Graphical display of land uses and ecosystem service scores displayed in PEWI, with all yield values combined into a single score. Available from the Results tab on user interface.

Graphical display of land uses and ecosystem service scores displayed in PEWI, with all yield values combined into a single score. Available from the Results tab on user interface.

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We present an open source web application and ecosystem services model, People in Ecosystems/Watershed Integration (PEWI). PEWI integrates ecological models within an intuitive interface, allowing users to rapidly and dynamically evaluate how changes to agricultural land cover, use, and management affect ecosystem service outcomes. Users create and...

Contexts in source publication

Context 1
... output of nine crop and livestock production, three water quality, two soil quality, and two habitat indicators, presented in units appropriate to the factor of each ecosystem service indicator; 2) indexed scores for the same 16 ecosystem service indicators, on a scale of from 0 (the lowest possible value for each indicator) to 100 (the highest) (Fig. 3); and 3) watershed maps for two measures of water quality and one measure of soil ...
Context 2
... PEWI. A higher index score corresponds to enhanced functionality in the watershed thus serving as a relative way to compare and evaluate various user determined land use patterns. PEWI presents its scores in tabular form and in an interactive graphic plot that allows users to compare scores for all ecosystem service indicators across three years (Fig. 3). The interactive watershed maps for ecosystem service indicators enable users to spatially target yield, water, and soil quality ...

Citations

... Web-based platforms and interactive tools can provide direct access to information about ES maps, thus supporting informed decision-making, communication, and awareness raising (Grêt-Regamey et al., 2017;Linney et al., 2020). Such platforms are, however, often still in the test phase (Chennault et al., 2020;Holmberg et al., 2015). ...
... To analyze causal relationships, studies usually used modelling/simulation approaches (Scolozzi et al., 2019;. Publications across all technologies indicated the potential support for decision-making by providing information on ES, but only technologies related to data visualization were used for communication and learning during the decision-making process (Chennault et al., 2020;Gissi and Garramone, 2018). ...
... Several web-based platforms (e.g., EnviroAtlas, nature value explorer, PEWI) have been developed to access, visualize, and analyze ES in relation to land-use decisions Chennault et al., 2020;Cochran et al., 2019;Pickard et al., 2015), offering interactive functionality aid in exploring and communicating the impacts of environmental decisions on ES (Grêt-Regamey et al., 2017;Linney et al., 2020). The technical development of such platforms requires expertise in programming, GIS, environmental modeling, landscape planning and graphic or web design (Lacayo et al., 2021;Wissen Hayek et al., 2016), while their application requires experience in participatory methods and stakeholder engagement Venter et al., 2021). ...
Article
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Rapid technological development opens up new opportunities for assessing ecosystem services (ES), which may help to overcome current knowledge gaps and limitations in data availability. At the same time, emerging technologies, such as mobile devices, social media platforms, and artificial intelligence, give rise to a series of challenges and limitations. This study provides a comprehensive overview of the broad range of technologies that are increasingly used for collecting, analyzing, and visualizing data on ES, including Earth observation, mobile technologies, data science, modeling/simulation, immersive technologies, visualization, and web-based tools. To identify current opportunities and challenges, we systematically reviewed the literature on ES of the last 10 years (2012-2022). We first describe the state-of-the-art of emerging technologies, synthesizing their applicability, opportunities, and limitations. Then, we discuss open issues, future research needs, and potential for further applications in ES research. Our findings indicate great opportunities to increase knowledge on ES thanks to low costs, high data availability, and high flexibility of the technologies. We also find a strong potential to support decision-making, learning and communication. However, limitations and challenges related to the accuracy of the variables and models, accessibility to data, technologies, and information as well as ethical concerns need to be addressed by the research community to assure an inclusive and meaningful use of the technologies. Our findings also suggest that further insights into ES may be achieved through a better integration of different technologies in the future, e.g., Earth observation, data science, and web-based platforms, a stronger trans-disciplinary collaboration to advance knowledge on ES, and by broadening the perspective to technological developments in other related fields of research.
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Rembangan is an agrotourism location that is visited by many tourists. Rembangan is part of Kemuning Lor Village, Arjasa Subdistrict managed by the Jember regional government. Rembangan agrotourism focuses on people's farming in low-temperature areas, livestock and cow's milk producers. The increasing exploration of agriculture and other people's businesses, will have an impact on the sustainability of Rembangan as agrotourism. Agrotourism sourced from the exploration and empowerment of resources and local communities will tend to exist and be sustainable to make agrotourism in Kemuning Village as a tourist icon needs to be done agrotourism development there. Therefore, it is necessary to do devotion to find out how the perception of farmers and the level of participation of farmers if agrotourism development is carried out there. The Population is all farmers in Kemuning Lor Village. The determination of the sample was done using a sampling cluster of 50 farmers of Kemuning Lor village. The methods of activities are literature studies, location observation, unstructured interviews, training, and the creation of learning and socialization instruments. The results of the civil services activities show that the perception of farmers is positive in the development of agrotourism. Has a positive influence on the level of participation of farmers in the development of agrotourism in Kemuning Lor Village. The community is willing and committed to assistance and monitoring and evaluation in the development of agrotourism together with the entire agrotourism circle community. The development of agrotourism must be in collaborated among stakeholders as one of the sources of income.