MOESM11 of Comparative transcriptome and metabolome analysis suggests bottlenecks that limit seed and oil yields in transgenic Camelina sativa expressing diacylglycerol acyltransferase 1 and glycerol-3-phosphate dehydrogenase

Additional file 11: Table S17. Metabolite contents in Camelina genotypes during seed development

MOESM6 of Comparative transcriptome and metabolome analysis suggests bottlenecks that limit seed and oil yields in transgenic Camelina sativa expressing diacylglycerol acyltransferase 1 and glycerol-3-phosphate dehydrogenase

Additional file 6: Table S6. GO classification and KEGG metabolic pathways for the DEGs down-regulated in DGAT1 lines at 16–21 DAF

MOESM12 of Comparative transcriptome and metabolome analysis suggests bottlenecks that limit seed and oil yields in transgenic Camelina sativa expressing diacylglycerol acyltransferase 1 and glycerol-3-phosphate dehydrogenase

Additional file 12: Table S18. Relative metabolite content during seed development in Camelina genotype relative to WT as a control

MOESM2 of Transcriptome profiling of Camelina sativa to identify genes involved in triacylglycerol biosynthesis and accumulation in the developing seeds

Additional file 2: Table S2. List of Camelina genes with the highest RPKM values

MOESM7 of Transcriptome profiling of Camelina sativa to identify genes involved in triacylglycerol biosynthesis and accumulation in the developing seeds

Additional file 7: Table S7. GO information for the DEGs differentially regulated in Cs-21

What are the social impacts of land use restrictions on local communities? Empirical evidence from Costa Rica

Global efforts to reduce deforestation rely heavily on protected areas and land use restrictions. The effect of these restrictions on local communities is currently the subject of heated debate among conservation and development experts. Measuring the social impacts of protected areas is difficult because the effects cannot be isolated from other factors, given the nonrandom placement of protection. We address this problem by applying a quasi-experimental approach to establish the counterfactual (“what would have been the socioeconomic outcome if a protected area had not been established?”). We use matching methods to measure the impacts of pre-1980 protected areas in Costa Rica on socioeconomic outcomes in 2000. In 2000, neighboring communities near protected areas were substantially poorer than average. However, after controlling for pre-protection characteristics associated with both protection and economic growth, the results indicate that poverty declined as a result of protection. Although the statistical significance of this decline is moderately sensitive to potential hidden bias, the results emphatically do not support a hypothesis that ecosystem protection, on average, exacerbates poverty. In contrast, conventional empirical methods implied erroneously that protection had negative social impacts, suggesting that failure to control for confounding factors or baselines can lead to substantially inaccurate estimates