ArticleEcosystem services2018
Non-monetary valuation using Multi-Criteria Decision Analysis: Using a strength-of-evidence approach to inform choices among alternatives.
Article in Ecosystem services, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Freshwater systems and ecosystem services: Challenges and chances for cross-fertilization of disciplines.Ambio · 2022Article
- Evaluating the ecosystem services and benefits of wetland restoration by use of the rapid benefit indicators approach.Integrated environmental assessment and management · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This article demonstrates an approach to Multi-Criteria Decision Analysis that compares non-monetary ecosystem service (ES) outcomes for environmental decision making. ES outcomes are often inadequately defined and characterized by imprecision and uncertainty. Outranking methods enrich our understanding of the imperfect knowledge of ES outcomes by allowing decision makers to closely examine and apply preference measures to relationships among the outcomes. We explain the methodological assumptions related to the Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) method, and apply it to a wetland restoration planning study in Rhode Island, USA. In the study, we partnered with a watershed management organization to evaluate four wetland restoration alternatives for their abilities to supply five ES: flood water regulation, scenic landscapes, learning opportunities, recreation, and birds. Twenty-two benefit indicators were identified for the ES as well as one indicator for social equity and one indicator for reliability of ES provision. We developed preference functions to characterize the strength of evidence across estimated indicator values between pairs of alternatives. We ranked the alternatives based on these preferences and weights on ES relevant to different planning contexts. We discuss successes and challenges of implementing PROMETHEE, including feedback from our partners who utilized the methods.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.