An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services
Abstract
:1. Introduction
2. Methodologies and Calculation
2.1. Construction of Non-Monetary Ecosystem Service Value Accounting Framework
2.2. Methods
2.2.1. Construction of Non-monetary Ecosystem Service Value Accounting Framework
2.2.2. Principles of Ecosystem Service Value Accounting
- (1)
- For direct value, when calculating the increase of NPP and carbon fixation and oxygen release index values, the maximum of the three must be taken; when calculating the increase of soil index values, take the sum of soil organic matter and mineral increase; finally, all the direct value index values are added as the total direct value of ecosystem services.
- (2)
- For indirect service value, due to the different losses of human health and ecological resources caused by different atmospheric, water, soil pollutants, and human and animal excreta, the sum of the losses is taken as the indirect service value of the ecosystem.
- (3)
- For the existence value, take the maximum value of both tourism value and cultural education value, plus the value of existence value indicators such as climate adjustment and water storage capacity as the total existence value.
- (4)
- The total ecosystem service value is equal to the sum of the direct value, indirect value, and existence value of the ecosystem service.
3. Example Application Analysis and Discussion
3.1. Accounting of Farmland Ecosystem Services in Chongqing
3.2. Analysis of Accounting Results and Method Evaluation of Ecosystem Service Value
4. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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First Level Index | Secondary Index | Forest | Wetland | Farmland | Grassland | Desert | Saline Land | Glacier/Permanent Snow | Tundra | Sparse Vegetation | Bare Ground and Lichen | Traffic Site | Live Site | Industrial Land |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Direct value | Increase NPP | ● | ● | ● | ● | ● | ● | ● | ||||||
Provide agricultural products | ● | |||||||||||||
Carbon fixation and oxygen release | ● | ● | ● | ● | ● | ● | ● | ● | ||||||
Increase soil | ● | ● | ● | ● | ● | ● | ||||||||
Groundwater replenishment | ● | ● | ||||||||||||
Water conservation | ● | ● | ● | ● | ● | |||||||||
Provide water | ● | |||||||||||||
Provide water and electricity | ● | |||||||||||||
Indirect value | Purify the atmosphere | ● | ● | ● | ● | |||||||||
Purify water | ● | ● | ● | |||||||||||
Purify the soil | ● | ● | ● | ● | ||||||||||
Reduce soil erosion | ● | ● | ● | ● | ● | ● | ||||||||
Reduce erosion | ● | ● | ||||||||||||
Purify human and animal waste | ● | |||||||||||||
Purify livestock waste | ● | |||||||||||||
Existential value | Regulate the climate | ● | ● | ● | ● | ● | ● | |||||||
Water storage capacity | ● | |||||||||||||
Regulate runoff | ● | |||||||||||||
Travel | ● | ● | ● | ● | ● | ● | ● | |||||||
Cultural education | ● | ● | ● | ● | ● | ● | ● | |||||||
Biodiversity | ● | ● | ● | ● | ● | ● | ● |
Data Type | Data Source | |
---|---|---|
Data on land use type in Chongqing region in 2007–2016 | Chinese Academy of Sciences Resource and Environment Science Data Center | |
Physical and parameter data | Renewable resources: solar radiation, precipitation, annual mean wind speed, average altitude, etc. | Chongqing Statistical Yearbook 2017, Statistical Communiqué on Chongqing’s National Economic and Social Development |
NPP data of farmland ecosystem | [18] | |
Proportion of farmland ecosystem litter to farmland ecosystem biomass | [19] | |
Mineral content | [20] | |
Rainfall infiltration coefficient | [21] | |
Absorptive capacity of forest Ecosystems to air pollutants | [22] | |
Disability-adjusted life years and potentially disappeared fraction of species | [20] | |
Potential erosion coefficient and actual erosion coefficient | [23] | |
Vaporization | [24] | |
Tourism income of forest ecosystem | Chongqing Statistical Yearbook 2007–2016 | |
Unit emergy value (UEV) | Table |
Item | Raw Data | UEV (Sej·Unit−1) | Total Emergy (Sej·a−1) | Reference | |
---|---|---|---|---|---|
Renewable resources | Sunlight | 0.71 × 1019 J | 1 | 0.71 × 1019 | [25] |
Geothermal energy | 4.68 × 1014 J | 4.90 × 103 | 2.29 × 1018 | [25] | |
Wind energy | 6.59 × 1015 J | 7.90 × 102 | 5.21 × 1018 | [25] | |
Rain chemical potential | 8.35 × 1012 J | 1.54 × 104 | 1.29 × 1016 | [25] | |
Runoff potential energy | 1.92 × 1016 J | 1.28 × 104 | 2.46 × 1020 | [25] | |
Runoff chemical potential energy | 5.98 × 1012 J | 2.13 × 104 | 1.27 × 1017 | [25] | |
Direct value | NPP increase | Updateable resource calculation results in this table | Updateable resource calculation results in this table | 2.61 × 1020 | this research |
Agricultural products | Statistical Yearbook | Reference [25] | 2.97 × 1020 | this research | |
Carbon sequestration | 1.06 × 1012 | 2.57 × 108 | 1.19 × 1020 | this research | |
Increase soil | Table 2 and Table 3, Equation (4) | Table 2 and Table 3, Equation (4) | 5.94 × 1019 | this research | |
Water conservation | 4.39 × 1014 | 2.23 × 105 | 9.79 × 1019 | [25] | |
Indirect value | Purify the atmosphere | Table 4 and Table 5, Equations (7) and (8) | Table 4 and Table 5, Equations (7) and (8) | 1.07 × 1021 | this research |
Purify water and soil | Table 4 and Table 5, Equations (7) and (8) | Table 4 and Table 5, Equations (7) and (8) | 6.63 × 1020 | this research | |
Existing value | Regulate the climate | Table 4 and Table 5, Equations (9) and (10) | Table 4 and Table 5, Equations (9) and (10) | 1.72 × 1022 | [16] |
Tourism value | Table 6 and Equation (12) calculation | Table 6 and Equation (12) calculation | 2.11 × 1022 | this research | |
Cultural education and entertainment value | Investment in fixed assets and calculation in Table 6 and Equation (13) | Investment in fixed assets and calculation in Table 6 and Equation (13) | 1.63 × 1022 | this research | |
Biodiversity | Table 2, Table 3 and Table 4 and Equation (11) | Table 2, Table 3 and Table 4 and Equation (11) | 1.33 × 1020 | this research |
Forest Type | Biomass (Mg·hm−2·a−1) | Farmland Litter (Mg·hm−2·a−1) | K1 (%) | K2 (%) | Precipitation Infiltration Recharge Coefficient (k) |
---|---|---|---|---|---|
Food crops | 5.59 ± 1.86 | 1.42 | 45.3 | 50 | 0.136 |
Small woodland | 10.27 ± 1.94 | 2.88 | 59.4 | 50 | 0.141 |
Shrub and grass | 3.99 ± 3.56 | 1.09 | 65.1 | 50 | 0.138 |
Pollution Type | Damage to Human Health | Disability Adjusted Life Years | Ecological Damage Category | Potentially Disappeared Fraction of Species (%·m−2·a−1) | |
---|---|---|---|---|---|
Air pollutant | SO2 | Respiratory diseases | 5.46 × 10−5 | Acidification and eutrophication | 1.04 |
XF | Climate change | 7.48 × 10−4 | |||
NOx | Respiratory diseases | 8.87 × 10−5 | Acidification and eutrophication | 5.71 | |
CO | Respiratory effects | 7.31 × 10−7 | |||
O3 | Ozone layer depletion | 1.53 × 10−3 | |||
PM10 | Respiratory diseases | 3.75 × 10−4 | |||
PM2.5 | Respiratory diseases | 7.00 × 10−4 | |||
Soil pollutant | Zn | - | Ecotoxicological effects | 2.27 × 103 | |
Cu | - | Ecotoxicological effects | 1.08 × 103 | ||
Pb | - | Ecotoxicological effects | 8.83 | ||
Cr | Carcinogenic substance | 2.71 × 10−1 | Ecotoxicological effects | 2.87 × 103 | |
Ni | Carcinogenic substance | 3.94 × 10−3 | Ecotoxicological effects | 5.27 × 103 | |
Hg | - | Ecotoxicological effects | 1.15 × 103 | ||
As | - | Ecotoxicological effects | 4.28 × 102 |
Country | Energy Monetary Ratio (Sej·Yuan−1) |
---|---|
China | 3.11 × 1012 |
Japan | 9.87 × 1011 |
South Korea | 1.94 × 1012 |
United States | 1.66 × 1012 |
United Kingdom | 2.25 × 1012 |
France | 2.42 × 1012 |
Germany | 4.32 × 1012 |
Russia | 4.86 × 1012 |
Year | 2007 | 2008 | 2009 | 2010 | 2011 |
Literature results (1010 yuan) | 9.7 | 9.5 | 10.5 | 10.3 | 9.95 |
Results of this article (1010 yuan) | 19.58 | 21.35 | 22.07 | 22.83 | 23.57 |
Year | 2012 | 2013 | 2014 | 2015 | 2016 |
Literature results (1010 yuan) | 10.8 | 10.9 | 11.7 | 11.9 | 11.95 |
Results of this article (1010 yuan) | 24.38 | 24.97 | 26.48 | 26.95 | 27.28 |
Type of Ecological Services Value | Value (1010 Yuan) | Change from 2007 to 2016 | |||
---|---|---|---|---|---|
2007 | 2016 | Quantity (1010 Yuan) | Rate (%) | ||
Direct value | Increase NPP | 3.09 | 4.26 | 1.17 | 37.86 |
Carbon fixation and oxygen release | 2.11 | 3.48 | 1.37 | 64.92 | |
Increase soil | 0.45 | 0.86 | 0.41 | 91.11 | |
Agricultural products | 3.27 | 4.85 | 1.58 | 48.32 | |
Water conservation | 0.48 | 0.89 | 0.41 | 85.42 | |
Indirect value | Purify the atmosphere | 0.74 | 1.28 | 0.54 | 72.97 |
Purify water and soil | 1.54 | 1.68 | 0.14 | 9.09 | |
Existential value | Regulate the climate | 3.52 | 4.74 | 1.22 | 34.66 |
Tourism value | 2.93 | 3.27 | 1.34 | 45.73 | |
Biodiversity | 0.45 | 0. 87 | 0.42 | 93.33 | |
Cultural education and entertainment | 1.15 | 1.37 | 0.22 | 19.13 | |
Total | 19.58 | 27.28 | 7.7 | 39.32% |
Area | 2007 | 2012 | 2016 | Total Change Rate (%) | Per Capita Change Rate (%) | |||
---|---|---|---|---|---|---|---|---|
Total Amount (1010 Yuan) | Per Capita (Yuan) | Total Amount (1010 Yuan) | Per Capita (Yuan) | Total Amount (1010 Yuan) | Per Capita (Yuan) | |||
Main city area | 0.936 | 332.39 | 1.17 | 397.28 | 1.30 | 426.51 | 38.89 | 28.32 |
Western Chongqing | 8.28 | 2940.34 | 10.31 | 3500.85 | 11.54 | 3786.09 | 39.37 | 28.76 |
Northeastern Chongqing | 7.35 | 2610.09 | 9.14 | 3103.57 | 10.23 | 3356.30 | 39.18 | 28.59 |
Southeastern Chongqing | 3.01 | 1068.89 | 3.75 | 1273.34 | 4.19 | 1374.67 | 39.2 | 28.61 |
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Liu, Y.; Yan, Y.; Li, X. An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services. Sustainability 2020, 12, 8296. https://doi.org/10.3390/su12208296
Liu Y, Yan Y, Li X. An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services. Sustainability. 2020; 12(20):8296. https://doi.org/10.3390/su12208296
Chicago/Turabian StyleLiu, Yubang, Yunan Yan, and Xin Li. 2020. "An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services" Sustainability 12, no. 20: 8296. https://doi.org/10.3390/su12208296
APA StyleLiu, Y., Yan, Y., & Li, X. (2020). An Empirical Analysis of an Integrated Accounting Method to Assess the Non-Monetary and Monetary Value of Ecosystem Services. Sustainability, 12(20), 8296. https://doi.org/10.3390/su12208296