1 Cultural ecosystem services valuation for landscape planning

Cultural ecosystem services (CES) are inexorably linked to human well-being (de Groot et al. 2010, p 264; MEA 2005, pp 71–83). They are variously defined as the “nonmaterial outputs of ecosystems that affect the physical and mental states of people” (Haines-Young and Potschin 2013, p ii); and the “non-material benefits people derive from ecosystems” (MEA 2005, p 57). Consequently, CES integration into landscape planning and conservation decisions motivates public protection of ecosystems (Daniel et al. 2012, p. 8813; Plieninger et al. 2015, pp 29–30). However, challenges remain in translating CES into mainstream land use policy and for applications in landscape planning and management. This peculiar barrier relates to difficulties with the definition and quantification of CES (Dickinson and Hobbs 2017, p 182; Blicharska et al. 2017, p 56). A common feature of most CES is their incommensurability and intangibility, which renders, them almost impossible to measure or subjected to comparison, unless experienced (Dickinson and Hobbs 2017, p 183). Hence, utilization of market-based metrics for CES valuation risks exclusion of a wide array of CES in land use decision making (Chan et al. 2012a, b, pp 744–745). This is because human agency required for co-production of CES is based on perceptions and mindset transformation rather than capital, labor or technological inputs (Dickinson and Hobbs 2017, p 184). Furthermore, landscape changes are largely driven by human values (García-Llorente et al. 2012, p 137).

Values in this context connote the importance individuals or groups of people attach to CES (Brown et al. 2016, p 2; Scholte et al. 2015, p 68; de Groot et al. 2010, p 262). Alternative approaches to CES identification and valuation for landscape planning and management have relied on characterizations based on broader socio-cultural values and perspectives (Chan et al. 2012a, b, pp 8–18; Martín-López et al. 2012, pp 1–11) rather than restricting analysis to monetary factors. Utilization of participatory approaches has also enabled inclusion of a wide range of value domains to explore the roles of CES in landscape planning through solicitation of the diverse stakeholder perceptions and preferences within varied coastal landscapes and socio-cultural contexts (see Brown and Hausner 2017, pp 49–60). Furthermore, combination of participatory and spatially explicit valuation of CES allows identification and quantification of non-instrumental values as a means of bridging assigned values (physical features) and held values (object of importance) of CES users (Brown et al. 2016, p 2; Brown and Weber 2013, pp 192–208). Thus, participatory and spatially explicit mapping approaches are well suited for understanding the place-based and site-specific characteristics of CES (Jones et al. 2020; pp 124–137; Brown and Fagerholm 2015, p 120).

Incorporating the diverse stakeholder perceptions of CES in landscape planning has the potential of enhancing legitimacy of conservation land use plans and improving public support for their future implementation. Nonetheless, personal experiences introduce subjectivity in the appreciation of CES; hence, broad citizen participation is advocated in landscape planning and ecosystem management (Burkhard and Maes 2017, p 205). However, negotiating trade-offs among stakeholders and their diversity of values to produce sustainable outcomes in a socio-ecological system is a complex exercise in land management (Ellis et al. 2019, pp 86–87).

Recent advances in negotiating alternative land use visions have relied on participatory scenario planning. In the context of LUP, scenarios serve as decision support tools by incorporating multiple perspectives and sources of local knowledge through stakeholder-based visioning processes. The Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) has utilized scenarios to define visions of alternative futures of ecosystem services (ES), including CES, in Africa (IPBES 2018, pp xli-xlii). Scenarios have also been simulated and visualized in spatially explicit assessments of ES and for illustrating alternative land-use pathways in Northern Ghana (Koo et al. 2018, pp 1–21). However, the usefulness of land-use scenarios lies in their unique opportunity to nurture the mind, challenge ideologies, share ideas, inspire creativity and reinforce ecological ethics in socio-ecological practice (Xiang and Clarke 2003, pp 889–890). In socio-ecological practice, actors in the social system pursue actions that strive to attain sustainable outcomes in human–environment interactions through planning, design, construction, restoration, conservation and management (Xiang 2019, p 7). Recently, scenario-based research in land use planning has witnessed a shift from normative scenarios to the use of exploratory scenarios to address uncertainty and identify plausible and sustainable future land use pathways (Avin and Goodspeed 2020, pp 403–404; Plieninger et al. 2013, pp 1–16). Typically, in a rapidly changing landscape, exploratory scenario planning serves as a tool for stakeholders to analyze future uncertainties and complexities characterizing ecosystem-based management and related supply of ES (Plieninger et al. 2013, pp 1–16; Malinga et al. 2013, pp 1–22).

In the coastal landscapes of Southwestern Ghana, sustainable supply of ES faces an uncertain future due to multiple pressures driving rapid land use changes in this region (CEPF 2000, p 80; Daniels et al. 2021, p 11; Kankam et al. in preparation). Confronted with such coastal zone pressures, spatially explicit and empirical CES assessments are urgently required to facilitate integrated coastal landscape planning to ensure that people and nature benefit simultaneously from conservation and the development of coastal areas (Brown and Hausner 2017, p 50). Unfortunately, CES are not well understood and explored in Southwestern Ghana, thereby rendering their omission in regional and municipal spatial planning and landscape management (see MEST 2012, pp 1–195).

The present study aims to explore potential supply of CES under a business-as-usual (BAU) and alternative LUP scenarios using participatory and spatially explicit valuation approaches. We anticipate that land-use planning actors (LUPAs) have divergent perceptions of, and preferences for, land-use systems (Kleemann et al. 2017, pp 284–286) and the differences influence the regional potential to supply CES. Specifically, the study explores how LUP alternatives influence CES supply in the study location. It further characterizes the influence of different perceptions and preferences of LUPAs on scenario outcomes for CES supply. Finally, the study examines trade-offs and synergies between different CES to inform future land use decision-making and enhance the sustainability of CES supply.

2 Description of study area

The study area is situated within the Upper Guinean Forests eco-region which is defined as a biodiversity hotspot (CEPF 2000, pp 1–2). In Ghana, the study area lies in the Wet Evergreen Forest zone, and forms a part of the Greater Amanzule Wetlands (GAW) of Southwestern Ghana. Covering approximately, 362 km2, the study area extends from the Ankobra river estuary and stretches towards the Tano basin on Ghana’s southwestern boundary with Cote d’Ivoire (see Fig. 1). The area is characterized by a bi-modal rainfall regime, with peak rainfall in May to June and October to November each year. Mean annual rainfall is 1600 mm with a relative humidity of 87.5% (Ajonina 2011, p 7). It encompasses a relatively pristine and vast expanse of coastal ecosystems comprising swamp forests, freshwater lagoons, rivers, mangrove forests, terrestrial forests, agricultural lands and grasslands. Thus, this region is characterized by a relatively high diversity of flora and fauna (237 species of plants; 27 species of mammals and 26 species of demersal fish), including forest primate species (Osei et al. 2015, pp 25–40). The study area traverses three administrative boundaries in Southwestern Ghana, namely Nzema East Municipal Area, Ellembelle Municipal Area and Jomoro District. Characterized as a regional peatland ecosystem, this area is key to maintenance of regional water balance, conservation of wildlife habitats and mitigating climate change (Amoakoh et al. 2021, pp 3–4). The landscape supports fisheries and agriculture-based livelihoods of an estimated 100,000 local inhabitants. Majority of the local residents are farmers and fishers. Development of off-shore oil and gas resources off the coast of southwestern Ghana has subjected the coastal area to different land use intensities and to growing land use competition (Coastal Resources Center 2010, pp 11–23). There is over-dependence on mangrove forests by coastal dwellers for fish smoking while adjacent terrestrial forests are threatened by deforestation resulting from mining activities. These land use pressures are changing the governance dynamics of a predominantly community-managed coastal landscape.

Fig. 1
figure 1

Map of Southwestern Ghana showing study area

Recognizing these pressures on a coastal landscape of regional and national importance, state and non-state actors have initiated policies, plans and programs to address challenges confronting the coastal socio-ecological system. Hence, the coastal landscape has been the focus of spatial planning and ecosystem based-management initiatives spearheaded by environmental non-governmental organizations (NGOs), researchers, public agencies, local citizens and private sector entities.

2.1 Methodological framework

In this study, we utilized mixed methods which combined participatory approaches and a spatially explicit assessment method for identifying the impacts of alternative LUP (land-use planning) scenarios on the potential of CES supply in the region of southwestern Ghana. The assessment process consisted of four phases (Fig. 2). In the first phase, we classified the land-use/land-cover (LULC) and generated related LULC maps to characterize the existing biophysical situation in the study region (see sub-Sect. 2.2). The second and third phases enabled the collection and integration of LUPAs knowledge into scenario composition (see sub-Sect. 2.4). These phases comprised organizing workshops that allowed LUPAs to select and rank relevant CES and also adapt their definitions to reflect the regional context (see sub-Sect. 2.4.1). In the context of this study, LUPAs are considered to be the individuals, organizations or interest groups with a common interest to participate in a LUP process (Ligtenberg et al. 2001, p 44). Additionally, we utilized a spatially explicit modeling platform, GISCAME,Footnote 1 to generate spatially explicit land-use scenarios based on participatory mapping exercises with the LUPAs (see sub-Sect. 2.4.2). As illustrated in Fig. 2, GISCAME provides tools for participatory mapping and visualization of land-use scenario impacts under specified environmental conditions. This modelling platform also combines a cellular automaton with GIS features and a multi-criteria assessment approach (Fürst et al. 2010, pp 1–25; Koschke et al. 2012, p 59). Questionnaires were administered to elicit the perception of LUPAs on the potential supply of selected CES according to the LULC types (see sub-Sect. 2.4.3). In the fourth phase of the assessment, an evaluation was performed using GISCAME, to determine the regional potential to supply CES under different LUP scenarios. This revealed potential trade-offs and synergies between perceptions and preferences of LUPAs and the sustainability of CES supply (see sub-Sect. 2.5).

Fig. 2
figure 2

Methodological framework for assessing land use scenario impacts on future supply of cultural ecosystem services

2.2 Land-use/land-cover classification

To generate LULC maps, Landsat 5 TM (Thematic Mapper) data of 2000/2002 and Landsat 8 OLI (Operational Land Imager) data of 2016/2018 provided by the USGS (United States Geological Survey) Earth Explorer database system were utilized. The raw images were taken during the same season and free of cloud cover. Dataset obtained from February 02, 2000, and January 26, 2018, comprised the two time periods selected for further processing. Subsequently, processing and post-classification steps were completed using the software packages Erdas Imagine 2015 and ArcGIS v17.1. Prior to interpretation, image pre-processing, including geometric and radiometric corrections, was performed for each of the images. Data were geometrically corrected and projected to the Universal Transverse Mercator (UTM) zone 30 N. After image pre-processing, supervised classification methods and maximum likelihood algorithms were used for preparing LULC maps and the derived LULC categories were assigned according to the descriptions of the Land Cover Classification System (LCCS). The LCCS is a hierarchical a priori classification scheme which provides a flexible framework for identifying land use classes in highly heterogeneous landscapes such as those found in the study area (Di Gregorio and Jansen 2000, pp 12–36). Eight land-cover classes were derived and change analysis conducted using the Land Change Modeler embedded in the Idrissi TerrSet software (see Table 1, and Fig. 3).

Table 1 Description of LULC types and their changes in the study area in 2000 and 2018
Fig. 3
figure 3

Major land-use/land-cover types in the study area

2.3 Identification of land-use planning actors

We utilized the criteria indicated in Table 2 to select representatives of researchers, land use planners, land owners, farmers and NGO professionals for the workshop on identification of relevant CES. Selection and inclusion of these LUPAs in the workshop were based on their individual and collective influences on LUP and land management decision-making processes in the study region (Acheampong 2019, p 162; Kleemann et al. 2017, pp 284–286). Regarding Ghanaian spatial governance context, farmers/landowners are key decision-makers and implementers of land-use plans at the parcel level. Researchers and environmental NGO professionals are boundary actors. Their key functions in the planning process involve bridging knowledge and enhancing communication between diverse stakeholders (Mwangi and Wardell 2013, p 90). Regional and municipal LUP officials provide the requisite technical inputs for land-use plans preparation and final approval of plans. It is important to note that the participation of these actors in LUP is sanctioned by Ghana’s tiered system of decentralized spatial governance (Agyemang et al. 2017, pp 72–73; MEST 2011, p 37).

Table 2 Profile of selected land-use planning actors, selection criteria and motivation for grouping in workshop sessions

2.4 Collection and integration of land-use planning actors’ knowledge

2.4.1 Identification of relevant cultural ecosystem services

A list of CES was compiled from literature on the basis of ES classification and typology of Burkhard et al. (2009, p 18), MEA (2005, pp 58–59) and Peh et al. (2017, pp 220–221) and provided to LUPAs as input during a workshop organized for their identification of CES which are relevant to the regional context. The LUPAs were asked to list all cultural benefits or practices that are perceived to be important for connecting people to the landscape. Pictures of key landscape features, species and artefacts were provided for orientating their thoughts and stimulating open dialogue on cultural benefits of the landscape. Through free-listing, the LUPAs identified CES supplied by the landscape and performed ranking exercises to prioritize the most relevant CES (see Sect. 3.1). Using this approach, the perspectives of LUPAs, regarding the importance and categorizations of the various benefits provided by the regional landscape were revealed (Infield et al. 2015, p 25). Outcomes of free-listing and prioritization of relevant CES and results of the LULC classification were utilized as inputs to develop the LUP scenarios and for designing the survey questionnaire.

2.4.2 Development of land-use planning scenarios

We developed four future alternative LUP scenarios to explore potential increase in supply of relevant CES under given regional environmental conditions. The developed scenario outcomes were compared to the business-as-usual scenario. The scenarios are spatially explicit representations of LULC trends and were developed during a 3-step process. In the first step, visions were articulated by LUPAs. The visioning exercise was informed by LULC trends revealed in the LULC classification, LUPA’s knowledge on the drivers of land-use changes in the region and their future land-use preferences. LULC maps, photographs and ortho-rectified images of the landscape were utilized during an open dialogue with the representatives of LUPAs to develop scenario narratives during the second step. The final scenario narratives were derived on the basis of consensus reached through the dialogue process. Due to the unfamiliarity of LUPAs with the concept of ES, we provided additional information throughout the workshops to frame discussions around future alternative LUP scenarios for CES supply. During the final step, the visions and scenario narratives were used to develop spatially explicit representations of future alternative LUP scenarios for CES supply in the study region. This was performed through participatory mapping exercise during which LUPAs used the GISCAME free hand tools. The participatory mapping exercise was facilitated by projecting the 2018 LULC map (baseline situation) on a screen and new landscape features were added on the baseline map on the basis of consensus reached by LUPAs, regarding an optimal representation of alternative future land-use scenarios (see Table 4). Using this approach, the knowledge of the selected LUPAs concerning the objectives of existing plans such as the Western Region Spatial Development Framework (WRSDF) was harnessed to inform scenario development (Inkoom et al. 2017, p 74; Inkoom et al. 2018, p 396).

2.4.3 Questionnaire survey

Questionnaire survey was employed to elicit individual LUP actor’s perceptions of land-use impacts on the supply of relevant CES under the future alternative LUP scenarios and specific regional environmental conditions. The questionnaires were organized in four sections with each section corresponding to a LUP scenario. The evaluation was done as follows: a) on a scale of 1(very low) to 5 (very high), the relative CES provisioning potential of the eight LULC types; b) on a scale of 1(very low) to 5 (very high), the probability of conversion from one LULC type to another; and c) on a scale of 1(low) to 3(high), the impact of LULC conversions on the potential supply of CES (Koschke et al. 2012, pp 57–59; Inkoom et al. 2018, pp 396–397). Respondents completed their evaluation simultaneously against given environmental conditions, namely slope, elevation, tidal influence and soil. Environmental attributes are important as they influence land-use changes and land-use decision making in ES-based planning (Canedoli et al. 2017, p 10). For example, along the coast, mangrove forests are restricted in their habitat range due to site characteristics such as topography and tidal influences. Consequently, attribute information that describes tidal influence was applied to the simulated mangrove ecosystem restoration scenario. Finally, respondents provided a confidence rating for their evaluation. Overall, 61 respondents participated in the survey.

2.5 Impact assessment of land-use planning scenarios

Likert-based scores from the questionnaire were standardized by expressing the values from 0 (the minimum potential of the LULC type to provide the specific cultural ES) to 100 (the maximum potential of the LULC type to provide the specific cultural ES). Standardization facilitates comparison of ES values assigned to LULC types with the same value unit (Koschke et al. 2012, p 59). The ES values were presented in an assessment matrix which depicts the relationship between LULC types and their capacity for CES supply.

The simulated future alternative LUP scenarios were coupled with the ES assessment matrix in GISCAME and the results displayed as spider charts and tables with values denoting the mean capacity of the region to supply CES. Impacts of LUP scenarios on CES supply were expressed as the difference between the mean CES values of the business-as-usual (BAU) scenario and the simulated land-use scenarios. Synergies were characterized by agreement among LUPAs regarding concurrent increase or decrease in supply of CES, whereas trade-offs depicted increase in one CES with concurrent decrease in the same service according to actors’ perceptions (Koo et al 2019, p 162).

Kruskal–Wallis test was conducted using SPSS (v.19) to examine whether perceptions and preferences among the different groups of LUPAs regarding land use changes and environmental conditions (soil, elevation, tidal influence, extent of afforestation) influenced the regional performance to supply CES. The Kruskal–Wallis test is appropriate as it compares the medians between three or more independent groups to determine similarities or differences on a dependent variable measured on an ordinal scale (Jargowsky and Yang 2004, p 260). For this study, farmers/landowners, NGOs/researchers and planners comprised the three independent groups while the dependent variables were their perceptions of, and preferences for, CES supply under specified land use scenarios, LULC conversions and environmental conditions.

3 Results

3.1 Identified relevant cultural ecosystem services

Relevant CES supplied by the regional landscape are shown in Table 3. Definitions of CES were derived from literature and adapted by LUPAs to fit the socio-cultural context of the study region. Relevant CES were prioritized by LUPAs in the following order: science/education, spiritual, tourism, recreation and health benefits.

Table 3 Relevant cultural ecosystem services supplied by landscapes in Southwestern Ghana as identified by land-use planning actors

3.2 Future alternative land-use planning scenarios

The scenario development workshops resulted in the composition of four spatially explicit future alternative land-use scenarios aside the BAU scenario. These comprised mangrove ecosystem restoration; mangrove ecosystem restoration and rubber plantation expansion; road and coastal tourism infrastructure expansion; establishing green network by 10% and 30% afforestation as shown in Table 4.

Table 4 Business as usual and future alternative land use planning scenarios for CES supply in Southwestern Ghana
Table 5 Differences in perceptions and preferences for CES supply between groups of land use planning actors on the basis of land-use scenarios, LULC conversions and environmental influences. Significance = p < 0.05; df = degrees of freedom; N = 61

3.3 Impact assessment of land use scenarios

3.3.1 Impact of mangrove ecosystem restoration

Regarding the scenario for restoration of mangrove ecological processes, LUPAs perceived a potential increase in the regional potential to supply all five relevant CES, which indicated positive synergies between CES according to the preferences of farmers/landowners, NGOs/researchers and planners. However, as shown in Fig. 4 A, B and C, an increase in the potential supply of CES by this scenario was only marginal compared to the BAU scenario. Mangrove forests are adapted to brackish water environments in low lying coastal mudflats. Consequently, unlike other land-cover types, mangrove forests are confined to the coastal intertidal zone as shown in Fig. 4; hence, mangrove-related CES and benefits may be less well perceived than CES supplied by other land-cover types with larger geographical range (Table 5).

Fig. 4
figure 4

Spider charts displaying assessment results of the regional potential to supply cultural ecosystem services influenced by mangrove ecosystem restoration scenario. A results from farmers/landowners (B) results from NGO professionals and researchers (C) results from planners

3.3.2 Impact of mangrove ecosystem restoration and expansion of rubber plantations

A combined mangrove ecosystem restoration and rubber plantations expansion scenario showed an increase in the regional potential to supply science/education, spiritual, tourism, recreation and health benefits. However, as shown in Fig. 5B, NGOs/researchers perceived marginal increases in the regional potential to supply all CES compared to the BAU scenario. As depicted in Fig. 5A, the regional potential to supply science/education and tourism benefits as well as to motivate nature-based spiritual experiences were highly perceived by farmers/landowners. On the contrary, the supply of recreational and health benefits was perceived to a lesser extent by farmers/landowners. Planners also perceived a relatively high regional potential to supply tourism and science benefits (see Fig. 5C). However, contrary to farmers/landowners, planners considered a high regional potential to supply health benefits as shown in Fig. 5C. This suggests trade-offs in the perceptions between farmers/landowners and planners regarding the regional potential to supply health benefits in the context of combined mangrove ecosystem restoration and rubber plantation expansion scenario.

Fig. 5
figure 5

Spider charts displaying assessment results of regional potential to supply cultural ecosystem services based on mangrove ecosystem restoration and rubber expansion scenario. A results from farmers/landowners (B) results from NGO professionals and researchers (C) results from planners

3.3.3 Impact of road and coastal tourism infrastructure expansion

This scenario is derived from a market-oriented scenario archetype, which is characterized by the expansion of the N1 highway, connecting road networks and tourism infrastructure dotting the coastline. As shown in Fig. 6A, all LUPAs perceived an increase in the regional potential to supply spiritual, science/education, health, tourism and recreational benefits. Nonetheless, farmers/landowners perceived only marginal increase in potential supply of tourism benefits compared to the BAU scenario. On the other hand, NGOs/researchers and planners perceived a relatively high regional potential to supply tourism benefits (see Fig. 6B and C). This suggests positive synergies between NGOs/researchers and planners regarding the supply of tourism benefits under this scenario.

Fig. 6
figure 6

Spider charts displaying assessment results of regional potential to supply cultural ecosystem services based on road and coastal tourism infrastructure expansion scenario. A results from farmers/landowners (B) results from NGO professionals and researchers (C) results from planners

3.3.4 Impact of establishing green network by afforestation

The visualization of green network scenario outcomes illustrated similarities but also marked differences in how LUPAs perceived a future green network situation in the region. Farmers and land-owners, preferred a green network which traverses the edges of coastal wetlands and connects with upland forests as depicted in Fig. 7A. On the other hand, NGOs, researchers and planners were in favor of creating a green network along river courses to connect with upland forests as shown in Figs. 8 and 9, respectively. A major contrast between other LUPAs and planners is the preference by the latter for planting native vegetation along trunk and arterial roads as illustrated by Fig. 9. This viewpoint was supported by their argument that along road corridors, native trees serve the purpose of implementing additional planning restrictions against settlement and other infrastructure encroachment on land earmarked for future road expansion.

Fig. 7
figure 7

Spider charts displaying assessment results of regional potential to supply cultural ecosystem services based on establishing green network by 10% and 30% afforestation according to farmers/landowners’ preferences

Fig. 8
figure 8

Spider charts displaying assessment results of regional potential to supply cultural ecosystem services based on establishing green network by 10% and 30% afforestation according to NGOs/researchers’ preferences

Fig. 9
figure 9

Spider charts displaying assessment results of regional potential to supply cultural ecosystem services based on establishing green network by 10% and 30% afforestation according to planners’ preferences

Considering the preferences of planners, establishing green network by 30% afforestation increased regional potential to provide recreation and tourism benefits while at 10% afforestation, recreation benefits were maintained and tourism services decreased compared to the BAU scenario as shown in Fig. 9. Nonetheless, 30% afforestation was associated with trade-offs in the preferences between planners, NGOs/researchers and farmers/landowners regarding the potential of the region to provide tourism and recreation benefits. At 10% afforestation, nature-based spiritual experiences decreased compared to the BAU scenario whereas at 30% afforestation, nature-based spiritual experiences were maintained considering the preferences of all LUPAs (see Fig. 7, 8 and 9).

This implies regional potential to provide nature-based spiritual experiences will not be enhanced by implementing future green network land-use scenarios as negative synergies are inherent in such a land-use decision. Regional performance regarding science/education benefits at 10% afforestation also decreased according to the preferences of farmers/landowners and NGOs/researchers compared to the BAU scenario, depicting negative synergies. This contrasts with an increase in the regional potential to supply science/education services at 10% afforestation, considering preferences of planners.

3.4 Comparative assessment of actors’ preferences and perceptions

Kruskal–Wallis test was conducted using SPSS v19 to examine whether perceptions and preferences among different groups of LUPAs regarding land use changes and environmental conditions (soil, elevation, tidal influence, extent of afforestation) influenced the regional performance to supply CES. No significant difference was found among the LUPAs (H(2) = 1.33; p = 0.51) regarding their perceptions on CES supply in the mangrove ecosystem restoration scenario under conditions of tidal influence. However, considering the BAU scenario, differences in perceptions of CES supply were significant between farmers/landowners and NGOs/researchers (H(2) = 6.94; p = 0.03) and between farmers/landowners and planners (H(2) = 6.94; p = 0.02). Such differences relate to shrubland conversions to artificial/bare areas at low elevation. Similarly, for scenarios that were market-driven (road and coastal tourism infrastructure expansion; mangrove ecosystem restoration and rubber plantation expansion), significant differences in perceptions of CES supply were evident between farmers and planners relative to rainfed cropland conversions to artificial/bare areas under poorly drained soil conditions (H(2) = 6.42; p = 0.02) and to rubber plantation given well-drained soil conditions (H(2) = 6.61; p = 0.01). Finally, considering a green network scenario, significant differences in preferences for CES supplies were evident between farmers/landowners and planners and this pertains to 10% afforestation and conversion from rainfed cropland to forests (H(2) = 9.44; p = 0.005).

4 Discussions

4.1 Perceptions and preferences of land-use planning actors for cultural ecosystem services supply

CES are supplied through human perceptions of ecosystem benefits. And often, such benefits are shaped by individual and societal value systems (Jones et al. 2020, pp 123–137). Thus, quantification of CES requires citizen participation in order to provide a basis for their uptake in land-use policy (García-Díez et al. 2020, p 2). Our findings show that LUPAs in the coastal region envision a mix of future land-use configurations as plausible pathways towards deriving non-material benefits from coastal landscapes. From the set of future land-use scenarios, mangrove ecosystem restoration and green network scenarios directly support implementation of regional spatial policies on environmental protection as articulated in the Western Regional Spatial Development Framework (WRSDF). The WRSDF puts forward policies for protection of mangroves, forests and wetlands and proposes the creation of wildlife corridors on the landscape. Ironically, the study landscape is simultaneously designated as the area where heavy industrial activities of the oil and gas industry will be confined. This will potentially create tensions between on the one hand, national and regional economic development aspirations, and on the other, local scale desires for CES supply.

In this context, scenarios for CES supply provide useful entry points for improving socio-ecological practice by government planning officials, farmers, landowners, NGOs and researchers through harmonizing development aspirations and natural resources management in the planning, restoration, conservation and management of landscapes. Through the planning process, government planning officials define and direct the allocation of space for land uses. This provides the basis for landowners to decide which land areas to set aside for preserving and protecting landscape CES. Similarly, with the desired planning framework established, landowners are better able to decide where lucrative economic uses of land will be confined while farmers can identify areas to integrate landscape conservation practices into arable farming. Trends and changes in CES supply thresholds will have to be monitored by researchers and practitioners in environmental NGOs and feedback provided to harmonize economic development and landscape conservation.

Besides, land-use scenarios were linked by LUPAs to drivers of LULC changes (e.g., harvesting pressures on mangrove forests, expansion of plantation agriculture, coastal infrastructure development) and environmental conditions that inhibit the potential of the coastal landscape to supply CES. Previous research on land-use scenarios for ecosystem services provisioning in Northern Ghana incorporated local knowledge of threats to ecosystem functions as well as environmental influences on the regional performance to supply ecosystem services (see Inkoom et al. 2018, pp 393–408; Koo et al. 2018, pp 1–21). Similarly, in the reference landscape, elevation, soil conditions, tidal influence and extent of afforestation were addressed as important environmental variables that limit the freedom of LULC changes and related supply of CES. For instance, in the road and coastal tourism infrastructure expansion scenario, land-use changes from cropland to artificial/bare areas were highly perceived for their supply of tourism benefits. In the context of this scenario, conversions to artificial/bare areas signifies development of coastal tourism facilities and related infrastructure which has a positive effect on supply of tourism benefits.

This finding contrasts other studies which found coastal development to have a negative effect on the provision of CES by coastal and marine areas (Fletcher et al. 2014, p 159). Nonetheless, by emphasizing prevailing soil conditions which influence land-use conversion decisions in the road and coastal tourism infrastructure expansion scenario, this study highlights the importance of environmental variables in site-based assessments of CES provisioning. This is also consistent with the results of previous CES research which found that environmental factors have a strong effect on the generation of cultural benefits such as outdoor recreation, aesthetic enjoyment and sense of place (García-Díez et al 2020, pp 6–7). On the contrary, participatory scenario-based studies that overlooked the effect of environmental conditions in the development of plausible land-use futures for CES supply, missed the opportunity to incorporate the dynamics of environmental influences in scenario outcomes (see Plieninger et al. 2013, pp 1–16).

Green spaces have been highly valued for their multiple ES provisioning (Dickinson and Hobbs 2017, 186). However, findings of this study present that an increase in the extent of green spaces by afforestation does not necessarily lead to higher preference values for supply of benefits related to science/education and nature-based spiritual experiences (see sub-Sect. 3.3.4). This is particularly noteworthy as science/education and nature-based spiritual experiences recorded lower preference values at 10% and 30% afforestation (green network scenarios) compared to the BAU land-use scenario. Located within Ghana’s forest zone, the landscapes in the study region possess relatively high degree of naturalness associated with the BAU scenario. This, perhaps, contributed to undervaluation by LUPAs of the potential of green network by afforestation to supply CES in the region; implying that creation of additional green spaces will unlikely result in significant improvements in the supply of relevant CES by the regional landscape (see Figs. 7, 8 and 9).

In line with global landscape restoration targets, the government of Ghana has pledged to restore two million hectares of its lost and degraded forest landscapes by 2030 (Foli 2018, pp 1–4). Among other landscapes, southwestern Ghana is targeted for such restoration efforts. This finding is instructive for the national quest for bringing deforested and degraded landscapes into restoration. This is because outcomes of the green network scenario point to pragmatic challenges in achieving restoration success considering this landscape. Besides, the goal of government’s landscape restoration policy initiative is at variance with LUPAs preferences for green network by afforestation. Consequently, local actors’ acceptance of government’s overarching landscape restoration policy remains a work in progress and thus, calls for extensive participation of LUPAs and more transparency in landscape restoration decision- making processes in the region.

4.2 Synergies and trade-offs in the supply of cultural ecosystem services

According to the assessment and validation results, potential synergies between CES explored in the present study (science/education, tourism, spiritual, health and recreation) are anticipated by all land-use scenarios, except the green network scenario. Thus, the implementation of these land-use scenarios can be considered to enhance the supply of the referenced CES in this coastal landscape. This finding is in agreement with evidence pointing to synergistic relations between CES in coastal areas (Rodrigues et al. 2017, pp 18–19).

Nonetheless, striking intra-scenario tradeoffs were revealed regarding the supply of tourism benefits by the road and coastal tourism infrastructure expansion scenario (see sub-Sect. 3.3.3). This provokes perceptual conflicts in the potential supply of tourism benefits between farmers/landowners and planners on the one hand, and between farmers/land owners and NGOs/researchers on the other. Similar tendencies towards perceptual conflicts between farmers/landowners and planners and between farmers/land owners and NGOs/researchers also arise from the observed trade-offs in the supply of health benefits in the mangrove ecosystem restoration and rubber plantation expansion scenario. The apparent conflicting viewpoints reflect inherent divergence in stakeholder interests in land use planning, including divergent stakeholder priorities for landscapes CES supply. This finding parallels with previous research that found mismatches in the perceptions of CES supply between land-use decision makers and land users (Canedoli et al. 2017, p 13).

In the study region, regional and municipal land-use planners are more likely to decide in favor of market-oriented LUP scenarios (road and coastal tourism infrastructure expansion; mangrove ecosystem restoration and rubber plantation expansion) and of the supply of tourism benefits from such scenarios. Such decision-making orientation becomes even more pronounced, considering areas of the landscape where soil conditions are poor and therefore present limited opportunities for arable farming. Importantly, tourism benefits derived from coastal landscapes constitutes an important source of revenue for coastal municipalities and also create opportunities for economic development in coastal communities. On the other hand, farmers and land owners in the study region are more likely to disfavor tourism benefits but rather support decisions that supply more health benefits from market-oriented LUP scenarios. Perhaps, the long-standing land stewardship ethic of farmers and landowners in the study region underlies such decision-making orientation. Generally, all categories of LUPAs (farmers, landowners, researchers, NGO professionals and land-use planners) in the study region will unlikely support decisions that favor establishing green networks for supplying nature-based spiritual experiences and science/education benefits. However, NGOs/researchers and planners are likely to decide in favor of establishing green networks for the supply of tourism and recreational benefits.

4.3 Limitations of the applied approaches

To be useful for land-use decision-making, valuation of CES should occur at a fine enough spatial scale to facilitate identification and designation of specific zones of CES supply (Canedoli et al. 2017, pp 11–13). In this light, our study suffers from some limitations. The first limitation relates to the difficulty to address the nuances of spatial differences in CES provision at local scale due to the use of coarse LULC data. For instance, the broad LULC categories used for the study concealed other LULC sub-classes that are valued by society for their non-material benefits. The second limitation is presented by the fact that artificial/bare areas encompass non-natural built-up infrastructures that do not necessarily offer nature-based contributions to society and thus careful interpretation on the perceptions of, and preferences for, such areas as sources of CES supply is required. Third, while land-use planning regulations influence the CES supply potential of the landscape, the study overlooked this dimension in the impact assessment of land use scenarios. Fourth, while grouping of LUPAs was convenient for the study design, this might have introduced bias, particularly, in the development and visualization of the green network scenarios. Furthermore, oil and gas private sector actors were overlooked in conducting the workshops, despite their positions as key land users with vested economic interests on matters related to land-use and land management. However, there were concerns that power asymmetries between them and farmers could have jeopardized the transparency and openness that characterized the workshops. The foregoing limitations of the study were, however, partly addressed by providing pictures to illustrate examples of peculiar landscape features occurring in the broad LULC classes during the workshops and surveys. Detailed local knowledge of LUPAs on the study landscape also contributed to mitigating the effect of coarse LULC data on the study outcomes. Besides, this approach enhanced bottom-up planning processes by bridging communication gaps and improving knowledge exchange among different LUPAs at the regional, district and local levels. Involving a diverse group of LUPAs generated rich discussions that informed scenario development, thus increasing the validity, reliability and applicability of the designed scenarios (Plieninger et al. 2013, pp 12–13). Finally, the approach to scenario development enabled examination of coherence of the scenarios from different LUPAs perspectives (Keeler 2014, pp 20–53).

5 Conclusions and outlook

The assessment and integration of CES in landscape planning and management still remain elusive mainly because this direction of research lacks a common methodological framework for CES assessments. This study demonstrated that spatially explicit land use scenarios that incorporate place-based values, perceptions and preferences for CES, provide a useful basis for integrating CES considerations in LUP and decision-making. This study aimed at participatory development and validation of alternative land-use scenarios and examination of the resulting scenario impacts on CES supply. Utilization of biophysical data coupled with pictures and visualization tools in GISCAME during the actor workshops fostered communication and actor awareness of otherwise difficult ES concepts.

The results of the study indicate that in the coastal landscape of Southwestern Ghana, values, perceptions and preferences of LUPAs underpin socio-ecological interactions aimed at maintaining and enhancing CES supply. In addition, it revealed that future supply of CES is characterized by an interplay between multiple and diverse perspectives about plausible land-use futures. Perceptions of and preferences for CES align with land-use visions related to afforestation, tourism, infrastructure development and agriculture expansion. In such a context where an array and diversity of individual and societal values exist, effective negotiation and facilitation are essential for harnessing and optimizing land-use planning for CES supply.

The process for integrating ES into land use and spatial planning processes in Ghana has been proposed by Inkoom et al. (2017, p 77). This study provides a practical entry point to realize and implement such integration at the landscape scale. A hierarchical spatial planning approach of Ghana mandates the preparation of structure and local plans at the lower tiers. Existence of the Western Region Spatial Development Framework (WRSDF) which covers the study region can serve as an anchor for landscape scale integration of CES considerations as part of structure and local plan preparation. The visions of LUPAs presented in this study could be the starting points for consensus building and validation of perceptions and preferences for CES supply among different actor groups such as public officials, civil society representatives, traditional authorities, academics and private sector entities. The study demonstrates that extensive dialogue with actors, notably landowners and farmers, to better understand motivations and preferences for landscape restoration as well as to develop the right incentives to enable landscape restoration success will be required. Finally, the study provides the basis for re-thinking landscape restoration approaches, as this will influence achievement or otherwise, of landscape restoration targets at both the national and global levels.