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[Objective] Simulating the change of runoff and sediment changes in the watershed under the influence of land use and climate in the future is conducive to making suitable management plans. [Methods] Based on land use and meteorological data, combined with CMIP6 climate model data, PLUS model and SWAT model, the temporal and spatial changes of land use and runoff and sediment under different climate scenarios in 2030 were quantitatively simulated. [Results] (1) The SWAT model exhibited good accuracy in monthly scale in simulation of Minjiang River Basin, in which the R2 and NSE (Nash-Sutcliffe Efficiency) ranged from 0.80 to 0.95 and 0.75 to 0.91, respectively. The R2 and NSE ranged from 0.75 to 0.98 and 0.64 to 0.94 respectively. (2) Using the land use data of 2020 to evaluate the accuracy of the PLUS model, the Kappa coefficient was 0.77, and the simulated construction land and cultivated land in the Minjiang River Basin in 2030 would increase by 325.64 km2 and 1 157.51 km2, respectively. (3) Under the SSP2-4.5 and SSP5-8.5 scenarios, the average precipitation in 2025—2035 would increase by 0.15% and 2.18%, and the average annual temperature would increase by 0.23 and 0.62 ℃, respectively. (4) In the low carbon and high carbon scenarios, only land use change led to an increase of 0.08% and 0.07% in annual mean runoff, and an increase of 0.24% and decreased of 0.05% in annual mean sediment transport, respectively, compared with the baseline period. Compared with the baseline period, the mean annual runoff decreased by 4.76% and 4.11%, and the mean annual sediment transport increased by 18.12% and 0.13%, respectively. The combined effects of land use and climate resulted in a decrease of 4.57% and 3.93% in annual average runoff and an increase of 18.28% and 0.33% in annual average sediment transport compared with the base period, respectively. (5) Under the scenario of future climate and land use comprehensive change, the areas with higher and larger increase in surface runoff and sediment yield were concentrated in the northwestern of the basin centered on Shaowu City in Nanping and the southwest of the basin centered on Jiangle County in Sanming. [Conclusion] These research results provide some reference for the reasonable development and construction of Minjiang River basin in the future.

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The Minjiang River is an important first-level tributary of the Yangtze River. Understanding the driving factors of water quality variations in the Minjiang River is crucial for future policy planning of watershed ecology protection of the Yangtze River. The water quality of the Minjiang River is impacted by both meteorological factors and anthropogenic factors. By using wavelet analysis, machine learning, and Shapley analysis approaches, the impacts of meteorological factors and anthropogenic factors on the permanganate index (CODMn) and ammonia nitrogen (NH3-N) concentrations at the outlet of the Minjiang River Basin were quantified. The observed CODMn and NH3-N concentration data in the Minjiang River from 2016 to 2020 were decomposed into long-term trend signals and periodic signals. The long-term trends in water qualities showed that anthropogenic factors were the major driving factors, accounting for 98.38% of the impact on CODMn concentrations and 98.18% of the impact on NH3-N concentrations. The periodic fluctuations in water qualities in the Minjiang River Basin were mainly controlled by meteorological factors, with an impact of 68.89% on CODMn concentrations and 63.94% on NH3-N concentrations. Compared to anthropogenic factors, meteorological factors have a greater impact on water quality in the Minjiang River Basin during both the high-temperature and rainy seasons from July to September and during the winter from December to February. The separate quantification of impacts of driving factors on the varying water quality signals contributed to the originality in this work, providing more intuitive insights for the assessment of the influences of policies and the climate change on the water quality. [ABSTRACT FROM AUTHOR]

Urbanization has rapidly increased, leading to a wide range of significant disruptions to the global ecosystem. Road construction has emerged as the primary catalyst for such ecological degradation. As a result, it is imperative to develop efficient technological approaches for quantifying and tracking alterations in the ecological environment. Additionally, it is crucial to delve deeper into the spatial correlation between the quality of the ecosystem and the urban road network. This is of crucial importance in promoting sustainable development within the region. In this study, the research area selected was the Minjiang River Basin (MRB). We made optimal use of the Google Earth Engine (GEE) cloud platform to create a long-term series of remote sensing ecological index (RSEI) data in order to assess the quality of the ecological environment in the area. Additionally, we integrated digital elevation data (DEM) and OpenStreetMap (OSM) road network data to investigate the response mechanisms of RSEI with regard to elevation, slope, and the road network. The findings were as follows: (1) There were two distinct phases observed in the average value of RSEI: a slow-rising phase (2000–2010) with a growth rate of 1.09% and a rapidly rising phase (2010–2020) with a growth rate of 5.36%; the overall 20-year variation range fell between 0.575 and 0.808. (2) During the period of 2000 to 2010, approximately 41.6% of the area exhibited enhanced ecological quality, whereas 17.9% experienced degradation. Subsequently, from 2010 to 2020, the proportion of the region with improved ecological quality rose to 54.0%, while the percentage of degraded areas declined to 3.8%. (3) With increasing elevation and slope, the average value of RSEI initially rose and then declined. Specifically, the regions with the highest ecological quality were found in the areas with elevations ranging from 1200 to 1500 m and slopes ranging from 40 to 50°. In contrast, areas with an elevation below 300 meters or a slope of less than 10° had the poorest ecological quality. (4) The RSEI values exhibited a rapid ascent within the 1200 m buffer along the road network, while beyond this threshold, the increase in RSEI values became more subdued. (5) The bivariate analysis found a negative correlation between road network kernel density estimation (KDE) and RSEI, which grew stronger with larger scales. Spatial distribution patterns primarily comprised High–Low and Low–High clusters, in addition to non-significant clusters. The southeastern region contained concentrated High–Low clusters which covered approximately 10% of the study area, while Low–High clusters accounted for around 20% and were predominantly found in the western region. Analyzing the annual changes from 2000 to 2020, the southeastern region experienced a decrease in the number of High–Low clusters and an increase in the number of High–High clusters, whereas the northwestern region showed a decline in the number of Low–High clusters and an increase in the number of non-significant clusters. This study addresses a research gap by investigating the spatial correlation between road distribution and RSEI, which is vital for comprehending the interplay between human activities and ecosystem services within the basin system. [ABSTRACT FROM AUTHOR]

[Objective] The driving factors and interaction of dynamic changes ecological environmental quality in the Minjiang River basin were studied in order to provide theoretical support for improving the quality of the ecological environment and for realizing human and natural development. [Methods] MODIS remote sensing data were obtained from 2001 to 2020 to calculate the remote sensing ecological index (RSEI) of the Minjiang River basin based on the Google Earth Engine (GEE) platform. The spatio-temporal changes in ecological environmental quality for the Minjiang River basin were studied in combination with trend analysis, and the driving factors of RSEI were identified by geographical detectors. [Results] ① The average contribution rate of the first principal component of the four ecological indicators reached 69.01% in the RSEI calculation results, indicating that RSEI could fully reflect the ecological environmental quality of the Minjiang River basin. ② The ecological environment of the Minjiang River basin was in the good quality category, and exhibited improvement over time. From 2001 to 2020, the average RSEI of the Minjiang River basin increased from 0.618 to 0.701. The proportion of area with excellent and good ecological environmental quality increased by 19.16%, and the regional ecological environmental quality improved for 90.28% of the area of the Minjiang River basin. [Conclusion] The ecological environmental quality of the Minjiang River basin was jointly affected by multiple factors, among which altitude and nighttime light were the main influencing factors and driving forces with a high degree of explanation. The interaction between factors will increase the impact on ecological environmental quality.

A program of ecological compensation (EC) is an effective means to solve the potential unfairness caused by the difference in environmental quality between the upper, middle, and lower reaches of river basins, alleviate the conflict of economic interests between regions. By constructing an EC accounting model, this study defines the carbon emissions of construction land as the consumption of ecological services to avoid the problem of lower EC in the upper reaches than the middle and lower reaches when only the ecosystem service value (ESV) is used as the compensation basis. We calculate the cumulative EC standards in the basin from 2000 to 2018 at the county, major functional oriented zone, and basin section scales, divide the subjects unto those provide EC and the subjects receiving EC, and finally introduce the comparative ecological radiation force to simulate the direction and scale of the ecosystem service flow (ESF) of the subjects receiving EC. The findings of this study are as follows: (1) The ESV of the Minjiang River Basin shows a downward trend in time and a spatial distribution pattern of high in the north and southwest parts and low in the middle and southeast parts. (2) Carbon emissions from construction land in all counties (cities and districts) in the Minjiang River Basin show an upward trend in time and a spatial distribution pattern of high in the middle part and low in the north and south parts. (3) The cumulative EC standard in the Minjiang River Basin from 2000 to 2018 is 279.401 billion CNY, which indicates ESV spillover. On the county scale, 22 subjects receive EC and 23 subjects providing EC. The subjects receiving EC are generally located in the southwestern parts of the upper and lower reaches, and the subjects providing EC are concentrated in the national key development zone in the middle reaches. (4) The ESF goes from north to south in the upper reaches, towards the north and south sides in the middle reaches, and towards the east and north in the lower reaches. Our findings provide an important reference for EC practices in the Minjiang River Basin.

With the ongoing impacts of global climate change, the cumulative stress effects of external disturbances on ecosystems are gradually strengthening. Therefore, it is very important to scientifically evaluate the stability of ecosystems. In the terrestrial ecosystems, vegetation serves as a link between the water, energy, and carbon cycles, and is an important index which allows for the measurement of ecosystem stability. In this study, two vegetation indices (normalized difference vegetation index and enhanced vegetation index), along with solar-induced chlorophyll fluorescence data from 2001 to 2021, were used to determine the external disturbance events in the Minjiang river basin using a dynamic time warping (DTW) algorithm. Analyses of the disturbance characteristics during this period, and quantification of the vegetation resistance, resilience, and vegetation regime shift rate were conducted. The results indicated the following. (1) The disturbance results monitored by the DTW algorithm were highly consistent with typical events, and it was feasible to monitor the disturbance of the Minjiang river basin using the DTW algorithm. (2) Disturbance intensity in the river basin increased slightly, while in urban areas it decreased. (3) The resistance of different types of vegetation varied greatly, with the resistance strongest in forests, next in croplands, and weakest in grasslands. In contrast, resilience was the strongest in croplands, next in grasslands, and weakest in forests. (4) The vegetation growth state of the river basin was more significantly affected by external disturbance in 2001–2021, with 58.75% of forest, 54.37% of grassland, and 37.21% of cropland having regime shift rates

Minjiang River Basin is a pilot project area in Fujian Province for ecological protection and restoration of mountain-river- forest-farmland-lake-grass, with outstanding ecological service capacity. Based on the landuse data, climate data and socio-economic data of Minjiang River Basin from 1990 to 2015, this study explored the spatial and temporal characteristics of land use and its drivers in Minjiang River Basin by using spatial analysis and principal component analysis. The results showed that (1) from 1990 to 2015, based on the analysis of land use change types, the area of low-coverage grassland decreased significantly, while the area of urban land, other construction land, forested land, and other forested land increased significantly. From 1990 to 2015, based on the spatial pattern of land use change, the decrease of grassland mainly occurred in the north-central, east-central, and west-central parts of the Minjiang River Basin, and the direction of change was mainly interchangeable with forested land; the small decrease of cultivated land was mainly distributed in the north-central part of the basin. (2) From 1990 to 2015, the land use changes were most obvious in the middle reaches of the Minjiang River basin, followed by the lower reaches, and least in the upper reaches, analyzed by the drastic degree of land use changes. (3) In terms of the time analysis of land use change, 1990-1995 was the most obvious period of land use change in the Minjiang River basin. Rapid socio-economic development, accelerated urbanization, and rising consumption levels of residents were the main drivers of land use change in the region. This article aims to provide a basis for further research on the sustainable use of land resources and the construction of ecological security patterns in the Minjiang River basin, and to provide a reference for the formulation and implementation of land resources management, ecological protection and high-quality development planning in the Minjiang River basin.use changes. (3) In terms of the time analysis of land use change, 1990-1995 was the most obvious period of land use change in the Minjiang River basin. Rapid socio-economic development, accelerated urbanization, and rising consumption levels of residents were the main drivers of land use change in the region. This article aims to provide a basis for further research on the sustainable use of land resources and the construction of ecological security patterns in the Minjiang River basin, and to provide a reference for the formulation and implementation of land resources management, ecological protection and high-quality development planning in the Minjiang River basin.use changes. (3) In terms of the time analysis of land use change, 1990-1995 was the most obvious period of land use change in the Minjiang River basin. Rapid socio-economic development, accelerated urbanization, and rising consumption levels of residents were the main drivers of land use change in the region. This article aims to provide a basis for further research on the sustainable use of land resources and the construction of ecological security patterns in the Minjiang River basin, and to provide a reference for the formulation and implementation of land resources management, ecological protection and high-quality development planning in the Minjiang River basin.use changes. (3) In terms of the time analysis of land use change, 1990-1995 was the most obvious period of land use change in the Minjiang River basin. Rapid socio-economic development, accelerated urbanization, and rising consumption levels of residents were the main drivers of land use change in the region. This article aims to provide a basis for further research on the sustainable use of land resources and the construction of ecological security patterns in the Minjiang River basin, and to provide a reference for the formulation and implementation of land resources management, ecological protection and high-quality development planning in the Minjiang River basin. [ABSTRACT FROM AUTHOR]

Quantification methods of river basin ecological compensation with a scientific basis are not only a research hotspot in the field of resources and environment, but also an urgent technical difficulty needing to be solved in environmental management. The theory of property rights and externalities provides us with a new method to understand ecological compensation, which helps us to put forward a clear policy path to effectively solve the problem of ‘the tragedgy of the Commons’ in the ecological environment protection of river basins. Based on the externality problems of social and economic activities for a river basin, a standard calculation method under the combined scenario of ‘clear property rights, water quality and quantity, and opportunity cost’ was built in this paper. Taking the Minjiang River basin as an example, the definition of ecological property rights of the basin was divided into three scenarios: ‘upstream has pollution rights’, ‘upstream has no pollution rights’ and ‘upstream and downstream co-construction and sharing’. Ecological compensation standards of the Minjiang River basin under different property rights from 2015 to 2019 were calculated. The results showed that: (i) in the case where the upstream has pollution rights, the ecological compensation amount of Sanming City ranged from 2.41–9.36 × 108 Yuan, the final compensation value of Nanping City was 2.29–18.99 × 108 Yuan, and the ecological compensation cost of Fuzhou City was 6.78–28.35 × 108 Yuan; (ii) if the upstream area has no pollution rights, the compensation values of Sanming City and Nanping City to the downstream area were each 0; and (iii) under the case of upstream and downstream co-construction and sharing, the ecological compensation value of Sanming City was 6.25–21.34 × 108 Yuan, the final compensation value of Nanping City was 5.80–20.38 × 108 Yuan, and Fuzhou City needed to pay 12.05–36.38 × 108 Yuan for eco-compensation. The calculated results of ecological compensation standards in the Minjiang River basin indicated the amount of ecological compensation paid by the downstream to the upstream showing an upward trend on the whole. This method was relatively easy to define property rights and obtain data, taking into account the benefits of upstream and downstream, and the calculation process was relatively simple, which developed and supplemented the traditional ecological compensation method used for river basins. HIGHLIGHTS The empirical method combined clear property rights, water quality and quantity, and opportunity cost.; Determines the proportion according to the water sharing coefficient.; Calculates the total cost by superimposing the opportunity cost.; Both a temporal and spatial analysis of the values of ecological compensation are served.; Expands research into environmental economic policy and ecological compensation.;

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The process of land use and habitat quality change is of great significance to maintaining the balance of natural systems and the sustainable development of regional socio-economics. Taking the Minjiang River as the research area, the InVEST Model was used to evaluate the spatial and temporal changes in habitat quality based on the land use change. The results show that: (1) The construction land in the Minjiang River Basin showed an increasing trend, while the cultivated land, woodland and grassland showed a shrinking trend in 2000-2017; the conversion between cultivated land, woodland and construction land was more obvious, and the construction land changed. The largest source of construction land transfer was mainly cultivated land. (2) In terms of time scale, the proportion of poor and good habitat quality increased by 71.34% and 2.41% respectively; the proportion of medium and excellent grades dropped by 4.28% and 2.61% respectively. (3) In terms of spatial scale, the habitat quality of upper reaches of the Minjiang River Basin was generally higher than that of the middle and lower reaches. The large-scale expansion of construction land had encroached on a large amount of arable land and woodland, which led to a decline in the overall habitat quality of the middle and lower reaches of the plain area. Among them, the poor and middle-level areas were significantly expanded. [ABSTRACT FROM AUTHOR]

Urbanization has rapidly increased, leading to a wide range of significant disruptions to the global ecosystem. Road construction has emerged as the primary catalyst for such ecological degradation. As a result, it is imperative to develop efficient technological approaches for quantifying and tracking alterations in the ecological environment. Additionally, it is crucial to delve deeper into the spatial correlation between the quality of the ecosystem and the urban road network. This is of crucial importance in promoting sustainable development within the region. In this study, the research area selected was the Minjiang River Basin (MRB). We made optimal use of the Google Earth Engine (GEE) cloud platform to create a long-term series of remote sensing ecological index (RSEI) data in order to assess the quality of the ecological environment in the area. Additionally, we integrated digital elevation data (DEM) and OpenStreetMap (OSM) road network data to investigate the response mechanisms of RSEI with regard to elevation, slope, and the road network. The findings were as follows: (1) There were two distinct phases observed in the average value of RSEI: a slow-rising phase (2000–2010) with a growth rate of 1.09% and a rapidly rising phase (2010–2020) with a growth rate of 5.36%; the overall 20-year variation range fell between 0.575 and 0.808. (2) During the period of 2000 to 2010, approximately 41.6% of the area exhibited enhanced ecological quality, whereas 17.9% experienced degradation. Subsequently, from 2010 to 2020, the proportion of the region with improved ecological quality rose to 54.0%, while the percentage of degraded areas declined to 3.8%. (3) With increasing elevation and slope, the average value of RSEI initially rose and then declined. Specifically, the regions with the highest ecological quality were found in the areas with elevations ranging from 1200 to 1500 m and slopes ranging from 40 to 50°. In contrast, areas with an elevation below 300 meters or a slope of less than 10° had the poorest ecological quality. (4) The RSEI values exhibited a rapid ascent within the 1200 m buffer along the road network, while beyond this threshold, the increase in RSEI values became more subdued. (5) The bivariate analysis found a negative correlation between road network kernel density estimation (KDE) and RSEI, which grew stronger with larger scales. Spatial distribution patterns primarily comprised High–Low and Low–High clusters, in addition to non-significant clusters. The southeastern region contained concentrated High–Low clusters which covered approximately 10% of the study area, while Low–High clusters accounted for around 20% and were predominantly found in the western region. Analyzing the annual changes from 2000 to 2020, the southeastern region experienced a decrease in the number of High–Low clusters and an increase in the number of High–High clusters, whereas the northwestern region showed a decline in the number of Low–High clusters and an increase in the number of non-significant clusters. This study addresses a research gap by investigating the spatial correlation between road distribution and RSEI, which is vital for comprehending the interplay between human activities and ecosystem services within the basin system.

The Minjiang River is an important first-level tributary of the Yangtze River. Understanding the driving factors of water quality variations in the Minjiang River is crucial for future policy planning of watershed ecology protection of the Yangtze River. The water quality of the Minjiang River is impacted by both meteorological factors and anthropogenic factors. By using wavelet analysis, machine learning, and Shapley analysis approaches, the impacts of meteorological factors and anthropogenic factors on the permanganate index (CODMn) and ammonia nitrogen (NH3-N) concentrations at the outlet of the Minjiang River Basin were quantified. The observed CODMn and NH3-N concentration data in the Minjiang River from 2016 to 2020 were decomposed into long-term trend signals and periodic signals. The long-term trends in water qualities showed that anthropogenic factors were the major driving factors, accounting for 98.38% of the impact on CODMn concentrations and 98.18% of the impact on NH3-N concentrations. The periodic fluctuations in water qualities in the Minjiang River Basin were mainly controlled by meteorological factors, with an impact of 68.89% on CODMn concentrations and 63.94% on NH3-N concentrations. Compared to anthropogenic factors, meteorological factors have a greater impact on water quality in the Minjiang River Basin during both the high-temperature and rainy seasons from July to September and during the winter from December to February. The separate quantification of impacts of driving factors on the varying water quality signals contributed to the originality in this work, providing more intuitive insights for the assessment of the influences of policies and the climate change on the water quality.

Monitoring vegetation growth and exploring the driving force behind it is very important for the study of global climate change and ecological environmental protection. Based on Normalized Difference Vegetation Index (NDVI) data from Moderate-Resolution Imaging Spectroradiometer (MODIS), meteorological and nighttime lights data from 2001 to 2020, this study uses the Theil–Sen slope test, Mann–Kendall significance test, Rescaled Range Analysis and partial correlation analysis to investigate the evolution of NDVI in the Minjiang River Basin, China, from three aspects: the spatial-temporal variation characteristics and future trend prediction of NDVI, the variation of climate and human activities in the basin, and the influences of different driving forces on NDVI. The results show that the average NDVI in the growing season was 0.60 in the Minjiang River Basin in the past twenty years, with a growth rate of 0.002/a. The area with high NDVI growth accounts for 66.02%, mainly distributed in the southeast, the central and the northern low-altitude areas of the basin. Combined with the Hurst index, the NDVI in the Minjiang River Basin exhibits an anti-sustainable tendency, with 63.22% of the area changing from improvement to degradation in the future. Meanwhile, the spatial differentiation of NDVI in the Minjiang River Basin is mainly affected by topography and climate factors, followed by human activities. This study not only provides scientific guidelines for the vegetation restoration, soil and water conservation and sustainable development of the Minjiang River Basin, but also provides a scientific basis for making informed decisions on ecological protection under the impacts of climate change and human activities. [ABSTRACT FROM AUTHOR]

Climate change is an essential trigger for mountain disasters (e.g., landslides and debris flow) in South⁃ west China, especially in the Minjiang River Basin. Using the daily observations of 47 meteorological stations, we disclose the spatial temporal variation of precipitation under the background of warming in the Minjiang River Ba⁃ sin during 1979－2018. Then we detect the trend and abrupt change of precipitation extremes, years with precipitation anomaly, and the frequency of drought flood shifts based on a statistical analysis of eleven indexes for precipitation extremes. Moreover, we discuss the impact of climate change on typical events of mountain disasters. Our re⁃ search demonstrates that the temperature generally increased in the Minjiang River Basin over the past four de⁃ cades, particularly in the upper reaches where the prominent landform is mountainous. Furthermore, the spring and winter precipitation raised significantly with the maximum increment in the upstream and the mountainous regions west of the midstream. Meanwhile, the amount and intensity of precipitation extremes increased for mountain stations in the upper reaches, which is related to the more active Southwest Vortex, especially the Jiulong Vortex. In addition, the frequency of drought flood shifts increased remarkably during 1979－2018. Therefore, the mountain disasters were more prone to break out with the magnification of disaster risks due to the combination of significant temperature and precipitation increase in the basin′s upper reaches and the enhanced precipitation extremes in high mountains. [ABSTRACT FROM AUTHOR]

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Copyright of Pearl River is the property of Pearl River Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Understanding the spatial variations in regional eco-environmental quality and their driving factors is essential for environmental management and protection. However, the lack of quantitative analyses in relevant studies has often hindered the formulation and implementation of effective eco-environmental policies. Taking Minjiang River Basin as an example, we used the remote sensing ecological indices (RSEI) to objectively and quantitatively characterize the eco-environmental quality. We also introduced and compared the maximum entropy (MaxEnt) and the random forest models to identify the critical driving factors. Results showed that the eco-environmental quality of Minjiang River Basin in 2020 was good overall, and the areas with good or excellent eco-environmental quality accounted for 58%. The areas with poor eco-environmental quality were mainly distributed in the periphery of the basin and the riverine areas. Both the MaxEnt and the random forest models were applicable to identify the critical driving factors and indicated that the degrees of landscape fragmentation and drastic land use were the main factors causing spatial variation of eco-environmental quality in the Minjiang River Basin. This study provides a new perspective and method for quantitative analysis of the driving factors of the spatial variations in regional eco-environmental quality for future eco-environmental management and protection.

In the context of global change, it is vital to comprehensively understand the spatial pattern and driving mechanism of vegetation growth to maintain the stability of watershed ecosystems. Previous research has focused mainly on identifying the main drivers of vegetation growth, while the direct and indirect effects of climate, terrain, and human activity on vegetation growth have rarely been explored. This study used the Minjiang River Basin (MRB), an important ecological barrier and the largest watershed in southeastern China, as an example. The kernel normalized difference vegetation index (kNDVI) was calculated on the Google Earth Engine (GEE) platform to examine the spatial pattern and evolution characteristics of vegetation growth. The optimal parameter-based geographical detector (OPGD) and partial least squares structural equation modeling (PLS-SEM) were used to analyze how terrain, climate, and human activity influenced the spatial pattern of the kNDVI. (1) From 2001 to 2020, vegetation growth in the MRB was predominantly rated as excellent or good, and 88.93% of the area showed an increasing trend of vegetation growth. (2) The OPGD revealed that the primary drivers influencing the spatial distribution of the kNDVI in the MRB included population density, nighttime light, elevation and temperature, which explained >40% of the variation in the kNDVI. The interaction of all paired drivers enhanced the explanatory power of the kNDVI, among which the strongest interaction was between population density and elevation, and the second interaction was between population density and temperature. (3) PLS-SEM revealed that human activity had a direct negative effect on the kNDVI, while terrain and climate had direct and indirect positive effects on the kNDVI. Overall, the total effects of terrain, climate and human activity on the kNDVI were 0.594, 0.233 and − 0.495, respectively, indicating that the positive effect of terrain outweighed the negative effect of human activity on vegetation growth in the MRB. These findings not only provide scientific evidence for ecological conservation and management in the MRB but also offer a useful reference for other regions exploring the complex causes of spatial patterns of vegetation growth. • The spatial patterns and their evolution of vegetation growth in the Minjiang River basin were revealed. • Most of drivers showed dual-driver enhancement after interaction. • Terrain dominated the influence on vegetation growth over human activity. • The application of OPGD and PLS-SEM revealed well the causes of vegetation growth. [ABSTRACT FROM AUTHOR]

Tibetans are one of the oldest ethnic groups in China and South Asia. Based on the analysis of 1,059 Tibetans in the Minjiang River basin at an altitude of 500–4,001 m, we found that the dominant phyla of the Tibetan population were Bacteroidota and Firmicutes , and the main genera were Prevotella and Bacteroides , which were mostly in consistent with other nationalities. We further evaluated in total 115 parameters of seven categories, and results showed that altitude was the most important factor affecting the variation in the microbial community. In the process of emigration from high altitudes to the plain, the gut microbial composition of late emigrants was similar to that of plateau aborigines. In addition, regarding immigration from low altitude to high altitude, the microbial community became more similar to that of high altitude population with the increase of immigration time. Changes in these microbes are related to the metabolism, disease incidence and cell functions of the Tibetan population. The results of other two cohorts (AGP and Z208) also showed the impact of altitude on the microbial community. Our study demonstrated that altitude of habitation is an important factor affecting the enterotype of the microflora in the Tibetan population and the study also provided a basis to explore the interaction of impact parameters with gut microbiome for host health and diseases. [ABSTRACT FROM AUTHOR]

Evapotranspiration is one of the critical processes in the terrestrial hydrological cycle, and the assessment of evapotranspiration is essential for understanding the regional hydrological cycle. In this study, the Minjiang River Basin, a typical watershed in the humid subtropical climate zone, is selected as the study region. The Penman-Monteith equation and the dual crop coefficient method are used to calculate the actual evapotranspiration (ETa) at seven meteorological stations within the study basin. Meanwhile, the applicability of the Global Land Data Assimilation System-Noah (GLDAS-Noah) ETa data in the Minjiang River Basin is evaluated based on stations P-M equation results, then to analyze the changes of the ETa in the Minjiang River Basin from 2000 to 2019. The results show that the GLDAS-Noah ETa data are well applicable in the Minjiang River Basin (R2 > 0.9 and NSE > 0.8). The ETa in the basin shows an increasing trend since 2000, and the increasing rate is 3.60 mm·yr−1 (p < 0.01). The seasonal variation results show that ETa tends to increase in winter and spring, with increasing rates of 1.10 mm·yr−1 (p < 0.01) and 2.60 mm·yr−1 (p < 0.01), respectively, while the ETa did not change significantly in summer and autumn. Annual air temperature has the largest effect on annual ETa (59.6%), followed by precipitation at 33.9%. ETa increased in spring was mainly influenced by increasing temperatures (89.4%) in the Minjiang River Basin from 2000 to 2019. The research results are of great benefit to further improve the understanding of ETa variations in the basin under global warming. [ABSTRACT FROM AUTHOR]

Tibetans are one of the oldest ethnic groups in China and South Asia. Based on the analysis of 1,059 Tibetans in the Minjiang River basin at an altitude of 500–4,001 m, we found that the dominant phyla of the Tibetan population were Bacteroidota and Firmicutes, and the main genera were Prevotella and Bacteroides, which were mostly in consistent with other nationalities. We further evaluated in total 115 parameters of seven categories, and results showed that altitude was the most important factor affecting the variation in the microbial community. In the process of emigration from high altitudes to the plain, the gut microbial composition of late emigrants was similar to that of plateau aborigines. In addition, regarding immigration from low altitude to high altitude, the microbial community became more similar to that of high altitude population with the increase of immigration time. Changes in these microbes are related to the metabolism, disease incidence and cell functions of the Tibetan population. The results of other two cohorts (AGP and Z208) also showed the impact of altitude on the microbial community. Our study demonstrated that altitude of habitation is an important factor affecting the enterotype of the microflora in the Tibetan population and the study also provided a basis to explore the interaction of impact parameters with gut microbiome for host health and diseases.

Dual factors of climate and human on the hydrological process are reflected not only in changes in the spatiotemporal distribution of water resource amounts but also in the various characteristics of river flow regimes. Isolating and quantifying their contributions to these hydrological alterations helps us to comprehensively understand the response mechanism and patterns of hydrological process to the two kinds of factors. Here we develop a general framework using hydrological model and 33 indicators to describe hydrological process and quantify the impact from climate and human. And we select the Upper Minjiang River (UMR) as a case to explore its feasibility. The results indicate that our approach successfully recognizes the characteristics of river flow regimes in different scenarios and quantitatively separates the climate and human contributions to multi-dimensional hydrological alterations. Among these indicators, 26 of 33 indicators decrease over the past half-century (1961–2012) in the UMR, with change rates ranging from 1.3% to 33.2%, and the human impacts are the dominant factor affecting hydrological processes, with an average relative contribution rate of 58.6%. Climate change causes an increase in most indicators, with an average relative contribution rate of 41.4%. Specifically, changes in precipitation and reservoir operation may play a considerable role in inducing these alterations. The findings in this study help us better understand the response mechanism of hydrological process under changing environment and is conducive to climate change adaptation, water resource planning and ecological construction. [ABSTRACT FROM AUTHOR]

Monitoring vegetation growth and exploring the driving force behind it is very important for the study of global climate change and ecological environmental protection. Based on Normalized Difference Vegetation Index (NDVI) data from Moderate-Resolution Imaging Spectroradiometer (MODIS), meteorological and nighttime lights data from 2001 to 2020, this study uses the Theil–Sen slope test, Mann–Kendall significance test, Rescaled Range Analysis and partial correlation analysis to investigate the evolution of NDVI in the Minjiang River Basin, China, from three aspects: the spatial-temporal variation characteristics and future trend prediction of NDVI, the variation of climate and human activities in the basin, and the influences of different driving forces on NDVI. The results show that the average NDVI in the growing season was 0.60 in the Minjiang River Basin in the past twenty years, with a growth rate of 0.002/a. The area with high NDVI growth accounts for 66.02%, mainly distributed in the southeast, the central and the northern low-altitude areas of the basin. Combined with the Hurst index, the NDVI in the Minjiang River Basin exhibits an anti-sustainable tendency, with 63.22% of the area changing from improvement to degradation in the future. Meanwhile, the spatial differentiation of NDVI in the Minjiang River Basin is mainly affected by topography and climate factors, followed by human activities. This study not only provides scientific guidelines for the vegetation restoration, soil and water conservation and sustainable development of the Minjiang River Basin, but also provides a scientific basis for making informed decisions on ecological protection under the impacts of climate change and human activities.

Evapotranspiration is one of the critical processes in the terrestrial hydrological cycle, and the assessment of evapotranspiration is essential for understanding the regional hydrological cycle. In this study, the Minjiang River Basin, a typical watershed in the humid subtropical climate zone, is selected as the study region. The Penman-Monteith equation and the dual crop coefficient method are used to calculate the actual evapotranspiration (ETa) at seven meteorological stations within the study basin. Meanwhile, the applicability of the Global Land Data Assimilation System-Noah (GLDAS-Noah) ETa data in the Minjiang River Basin is evaluated based on stations P-M equation results, then to analyze the changes of the ETa in the Minjiang River Basin from 2000 to 2019. The results show that the GLDAS-Noah ETa data are well applicable in the Minjiang River Basin (R2 > 0.9 and NSE > 0.8). The ETa in the basin shows an increasing trend since 2000, and the increasing rate is 3.60 mm·yr−1 (p < 0.01). The seasonal variation results show that ETa tends to increase in winter and spring, with increasing rates of 1.10 mm·yr−1 (p < 0.01) and 2.60 mm·yr−1 (p < 0.01), respectively, while the ETa did not change significantly in summer and autumn. Annual air temperature has the largest effect on annual ETa (59.6%), followed by precipitation at 33.9%. ETa increased in spring was mainly influenced by increasing temperatures (89.4%) in the Minjiang River Basin from 2000 to 2019. The research results are of great benefit to further improve the understanding of ETa variations in the basin under global warming.

Soil erosion is one of the main environmental problems in the world, and also an important branch of natural environment protection. Taking Minjiang River Basin as the research area, based on the supervised classification of land use status map, the comprehensive soil erosion modulus map was generated by referring to the soil erosion evaluation index and the revised soil loss equation (RUSLE). The results showed that the Minjiang River Basin is dominated by mild eroded area and middle eroded area, accounting for 41.50% and 54.81% of the total area respectively. High eroded area accounted for only 3.69%, mainly in the north and west, and there was no extremely sensitive area. From the perspective of land use types, the construction land and water body are mainly slightly sensitive areas, and forest land, garden land and cultivated land are mainly mild or middle sensitive areas, while the unused lands are shown as middle sensitive areas or highly sensitive areas. Through the discussion of the sensitivity evaluation of soil erosion in Minjiang River Basin, it can provide some references for the relevant departments to the soil and water conservation work in Minjiang River Basin. [ABSTRACT FROM AUTHOR]

The Minjiang River Basin in Fujian played a vital role in the southward spread of agriculture in China. To better understand the development of Neolithic cultures in this region and the interactions between the people of Southeast China and their environment, as well as the formation and development of agricultural civilizations in East Asia, this study focused on determining the luminescence ages of nine pottery/burnt clay samples and measuring 33 trace elements in 38 pottery/burnt clay and 15 sediment samples collected from the Minjiang River Basin. The reliability of determining luminescence age using heated quartz was also investigated. By combining the characteristics of trace elements with the background of prehistoric human environments, this study aimed to explore the relationships between humans and the environment and cultural interactions during the late Neolithic period in the Minjiang River Basin. The results showed that some pottery samples displayed a higher proportion of medium and slow components in their initial quartz optically stimulated luminescence (OSL) signals, but most OSL ages were not affected. The ages of the pottery samples were concentrated during stable environmental periods characterized by relatively high sea levels, elevated surface sea temperatures, and low El Niño–Southern Oscillation occurrence frequencies. The chemical composition and principal component analysis suggested that the majority of pottery samples were locally sourced, while pottery from coastal islands may have originated from upstream areas of the Minjiang River. This indicates that there was cultural exchange in the Minjiang River Basin during the Neolithic culture period, rather than being limited to the local living. Differences in subsistence patterns could serve as a driving force behind cross-regional cultural exchanges, which likely deepened over time. • A systematic luminescence dating of pottery in the southeast coast of China • The date of the pottery indicates that the ancient human activity was concentrated during periods of climate stability • There existed exchanges between different regional cultures in the Minjiang River Basin during the Late Neolithic and Bronze periods [ABSTRACT FROM AUTHOR]

• Construction of ecological compensation standard accounting model based on spillover theory. • The number of areas paying eco-compensation and the number of areas receiving eco-compensation are about the same. • Ecologically important areas should receive EC, and economically developed areas should pay EC. • Ecosystem service flows occur mainly in areas where the value of ecosystem services is high. A program of ecological compensation (EC) is an effective means to solve the potential unfairness caused by the difference in environmental quality between the upper, middle, and lower reaches of river basins, alleviate the conflict of economic interests between regions. By constructing an EC accounting model, this study defines the carbon emissions of construction land as the consumption of ecological services to avoid the problem of lower EC in the upper reaches than the middle and lower reaches when only the ecosystem service value (ESV) is used as the compensation basis. We calculate the cumulative EC standards in the basin from 2000 to 2018 at the county, major functional oriented zone, and basin section scales, divide the subjects unto those provide EC and the subjects receiving EC, and finally introduce the comparative ecological radiation force to simulate the direction and scale of the ecosystem service flow (ESF) of the subjects receiving EC. The findings of this study are as follows: (1) The ESV of the Minjiang River Basin shows a downward trend in time and a spatial distribution pattern of high in the north and southwest parts and low in the middle and southeast parts. (2) Carbon emissions from construction land in all counties (cities and districts) in the Minjiang River Basin show an upward trend in time and a spatial distribution pattern of high in the middle part and low in the north and south parts. (3) The cumulative EC standard in the Minjiang River Basin from 2000 to 2018 is 279.401 billion CNY, which indicates ESV spillover. On the county scale, 22 subjects receive EC and 23 subjects providing EC. The subjects receiving EC are generally located in the southwestern parts of the upper and lower reaches, and the subjects providing EC are concentrated in the national key development zone in the middle reaches. (4) The ESF goes from north to south in the upper reaches, towards the north and south sides in the middle reaches, and towards the east and north in the lower reaches. Our findings provide an important reference for EC practices in the Minjiang River Basin. [ABSTRACT FROM AUTHOR]

• A new method for ecosystem stability assessment. • The resistance and resilience of terrestrial ecosystems were quantified. • The vegetation resilience under different disturbance patterns was assessed. With the ongoing impacts of global climate change, the cumulative stress effects of external disturbances on ecosystems are gradually strengthening. Therefore, it is very important to scientifically evaluate the stability of ecosystems. In the terrestrial ecosystems, vegetation serves as a link between the water, energy, and carbon cycles, and is an important index which allows for the measurement of ecosystem stability. In this study, two vegetation indices (normalized difference vegetation index and enhanced vegetation index), along with solar-induced chlorophyll fluorescence data from 2001 to 2021, were used to determine the external disturbance events in the Minjiang river basin using a dynamic time warping (DTW) algorithm. Analyses of the disturbance characteristics during this period, and quantification of the vegetation resistance, resilience, and vegetation regime shift rate were conducted. The results indicated the following. (1) The disturbance results monitored by the DTW algorithm were highly consistent with typical events, and it was feasible to monitor the disturbance of the Minjiang river basin using the DTW algorithm. (2) Disturbance intensity in the river basin increased slightly, while in urban areas it decreased. (3) The resistance of different types of vegetation varied greatly, with the resistance strongest in forests, next in croplands, and weakest in grasslands. In contrast, resilience was the strongest in croplands, next in grasslands, and weakest in forests. (4) The vegetation growth state of the river basin was more significantly affected by external disturbance in 2001–2021, with 58.75% of forest, 54.37% of grassland, and 37.21% of cropland having regime shift rates < 1. Lastly, (5) the response of vegetation to external disturbance was diverse under different disturbance scenarios, with the vegetation recovery rate under gradual disturbance being greater than the rate under abrupt disturbance. [ABSTRACT FROM AUTHOR]

Climate change and human activities have changed the spatial-temporal distribution of water resources, especially in a fragile ecological area such as the upper reaches of the Minjiang River (UMR) basin, where they have had a more profound effect. The average of double-mass curve (DMC) and Distributed Time-Variant Gain Hydrological Model (DTVGM) are applied to distinguish between the impacts of climate change and human activities on water resources in this paper. Results indicated that water resources decreased over nearly 50 years in the UMR. At the annual scale, contributions of human activities and climate change to changes in discharge were −77% and 23%, respectively. In general, human activities decreased the availability of water resources, whereas climate change increased the availability of water resources. However, the impacts of human activities and climate change on water resources availability were distinctly different on annual versus seasonal scales, and they showed more inconsistency in summer and autumn. The main causes of decreasing water resources are reservoir regulation, and water use increases due to population growth. The results of this study can provide support for water resource management and sustainable development in the UMR basin. [ABSTRACT FROM AUTHOR]

An increase in extreme precipitation events due to future climate change will have a decisive influence on the formation of debris flows in earthquake-stricken areas. This paper aimed to describe the possible impacts of future climate change on debris flow hazards in the Upper Minjiang River basin in Northwest Sichuan of China, which was severely affected by the 2008 Wenchuan earthquake. The study area was divided into 1285 catchments, which were used as the basic assessment units for debris flow hazards. Based on the current understanding of the causes of debris flows, a binary logistic regression model was used to screen key factors based on local geologic, geomorphologic, soil, vegetation, and meteorological and climatic conditions. We used the weighted summation method to obtain a composite index for debris flow hazards, based on two weight allocation methods: Relative Degree Analysis and rough set theory. Our results showed that the assessment model using the rough set theory resulted in better accuracy. According to the bias corrected and downscaled daily climate model data, future annual precipitation (2030-2059) in the study area are expected to decrease, with an increasing number of heavy rainfall events. Under future climate change, areas with a high-level of debris flow hazard will be even more dangerous, and 5.9% more of the study area was categorized as having a high-level hazard. Future climate change will cause an increase in debris flow hazard levels for 128 catchments, accounting for 10.5% of the total area. In the coming few decades, attention should be paid not only to traditional areas with high-level of debris flow hazards, but also to those areas with an increased hazard level to improve their resilience to debris flow disasters. [ABSTRACT FROM AUTHOR]

Water quality safety has attracted global attention and is closely related to the development of the social economy and human health. It is widely recognized that climate change and human activities significantly affect water quality changes. Therefore, quantifying the contributions of factors that drive long-term water quality changes is crucial for effective water quality management. Here, we built a climate-water quality assessment framework (CWQAF) based on climate-water quality response coefficients and trend analysis methods, to achieve this goal. Our results showed that the water quality improved significantly by 4.45%–20.54% from 2011 to 2020 in the Minjiang River basin (MRB). Human activities (including the construction of ecological projects, stricter discharge measures, etc.) were the main driving factors contributing 65%–77% of the improvement effect. Notably, there were differences in the contributions of human activities to water quality parameter changes, such as DO (increase (I): 0.12 mg/L, human contribution (HC): 66.8%), COD Mn (decrease (D): 0.71 mg/L, HC: 67.2%), BOD 5 (D: 1.10 mg/L, HC: 77.7%), COD Cr (D: 4.20 mg/L, HC: 81.2%), TP (D: 0.13 mg/L,HC: 72.8%) and NH 3 –N (D: 0.40 mg/L, HC: 63.0%). Climate change explained 23%–35% of the variation in water quality. The water quality response to climate change was relatively significant with precipitation. For example, the downstream region was more susceptible to climate change than was the upstream region, as the downstream movement of precipitation centers strengthened the process of climatic factors affecting water quality changes in the MRB. Generally, although human activities were the main driving factor of water quality changes at the basin scale, the contribution of climate change could not be ignored. This study provided a manageable framework for the quantitative analysis of the influence of human activities and climate change on water quality to enable more precise and effective water quality management. [Display omitted] • A quantitative framework (CWQAF) was developed to analyse water quality changes. • CWQAF coupled climate-water quality response coefficients and trend analysis methods. • Human activities were the main driver of water quality improvement. • Shifting precipitation centers increased the contribution to changes in water quality. • Spatially differentiated management of climate change impacts needed to be addressed. [ABSTRACT FROM AUTHOR]

• We analyzed variations in eco-environmental quality within Minjiang River Basin. • Two species distribution models effectively extracted the driving factors. • Degree of landscape fragmentation and drastic land use were the main factors. • Remote sensing ecological index well quantified the eco-environmental quality. Understanding the spatial variations in regional eco-environmental quality and their driving factors is essential for environmental management and protection. However, the lack of quantitative analyses in relevant studies has often hindered the formulation and implementation of effective eco-environmental policies. Taking Minjiang River Basin as an example, we used the remote sensing ecological indices (RSEI) to objectively and quantitatively characterize the eco-environmental quality. We also introduced and compared the maximum entropy (MaxEnt) and the random forest models to identify the critical driving factors. Results showed that the eco-environmental quality of Minjiang River Basin in 2020 was good overall, and the areas with good or excellent eco-environmental quality accounted for 58%. The areas with poor eco-environmental quality were mainly distributed in the periphery of the basin and the riverine areas. Both the MaxEnt and the random forest models were applicable to identify the critical driving factors and indicated that the degrees of landscape fragmentation and drastic land use were the main factors causing spatial variation of eco-environmental quality in the Minjiang River Basin. This study provides a new perspective and method for quantitative analysis of the driving factors of the spatial variations in regional eco-environmental quality for future eco-environmental management and protection. [ABSTRACT FROM AUTHOR]

Knowledge of vegetation distribution patterns is very important. Their relationships with topography and climate were explored through a geographically weighted regression (GWR) framework in a subtropical mountainous and hilly region, Minjiang River Basin of Fujian in China. The HJ-1 satellite image acquired on December 9, 2010 was utilized and NDVI index was calculated representing the range of vegetation greenness. Proper analysis units were achieved through segregation based on small sub-basins and altitudinal bands. Results indicated that the GWR model was more powerful than ordinary linear least square (OLS) regression in interpreting vegetation-environmental relationship, indicated by higher adjusted R2 and lower Akaike information criterion values. On one side, the OLS analysis revealed dominant positive influence from parameters of elevation and slope on vegetation distribution. On the other side, GWR analysis indicated that spatially, the parameters of topography had a very complex relationship with the vegetation distribution, as results of the various combinations of environmental factors, vegetation composition and also anthropogenic impact. The influences of elevation and slope generally decreased, from strongly positive to nearly zero, with increasing altitude and slope. Specially, most rapid changes of coefficients between NDVI and elevation or slope were observed in relatively flat and low-lying areas. This paper confirmed that the non-stationary analysis through the framework of GWR could lead to a better understanding of vegetation distribution in subtropical mountainous and hilly region. It was hoped that the proposed scale selection method combined with GWR framework would provide some guidelines on dealing with both spatial (horizontal) and altitudinal (vertical) non-stationarity in the dataset, and it could easily be applied in characterizing vegetation distribution patterns in other mountainous and hilly river basins and related research. [ABSTRACT FROM AUTHOR]

The Minjiang River Basin is one of the first pilot areas for ecological conservation and the restoration of mountain-river-forest-farmland-lake-grass in China. Taking the Minjiang River Basin as an example, this paper selected the importance of ecosystem service functions and ecological sensitivity to evaluate the ecological environment and identify ecological sources. Furthermore, we constructed an ecological resistance surface using artificial and natural interference factors. Through a minimum cumulative resistance model (MCR), the ecological security pattern (ESP) of "two barriers, one belt, many corridors, and many spots" was constructed. Research shows that: (1) In total, 43 ecological sources were identified, with a total area of 523 km 2 , accounting for 0.6% of the total land area. These were mainly distributed in the southwest and northwest of the Minjiang River Basin, such as in Zhangping, covered forest land, and cultivated land. (2) The connectivity of the network was low, and the spatial distribution of the ecological pinch points was uneven. A total of 118 ecological corridors and 22 important ecological pinch points were identified. The total length of the ecological corridor is 3,732,051.88 km, which is dense on the left side and sparse on the right side. (3) The ecological restoration area was composed of a low ecological safety area and a lower ecological safety area; the ecological control area was composed of a medium ecological safety area and a higher ecological safety area; and the ecological conservation area was composed of a high ecological safety area, at 6.5%, 27.7%, and 65.8%, respectively. Constructing the ESP of the Minjiang River Basin is important for promoting harmonious socioeconomic development and ecological protection. In addition, it can provide a reference basis for other experimental areas of mountain-river-forest-farmland-lake-grass.