This study examined the specific influence of the uneven flow of scientific and technological talents on regional economic disparities within the Yangtze River Economic Belt, by utilizing a sample of 104 cities. The analysis employed individual fixed effects models and the Hansen threshold model, and focused on labor force heterogeneity. The findings were  as follows: (1)Linear regression results suggested that, unlike general labor force mobility, the uneven flow of scientific and technological talents had a subtle effect in narrowing regional economic disparities. (2)Against the backdrop of uneven flow of scientific and technological talents, measures of enhancing interregional economic connections, increasing the level of openness to the outside world, and advancing industrial structural upgrading could effectively promote the convergence of regional economic disparities. (3)Nonlinear regression results indicated that when Internet penetration and the level of real economic development were considered as threshold variables, the narrowing effect of the uneven flow of scientific and technological talents on regional economic disparities underwent a transition from "strong" to "very weak." In the context of the uneven flow and concentration of scientific and technological resources, these conclusions carried important policy implications for reducing regional economic disparities within the Yangtze River Economic Belt.

Promoting the construction of a zero-waste society is an important pathway to reduce solid waste pollution, alleviate resource constraints, and enhance ecological civilization, with significant practical significance in achieving harmonious coexistence between humans and nature. Based on data from 11 provinces and municipalities in the Yangtze River Economic Belt (YREB) from 2011 to 2020, an evaluation index system for a zero-waste society was constructed in five dimensions: solid waste reduction, solid waste recycling, solid waste harmless treatment, capacity building assurance, and public ecological awareness. Methods of subjective and objective weighting method, Dagum Gini coefficient, and QAP regression analysis were adopted to calculate and analyze the spatiotemporal differences in the zero-waste society of the YREB and its influencing factors. The results were as follows. (1) The zero-waste society level in the YREB showed a stable growth trend, but the overall level remained relatively low. Overall, the zero-waste society level in the YREB exhibited a spatial pattern of “downstream > upstream > midstream”. (2) From the perspective of subsystems, the level of solid waste reduction was the highest. The levels of solid waste recycling and harmless treatment were relatively high and showed an apparent increasing trend. The level of capacity building assurance experienced a significant growth in 2016 and remained stable thereafter. In general, the level of public ecological awareness was relatively stable. (3) The inter-regional differences in the zero-waste society of the YREB were the main cause of the overall differences. The differences between regions were specifically manifested in the significant spatial variations between downstream areas and other areas, with a certain tendency of expansion. (4) The key factors causing the spatially uneven development of zero-waste society in the YREB included the differences in regional openness, urbanization rate, population density, economic growth, industrial structure, and technological innovation.

Digital economy development and industrial structure upgrading are important driving forces to improve ecological efficiency. It is an urgent task to explore the mechanism of the impacts of digital economy development and industrial structure upgrading on the ecological efficiency of the Yangtze River Economic Belt (YREB). Based on data from 2008 to 2020, this study calculated the ecological efficiency by using the Super-efficient SBM model. Empirical tests were performed for the spatial spillover effect and non-linear matching relationship of the two effects on ecological efficiency by constructing the spatial econometric model and threshold model. The research indicated that: (1) the ecological efficiency of the YREB showed a slow growth trend, with a significant spatial difference; (2) The effects of digital economy development and industrial structure upgrading on ecological efficiency were significantly positive; (3) The digital economy development and the industrial structure upgrading had spatial spillover effects on ecological efficiency. The digital economy development had a positive effect on the ecological efficiency, but it had an inhibitory effect on neighboring areas; (4) The impact of digital economy development and industrial structure upgrading on ecological efficiency was restricted by each other. Only by mutual coordination, could the two enhance an ecological efficiency; （5）The impact of digital economy development and industrial structure upgrading on ecological efficiency had obvious regional heterogeneity. The effects in the middle and upper reaches were greater than those in the lower reaches. Therefore, according to the regional differences, the principles of the adaptation to local conditions and the interactive development should be considered. There was also a need to strengthen the linkage between the digital economy development and industrial structure upgrading, in order to improve the overall ecological efficiency of the YREB.

Industrial network is an important starting point to reflect the economic relations between cities. Urban agglomeration is an important carrying capacity of economic relations between cities. It is of great significance to clarify the spatial evolution characteristics and environmental effects of urban agglomeration industrial network for promoting the coordinated development, green development and sustainable development of urban agglomeration. Taking the urban agglomerations of Beijing-Tianjin-Hebei, the Yangtze River Delta and the Pearl River Delta as examples, this paper used ArcGIS spatial analysis and social network analysis to reveal the spatial evolution characteristics of the industrial network of the three major urban agglomerations, based on the enterprise investment behavior from 2011 to 2020. The spatial Durbin model was used to further explore the environmental effects of industrial networks. The findings were as follows: (1) The spatial pattern of industrial network in the Beijing-Tianjin-Hebei urban agglomerations was characterized by "one main axis, two centers and multiple vertices". The industrial network of the Yangtze River Delta urban agglomerations presented a spatial pattern of "one main and more auxiliary", and the phenomenon of "core-edge" and regional grouping were obvious. The spatial pattern of the industrial network of the Pearl River Delta urban agglomeration was characterized by "one main and two auxiliary", which gradually turned from "V" type to "inverted V" type. (2) The point entry degree of most central cities in the three major urban agglomerations was greater than the point exit degree, and the phenomenon of industrial agglomeration in central cities was obvious. (3) There was spatial heterogeneity in the environmental effect of enterprises' outbound investment. The outbound investment of enterprises in the Beijing-Tianjin-Hebei urban agglomerations significantly promoted the environmental governance of the region and its neighboring regions. The industrial network of the Pearl River Delta urban agglomerations had a significant spatial spillover effect on environmental governance, while the industrial network of the Yangtze River Delta urban agglomerations had no significant environmental effect. This research can provide decision-making reference for promoting the coordinated development of the three major urban agglomerations and the coordinated governance of the ecological environment.

Investigating the spatial differentiation of carbon balance at the urban cluster scale can provide scientific basis for the coordinated and sustainable development of urban cluster regions; Utilizing 42 cities within the Chengdu-Chongqing urban agglomeration as the research area, this study examined the economic contribution coefficients and ecological support coefficients of carbon balance for each city for 2005, 2010, 2015, and 2020. Furthermore, carbon balance zoning was conducted by employing the second-order clustering method; The regional ecological carbon balance exhibited an initial decline followed by an increase, displaying a spatial pattern of lower values in central areas and higher values in peripheral regions. On the other hand, the economic carbon balance followed a similar pattern of decreasing and then increasing, with the spatial characteristics of higher values in the western areas and lower values in the eastern areas. Based on the outcomes of clustering analysis, the 42 cities were categorized into four zones: carbon source optimization area, carbon sink optimization area, carbon balance economic compensation area, and carbon balance ecological compensation area. This classification formed the foundation for suggesting diverse optimization measures for carbon balance within these zones; The carbon balance within the Chengdu-Chongqing urban agglomeration exhibited distinct spatial differentiation features, compounded by existing ecological and economic barriers between Chengdu and Chongqing cities.

The establishment of national aquatic germplasm reserves is critical for encouraging harmonious cohabitation of man and nature, protecting national food security and preserving biodiversity. Under the background of the "ten-year ban on fishing in the Yangtze River", revealing the spatial distribution characteristics and driving factors of the national aquatic germplasm reserves can help protect the aquatic germplasm resources in the Yangtze River Basin effectively. The kernel density estimation approach was used in this research to investigate the spatial and temporal evolution characteristics of 231 national aquatic germplasm reserves in the Yangtze River Basin. On this premise, an optimal parameter-based geodetector was presented to optimally discretize the factors and discover the Yangtze River Basin's primary driving forces and mechanisms. The entropy weight approach was paired with K-means clustering to investigate the differentiation patterns of each prefecture-level city in terms of the density of reserves, physical geography, socio-economics, and environmental pollution and governance, in order to provide theoretical support for the development, construction, and management of aquatic germplasm reserves in China. The following were the primary conclusions: firstly, national aquatic germplasm reserves in the Yangtze River Basin were spatially aggregated, with a high degree of geographical concentration and a high degree of inter-regional imbalance, exhibiting a spatial distribution density evolution pattern of "single-core agglomeration-triple-core agglomeration-multi-polar multi-zone". Secondly, the national aquatic germplasm reserves in the Yangtze River Basin were developed as a result of a mix of natural environmental conditions and economic and societal influences. Natural environmental elements, economic and social considerations, played roles in the spatial aggregation pattern of reserves. Among which, economic and social factors had a greater impact. Thirdly, there existed diverse distribution features in the numerous prefecture-level cities in the Yangtze River Basin, which needed to be protected in differential ways.

Scientifically and objectively assessing the risk level of development and utilization of shoreline resources is the cornerstone for rational protection and development and utilization of shoreline resources. Based on the DPSIR model, the risk assessment index system of shoreline resource development and utilization was constructed. The subjective and objective weights of each index were calculated by the sequential relationship analysis method and the CRITIC method. The combined weights of indicators were calculated by the principle of game theory. The risk assessment model of shoreline resource development and utilization was constructed based on the set pair analysis theory. The spatial distribution characteristics of risks were analyzed by combining Moran′s I, cold and hot spot analysis. Finally, countermeasures for shoreline resource management and protection were proposed. Taking the Jiangsu section of the Yangtze River as a case study, the results indicated that the overall risk level of shoreline resource development and utilization was relatively low. Areas with higher risks were concentrated in the Jiangbei New Area and Qixia District of Nanjing, as well as the estuary of Suzhou. The spatial distribution of risk exhibited clear clustering, with hotspots found in the adjacent areas of Nanjing, Yizheng, and Zhenjiang, as well as the region around the estuary of the Yangtze River in Chongchuan District of Nantong and Suzhou Municipality. These areas were identified as the key regions for future risk management and control of shoreline resource development and utilization.Finally, based on the results of the risk assessment, strategies for the management and protection of shoreline resources in the Jiangsu section of the Yangtze River were proposed, in terms of optimizing the layout of ports and terminals, enhancing shoreline supervision, and strengthening shoreline ecological restoration.

Using advanced remote sensing technology to classify and map coastal wetlands is vital for wetland environment management and protection. Taking the core area of Yancheng National Rare Bird Nature Reserve, Jiangsu, as a typical area, the study obtained Sentinel-1 and Sentinel-2 time-series images of the critical period of vegetation growth (May to September) to composite monthly images on GEE platform. A total of 63 test sets were formed of five single month datasets and four multi-month datasets with different time spans using 7 different band combinations. Wetland classification mapping and comparative analysis were performed on each test set using the random forest method. The results showed that, compared to those that used only Sentinel-2 data in the visible and NIR bands, adding the SWIR bands could  significantly improve the classification results with an overall accuracy improvement over 8%. An overall accuracy improvement of about 5% was achieved by adding the red-edge band. Compared to those that used only Sentinel-2 spectral information, adding vegetation index and Sentinel-1 SAR information to wetland classification achieved the highest overall accuracy of 90.6%. Further, the experiments also verified that the classification effect of using multi-month time-series remote sensing data was better than that of using single month data. This research provided technical reference for wetland classification in regional scale with medium/high resolution remote sensing images.

In order to promote the balance between supply and demand of regional ecosystem services, this paper takes Dongting Lake Basin as the research object, explores the land use change and the evolution characteristics of ecosystem services based on the land use data in 2000, 2010 and 2020, and evaluates and predicts the spatio-temporal evolution pattern of ecosystem services supply and demand under different development scenarios in 2030 with the help of GeoSOS-FLUS and GM models. The results show that: (1) The most obvious characteristics of land use change in Dongting Lake Basin from 2000 to 2020 are the increase of construction land, the decrease of forest land and cultivated land area, and the overall supply of ecosystem services shows a downward trend, and the significantly reduced areas are mainly distributed in Dongting Lake, surrounding counties and cities of Changsha, Zhuzhou and Xiangtan, and some urban areas; (2) In 2030, grasslands and woodlands with high ecological value will continue to decrease, construction land will increase, and ecosystem services will be rapidly degraded in the whole region. In the ecological protection scenario, the land use pattern will be relatively stable, woodlands and waters will be on the rise, and the value of ecosystem services in Changsha-Zhuzhou-Xiangtan urban agglomeration and other cities will also be on the rise. (3) Under the three scenarios, the demand for ecosystem services in the lower reaches of the Yangtze-Zhuzhou-Xiangtan urban agglomeration and Dongting Lake eco-economic zone is relatively high, while the supply of ecosystem services in these areas is low and tends to deteriorate, and the pattern of supply and demand has obvious spatial mismatch characteristics.

Under the fiscal decentralization system,environmental regulation has become a strategic means of competition for mobile resources between regions. Cross-regional environmental regulation,however,lacks mandatory binding capabilities,and its utility and operational mechanisms remain to be further validated. This study focused on the regional coordinated development policy as a form of cross-regional environmental regulation. Utilizing panel data from 273 prefecture-level cities in China from 2007 to 2019,a two-way fixed-effects model with propensity score matching was employed for a difference-in-differences analysis. The empirical examination was used to investigate the impact and mechanisms of the regional coordinated development policy on carbon emissions. The results indicated that the policy significantly promoted the reduction of carbon emissions in cities,and this conclusion was valid after a series of robustness tests. Mechanism analysis suggested that the effects of regional coordinated development policy be achieved by encouraging cooperation and coordination among different cities,optimizing resource allocation,facilitating industrial upgrading,increasing investment in technological elements,promoting the research and application of low-carbon technologies,and improving energy efficiency to reduce carbon emissions. Heterogeneous analysis revealed that the policy effects varied with the heterogeneity of pilot cities in terms of population size and fiscal levels. Larger cities with greater population sizes demonstrated stronger competitive advantages in the development of low-carbon industries and the application of green technologies. Cities with higher fiscal expenditures,on the other hand,promoted the development of low-carbon industries by nurturing and introducing advanced low-carbon technologies,providing financial support and incentive measures,and allocating more funds to infrastructure construction. These enhanced the effectiveness of regional coordinated development policy in reducing carbon emissions.

This paper conducted study of soil particle composition,fractal characteristics and the changes in soil organic carbon in wetlands along the lower Yangtze River.This study will help understand the wetland soil structure,quality and the status of wetland carbon pools,and provide a theoretical basis for wetland ecological restoration.The results showed that: the wetland soils in the lake area were composed mainly of chalk (72.57%~80.16%),which was a powdery loam with a fine texture.Soil organic carbon content (13.62 ~23.80 g/kg) was significantly positively correlated with clay grains and negatively correlated with sand grains.The fractal dimension of soil bulk density in Caizi Lake wetland was mainly determined by the content of clay particles,with values ranging from high to low in the order of shallow water > bottom sediment > mudflat > grassflat > farmland.The generalized dimension spectrum D (q) was a decreasing function of the inverse "S" type,and D0 > D1 > D2,showing an uneven distribution.The correlation between multi-fractal parameters and soil particles was significant,but not so with organic carbon content,where the content of fine particles (powder and sticky particles) had a significant effect on the multiple fractal parameters of soil particle size distribution.The study showed that multiple fractal parameters could reveal the soil properties of the wetland of Caizihu,and suggested that wetland vegetation restoration and improved tillage measures be carried out to improve the soil structure.The conclusions of this study provided scientific references for wetland ecological restoration,aiming to a potential enhancement of wetland soil carbon sink capacity as well as an increase of the stability of carbon pools.

Runoff pollution caused by inappropriate land use has become an important factor constraining the improvement of water quality in urban rivers.The implementation of urban runoff pollution risk assessment and appropriate zoning control can provide new perspectives and ideas for water environment management.Based on the theory of the regional disaster system,the internal mechanism and the key factors affecting urban runoff water quality were explored,from the perspective of the whole process of runoff pollution disaster formation.Taking Hangzhou city as an example,a multi-dimensional urban runoff pollution risk assessment index system was constructed,including “the risk of disaster-causing factors,the sensitivity of disaster-prone environments,and the vulnerability of disaster-bearing bodies”.According to the evaluation results,the spatial distribution characteristics of runoff pollution risk were analyzed.The risk control areas of runoff pollution were divided,and the corresponding territorial space control strategies were proposed.The results showed that the risk of runoff pollution in Hangzhou city demonstrated a significant "center-periphery" decreasing trend.The risk types of "high-risk + high-sensitivity + high-brittleness" and "high-risk + high-sensitivity + low-brittleness" were mainly distributed in the residential and commercial areas at the city center,with a higher risk level of runoff pollution.The risk types of "low-risk + low-sensitivity + high-brittleness" and "low-risk + low-sensitivity + low-brittleness" were  mainly distributed in rural ecological space areas,with a lower risk level of runoff pollution.According to different types and levels of runoff pollution risk,and different characteristics of land use,the City was divided into four different types of territorial space control areas: stock renewal development area,limited development control area,key development planning area,and key ecological protection area.Corresponding control strategies were also proposed.

As an important modern manufacturing base in the middle of the Yangtze River Delta,Changzhou is one of the 25 monitored cities with severe air pollution .To investigate the pollution characteristics of water-soluble ions in atmospheric fine particulate matter (PM_2.5),PM_2.5 samples were collected in urban Changzhou for four months (spring (May 2020),summer (July 2020),autumn (September 2020),and winter (January 2021)).The mass concentration of PM_2.5 and water-soluble inorganic ions (WSIIs) were determined,and the chemical characteristics,seasonal differences and main sources of water-soluble ions were investigated by using the multiple-technique analysis,combined correlation analysis,HYSPLIT modelling and primary component analysis.The results showed that during the sampling period,the annual average concentration of PM_2.5 was 51.88 ± 20.47 μg/m³,which was 1.5 times higher than the annual average PM_2.5 concentration limit set by GB3095-2012.The seasonal ranking of PM2.5 concentration was in the order of winter > spring > summer > autumn.The annual averaged WSIIs was 24.37 ± 11.54 μg/m³.The relative contribution of WSIIs to PM_2.5 increased markedly in winter (56.24 %).NH₄⁺,NO₃^-,and Cl^- showed significant increases in winter,indicating the important influences from combustion emissions,vehicle emissions,and secondary sources.Sulfur oxidation rate (SOR) and nitrogen oxidation rate (NOR) analysis revealed that NOR (0.14 ± 0.07) was lower than SOR (0.40 ± 0.10),indicating a higher secondary conversion rate of SO₂ under the same atmospheric background.Seasonal disparity was found between SOR and NOR,indicating different dominant factors which affected the sulfate and nitrate formation,with SOR influenced by relative humidity and NOR by NH₄⁺ concentration and surrounding traffic sources.We conducted further analysis of characteristics of chemical compositions in different phases.From clean to pollution phase,SOR and NOR rose to a certain extent,suggesting a higher conversion rate of SO₂and NOx during pollution episodes.Comparison of the percentage contribution of ions in different pollution phases showed that SO₄^2- and Ca²⁺ were dominated during clean phase,while the increase of NO₃^- and NH₄⁺ contributed to the atmospheric pollution in Changzhou.This implied that nitrate and ammonia formation was potentially the predominant factor controlling the occurrence of PM pollution.Principal component analysis revealed that in winter,Changzhou was mainly influenced by combustion emissions (32.23%),vehicle emissions and secondary aerosols (29.97%),as well as soil sources (22.63%).In summer,the main influences were a mixture of secondary aerosols and combustion emissions (44.20%),soil and sea salt sources (23.51%),and industrial or combustion emissions sources.

The hourly average concentrations of PM_2.5 and O₃ in the three cities of the Chang-Zhu-Tan urban agglomeration (Changsha,Zhuzhou,and Xiangtan) were analyzed for both drought (July 1 to December 31,2022) and non-drought periods (corresponding periods in 2020 and 2021).The objective was to explore the impact of drought events on the intrinsic dynamic mechanisms of PM_2.5-O₃ compound pollution and its influencing factors.Initially,the diurnal patterns of PM_2.5 and O₃ concentrations during the study period were examined.It was observed that PM_2.5 concentrations followed an M-shaped diurnal variation pattern,with a decrease during the drought period and significant shifts in the timing of peaks and troughs.Conversely,O₃ concentrations showed a unimodal pattern of being higher during the day and lower at night,with an increase during the drought period.Subsequently,Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) was employed to investigate the multi-timescale characteristics of the cross-correlation between PM_2.5 and O₃.The results revealed significant long-term persistence and multifractal characteristics in the cross-correlation of PM_2.5 and O₃ across all cities and years,with a decrease in persistence indices and an increase in multifractal intensity during the drought periods.Furthermore,the sliding window method,MF-DCCA,and Granger causality tests were utilized to analyze the evolution and influencing factors of the long-term persistence characteristics of PM_2.5-O₃ cross-correlation.This study found that atmospheric pressure was the primary factor influencing the evolution of long-term persistence in PM_2.5-O₃ cross-correlation during the drought periods,while temperature and wind speed were the main factors during the non-drought periods.Finally,the Self-Organized Criticality theory (SOC) was applied to discuss the internal dynamic mechanisms of PM_2.5-O₃ cross-correlation during both drought and non-drought periods.The findings of this study provided a useful reference for coping with atmospheric composite pollution under the global warming condition.

The rapid process of urbanization and industrialization has intensified the competition of land resources among various stakeholders.The mutual transformation between “production-living-ecological” space (PLES) has become increasingly fierce,which caused fluctuations in the quality of regional eco-environment.Taking the upper reaches of the Yangtze River (URYB) as the research object,we quantitatively analyzed the transformation of the PLES and the eco-environmental effects.Five periods of land use remote sensing monitoring data from 1980 to 2020 were used.The transfer matrix and eco-environmental quality modeling methods were applied.The results showed that: (1) During the study period,the transformation of the PLES in the URYB was characterized by the rapid expansion of living space and industrial production space,and the reduction of agricultural production space and ecological space.The main type of transformation was between production space and ecological space.(2) The eco-environment quality slightly improved.The high-value areas were mainly distributed in the eastern and southwestern parts of the URYB,while the central and western parts formed a low-value area.(3) There existed both improving and deteriorating trends in eco-environment quality.The encroachment of industrial production space and other ecological space on forest land,grassland and other ecological space was the key factor leading to the deterioration of ecological environment quality.In the future,the eco-environment and economic development policies in the URYB should take into full consideration of the transformation of the PLES,promote the rationalization of the land use structure of the PLES,and build up an ecological security barrier in the URYB.

It is very important to clarify the characteristics and their influencing factors of the spatial and temporal pattern of transferred cultivated land in China for scientifically evaluating the ecological cost of transferred cultivated land,the effectiveness of the cultivated land requisition-compensation policy and optimizating the spatial distribution pattern of cultivated land.Based on the data of land use and socio-economic from 2000 to 2020,this study revealed the spatiotemporal differentiation characteristics and center of gravity changes of transferred farmland in China in the past 20 years.The differences in sources and key influencing factors of transferred farmland in different regions were explored,using the methods of center of gravity transfer analysis,spatial autocorrelation analysis,and multiple linear regression analysis.The results showed that: (1) the transferred farmland area was 21.252 million square hectares from 2000 to 2020,with an overall spatial pattern of "higher in the northeast and northwest,and less in the south".Moreover,the key point of transferred farmland was gradually transferred towards the northwest,with the western region being the most important area for transferred farmland; (2) In the past 20 years,forest land and grassland were the main sources of transferred farmland,accounting for 73.5% of the total transferred farmland.However,the sources of transferred farmland presented significant spatial imbalances at different stages; (3) The transferred farmland was comprehensively affected by natural conditions (temperature,slope),socio-economic factors (total power of agricultural machinery,added value of secondary industry,road network density),and regional policies (added value of forestry,added amount of construction land),whereas the key influencing factors showed significant differences among different regions.These results provided important guiding value for effectively managing and controlling the types of cultivated land transfer,optimizing cultivated land protection policies and system innovation.

This study used literature analysis,importance zoning method,trend surface analysis,hotspot zoning method,and geographic detectorto construct an evaluation index system for agricultural cultural services.The evolution laws were evaluated,and  the driving mechanism was revealed,in Hunan Wuling Ethnic Areas.The research results were as follows: (1) Between 2010 and 2020,the agricultural cultural service showed an upward trend.The index increased from 0.4137 to 0.6562,with an average annual growth rate of 5.86%.Promotion and education as well as the inheritance of agricultural culture were the core growth points (the annual growth rates were 10.88% and 15.17%,respectively).(2) The space distribution of the total service changed from "higher in the south and lower in the north,and two cores" to "higher in the surround,lower in the centre,and three cores",showing a great changes in the east-west direction.The sub-services were spatial imbalance and had varying change trends.The hot spots changed from "normal distribution" to "pyramidal mode ",and the multiple hot spots migrated and spread from south to north and east.(3) Agricultural cultural services in Hunan Wuling Ethnic Areas were influenced by various factors.Topographic features,market demand,economic development,and agricultural employment were found to be the dominant factors.These factors exhibited interactive effects,with the most pronounced synergistic enhancement between topography,land use,and economic development.(4) This study recommended management strategies of focusing on the development of advantageous services to achieve balanced growth,prioritizing the development of agricultural cultural resources in the eastern and northern regions,expanding the market demand,and paying attention to the synergistic effects of influencing factors.This research served as guidance,methodological references,and technical insights for related studies and contributed to the scientific management of agricultural cultural resources.

The filling stage of high-quality rice in Hubei Province is often completed under high temperature,which significantly reduces the quality and yield.Carrying out climate suitability zoning for high-quality rice and planning the reasonable grouting period of high-quality rice in different areas is a basic work for the development of high-quality rice.In this study,the daily meteorological data of 75 national meteorological observation stations in Hubei Province from 1991 to 2020 were used.The 5d sliding average method was adopted to determine the three types of suitable boundary dates of high temperature,gentle temperature,and suitable temperature for the filling stage of rice in different regions.Using the length of gentle temperature and suitable temperature cultivation period as the main index,the fuzzy clustering statistical method was used to complete the type of suitable cultivation period for high-quality rice in different regions in Hubei Province,and the impacts of different regions on high-quality rice were analyzed.The results showed that the seasonal distribution and duration of suitable cultivation period in different regions were different.The time suitable for quality rice irrigation in the whole region of Hubei Province was generally shorter,which was a major defect in the development of quality rice.The suitable cultivation period of high-quality rice in Hubei Province could be divided into four regions,which included the short season high-quality rice area in the mountainous areas of western Hubei,the high temperature and high light high-quality rice area in northwestern Hubei,the high temperature and short autumn high-quality rice area in central and eastern Hubei,and the high temperature and long autumn high-quality rice area in southeastern Hubei.The zoning map geographically presented a fish scale-like sub-distribution from southeast to northwest.Among them,the first two regions weresuitable and more suitable for high-quality rice.The differences in climate between different regions in the development of high-quality rice mainly attributed to the suitability for cultivation period.In conclusion,the quality of rice industry in Hubei Province should take heat resistance and heat avoidance and regional rational layout as the focus of the technological development.