Biodiversity offsets (BO) are increasingly promoted and adopted by governments and companies worldwide as a policy instrument to compensate for biodiversity losses from infrastructure development projects. BO are often classified as 'market-based instruments' both by proponents and critics, but this representation fails to capture the varieties of how BO policies actually operate. To provide a framing for understanding the empirical diversity of BO policy designs, we present an ideal-typical typology based on the institutions from which BO is organised: Public Agency, Mandatory Market and Voluntary Offset. With cross-case comparison and stakeholder mapping, we identified the institutional arrangements of six BO policies to analyse how the biodiversity losses and gains are decided. Based on these results, we examined how these six policies relate to the BO ideal types. Our results suggested that the government, contrary to received wisdom, plays a key role not just in enforcing mandatory policies but also in determining the supply and demand of biodiversity units, supervising the transaction or granting legitimacy to the compensation site. Mandatory BO policies can be anything from pure government regulations defining industry liabilities to liability-driven markets where choice sets for trading credits are constrained and biodiversity credit prices are negotiated under state supervision. It is important to distinguish between two processes in BO: the matching of biodiversity losses and gains (commensurability) and the trading of biodiversity credits (commodification). We conclude that the commensurability of natural capital is restricted in BO policies; biodiversity is always exchanged with biodiversity. However, different degrees of commodification are possible, depending on the policy design and role of price signals in trading credits. Like payments for ecosystem services, the price of a biodiversity credit is most commonly based on the cost of management measures rather than the 'value' of biodiversity; which corresponds to a low degree of commodification.
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http://dx.doi.org/10.1016/j.jenvman.2018.11.080 | DOI Listing |
Microb Genom
January 2025
GMT Science 75 route de Lyons-La-Foret, Rouen F-76000, France.
Microbiome profiling tools rely on reference catalogues, which significantly affect their performance. Comparing them is, however, challenging, mainly due to differences in their native catalogues. In this study, we present a novel standardized benchmarking framework that makes such comparisons more accurate.
View Article and Find Full Text PDFEcotoxicology
January 2025
Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mazatlán, Sinaloa, México.
Monitoring the dynamics of contaminants in ecosystems helps understand their potential effects. Seabirds have been used as biomonitors of marine ecosystems for this purpose. However, exposure and vulnerability to pollutants are understudied in tropical species, and the relationships between various pollutants and the trophic ecology of seabirds are poorly understood.
View Article and Find Full Text PDFArch Dermatol Res
January 2025
Coloproctology Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Background: Data from observational and clinical studies indicate an association between skin microbiota and hidradenitis suppurativa (HS). However, the causal relationship between skin microbiota and HS remains to be elucidated.
Methods: We obtained data on skin microbiota and HS from summary statistics of genome-wide association studies and applied Mendelian randomization (MR) statistical methods to assess causality.
Appl Microbiol Biotechnol
January 2025
Department of Microbiology and Biotechnology, Institute of Plant Science and Microbiology, University of Hamburg, Ohnhorststr.18, 22609, Hamburg, Germany.
The focus on microalgae for applications in several fields, e.g. resources for biofuel, the food industry, cosmetics, nutraceuticals, biotechnology, and healthcare, has gained increasing attention over the last decades.
View Article and Find Full Text PDFPlant Foods Hum Nutr
January 2025
Centro de Desarrollo de Productos Bióticos, Instituto Politécnico Nacional, Col. San Isidro, Km 8.5 Carr. Yautepec-Jojutla, Yautepec, Morelos, C.P. 62731, México.
The relationship between the gut microbiota (GM) and the health of human beings has been a topic of growing interest in the last few years. Legumes are a rich source of indigestible carbohydrates, including resistant starch (RS), which are substrates of the GM. The aim of this study was to evaluate the effect of the indigestible fraction of legumes on the fecal microbiota of normal-weight (NW) and obese (O) donors.
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