Changes in the Invasion Rate of Prosopis juliflora and Its Impact on Depletion of Groundwater in the Northern Part of the United Arab Emirates

Prosopis species were introduced to the United Arab Emirates (UAE) region for desert greening. However, the species now pose a great threat to the native plant diversity. This study used high-resolution satellite imagery (1990–2019) to understand the history and current distribution of Prosopis species and their impact on fresh groundwater. The results show that the Prosopis invasion in the study area reached its maximum expansion rate in 2019 and covered an area of about 16 km2 compared to 0.2 km2 in 1990. The areas near Sharjah Airport, Umm Fannan, and Al Talla, located at a lower elevation of the sand dune area, are heavily invaded. Prosopis groundwater requirement derived using evapotranspiration shows that groundwater consumption has changed drastically after 2010 and consumed about 22.22 million m3 of groundwater in 2019, which is about a 7372% increase in groundwater consumption from the year 1990 to 2019. The results can be useful for setting up a management plan for the sustainable use of this species in the UAE region in particular and other similar countries in the arid land regions that are suffering from freshwater depletion because of Prosopis invasion.


Introduction
The groundwater in the United Arab Emirates (UAE) is limited and deteriorating due to overconsumption in the agricultural and industrial sectors. Moreover, the hot arid climate that receives limited rainfall, that evaporates, experiences a large amount of evapotranspiration that exacerbates the problem of groundwater resources in the UAE [1]. The achievement of a deeper understanding of the dynamics of invasive woody plant encroachment to determine its expansion rate and detrimental impact on fresh groundwater is a task of pivotal importance in the United Arab Emirates. Russell et al. [2] quantified the patterns of hydraulic redistribution by mesquite and assessed how this affects tree water use and productivity. They found that Prosopis juliflora (mesquite) switches between shallow lateral and deep taproots, which allow them to extract more groundwater. Further, the hydraulic redistribution would greatly enhance the moisture for the Prosopis plants. The increase in the number of introduced invasive species can change the social-ecological systems of a particular region [3][4][5].
Prosopis species are xerophytes that can thrive in harsh desert environments [6]. They can also grow in semi-arid, saline-alkaline soils where no other plant species except xerophytes grow. The ability of the plant to grow on sand dunes with scarce vegetation out in South Africa [39] and Abu Dhabi [40]. However, remote sensing technology-based studies have not been reported anywhere.
The focus of this study is to calculate changes in coverage of this species for over 30 years by using Landsat series remote sensing satellite data and its invasive impact on fresh groundwater declination. This study monitored the spread and propagation of the invasive P. juliflora in newly invested areas in the Ajman and Sharjah Emirates. We integrated geographic information system (GIS), remote sensing images, and meteorological station data to detect and quantify the rate of invasion around the most affected area in Ajman Emirate from the early 1990s to 2019. We also calculated its impact on groundwater by estimating evapotranspiration using Sharjah Airport meteorological station data. The mesquite tree (Prosopis) images in the Ajman Emirates are shown in Figure 1. Some images show the association and dense competition between the exotic P. juliflora and the native P. cineraria.
Plants 2022, 11, x FOR PEER REVIEW 3 of 17 implication of Prosopis spp. and the associated Vachellia karroo trees were conducted by [38] in South Africa. Moreover, the impacts of Prosopis on groundwater level and water use was carried out in South Africa [39] and Abu Dhabi [40]. However, remote sensing technology-based studies have not been reported anywhere. The focus of this study is to calculate changes in coverage of this species for over 30 years by using Landsat series remote sensing satellite data and its invasive impact on fresh groundwater declination. This study monitored the spread and propagation of the invasive P. juliflora in newly invested areas in the Ajman and Sharjah Emirates. We integrated geographic information system (GIS), remote sensing images, and meteorological station data to detect and quantify the rate of invasion around the most affected area in Ajman Emirate from the early 1990s to 2019. We also calculated its impact on groundwater by estimating evapotranspiration using Sharjah Airport meteorological station data. The mesquite tree (Prosopis) images in the Ajman Emirates are shown in Figure 1. Some images show the association and dense competition between the exotic P. juliflora and the native P. cineraria.

Study Area
The study area is located near a sand dune area between Al Ramanih, Sharjah and Al Talla, Ajman and extends between longitude 55°29′24″ to 55°36′36″ E and latitude 25°18′36″ to 25°23′24″ N as shown in Figure 2. Sand dunes cover the study area with small portions of built-up areas and farms. The area is surrounded by Al Hellio farms in the north, the built-up area in the east and the northwest, and the Sharjah Airport in the south.

Study Area
The study area is located near a sand dune area between Al Ramanih, Sharjah and Al Talla, Ajman and extends between longitude 55 • 29 24 to 55 • 36 36 E and latitude 25 • 18 36 to 25 • 23 24 N as shown in Figure 2. Sand dunes cover the study area with small portions of built-up areas and farms. The area is surrounded by Al Hellio farms in the north, the built-up area in the east and the northwest, and the Sharjah Airport in the south. The UAE climate is arid to hyper-arid, characterized by low rainfall and high temperatures with high relative humidity [41]. Table 1 shows the temperature and precipitation data The UAE climate is arid to hyper-arid, characterized by low rainfall and high temperatures with high relative humidity [41]. Table 1 shows the temperature and precipitation data collected from the nearest meteorological station in the study site at Sharjah Airport for the year 2019. Figure 2. Map of the investigated study area showing the invasive P. juliflora site. Inset image showing densely growing P. juliflora competing with the native P. cineraria, which results in death of native trees. There are two main seasons: summers are harsh and dry, and winters have mild-towarm temperatures. Rainfall is erratic and unpredictable in time and quantity all over the peninsula. In general, most rainfall happens in December-February [42]. Before the invasion of P. juliflora, these sandy dunes had scarce vegetation. The satellite images from Google Earth Pro are used to show a significant spread of mesquite in the area around Al Tallah racecourse, Ajman Emirate of the UAE, in Figure 3.  There are two main seasons: summers are harsh and dry, and winters have mild-towarm temperatures. Rainfall is erratic and unpredictable in time and quantity all over the peninsula. In general, most rainfall happens in December-February [42]. Before the invasion of P. juliflora, these sandy dunes had scarce vegetation. The satellite images from Google Earth Pro are used to show a significant spread of mesquite in the area around Al Tallah racecourse, Ajman Emirate of the UAE, in Figure 3.  The scarce vegetation of the study area is characterized by small xerophytic shrubs, herbs, and a few numbers of trees. Slate et al. [43] recorded the accumulation of a great amount of litter under and around the canopies of P. juliflora plants. Such litters inhibited the growth of most native plants, reducing the plant diversity and abundance. Prosopis cineraria is the native plant most affected by the growth of P. juliflora plants [43]. The trees of P. cineraria have special importance for the local environment and people of the UAE. It facilitates the environment in terms of the growth of several native species and provides food for animals and people [44]. The dispersal of the exotic P. juliflora seeds through grazing animals under the canopy of the native P. cineraria encourages the high-density growth of the exotic under the native Prosopis. The scarce vegetation of the study area is characterized by small xerophytic shrubs, herbs, and a few numbers of trees. Slate et al. [43] recorded the accumulation of a great amount of litter under and around the canopies of P. juliflora plants. Such litters inhibited the growth of most native plants, reducing the plant diversity and abundance. Prosopis cineraria is the native plant most affected by the growth of P. juliflora plants [43]. The trees of P. cineraria have special importance for the local environment and people of the UAE. It facilitates the environment in terms of the growth of several native species and provides food for animals and people [44]. The dispersal of the exotic P. juliflora seeds through grazing animals under the canopy of the native P. cineraria encourages the high-density growth of the exotic under the native Prosopis.

Data Collection
Multispectral and hyperspectral remote sensing data are important in the prior phases of exploration, particularly in arid and semi-arid regions [45]. In the current study, a set of multi-temporal and multi-source remote sensing data was collected from USGS Earther Explorer website to monitor and analyze mesquite (P. juliflora) changes over three decades. This includes four ortho-rectified cloud-free remote sensing images with dates 23 August 1990 (Landsat 4 satellite data), 23 August 2000 (Landsat 4-5 TM satellite data), 6 September 2010 (Landsat 7 ETM+ satellite data), and 14 April 2019 (Landsat 8 OLI), respectively.
Field data was acquired using a spectroradiometer and Trimble GPS in the preliminary stage of the project. Satellite data verification was completed using acquired field investigated GPS coordinates. The field site provided the training data used for supervised and feature (P. juliflora) extraction classification for the remote sensing images. They also provided data for accuracy assessment [46]. In the current study, P. juliflora canopy reflectance measurement was undertaken using a SVC Field Spectroradiometer. The SVC HR-768si is unmatched for high-resolution field measurements between 350 and 1900 nm, setting a new standard within the remote sensing community.
Landsat derived normalized difference vegetation index (NDVI) values were validated using field photographs and Quick Bird images obtained from Google Earth. This approach demonstrated an effective use of the remote sensing data and spatial analysis for vegetation studies: a combination of digital satellite images, GIS cartographic tools, and methods of spatial analysis of vegetation coverage are highly suitable and efficient for the monitoring of highly heterogeneous landscapes located in an area of intensive anthropogenic activities [47].

Data Analysis
The Landsat images were geo-processed for the detection of changes in the land cover types using ArcGIS and ENVI software. Remotely sensed data were initially co-registered with higher precision using 45 ground control points (GCPs) collected from the Quick Bird image to avoid any misregistration. The obtained Landsat images had Root Mean Square Error (RMSE) values of 0.23, 0.31, 0.35, and 0.29 pixels, respectively, and these images were improved by applying the enhanced Lee filter [48].
The normalized difference vegetation index (NDVI) was derived using Landsat images to monitor and analyze changes in Prosopis from each image using the ArcGIS raster calculator tool. NDVI is a dimensionless index, which describes the difference between visible and near-infrared reflectance of vegetation cover and is commonly used to estimate the density of vegetation in a region. NDVI is a direct indication of vegetation vigor and the vegetation state of the region. NDVI was calculated using Landsat satellite data bands as follows: RED and NIR stand for the spectral reflectance measurements acquired in the red and near-infrared regions, respectively. The produced NDVI maps were converted into vector format to calculate the total area in km 2 and the percentage for each map. The healthy and non-healthy Prosopis were discriminated based on the NDVI values, where dispersed Prosopis were shown to have a lower value (0.1-0.3), and dense Prosopis had high NDVI values (>0.3). Before monitoring Prosopis changes, an accuracy assessment was performed on each NDVI map using field observation. The image difference algorithm (ID) was applied to each pair of NDVI maps to monitor and detect Prosopis changes [49]. The resultant change detection map contains two different color codes: red highlights the changing area, while blue highlights areas with no visible change. To see the topographic difference in the study area, digital elevation model (DEM) data was generated from NASA's Shuttle Radar Topography Mission (SRTM) using ESRI ArcGIS Software.

Estimation of Evapotranspiration and P. juliflora Groundwater Requirement
Water is becoming an increasingly limited resource due to climate change and increased demands from a growing human population. Proper water management to enhance water usage efficiency is critical in arid climates where freshwater resources are scarce. Evapotranspiration (ET) is the sum of evaporation and plant transpiration [50]. The concept of reference crop evapotranspiration (ET o ) was introduced to study the evaporative demand of the atmosphere independently of crop type, crop development stage, and management practices [51,52]. The calculation of reference evapotranspiration is a very common method used to calculate the crop water requirement. There are several methods used to calculate or measure ET o . The most common methods are the Thornthwaite method and the Penman-Monteith method. The Thornthwaite method uses climate data that can be obtained from a weather station. To determine crop evapotranspiration (ETc), reference crop potential evapotranspiration (PET or ET o ) and crop coefficient (K c ) should be estimated. We used the Thornthwaite method to calculate the evapotranspiration (ET) in the study area by estimating the heat index using mean temperature of year 2019, as shown in Table 1. The Thornthwaite monthly ET o is determined with the equation proposed by [53] for a standard month of 30 days and days with a 12 h photoperiod by using the monthly mean temperature.
Using the Thornthwaite method, we can calculate Potential Evapotranspiration (PET); first, the Monthly Thornthwaite Heat Index (i) is calculated, using the following formula: where t is the monthly average temperature. The Annual Heat Index (I) is calculated as the sum of the Monthly Heat Indices (i): A Potential Evapotranspiration (PET) estimation is obtained for each month, considering a month is 30 days long and there are 12 theoretical sunshine hours per day, applying the following equation: where α is (4) Obtained values are later corrected according to the real length of the month and the theoretical sunshine hours for the latitude of interest, with the formula: N is the theoretical sunshine hours for each month and d number of days for each month.
The crop coefficient (K c ) of Prosopis was found to be about 0.77 [25], which is used to calculate ET crop , which is evapotranspiration calculated using mesquite as the reference crop. ET The crop water requirement (CWR) budget equation was used to calculate maximum groundwater consumption by Prosopis. The equation is described as follows: where ET crop is P. juliflora crop evapotranspiration, A is area (square meters), and 0.0254 is a conversion factor for ET (inch to meters).

Results and Discussion
3.1. Field Data: Identification of Mesquite (P. juliflora) Based on Reflectance Descriptive data and spectra were acquired during field research to analyze the main characteristics of Prosopis in Ajman. Each plant species possesses unique absorption features. In P. juliflora, broad/major absorption features were recorded at 679, 1440, 1769, and 1938 nm, while minor absorption features were at 416, 503, 976, and 1171 nm, respectively, as shown in Figure 4. All data recordings were obtained from the field spectroradiometer camera and were then decoded in ENVI software for the analysis. Figure 4 shows the spectral signatures of two different P. juliflora, having spectra recorded at close and far distances in the UAE region on 22 February 2019, particularly in the Ajman area (25 • 19 37 N, 55 • 32 60 E), acquired in the preliminary stage of the project. 022, 11, x FOR PEER REVIEW 8

Field Data: Identification of Mesquite (P. juliflora) Based on Reflectance
Descriptive data and spectra were acquired during field research to analyze the characteristics of Prosopis in Ajman. Each plant species possesses unique absorption tures. In P. juliflora, broad/major absorption features were recorded at 679, 1440, 1769 1938 nm, while minor absorption features were at 416, 503, 976, and 1171 nm, respecti as shown in Figure 4. All data recordings were obtained from the field spectroradiom camera and were then decoded in ENVI software for the analysis.

Monitoring Prosopis Change
The results show that the areas near Sharjah Airport, Umm Fannan and Al Tall cated at a lower elevation of sand dune area are heavily invaded by Prosopis specie distributed in clusters and dispersed forms. Topography of the area can be observ Figure 5, showing Al Tallah 1 region at 12 m elevation, whereas Al Hellio farms, and jah International airport are observed at 30 and 57 m elevations.
The results also show that dispersed Prosopis slightly invade the area near Al Mi (NE). The majority of Prosopis were found colonizing sand dune areas at a lower eleva near the built-up, agricultural area, and water body. Some higher elevated areas a sand dune corridors are not affected like low elevation regions. Such results suppor earlier findings that the growth of P. juliflora is better under the moist sandy sites drier ones under the local conditions of the UAE [27,32].

Monitoring Prosopis Change
The results show that the areas near Sharjah Airport, Umm Fannan and Al Talla, located at a lower elevation of sand dune area are heavily invaded by Prosopis species and distributed in clusters and dispersed forms. Topography of the area can be observed in Figure 5 In this study, the direction of Prosopis expansion was found in the NW-SE WNW-ESE directions. The image processing results also indicate very few Prosopis i area during 1990, as shown in Figure 6a. The estimated area was about 0.214 km 2 (0. of the total investigation site of 36.487 km 2 . In 1990, out of 0.214 km 2 of Prosopis, 0.019 (0.052%) was dense Prosopis. From 1990 to 2000, there was a significant increase in Pro growth from 0.214 (0.58%) to 5.21 km 2 (14.55%). In the year 2010, the Prosopis distribu was observed to be 5.31 km 2 . Dakhil et al. [18] expected a global high invasion rate juliflora with increasing temperature and soil alkalinity. The UAE climate is hot to hot most of the year, and the soil pH is alkaline [27,32,54]. The results also show that dispersed Prosopis slightly invade the area near Al Minzah (NE). The majority of Prosopis were found colonizing sand dune areas at a lower elevation, near the built-up, agricultural area, and water body. Some higher elevated areas along sand dune corridors are not affected like low elevation regions. Such results support our earlier findings that the growth of P. juliflora is better under the moist sandy sites than drier ones under the local conditions of the UAE [27,32].
In this study, the direction of Prosopis expansion was found in the NW-SE and WNW-ESE directions. The image processing results also indicate very few Prosopis in the area during 1990, as shown in Figure 6a. The estimated area was about 0.214 km 2 (0.58%) of the total investigation site of 36.487 km 2 . In 1990, out of 0.214 km 2 of Prosopis, 0.019 km 2 (0.052%) was dense Prosopis. From 1990 to 2000, there was a significant increase in Prosopis growth from 0.214 (0.58%) to 5.21 km 2 (14.55%). In the year 2010, the Prosopis distribution was observed to be 5.31 km 2 . Dakhil et al. [18] expected a global high invasion rate of P. juliflora with increasing temperature and soil alkalinity. The UAE climate is hot to very hot most of the year, and the soil pH is alkaline [27,32,54]. area during 1990, as shown in Figure 6a. The estimated area was about 0.214 km 2 (0.58%) of the total investigation site of 36.487 km 2 . In 1990, out of 0.214 km 2 of Prosopis, 0.019 km 2 (0.052%) was dense Prosopis. From 1990 to 2000, there was a significant increase in Prosopis growth from 0.214 (0.58%) to 5.21 km 2 (14.55%). In the year 2010, the Prosopis distribution was observed to be 5.31 km 2 . Dakhil et al. [18] expected a global high invasion rate of P. juliflora with increasing temperature and soil alkalinity. The UAE climate is hot to very hot most of the year, and the soil pH is alkaline [27,32,54].  Table 2 show the Prosopis distribution in the study area.  Table 2 show the Prosopis distribution in the study area.
The densest portions of Prosopis are mainly observed in Al Rahmanya (behind Sharjah Airport) and Al Talla (Ajman). Very few were found in Al Muntazi (northeast), next to Hamidiya, Ajman. Such a drastic increase in the density and sizes of the invasive Prosopis in 2019 could be explained by the large amounts of rainfall received in the UAE. It has been reported that March 2016 received 287 mm in 24 h [55]; the average annual rainfall in the study area is around 100 mm. The great amount of rainfall that occurred in March 2016 was explained by performing 77 seeding operations. This extraordinary rainfall reached the groundwater and enhanced the growth, especially in low-lying areas that received more water through runoff, such as Al Rahmanya and Al Talla.
Since 2010, Prosopis continued to increase, reached its maximum rate in 2019, and covered an area of about 15.99 km 2 (43.82%). In 2019, a notable clustering of Prosopis forests can be seen in the areas near Sharjah Airport, Umm Fannan, and Al Tallah, as shown in Figure 6d. There is a clear distinction between dense Prosopis and dispersed Prosopis areas in the NDVI maps. Dense Prosopis showed a high NDVI value (>0.3), while dispersed Prosopis showed a lower value (0.1-0.3) for NDVI. Figures 6 and 7 and Table 2 show the Prosopis distribution in the study area.  The densest portions of Prosopis are mainly observed in Al Rahmanya (behind Sharjah Airport) and Al Talla (Ajman). Very few were found in Al Muntazi (northeast), next to Hamidiya, Ajman. Such a drastic increase in the density and sizes of the invasive Prosopis in 2019 could be explained by the large amounts of rainfall received in the UAE. It has been reported that March 2016 received 287 mm in 24 h [55]; the average annual rainfall in the study area is around 100 mm. The great amount of rainfall that occurred in March 2016 was explained by performing 77 seeding operations. This extraordinary rainfall reached the groundwater and enhanced the growth, especially in low-lying areas that received more water through runoff, such as Al Rahmanya and Al Talla.

Prosopis Change Detection
The maps of detection changes obtained by using the image difference algorithm are shown in Figure 8. The map consists of two-color codes. The red color highlights the

Prosopis Change Detection
The maps of detection changes obtained by using the image difference algorithm are shown in Figure 8.  Figure 8. The areas coded with red color, which indicate a continuous increase in P. juliflora, are mainly in sandy areas subjected to great disturbance. The local environmental sectors in the municipalities of Ajman and Sharjah Emirates are continually eradicating the plants in areas with higher density. They usually remove the above crown, but not the superficial dense roots that reach more than 10 m away from the trunk. Such disturbance results in the stimulation of adventitious buds on the roots of the removed plants. In addition, soil disturbance brings buried seeds to the surface, enhancing germination and seedling emergence [8,9]. crown, but not the superficial dense roots that reach more than 10 m away from the trunk. Such disturbance results in the stimulation of adventitious buds on the roots of the removed plants. In addition, soil disturbance brings buried seeds to the surface, enhancing germination and seedling emergence [8,9].

Evapotranspiration and P. juliflora Water
The calculation of reference evapotranspiration (ETo) is a common method to calculate the crop water requirement. Evapotranspiration calculated using mesquite as the reference crop (ETc) using meteorological data from 2019 for the investigated area is shown in Table 3. The P. juliflora groundwater requirement derived using evapotranspiration shows a very high increase from 1990 to 2019, as shown in Table 4 and Figure 9. The calculated groundwater for the year 1990 was about 0.297 million m 3 , for an area of about 0.214 km 2 (0.58%) of the total investigated area. From 1990 to 2000, there was a significant increase in Prosopis growth, which consumed 2334% more groundwater making a total consumption of 7.239 million m 3 of groundwater, for an increased area of 5.31 km 2 (14.55%) of Prosopis invasion. Prosopis distribution changed drastically after 2010 and continued to spread over a large area, which consumed about 22.2197 million m 3 of groundwater, which is about a 7372% increase in groundwater consumption from 1990 to 2019. The great water consumption of P. juliflora might affect the groundwater level and competition with native shrubs, reducing biological diversity [38]. In addition, the continued depletion of the groundwater might also reduce the future invasive ability of Prosopis. However, the future pattern of Prosopis invasion in the investigated site could also be affected by leaking water from agricultural farms in the surrounding areas (via subsurface channels). Future monitoring programs for the groundwater level and the native biodi-

Evapotranspiration and P. juliflora Water
The calculation of reference evapotranspiration (ET o ) is a common method to calculate the crop water requirement. Evapotranspiration calculated using mesquite as the reference crop (ET c ) using meteorological data from 2019 for the investigated area is shown in Table 3. The P. juliflora groundwater requirement derived using evapotranspiration shows a very high increase from 1990 to 2019, as shown in Table 4 and Figure 9. The calculated groundwater for the year 1990 was about 0.297 million m 3 , for an area of about 0.214 km 2 (0.58%) of the total investigated area. From 1990 to 2000, there was a significant increase in Prosopis growth, which consumed 2334% more groundwater making a total consumption of 7.239 million m 3 of groundwater, for an increased area of 5.31 km 2 (14.55%) of Prosopis invasion. Prosopis distribution changed drastically after 2010 and continued to spread over a large area, which consumed about 22.2197 million m 3 of groundwater, which is about a 7372% increase in groundwater consumption from 1990 to 2019. The great water consumption of P. juliflora might affect the groundwater level and competition with native shrubs, reducing biological diversity [38]. In addition, the continued depletion of the groundwater might also reduce the future invasive ability of Prosopis. However, the future pattern of Prosopis invasion in the investigated site could also be affected by leaking water from agricultural farms in the surrounding areas (via subsurface channels). Future monitoring programs for the groundwater level and the native biodiversity are important to assess the risks associated with Prosopis invasion and deterioration of native plant diversity.  A previous study on Prosopis plants indicated a total groundwater consumption of 3.1-3.3 billion m 3 /year, using the Eddy covariance method in the Afar region (Ethiopia) [25]. Moreover, the consumption in Northern Cape (South Africa) was 70 m 3 /month, according to the Penman-Monteith methodology [27]. However, Al Yamani et al. [30] calculated water consumption of the two native trees (Prosopis cineraria and Ziziphus spina-christi) in Abu Dhabi, United Arab Emirates and found very low consumption (0.043 m 3 /day), using the single crop-factor approach. The current study used remote sensing technology and reported an estimate of 22.22 million m 3 /year in the studied region. Our results indicate that the multi-temporal and high-resolution remote sensing data captured from numerous satellites can examine the broad area of plant propagation in a distant and isolated area, having benefits over other techniques.

Conclusions
Prosopis distribution changed drastically after 2010 and spread over a large area, consuming about 22.219 million m 3 of groundwater in 2019. The water consumption in 2019 was about 7372% that of 1990. Prosopis consumed around 0.06 million m 3 of water per day in the invaded areas in 2019. Hence, this fast-growing exotic tree is likely to exacerbate the effects of climate change on the provision of ecosystem services through its impact on the ecosystem water budget. The groundwater depletion in the study area, mainly dunes, will threaten its xerophytic scarce vegetation, especially the native keystone P. cineraria.
Our study has added to the growing body of evidence regarding how rapidly mesquite has invaded the UAE, particularly in Ajman and Sharjah areas, and the negative impacts of this expansion on the UAE's natural ecosystems and the services they deliver. We applied NDVI to multiple sources of optical remote sensing data collected using Landsat series imagery. The healthy and non-healthy Prosopis were discriminated based on the positive NDVI generated map values, where dispersed Prosopis were shown to have a lower value (0.1-0.3), and dense Prosopis had high NDVI values (>0.3). The distinct invasive pattern of Prosopis in the study area can be affected by leaking water from agricultural farms in the Al Hellio area into the Prosopis area located at a lower elevation, through seawater intrusion (via subsurface channels) or by grazing in the study area. The growing evidence presented in this study and elsewhere of the widespread negative impacts of Prosopis invasions will continue to increase unless a solution can be found. Although Prosopis has some benefits for the Bedouin campsites, it has a serious negative impact on groundwater quantity in the area. Thus, removing and controlling the densest Prosopis in the study area is recommended. We recommend that a full assessment of the costs and benefits be carried out to inform policy decisions. Creating national strategic plans would also help guide management and prevent inefficiency in the future.

Informed Consent Statement: Not applicable.
Data Availability Statement: Data will be available on request.