1. Introduction
Coastal areas are among the most important parts of the earth’s environment [
1]. Coastlines are subject to change due to the interaction of social, political, economic, climatic, and environmental drivers at the local scale [
2]. Global warming and climate change-induced forces such as storm surges and sea-level rise are introduced as an additional layer to the complexity of coastal vulnerability [
3]. These climatic forces are related to many codependent parameters and covariant forces impacting the generation, flow, and distribution of sediments across the coastal systems of lakes [
4]. Moreover, anthropogenic interventions affect the natural dynamic processes of coastal ecosystems, causing the coastline to be more vulnerable to any stressors [
5]. Human activities toward coastal development have led to more coastal erosion and flooding hazards worldwide [
6]. These hazards and climate-driven long-term coastal erosion and flooding risks will affect marine ecosystems, infrastructures, freshwater quality, and other associated sectors.
Moreover, population density (both residents and visitors) is one of the key parameters affecting the carrying capacity of coastal systems through land-use/land-cover (LULC) changes. Consequently, it increases the vulnerability of these economically valuable zones to coastal erosion, flooding, and arable land loss [
7]. Therefore, loss, damage, and limitation in adaptation opportunities in coastal zones will follow an increasing trend [
3].
Extreme climatic events (e.g., tsunamis, storms, and cyclones) are the most forcible morphological evolution accelerators. LULC also acts as an effective parameter while being affected by climate change. The human presence is another effective accelerator of the coastal environment deterioration through both planned utilization of coastal resources and the side effect of their activities. Furthermore, increased exposure of low-lying and flat areas to other drivers of coastal morphodynamics is happening through relative sea-level rise [
8].
LULC change pattern is correlated with numerous interconnected parameters including legislation, land development, environmental, socio-economic, and demographic conditions [
9]. Monitoring spatiotemporal patterns of the LULC change could potentially reveal the role of socio-economic drivers of change in sustainable landscape management [
10]. Moreover, the format of the relationship between anthropogenic interventions and the natural environment characterized the spatial pattern of LULC change [
11]. From another perspective, core drivers of change in LULC are expressed as population growth, increasing demand for farmlands, biophysical parameters, and policy change [
12]. In this viewpoint, water scarcity, climate change, biodiversity loss, and habitat degradation are logical results of LULC change [
12]. For instance, rapid urbanization in natural resources would result in land and vegetation degradation, more water consumption, and urban heat islands [
13]. Furthermore, population pressure and agricultural development are the major driving forces of LULC change, mainly in favor of farmlands [
14], in regions with agricultural dominance economies.
Both climatic forces and human interventions result in changes in shoreline positions leading to erosion or accretion in coastal zones. Over time, detecting this change provides coastal managers and engineers with practical information to adjust their management plans. Remotely sensed data has shown its potential to detect shoreline changes over a large span of time through major earth observation instruments, including MSS, TM, ETM+, Sentinel, etc. Change detection of remotely sensed data covers an expanded type of detection from visual comparison to complex image processing schemes. More specifically, satellite data can provide a comprehensive view, including a wide geographic coverage, intermittent scanning of the same region, and multispectral data [
15]. These satellite images are very effective and reasonably accurate in mapping LULC allocations and transitions [
16,
17].
A variety of methods and techniques have been used to detect coastal changes, including field investigation and monitoring via laser and aerial photography. The main characteristics of these tools of high-resolution data at local and regional scales made them suitable for comparative analyses. However, researchers found these techniques were not cost-effective in large-scale monitoring projects. With satellite technologies and their free-access data advancement, remote sensing has become an attractive and efficient option for monitoring coastal morphodynamics [
8]. Shoreline extraction and configuration through remote sensing (RS) and geographic information system (GIS) data have been performed using various techniques, such as Laplacian filter [
1], Digital Shoreline Analysis System (DSAS) [
5,
18,
19], Postclassification Change Detection [
15], Normalized Difference Water Index (NDWI) [
20], Integrated Land and Water Information System (ILWIS) [
21], Histogram band thresholding method [
22], SHOREX System [
23], and other automated tools [
24]. For instance, the CoastSat toolkit for Python is an efficient automated tool for shoreline detection [
25].
Monitoring shoreline changes over time and its trends along with introducing the most influential driving forces of the change in the water bodies’ levels of eastern Lake Ontario is a vital step in assessing current shoreline vulnerability and future trends. This assessment should involve well-updated global warming and climate change data and scenarios to provide a set of noteworthy data valuable for coastal communities and shoreline managers to take the necessary actions and adjust their plans toward the sustainable management of the coastal area. In other words, detecting and monitoring the spatiotemporal shoreline changes is a promising pathway to finding how coastal systems behave to regulate the human pressure and natural processes [
7]. The aim of this study was to assess the recent coastal erosion/accretion trend in the study area and spatiotemporal changes in the total area of the East and West Lakes in association with LULC changes, extreme climate events, population growth, and future climate projection scenarios.
The shoreline positions of Lake Ontario have been affected by a set of drivers, including the level of wave energy, sediment volume and transfer, water body fluctuations, geotechnical characteristics of the coastal zone, anthropogenic activities, precipitation, rainfall intensity, and changes in winter ice cover due to increase in temperature [
26,
27].
3. Results
3.1. Overall Coastal Accretion/Erosion
The coastal erosion and accretion detected in different parts of the study area are shown in
Figure 2,
Figure 3 and
Figure 4. The figures demonstrate coastal changes from water to land as accretion and land to water as erosion from 1984 to 2020. Two parts are shown with more details from the adjacent Lake Ontario coasts (D and E), one part at the very end of the East Lake (C), one part at the eastern side of West Lake (B), and another zone at the narrow section of the baymouth dune between Lake Ontario and West Lake (A). The coastal change study revealed a considerable predominance of water-to-land transition in the region during the past four decades. However, there are some erosion points at East Lake and the adjacent Lake Ontario shores to West Lake. These coastal margin areas are introduced as the joint points between socio-economic, environmental, and development activities. Therefore, it is vital to monitor how potential climate changes affect the sustainability of these coastal margin areas in and around Lake Ontario and connected water bodies [
27].
3.2. Zonewise Erosion and Accretion from 1984 to 2021
Trends of coastal erosion/accretion in the region have been studied in two different periods, from 1984 to 2000 and 2000 to 2020.
Figure 2 shows these coastal changes in the last two decades of the last century, starting from 1984, and
Figure 3 shows coastal changes in the first two decades of the 21st century. A detailed description of the changes in each zone is expressed in
Table 2.
The total erosion/accretion trend in the study area is expressed in
Figure 4. Monitoring coastal changes in the region revealed that West Lake experienced water-to-land transition trend in some parts, while there was no detected erosion trend in the lake since 1984. This trend correlates with the changes in the lake’s total area (for more details, please see the spatiotemporal monitoring of the lakes). The accretion trend was slightly milder in East Lake, where eastern and southwestern parts of the lake faced water-to-land transition, especially in the last two decades of the previous century. However, a small stretch of land-to-water transition happened in the northwestern part of the very end of the lake. This trend is also correlated with the lake’s total area changes since 1984. In addition to this, and based on the detected changes, the lakeshores experienced a narrow strip of accretion in the southwestern parts of East Lake. The same has happened to the shallow water located at the eastern side of Sheba’s island in West Lake and some small patches in the Wellington harbor and Bloomfield Creek.
The coastal part of Lake Ontario alongside the dune pannes (between Lake Ontario and West Lake) showed a slight land-to-water transition, while the opposite trends were detected in zone D and the Outlet beach.
3.3. Shoreline Changes in the Study Area from 1985 to 2020
Shoreline detection using RS and GIS resources and tools is an opportunity to monitor shorelines’ recession/accretion due to water level fluctuations over time. Thanks to the availability of satellite images, researchers are able to analyze spatiotemporal changes in shoreline positions in a large span of time.
Like most parts of our planet, Sandbanks Provincial Park and the surrounding lakes have been under pressure from climate change forces. This study introduced an up-to-date spatiotemporal evolution in shoreline positions in the region since 1985 at five-year intervals (
Figure 5).
Results expressed that zone A faced both shoreline recession and accretion from 1985 to 2020. In the adjacent Lake Ontario, shoreline position fluctuations from 1985 to 2005 were bilateral. However, a slight shoreline recession has been observed since 2010. In the West Lake part of the zone, an accretion happened from 1985 to 1995, then it partially compensated in the next 10 years, and, thereafter, experienced a significant accretion to date. Zone B at the eastern side of West Lake showed a persistent accretion trend since 1985, except for a recession that happened in 1990.
Shoreline position fluctuations in East Lake around Flakes Cove (zone C) were not considerable between 1985 and 2010, while a notable accretion trend was found since 2010. The Outlet beach (zone E), which is connected to East Lake (via Outlet River), had no specific pattern in shoreline position changes. It showed sharp changes in shoreline positions in the first decade of the present century, with a final accretion trend since 2015 (
Figure 6). The same shoreline changes happened to zone D, where it had sharp landward changes (recession) in 2010 and 2015 with no certain pattern in the rest of the study period.
3.4. Monitoring the Total Area of West and East Lakes
Climate change-driven forces, global warming, Great Lakes water-level fluctuations, and other regional factors (e.g., LULC change) are the most influential parameters in determining West and East Lakes’ water level (and, consequently, the total area).
In a bigger frame, although sea levels are rising due to global warming, Lake Ontario water levels are projected to be 25–40 cm lower than the current long-term mean by 2080 [
27]. This trend, along with increasing drought events and evapotranspiration (according to the future climate change scenarios), affects the total area of the two lakes in the region. Hence, monitoring the changes in the water body of these two lakes (
Section 3.4.1 and
Section 3.4.2) provides valuable information for management and environmental protection purposes.
3.4.1. Spatiotemporal Changes in the Total Area of West Lake since 1984
Spatiotemporal monitoring of West Lake using 1599 satellite images detected the exact area of the water body from 1984 to 2021 (
Figure 7).
The lake’s total area was 19.8 km
2 in 1984. The lake experienced a period of descending trend in the water level from then to 1989. The highest water level in West Lake was recorded in 2006 when the lake’s total area was almost 2100 hectares. Some other remarkable high water levels were observed in 1991, 2002, and 2015. However, the lake level fluctuations in these periods were not relatively considerable, where the lake’s total area was between 19.2–19.6 km
2. West Lake has started a descending trend in the total area since 2008, with just three expansive records in 2011, 2015, and 2019 (
Figure 8 and
Figure 9). The most recent area of the lake was observed as 1880 hectares, which is the lowest record since 1984 (
Figure 10). The lake basin’s sharpest difference between the wettest and driest years (2006 and 2021, respectively) was detected as 220 hectares. This decrease in the total area of the lake has a direct effect on the volume of stored water, which impacts aquifers’ recharge, water supply, and natural habitats.
3.4.2. Spatiotemporal Changes in the Total Area of East Lake since 1984
As a large lagoon (historically named Spence Lake), East Lake covers almost 20% of the East Lake watershed. Published resources expressed that the watershed is around 68 km
2, and the lake area itself is approximately 12 km
2 [
32]. Spatiotemporal monitoring of the lake using 1599 satellite images detected the exact area of the water body from 1984 to 2021 (
Figure 11).
The total area was subject to change every year, with some sharp changes in certain years, where peak water levels were observed in 1991, 2001, 2011, 2015, and 2019 (
Figure 12 and
Figure 13). The highest peak happened in 2015 when the lake’s total area reached a new record of 12.75 km
2 (1275 hectares). The low water levels at the lake were observed in 1989, 1992, 2007, 2012, 2018, and 2021. The lake was faced with relatively prolonged low water levels from 1993 to 2000 and even lower water levels from 2012 to 2014. Except for two peak levels in 2015 and 2019, the lake water levels have been considerably below the mean long-term level, approaching 11,000 hectares in 2021 (
Figure 14).
3.5. Land-Use and Land-Cover (LULC) Changes
The LULC map of the study area in 2010 and 2021 is shown in
Figure 15. An overall accuracy and Kappa coefficient of 92.01% and 0.89 for the year 2010 and 91.31% and 0.88 for the year 2021 were achieved, respectively. Changes in different classes of the LULC from 2010 to 2021 are also shown in
Figure 16. More specifically, the data of these transitions between different LULC categories are analyzed in
Table 3.
Data in
Table 3 expressed a considerable decrease in the total areas of bare land (8.6%) and forests (2.7%), mainly in favor of croplands. Croplands’ expansion in the region was calculated at just over 7.3% since 2010. At the same time, areas with water coverage remained at the same level with an inappreciable increase of 0.07%.
3.6. Historical Climate Data and Future Projections for the Region
Many global climate models (GCMs) with a wide range of climate conditions have been developed to predict climate change in the future [
42]. Temperature and precipitation data are among the most important parameters for these climate models. The Climate Atlas of Canada has developed 24 different GCMs to project the future climate. The future climate conditions are highly correlated with the concentration of greenhouse gases (GHGs) in the atmosphere. These future GHG projections are referred to as Representative Concentration Pathways (RCPs). The high carbon scenario (RCP8.5) will be the case if GHG concentration continues to increase at current rates, while the low carbon scenario (RCP4.5) is projected based on a sharp reduction in GHG emissions [
42]. The Climate Atlas of Canada utilized advanced statistical techniques to create high-resolution (daily, 10 km) future projections for all of Canada. Climate conditions based on these two high and low emission scenarios for Prince Edward County (Trenton station) are shown in
Table 4 and
Table 5. Moreover, historical annual precipitation data for the county during the last four decades are shown in
Figure 17.
Table 4.
Historical data and future climate projection (RCP8.5: high carbon climate scenario) for Prince Edward County. Adopted from Ref. [
42].
Table 4.
Historical data and future climate projection (RCP8.5: high carbon climate scenario) for Prince Edward County. Adopted from Ref. [
42].
Variable | Period | Historical Data | Projection (Mean) |
---|
1976–2005 (Mean) | 2021–2050 | 2051–2080 |
---|
Precipitation (mm) | Annual | 877 | 937 | 969 |
Precipitation (mm) | Spring | 222 | 244 | 259 |
Precipitation (mm) | Summer | 197 | 201 | 197 |
Precipitation (mm) | Fall | 245 | 257 | 260 |
Precipitation (mm) | Winter | 213 | 235 | 253 |
Mean Temperature (°C) | Annual | 7.5 | 9.6 | 11.8 |
Mean Temperature (°C) | Spring | 6.2 | 8 | 10 |
Mean Temperature (°C) | Summer | 19.6 | 21.7 | 24 |
Mean Temperature (°C) | Fall | 9.4 | 11.6 | 13.6 |
Mean Temperature (°C) | Winter | −5.5 | −3.1 | −0.6 |
Tropical Nights * | Annual | 5 | 17 | 37 |
Very Hot Days (+30 °C) | Annual | 8 | 24 | 50 |
Figure 17.
Total annual precipitation data for Prince Edward County (Trenton station) since 1984. Adopted from [
44,
45].
Figure 17.
Total annual precipitation data for Prince Edward County (Trenton station) since 1984. Adopted from [
44,
45].
Historical annual precipitation data expressed that the highest and the lowest precipitation amounts in the last four decades were recorded over the previous five years, where 2017 had 1200 mm, and 2021 represented an extremely dry year with only 502 mm of precipitation [
44,
45].
Table 4 shows that annual precipitation in the study area will increase by 6.8 and 10.5% by 2050 and 2080. This increase will be 28 and 57.3% in mean annual temperature, 240 and 640% increase in the number of tropical nights, and 200 and 525% increase in extremely hot days by 2050 and 2080, respectively, if climate changes based on the high carbon scenario (RCP8.5). These changes will be slightly milder (but still high) if the low carbon scenario happens in the region (
Table 5). Based on the current assumption (RCP4.5), annual precipitation will increase by 5.1 and 8.4%, the annual mean temperature will increase by 25.3 and 38.6%, tropical nights will increase by 180 and 340%, and there will be a 162.5–300% increase in extremely hot days in the region by 2050 and 2080, respectively.
Table 5.
Historical data and future climate projection (RCP4.5: low carbon climate scenario) for Prince Edward County. Adopted from Ref. [
42].
Table 5.
Historical data and future climate projection (RCP4.5: low carbon climate scenario) for Prince Edward County. Adopted from Ref. [
42].
Variable | Period | Historical Data | Projection (Mean) |
---|
1976–2005 (Mean) | 2021–2050 | 2051–2080 |
---|
Precipitation (mm) | Annual | 877 | 922 | 951 |
Precipitation (mm) | Spring | 222 | 236 | 244 |
Precipitation (mm) | Summer | 197 | 200 | 203 |
Precipitation (mm) | Fall | 245 | 254 | 265 |
Precipitation (mm) | Winter | 213 | 232 | 240 |
Mean Temperature (°C) | Annual | 7.5 | 9.4 | 10.4 |
Mean Temperature (°C) | Spring | 6.2 | 7.9 | 8.8 |
Mean Temperature (°C) | Summer | 19.6 | 21.4 | 22.4 |
Mean Temperature (°C) | Fall | 9.4 | 11.3 | 12.2 |
Mean Temperature (°C) | Winter | −5.5 | −3.3 | −2.1 |
Tropical Nights * | Annual | 5 | 14 | 22 |
Very Hot Days (+30 °C) | Annual | 8 | 21 | 32 |
Higher temperatures, more tropical nights, and more extremely hot days will lead to more evapotranspiration. This trend could result in coastal accretion and more severe droughts in the region.
3.7. Extremes and Climate Events in the Region
Extreme climate events such as heat waves, severe rainstorms, ice storms, windstorms, coastal retreats, and droughts were increasingly happening and predicted to become more intense and frequent in the future [
46]. For instance, some studies expressed that the region is the most drought-susceptible area in southern Ontario [
47,
48], with a high risk of drought impact [
49].
Figure 18 shows the low water events based on levels of precipitation and streamflow in the Quinte region, including Prince Edward County (level 1 is the least and level 3 is the most severe low water condition).
The region’s annual low water data recorded by MNRF revealed that 11 years in the 2000s and 2010s faced drought conditions, mainly in late summer and early fall. Six of these years experienced level 2, and one severe drought period happened in 2016 with 30 weeks total duration [
49]. Based on
Figure 14, 2018 and 2019 had drought periods of 16 weeks, while annual precipitations in these two years were considerably above the long-term mean.
From an annual precipitation viewpoint, extreme wet periods were observed in 2000, 2004, 2006, 2008, and 2017, where the latest was the highest record over the previous two decades.
3.8. Population Growth in the County
Full-time residents of Prince Edward County were 25,841 (based on the Canadian Census records) in 2020, reaching just over 32,000 with seasonal residents [
50]. The county’s population has shown a 14.5% growth from 1976 (22,559 people) to 2020. In addition to this, the county is the host for Sandbanks Provincial Park visitors every year. Based on the park’s records, the visitors’ population was 328,898 in 1990, reaching 822,389 in 2020, showing a 150% growth in the visitors’ population in the last three decades. These vast population numbers could impact the natural environment and resources such as coastal areas and freshwater bodies. Climate change can also worsen this trend and the pressure on the resources as additional stress [
51].
4. Discussion
4.1. Zonewise Erosion and Accretion Monitoring
Based on the shoreline changes detection and erosion/accretion trends in the region since 1984, water-to-land transition (accretion) apparently can be seen in most parts of the study area. This transition has been found to be affected by several factors, including lake water-level changes, total annual precipitations, sand movements, and other hydrologic/climatic parameters. Spatiotemporal monitoring of the West and East Lakes was paralleled with annual precipitation data of the region, and other climatic extremes such as drought periods were added to the discussion. According to this, the present study explains the observed changes and trends for every zone.
Zone A showed considerable water-to-land transition in the West Lake portion of the zone. This constant change is mainly due to the decrease in the West Lake water level, especially in recent years. In the case of low water levels, shallow parts of the lake are faced with more accretion, impacting the local ecosystem and the related creatures in the long term. Furthermore, total annual precipitation has followed a descending trend since 2012 (except for a sharp peak in 2017), while the severity of the drought periods has grown to upper levels (levels 2 and 3). In addition, the highest sand dunes in this part (up to 18 m in height) are next to West Lake and migrate in a northeasterly direction, progressively depositing into West Lake [
36,
52]. This sand migration trend is primarily due to the wind force and direction.
On the other side of the zone located in Wellington Bay (Lake Ontario), coastal erosion has been observed mainly since 2000. This trend is primarily followed by Lake Ontario’s water level fluctuations and is projected to remain at the same level in the near future [
53].
Zone B, which includes shallow waters and coastal marshes, has faced considerable accretion since 1984. Based on the spatiotemporal monitoring of West Lake, the lake water level has started a descending trend (except a few wet years) since 2009. This trend resulted in an average lake area of about 19 km2, more than 4% smaller than the water body in 1984. This loss in the water body (around 80 hectares) has become chiefly visible in the shallow parts of the lake. Coastal marshes of Zone B are in the proximity of croplands. This water-to-land transition could potentially change the ecosystem and the microclimate of the zone, especially in drought periods and heatwaves. Moreover, this accretion trend will impact the sustainability of aquatic and terrestrial species in the zone in the long term.
Zone C at the very end of East Lake has continuously experienced coastal erosion on the northwest side of the zone since 1984 (in a narrow strip), while the lake’s total area has decreased by 2.6% in the last four decades. This decrease in the water body has been partially detected in the eastern and southeastern parts of the zone and southwest of East Lake (the Outlet River’s estuary). Climate change and global warming caused prolonged dry seasons/years in many parts of the world, with the consequence of less annual precipitation and less watershed flow budget to inland lakes. This trend has led to a narrow accretion ring on the eastern side of East Lake.
Zone D at the West Point, which includes an outcrop (exposed) of bedrock, has faced more exposure during the study period and showed a slight water-to-land transition. According to the texture of the coast, the main driver of the observed accretion at West Point is the lower water level of Lake Ontario in this region. Furthermore, this accretion trend at the point is going to continue as the future water level of the Great Lakes (including Lake Ontario) is projected to stand below the mean long-term level [
53].
Although Outlet beach and the Outlet River’s baymouth (Zone E) experienced some peak water levels, an accretion trend has been detected in the zone since 1984. This zone has been affected by the water level of both adjacent lakes (Lake Ontario and East Lake). The shoreline recession and low river flow rate have led to the expansion of Outlet Beach and the river’s baymouth. This expansion would be the most likely scenario for this zone due to the beach’s gentle slope. The gentle slope could accelerate the expansion of the beach in severe drought seasons, which are projected to occur with greater frequency and severity levels [
42]. Additionally, hydrologic droughts are predicted to be more severe in Canada throughout the next 50 to 100 years leading to droughts with durations of 35 to 55 weeks in a row [
54]. Hence, Outlet River would be at low water levels or drought conditions for longer durations in the future. This trend, alongside the other climate-driven forces, could result in more accretion and beach expansion in Outlet Beach and the river’s baymouth.
As a result, exposed rivers, beaches, and lake sediments (during low water conditions and rewetting) could enhance CO
2 and CH
4 emissions [
55].
4.2. Effects of LULC Changes on Coastal Ecosystems
LULC changes in the study area between 2010 and 2021 showed a tendency to use bare lands for other types of land use. At the same time, forests have lost 2.7% of their total area since 2010. On the other hand, croplands have replaced other land uses. This increase in farming demand has expanded the croplands’ area at a rate of 7.3% in the monitored period. These land-use changes could potentially affect the natural hydrological cycle of the region in both water bodies and groundwater. Forests, for instance, stabilize the quality and quantity of water, slow down erosion, and recharge and maintain the quality of groundwater [
56]. Forests also act as a host for some small streams and creeks in the region, helping them to survive in the changing climate. This opportunity contributed to preventing a decrease in the total coverage of water bodies in the study area since 2010 despite the observed accretion trend in the East and West Lakes.
In contrast, croplands are closely dependent on precipitation in the growing season. Then, in the low water conditions, which is projected to be the common trend in the region, croplands would add to more water consumption and contribute to the accretion trend in water bodies and a lower water table in groundwater resources. The mentioned lack of water availability would affect the region’s ecosystems and might change the structure of some aquatic and terrestrial habitats. Furthermore, wetlands and their crucial functions (especially in coastal protection) are more sensitive to these low water conditions, while their biodiversity and species richness could be more at risk [
57,
58].
Therefore, the observed LULC changes could be in line with climate change-driven forces to accelerate the detected accretion trend in the East and West Lakes.
4.3. Effects of Population Growth and LULC Changes on Coastal Sustainability
From community sustainability goals, proper land use is vital in providing necessary materials and ecosystem services to all active sectors in a region. These goods and services include food, biomass, biodiversity, natural areas, clean air and water, and human well-being [
59,
60]. The sustainability would be at risk when demands for specific land use conflict with the existing balance between different categories of LULC. This possible improper LULC could affect the sustainability of essential ecological services, aesthetics, and healthful living conditions [
61]. The detriment to ecological functions could be seen as more endangered species, decreased carbon storage [
62,
63], ecosystem vulnerability [
61], and more disruptions in the nutrient cycle [
64].
On the other hand, population growth would contribute to more LULC changes in the study area. The growing seasonal population would also add more pressure on freshwater resources as they visit the region primarily in relatively warm seasons. Hence, the county’s land-use planning was adopted to achieve sustainable development and avoid severe environmental disturbances [
65]. However, climate change and its consequences are increasingly visible in the prolonged low water conditions in the county. This trend, along with the growing population, could potentially cause more freshwater scarcity, especially in coastal areas of the region with high recreational activities.
This water demand would be added to the increasing water demand in the agricultural section, especially in low water conditions and drought periods. Finding sustainable supply resources for the cumulative water demand plays a crucial role in the sustainable management of the region amid the changing climate.
4.4. Climate Change-Driven Forces and Coastal Erosion/Accretion
Recreational and other unique values of the county have made the region a well-known tourism destination at the provincial and national scales. Data from Census Canada, along with the county’s visitors’ information, revealed that there was a growth rate of 140.5% in the county’s population (residents plus visitors) from 1990 to 2020.
Moderate and severe low water conditions, on the other hand, showed a 250% increase in the first two decades of the present century related to the available data of the last century. This increase has recognized Quinte watersheds among regions with the highest risk of water supply shortage in Ontario [
49].
As mentioned in
Section 3.4, the two main inland water bodies of Prince Edward County showed a descending trend in their total areas. Recent remote sensing data for West Lake in 2021 showed a 5% decrease in the total area related to 1984, while this rate is a 3.4% decrease for East Lake. These data are shown in
Figure 19 and
Figure 20 in blue bars. The two figures show changes in climate factors with potential impacts on coastal erosion and accretion by 2080 based on the mean data of 1976–2005. However, among all climate parameters, precipitation and temperature are structural climate factors that directly interact with human and natural systems [
66].
Figure 19 shows the projection for the low carbon emission scenario (RCP4.5) in light orange bars where the most considerable changes are expected in mean temperature and heatwaves. The mean annual temperature will also increase up to more than 25%. Moreover, this warming-up trend will add extremely hot days and nights by 162.5 and 180%, respectively. These hot days and nights could cover up to a length of one month, mainly in late spring and the entire summer period. On the other hand, the total amount of precipitation in summer would remain around the current mean level, while the total annual precipitation trend is to increase up to 8.4% by 2080 [
42].
Figure 20 shows the future projection based on the high emission scenario (RCP8.5) in red bars. This scenario will be the case if our planet continues with the current level of GHG emissions. More specifically, global warming will be more visible in Canada, where the observed and projected increase in mean temperature is two times greater than the global mean temperature [
66].
In the high emission scenario (
Figure 20), the quantities of mean temperature and extremely hot days and nights would significantly be more than the low emission scenario degrees. As a fundamental climate quantity, the mean temperature will increase up to more than 57% by 2080. This enormous warming quantity and a sharp increase in the occurrence of extremely hot days and nights (525 and 640%, respectively) [
42] would seriously impact water bodies and coastal ecosystems in the study area. In recent years, reported increases in surface water temperature have mostly been forced by higher temperatures in summer and spring. The United States Environmental Protection Agency (EPA) expressed that the warmer waters in spring and summer could be partially characterized by an earlier thawing of winter ice [
67].
These extremely hot periods could reach up to 50 days a year, impacting the water supply in the county. Total annual precipitation is also projected to increase by 10.5%, whereas summer precipitation is expected to remain at the current level [
42]. This increase in annual precipitation (in both high and low emission scenarios) would be more visible in winter than in any other season [
42,
66]. At the same time, extreme precipitation is expected to be more frequent in the region as well as the whole country [
66].
Observations and future projections of extreme temperature events in Canada align with the overall global warming trend. More specifically, extremely warm periods have become hotter and are projected to be elevated in the rest of the present century. On the other hand, extremely cold temperatures have become milder and are projected to be less cold in the future. The magnitude of these trends in both the hot and cold sides depends on the magnitude of changes in the mean temperature, which is mainly correlated with the emission scenarios [
68].
The projected increase in mean temperature would change the normal balance between photosynthesis and respiration in freshwater ecosystems such as the inland lakes in the study area. This balance changes with increasing temperature in favor of respiration, causing more GHG emissions from the freshwater bodies of the region [
69]. This extra emission from exposed freshwater lakes is estimated at about 320 mmol/m
2/year [
55,
70]. However, nearby terrestrial vegetation (if any) is a reasonable means to capture some extent of the emitted CO
2 from shallow wetlands during low water conditions [
70]. The imbalance could potentially contribute to accelerating climate change trends in the area.
5. Conclusions
The present study utilized Landsat images to detect coastal erosion/accretion trends and LULC changes in the southern part of Prince Edward County. Historical climate data and the most likely future climate scenarios were also used to detect and reveal the region’s present and future climate conditions.
The discussed warming trend (according to present data and future climate scenarios) would continuously result in a more extended growth period in the region. Hence, this enhancement in farming time (and other encouraging factors) could potentially increase the present demand for agricultural lands and consequently affect the LULC patterns of the study area. Furthermore, the observed and more potential changes in agrarian land demand would influence the hydrology and water consumption of the region, acting as additional stress on the water levels of the inland lakes and groundwater of the region. For instance, the volume of water consumption in Ontario’s agricultural section in 2016 was five times greater than the recorded amount in the Agriculture Water Survey of 2014 [
71]. This massive increase in agricultural water demand was highly correlated to low water conditions in the area (discussed with more details in
Section 3.7) from August to November, as expressed in the Ontario Low Flow Maps [
72]. Farmlands in Ontario mostly rely on direct precipitation and smaller inland water sources such as rivers, small lakes, and groundwater [
73]. Other sectors also use these local resources, including rural municipalities, rural commercial and industrial consumers, and golf courses [
74,
75]. Therefore, droughts, severe low water conditions, and lack of precipitation in the growing season would extensively affect farmlands and the other rural water users in the county. The growing population (mainly visitors) and projected expansion in agriculture activities could elevate this competition for freshwater. It will put extra pressure on the water reservoirs, resulting in more accretion in the region’s inland lakes through the changing climate. Therefore, shrinking would be the common trend in the East and West Lakes, where the climate change mitigating plans would moderate this accretion.
In total, the synergistic interaction of the discussed parameters would result in more water-to-land change (accretion trend) along with a lower groundwater table amid even a low carbon scenario. From another point of view, groundwater is a safe source of drinking water in climate change-driven disasters [
76], and overexploitation of this vital resource could result in lower agriculture production rates [
77,
78], a decline in water quality [
79], and more vulnerability among coastal communities [
80].
However, most adaptation programs for projected water-related issues are achievable at lower emission scenarios. This dependence reveals the role of climate change mitigation efforts in the success of future adaptation plans. For instance, the coastal wetlands accretion trend will affect 20–90% of their total area depending on climate change severity. This loss will seriously impact the wetlands’ roles in coastal protection, ecological balance, and carbon sequestration [
69].
Our study tried to fill some knowledge gaps in the consequences of population growth and climate and LULC changes on coastal erosion/accretion trends through utilizing GIS, remote sensing, and other local and nation-wide accessible data. Collaboration of regional authorities and provincial departments has been an added value to this research. Nevertheless, as the context of climate change is going to be more discussed and monitored in every part of the world, the results of this research could be beneficial to regional/provincial authorities, policymakers, and environmental advocates for the sustainable development of coastal communities, especially in the Quinte region. However, there are remaining critical knowledge gaps in the attribution of the climate-induced changes to freshwater quality and quantity (both surface and groundwater) in coastal areas and their societal impacts [
69], especially in Prince Edward County.