Temporal Changes in Coupled Vegetation Phenology and Productivity are Biome-Specific in the Northern Hemisphere

Global warming has greatly stimulated vegetation growth through both extending the growing season and promoting photosynthesis in the Northern Hemisphere (NH). Analyzing the combined dynamics of such trends can potentially improve our current understanding on changes in vegetation functioning and the complex relationship between anthropogenic and climatic drivers. This study aims to analyze the relationships (long-term trends and correlations) of length of vegetation growing season (LOS) and vegetation productivity assessed by the growing season NDVI integral (GSI) in the NH (>30°N) to study any dependency of major biomes that are characterized by different imprint from anthropogenic influence. Spatial patterns of converging/diverging trends in LOS and GSI and temporal changes in the coupling between LOS and GSI are analyzed for major biomes at hemispheric and continental scales from the third generation Global Inventory Monitoring and Modeling Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) dataset for a 32-year period (1982–2013). A quarter area of the NH is covered by converging trends (consistent significant trends in LOS and GSI), whereas diverging trends (opposing significant trends in LOS and GSI) cover about 6% of the region. Diverging trends are observed mainly in high latitudes and arid/semi-arid areas of non-forest biomes (shrublands, savannas, and grasslands), whereas forest biomes and croplands are primarily characterized by converging trends. The study shows spatially-distinct and biome-specific patterns between the continental land masses of Eurasia (EA) and North America (NA). Finally, areas of high positive correlation between LOS and GSI showed to increase during the period of analysis, with areas of significant positive trends in correlation being more widespread in NA as compared to EA. The temporal changes in the coupled vegetation phenology and productivity suggest complex relationships and interactions that are induced by both ongoing climate change and increasingly intensive human disturbances

Striking a Balance between Livelihood and Forest Conservation in a Forest Farm Facility in Choma, Zambia

Charcoal production is an essential energy source and income source for many people in low-income countries, such as Africa. Charcoal production is also associated with deforestation—a global issue that significantly affects the environment and ecosystems. Therefore, promoting strategies that can balance forestry protection and people’s livelihoods in low-income countries is critical. This study investigated the factors affecting Zambia’s rural households’ participation in the natural regeneration (NR) program—the program initiated by the Forest and Farm Facility program (FFF) of the United Nations Food and Agricultural Organization (FAO) in Zambia in 2015. Using household survey data collected from Choma District in Southern Zambia, this study used descriptive statistical analysis and a logit model to detect the factors that affect the use of the NR program. The results indicate that charcoal production enhances the livelihoods of rural households when forest conservation is reconciled with household income and forest-management methods that abandon traditional practices. Participation in the NR program seems to be mainly driven by household income. The results indicated that the relationship between forest-resource utilization and conservation in Choma is encouraging. The implementation of the Forest and Farm Facility program is recommended to be spread to other communities to improve both livelihoods in local communities and forest conservation

Striking a Balance between Livelihood and Forest Conservation in a Forest Farm Facility in Choma, Zambia

Charcoal production is an essential energy source and income source for many people in low-income countries, such as Africa. Charcoal production is also associated with deforestation—a global issue that significantly affects the environment and ecosystems. Therefore, promoting strategies that can balance forestry protection and people’s livelihoods in low-income countries is critical. This study investigated the factors affecting Zambia’s rural households’ participation in the natural regeneration (NR) program—the program initiated by the Forest and Farm Facility program (FFF) of the United Nations Food and Agricultural Organization (FAO) in Zambia in 2015. Using household survey data collected from Choma District in Southern Zambia, this study used descriptive statistical analysis and a logit model to detect the factors that affect the use of the NR program. The results indicate that charcoal production enhances the livelihoods of rural households when forest conservation is reconciled with household income and forest-management methods that abandon traditional practices. Participation in the NR program seems to be mainly driven by household income. The results indicated that the relationship between forest-resource utilization and conservation in Choma is encouraging. The implementation of the Forest and Farm Facility program is recommended to be spread to other communities to improve both livelihoods in local communities and forest conservation

Does Forest Industries in China Become Cleaner? A Prospective of Embodied Carbon Emission

Forests and the forest products industry contribute to climate change mitigation by sequestering carbon from the atmosphere and storing it in biomass, and by fabricating products that substitute other, more greenhouse-gas-emission-intensive materials and energy. This study investigates primary wood-working industries (panel, furniture, pulp and paper) in order to determine the development of carbon emissions in China during the last two decades. The input–output approach is used and the factors driving the changes in CO2 emissions are analyzed by Index Decomposition Analysis–Log Mean Divisia Index (LMDI). The results show that carbon emissions in forest product industries have been declining during the last twenty years and that the driving factor of this change is the energy intensity of production and economic input, which have changed dramatically

Does Forest Industries in China Become Cleaner? A Prospective of Embodied Carbon Emission

Forests and the forest products industry contribute to climate change mitigation by sequestering carbon from the atmosphere and storing it in biomass, and by fabricating products that substitute other, more greenhouse-gas-emission-intensive materials and energy. This study investigates primary wood-working industries (panel, furniture, pulp and paper) in order to determine the development of carbon emissions in China during the last two decades. The input–output approach is used and the factors driving the changes in CO2 emissions are analyzed by Index Decomposition Analysis–Log Mean Divisia Index (LMDI). The results show that carbon emissions in forest product industries have been declining during the last twenty years and that the driving factor of this change is the energy intensity of production and economic input, which have changed dramatically

Cereal Prices on Consumer Price Index in Mali

Abstract This study examines the relationships between cereal prices and consumer price index (CPI) in Mali. Using monthly series of consumer price indexes from 1993 to 2014, Vector Error-Correction Model (VECM) was estimated in a co-integration analysis. This was in order to investigate the short and long-term dynamics and mechanisms of cereal prices. Results indicated that, a statistically significant long-run equilibrium relationship exists between consumer price index and those of the main variable inputs consumed, such as rice, corn and wheat. It also showed that, there existed a negative long-run relationship between CPI and the variables except for millet-sorghum prices. Furthermore, all the error correction terms were negative and significant. Despite these, there was no short run causality between them except for the millet-sorghum equation. There was short run causality from milletsorghum to those variables such as CPI, rice, corn and wheat prices. The parsimonious VEC model suggests that, the dynamics of cereal prices market systems are linked to the process of changing CPI