Geology topics

Rachelle K. Gould

Publications and source records attributed to Rachelle K. Gould.

3 recordsLinked to original sources

USGS2025

Constraints and enablers for meaningful consideration of plural values through integration of cultural ecosystem services (CES) in decision-making

This chapter presents and applies five constraint/enabler categories that influence integration of the plural values of cultural ecosystem services (CES) in decision-making, highlighting how diverse forms of CES knowledge can intersect with decision making contexts. CES make foundational contributions to human well-being, and yet they are consistently underrepresented in research products intended to inform decision-making. In particular, the relational and holistic values associated with CES categories such as cultural identity and maintenance of knowledge systems have been inadequately conveyed through existing instrumental approaches to ecosystem service assessment and ecosystem valuation. In this chapter we detail (1) a spectrum of forms in which CES knowledge may be conveyed to inform decision-making and (2) constraints and enabling factors that influence whether plural CES values are meaningfully considered in decision-making. This chapter considers how these constraints/enablers commonly influence integration of distinct CES knowledge forms in natural resource management decision contexts. Examples are then offered from case study research on Elwha River dam removal decision-making (Washington state, USA). These examples illustrate that factors commonly constraining integration of diverse CES knowledge forms can transform into enablers for meaningful consideration of relational values and holistic value perspectives, alongside instrumental values. The chapter concludes with takeaways for decision-makers, managers, and those who hold CES knowledge and seek to convey plural CES values to inform decision-making.

Book chapter↗

USGS2024

Opportunities for improved consideration of cultural benefits in environmental decision-making

Many cultural benefits of ecosystem services (ES) are difficult to capture in standard ES assessments. Scholars and practitioners often respond to this gap by seeking to develop new scientific methods to capture and integrate the plural values associated with diverse cultural benefits categories. This increasing emphasis on value pluralism represents an essential step toward recognitional justice within ES theory and practice. However, current approaches continue to rest on the assumption that ES-knowledge is only made available to decision-makers through scientific documentation. As a result, scholars and decision-makers fail to account for the role of knowledge pluralism as a core element of recognitional justice, and a key enabling factor for meaningful consideration of the plural values linked to cultural benefits of ES. In this paper, we contribute to a pluralist theory of cultural-benefits-knowledge, and ES-knowledge more broadly. Using a critical interpretive synthesis of environmental management literature, we conceptualize a wider range of knowledge forms that convey cultural benefits, based on the knowledge-as-practice concept in addition to the knowledge-as-product concept more familiar to Western actors. As part of the synthesis, we explore when and how diverse forms of cultural-benefits-knowledge intersect with decision-making processes, and the value aspects and categories of cultural benefits most frequently conveyed by each form of knowledge. Our synthesizing argument offers a critique of the concept of “ES-knowledge-use,” proposing a shift in focus toward “learning opportunities” that exist across phases of decision-making. We demonstrate that attention to a greater diversity of knowledge forms (knowledge pluralism), and a fuller spectrum of opportunities to integrate them (learning opportunities) can support more meaningful consideration of the plural values associated with cultural benefits of ES (value pluralism). In combination, attention to knowledge pluralism and value pluralism can help bring the ES approach into alignment with environmental justice through the recognition and legitimization of multiple identities, well-beings, and human-nature relationships, as reflected in meaningful consideration of the diverse cultural benefits of ES.

Ecosystem Services↗

USGS2019

Reimagining the potential of Earth observations for ecosystem service assessments

The benefits nature provides to people, called ecosystem services, are increasingly recognized and accounted for in assessments of infrastructure development, agricultural management , conservation prioritization, and sustainable sourcing. These assessments are often limited by data, however, a gap with tremendous potential to be filled through Earth observations (EO), which produce a variety of data across spatial and temporal extents and resolutions. Despite widespread recognition of this potential, in practice few ecosystem service studies use EO. Here, we identify challenges and opportunities to using EO in ecosystem service modeling and assessment. Some challenges are technical, related to data awareness, processing, and access. These challenges require systematic investment in model platforms and data management. Other challenges are more conceptual but still systemic; they are byproducts of the structure of existing ecosystem service models and addressing them requires scientific investment in solutions and tools applicable to a wide range of models and approaches. We also highlight new ways in which EO can be leveraged for ecosystem service assessments, identifying promising new areas of research. More widespread use of EO for ecosystem service assessment will only be achieved if all of these types of challenges are addressed. This will require non-traditional funding and partnering opportunities from private and public agencies to promote data exploration, sharing, and archiving. Investing in this integration will be reflected in better and more accurate ecosystem service assessments worldwide.

Science of the Total Environment↗