Comprehensive Monitoring and Benefit Evaluation of Converting Farmlands into Forests and Grasslands in China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Methods
2.2. Data Source
- (1)
- Ecological benefit data sources and statistical analysis
- (2)
- Social and economic benefits data sources and statistical analysis
3. Results
3.1. Monitoring and Evaluation Indicator System for the CFFG Project
3.1.1. Ecological Benefit Monitoring and Evaluation Index System
3.1.2. Economic Benefit Monitoring and the Evaluation Index System
3.1.3. Social Benefit Monitoring and Evaluation Index System
3.2. Monitoring and Benefit Evaluation Methods of the CFFG Project
3.2.1. Ecological Benefit Monitoring and Evaluation Methods
3.2.2. Economic Benefit Monitoring and Evaluation Methods
3.2.3. Social Benefit Monitoring and Evaluation Methods
3.3. Comprehensive Benefits of the CFFG Project
3.3.1. Results of Ecological Benefits
3.3.2. Results of Economic Benefits
3.3.3. Results of Social Benefits
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Service Categories | Function Categories | Indicator Categories | Calculation Formula and Parameter Description |
---|---|---|---|
Supportive services | Soil conservation | Soil fixation | where Usf is the annual soil fixation value of the assessed stand (Yuan·y−1); Cs is the cost required to dig and transport a unit volume of soil (Yuan·m−3); Gsf is the annual soil fixation amount (tons·y−1); and ρ is soil bulk density (g·cm−3) |
Reducing nitrogen loss | where Uof is the annual reducing nutrient loss value of the assessed stand (Yuan·y−1); GN, GP, GK and Gof are the reduction in nitrogen, phosphorus potassium and soil organic matter loss (tons·y−1) respectively, due to soil fixation by the assessed stand; C1, C2 and C3 are the fertilizer price of diammonium phosphate, potassium chloride and organic matter (Yuan·ton−1) respectively; R1, R2 and R3 are the nitrogen content of diammonium phosphate fertilizer (%), phosphorus content of diammonium phosphate fertilizer (%) and potassium content of potassium chloride fertilizer (%), respectively. | ||
Reducing phosphorus loss | |||
Reducing potassium loss | |||
Reducing organic matter loss | |||
Nutrient fixation | Nitrogen retention | where UN is the value of nitrogen retention in the assessment year (Yuan·y−1); GN is the annual nitrogen retention in the assessment stand (tons·y−1); C1 is the price of diammonium phosphate fertilizer (Yuan·ton−1); R1 is the nitrogen content of diammonium phosphate fertilizer (%); | |
Phosphorus retention | where UP is the value of phosphorus retention in the assessment year (Yuan·y−1); GP is the amount of phosphorus retention in the assessment forest year (tons·y−1); C1 is the price of diammonium phosphate fertilizer (Yuan·ton−1); R2 is the phosphorus content of diammonium phosphate fertilizer (%). | ||
Potassium retention | where UK is the value of potassium retention in the assessment year (Yuan·y−1); GK is the amount of potassium retention in the assessment year (tons·y−1); C2 is the price of potassium chloride fertilizer (Yuan·ton−1); and R3 is the potassium content of potassium chloride fertilizer (%); | ||
Regulative services | Water Conservation | Regulation of water volume | where UA is the value of the annual regulation of water volume in the assessed forest (Yuan·y−1); GA is the annual regulation of water volume (m3·y−1); CV is the reservoir capacity construction cost (Yuan·m−3) |
Water purification | where UPU is the annual value of water purified by the assessed forest (Yuan·y−1); GPU is the annual volume of water regulation in the assessed forest stand (m3·y−1); KW is the cost of water purification (Yuan·m−3) | ||
Carbon sequestration and Oxygen release | Carbon sequestration | where UC is the annual value of carbon sequestration in the assessed stand (Yuan·y−1); GC is the potential annual carbon sequestration of the assessed stand ecosystem (tons·y−1); and CC is the price of carbon sequestration (Yuan·ton−1) | |
Oxygen release | where UO is the value of annual oxygen release from the assessed stand (Yuan·y−1); GO is the annual oxygen release from the assessed stand (tons·y−1); and CO is the price of manufacturing oxygen (Yuan·ton−1). | ||
Purifying the atmosphere | Providing negative ions | where UNI is the annual value of negative ions provided by the assessed stand (Yuan·y−1); KNI is the cost of negative ion production (Yuan·each−1); QNI is the concentration of negative ions in the assessed stand (pcs·cm−3); L is the life span of negative ions (min); H is the stand height (m); A is the stand area (ha); F is the forest ecological function correction factor | |
Sulfur dioxide absorption | where USD is the annual value of SO2 absorbed by the assessed forest stand (Yuan·y−1); GSD is the annual amount of SO2 absorbed by the assessed forest stand (kg·y−1); KSD is the treatment cost of SO2 (Yuan·kg−1) | ||
Fluoride absorption | where UF net is the annual water purification value of the assessed forest Yuan·y−1); GF is the annual fluoride uptake of the assessed forest stand (kg·y−1); KF is the treatment cost of fluoride (Yuan·kg−1) | ||
Nitrogen oxide absorption | where UNO is the annual value of water purified by the assessed forest (Yuan·y−1); GNO is the annual amount of NOx absorbed by the assessed forest stand (kg·y−1); KNO is the treatment cost of NOx (Yuan·kg−1) | ||
Reducing total suspended particulates (TSP) | where UL is the assessed stand annual potential reducing dust value (Yuan·y−1); GTSP is the assessed stand annual reduced TSP volume (Yuan·kg−1); GPM10 is the assessed stand annual reduced PM10 volume (Yuan·kg−1); GPM2.5 is the assessed stand annual reduced PM2.5 volume (Yuan·kg−1); UPM10 is the assessed stand annual reduced PM10 value (Yuan·y−1). UPM2.5 is the value of annual reduced PM2.5 in the assessed forest stand (Yuan·y−1); KTSP is the cost of dust reduction and cleanup (Yuan·y−1) | ||
Reducing PM10 | where CPM10 is the cost of PM10 cleanup (Yuan·kg−1) | ||
Reducing PM2.5 | where CPM2.5 is the cost of PM2.5 cleanup (Yuan·kg−1) | ||
Forest Protection | Wind and sand prevention | where UPW is the value of wind and sand control in the assessed stands (Yuan·y−1); KPW is the cost of sand fixation by straw-checkerboard (Yuan·ton−1); and GPW is the mass of sand fixation in the assessed forests (tons·y−1). | |
Farmlands protection | where UFP is the value of the farmlands protection function of the assessed stand (Yuan·y−1); Va is the price of crops and pasture (Yuan·kg−1); Ma is the average increase in crop and pasture production (kg·ha−1·y−1); Ka is the conversion coefficient that average 1 ha of farmlands shelterbelt can protect 19 ha of farmlands; AF is the area of farmlands shelterbelt (ha) | ||
Provisional services | Biodiversity | Species conservation | where UToatl is the annual value of biodiversity conservation in the assessed stand (Yuan·y−1); Em is the endangerment index of species m in the assessed stand or region; Bn is the endemic species index of species n in the assessed stand or region; Or is the old tree age index of species r in the assessed stand or region; x is the number of species for calculating the endangerment index; y is the number of species for calculating the endemic species index; z is the number of species for calculating the old tree age index; Sl is the amount of species diversity conservation value per unit area (Yuan·ha−1·y−1); A is the area of the stand (ha) |
Indicators | Calculation Formula and Parameter Description | |
---|---|---|
Primary Industries | Economic Forest Products | =Σ(the amount of harvesting fruits × price + amount of harvesting nuts and oilseeds × price + amount of harvesting tea and beverages ×price + amount of harvesting medicinal herbs × price) |
Timber and bamboo harvesting | =Σ(Wood harvesting volume × price + bamboo harvesting volume × price) | |
Forest Plantation | =Σ(Production of forest mushrooms × price + production of food under forests × price + production of forest vegetables × price + production of forest tree seedlings × price + production of forest medicinal herbs × price) | |
Forestry farming | =Σ(chicken raising under forests × price + forest duck raising under forests × price + goose raising under forests × unit price) + Σ(forest pig production × price + forest cattle production × price + forest sheep production × price) + Σ(forest bee and honey production × price) | |
Secondary Industries | Wood processing | =Σ(volume of wood processing × price) × contribution factor of fallow to wood processing |
Forestry chemical products manufacturing | =Σ(Volume of forest chemical product manufacturing × price) × contribution factor of fallowing to forest chemical product manufacturing | |
Woody oilseeds, fruits and vegetables, tea beverages and others processing and manufacturing | =Σ(amount of oilseed processing and manufacturing × price) × contribution coefficient of fallow to woody oilseed processing and manufacturing + Σ(amount of fruits and vegetables processing and manufacturing × price) × contribution coefficient of fallow to fruits and vegetables processing and manufacturing + Σ(amount of tea and beverage processing and manufacturing ×price) × contribution coefficient of fallow to tea and beverage processing and manufacturing | |
Forest medicines | =Σ(sum of herb medicines processed and manufactured × price) × contribution factor of fallow to herb medicines processing | |
Third industries | Forestry production services | =ΣBusiness income of forestry production service agencies × contribution factor of fallow to forestry production service agencies |
Forestry professional technical Services | =Σbusiness income of professional forestry technical service agencies × contribution coefficient of fallow to professional forestry technical service agencies | |
Ecotourism and forestry recreation services | =Σbusiness income of ecotourism base × contribution coefficient of fallow to ecotourism + Σbusiness income of forest recreation base × contribution coefficient of fallow to forest recreation |
Indicators | Calculation Formula and Parameter Description | ||
---|---|---|---|
Development of Social Business | Labor Employment | Employment in grain for grain project | =Σ(Average wage income of fallow farmers × number of people directly employed) × increase coefficient of employment in fallow farmers + Σnumber of people employed near the fallow farmlands × per capita transportation, accommodation and maintenance costs for working outside |
Transferring of labor from farming | =Σ(Number of laborers transferred × coefficient of contribution of fallow to labor transferring × average working wage level) | ||
Labor quality Enhancement | Employee Training | =Σ(Cumulative cost of farming skills training + Cumulative cost of listening to farming policy advocacy + Cumulative cost of farming employment training) | |
Cultural Education | Ecological education base | =ΣNumber of people received employment education in display and education bases for fallowed farmers × cultural and educational input per capital | |
Eco-cultural productions | =Σ(Number of cultural works displayed × pricing + number of cultural works performed × ticket price + number of cultural works published × price) | ||
Tourism Career | Ecotourism | =ΣEcotourism output value × contribution coefficient of fallow to ecotourism × forest tourism industry driving coefficient | |
Optimize the social structure | Optimizing urban and rural structure | Village greening and beautification contribution | =ΣNumber of people benefited by greening health × 0.3 × per capital medical cost |
Project investment contribution | =ΣTotal investment in CFFG project in × investment multiplier of the project | ||
Optimizing consumption structure | Special economic forest products consumption | =ΣNumber of people consuming special economic forest products × 0.13 × per capital medical expenses | |
Optimizing revenue structure | Income from CFFG project | =ΣForestry income of households on fallowed farmlands | |
Improving social service functions | Poverty alleviation through fallow | Covering the poor | =ΣFallowed area of poor households× fallowed subsidy standard × fallowed project investment multiplication factor = Σ(fallowed area × average percentage of fallowed area of poor households) ×fallowed subsidy standard × fallowed project investment multiplication factor |
income from forest rangers | =Σ(ratio of the number of forest rangers in each province to the total area of fallow farmlands and forest land in each province) × financial subsidy standard for forest rangers | ||
Promoting the development of social organizations | New Forestry Management entities | The size of the new forestry entity of the fallow project | =ΣNew forestry management entities in each province fallowed forestry output value × new forestry management entity driving coefficient |
Households benefited by fallowed new forestry business entities leading | =Σ(value of social stability + value of technical promotion) = Σnumber of fallowed households benefited by new forestry business entities × per capita cost of maintaining stability + Σarea of fallowed households benefited by new forestry business entities× average cost of forestry technology promotion |
Categories | Components | Value Volume (Million Yuan·y−1) | Percentage (%) |
---|---|---|---|
Supporting services | Soil conservation | 129,851 | 9.16 |
Accumulation of nutrients by forests | 18,617 | 1.31 | |
Regulating services | Water conservation | 463,022 | 32.68 |
Oxygen release and carbon sequestration | 223,017 | 15.74 | |
Atmospheric purification | 310,175 | 21.89 | |
Forest protection | 65,435 | 4.62 | |
Provisioning services | Biodiversity conservation | 206,747 | 14.59 |
Total | 1,416,864 | 100 |
Projects | Sub-Items | Value Volume (Million Yuan·y−1) | Percentage (%) |
---|---|---|---|
Primary Industry | Subtotal | 148,305 | 58.05 |
Value of economic forest products | 84,223 | ||
Value of timber and bamboo harvesting | 18,707 | ||
Value of forest plantation | 36,630 | ||
Value of forest farming | 8745 | ||
Secondary Industry | Subtotal | 65,453 | 25.62 |
Value of timber processing | 34,992 | ||
Value of forest chemical product manufacturing | 6374 | ||
Woody oil seeds, fruits and vegetables, tea beverages, etc. processing and manufacturing value | 20,363 | ||
Processing value of forest medicinal herbs | 3724 | ||
Tertiary Industry | Subtotal | 41,728 | 16.33 |
Forestry production service value | 11,158 | ||
Forestry professional and technical service value | 2986 | ||
Eco-tourism and forest recreation service value | 27,584 | ||
Total | 255,486 | 100 |
Projects | Sub-Items | Value Volume (Million Yuan·y−1) | Percentage (%) |
---|---|---|---|
Development of social undertakings | Subtotal | 447,420 | 61.06 |
Value of employment absorbed by farming retreat | 142,868 | ||
Value of labor transfer from farming | 192,060 | ||
Training value of farming fallow | 886 | ||
Value of ecological education bases | 12,236 | ||
Value of ecological cultural works | 415 | ||
Ecological tourism value | 98,955 | ||
Optimization of social structure | Subtotal | 247,959 | 33.84 |
Village greening and beautification contribution value | 99,079 | ||
Contribution value of fallow investment | 28,227 | ||
Value of consumption of special economic forest products | 15,397 | ||
Value of income from conversion of farmlands to forest | 105,256 | ||
Improving social services | Subtotal | 6226 | 0.85 |
Value of covering the poor population | 5635 | ||
income from forest rangers | 591 | ||
Promoting the development of social organizations | Subtotal | 31,091 | 4.24 |
Scale value of new type of forestry management entities | 29,633 | ||
Value of households benefited by fallowed new forestry business entities | 1458 | ||
Total | 732,696 | 100 |
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Li, S.; Wang, B.; Zhang, S.; Chen, Y.; Zhao, G. Comprehensive Monitoring and Benefit Evaluation of Converting Farmlands into Forests and Grasslands in China. Int. J. Environ. Res. Public Health 2022, 19, 6942. https://doi.org/10.3390/ijerph19116942
Li S, Wang B, Zhang S, Chen Y, Zhao G. Comprehensive Monitoring and Benefit Evaluation of Converting Farmlands into Forests and Grasslands in China. International Journal of Environmental Research and Public Health. 2022; 19(11):6942. https://doi.org/10.3390/ijerph19116942
Chicago/Turabian StyleLi, Shidong, Bing Wang, Sheng Zhang, Yingfa Chen, and Guangshuai Zhao. 2022. "Comprehensive Monitoring and Benefit Evaluation of Converting Farmlands into Forests and Grasslands in China" International Journal of Environmental Research and Public Health 19, no. 11: 6942. https://doi.org/10.3390/ijerph19116942
APA StyleLi, S., Wang, B., Zhang, S., Chen, Y., & Zhao, G. (2022). Comprehensive Monitoring and Benefit Evaluation of Converting Farmlands into Forests and Grasslands in China. International Journal of Environmental Research and Public Health, 19(11), 6942. https://doi.org/10.3390/ijerph19116942