches and stem diameter due to I7 and I14 treatments. In drought stress (I21), seed width was more affected than seed length. The lowest percentage of survival was observed in I21 treatment which was reduced by 26% and 35% respectively, compared to treatments I14 and I7. By increasing the irrigation interval to 21 days, the highest reduction in savory characteristics occurred, so that the highest and lowest biomass and seed yield were recorded from I7 and I21 treatments, respectively. There was a significant positive correlation between biomass and plant height (r = 0.998*), total plant leaf area (r = 0.770*), number of main stems (r = 0.796*) and number of branches (r = 0.998*). It seems that savory production can be improved in acceptable amount with 14-day irrigation interval.

Physiological, Biochemical, Anatomical, and Agronomic Responses of Sesame to Exogenously Applied Polyamines under Different Irrigation Regimes

Polyamines (PAs) are plant growth regulators that attenuate the destructive impacts of water deficit on sesame plants, particularly in arid regions under abrupt climate change. Limited information is available on the physiological, biochemical, anatomical, and agronomic responses of sesame to exogenous application of PAs under water deficit under field conditions. Thus, a two-season field trial was carried out to assess the impact of exogenously sprayed spermine (Spm), spermidine (Spd), and putrescine (Put) on physio-biochemical and anatomical parameters and their influences on agronomic performance and crop water productivity of sesame plants. The sesame plants were assessed under three irrigation regimes; full irrigation (100% ETc), mild drought (75% ETc), and severe drought (50% ETc) conditions. Drought stress displayed negative impacts on all evaluated parameters. However, exogenously applied Pas, especially Put, restricted the destructive effects of water deficit. The application of PAs exhibited highly significant enhancement in photosynthetic pigments (chlorophyll a, b, and carotenoids), gas exchange (net photosynthetic rate, stomatal conductance, and rate of transpiration), water relations (relative water content, membrane stability index, excised leaf water retention), and plant nutrient content (N, P, and K) compared to untreated plants, particularly under severe drought stress. Moreover, PA application displayed highly significant amelioration in osmoprotectants (free proline, soluble sugars, α-Tocopherol, ascorbate, and glutathione), and antioxidant enzyme activities (catalase, peroxidase, superoxide dismutase, ascorbate peroxidase, and glutathione reductase). In addition, foliar nourishing with PAs exhibited a highly significant reduction in oxidative stress markers (malondialdehyde, electrolyte leakage, superoxide, and hydrogen peroxide). These positive impacts of PA application under drought stress were reflected in highly significant improvement in anatomical characteristics (midrib length and width, vascular bundle length and width, thickness of phloem, xylem and collenchyma, vessel diameter, and number of xylem rows in midvein bundle), and yield-related traits (plant height, leaf area, number of capsules per plant, 1000-seed weight, seed yield, and oil content). Consequently, exogenous application of PAs (in particular, Put) could be exploited to enhance the crop water productivity and yield traits of sesame plants under low water availability in arid regions.

How could managed aquifer recharge be feasible in the Coleambally Irrigation Area?

ABSTRACT Managed aquifer recharge (MAR) has been proposed as an innovative water storage method to manage variable water availability in Australian agricultural regions by combatting water shortage whilst addressing groundwater overuse and reducing large evaporative losses from surface storages. MAR innovations involve the recharge of water into aquifers and extraction when needed. However, their uptake has been limited as they are associated with large amounts of uncertainty. We present an argumentation approach to reason about the feasibility of MAR in the Coleambally Irrigation Area in the Murrumbidgee catchment. Three scenarios that focus on managed aquifer recharge and two competing surface water scenarios are developed for the case study area, as well as associated recommendations aimed at the key stakeholders who can initiate change. The approach and scenarios show potential, with future work involving the implementation of the recommendations and the application of the approach to another case study for further refinement.

Extreme local recycling of moisture via wetlands and forests in North-East Indian subcontinent: a Mini-Amazon

Moisture recycling in precipitation is an important hydrological process, accounting for ~ 67% globally. North-east India, home to the world's wettest place, boasts vast wetlands and forest-cover. Despite its proximity to the coast, we find locally recycled moisture to be the primary annual source of rainfall (~ 45%). During the pre-monsoon season, the enriched δ18O (~ − 0.7 ‰) and high d-excess (~ 14 ‰) are ascribed to enhanced transpiration, owing to atmospheric instability which causes Nor’westers. During the Monsoon season, oceanic flux provides increased surficial moisture, enabling deep-localised convection via evaporation. Significant localised recycling, even during the Monsoon season is estimated (~ 38%), with predominantly high d-excess in precipitation during latter half of the monsoon with increased moisture contribution from floods in Brahmaputra (high d-excess). The increasing δ18O and d-excess during the post-monsoon season is associated with progressively lesser rainout history and increased localized recycling (~ 67%). In light of the dwindling wetlands and forest-cover, our study highlights their indispensable role in governing regional hydro-meteorology and water availability.

Land resource allocation between biomass and ground-mounted PV under consideration of the food–water–energy nexus framework at regional scale

An economy’s shift towards climate neutrality requires a massive expansion of renewable energy production. Next to wind, photovoltaic (PV) and biomass will be key renewable resources in many regions. A land-use change to PV increases local electricity production, but influences regional water and biomass availability. However, a regional quantitative guideline on biomass-PV tradeoffs on all agricultural fields under food–water–energy (FWE) nexus thinking is still missing. This work presents a comprehensive bottom-up interdependency assessment between ground-mounted PV and biomass generation on a regional scale by integrating independently established methods based on consistent input data at spatial field resolution. Furthermore, impacts on food and water availability are also quantified. Four scenarios were set up based on current policies and future trend, emphasizing PV yield, feasibility, profit, and biomass yields, respectively. The assessment and scenarios are applied to three representative German counties with distinguished land-use structures and geometries as case studies. Scenario analysis shows that the optimal technical strategy is to free the market letting individuals to maximize revenue from their lands, which likely simultaneously is good for society, achieves high PV yields with limited biomass losses, and has more significant crop water saving effects.

Impacts of climate and land-use changes on water yields: Similarities and differences among typical watersheds distributed throughout China

Study regionSeventeen watersheds distributed throughout China Study focusClimate and land-use changes result in significant impacts on watershed water yields. The water yield response to climate and land-use changes differs due to variations in watershed geographical, climatic, and socioeconomic characteristics. Effects of watershed characteristics on water yield response remain unclear. In this study, the InVEST model is used to simultaneously assess water yields of 17 typical watersheds distributed throughout China, with widely differing characteristics, and specific scenario simulations are conducted to compare similarities and differences among different watersheds in the water yield response to climate and land-use changes. New hydrological insights for the regionResults show that about three quarters of the investigated watersheds are characterized by increasing water yields from 1990 to 2020. The impact of climate change on water yield is similar in these watersheds. However, water yield response to land-use changes exhibits significant spatial differences, which is affected by watershed geographical and climatic characteristics. The mean annual water yield of Hai River watershed with two megacities (Beijing and Tianjin) is lowest among investigated watersheds, which is only 0.14 % of that in the Min River watershed in southeastern China. This implies that the mismatch of regional socioeconomic development and water availability remains a big challenge in China and requires rational cross-watershed management strategies.

Vegetation complexity and pool size predict species richness of forest birds

Disentangling regional and local drivers of species richness in communities is a long-term focus of ecology. Regional species pools affect local communities by providing their constituent species. Additionally, the amount and variety of resources enhance diversity locally. Here, we investigated whether the same ecological factor (vegetation complexity) shapes both regional and local species richness and thus drives local diversity both indirectly (via pool size) and directly (via facilitating the coexistence of species). We studied passerine birds of woodlands and forests in eastern Australia. We quantified regional species pool size and sampled local bird communities at 63 transects spanning 3,000 km. We estimated canopy height both regionally using satellite imagery and locally using vegetation sampling in the field. We studied how species pool size changed with regional canopy height and water availability, and how local species richness changed with pool size and local canopy height. Local species richness increased with both local canopy height and the size of the regional species pool. Pool size, in turn, increased with regional canopy height, which itself increased with water availability. Moreover, local species richness expressed as a proportion of the regional pool also increased with local canopy height. In sum, vegetation complexity indexed by canopy height had a doubly positive effect on local species richness: indirectly by promoting a large regional species pool and directly by facilitating the coexistence of disproportionately many species locally. Regional pools were larger in tall forests probably due to the legacy of extensive moist forests that once covered most of Australia, thus providing a sizeable potential for speciation, diversification, and species persistence. Local species richness was greater in tall, more productive forests with more vegetation layers likely due to more and varied resources (i.e., more potential niches), allowing the coexistence of more individuals and species of consumers.

The effects of boron-enriched water irrigation on soil microbial community are dependent on crop species

The extreme rainfall shortage forecasted for the coming decades will compromise water availability in arid and semiarid regions around the planet. To address water scarcity in agriculture, desalinated seawater stands out as the most feasible option among the current alternative water sources. However, its high content of boron (B), among other phytotoxic elements, entails a potential risk for plant-soil sustainability. Here, we tested the response of the crop-soil system to different concentrations of B (0, 0.3, 1 and 15 mg B L−1) in the irrigation water, in an open-air pot experiment. Onion (Allium cepa L.), with a higher sensitivity to B toxicity, and tomato (Solanum lycopersicum L.) were used as model horticultural crops. Shifts in the biomass and the structure of the soil microbial community, as estimated by fatty acid analyses, due to the medium B dose (1.0 mg L−1) depended on the plant species. Indeed, the highest B dose (15 mg L−1) increased the B content in the soil, exceeding the toxic threshold and disturbing the soil nitrogen cycle. The activity, structure and biomass of the soil microbial community are the most sensitive soil properties to B accumulation in the soil and they are also negatively impacted by the large amount of B added to the soil. Moreover, the increased supply of B fostered its bioaccumulation in plant tissues. Nevertheless, the highest B dose only had harmful effects on tomato crops, consisting of yield reduction and foliar nutrient imbalance.