Optimizing zoning for ecological management in alpine region by combining ecosystem service supply and demand with ecosystem resilience.

In order to enhance ecosystem stability and promote sustainable regional ecological, social, and economic development, it is crucial to explore the coupling relationship between ecosystem service supply and demand and the resilience of ecosystem, so as to propose scientific ecological management zones and strategies. Taking the vulnerable alpine ecosystem in Gannan Tibetan Autonomous Prefecture (Gannan Prefecture) as the study area, this paper comprehensively utilized multi-source data, grid analysis, ecosystem service supply and demand estimation model, and coupled coordination model to analyze the spatio-temporal differentiation and coordination pattern of ecosystem service supply and demand in the study area from 2000 to 2020. With the assistance of the Analytic Hierarchy Process (AHP), the ecosystem resilience index system was constructed to evaluate the regional ecological resilience. The results reveal the following: (1) In the past 20 years, the ecosystem service supply and resilience in Gannan Prefecture showed a fluctuating upward trend, and the demand continued to grow steadily. Their spatial differentiation were obvious, but the pattern remained stable. (2) There was a moderate incoordination indicated by the average coordination degree of the supply and demand coupling of ecosystem services, which rangeed between 0.3 and 0.4. (3) Gannan Prefecture was split into three ecological management zones, considering the spatial distribution of ecosystem service supply and demand, as well as resilience. Through system function monitoring and other measures, the ecological conservation zone will rely on its high resilience to support the restoration and self-sufficiency of the system, ensuring the stability and well-being of the ecosystem. The primary objectives of general protected zone includes environmental preservation, strict regulations, and the prevention of human intervention. To enhance their ecological background, key restoration zone must intensify the implementation of ecological restoration initiatives. To address the needs of the locals, strategies such as ecological compensation, optimizing the land use structure, and fostering the growth of environmentally friendly companies can be implemented simultaneously.

Time series analysis of PM2.5 pollution risk based on the supply and demand of PM2.5 removal service: a case study of the urban areas of Beijing.

Demonstrating the temporal changes in PM2.5 pollution risk in regions facing serious PM2.5 pollution problems can provide scientific evidence for the air pollution control of the region. However, research on the variation of PM2.5 pollution risk on a fine temporal scale is very limited. Therefore, we developed a method for quantitative characterizing PM2.5 pollution risk based on the supply and demand of PM2.5 removal services, analyzed the time series characteristics of PM2.5 pollution risk, and explored the reasons for the temporal changes using the urban areas of Beijing as the case study area. The results show that the PM2.5 pollution risk in the urban areas of Beijing was close between 2008 and 2012, decreased by approximately 16.3% in 2016 compared to 2012, and further decreased by approximately 13.2% in 2021 compared to 2016. The temporal variation pattern of the PM2.5 pollution risk in 2016 and 2021 showed significant differences, including an increase in the number of risk-free days, a decrease in the number of heavily polluted days, and an increase in the stability of the risk day sequence. The significant reduction in risk level was mainly attributed to Beijing's air pollution control measures, supplemented by the impact of COVID-19 control measures in 2021. The results of PM2.5 pollution risk decomposition indicate that compared to the previous 2 years, the stability and predictability of the risk variation in 2016 increased, but the overall characteristics of high risk from November to February and low risk from April to September did not change. The high risk from November to February was mainly due to the demand for coal heating during this period, a decrease in PM2.5 removal service supply caused by plant leaf fall, and the common occurrence of temperature inversions in winter, which hinders the diffusion of air pollutants. This study provides a method for the analysis of PM2.5 pollution risk on fine temporal scales and may provide a reference for the PM2.5 pollution control in the urban areas of Beijing.

Evaluating community-embedded elder care: A case study of supply and demand in Hangzhou, China.

INTRODUCTION: With China's urbanization and demographic shifts significantly affecting elder care, this study examines the alignment of community-based elder care services in Hangzhou's Hemu Community. It addresses the gap in understanding how these services meet the needs of an aging population in a rapidly changing social context. METHODS: A comprehensive mixed-methods approach was utilized, involving interviews with community residents, observations of elder care service operations and thorough document analysis. The objective was to evaluate the adequacy, utilization and satisfaction levels concerning these elder care services. RESULTS: The research identified that, although the services generally meet the community's needs, there are notable challenges in content specificity, quality assurance and promotional efforts. These challenges lead to resistance among older adults. Additionally, issues with service visibility and the lack of robust feedback mechanisms were noted. CONCLUSION: This study highlights the critical need for a cooperative strategy involving government, community organizations, social entities and businesses in enhancing elder care services. It suggests that improvements in service visibility, content quality and targeted promotion are crucial to address the evolving needs of the aging population and to reduce reluctance in service utilization.

Identifying carbon sequestration's priority supply areas from the standpoint of ecosystem service flow: A case study for Northwestern China's Shiyang River Basin.

Finding important supply areas helps maintain the ecological security of the region and promotes the creation of healthy ecosystems. By considering the ecosystem service flows (ESF), priority provisioning area studies can be approached from a new perspective. This study describes the real supply in terms of flows. The goal was to reveal the priority-ranked supply pattern of ecosystem carbon sequestration services (ECSS) in the Shiyang River Basin (SRB). First and foremost, soil respiration models and Carnegie-Ames-Stanford Approach (CASA) model were used to examine the supply of ECSS, and a combination of natural and human factors was used to determine the demand for ECSS. Second, Python was used to illustrate the ECSS flow trajectories and flows. Lastly, and utilized in conjunction with System Conservation Planning (SCP) to determine supply regions of importance. The results show that, first, the spatial distribution of ECSS supply and demand clearly demonstrates heterogeneity. This is reflected in the spatial characteristics of supply, which are "high in the south and low in the north," and demand, which is "high in the urban areas and low in the suburbs." Second, the middle and lower portions of the basin, where there is little precipitation and little vegetation, are home to the majority of the locations with poor carbon sequestration fluxes. These areas accounted for almost 60 % of the entire watershed area over time. Third, the first priority area of ECSS occupies 19.3 % of the basin's total area, while the second priority area occupies 21.46 %. For the major supply regions, strict ecological protection laws must be implemented going forward in order to ensure the ability to sustain ECSS supply. The long-term growth of SRB as well as ecological and environmental management can benefit from this research's foundational role in policymaking.

Construction of carbon sequestration ecological network in Linyi City based on supply and demand of ecosystem service.

The increasing carbon emissions is one of the important reasons for global warming. As a key area of carbon emissions, carbon sequestration capacity of cities is urgently needed to be improved. Carbon sequestration ser-vices can be transferred between supply and demand areas due to the circulation of atmosphere. With Linyi City as an example, we used the minimum cumulative resistance model to extract the matching path of supply and demand, and constructed a carbon sequestration ecological network. The results showed that the regions with high supply of carbon sequestration services were located in the north and south of the study area, and that current total supply could solve about 60% of the total demand. Although the spatial distribution of supply and demand was uneven, 54% of the areas that could meet the surrounding carbon sequestration demand were still idle. The optimized supply-demand matching paths could maintain good transmission efficiency of material and energy, with lower costs. Paths with strong potential carbon sequestration capacity were located in the central and northwest part of the research area. In the construction of carbon sequestration ecological network, it is necessary to strengthen the protection and restoration of the supply side of carbon sequestration services, realize carbon reduction and strengthen carbon sequestration on the demand side, and optimize the matching path of supply and demand. This method provided services to the demand areas through the oversupply of ecosystem services, optimized the overall resource allocation, which could advance regional carbon sequestration capacity.

Water scarcity in the Kingdom of Saudi Arabia.

Saudi Arabia (SA) is one of the world's arid, most water-scarce nations without permanent water resources. The purpose of this article is to provide a comprehensive overview of Saudi Arabia's water resources availability and reliability in terms of water supply, demand, and the major challenges that water faces. Saudi has an annual water supply of roughly 89.5 m3 per person as consumption is rising in parallel with the country's rapid population growth and development. SA produces the most desalinated seawater in the world, accounting for 22% of worldwide consumption. Due to changes in agricultural demand, Saudi Arabia's overall water needs in 2020 were 15.98 BCM. Apart from agricultural use, the food industry utilizes up to 80% of freshwater supplies, with only around 20% of rain recharging the aquifer, meaning that the region will still be water-stressed by 2025. In addition to wastewater reuse, water expenses should be split between private investors and the government, and water losses in cities should be collected and recycled. Water development projects must also be safeguarded and have long-term viability for the community's future and well-being. Despite previous conservation efforts (public awareness campaigns, television and other public media messages, drip irrigation, and so on), more work is required, including improving water resource infrastructure, implementing environmental use of friendly technologies, and increasing economic feasibility, social acceptability, and management in light of the Sustainable Development Goals (SDG).

The economic effect of financial compensation in China's healthcare system: comprehensive insights regarding supply and demand factors.

OBJECTIVES: We aim to analyse the effects of government subsidies on residents' health and healthcare expenditure from the perspectives of supply and demand. DATA AND METHODS: According to the regional division adopted in the data query system of the National Bureau of Statistics, this study divides 31 provinces and cities into three regions: eastern, central, and western. The data used are from public databases, such as the "China Statistical Yearbook," "China Health Statistical Yearbook," and "Government Final Account Report". In this study, mathematical model derivation is used to construct a fixed effects model, and an empirical study based on cross-sectional data and general linear regression is conducted. To prevent endogeneity issues, this study introduces instrumental variables and uses 2SLS regression to further analyse the output results. RESULTS: For every 1% increase in supplementary funding on the supply side, the perinatal mortality rate decreases by 1.765%, while for every 1% increase in financial compensation on the demand side, per capita outpatient expenses increase by 0.225% and per capita hospitalization expenses increase by 0.196%. Regarding medical resources, for every 1% increase in the number of beds per 1,000 people, per capita hospitalization expenses decrease by 0.099%. In the central and eastern regions, where economic levels are higher, supply-side government funding is more effective than demand-side funding. In contrast, demand-side funding is more effective in the western region. CONCLUSIONS: The roles of multiple influencing factors and significant regional heterogeneity are clarified. Increasing financial compensation to providers positively impacts perinatal mortality but leads to higher per capita outpatient and hospital expenditures. Finally, this study provides targeted policy recommendations and solid theoretical support for policymakers.

Research Progress and Clinical Value of Subendocardial Viability Ratio.

Cardiovascular disease remains the leading cause of morbidity and mortality worldwide, with ischemic heart disease being a major contributor, either through coronary atherosclerotic plaque-related major vascular disease or coronary microvascular dysfunction. Obstruction of coronary blood flow impairs myocardial perfusion, which may lead to acute myocardial infarction in severe cases. The subendocardial viability ratio, also known as the Buckberg index, is a valuable tool for evaluation of myocardial perfusion because it reflects the balance between myocardial oxygen supply and oxygen demand. The subendocardial viability ratio can effectively evaluate the function of the coronary microcirculation and is associated with arterial stiffness. This ratio also has potential value in predicting adverse cardiovascular events and mortality in various populations. Moreover, the subendocardial viability ratio has demonstrated clinical significance in a range of diseases, including hypertension, aortic stenosis, peripheral arterial disease, chronic kidney disease, diabetes, and rheumatoid arthritis. This review summarizes the applications of the subendocardial viability ratio, its particular progress in the relevant research, and its clinical significance in cardiovascular diseases.

Dynamic optimization of battery recycling e-platforms under non-equalizing supply and demand: Recycling price and service commissions.

With the rapid advancement of electric vehicles (EVs), the burgeoning increase in used power batteries necessitates the development of efficient battery recycling e-platforms. A key challenge in this field is the mismatch between supply and demand. In response, a dynamic optimization model is proposed to capture the non-equalizing supply-demand relationship and its linkage over continuous periods to enable dynamic simulations and predictions of transaction volume changes. Meanwhile, pricing and commission-setting strategies are optimized based on the objectives of maximizing social welfare and platform revenue. The result shows that due to the lower recycling volumes that result, increasing the recycling price usually increases platform revenues, exacerbates environmental costs, and leads to lower social welfare. Moreover, platform revenues are more sensitive to commission rates than social welfare, which is more vulnerable to recycling prices. Furthermore, prioritizing social welfare leads to a higher recycling volume compared to prioritizing revenue, but it also creates an imbalance between supply and demand, destabilizing the recycling market. With the dynamic pricing and commission strategies, this study enriches the literature in the third-party recycling mode for power batteries, offering a novel perspective that is more aligned with real-world operational conditions. Our findings help platforms clarify the impact of pricing and commission decisions on platform revenue and social welfare and thereby provide support for their decision optimization.

In-depth reasons for the high proportion of zero-dose children in underserved populations of Ethiopia: Results from a qualitative study.

Increasing attention is being given to reach children who fail to receive routine vaccinations, commonly designated as zero-dose children. A comprehensive understanding of the supply- and demand-side barriers is essential to inform zero-dose strategies in high-burden countries and achieve global immunization goals. This qualitative study aimed to identify the barriers for reaching zero-dose and under-immunized children and what and explore gender affects access to vaccination services for children in Ethiopia. Data was collected between March-June 2022 using key informant interviews and focus group discussions with participants in underserved settings. The high proportion of zero-dose children was correlated with inadequate information being provided by health workers, irregularities in service provision, suboptimal staff motivation, high staff turnover, closure and inaccessibility of health facilities, lack of functional health posts, service provision limited to selected days or hours, and gender norms viewing females as responsible for childcare. Demand-side barriers included religious beliefs, cultural norms, fear of vaccine side effects, and lack of awareness and sustained interventions. Recommendations to increase vaccination coverage include strengthening health systems such as services integration, human resources capacity building, increasing incentives for health staff, integrating vaccination services, bolstering the EPI budget especially from the government side, and supporting reliable outreach and static immunization services. Additionally, immunization policy should be revised to include gender considerations including male engagement strategies to improve uptake of immunization services.

Research on the security of natural gas supply and demand in China under the dual carbon target.

The security of natural gas supply is not only an important part of China's energy security, it also serves as a basic guarantee for China to achieve its dual carbon target and energy transition. Therefore, it is very important to conduct research on the security of China's natural gas supply and demand in the context of the dual carbon target. This paper develops a system dynamics (SD) model for natural gas demand forecasting and a generalized Weng's model for production forecasting to predict China's natural gas demand and production under different scenarios during 2022-2060, and then analyzes China's natural gas supply and demand situation and potential import and external dependence based on the forecast results. The simulation results show that (1) under the two demand scenarios D1 and D2, China's natural gas demand will peak at 766.02 billion m3 in 2046 and 708.07 billion m3 in 2036 and decline to 521.65 billion m3 and 278.99 billion m3 in 2060 respectively; (2) under the two production scenarios S1 and S2, China's natural gas production will peak at 344.581 billion m3 in 2042 and 366.341 billion m3 in 2043 and decrease to about 250 billion m3 in 2060; (3) before 2035, the security of natural gas supply in China will face a challenging situation, the total volume of potential gas imports will gradually increase to about 350 billion m3, and China's dependence on natural gas imports will exceed 50%; after 2035, the progress of China's energy transition will improve the security of its natural gas supply. This paper proposes four recommendations for expanding gas demand in the near to medium term, promoting conventional and unconventional gas production, diversifying import channels and building emergency reserves to ensure China's gas supply security and enable gas to play a "bridging" role in the energy transition.

Exploring the supply and demand imbalance of carbon and carbon-related ecosystem services for dual­carbon goal ecological management in the Huaihe River Ecological Economic Belt.

The measurement of carbon and carbon-related ecosystem services (CCESs) has garnered considerable global attention, primarily due to dual­carbon goals, which are crucial for the rational allocating of ecosystem service (ES) resources and the enhancement of terrestrial carbon sinks. This study developed a novel research framework on CCESs to quantitatively measure carbon storage (CS), food production (FS), habitat quality (HQ), soil conservation (SC), and water yield (WY), and examined the spatiotemporal patterns of the supply-demand and trade-off/synergy processes related to CCESs in the Huaihe River Ecological Economic Belt (HREEB). The findings are as follows: (1) From 2000 to 2020, the supply-demand of the CCESs generally increased, except for carbon storage and food demand. Overall, the supply level of the CCESs exceeds the demand level, with a median ratio of supply and demand ratio (ESDR) of 1.13. (2) During the study period, the synergy relationship of the CCESs is mainly determined by the supply side of the CS-HQ and CS-SC, while on the demand side, it is determined by the CD- FD. And the ESDR of all C-related ecosystem services showed a significant synergy strengthening with CS in the HREEB. (3) Spatially, "high-low" spatial matching of the ESDR decreased, suggesting a gradual reduction in the spatial mismatch of CCESs. (4) We identified seven ecological functional zones and proposed corresponding strategies for promoting ecological management. Our research emphasized the spatiotemporal patterns of supply and demand imbalance in CCESs and the spatial optimization paths of trade-offs/synergies, providing valuable insights for achieving regional dual­carbon goals.

Assessing grassland cultural ecosystem services supply and demand for promoting the sustainable realization of grassland cultural values.

Grasslands deliver essential provisioning and regulatory ecosystem services, concomitantly with indispensable cultural services that merit profound consideration. However, grassland cultural ecosystem services (GCES) face a conspicuous knowledge lacuna due to the lack of a unified research framework and quantitative methodology. This study endeavors to fill this gap by quantifying the potential supply and actual demand of GCES, concurrently scrutinizing spatial congruencies and disparities between GCES supply and demand in Inner Mongolia Autonomous Region (IMAR), China. To achieve this, we integrated social survey data, Point of Interest (POI) data, social media data, the Social Values for Ecosystem Services (SolVES) model and GIS Getis-Ord Gi* statistical analysis. Our analysis unveiled grid-scale spatial patterns of GCES supply and demand, furnishing a nuanced high-low ranking of GCES. It transpired that scenic travel holds the highest potential supply of GCES with a high-value area proportion of 46.0 %, while grassland recuperation ranks the lowest. Notably, road accessibility emerged as the most crucial factor influencing GCES patterns. Furthermore, we observed a substantial misalignment in the GCES supply-demand relationship, with 65.99 % of IMAR experiencing excess supply compared to demand and only 20.66 % achieving equilibrium. At a 95 % significance level, hot spots (excess supply) and cold spots (excess demand) accounted for 26.03 % and 22 %, respectively. We propose targeted suggestions that regions with oversupply of GCES should channel efforts toward augmenting road accessibility, whereas regions grappling with excess demand should prioritize the judicious allocation of resources to avert surpassing the environmental carrying capacity. Our study furnished insights for decision-makers to formulate sustainable development plans pertaining to grassland culture.

The impact of local supply of popular contraceptives on women's use of family planning: findings from performance-monitoring-for-action in seven sub-Saharan African countries.

Contraceptive use has substantial implications for women's reproductive health, motivating research on the most effective approaches to minimize inequalities in access. When women prefer to limit or delay fertility but are not using contraception, this potentially reflects demand for contraception that is not being satisfied. Current literature emphasizes a nuanced integration of supply and demand factors to better understand this gap. In this research, we examine the interconnectedness of supply and demand factors both conceptually and methodologically by augmenting existing measures of local supply with a demand-side factor-community-level preferences for contraceptive methods. Using novel data from Performance Monitoring for Action (PMA) in seven sub-Saharan African countries, we test whether the available supply of locally preferred methods at nearby service delivery points (SDP) explains variation in women's uptake of contraception beyond the more typical measure of contraceptive stockouts. Findings from logistic regression analyses (N = 32,282) suggest that demand and supply can be understood as tightly interconnected factors which are directly affected by local social preferences. The odds of women using modern contraception increase significantly when locally preferred methods are available, and this is true even after controlling for the availability of methods in general. The new measure tested in this research centers women and their specific desires in a manner consistent with the promotion of contraceptives as an important human right.

Association between UGS patterns and residents' health status: A report on residents' health in China's old industrial areas.

BACKGROUND: Old industrial areas have low quality and spatial differentiation of urban green space (UGS), which makes it difficult to meet the public's physical activity needs and leads to increased health risks. The purpose of this study is to explore the equity of UGS patterns in old industrial areas and its internal relationship with residents' health status. METHODS: This study selecteds relevant indicators to evaluate the equity of UGS patterns in the Harbin area and used linear regression analysis to explore the correlation between attributes of old industrial areas and UGS patterns. Additionally, this study explored the spatial correlation of UGSs using Moran's index and hotspot analysis. Finally, a report on residents' health was generated through a questionnaire survey, using linear regression analysis to explore the factors affecting residents' self-rated health and the significance of their correlation. RESULTS: The results showed that there is an excess supply around the core industrial zone in the west, while the rural areas in the south face a serious shortage of supply. The significance between the factors representing age and income in industrial attributes and UGS pattern was less than 0.05. We observed that residents' self-rated health was positively affected by the intensity of physical activity (low intensity B = 2.073, medium intensity B = 2.359, high intensity B = 2.512) and the frequency of physical activity (B = 1.174). Ages (B = -0.597) and three generations living together (B = -3.191), which represent the industrial attributes, had a negative impact on residents' self-rated health. CONCLUSION: To a certain extent, industrial attributes aggravate the mismatch of UGS patterns, leading to abnormal areas in spatial clustering. The quality of UGS in the old industrial zone is low and the movement is not strong; thus, the population characteristics and income have become the important factors affecting the health of residents.

Mismatch between infrastructure supply and demand within a 15-minute living circle evaluation in Fuzhou, China.

Rapid urbanization has gradually increased the contradiction between the demand and supply of urban resources. The quantitative optimization and adjustment of the infrastructure of the 15-min living circle is conducive to the scientific formulation of living circle planning guidelines, and also allows the evaluation of the effectiveness and practicality of policies. We investigate the spatial allocation pattern of infrastructure construction, the actual service capacity of facilities, and the spatial matching of facility service supply and residents' demand from the spatial dimension. Taking Fuzhou City as an example, this study uses multi-source network big data to accurately quantify the supply and demand, and constructs a 15-min living circle facility service supply evaluation system based on the kernel density analysis method, the network analysis method, and the supply and demand matching model. We propose infrastructure enhancement strategies in conjunction with the current status of Fuzhou's urban development. This study also further explores the factors influencing the spatial distribution of basic service facilities and the construction status of community living circles in China. The results show that (a) The distribution of infrastructure presents a different spatial distribution pattern from the actual service supply within the living circle. (b) The infrastructure service in the main area of Fuzhou can basically cope with the demand of residents, but there is still a mismatch between supply and demand. The areas with insufficient supply are mainly distributed in the periphery of the study area. (c) In order to further improve the construction of community living circle, we should first focus on the sub-districts with low service supply level and insufficient supply. According to the specific distribution of facilities, the number of public service facilities should be increased or decreased based on the demand of residents. This paper enriches the practical application of multi-source network big data in urban infrastructure construction, provides a guideline for the spatial layout and resource allocation of infrastructure in 15-min living circles in other cities.

Integrating climate change adaptation policies in spatial development planning in hyperarid regions of Kerman province, Iran.

In recent years, lifestyle changes and urbanization of societies, as well as macro-environmental changes, i.e. climate changes (CCs), have caused changes in the land spatial structure and the transfer of resources between different economic sectors of the land. The development of long-term spatial development plans (SDPs) needs to be compatible with CCs, especially in hyperarid areas with low supplies and high demands. In this research, machine learning methods; including Cellular Automata (CA), Random Forest (RF) and regression models through PLUS model were used to simulate the amount of supplies and demands based on land cover (LC) maps during the years 2000, 2010 and 2020 in the hyperarid areas of Kerman, Iran. Then, the best predicted model (Kappa = 0.94, overall accuracy = 0.98) was used to simulate changes in LC classes under climate change scenarios (CCSs) for 2050. The results showed the efficiency of machine learning in simulating land cover changes (LCCs) under CCSs. Findings revealed that SDPs of these areas are not compatible under any possible consideration of CCSs. The modeling results showed that spatial development plans under CCSs is not environmentally efficient and there is no compatibility between supplies, based on agricultural lands, and demands, based on increased population, by 2050. Overall, under the scenario of RCP 8.5, man-made, agriculture and natural LC classes with 106.9, 2.9, and 18.6% changes, respectively, showed the greatest changes compared to 2020. Population control, adjustment of infrastructures, and changes in LC plans can reduce socio-economical and socio-environmental problems in the future of hyperarid areas to some extent.

Vapour pressure deficit was not a primary limiting factor for gas exchange in an irrigated, mature dryland Aleppo pine forest.

Climate change is often associated with increasing vapour pressure deficit (VPD) and changes in soil moisture (SM). While atmospheric and soil drying often co-occur, their differential effects on plant functioning and productivity remain uncertain. We investigated the divergent effects and underlying mechanisms of soil and atmospheric drought based on continuous, in situ measurements of branch gas exchange with automated chambers in a mature semiarid Aleppo pine forest. We investigated the response of control trees exposed to combined soil-atmospheric drought (low SM, high VPD) during the rainless Mediterranean summer and that of trees experimentally unconstrained by soil dryness (high SM; using supplementary dry season water supply) but subjected to atmospheric drought (high VPD). During the seasonal dry period, branch conductance (gbr ), transpiration rate (E) and net photosynthesis (Anet ) decreased in low-SM trees but greatly increased in high-SM trees. The response of E and gbr to the massive rise in VPD (to 7 kPa) was negative in low-SM trees and positive in high-SM trees. These observations were consistent with predictions based on a simple plant hydraulic model showing the importance of plant water potential in the gbr and E response to VPD. These results demonstrate that avoiding drought on the supply side (SM) and relying on plant hydraulic regulation constrains the effects of atmospheric drought (VPD) as a stressor on canopy gas exchange in mature pine trees under field conditions.

Regionalization and optimization strategy of ecological management in Xinjiang, China based on supply-demand relationship and spatial flow of ecosystem services.

As an important basis for the optimization of territorial space, ecological management zoning is of great significance for maintaining regional ecological security and promoting the construction of ecological civilization. With 10 ecosystem services, such as wind break and sand fixation, water conservation, and forest and grass supply, we built a supply index system for Xinjiang. Modelling and ecological economics methods were used to quantify ecosystem service supply. Ecosystem service demand of Xinjiang in 2020 was quantitatively assessed by combining land use intensity, population, and economic status. Based on the ecosystem service supply-demand ratio model and quadrant matching method, we explored the matching relationship and spatial differentiation of ecosystem ser-vice supply and demands on the 1 km grid scale. The breaking point formula and field intensity formula were used to evaluate the flow range and intensity of ecosystem services, and then ecological management zones were divided and corresponding control measures were proposed. The results showed obvious spatial differences in the supply and demand of ecosystem services in Xinjiang in 2020. The high-supply areas were mainly distributed in river valleys and along river systems, while the demand was concentrated in oasis-central cities. The overall supply of ecosystem services was less than the demand. The spatial distribution was dominated by low supply-low demand areas and high supply-high demand areas. There were seven output zones of ecosystem services in Xinjiang, namely Fuyun County, Fuhai County, Yizhou District, Shanshan County, Alashankou City, Keping County and Qira County. The rests were input zones. According to the comprehensive analysis, Xinjiang could be divided into five ecological management areas, i.e., mountain ecological barrier area, oasis ecological restoration area, desert ecological improvement area, desert-oasis ecological protection area, and patch ecological transport area.

Connotation of urban ecological quality and the construction of its core index system.

Urban ecological quality is a necessary attribute for a healthy urban ecological state. In the period of urban development from large-scale incremental construction to stock improvement and quality transformation and incremental structural adjustment, there are many gaps between urban ecological quality construction and the requirements of the new stage. There is an urgent need to understand and integrate multiple needs, and construct an indicator system to promote the balance between supply and demand of ecological resources and efficient use to enhance urban ecological quality. We used the analysis methods of CiteSpace literature analysis, relevant policy collation and questionnaire survey to systematically sort out the key points of concern and differences in understanding among the three perspectives of science, government, and the public. The results showed that all the three perspectives, i.e., science, government, and public, were more concerned with indicators related to urban green space, gray infrastructure, and policy control. The concerns of science and public addressed indicators related to urban green space the most, while government being most concerned with indicators related to gray infrastructure. Based on those findings, we developed a core urban ecological quality index system with a total of 25 indicators, covering 10 major types of urban green space, environmental quality, gray infrastructure, and so on.