Spatial and Temporal Patterns in Carbon and Nitrogen Inputs by Net Precipitation in Atlantic Forest, Brazil

Understanding both carbon and nitrogen temporal and spatial inputs by rainfall in tropical forests is critical for proper forest conservation and management and might ultimately elucidate how climate change might affect nutrient dynamics in forest ecosystems. This study aimed to quantify the net precipitation contribution to the Atlantic Forest’s total carbon (C) and total nitrogen (N), identifying potential differences between these inputs regarding temporal (seasonal and monthly) and spatial scales. Rainfall samples were collected before and after interacting with the forest canopy from May 2018 to April 2019. The rainfall was enriched after crossing the forest canopy. Significant differences were found for gross rainfall and net precipitation between annual carbon (104.13 kg ha−1 and 193.18 kg ha−1) and nitrogen (16.81 kg ha−1 and 36.95 kg ha−1) inputs, respectively. Moreover, there was seasonal variability in the C and N inputs with 75% occurring in the wet season. Overall, the spatial patterns revealed that the same locations had the highest inputs regardless of the analyzed period. The forest-rainfall interactions provide constant C and N inputs, especially in the wet season, and are fundamental for the maintenance of ecological processes. Study Implications The hydrological and nutrient cycles are tied together. There was significant nutrient enrichment after rainfall interacts with the forest canopy. Rainfall seasonality and canopy deciduousness and heterogeneity drive the temporal and spatial variabilities of carbon and nitrogen. The wet season represented an average of 75% of the total annual carbon and nitrogen contribution, via net precipitation. Such findings enhance our understanding of nutrient deposition, leaching, and absorption processes by canopies and the importance of the tropical forest in the hydrological and nutrient cycle. This knowledge might serve as a guide to improve management practices and justify conservation initiatives.

Regression models of carbon and CO2 sequestration of hybrid poplar stands in the Northern Serbian region

This research is based on creating regression models as follows: 1. Total carbon sequestration, 2. Total carbon dioxide (CO₂) sequestration and carbon credit (CO₂e) generation, 3. Annual carbon sequestration and 4. Annual CO₂ sequestration and annual carbon credit generation (CO₂e). The research was carried out in plantations of the species Populus x euramericana (Dode) Guinier clone I-214. In addition to the field research, a modeling framework for quantifying carbon sequestration in forest ecosystems CO₂FIX var 3.1 was used to calculate stored carbon. Analysis of collected samples of branches and leaves was performed using CHN Vario EL III analyzer. The results of the research indicated that the total sequestration of carbon (C) for a thirty-year production cycle was 78.58 tC ha^-1, while the average value for all years of a thirty-year production cycle was 44.02 tC ha^-1. The average annual sequestration of carbon for all years of a thirty-year production cycle was 2.62 tC ha^-1yr^-1, while the average annual sequestration of carbon dioxide, or average annual changes in CO₂ stocks for all years of a thirty-year production cycle was 9.60 tCO₂ ha^-1yr^-1.

Motion and Sash Height (MASH) alarms for efficient fume hood use

Ventilation, including fume hoods, consumes 40–70% of the total energy used by modern laboratories. Energy-conscious fume hood usage—for example, closing the sash when a hood is unused—can significantly reduce energy expenditures due to ventilation. Prior approaches to promote such behaviors among lab users have primarily relied on passive feedback methods. In this work, we developed a low-cost fume hood monitoring device with active feedback to alert lab users when a fume hood is left open and unused. Using data collected by the building management system, we observed a 75.6% decrease in the average sash height after installation of these “Motion and Sash Height” (MASH) alarms, which would result in a reduction roughly equal to 43% of the annual carbon emissions of a typical American vehicle, for each fume hood. The MASH alarm presented here reduced energy costs by approximately $1,159 per year, per hood, at MIT.

Research on Carbon Emissions of Electric Vehicles by Constructing Mathematical Model Based on Big Data

After the “3060” carbon peak and neutrality strategic goal was put forward, various industries actively responded to find new ways for energy conservation and emission reduction. In the field of automobile manufacturing, the transition from traditional fuel vehicles to electric vehicles is an inevitable trend. This paper builds a mathematical model that uses the three major indicators of carbon emissions per 100 kilometers, energy-saving emission reduction coefficients, and annual carbon emissions as parameters to measure carbon emissions benefits, and combines survey data to conduct empirical analysis to explore the advantages of electric vehicles in energy saving and emission reduction compared with traditional fuel vehicles under different power supply structures. At the same time, based on the existing data and conclusions, the research is extended to the analysis of carbon emissions prospects in decades, and the possible contribution of future electric vehicles in energy utilization and environmental protection is predicted, to explore its role in promoting the achievement of the double-carbon goal, and put forward corresponding recommendations based on the research results.

A prominent role for precision composting in sustainable agriculture

Compost use in agriculture has the potential to increase the productivity and sustainability of food systems and to mitigate climate change. But the use of diverse compost types in unsuitable biophysical conditions cause uncertain outcomes for crop yields, soil organic carbon (SOC) and nitrous oxide (N2O) emissions. Here, we performed a global meta-analysis with over 2000 observations to determine whether a Precision Composting Strategy (PCS) that aligns suitable composts and application methods with target crop and environment can advance sustainable food production. Eleven key predictors of compost (carbon-to-nutrient ratios, pH, salt content), management (nitrogen supply) and biophysical settings (crop type, soil texture, SOC, pH, temperature, rainfall) determined 80% of the effect on crop yield, SOC, and N2O emissions. We estimate that a PCS could increase global cereal production by 354.5 Tg annually, approximately 1.7-times Africa’s current cereal yield. We further estimate that annual Carbon sequestration could increase by 170.4 Tg Carbon, approximately 20% of the global potential of croplands. This points to a central role of PCS in current and emerging agriculture consistent with the United Nations’ Sustainable Development Goals.

Innovative Strategy to Reduce Single-Use Plastics in Sustainable Horticulture by a Refund Strategy for Flowerpots

(1) Background: Black plastics pose a general problem in sustainability issues, as the recycling is hampered by the black colour disguising the type of plastics in the NIR scanner on the garbage sorting belt, as the black colour absorbs NIR radiation. Sorting flower/plant pots suffer from their additional soil contamination in the strive for sustainable flower production in horticulture. As these black plastic flowerpots are currently rarely recycled, a study was instigated of reusing them based on Heino Schwarz’s innovative idea. (2) Methods: In the first step, the carbon footprint was calculated for the flowerpots of two sizes employed in the nursery, their customised production from virgin polypropylene and the delivery from the Netherlands to the nursery in Bavaria. In step 2, the carbon footprint was calculated based on PAS 2050-1 for the number of flowerpots in circulation and return rates in 2019 and in 2020 to assess the GHG saved by the innovation. (3) Results: The innovative concept of Heino Schwarz is a discount on returning the customised used flowerpots, with a 40% increase from 24,533 returned flowerpots in 2019 to 39,797 in 2020. This shows the increasing acceptance and environmental awareness of the consumer and the great success. (4) Conclusions and outlook: The present case study has shown that innovative approaches such as discounts for reused/returned flowerpots of the Schwarz nursery can save 3.85–4.56 t CO2eq, a valuable contribution to reducing GHG emissions, creating environmental awareness among the consumers and building a close B2C relationship. The amount of CO2eq saved is equivalent to ca. 40% of the annual carbon burden of a European/German citizen or ca. 23,000 km driven in a private vehicle, the average mileage driven privately in two years.

Carbon dioxide fluxes and carbon balance of an agricultural grassland in southern Finland

A significant proportion of the global carbon emissions to the atmosphere originate from agriculture. Therefore, continuous long-term monitoring of CO2 fluxes is essential to understand the carbon dynamics and balances of different agricultural sites. Here we present results from a new eddy covariance flux measurement site located in southern Finland. We measured CO2 and H2O fluxes at this agricultural grassland site for 2 years, from May 2018 to May 2020. In particular the first summer experienced prolonged dry periods, which affected the CO2 fluxes, and substantially larger fluxes were observed in the second summer. During the dry summer, leaf area index (LAI) was notably lower than in the second summer. Water use efficiency increased with LAI in a similar manner in both years, but photosynthetic capacity per leaf area was lower during the dry summer. The annual carbon balance was calculated based on the CO2 fluxes and management measures, which included input of carbon as organic fertilizers and output as yield. The carbon balance of the field was −57 ± 10 and −86 ± 12 g C m−2 yr−1 in the first and second study years, respectively.

Non-growing season carbon emissions in a northern peatland are projected to increase under global warming

Peatlands are important ecosystems that store approximately one third of terrestrial organic carbon. Non-growing season carbon fluxes significantly contribute to annual carbon budgets in peatlands, yet their response to climate change is poorly understood. Here, we investigate the governing environmental variables of non-growing season carbon emissions in a northern peatland. We develop a support-vector regression model using a continuous 13-year dataset of eddy covariance flux measurements from the Mer Blue Bog, Canada. We determine that only seven variables were needed to reproduce carbon fluxes, which were most sensitive to net radiation above the canopy, soil temperature, wind speed and soil moisture. We find that changes in soil temperature and photosynthesis drove changes in net carbon flux. Assessing net ecosystem carbon exchange under three representative concentration pathways, we project a 103% increase in peatland carbon loss by 2100 under a high emissions scenario. We suggest that peatland carbon losses constitute a strong positive climate feedback loop.

Current Trend of Carbon Emissions from Wildfires in Siberia

Smoke from wildfires in Siberia often affects air quality over vast territories of the Northern hemisphere during the summer. Increasing fire emissions also affect regional and global carbon balance. To estimate annual carbon emissions from wildfires in Siberia from 2002–2020, we categorized levels of fire intensity for individual active fire pixels based on fire radiative power data from the standard MODIS product (MOD14/MYD14). For the last two decades, estimated annual direct carbon emissions from wildfires varied greatly, ranging from 20–220 Tg C per year. Sporadic maxima were observed in 2003 (>150 Tg C/year), in 2012 (>220 Tg C/year), in 2019 (~180 Tg C/year). However, the 2020 fire season was extraordinary in terms of fire emissions (~350 Tg C/year). The estimated average annual level of fire emissions was 80 ± 20 Tg C/year when extreme years were excluded from the analysis. For the next decade the average level of fire emissions might increase to 250 ± 30 Tg C/year for extreme fire seasons, and to 110 ± 20 Tg C/year for moderate fire seasons. However, under the extreme IPCC RPC 8.5 scenario for Siberia, wildfire emissions might increase to 1200–1500 Tg C/year by 2050 if there were no significant changes in patterns of vegetation distribution and fuel loadings.