Enhancement of ecological barrier function based on the nonlinear relationship between environmental factors and ecosystem services, Qinghai-Tibetan Plateau

Enhancing regional ecosystem stability and managing land resources effectively requires identifying ecological function zones and understanding the factors that influence them. However, most current studies have primarily focused on ecosystem service bundles, paying less attention to the trade-offs, synergies, and ecological sensitivity, leading to a more uniform approach to functional zoning. This study aimed to analyze and describe the spatial and temporal patterns of four essential ecosystem services, including water yield (WY), net primary productivity (NPP), soil conservation (SC), and habitat quality (HQ), in the Sichuan-Yunnan ecological buffer area over the period from 2005 to 2019. Spatial overlay analysis was used to assess ecological sensitivity, trade-offs, synergies, and ecosystem service bundles to define ecological functional zones. Geographic detectors were then applied to identify the primary drivers of spatial variation in these zones. The findings showed a progressive improvement in ecosystem service functions within the Sichuan-Yunnan ecological buffer zone. Between 2005 and 2019, NPP, soil conservation, and water yield all demonstrated positive trends, while HQ displayed a declining trend. There was significant spatial heterogeneity and distinct regional patterns in ecosystem service functions, with a general decrease from southwest to northeast, particularly in NPP and HQ. Trade-offs were evident in most ecosystem services, with the most significant between WY and HQ and most in the northeast and east regions. Ecological sensitivity decreased from southwest to northeast. Regions with a higher ecological sensitivity were primarily situated in the southwestern region, and their spatial distribution pattern was comparable to that of high habitat quality. The spatial overlay analysis categorized areas into various types, including human production and settlement zones, ecologically vulnerable zones, ecological transition zones, and ecological conservation zones, accounting for 17.28%, 22.30%, 7.41%, and 53.01% of the total area, respectively. The primary environmental factor affecting ecological function zoning was identified as precipitation, while the main social variables were human activity and population density. This study enhances the understanding of ecological functions and supports sustainable development in the Sichuan-Yunnan ecological buffer area, offering important guidance for ecological zoning.

Following the 2015 publication and revision of the 2008 National Ecological Functional Division, China, in 2017, added 240 counties (cities, districts, and banners) to its national key ecological functional zone system. Ecological functional zones, in practice, are often caught in a dilemma between environmental protection and economic development, with actions aimed at the promotion of locally-based economic advances frequently conflicting with the goals of ecological functional divisions. To investigate this dilemma, the paper selected Tiamitcheen County in the Qinghai–Tibet Plateau, a key ecological function zone, as the site for a field investigation, case study. The primary methodologies applied in this study included a questionnaire survey and in-depth interviews. Based on the observation of three main reasons for the dilemma between environmental protection and economic development, the author proposed that ecological functional zones should be further subdivided based on the National Ecological Functional Division according to the zones’ respective characteristics at the local level. More efforts should also go into better specifying the scope of ecological “red lines”, and to the demarcation of the boundaries of ecological functional core zones, buffer zones, and experimental zones. This would help in the formulation of local development planning, while at the same time increasing the support directed to ecological protection zones. In addition, “differentiated” and “greening” zoning assessment mechanisms should also be fully implemented, whereby different assessment factors and weights are established according to the characteristics of the different functional zones. An expanded array of economic indicators should also be delineated, which more specifically indicates the differences between ecological functional zones and other functional zones. This would, via a “differentiated” and “green” assessment system, help to ease the conflicts arising between local governments’ efforts at both economic promotion and ecological protection. Within ecological functional zones, it would also encourage local governments to break through the need to adhere strictly to efforts at economic promotion so as to ensure ecological security.

城市生态环境问题已上升到生态安全的层面。以人类生存安全和理想人居环境为目标,基于空间数据和统计资料,利用景观安全格局原理和地理信息系统空间分析方法,构建了包含基本保障格局-缓冲格局-最优格局3个级别的水安全格局、地质灾害安全格局、大气安全格局、生物保护安全格局和农田安全格局,叠加得到高明区综合生态安全格局,在此基础上提出了高明区建设用地扩展最优方案和生态功能分区。结果显示,并非生态安全格局水平越高,城乡发展模式越优,缓冲生态安全格局下的高明区建设用地扩展模式,最可能实现生态安全保护与城镇扩展的和谐发展。综合生态安全格局明确了区域的生态环境敏感区和生态服务功能重要区,为区域生态功能分区提供了新的思路。;High intensity of human activities and inappropriate land-use modes bring an enormous pressure on the susceptible urban ecosystem. Recently, urban ecological and environmental problems have risen to the urban ecological security level in China, especially in economic-developed regions, such as the Changjiang Delta regions and Pearl River Delta regions. So, construction of a good regional ecological security pattern has become an effective means to protect the urban and rural ecological security, to create an optimum urban development mode for such regions and to control the rapid and disordered urban expansion. Aiming to protect the subsistence security of human beings and create an ideal human settlement, we firstly indentified the key points (sources) and ecological processes (landscape-resistance surfaces) for the regional ecological security pattern using the landscape security pattern theory and GIS spatial analysis method on the basis of the terrain, land-use and statistical data. Then, we built five ecological security patterns (the water, geological disasters, air, the biology and the farmland safety pattern), which contain three-level security patterns such as the Basic protection ecological security, the Buffer ecological security and the Optimum ecological security pattern for each element. Next, we overlaid the five ecological security patterns and developed a comprehensive three-level ecological security patterns for Gaoming district of Foshan City. Furthermore, we simulated four urban expansion patterns separately under the Inertial urban development pattern and the three-level ecological security patterns. Results showed that the urban regions always spread along the road and the original urban regions randomly. Open spaces, such as the farmlands and woodlands, were always firstly occupied due to the disordered urban expansion under the inertial development pattern. So the ecosystem security under the Inertial urban development pattern can not be basely protected. While under the Basic, the Buffer and the Optimum ecological security patterns, the integrity and connectivity of the whole ecological system can be progressively improved and the connectivity among towns will be progressively reduced. Integrating from different simulation results, the urban development pattern of Gaoming under Buffer ecological security pattern was the best one to protect the ecological safety and meet the needs of urban expansion simultaneously. It indicated that higher level of ecological security pattern did not mean a more optimum urban and rural development model. On the basis of the Buffer ecological security pattern simulation, we then divided the region of Gaoming into three ecological zones (the ecological zone with low mountains and hills, the eastern plains ecological zone along the Xijiang River, and the tableland-valley agriculture and forestry ecological zone). We further subdivided the three ecological zones into 12 sub-ecological zones and 12 ecological function zones using the hierarchical classification method. Then, the three-level ecological function zone patterns (ecological zones, ecological sub-zones and ecological function zones) of Gaoming were finally developed. It can be clearly seen that the comprehensive ecological security pattern of Gaoming clarified the most sensitive area of the ecology and environment and the most important regions of the ecological functions. Hence, the comprehensive ecological security pattern provided a new method for regional ecological function zoning.

Identifying ecosystem service functions, clarifying the spatiotemporal trade-offs and synergies of terrestrial ecosystem services and their driving mechanisms, and exploring differentiated ecological functional zoning are crucial steps in achieving healthy regional ecosystem management, and are conducive to developing diversified ecological restoration strategies, establishing a robust cross-regional collaborative management mechanism, implementing differentiated ecological management strategies, and contributing to the construction of a Beautiful China. This paper, based on the InVEST model, Pearson correlation, GeoDetector, and Spatiotemporal Geographically Weighted Regression models, constructs a spatial quantification model of the trade-offs and synergies among five key ecosystem service functions—habitat quality, soil retention, water conservation, food supply, and carbon sequestration—of China’s terrestrial ecosystems from 2000 to 2020. It explores the influencing factors of terrestrial ecosystem services in China and their spatiotemporal heterogeneity, thereby investigating the future strategies for ecological functional zoning and management of China’s national land space. The results indicate that: (1) during 2000–2020, China’s food supply and soil conservation have increased. However, the habitat quality, water conservation, and carbon sequestration have decreased. (2) Significant spatial and temporal heterogeneities exist in the key ecosystem services of China’s terrestrial ecosystems. (3) Natural, economic, and social factors all impact China’s terrestrial key ecosystem services. Among them, slope, annual average precipitation, land development intensity, and vegetation coverage are the main influencing factors, and different factors exhibit significant spatial heterogeneity. (4) Significant trade-offs/synergy effects among critical terrestrial ecosystem services exist in China. (5) China’s national territory is divided into four ecological protection functional zones: ecological restoration areas, ecological control areas, resilient development areas, and ecological conservation areas, and explores differentiated zoning optimization control paths.

Understanding the relationship between ecosystem services and the livelihood resilience of rural households is essential for effective ecological management. Although interest in the link between ecosystem services and livelihoods has grown, few studies have examined the effects of total ecosystem service value (ESV), individual types of ESV, and their interactions with other factors on household livelihood resilience. Moreover, the heterogeneity of these effects in ecological and non‐ecological functional zones remains underexplored. Based on a method innovation integrating a nationwide representative dataset collected in rural China and a spatial dataset representing ESV, this study compares the impact of ESV on livelihood resilience and its three components (absorptive, adaptive, and transformative capacity) in ecological and non‐ecological functional zones. The results show that: (1) Household livelihood resilience score is higher in non‐ecological functional zones than in ecological zones (26.90 vs. 25.37). (2) The average total ESV is higher in ecological functional zones (7.679 × 10 6 yuan) than that in non‐ecological functional zones (6.443 × 10 6 yuan). (3) Total ESV has a stronger effect on livelihood resilience in non‐ecological functional zones ( β = −0.123, p < 0.01), with the greatest impact on adaptive capacity ( β = −0.058, p < 0.01). (4) The material production value (, p < 0.01) and water provision value (, p < 0.01) in ecological functional zones have more pronounced impacts on household resilience compared to the non‐ecological functional zones. (5) ESV weakens the positive influence of land resources utilization and net income on livelihood resilience but enhances the positive impact of ecological projects. These findings offer important insights for policy development in ecologically sensitive regions.

Although the research framework of ecological function zoning is complex and diverse, there are not many spatially continuous zoning results, which can be effectively applied to watershed management practices. Ecosystem service bundles and trade-offs can identify interactions among multiple ecosystem services, and achieve better social-ecosystem management when applying to ecological function zoning. Taking the Dongjiang Lake Basin, China, as research area, the study used the InVEST model to investigate the trade-offs and synergies of ecosystem services at township and grid scales, respectively. Then, the study conducted ecological function zoning based on the bundles and trade-off intensity among ecosystem services. The results showed that food production showed extremely significant trade-offs with other services in the two scales, in which the trade-off intensity between food production and water purification was the largest, and the water areas were the hotspots of trade-off intensity. Based on the ecosystem service bundles at the township, combined with the trade-off intensity, the watershed was finally divided into four ecological functional zones, namely, agricultural product supply area (southern part in the study area), economic forestry area (northeast regions in the study area), water supply area (western areas of the study area), and forest conservation area (northern areas in the study area), accounting for 29.27%, 14.63%, 17.07%, and 39.03%, respectively. The study contributed to the ecological function maintenance and sustainable development in Dongjiang Lake Basin and provided an important reference in ecological zoning.

A thorough understanding of the relationships between ecosystem services and ecological functional zoning is crucial for ecological restoration, land spatial planning, resource management, and sustainable economic development. We evaluated four types of ecosystem services-water yield, carbon storage, food production, and soil conservation-of Taiyuan City from 2000 to 2020 using the InVEST model. We also employed R language, GIS technology, and self-organizing maps to identify trade-offs and synergies between ecosystem services at three scales: whole regional, pixel and county, and ecological functional zoning. The results showed that: ① Between 2000 and 2020, significant changes occurred in land use and ecosystem services in Taiyuan City, including a decrease in cultivated land and grassland area and an increase in construction land and forest area. An enhancement in soil conservation, food production, and water yield value was observed, while carbon storage service value declined slightly. ② At the whole scale, trade-offs were predominant among ecosystem services, while weak synergistic effects were found at the pixel scale, and regional heterogeneity was observed at the county scale. ③ Three ecosystem service clusters were identified, which were divided into three ecological functional areas: ecological conservation, agricultural production, and ecologically vulnerable, with the largest proportion being the ecological conservation area. Based on these divisions, differentiated management recommendations were proposed. The findings may provide scientific guidance for the sustainable management of ecosystem services in Taiyuan City.

Identification of ecological improvement zones in different ecological functional zones in northwest Hubei, China

The study of spatial and temporal patterns of ecosystem services and trade-offs/synergies relationships clarifies the distribution of ecological functional areas, which is a top priority for the coordinated development of regional economy-society-ecology. Using the InVEST model to assess the four ecosystem services of water yield, soil retention, carbon storage and biodiversity maintenance in Jilin Province from 2000 to 2020, analyzing their spatial and temporal patterns, analyzing trade-offs/synergies between ecosystem services and their drivers through the coupled coordination degree model and geodetector, and identifying ecological functional zones by using the SOM clustering approach. The results showed that: (1) the four ecosystem services showed significant variability over time from 2000 to 2020. Water yield increased in the western part of Jilin Province and decreased in the eastern part; total soil retention increased by 8 × 1011kg, and the growth of soil retention in the eastern part was larger than that in the western part; carbon storage showed a continuous downward trend, decreasing by a total of 1.3 × 1011 kg, with the strongest sequestration capacity of woodlands and grasslands; biodiversity maintenance higher in the southeast than in the northwest. (2) The two-two ecosystem service trade-offs are mainly located in the western part of Jilin Province, with quality synergies and good synergies distributed in the southern and eastern parts of Jilin Province. Precipitation was the dominant factor in the water production and biodiversity maintenance trade-offs/synergies, q = 0.8570, and slope had the greatest effect on the other five ecosystem service trade-offs/synergies. (3) Using the SOM algorithm to classify ecosystem service bundles, ecological functional zones are classified according to the characteristics of the ecosystem service clusters into ecological reserve, precautionary management zone, priority restoration zone, integrated supply zone, key management zone, and ecological conservation zone. Quantitative visualization studies of ecosystem services, trade-offs/synergies relationships among ecosystems and identification of ecological functional areas in Jilin Province can provide a theoretical basis for regional sustainable development and ecological environment optimization.

Hexi Corridor is an important ecological security barrier in China. Ecological zoning of this area is of great significance for the precise restoration and optimal resource allocation. We estimated the ecosystem service value of the Hexi Corridor and constructed ecological security pattern with the basic paradigm of "source-resistance surface-corridor-strategic point". We further coupled the results of the landscape ecological risk assessment to deli-neate ecological zoning and optimize the ecological security pattern. The results showed that ecological quality in the study area improved from 2000 to 2020, with total ecosystem service value increasing by 15.741 billion yuan. The area with high ecological risk decreased by 14324 km2, and the area with medium and low ecological risk increased by 4778 and 9546 km2, respectively. The ecological components exhibited consistent spatial distribution, primarily concentrated in the southern part of the Hexi Corridor. Ten ecological source areas were identified, covering 20643.12 km2. A total of 45 ecological corridors were extracted, totaling 2685.69 km in length, including 15 key ecological corridors spanning 1053.16 km. We identified 64 ecological strategic points. Hexi Corridor could be classified into four ecological zones: ecological safeguard zone, ecological rehabilitation zone, ecological improvement zone, and ecological conservation zone. The ecological sources and corridors were mainly located in the ecological safeguard zone and ecological conservation zone. Our results could provide theoretical references for ecological restoration research in the Hexi Corridor as well as in the northwestern China.

Ecological function zoning is an essential means of scientific management of ecosystems. According to the characteristics of ecological function zoning, implementing zoning control is conducive to the governance and protection of the ecological environment and the maintenance of ecological sustainability. This study was conducted with the Nansi Lake Basin as the cross-section for 2018. The Integrated Valuation of Ecosystem Services and Trade-offs model was adopted to assess and measure five ecosystem services, including water yield, crop production, soil conservation, carbon storage and carbon sequestration, and habitat quality. The Self-Organizing Feature Maps neural network was applied to obtain the ecosystem service bundles, and then, the ecological function zones were divided. The results indicated that the overall spatial pattern of ecosystem services in the study zone showed a decreasing schema from east to west; There was a trade-off between supply services and support services and a synergy between supply services and regulatory services; according to the bundling results, the Nansi Lake Basin was divided into four ecological functional zones: the eastern ecological surplus zone, the central crop supply zone, the western ecological balance zone, and the lake habitat protection zone. The results showed that (1) the spatial distribution of various ecosystem services in the Nansi Lake Basin showed spatial heterogeneity and specific regional laws, showing a decreasing pattern from the east to the west as a whole, especially in soil conservation, carbon sequestration, and habitat quality. (2) According to the supply and spatial distribution of each ecosystem service, the Nansi Lake Basin was divided into four ecological functional zones: the eastern ecological surplus zone, the central crop supply zone, the western ecological balance zone, and the lake habitat protection zone. (3) For zone I, provisioning services and regulation services were in synergy. For zone II and zone III, the provisioning service had a trade-off relationship with the regulation service and the supporting service. For zone IV, supporting services were trade-offs not only with provisioning services but also with regulating services. In general, the trade-offs between ecosystem service in the Nansi Lake Basin were stronger than the synergies, and the overall benefits of ecosystem services were smaller. Relying on the perspective of the ecosystem service bundles, at the county level, this study provided an analysis of the trade-offs and synergies among ecosystem services in the Nansi Lake Basin, which helped formulate the management plan for the corresponding region and provided the appropriate recommendations for regional habitat conservation and restoration.

Clarifying the spatial layout of ecological functional zones and the evolution patterns of trade-offs and synergies among multiple ecosystem services is helpful to formulate region-specific management strategies and is fundamentally important for scientific ecosystem management and sustainable development. We analyzed the spatiotemporal variations of six ecosystem services (ES) in Anhui Province from 1990 to 2020, including biodiversity maintenance, water yield, habitat quality, carbon storage, food supply, and soil retention. The multiple ecosystem service landscape index was used to assess comprehensive ecosystem service capacity. The self-organizing mapping algorithm was used to identify ecosystem service bundles. We conducted ecological functional zoning and investigated the trade-off and synergy among ES at both regional scale and within different service bundles. The results showed that during 1990-2020, construction land and forest exhibited increasing trends, increased by 121.8% and 1.2% respectively, while cropland, grassland, water, and unused land all decreased. Habitat quality and carbon storage showed decreasing trends, while the other four ESs exhibited overall increasing trend. Food supply displayed a pattern of low in the south and high in the north, whereas all other ESs showed a pattern of high in the south and low in the north. Based on the identified ecosystem service bundles, the study area was classified into three functional zones. The grain production area accounted for the largest proportion, while the ecological conservation area and the ecological transition area maintained roughly equal proportions. The ecological transition zone expanded faster than the ecological conservation zone. At the regional scale, there were trade-offs between food supply and other ESs, while there were synergies in the remaining five ESs. Due to the influences from human activities, land use types and climate change, the trade-off and synergy relationships among ESs within different service bundles exhibited varying degrees of heterogeneity compared to those at the regional scale.

Rational delineation of ecological functional areas and clarification of their driving factors are of significance for maintaining regional ecosystem stability. We assessed six ecosystem services of Sihu Lake Basin located in Jianghan Plain using InVEST and RUSLE models and recreational scoring methods. By using K-means clustering, we identified the ecosystem service bundles, and delineated the ecological functional areas in combination with ecological sensitivity and ecosystem service bundles. The dominant driving factors of different ecological functional areas were analyzed by Geodetector. The results showed that the spatial distributions of habitat quality and carbon sequestration services were similar, with high values being mainly concentrated in Changhu Lake Basin and Honghu Lake Basin. However, the spatial distributions of crop production and soil conservation services were different, with high-value areas concentrated in the northwest area with mountains. The high values of water production service were mainly concentrated in the eastern part of Honghu Lake Basin, while the high-value areas of ecological recreation service were mainly concentrated in the northwest area and the southern part of Honghu Lake Basin. The Sihu Lake Basin could be classified into crop production bundle, habitat quality bundle, and urban living bundle according to cluster analysis. The low ecological sensitivity areas accounted for 59.0% of the Sihu Lake Basin. We classified the study area into ecological restoration areas, ecological conservation areas, ecological transition areas, ecological development areas, and comprehensive use areas by combination of ecological sensitivity and ecosystem service bundles. The geodetector results indicated that the driving factors of each ecological function zone were significantly different. The natural factors significantly influenced the ecological restoration zone, while the normalized vegetation index and population density were the main influencing factors in the ecological conservation zone and the ecological development zone, respectively. Land use type was the main influencing factor in the ecological transition zone and the comprehensive use zone. The results could provide important support for coordinated regional social development and environmental protection.

PDF HTML阅读 XML下载 导出引用 引用提醒 全国重要生态功能区生物多样性保护成效区域对比评估 DOI: 10.5846/stxb202105081205 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(2016YFC0500204);国家自然科学基金(42001266) Regional comparative evaluation of biodiversity conservation effectiveness in National Important Ecological Function Areas Author: Affiliation: Fund Project: 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:国家重要生态功能区是国家主体功能区战略实施和生态保护红线划定的基础,关系到全国乃至全球范围的生态安全。开展大尺度生物多样性保护成效区域对比评估对促进物种栖息地科学管理、提升国家生物多样性保护水平具有较为重要的意义。本研究以2015年《全国生态功能区划》修编版划定的24个生物多样性保护生态功能区为研究对象,选取生态功能区内或邻近生态功能区的国家级自然保护区核心区作为参照区,利用InVEST模型计算多年参照区生境质量指数,并从中筛选出最大值,构建全国尺度的生境质量指数参照基准,在此基础上,采用空间叠加分析方法建立保护成效指数,定量分析了24个重要生态功能区生物多样性保护成效空间对比差异。研究结果表明:(1)基于参照基准的生物多样性保护成效区域对比评估方法可以较好地应用于全国尺度,全国重要生态功能区生境质量指数参照基准呈现明显的"西北低,东南高"的分布格局,而重要生态功能区生物多样性保护成效则表现出"西北高,东南低"的空间差异;(2)位于华东和华南地区的重要生态功能区生态环境本底状况较好,东北和华中地区的重要生态功能区居中,而西北和西南地区的重要生态功能区生态环境本底状况较差;(3)2015年西北和西南地区的重要生态功能区生境质量指数基本与参照基准持平,表现为生物多样性保护成效较好,华中和华南地区的重要生态功能区生境质量指数小幅度低于参照基准,体现保护效果居中,保护效果较差的重要生态功能区则位于东北与华东地区,其生境质量指数大幅度低于参照基准。通过对全国尺度重要生态功能区生物多样性保护成效区域对比评估,为进一步完善国家生物多样性保护成效的绩效考评机制和转移支付提供科学依据。 Abstract:National Important Ecological Function Areas are the basis of implementing national main function area strategy and drawing ecological protection red line, which closely linked to the ecological security on a national and even global scale. It is of great significance to promote scientific management of species habitat and improve the national biodiversity level by spatial comparative assessment of biodiversity conservation effectiveness. In this study, the 24 ecological function areas for biodiversity conservation, which originated from the revised version of the National Ecological Function Zoning during 2015, were used for spatial comparative assessment. The core area of the national nature reserve inside or nearest the ecological function area was selected as the reference area, and the multi-year habitat quality index of reference area were calculated based on the InVEST model. Then, the maximum value of the multi-year habitat quality index as the habitat quality index reference at the national scale. Ultimately, the conservation effectiveness index was established by spatial overlay analysis method, and the spatial comparison differences of biodiversity conservation effectiveness were quantitatively analyzed in 24 important ecological function areas at national scale. The results showed that:(1) the regional comparative evaluation method of biodiversity conservation effectiveness based on reference can be better applied to the national scale. The distribution pattern of habitat quality index showed "low in the northwest and high in the southeast" for the reference area, while the biodiversity conservation effect presented "high in the northwest and low in the southeast" in the important ecological function zones. (2) the ecological environment background (reference) of ecological function areas in the East China and South China was better than the Northeast and Central China, and the ecological environment background of ecological function areas in the Northwest and Southwest was the worst; (3) the total habitat quality index of important ecological function zones was almost the same as the reference in the Northwest and Southwest, in other words, the biodiversity conservation was more effectively in these zones. The habitat quality index of important ecological function zones in the Central China and South China was slightly less than the reference, reflecting the conservation effectiveness was negative in these zones. The ecological function areas with the worst conservation effectiveness were located in the Northeast and East China, and their habitat quality index were significantly less than the reference. The results of the biodiversity conservation effectiveness in ecological function areas of national scale can provide a scientific basis for further improving the performance evaluation mechanism and transfer payment for the biodiversity conservation effectiveness. 参考文献 相似文献 引证文献

Qinghai Province is an important part of the Qinghai-Tibet Plateau and has special importance in the construction of ecological civilisation in China, which is related to the ecological security of the country and long-term development. The land is the basis of terrestrial ecosystem services. Land use/cover change (LUCC) can alter the structure, distribution and processes of terrestrial ecosystems, thereby affecting ecosystem services. Ecological Function Zone (EFZ) is the special zone designated by the government to protect ecosystems more effectively. Studying the response of ecosystem services value (ESV) to LUCC within EFZ is of great significance to the construction of ecological civilization in Qinghai Province. This study uses five periods of land use data from 1980 to 2020 and selects the equivalent factor method, correction method and elasticity model to analyse the characteristics of land use change and its impact on the value of ecosystem services. The conclusions are as follows. (1) The results showed that the ESV of Qinghai Province decreased from 822.559 billion yuan in 1980 to 819.903 billion yuan in 2000, and then increased rapidly to 905.775 billion yuan in 2020, showing a total increase of 83.216 billion yuan (1 RMB equates to 0.144129 USD). The restoration of grassland and the expansion of water bodies are the main reasons for the growth of ESV. (2) The ESV of Sanjiangyuan EFZ was the highest, followed by Qaidam EFZ, Qinghai Lake EFZ and Qilian Mountains EFZ, while Hehuang EFZ was the lowest. (3) The elasticity of the ESV to LUCC generally declined in all EFZs. Every 1% change in the LUCC in the Qaidam EFZ will result in a 4.78% change in ESV, followed by the Sanjiangyuan EFZ (2.56%), Qilian Mountains EFZ (2.1%), Qinghai Lake EFZ (1.01%), and the Hehuang EFZ with the lowest elasticity index (0.53%). (4) The distribution of the high values of the ESV elasticity gradually expands, with a clear spatial distribution characteristic of high west and low east. (5) The most suitable area for urban construction in Qinghai Province is the Hehuang EFZ, and urban construction in the Qaidam EFZ should avoid encroaching on water bodies or polluting water sources. The conclusions can provide a reference for optimising the land use structure and harmonising conservation and development in Qinghai Province.