Key Ecological Function Areas Research Articles

A Multi-Scenario Simulation and Dynamic Assessment of the Ecosystem Service Values in Key Ecological Functional Areas: A Case Study of the Sichuan Province, China

The ecosystem service value (ESV) is an important basis for measuring an ecological environment’s quality and the efficient management of ecosystems. It is particularly necessary to explore a proven methodology for assessing and predicting ESV dynamics coupled with policy-oriented scenarios that can provide a theoretical groundwork for macro decision, particularly in the context of implementing ecological protection and restoration projects. This study selected the land cover (LC) of Sichuan Province at five periods and the spatiotemporal dynamic equivalent factor method to assess the ESVs from 2000 to 2020. Additionally, the study coupled the Markov chain and GeoSOS-FLUS model, and predicted the future pattern of ESVs under four future development scenarios. The results show that (a) the areas of forests, shrubs, waters, wastelands, wetlands, and impervious areas showed a continuous increase from 2000 to 2020, with the most frequent interchanges occurring among croplands, forests, and grasslands. (b) The implementation of ecological protection and restoration projects led to a 13,083.32 × 108 yuan increase in ESV, and barycenter of the ESVs is located in the northeastern part of Ya’an and exhibits a tendency to move towards the northeast. (c) The ESV aggregation pattern of each city has remained unchanged, with Ganzi being the only city with a high aggregation. Overall, there are more conflict cities than coordination cities between economic development and the ecological environment. (d) The total ESV in 2025 will continue to increase under all development scenarios, reaching a maximum of 50,903.37 × 108 yuan under the EP scenario. This study can provide insights for ecological planning decisions and sustainable regional socio-economic development.

Repression or promotion? Transfer payments, ecological constraints, and enterprise development

The establishment of national key ecological function areas constitutes a pivotal policy tool for China's environmental preservation and restoration initiatives. Nevertheless, the economic ramifications of policy implementation on the growth of regional enterprises remain substantial. This research employs the quasi-natural experiment framework provided by the national key ecological function area, focusing on 102 counties in Hebei Province from 2014 to 2018. By employing the difference-in-difference method, this study scrutinizes the policy's impact on enterprises surpassing designated size thresholds, ensuring the robustness of results through multiple tests. The findings reveal a pronounced negative effect on regional enterprise development subsequent to policy implementation, as evidenced by a 12.57 percent decline in the developmental metrics of enterprises exceeding the specified size threshold. Furthermore, this adverse impact exacerbates with prolonged policy duration, thereby accentuating the imposition of “ecological constraints” that restrict enterprise expansion in the pursuit of comprehensive ecological protection. Heterogeneity analysis underscores disparate policy impacts, particularly affecting counties characterized by low levels of industrialization and substantial local fiscal expenditure. This study posits that the prevalent utilization of environmental surveillance and punitive measures may contribute to these adverse effects, fostering a passive rather than innovative enterprise comportment.

2021–2022年广东南岭站日尺度气象数据集

The mountainous forest and biodiversity ecological functional area of the Nanling Mountain forest ecosystem is one of the 25 key ecological functional areas in China, covering a variety of forest vegetation types, including tropical and subtropical moist broadleaf forests, coniferous broad-leaved evergreen mixed forest, and mountain top evergreen broad-leaved dwarf forest. The tropical and subtropical moist broadleaf forests are the most typical vegetation type in the Nanling Mountains. Monitoring the meteorological elements in the community can help understand the response mechanism of the tropical and subtropical moist broadleaf forests in the Nanling Mountains to climate change. Based on the Nanling Forest Ecosystem National Field Scientific Observation Research station ("Nanling Station" for short) in the Nanling Mountains, Guangdong, we carried out positioning research in Nanling National Nature Reserve. In this paper, we disclosed the raw data of 10 min average wind speed, precipitation, air temperature, air pressure, solar radiation (i.e. total radiation, reflected radiation, ultraviolet radiation, net radiation, photosynthetically active radiation) as well as relative humidity continuously collected in the subtropical evergreen broad-leaved forest area of the Nanling Station from 2021-2022 on a daily scale after data processing, quality control and evaluation. The dataset accessible to the public can serve as a valuable resource for further insights into the Nanling Mountain Forest Ecosystem, and provide foundation for efforts related to the restoration and protection of forest ecosystems.

Disparity of Rural Income in Counties between Ecologically Functional Areas and Non-Ecologically Functional Areas from Social Capital Perspective

In China, income disparities between regions continue to widen, especially in rural areas where environmental policies are implemented, where regional development is more underdeveloped and inequality is high. This paper provides an explanation from the perspective of social capital. Based on the panel data of 2077 counties in 2001–2015, this paper finds that the difference in social capital between ecological and non-ecological functional areas is not only from the gap in the total amount but also from the gap in the income effects. Empirical evidence shows that, although there is a positive correlation between social capital and rural income, the difference between the income effects is further caused by the lower level of social capital in ecological functional areas than in non-ecological functional areas. It is proved that there is a gap between the income effects of social capital in ecological function areas and non-ecological function areas, especially among the low-income groups of the two sectors. The results of the further decomposition of the differences show that the total difference in rural income between ecological function areas and non-ecological function areas is about 40%, of which the contribution of social capital is greater than the contribution of the two sectors. Therefore, the national key ecological functional areas need to explore new models for poverty reduction through social capital.

An analysis on the spatial heterogeneity characteristics of landscape ecological risk in Qilian Mountain National Park

As a key ecological function area and a priority area for biodiversity conservation in China, Qilian Mountain National Park is facing a severe test of its ecological environment, and the study of its landscape ecological risk is of great significance to the construction and high-quality development of the Qilian Mountain National Park. In this research, based on land use data from six periods (i.e., year in 1995, 2000, 2005, 2010, 2015, and 2020) in the Qilian Mountain National Park, we divided the ecological risk plots, calculated the landscape pattern, and constructed the landscape ecological risk index to deeply explore the temporal and spatial heterogeneity of landscape ecological risk in Qilian Mountain National Park by using ArcGIS, Fragstats and GeoDa. The results showed that: Grassland is the predominant land use type, the area covered by woodland and grassland have exhibited a significant increase since 1995. Landscape fragmentation and disturbance indices exhibit fluctuations across different years, but showed an overall decreasing trend, and landscape stability was improved in the study area. There were obvious differences in the disturbance indices of different landscape types, with grassland and bare land having the highest values. Ecological risk in the study area is heterogeneous, with an overall low ecological risk and a shift to a lower risk level, and a decreasing trend in ecological risk, which is positively correlated spatially and mainly manifested as a “low-low” aggregation. Global warming and unreasonable human activities have exacerbated the ecological degradation of Qilian Mountain National Park, but a series of ecological restoration strategies after the establishment of the national park have gradually improved the regional ecological environment.

The synergistic reduction effect of PM2.5 and CO2: evidence from national key ecological functional areas in China.

China faces the dual pressure of haze pollution control and carbon emission reduction. The goals of national key ecological functional areas (NKEFAs) are to improve ecological quality and enhance ecological supply. In this paper, a time-varying difference-in-differences model is used to assess the impact of NKEFAs on PM2.5 and CO2 by the panel data of prefecture-level cities of China and then investigate the synergistic reduction effect. This quasi-natural experiment reveals that NKEFAs can effectively reduce both PM2.5 and CO2 and then achieve the synergistic emission reduction effect. Land use pattern optimization and productivity enhancement are identified as key drivers for promoting this synergistic effect. This effect is observed in NKEFAs of water conservation and soil conservation types, as well as in the northern region, middle and lower reaches of the Yangtze River, and southeast coastal areas of the southern region. This study provides valuable theoretical references and empirical insights for realizing a synergistic status of environmental improvement and low-carbon transformation.

Scenario Simulation and Driving Force Analysis of Ecosystem Service Values Based on Land Use/Cover in the Tumen River Basin, China

Key ecological function areas play a crucial role in safeguarding and rehabilitating ecosystems and mitigating regional ecological degradation. Unraveling the interconnectedness between land use/cover (LULC) transformation and the ecosystem service value (ESV) in these regions is of profound importance for sustainable development. In this paper, the LULC response in the Tumen River Basin (TRB) to an assessment of ESV from 2000 to 2020 was explored. An advanced equivalent factor that incorporates both biomass and socioeconomic factors was used to evaluate the ESV of the TRB. Taking the potential impact of factors such as temperature (TEM), precipitation (PRE), normalized difference vegetation index (NDVI), digital elevation model (DEM), soil organic matter content (SOMC), and human activity intensity of land surface (HAILS) into account, the patch-generating land use simulation model (PLUS) was used to simulate and predict the spatial evolution of the ESV under different land resource management strategies in 2030. The results indicate an increasing trend in the total ESV in the study area from 2000 to 2020, with forested land accounting for nearly 94% of the total ESV for the TRB. HAILS, DEM, and NDVI were identified as the main factors affecting the spatial differentiation of ESV. A negative correlation (−0.65) was found between ESV and the landscape shape ndex (LSI), indicating that more irregularly shaped landscapes have a lower ESV. Positive correlations were observed between the Shannon’s Diversity Index (SHDI) (0.72) and the Aggregation Index (AI) (0.60), suggesting that more diverse and interconnected landscapes have a higher ESV. The PLUS simulation results provide valuable data-based support for achieving planning objectives under different land resource management strategies. Specifically, these findings can serve as a reference for the integrated planning of land resources and environmental protection, promoting the sustainable development of ecological functional areas along the northeast border of China.

Is there an environment and economy tradeoff for the National Key Ecological Function Area policy in China?

China implemented the National Key Ecological Function Area (NKEFA) policy, the world's largest ecological compensation program, aimed to breaking the vicious cycle of poverty and environmental degradation. However, previous studies have often overlooked the poverty and environment impact of the policy and paid little attention to the distortions it may have inadvertently fostered. This study used panel data from 1749 county-level units from 2002 to 2020, supplemented with remote sensing and Geographical Information System data, to quantify ecological poverty indicators. Subsequently, a multi-period difference-in-differences model was deployed to identify the impact of the NKEFA policy on ecological poverty and rural residents' incomes in the pilot counties. Finally, the mechanisms of policy effectiveness were examined from the perspective of administrative constraints and fiscal incentives. The results show that, firstly, the NKEFA policy has exerted a substantial positive impact on both ecological poverty and rural residents' income growth. However, ecological poverty reduction displayed a rebound effect characterized by initial improvement followed by deterioration, primarily due to inadequate incentives, leading to local government distortion behavior. Meanwhile, rural residents' incomes exhibited a consistent upward trend. Secondly, the improvement of ecological poverty is premised on weakening industrial development incentives and aided by some level of ecological migration. However, this also leads to reduced fiscal revenues, increased fiscal expenditures, and expanded fiscal deficits. The significant increase in rural residents' income largely depends on the financial intervention of local governments, especially the non-agricultural income brought about by the transfer and transformation of non-agricultural labor, as well as the agricultural income brought about by the improvement of agricultural production and efficiency. Thirdly, the NKEFA policy has yielded more apparent improvements for ecologically impoverished, resource-dependent, economically strong, and industrial backbone counties. However, resource-dependent and industrial backbone counties have experienced negative income effects. These findings provide a practical Chinese-style example of global eco-poverty reduction policies in developing countries.

Does green location-oriented policy enhance ecological resources and reduce air pollution? Empirical analysis from counties in China

Green location-oriented policy plays a vital role in improving the ecological security. Using the multi-phase difference-in-difference (DID) method, this study evaluates the impact of national key ecological functional areas (NKEFA) on ecological resources and environmental pollution. There are several important findings. Firstly, NKEFA effectively enhances ecological resources and reduces air pollution, the policy effect only manifests after two years of implementation. Secondly, NKEFA has indirectly improved air quality by promoting technological innovation, advanced industrial structure, and regional ecological resource quality. Moreover, the relationship between NKEFA and ecological resources is negatively regulated by industrialization and economic agglomeration, while the relationship between NKEFA and air pollution is positively regulated by them. Thirdly, NKEFA has the strongest impact on enhancing ecological resources in the eastern region, and it is more effective in reducing air pollution in the central and eastern regions compared to the western regions. Furthermore, the NKEFA demonstrates the greatest effectiveness in promoting ecological resources and reducing air pollution in water and soil conservation areas. However, there is a spatial spillover effect, which suggests that this policy has some negative impacts on the surrounding counties’ ecological environment.

Comparing the Effectiveness of Biodiversity Conservation across Different Regions at County Scale

The central government of China encourages enthusiasm for biodiversity conservation by implementing a transfer payment policy targeted at Biodiversity National Key Ecological Functional Areas at the county scale. Biodiversity National Key Ecological Functional Areas are types of PAs that were designated by the State Council of China for the implementation of biodiversity conservation. However, regional comparative assessment results of biodiversity conservation effectiveness in different county-level administrative units are still lacking. In this study, we developed a reference condition index to represent the ecological background, and we then constructed a conservation effectiveness index to compare the conservation efforts among 131 counties in seven Biodiversity National Key Ecological Functional Areas. The results showed the following: (1) The biological background could be well reflected by the reference condition index. The Tropical Rainforest Ecological Function Area in Mountain Areas in the Middle of Hainan Island had the best biological background, while the Desert Ecological Function Area on the Northwest Qiangtang Plateau had the worst. (2) The biodiversity conservation effectiveness of the Desert Ecological Function Area on the Northwest Qiangtang Plateau was the best, and that of the Wetland Ecological Function Area of the Three River Plain was worst. (3) Among the 131 counties, Taibai County in the Biodiversity Ecological Function Area of Qinba Mountain performed best, while Fujin City in the Wetland Ecological Function Area of the Three River Plain performed worst. Our study could provide valuable insights for the transfer payment. Meanwhile, it can also supply a scientific reference for the management of Biodiversity National Key Ecological Functional Areas to enhance biodiversity.

Dynamic change of habitat quality and its key driving factors in Ningxia Hui Autonomous Region, China

Habitat quality reflects the level of biodiversity, and habitat maintenance functions are related to human well-being and ecosystem stability. Ningxia Hui Autonomous Region is a typical ecologically fragile region in Western China with complex human-nature relationships. Maintaining good habitat is not only a fundamental requirement for biodiversity conservation but also a necessary path for sustainable regional development. In this study, we assessed and analysed the spatial and temporal patterns and changes in habitat quality in Ningxia from 2000 to 2020, and explored the driving factors of habitat quality using a geographically weighted regression (GWR) model. The results indicated: (1) The overall habitat quality level in Ningxia was low to intermediate, with an upwards and then downwards trend during the past 20 years, showing a small change in overall magnitude. (2) The high- and higher-level habitat quality patches in Ningxia were mainly distributed in areas with high vegetation cover, such as the Helan Mountain and Liupan Mountain. The patches of moderate-level habitat quality mainly included cultivated land, while the low- and lower-level patches were mainly distributed in areas subjected to more frequent human activities, such as cultivated land and construction land. (3) The spatial and temporal distribution patterns and changes in habitat quality in Ningxia from 2000 to 2020 were mainly influenced by fractional vegetation cover (FVC), soil moisture content (SMC), proportion of construction land area (PCL), and proportion of cultivated land area (CLP). Among them, FVC and SMC were positive driving factors, and PCL and CLP were negative driving factors. The results support that increasing vegetation cover and reducing anthropogenic disturbance to natural habitats are important measures to maintain fragile habitats and that key ecological function areas such as nature reserves are crucial for habitat quality protection in ecologically fragile areas.

Impact of ecological governance policies on county ecosystem change in national key ecological functional zones: A case study of Tianzhu County, Gansu Province

Policy is a key element of ecological governance, however, insufficient attention has been given to how different policies and regulations in a systematic way affect ecosystem processes and functions. This study evaluated the impact of ecological policies in the national key ecological functional areas (NKEFAs) since 1990, taking Tianzhu County as a case study. We first evaluated the change in policy intensity through quantitative analysis of policy texts, then analyzed the change in the ecosystems with carbon storage, habitat quality, ecosystem service and water conservation. Finally, the partial least squares (PLS) was used to quantify the effective path for and effect of policies on the ecosystem through adjustments in agriculture, animal husbandry and population. The results showed that policies have a significant direct impact on the agricultural planting industry, animal husbandry and population size and structure, and have a significant indirect impact on the whole ecosystem. The research demonstrated the usefulness of applying PLS-SEM and ecosystem function indicators to evaluate the impact of ecological governance policies on ecosystems in NKEFAs. The research can provide reference for the ecological policy making of NKEFAs.

Can China’s transfer payment in key ecological function areas reduce the carbon intensity? – Quasi – Natural experimental evidence from Jiangxi, China

Reducing carbon intensity while sustaining economic growth is a major challenge for China's ecological civilization construction in the context of global warming. China’s transfer payment policy in National Key Ecological Function areas plays a crucial role in promoting ecological improvement and reducing local carbon intensity. In this study, we examine the impact of transfer payment policies on carbon intensity in Jiangxi Province, a demonstration area for national ecological civilization, and we further investigate the carbon reduction mechanism and the spatial spillover effect of the policies. Results show the following: (1) the transfer payment policy in key ecological function areas has significantly reduced the carbon intensity, and the research conclusion is still valid after the robustness test; (2) the transfer payment policy in key ecological function areas reduces the carbon intensity by promoting the upgrading of industrial structure; (3) the transfer payment policy in key ecological function areas has a significant role in promoting the reduction of carbon intensity in this region and the adjacent regions. The findings highlight the significant promoting role of transfer payment policies in key ecological function zones on carbon emission reduction in both local and neighboring areas. It also underscores the importance of expanding policy coverage, establishing horizontal ecological compensation mechanisms, exploring multidimensional approaches to carbon reduction, and fostering cross-regional exchanges and cooperation. These insights provide valuable guidance for policymakers working towards effective and sustainable carbon emission reduction.

Evolution of County Socio–Ecological Systems in Nature Reserves in Western China Over the Past 30 Years

The evolution process of socio–ecological systems from 1990 to 2020 in the Tianzhu Tibetan Autonomous County, located in the National Key Ecological Function Area of western China, was analyzed quantitatively based on resilience theory and methodology combined with catastrophe theory and adaptive cycle theory, through field investigation, questionnaires and interviews, social data collection and remote sensing data analysis. The results show that the coordinated development of socio–ecological systems has made great progress in recent decades in the study area, and the coordinated development of social systems and ecosystems has a high degree of coupling and a strong connection. Changes in ecosystem resilience regularly surpassed changes in the social system, indicating the significant impact and success of ecological protection policies and projects in recent decades. In future, improvements in the social sub-system will be the key to developing the socio–ecological system in the study area. Enhancing social sub-system resiliency, implementing transformational development and green industry development, and transforming and realizing ecological product values are important topics for further investigation in the study area. Substantial changes in policy, production, population and climate change are needed to promote the evolution of socio–ecological systems. Stable national policies are crucial for improving people's livelihoods and providing ecological protections.

The establishment of the national key ecological functional zone and the county’s ecological green development

Ecological green development is the development of conforming to nature and promoting the harmonious coexistence of man and nature. As the most basic and supportive grassroots political unit, the county level occupies a special key position in the overall national green development strategy. How to evaluate the ecological green development of the county, protect the green earth, and respond to climate change, have become a new problem facing various countries around the world. To this end, China is determined to implement the establishment of a national key ecological functional zone pilot policy to study its ecological green development from the perspective of the county. Based on the literature review and theoretical mechanism, this paper selects 1997 county-level data indicators in mainland China from 2007 to 2019 to explore the role of the establishment of national key ecological function areas on the ecological green development of counties. The implementation of the national key ecological function zone policy can significantly increase the vegetation normalization index by about 0.035–0.037 units. The implementation of the policy has greatly expanded the capacity and range of above-ground and below-ground biomass. The reduction of large-scale investment by the government, the improvement of quality and efficiency of enterprises in the region, and the increase artificial afforestation are important transmission mechanisms for the implementation of policies to affect the green development of counties. The implementation of the policy has a positive green spillover effect on adjacent areas, which can realize regional coordinated ecological governance. Each additional hectare of artificial afforestation can absorb about 134,800 tons of carbon emissions each year, bringing additional benefits of 730 million yuan. It releases about 98,000 tons of oxygen a year, which can be used for 1.312 billion people for oxygen respiration consumption every year.

Co-benefits of the National Key Ecological Function Areas in China for carbon sequestration and environmental quality

IntroductionThe National Key Ecological Functional Areas (NKEFAs) are location-oriented ecological engineering of China, which rely on the main functional area planning. The co-benefits of ecological product supply and ecological environment improvement of NKEFAs has not been fully assessed in the literature.MethodsNKEFAs is considered a quasi-natural experiment, and the time-varying difference-in-differences (DID) model is used to assess the impact of NKEFAs on carbon sequestration (CS) and environmental quality (EQ) based on the panel data of 330 cities in China from 2001 to 2019. Then, we explore whether the co-benefits of ecological product supply and eco-environment protection can be achieved.Results and discussionNKEFAs can enhance CS and EQ and thus achieve co-benefits for both. NKEFAs can achieve the co-benefits of CS and EQ through territory spatial allocation and labor force aggregation, but industrial structure upgrading only positively mediates the impact of NKEFAs on CS. The co-benefits of CS and EQ are heterogeneous across functional area types, geospatial locations, and quantiles, while only CS at windbreak-sand fixation area, northwestern region, and low quantile regions is enhanced. This study makes a theoretical and methodological contribution to the existing literature on the policy effect assessment of ecological engineering. It also provides a comprehensive framework for evaluating the ecological effects of relevant policies in other countries by integrating the co-benefits of ecological products and eco-environment, analyzing regional heterogeneity, and exploring the underlying mechanisms.

Transfer payment in national key ecological functional areas and economic development: evidence from a quasi-natural experiment in China

Transfer payment in national key ecological functional areas and economic development: evidence from a quasi-natural experiment in China

基于“参照系-现状-变化量”的生态系统评估方法

PDF HTML阅读 XML下载 导出引用 引用提醒 基于“参照系-现状-变化量”的生态系统评估方法 DOI: 10.5846/stxb202110122868 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划项目（2016YFC0500200） Research on ecosystem assessment method based on Reference-State-Deviation Author: Affiliation: Fund Project: National Key Research and Development Program(2016YFC0500200) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:生态系统评估是开展生态系统管理的重要手段，其评估结果已成为衡量区域生态系统状况优劣的重要依据。由于没有充分考虑生态系统禀赋的区域差异性，缺乏有效区分气候变化和人类活动影响的手段，导致生态系统评估结果的实用性与区域可比性一直存有争议。在生态大数据背景下，基于生态完整性理论，结合长期地面监测数据、野外调查数据、遥感数据等海量数据，耦合生态系统过程模型，构建了基于"参照系-现状-变化量"（RSD）的生态系统评估体系，以受干扰较少接近原生、完整的地带性植被生态系统（完整的生态系统）作为参照系，其表现出来的组成、结构、功能等特征为参照条件，生态系统状况现状与参照条件的偏离程度作为评估生态系统优劣程度的依据，从而将现状评估转变为变化量评估，增强评估结果的时空可比性。并以生态系统过程模型为工具，利用RSD评估方法评估了中国陆地生态系统生产力功能，验证了该方法体系的可行性。评估结果显示，2000-2018年我国植被净初级生产力（NPP）参照值、现实值和变化量均表现为上升趋势，而NPP现实值与变化量的空间分布存在显著差异，基于RSD的评估方法较好地解决了评估结果区域不可比的问题。研究对完善我国生态系统评估体系，推动生态系统评估结果的实用化，支撑我国重点生态功能区县域考核、生态红线监管、自然保护地体系建设等国家需求具有重要意义。 Abstract:Ecosystem assessment is vital important to carry out ecosystem management, and its results have become a basis to measure the status of regional ecosystem. Due to the insufficient consideration of the regional differences of ecosystem endowments and lack of effective measures to distinguish the impact of climate change and human activities, the practicability and regional comparability of ecosystem assessment results have been controversial. Under the background of ecological big data, this paper combined with long-term ground monitoring data, field investigation data, remote sensing data and other massive data, coupled with the ecosystem process model, and took the less disturbed, nearly native and integral zonal vegetation ecosystem (integral ecosystem) as references based on the ecological integrity theory. The composition, structure and function of the integral ecosystem were defined as the reference conditions. The deviation between the current and reference state of ecosystem was used to evaluate the ecosystem. An ecosystem evaluation method based on "Reference-State-Deviation (RSD)" was then constructed. The RSD evaluation method could transform the assessment of current state into deviation assessment and enhance the temporal and spatial comparability of the assessment results. Taking the self-developed model, CEVAS-RS model and CEVAS-CLI model as tools, the productivity of terrestrial ecosystem in China was evaluated, and the feasibility of the method was verified. This study is of great significance to improve China's ecosystem assessment system, promote the practicability of ecosystem assessment results, and support the national needs of China's key ecological function areas and counties assessment, ecological red line supervision, nature reserve system construction and so on. 参考文献 相似文献 引证文献

Impact of the establishment of National Key Ecological Functional Areas on the rural residents’ income: Empirical analysis based on PSM-DID

Impact of the establishment of National Key Ecological Functional Areas on the rural residents’ income: Empirical analysis based on PSM-DID

A GIS-Based Study on the Layout of the Ecological Monitoring System of the Grain for Green Project in China

The Grain for Green Project (GGP) is an essential ecological system protection and restoration measure which can effectively improve the ecological environment. Constructing ecological monitoring system and obtaining ecological parameters can scientifically evaluate the ecological benefits of the GGP, consolidate the existing achievements, take the road of high-quality development, and promote the construction of a national ecological civilization. Firstly, an index system was constructed based on the factors driving forest ecosystem functions, involving climate (thermal and moisture conditions), vegetation types, and typical ecological zones. Then, GIS spatial analysis technology and the merging criteria index method were used to identify GGP ecological function monitoring zones. Finally, according to the scale of the project, the spatial distribution of existing stations, typical ecological zones, and the density of monitoring stations, the eco-efficiency monitoring stations, were arranged in an overall way, which constitutes the GGP ecological monitoring network. The results showed that the ecological function monitoring zones of GGP included 77 divisions, and 99 ecological monitoring stations (20 compatible level-1 stations, 31 compatible level-2 stations, 18 professional level-1 stations, and 30 professional level-2 stations) were arranged. Among them, 83 are located in national major ecosystem protection and restoration engineering areas (NMEPREA), 79 in national ecological fragile areas (NEFA), 41 in national ecological barrier areas (NEBA), and 58 in national key ecological function areas (NKEFA). The proportion of types of NMEPREA, NEFA, NEBA, and NKEFA covered by monitoring is 66.7%, 100%, 100%, and 76%, respectively. The ecological monitoring system of GGP can not only meet the monitoring needs of the GGP but also effectively monitor the effectiveness of protection and restoration of typical ecological zones. In addition, this study can provide a methodological basis for other countries or ecological projects to build a more scientific and reasonable ecological monitoring system.