GB/T 42961-2023 in English
VALIDAssessment method for climate change impact on vegetation ecological quality
- Issued on:2023-08-06
- Implemented on:2023-12-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$214.00
《GB/T 42961-2023植被生态质量的气候变化影响评价方法》由TC539（全国农业气象标准化技术委员会）归口，主管部门为中国气象局。
Introduction
1. Background and significance of standard formulation
With the intensification of global climate change, vegetation ecosystems are facing unprecedented challenges. GB/T 42961-2023 "Climate Change Impact Assessment Method for Vegetation Ecological Quality" came into being, aiming to provide a standardized basis for scientifically evaluating the impact of climate change on vegetation ecological quality.
2. Comparison of standard frameworks
| Standard dimensions | GB/T 42961—2023 | Comparison standards |
|---|---|---|
| Evaluation indicators | Net primary productivity (NPP) of vegetation, vegetation coverage, geographical distribution area | Ecosystem service value assessment is not included |
| Evaluation levels | Highly positive contribution, moderately positive contribution, no contribution, moderately negative contribution, highly negative contribution | Unspecified regional differences |
| Calculation method | Comparative analysis based on actual and potential vegetation ecological quality | No remote sensing data fusion involved |
3. Practical application case analysis
Case:Under the influence of climate change, the NDVI index of forest vegetation in a certain area has dropped significantly. Calculated according to the GB/T 42961-2023 standard, it is found that its net primary productivity (NPP) has decreased by about 15%, mainly due to changes in precipitation and temperature.
Explanation:Use the NDVI sensor to obtain vegetation index data, and combine it with climate parameters such as annual precipitation and average temperature to calculate the potential vegetation net primary productivity (NPP), and then compare it with the actual value to evaluate the contribution rate of climate change.
4. Analysis of Technological Evolution
GB/T 42961-2023 introduces the latest satellite remote sensing technology and ecosystem models (such as BIOME), which significantly improves the scientificity and accuracy of the evaluation method. Compared with previous standards, the following are added:
- Multi-source data fusion analysis
- High-resolution vegetation index calculation
- Regional heterogeneity consideration
5. Implementation Suggestions
To ensure the effective implementation of the standard, it is recommended to:
- Strengthen multi-departmental collaboration and integrate meteorological, forestry, and remote sensing data resources.
- Carry out regional-scale verification research and optimize model parameters.
- Establish a long-term monitoring network and regularly update the results of vegetation ecological quality assessment.
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