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Much of New South Wales and southern Queensland suffered from extreme drought from 2017 to 2019. This study models drought and bushfires impacts using VU‐TERM, a multi‐regional, dynamic CGE model. Prolonged drought pushed national real GDP to 0.7 per cent or more below base in 2018–2019 and 2019–2020. NSW’s real GDP fell relative to forecast by 1.1 per cent or $6.9 billion in 2018–2019 and 1.6 per cent or $10.2 billion in 2019–2020. These impacts reflect a severe diminution of farm output, given that agriculture accounts for around 1.6 per cent of NSW’s income. Bushfires exacerbated 2019–2020 losses. We assume that there is a full recovery in seasonal conditions in 2020. However, prolonged drought and bushfire destruction deplete farm capital through depressed investment and diminished herd numbers. Consequently, the income earning capacity of farms in recovery remains below that of a no drought base. The net present value of the national welfare loss is $63 billion, split between $53 billion in losses from drought and $10 billion from bushfires. The latter excludes any valuation of human lives lost, flora, fauna or forestry destruction. In the longer term, adaptation and policy responses will need to reflect the expectation of increased frequency of adverse climatic events.

Due to various environmental degradation and natural resource depletion around the world, researchers' and policymakers' attention has turned to what causes environmental degradation. The pursuit of a healthy environment has become a global challenge, a problem that affects more than one nation. Climate change is causing severe weather conditions in every world, disrupting economies and affecting the lives of many people. Hence, the study analyzes how trade and economic growth impact environmental degradation in Belgium, the USA, and Canada using panel data from 1995 to 2016. The study utilized the autoregressive distributed lag approach to provide new evidence and policy implications. The outcome confirmed the presence of cointegration among the selected variables. However, it was observed that economic growth decreases environmental degradation in the long run while trade openness shows a positively insignificant relationship with carbon emission. Nevertheless, a positive short-run relationship was observed between economic growth and carbon emissions whereas a negatively insignificant relationship was observed for trade and carbon emission. The findings prompted policy implications that more trading could be done between the countries. When countries trade more, their economies will flourish, ensuring global prosperity and minimizing environmental degradation.

Arbuscular mycorrhizal (AM) fungi play key roles in plant nutrition and plant productivity. AM fungal responses to either plant identity or fertilization have been investigated. However, the interactive effects of different plant species and fertilizer types on these symbiotic fungi remain poorly understood. We evaluated the effects of the factorial combinations of plant identity (grasses Avena sativa and Elymus nutans and legume Vicia sativa) and fertilization (urea and sheep manure) on AM fungi following 2-year monocultures in a sown pasture field study. AM fungal extraradical hyphal density was significantly higher in E. nutans than that in A. sativa and V. sativa in the unfertilized control and was significantly increased by urea and manure in A. sativa and by manure only in E. nutans, but not by either fertilizers in V. sativa. AM fungal spore density was not significantly affected by plant identity or fertilization. Forty-eight operational taxonomic units (OTUs) of AM fungi were obtained through 454 pyrosequencing of 18S rDNA. The OTU richness and Shannon diversity index of AM fungi were significantly higher in E. nutans than those in V. sativa and/or A. sativa, but not significantly affected by any fertilizer in all of the three plant species. AM fungal community composition was significantly structured directly by plant identity only and indirectly by both urea addition and plant identity through soil total nitrogen content. Our findings highlight that plant identity has stronger influence than fertilization on belowground AM fungal community in this converted pastureland from an alpine meadow.

This chapter uses data on Intended Nationally Determined Contributions (INDCs) to examine the nature of climate change mitigation and adaptation actions being pursued in African countries and assesses the extent to which preferred mitigation and adaptation priorities advance the cause of sustainable development on the continent. The prospective synergies between mitigation and adaptation approaches and sustainable development are assessed. Also, the pathways through which resource constraints and institutional and policy environment affect Africa’s ability to mitigate and adapt to climate change are examined, as well as the degree to which these constraints are being addressed. It is argued that Africa’s ability to benefit from sustainable development synergies embedded in the mitigation and adaptation strategies in the INDCs will be greatly limited by institutional and policy environment that hinders funding, capacity building, and technological innovation systems development. The slow pace of efforts to address these impediments further erodes confidence that climate adaptation in Africa will be effective at sufficiently contributing to a reduction in climate change risks to the continent.

Abstract Biomass is the major energy source in Ethiopia contributing to about 89% of Ethiopia's primary energy supply. This review aims to determine the biomass resources, value prospective, conversion strategy and biofuel policy in the country. The present energy system and the potential of the broad areas of energy crops, agricultural crop residues, forest product residues, urban wastes and animal wastes are explored. The study on the availability of various biomass resources, together with a brief description of the conversion processes of these resources into biofuel is inspected. The current energy system shows a large variation between urban and rural consumption. Nearly the entire rural households depend on traditional biomass-based energy for cooking, while about 90% of urban households use electricity for lighting. The estimated total amount of biomass resource available for energy in Ethiopia in 2014–2015 is 1120 million tons with the annual energy potential of 46.91 million tons of coal equivalent and the annually exploitable agro-wastes account for 18 million tons. This enormous availability of biomass gives an immense potential to make the most of the biofuel expanding strategies in Ethiopia. The aim of this review is to reflect on various environmental issues resulting from energy production and utilization via sustainable biofuel feedstock.

Abstract In this research, we evaluated the intent of engaged private forest landowners to supply woody biomass for bioenergy production. The study was conducted in a U.S. state (Kentucky) where private individuals own a majority (78%) of the state's forest resources. Intent of family forest owners was measured using a mail-based survey. We used the Theory of Planned Behavior to model factors that affect landowner intention, and we tested the effect of educational materials on participates' reported intent. Two-thirds of respondents indicated that they intend to include energy wood in future harvests, but the educational material treatment did not affect intentions. Respondents' attitudes, perceived subjective norms, and perceived control each had a significant effect on intent to harvest. No demographic or land ownership characteristics had an effect on behavioral intent. The only prior harvest activity that significantly increased intent was whether the subject had harvested pulpwood from their forest in the past. Respondents identified barriers that may prevent them from harvesting energy wood, providing forestry professionals with a list of challenges to overcome if supply is to be maximized. Lack of bioenergy markets and woodland access issues were the most frequently reported barriers.

The world's largest alpine pastures are found on the Tibetan Plateau, where considerable climate changes and human impacts have been experienced. Identifying their contributions to terrestrial productivity is essential if we are to adapt to, or mitigate the effects of, climate change. In this work, we begin by showing how the current warming and wetting of the climate over the last three decades has favored plant growth, as consistently captured by satellite observations and 15 models. However, the interactions between climate factors explain less of the variation in greenness observed by satellites after the 2000s, implying non-climatic influences. Next, we show that there is a significant negative impact of livestock grazing on pasture greenness, especially in peak summer. Official statistics across 72 counties verify these negative impacts, especially in poorer pastures with a higher density of grazing livestock. The variation in grazing density has a stronger negative effect on vegetation growth during the early part of the growing season after the 2000s, as compared with that before the 2000s. We found a compensatory effect of grazing and climate on alpine grassland growth, and the grazing regulates the response of vegetation greenness to climate change by modulating the dependency of vegetation growth on temperature. Thus, we suggest there is a weakening influence of climate on the greenness of alpine pastures, largely due to a strengthening influence of management, which should be considered by both the scientific community and policymakers.

This study examined the potential use of macroalgae epiphytic on mangrove aerial roots as indicators of estuarine contamination. The distribution and abundance of macroalgae was investigated in four estuaries in the vicinity of Sydney, Australia, and compared to water and sediment metal concentrations, nutrient concentrations and physicochemical parameters over four seasonal surveys. Macroalgal diversity and distribution appeared to be highly influenced by the ambient contaminant concentrations, while biomass appeared to be linked with nutrient concentrations. The distribution of the Rhodophyta species, Catenella nipae Zanardini significantly decreased as metal concentrations increased among the estuaries during all seasonal surveys. This species showed strong potential for use as a bioindicator of estuarine contamination.