Research articleInvestigating tradeoffs between supply, use and demand of ecosystem services and their effective drivers for sustainable environmental management
Introduction
Natural environments have a huge impact on human well-being by providing diverse services (Wei et al., 2017; Shen et al., 2019). In order to promote the sustainable management of ecosystem services, understanding the potential of different landscapes for multiple services and their matching with people's needs is required to improve on the sustainable use of ecosystems (de Groot et al., 2010).
The potential of the different landscapes for supplying multiple ecosystem services may be the result of biophysical factors or anthropogenic actives (EW Linders et al., 2020), which cause each landscape to need a certain management (conservation or restoration) to meet people’ demands (Chen et al., 2019). Therefore, lands are classified to the three categories including deficit, stable, and surplus areas of ecosystem services (Boithias et al., 2014; Chen et al., 2019). Geographic information systems (GIS) are widely used to assess ecosystem services and their relationships (Castro et al., 2014).
GIS based tradeoff analysis is a good way to uncover the spatial relationships between supply, use and demand of ecosystem services (Kirchner et al., 2015). Wherever there is a tradeoff relationship, the supply of ecosystem services is less than their demand and a distinct form of win-lose situation may occur (Howe et al., 2014). However, lose situations can be avoided through managing ecosystems in a way that move towards a synergy or win-win situation. Supply of ecosystem services depends on the interactions between ecosystems and social systems (Alcamo et al., 2005). Identifying the main biophysical and social drivers of tradeoffs provides good information to mitigate deficit situation between supply and demand of ecosystem services (Howe et al., 2014).
Mapping ecosystem services is an efficient way to link supply of ecosystem services to their use and demand (Crossman et al., 2013). Public participation geographic information systems (PPGIS) is an easy-to-use approach that combines general values in decision-making processes using GIS (Brown and Fagerholm, 2015). PPGIS makes it possible to explore a wider range of services that participants know or consume (García-Nieto et al., 2019). Provisioning and cultural services were mapped more than supporting and regulating services (Brown and Fagerholm, 2015).
Although the supply-demand relationships were spatially studied (e.g. Wang et al., 2019), there is a paucity of information regarding both use and demand of ecosystem services at the same time (EW Linders et al., 2020). Actual use indicates the amount of services consumed and their contribution to social well-being (Rasmussen et al., 2016). Well-being is defined by Diener and Seligman (2004) as “Peoples' positive evaluations of their lives include positive emotion, engagement, satisfaction, and meaning”. Demand reflects people's preferences to benefit from services (Balzan et al., 2018). Supply-demand mismatch indicates areas where degradation may occur in the future.
The loss of ecosystem services has put social-ecological systems under increasing pressure all around the world (Dregne, 2002), but there is little evidence that ecosystem service data has been used for environmental management (Brown and Fagerholm, 2015). It is needed to identify the deficit areas of ecosystem services and manage them towards sustainability. Therefore, this study was done to provide a new integrated measurement framework combining the spatial distribution of ecosystem services and their complex relationships, which can be used to apply the concept of ecosystem services in the sustainable environmental management. The objectives of this study are to (1) assess the spatial distribution of supply, use and potential demand of ecosystem services using PPGIS, (2) investigate the spatial synergies and tradeoffs between supply, demand and use of ecosystem services, (3) investigate the importance of social well-being indices and weights of ecosystem services in social well-being, and (4) investigate the most important drivers of tradeoff between supply and demand of ecosystem services.
Section snippets
Research site
A part of Jiroft district was selected for this study which is located in south east of Iran (57° 01 to 57° 35ˊ E and 28° 40ˊ to 29° 21ˊ N) (Fig. 1). The region covers an area about 13216 km2. The main land uses are rangelands, forest, agricultural lands, barland and urban areas, comprising 62, 28, 7, 2 and 1 percent of the studied region respectively. The southern parts of the region are lowlands with 634 MASL mean elevation, 208 mm mean annual precipitation and 30̊C mean annual temperature.
Participants characteristics
Pastorals were the most frequent respondents (42%), that are low-income (50%) and highly dependent on ecosystems (67%). Farmers were middle-income (50%) with mild dependence on ecosystems (60%). Urban residents were mostly low income with low dependence on ecosystems (53%). Only 20% of experts were female and low-income with low dependence on ecosystems (89%) (Table S2).
The maps of supply, demand and use of ecosystem services
Supply, demand and use of 19 ecosystem services were differently distributed across the study area (Figs S1, S2, and S3). The
Discussion
Service mapping showed that service supply was unevenly distributed throughout the region. However, the highest service supply was in the upstream, the highest demand and use of people was observed in downstream. The greatest shortage of services belonged to the provisioning services, which had the greatest impact on the social welfare of the people in studied region. Provisioning services should be managed with caution because these services had a tradeoff relation with other services such as
Conclusion
This study showed the important of surveying of the spatial tradeoffs between supply, use and demand to determine stable, deficit and surplus areas of ecosystem services for environmental management. Deficit areas can be managed by determining priorities and simplifying the complexity of ecosystem services relationships with social systems. Tradeoffs drivers can help environmental managers to move ecological and social systems toward a win-win situation. The comprehensive framework presented in
Author contributions
Azam Khosravi Mashizi: Conceptualization, Methodology, Software, Writing – original draft, Reviewing and Editing. Mohsen Sharafatmandrad: Conceptualization, Data collection, Formal analysis, Writing – original draft preparation, Reviewing and Editing.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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