2024-11-10-世界银行-国家财富的变化_陆地生态系统植被和土壤碳储量的全球估算——技术报告（英）_84页_3mb

Summary of "The Changing Wealth of Nations"

Core Content

This report presents global estimates of carbon stocks in terrestrial ecosystems' vegetation and soils for the period 2001-2020. It outlines the methodology, data sources, and results of these estimates, emphasizing the importance of carbon regulation services provided by ecosystems, particularly forests, in addressing the global climate crisis. The World Bank, in collaboration with the Basque Centre for Climate Change (BC3), has developed an integrated modeling platform called ARIES to produce these estimates and align them with the System of Environmental-Economic Accounting (SEEA).

Main Points

1. Importance of Ecosystems in Carbon Regulation

• Terrestrial ecosystems are crucial in regulating the global climate by storing carbon, thus preventing its release into the atmosphere.
• Forests, in particular, are key carbon sinks and play a central role in climate mitigation.
• The World Bank's Changing Wealth of Nations (CWON) initiative includes carbon stocks in its wealth estimates to better understand the value of these services.

2. Carbon Stock Estimation

• The terrestrial carbon storage model in ARIES estimates carbon stocks by combining vegetation biomass (aboveground and belowground) and soil organic carbon.
• Vegetation carbon stocks are calculated using IPCC 2006 default factors and ESA-CCI land cover data.
• Soil organic carbon is based on a static dataset from 2020, mapping global soil carbon.

3. ARIES and Interoperability

• ARIES is a multi-disciplinary modeling platform that integrates scientific knowledge to study the interaction between human and natural systems.
• It uses artificial intelligence (AI) and semantic reasoning to combine data and models, ensuring results are aligned with the SEEA framework.
• The platform is designed for global comparability and allows for context-specific adjustments at the national or regional level.

4. Drivers of Change and Interpretation of Results

• Changes in carbon stock estimates are primarily driven by land cover changes and fire occurrences.
• Land cover re-classification can lead to discrepancies between real and modeled ecological data.
• The model provides annual snapshots of carbon stocks and reflects updates in land cover and other dynamic inputs, but should not be interpreted as a proxy for net carbon fluxes or emissions.

5. Monetary Valuation

• Carbon retention is the main ecosystem service priced in monetary terms.
• The valuation process starts with biophysical carbon stock and then converts it into monetary value using an annuity calculation.
• The valuation aims to support climate policy by identifying trends, filling data gaps, and highlighting potential carbon hotspots.

Key Information

2.1 Vegetation Carbon Biomass

• The model focuses on vegetation carbon stocks in aboveground and belowground biomass.
• It uses IPCC 2006 default values for carbon storage and incorporates updated land cover data.
• The model accounts for primary forests and burned land in estimating carbon stocks.

2.1.1 Data Sources

• ESA-CCI land cover data: Provides a complete time series of land cover classes from 1992 to 2020.
• MODIS burned land maps: Annual fire data from 2000 to 2020.
• Intact Forest Landscapes maps: Data from 2000, 2013, 2016, and 2020.
• FAO ecofloristic and continental regions: Used to distinguish regional ecological characteristics.

2.1.2 Interpretation of Results

• The model simplifies complex ecological information to provide a global overview.
• Land cover classification is an artificial construct that can affect the accuracy of results.
• Fire occurrence and land cover re-classification are key variables influencing carbon stock changes.

2.2 Soil Organic Carbon Estimation

• Soil organic carbon is estimated using a static dataset from 2020.
• The dataset maps global soil organic carbon but does not include dynamic variables like fire or land cover changes.

Recommendations for Future Improvements

• The report suggests future enhancements such as incorporating IPCC 2019 guidelines and improving uncertainty assessments.
• ARIES is designed to automatically update with new and reliable data and methodologies.
• There is a call for harmonization of mangrove carbon storage data with ARIES and the SEEA framework.

Summary and Next Steps

• The report provides global maps and statistics of vegetation and soil carbon stocks.
• It highlights the importance of terrestrial ecosystems in climate regulation and the need for global integration of environmental and economic data.
• Future work includes refining the model and improving data quality, with a focus on interoperability and scientific accuracy.

Key Figures and Tables

• Figure 5.1A: Global map of vegetation carbon stock by country (megatonnes).
• Figure 5.1B: Distribution of vegetation carbon stock among the top 10 countries.
• Figure 5.2: Vegetation carbon density map for 2020 (tonnes/hectare).
• Table 2.1: Extract from the ARIES lookup table, showing carbon stock values by land cover class, ecofloristic zone, and continent.

Acronyms

• CWON: Changing Wealth of Nations
• ARIES: Artificial Intelligence for Environment and Sustainability
• SEEA: System of Environmental-Economic Accounting
• IPCC: Intergovernmental Panel on Climate Change
• FAO: Food and Agriculture Organization
• REDD+: Reducing Emissions from Deforestation and forest Degradation

Conclusion

This report provides a comprehensive assessment of global vegetation and soil carbon stocks, highlighting the role of terrestrial ecosystems in climate regulation and the importance of integrating biophysical and economic data. The ARIES platform is a key tool in this effort, enabling global comparability and ongoing improvements based on the latest scientific knowledge. The results are intended to support climate policy and sustainable development by identifying trends and hotspots of carbon flux.