Excess nutrient inputs and climate change are two of multiple stressors affecting many lakes worldwide. Lake Vansjø in southern Norway is one such eutrophic lake impacted by blooms of toxic blue-green algae (cyanobacteria), and classified as moderate ecological status under the EU Water Framework Directive. Future climate change may exacerbate the situation.

Household air pollution (HAP) is the eighth leading risk factor for global disease burden, contributing to 2.9 million yearly premature deaths. Nearly 80% of the sub-Saharan population and about 90 million households in Nigeria use biomass as their primary fuel for cooking and energy needs, which can adversely impact their health. Exposure to air pollution has been linked to adverse pregnancy outcomes like stillbirth, preeclampsia, preterm birth, low birth weight, reduced fetal head circumference, miscarriage, and intra-uterine fetal growth retardation (IUGR).

It is a major challenge to achieve the goal of increasing grain yield, nitrogen use efficiency (NUE) and irrigation water productivity (IWP) in cereals. This study investigated if progressive integrative crop management technology in rice (Oryza sativa L.) could improve agronomic and physiological performances, and consequently, increase grain yield, NUE and IWP.

The recent increase in nanoparticle (P25 TiO2 NPs) usage has led to concerns regarding their potential implications on environment and human health. The food chain is the central pathway for nanoparticle transfer from lower to high trophic level organisms. The current study relies on the investigation of toxicity and trophic transfer potential of TiO2 NPs from marine algae Dunaliella salina to marine crustacean Artemia salina.

The thermal suitability of riverine habitats for cold water adapted species may be reduced under climate change. Riparian tree planting is a practical climate change mitigation measure, but it is often unclear where to focus effort for maximum benefit. Recent developments in data collection, monitoring and statistical methods have facilitated the development of increasingly sophisticated river temperature models capable of predicting spatial variability at large scales appropriate to management.

Landslide displacement prediction is one of the focuses of landslide research. In this paper, time series analysis was used to decompose the cumulative displacement of landslide into a trend component and a periodic component. Then LSSVM model and GA were used to predict landslide displacement. The results show that the GA-LSSVM model can be effectively used to predict landslide displacement and reflect the corresponding relationships between the major influencing factors and the displacement.

Models show that several aspects of Earth’s top-of-atmosphere energy budget and the magnitude of projected global warming are correlated, enabling us to infer that future warming has been underestimated.

Despite the international recognition accorded to the key role played by women in issues around water, the extent to which India’s national water policies accommodate gender concerns remains to be examined. Based on an in-depth content analysis of the three nwps—of 1987, 2002, and 2012—this paper argues that incorporation of women in the planning, provisioning, and management of water resources continues to be disregarded.

The El Niño/Southern Oscillation (ENSO) has a pronounced influence on year-to-year variations in climate1. The response of fires to this forcing2 is complex and has not been evaluated systematically across different continents. Here we use satellite data to create a climatology of burned-area and fire-emissions responses, drawing on six El Niño and six La Niña events during 1997–2016.

 

A critical question for agricultural production and food security is how water demand for staple crops will respond to climate and carbon dioxide (CO2) changes, especially in light of the expected increases in extreme heat exposure. To quantify the trade-offs between the effects of climate and CO2 on water demand, we use a ‘sink-strength’ model of demand which relies on the vapour-pressure deficit (VPD), incident radiation and the efficiencies of canopy-radiation use and canopy transpiration; the latter two are both dependent on CO2.

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