A Comprehensive Study of the Impact of Large-Scale Landscape Pattern Changes on the Watershed Ecosystem

The South-to-North Water Diversion Project (SNWD) is the world’s largest inter-basin water diversion project, and the Danjiangkou Reservoir is a water source of the middle route project of the SNWD. Dynamic monitoring of ecological environment changes in Danjiangkou Water source area can provide theoretical support for reservoir water storage security and ecosystem protection. In this study, the water storage of Danjiangkou reservoir was estimated and its dynamic change was analyzed. On this basis, the changes of landscape pattern and ecosystem services value caused by the SNWD project were analyzed. The results show that the reservoir storage presented an obvious growth trend from 2000 to 2019, especially after the middle route of the SNWD was opened in 2014. After the implementation of the SNWD project, the vegetation degradation in Danjiangkou reservoir area was obvious, which is mainly related to the expansion of construction land. The ecosystem service value of the Danjiangkou Reservoir was mainly determined by the water conservation supply value and climate regulation value. After the implementation of the SNWD project, the values of water conservation and supply, climate regulation, and hydropower generation showed an increasing trend, while the values of fixing carbon and releasing oxygen, and organic matter production showed a decreasing trend.


Introduction
The available freshwater resources on the Earth are unevenly distributed in time and space due to differences in geographical locations and climate conditions. With the increase in population and the rapid development of the social economy, the demand for water in many areas is increasing, which aggravates the imbalance between the supply and demand of water resources. Indeed, recent studies have indicated that new infrastructure in urban areas may significantly accelerate the urban development and, consequently, the water demand [1]. Though some soft measures can help to cope with the increasing water demand [1,2], inevitably, large-scale projects are eventually required to leverage and support the urban development beyond a certain point.
The uneven distribution of water resources is a problem many countries are experiencing. Inter-basin water transfer is considered to be an effective way to solve the uneven distribution of water resources in time and space [3]. In these projects, water resources are transferred from one basin to another through human intervention so that water resources are redistributed according to human needs; these diversions can alleviate the contradiction between the supply and demand of water resources and realize the optimal allocation of water resources among basins. Therefore, many countries and regions have built inte-basin water transfer projects [4][5][6], and scientific management and allocation of water resources [7,8].
the water diversion project, constructs an evaluation system of the reservoir ecosystem service value, and quantitatively analyzes the effect of the water diversion project on the watershed ecosystem.

Study Area
The Danjiangkou Reservoir (32 • 36 -33 • 48 N; 110 • 59 -111 • 49 E) is the core water source area of the middle route project of the SNWD in China (Figure 1). It is a large-scale water control project that was built in China to enhance the comprehensive development and management of the Hanjiang River basin. The project is divided into two phases. The initial project was completed in 1973, with a water area of 727.9 km 2 and a coastline of 1750 km under normal water level. Then, the dam heightening project was completed in 2013, with a water area of 1059.6 km 2 and a coastline of 2167 km. The average annual water area of the reservoir is 480.38 km 2 , and the average inflow is 39.48 billion cubic meters per year, of which approximately 90% comes from the Hanjiang River and 10% from the Danjiang River.
sion, discusses the change law of the watershed ecological environment under the effect of the water diversion project, constructs an evaluation system of the reservoir ecosystem service value, and quantitatively analyzes the effect of the water diversion project on the watershed ecosystem.

Study Area
The Danjiangkou Reservoir (32°36′-33°48′ N; 110°59′-111°49′ E) is the core water source area of the middle route project of the SNWD in China (Figure 1). It is a large-scale water control project that was built in China to enhance the comprehensive development and management of the Hanjiang River basin. The project is divided into two phases. The initial project was completed in 1973, with a water area of 727.9 km 2 and a coastline of 1750 km under normal water level. Then, the dam heightening project was completed in 2013, with a water area of 1059.6 km 2 and a coastline of 2167 km. The average annual water area of the reservoir is 480.38 km 2 , and the average inflow is 39.48 billion cubic meters per year, of which approximately 90% comes from the Hanjiang River and 10% from the Danjiang River.
The Hanjiang River, upon which the Danjiangkou Reservoir is located, is the largest tributary of the Yangtze River, with a total length of 1532 km and a drainage area of approximately 1.507 × 10 5 square kilometers. The Hanjiang River basin belongs to the East Asia subtropical monsoon climate zone, with four distinct seasons; it has a mild and humid climate, abundant water, an annual average temperature of 15-16.5 °C, and an annual average precipitation amount of 700-1300 mm.

Data
The data used in this study included remote sensing image data, land-use data, meteorological station data, and statistical data; the data list is shown in Table 1.  The Hanjiang River, upon which the Danjiangkou Reservoir is located, is the largest tributary of the Yangtze River, with a total length of 1532 km and a drainage area of approximately 1.507 × 10 5 square kilometers. The Hanjiang River basin belongs to the East Asia subtropical monsoon climate zone, with four distinct seasons; it has a mild and humid climate, abundant water, an annual average temperature of 15-16.5 • C, and an annual average precipitation amount of 700-1300 mm.

Data
The data used in this study included remote sensing image data, land-use data, meteorological station data, and statistical data; the data list is shown in Table 1.

Land-Use Change
The land-use transfer matrix is the main method used to quantitatively study the area change in different land-use types and reveal the mutual conversion between various types of land use. It can reflect the structural characteristics and change direction of land-use types in a study area with data [24]. The specific calculation formula is as follows: where i and j represent the land-use types of the Hanjiang River basin in 2000 and 2020, respectively; n represents the total number of land-use types; and s ij is the total area transformed from class i to class j in the study period. The normalized difference water index (NDWI) can partly eliminate the influence of the solar elevation angle, sensor angle, and atmospheric condition, and it can also be used to extract water information and accurately capture the change characteristics of large-scale water in a long time series. We used the NDWI to extract the water range.
The basic idea of the reservoir storage calculation process is to differentiate the entire reservoir into a finite number of regular quadrangular prisms with the same floor space and different lateral edge lengths in a direction perpendicular to the water surface. The length of the lateral edge is the elevation difference between the top and the bottom in the vertical direction. The volume of the regular quadrangular prism is the product of the lateral edge lengths and the floor space. Then, according to the principle of integration, the reservoir storage is equal to the sum of all differential regular quadrangular prism volumes [25]. The calculation formula for reservoir storage can be described as follows: where V represents the reservoir storage, S represents the floor space of the regular quadrangular prism, and H αβj represents the length of the regular quadrangular prism in the digital elevation model (DEM) pixel unit (α,β).
In the calculation process of the Danjiangkou Reservoir capacity, SRTM DEM UTM data from February 2000 were selected to simulate the bottom elevation of the reservoir (the water level at this time was 134 m, which was close to the lowest water level in history).

Temporal and Spatial Changes in the NDVI
In this paper, the slope of the least squares method (OLS) was used to establish the linear regression relationship between year (i) and the normalized difference vegetation index (NDVI) (X i ). The average annual NDVI change in the Hanjiang River basin before and after water diversion was analyzed. The slope formula of the OLS curve is as follows: (3) where the θ slope represents the change slope of variable X i , i represents the year, X i represents the NDVI value of the corresponding year in year i, and n is the study period. When θ slop > 0, the NDVI shows an increasing trend, and when θ slop < 0, the NDVI shows a decreasing trend.

Ecosystem Service Value Estimation
Ecosystem services refer to the natural environmental conditions and effects that human beings rely on to survive and sustain and all the benefits that humans receive directly or indirectly from ecosystems [26]. At present, the classification system of the Millennium Ecosystem Assessment project (MA) is the most influential in the study of ecosystem services classification [27].
In this paper, the classification of ecosystem services is based on the classification method of the MA. According to the characteristics of ecosystem services provided by the reservoir, the ecosystem service values of organic production [28], fixing carbon and releasing oxygen [29], climate regulation [30], water storage, conservation and supply [30], and hydropower generation [31] were estimated. The calculation methods of the different ecosystem service values are shown in Table 2. Table 2. Calculation methods of ecosystem service values.

Ecosystem Service Value Method
Organic production V = AQ 1 BQ 2 × P where: V-value of NPP (yuan); A-value of NPP (t · c/(hm 2 .a)); B-standard coal coefficient (1); Q 1 -heat converted by the material quality of NPP (kJ/g); Q 2 -heat converted by standard coal (kJ/g); P-price of unit standard coal (yuan/t). The heat converted from NPP material quality is 6.7 kJ/g, that of standard coal is 10 kJ/g, and the unit price of standard coal is 345.5 yuan/t.

Fixing carbon and releasing oxygen
2P q where V c -the value of carbon fixation (yuan); V q -the value of oxygen released (yuan); P c -the price of CO 2 fixed in the market (yuan/t); P q -the price of O 2 released from the market (yuan/t). According to the eighth forest ecological assessment, the value of carbon sequestration price is 1281 yuan/t. Based on the website of the Ministry of Health of the People's Republic of China (http://wsb.moh.gov.cn/ accessed on 9 October 2020), the average price of oxygen is 1299.07 yuan/t.

Climate regulation
V t = Q t × E t × P t where V t -service value of climate regulation (yuan); Q t -power consumption of unit volume water converted into steam (kWh/m 3 ); E t -water surface evaporation (M 3 ); P t -electricity price (yuan/kWh). Using the consumption of a humidifier to calculate the value of water surface evaporation to adjust the climate, taking the power of 32 W household humidifier, which is more common in the market as the calculation, the power consumption of converting 1 m 3 water into steam is approximately 125 kWh, and the electricity price is 0.3771 yuan/kWh.

Ecosystem Service Value Method
Water storage, conservation and supply The formula of the supply value of water source diversion is as follows: Q = V × P where Q-the water supply value of the reservoir; V-the water supply; and P-the water price.Water conservation service value formula: V r = Q r × P r where V r -water conservation service value (yuan); Q r -water conservation capacity (m 3 ); P r -construction cost per unit capacity (yuan/m 3 ). The annual investment cost of reservoir construction in China is 0.67 yuan for every one m 3 of reservoir capacity.
Hydropower generation V e = W e × P e where V e -the service value of hydropower generation; W e -the hydropower generation capacity; and P e -the market price. Figure 2 shows the spatial distribution of land use in the Hanjiang River basin in 2020. The land use in the upstream was mainly forest and cultivated land, while that in the downstream was mainly cultivated land and construction land. The cultivated land in the upstream was mainly distributed on both sides of the river, and the forest land was mainly distributed in the high altitude. The cultivated land in the downstream was mainly distributed in the Nanyang Basin and Jianghan Plain, and the construction land was mainly distributed around the central cities.

Land-Use Change
hold humidifier, which is more common in the market as the calculation, the power consumption of converting 1 m 3 water into steam is approximately 125 kWh, and the electricity price is 0.3771 yuan/kWh.

Water storage, conservation and supply
The formula of the supply value of water source diversion is as follows: where Q-the water supply value of the reservoir; V-the water supply; and P-the water price. Water conservation service value formula: where Vr-water conservation service value (yuan); Qr-water conservation capacity (m 3 ); Pr-construction cost per unit capacity (yuan/m 3 ). The annual investment cost of reservoir construction in China is 0.67 yuan for every one m 3 of reservoir capacity.
Hydropower generation e e e

V W P = ×
where Ve-the service value of hydropower generation; We-the hydropower generation capacity; and Pe-the market price. Figure 2 shows the spatial distribution of land use in the Hanjiang River basin in 2020. The land use in the upstream was mainly forest and cultivated land, while that in the downstream was mainly cultivated land and construction land. The cultivated land in the upstream was mainly distributed on both sides of the river, and the forest land was mainly distributed in the high altitude. The cultivated land in the downstream was mainly distributed in the Nanyang Basin and Jianghan Plain, and the construction land was mainly distributed around the central cities.   Table 3 shows the land-use change from 2000 to 2020. The land-use changes in the Hanjiang River basin were as follows: cultivated land, grassland, and forest decreased; water and construction land increased. Cultivated land, forest, and grassland decreased by 1331.82 km 2 , 36.2 km 2 , and 1969.63 km 2 , respectively, while water, construction land and unused land increased by 132.15 km 2 and 3205.5 km 2 , respectively. The land-use type with the largest area change was construction land, followed by grassland and cultivated land. The increase in construction land area mainly came from cultivated land, forest, and grassland. The decrease in cultivated land area was mainly converted into construction land. The decrease in grassland area was mainly converted to forest.

Landscape Pattern Change
Therefore, the transformation of land use from 2000 to 2020 was as follows: construction land encroached on cultivated land, forest and grassland, and grassland transformed into forest. The monthly average storage of the Danjiangkou Reservoir from 2000 to 2019 was composed of a time series (Figure 3), and the change characteristics and trend of the reservoir storage were analyzed. The reservoir storage fluctuated in the range of 6-26 × 10 9 cubic meters for a long time, with an average value of 1.18 × 10 10 cubic meters. However, the standard deviation of the monthly average reservoir storage was 2.3 × 10 9 cubic meters, which was 21.93% of the average reservoir storage for many years. This result showed that the reservoir storage was relatively stable between months. Under climate conditions and artificial storage, the reservoir storage is unlikely to increase or decrease sharply. into forest.

Water Area Change
The monthly average storage of the Danjiangkou Reservoir from 2000 to 2019 was composed of a time series (Figure 3), and the change characteristics and trend of the reservoir storage were analyzed. The reservoir storage fluctuated in the range of 6-26 × 10 9 cubic meters for a long time, with an average value of 1.18 × 10 10 cubic meters. However, the standard deviation of the monthly average reservoir storage was 2.3 × 10 9 cubic meters, which was 21.93% of the average reservoir storage for many years. This result showed that the reservoir storage was relatively stable between months. Under climate conditions and artificial storage, the reservoir storage is unlikely to increase or decrease sharply.
Based on the variation trend and fitting curve of the monthly average reservoir storage, the reservoir storage fluctuated in the range of 6-20 × 10 9 cubic meters with an average of 1 × 10 10 cubic meters before the water diversion project. After the water diversion project, the reservoir storage fluctuated in the range of 1-2.6 × 10 10 cubic meters with an average of 1.6 × 10 10 cubic meters, the reservoir storage showed a significant increasing trend, and the seasonal fluctuation of reservoir storage was enhanced.  Based on the variation trend and fitting curve of the monthly average reservoir storage, the reservoir storage fluctuated in the range of 6-20 × 10 9 cubic meters with an average of 1 × 10 10 cubic meters before the water diversion project. After the water diversion project, the reservoir storage fluctuated in the range of 1-2.6 × 10 10 cubic meters with an average of 1.6 × 10 10 cubic meters, the reservoir storage showed a significant increasing trend, and the seasonal fluctuation of reservoir storage was enhanced. Figure 4 shows the monthly average reservoir storage change for many years. From October to December, the maximum monthly reservoir storage was more than 2.2 × 10 10 cubic meters, and the values in other months were equal or less than 2.2 × 10 10 cubic meters. The reservoir storage reached 2.2 × 10 10 cubic meters a total of 17 times, the frequency of reaching this reservoir storage in each month was as follows: 2 in September, 5 in October, 4 in November, 4 in December, and 2 in January, which shows that the maximum reservoir storage appeared most frequently from October to December. The minimum monthly reservoir storage had no obvious fluctuation, with a value range of 7.9-9 × 10 9 cubic meters. The average monthly reservoir storage showed a trend of first decreasing and then increasing. It gradually decreased from January to May and increased significantly from June to October, reaching a maximum reservoir storage of 1.34 × 10 10 cubic meters at a rate of 7.08 × 10 8 cubic meters per month; finally, the value remained unchanged from October to December. The correlation coefficient between the monthly maximum reservoir storage and the monthly average reservoir storage was 0.85. monthly reservoir storage had no obvious fluctuation, with a value range of 7.9-9 × 10 9 cubic meters. The average monthly reservoir storage showed a trend of first decreasing and then increasing. It gradually decreased from January to May and increased significantly from June to October, reaching a maximum reservoir storage of 1.34 × 10 10 cubic meters at a rate of 7.08 × 10 8 cubic meters per month; finally, the value remained unchanged from October to December. The correlation coefficient between the monthly maximum reservoir storage and the monthly average reservoir storage was 0.85.  Figure 5 shows the change in the average monthly reservoir storage before and after water diversion. The figure shows that the average monthly reservoir storage before water diversion was 9-13 × 10 9 cubic meters, showing a trend of first decreasing and then increasing, specifically, the reservoir storage showed a decreasing trend from January to May and an obvious increasing trend from May to December. After water diversion, the average monthly reservoir storage ranged from 1.3 × 10 10 cubic meters to 1.8 × 10 10 cubic meters, which was approximately 1.44 times that before water diversion. In the trend, the seasonal fluctuation was small, the fluctuation increased from January to October and decreased from October to December. The monthly average reservoir storage increased significantly after the water diversion project, the monthly variation trend different from that before the water diversion project; additionally, the reservoir storage increased significantly in the dry season.  Figure 5 shows the change in the average monthly reservoir storage before and after water diversion. The figure shows that the average monthly reservoir storage before water diversion was 9-13 × 10 9 cubic meters, showing a trend of first decreasing and then increasing, specifically, the reservoir storage showed a decreasing trend from January to May and an obvious increasing trend from May to December. After water diversion, the average monthly reservoir storage ranged from 1.3 × 10 10 cubic meters to 1.8 × 10 10 cubic meters, which was approximately 1.44 times that before water diversion. In the trend, the seasonal fluctuation was small, the fluctuation increased from January to October and decreased from October to December. The monthly average reservoir storage increased significantly after the water diversion project, the monthly variation trend different from that before the water diversion project; additionally, the reservoir storage increased significantly in the dry season.

NDVI Changes
The NDVI in the study period was selected to monitor the change in vegetation cover ( Figure 6). Before the water diversion project, the average annual NDVI value in the Hanjiang River basin was 0.82, and the change rate was 3.5 × 10 −5 /year. After the water diversion project, the average annual NDVI value in the Hanjiang River basin was 0.85, and the change rate was −1.1 × 10 −5 /year. After the water diversion project, the NDVI showed a trend of degradation.

NDVI Changes
The NDVI in the study period was selected to monitor the change in vegetation cover ( Figure 6). Before the water diversion project, the average annual NDVI value in the Hanjiang River basin was 0.82, and the change rate was 3.5 × 10 −5 /year. After the water diversion project, the average annual NDVI value in the Hanjiang River basin was 0.85, and the change rate was −1.1 × 10 −5 /year. After the water diversion project, the NDVI showed a trend of degradation. The NDVI changes in the Hanjiang River basin before and after water transfer showed obvious spatial heterogeneity (Figure 7). From 2000 to 2019, the average annual NDVI increased by 75.88% and decreased by 24.12%. From 2000 to 2014, the NDVI showed an increasing trend, with 99.21% of the pixels showing an increasing trend and only 0.79% of the pixels showing a decreasing trend. In 2015-2019, the NDVI mainly increased, with 52.55% of the pixels showing an increasing trend and 47.45% of the pixels showing a decreasing trend. Compared with that before water diversion, the NDVI decreased significantly after water diversion. Spatially, the increasing trend of the NDVI upstream of the Danjiangkou Reservoir was significant before water diversion, while that downstream of Before the water diversion project, the average annual NDVI value in the Hanjiang River basin was 0.82, and the change rate was 3.5 × 10 −5 /year. After the water diversion project, the average annual NDVI value in the Hanjiang River basin was 0.85, and the change rate was −1.1 × 10 −5 /year. After the water diversion project, the NDVI showed a trend of degradation.
The NDVI changes in the Hanjiang River basin before and after water transfer showed obvious spatial heterogeneity (Figure 7). From 2000 to 2019, the average annual NDVI increased by 75.88% and decreased by 24.12%. From 2000 to 2014, the NDVI showed an increasing trend, with 99.21% of the pixels showing an increasing trend and only 0.79% of the pixels showing a decreasing trend. In 2015-2019, the NDVI mainly increased, with 52.55% of the pixels showing an increasing trend and 47.45% of the pixels showing a decreasing trend. Compared with that before water diversion, the NDVI decreased significantly after water diversion. Spatially, the increasing trend of the NDVI upstream of the Danjiangkou Reservoir was significant before water diversion, while that downstream of the Danjiangkou Reservoir was relatively stable. After water diversion, the NDVI decreased on both sides of the river upstream of the reservoir and mainly increased in other areas. In the Danjiangkou Reservoir and downstream of the reservoir, the NDVI showed a significant decreasing trend, and the areas with significant decreases were concentrated in the downstream central cities and the farming areas on both sides of the river.

Fixing Carbon and Releasing Oxygen
Fixing carbon and releasing oxygen means that plants convert carbon dioxide into oxygen through photosynthesis and fix carbon in carbon dioxide into plants. The value of fixing carbon and releasing oxygen of the Danjiangkou Reservoir ecosystem reflects the photosynthesis intensity of vegetation and microorganisms (cyanobacteria, etc.) in the reservoir and drawdown area, and the value showed interannual and seasonal changes with the intensity of photosynthesis (Figure 8). From 2000 to 2019, the annual variation in the value of oxygen release and carbon sequestration presented a fluctuating downward trend. The average value of carbon fixation and oxygen release services was 1.04 × 10 9 yuan/year, of which the value of oxygen release was 4.57 × 10 8 yuan/year, and the value  fixing carbon and releasing oxygen of the Danjiangkou Reservoir ecosystem reflects the photosynthesis intensity of vegetation and microorganisms (cyanobacteria, etc.) in the reservoir and drawdown area, and the value showed interannual and seasonal changes with the intensity of photosynthesis (Figure 8). From 2000 to 2019, the annual variation in the value of oxygen release and carbon sequestration presented a fluctuating downward trend. The average value of carbon fixation and oxygen release services was 1.04 × 10 9 yuan/year, of which the value of oxygen release was 4.57 × 10 8 yuan/year, and the value of carbon dioxide fixation was 5.85 × 10 8 yuan/year. After water diversion, the fixing carbon and releasing oxygen value decreased, and the rate was further accelerated. Before water diversion, fixing carbon and releasing oxygen value decreased at a rate of 7.7 × 10 6 yuan/year. After the water diversion project, the value of fixing carbon and releasing oxygen at a rate of 4.76 × 10 7 yuan/year, which was 6.17 times that before water diversion.  After water diversion, the fixing carbon and releasing oxygen value decreased, and the rate was further accelerated. Before water diversion, fixing carbon and releasing oxygen value decreased at a rate of 7.7 × 10 6 yuan/year. After the water diversion project, the value of fixing carbon and releasing oxygen at a rate of 4.76 × 10 7 yuan/year, which was 6.17 times that before water diversion.

Organic Production
Organic production refers to the use of solar energy to synthesize inorganic compounds (CO 2 , H 2 O) into organic matter. This production supports the whole life system and is the food foundation of all consumers and reducers. Figure 9 shows the sequence diagram of the organic production service value of the Danjiangkou Reservoir and the water level fluctuation area from 2000 to 2019. The annual change in organic production value showed a significant downward trend, with a change trend of 1.26 × 10 6 yuan/year.

Organic Production
Organic production refers to the use of solar energy to synthesize inorganic compounds (CO2, H2O) into organic matter. This production supports the whole life system and is the food foundation of all consumers and reducers. Figure 9 shows the sequence diagram of the organic production service value of the Danjiangkou Reservoir and the water level fluctuation area from 2000 to 2019. The annual change in organic production value showed a significant downward trend, with a change trend of 1.26 × 10 6 yuan/year.
The decrease in the organic production value ecosystem may have been caused by the increase in reservoir storage, the expansion of water area, and the decrease in water level area. After water diversion, the rate of decrease in the organic production value was further accelerated. Before the water diversion project, the rate of decrease in the organic production value was 5.03 × 10 5 yuan/year. After water diversion, the organic production value at a rate of 3.08 × 10 6 yuan/year, which was 6.14 times that before water diversion.

Climate Regulation
The reservoir regulates the climate through evapotranspiration and in other ways. The evaporation of the reservoir water surface and water level fluctuation area can be estimated by considering the rainfall, temperature, relative air humidity, reservoir water area and water level fluctuation area in different months. The climate regulation value of Danjiangkou Reservoir from 2000 to 2019 was estimated ( Figure 10).
From 2000 to 2019, the climate regulation value presented a fluctuating upward trend, with a change trend of 1.6 × 10 9 yuan/year. The maximum value appeared in 2016, The decrease in the organic production value ecosystem may have been caused by the increase in reservoir storage, the expansion of water area, and the decrease in water level area. After water diversion, the rate of decrease in the organic production value was further accelerated. Before the water diversion project, the rate of decrease in the organic production value was 5.03 × 10 5 yuan/year. After water diversion, the organic production value at a rate of 3.08 × 10 6 yuan/year, which was 6.14 times that before water diversion.

Climate Regulation
The reservoir regulates the climate through evapotranspiration and in other ways. The evaporation of the reservoir water surface and water level fluctuation area can be estimated by considering the rainfall, temperature, relative air humidity, reservoir water area and water level fluctuation area in different months. The climate regulation value of Danjiangkou Reservoir from 2000 to 2019 was estimated ( Figure 10).

Water Conservation and Supply Value
Based on the monthly water storage, rainfall, evaporation of the Danjiangkou Reservoir, the monthly water supply to the city, especially from the middle route of the SNWD, and the unit capacity cost of the Danjiangkou Reservoir (the total investment in reservoir construction was 2013 billion yuan, the capacity was 29 billion cubic meters, and the unit capacity cost was 6.94 yuan/cubic meter) were used to calculate the value of water conservation and supply in 2000-2019 ( Figure 11).
From 2000 to 2019, according to the fitting curve, the value of water conservation and supply increased gradually. The increasing trend of the water conservation value was relatively stable from 2000 to 2014, and the value of water conservation increased significantly from 2015 to 2019, which was 47.27 times that before water diversion. This result was related to the opening of the Danjiangkou Reservoir water diversion project. In December 2014, the Danjiangkou Reservoir began to transfer water. The amount of water transferred increased each month, and the value of the water supply also increased each month, reaching a maximum in 2019, with a water supply of 9.91 × 10 9 cubic meters and a value of 1.98 × 10 9 yuan.  From 2000 to 2019, the climate regulation value presented a fluctuating upward trend, with a change trend of 1.6 × 10 9 yuan/year. The maximum value appeared in 2016, reaching 8.33 × 10 10 yuan, and the minimum value appeared in 2003, reaching 5.55 × 10 10 yuan. Since 2014, the value of climate regulation has increased significantly, with a change trend of 2.7 × 10 9 yuan/year. The average value of climate regulation from 2000 to 2019 was 6.43 × 10 10 yuan/year, which included 5.65 × 10 10 yuan/year from 2000 to 2013 and 8.23 × 10 10 yuan/year from 2014 to 2016. This result may have been related to the heightening of the Danjiangkou Reservoir dam, the increase in reservoir capacity, and the increase in reservoir water area and reservoir drawdown area. The calculation of the climate adjustment value is mainly based on surface and water evaporation, and it includes the monthly temperature, precipitation, air humidity, and water area data. As a reservoir area with a large area of open water, the evapotranspiration amount is very high. By absorbing heat and providing water vapor, increasing air humidity and so on, the reservoir can affect the regional microclimate and influence global climate change. In the context of global warming, this value is more important to human beings.

Water Conservation and Supply Value
Based on the monthly water storage, rainfall, evaporation of the Danjiangkou Reservoir, the monthly water supply to the city, especially from the middle route of the SNWD, and the unit capacity cost of the Danjiangkou Reservoir (the total investment in reservoir construction was 2013 billion yuan, the capacity was 29 billion cubic meters, and the unit capacity cost was 6.94 yuan/cubic meter) were used to calculate the value of water conservation and supply in 2000-2019 ( Figure 11). atively stable from 2000 to 2014, and the value of water conservation increased significantly from 2015 to 2019, which was 47.27 times that before water diversion. This result was related to the opening of the Danjiangkou Reservoir water diversion project. In December 2014, the Danjiangkou Reservoir began to transfer water. The amount of water transferred increased each month, and the value of the water supply also increased each month, reaching a maximum in 2019, with a water supply of 9.91 × 10 9 cubic meters and a value of 1.98 × 10 9 yuan.

Hydropower Generation Value
Located on the dam of the Danjiangkou Reservoir, the Danjiang hydropower station is equipped with six Francis turbine generators with a total installed capacity of 9 × 10 5 kW and an average annual power generation of 3.83 × 10 9 kWh. The Danjiang hydropower plant relies on the reservoir storage to generate electricity, and the plant provides a considerable hydropower generation value. The annual power generation data obtained from From 2000 to 2019, according to the fitting curve, the value of water conservation and supply increased gradually. The increasing trend of the water conservation value was relatively stable from 2000 to 2014, and the value of water conservation increased significantly from 2015 to 2019, which was 47.27 times that before water diversion. This result was related to the opening of the Danjiangkou Reservoir water diversion project. In December 2014, the Danjiangkou Reservoir began to transfer water. The amount of water transferred increased each month, and the value of the water supply also increased each month, reaching a maximum in 2019, with a water supply of 9.91 × 10 9 cubic meters and a value of 1.98 × 10 9 yuan.

Hydropower Generation Value
Located on the dam of the Danjiangkou Reservoir, the Danjiang hydropower station is equipped with six Francis turbine generators with a total installed capacity of 9 × 10 5 kW and an average annual power generation of 3.83 × 10 9 kWh. The Danjiang hydropower plant relies on the reservoir storage to generate electricity, and the plant provides a considerable hydropower generation value. The annual power generation data obtained from the Danjiang hydropower station, Danjiangkou Reservoir flood control information network, and other channels were used to calculate the hydropower generation value, as shown in Table 4. Generating capacity *  29  29  21  34  33  47  29  26  24  43  44  41  43  30  18  37  21  25  42  29  Value *  11  11  8  13  13  18  11  10  9  16  17  15  16  11  7  14  8  9 16 11 * The unit of generating capacity is 1 × 10 8 kWh, and the unit of value is 1 × 10 8 yuan.
From 2000 to 2019, the total power generation of Danjiangkou Dam presented a fluctuating growth trend, with a relatively gentle growth trend of 1.4 × 10 8 kWh/year; however, the interannual fluctuation was large. The total power generation in the past 20 years was 6.47 × 10 10 kWh, with an average annual power generation of 3.24 × 10 9 kWh. The largest power generation was in 2005 with a value of 4.69 × 10 9 kWh, and the lowest power generation was in 2014 with a value of 1.75 × 10 9 kWh. The hydropower generation value of Danjiangkou Dam presented a fluctuating growth trend, with a change rate of 5 × 10 5 yuan/year. The total power generation value over 20 years was 2.43 × 10 10 yuan, and the average power generation value was 2.31 × 10 9 yuan/year. The highest power generation value was 4.18 × 10 10 yuan in 2005, and the lowest power generation value was 6.58 × 10 8 yuan in 2014.

Discussion
In this study, we propose a practical method for estimating water storage and its dynamics based on remote sensing images. Accuracy of storage capacity calculation is critical to research results. Our research lacks actual measurement data for verification; however, Liu et al. [25] used 30-m Landsat TM/ETM+ images to verify the storage capacity estimation results, and shown that the temporal variations in the water storage can be well represented using the remotely sensed estimates.
Danjiangkou reservoir play important roles in flood control, drinking water supply, irrigation, power generation, recreation, and navigation and other important benefits. However, the implementation of the water transfer project has also changed the ecological environment of the reservoir area [32]. Affected by climate change and artificial regulation, after the implementation of the water diversion project, the water storage of Danjiangkou reservoir increased significantly, and seasonal fluctuations increased, which is consistent with the research of Liu et al. [12]. With the development of the middle route of the SNWD and the popularization of the concept of ecological civilization, the local government has taken a series of ecological measures, including natural forest protection projects, returning farmland to forest projects, and a number of water conservancy compensation projects. The implementation of these projects has improved the regional vegetation coverage to a certain extent [33]. However, it was found that the implementation of a water diversion project aggravates the phenomenon of construction land occupying cultivated land and woodland. Additionally, the vegetation around the reservoir is periodically flooded, which affects the growth of the surrounding vegetation. In the downstream of the Danjiangkou Reservoir, vegetation degradation in the central city and the farming areas on both sides of the river is obvious, and this degradation is related to the rapid economic development leading to urban expansion, the phenomenon of construction land occupying cultivated land and woodland, and unreasonable agricultural farming methods.
With the water supply of the middle route project in 2014, the Danjiangkou Dam showed a decreasing trend in the values of oxygen release and carbon fixation and organic matter production. The implementation of the water diversion project has caused construction land to occupy woodland and grassland. Additionally, dam heightening has reduced the water volume in the middle and lower reaches of the Hanjiang River and has had adverse effects on agricultural irrigation. To pursue higher agricultural production benefits, people reclaim woodland and grassland for agricultural land, resulting in the reduction of carbon storage and the weakening of carbon fixation and oxygen release capacity. However, due to the implementation of the water diversion project, the discharge volume of Danjiangkou Reservoir has been reduced, the water level of the river channel has been lowered, the flow rate has slowed, some rivers have narrowed, and the water temperature has declined; these changes cause changes in the growth environment of aquatic organisms and further reduce the organic matter production capacity of the reservoir and the water level fluctuation zone [34].
The water quantity and ecological environment of the reservoir directly affect the safety of water diversion in the water source area. Currently, the implementation of the water diversion project has caused changes in the landscape patterns of the water source area and its watershed and has had some negative impacts on the ecological environment, especially in the middle and lower reaches of the reservoir area. Therefore, in follow-up regional planning, we should speed up the construction of the cascade channelization project of the middle and lower reaches of the Hanjiang River, the water diversion project from the Yangtze River to the Hanjiang River and the water supplement project of the Dongjinghe River, as well as the construction of the continued supporting and water-saving reconstruction project of the large-scale water diversion irrigation area of the Hanjiang River; additionally, we should establish a scientific ecological compensation mechanism. Furthermore, we should improve the security mechanism, strengthen the management of the river basin, establish nature reserves to enrich plant species, reduce the negative impact of landscape fragmentation caused by dam heightening, strengthen the connectivity of the ecosystem, and prevent the service network of the river basin ecosystem from being affected. In addition, efforts should be made to protect the ecological environment, implement policies and regulations on basin environmental protection, and plan and develop ecological protection as an industry [35].

Conclusions
Taking the Danjiangkou Reservoir and its Hanjiang River basin as the research object, combined with multisource data such as remote sensing images, land-use data, meteorological station data, and statistical data, this paper analyzed the dynamic changes in landscape patterns in the Hanjiang River basin from 2000 to 2019 and estimated the ecosystem service value of the Danjiangkou Reservoir area by using an indirect material conversion method based on market theory. On this basis, the ecological impact of the water diversion project on the water source area was analyzed. The main conclusions are as follows: During the study period, the land-use change in the Hanjiang River basin mainly showed decreases in cultivated land, grassland, and forest; and increases in water and construction land. The land-use types that changed significantly were construction land, cultivated land, and forest land, and the land conversion mode was mainly construction land occupying cultivated land, forest land, and grassland; additionally, grassland was transformed to forest land.
From 2000 to 2019, the average annual water volume of the Danjiangkou Reservoir was 1.18 × 10 10 cubic meters, the maximum water volume was 2.45 × 10 10 cubic meters, and the minimum water volume was 7.81 × 10 9 cubic meters. In the long term, the water volume of the Danjiangkou Reservoir showed an increasing trend, especially after the middle route of the SNWD was implemented in 2014, after which the water volume gradually increased. The direct reason for the gradual increase in water volume was the heightening of the dam and the increase in water storage. From the aspect of inter-monthly variations in reservoir storage, after the implementation of the water diversion project, the monthly average reservoir storage presented a significant increasing trend, and the seasonal fluctuation of reservoir storage was enhanced.
Before water diversion, the average annual NDVI value in the Hanjiang River basin was 0.82, and the change rate was 3.5 × 10 −3 /year. After water diversion, the average annual NDVI value was 0.85, and the change rate was −1.1 × 10 −3 /year. The water diversion project has had a great impact on the NDVI downstream of the Danjiangkou Reservoir, which was related to the destruction of the surrounding vegetation and the economic development downstream.
From 2000 to 2019, the order of ecosystem service value of the Danjiangkou Reservoir was as follows: water conservation and supply value > climate regulation value > hydropower generation value > fixing carbon and releasing oxygen value > organic production value. The ecosystem service value of the Danjiangkou Reservoir was mainly determined by the water conservation and supply, climate regulation value. With the additional water supply from the middle route project in 2014, the Danjiangkou Dam showed an increasing trend in the three values of water conservation and supply, climate regulation and hydropower generation, and a decreasing trend in the values of fixing carbon and releasing oxygen, organic production. Data Availability Statement: Data developed in this study will be made available on request to the corresponding authors.