A probabilistic sampling strategy for estimating plant density in Posidonia oceanica meadows DOI Creative Commons
Alice Bartolini, Agnese Marcelli, Rosa Maria Di Biase

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(5)

Published: April 11, 2025

Abstract Marine and coastal ecosystems, such as seagrasses, mangroves, coral reefs, provide a range of essential provisioning, regulating cultural ecosystem services. Recent United Nations guidelines on accounting (SEEA EA) emphasise the need for biophysical data foundation compiling accounts conducting economic evaluations developing indicators informing policies interventions. However, availability marine ecosystems is limited with respect to terrestrial ones. Moreover, collection extent condition required (EA) often not aligned existing habitat monitoring strategies. This study aims address scarcity spatial facilitate integration current strategies scope EA. We propose application design-based inference estimation, mapping, key ecological attributes ecosystems. focus Posidonia oceanica , an endemic seagrass Mediterranean Sea, but proposed strategy adaptable other The benefits appropriate probabilistic sampling schemes assessing P. are explored via simulation testing. performance different sample in artificial populations reveals that reliable estimates density (as well their precision) can be obtained even low sizes. empirical viability our methodology exemplified using collected meadow located Italian Protected Area (Puglia region, Southern Italy).

Language: Английский

Differences in habitat complexity between restored and natural seagrass meadows shape fish communities' features DOI Creative Commons
Julia Castro‐Fernández, Inés Castejón‐Silvo, Hilmar Hinz

et al.

Nature-Based Solutions, Journal Year: 2025, Volume and Issue: unknown, P. 100230 - 100230

Published: March 1, 2025

Language: Английский

Citations

0
A probabilistic sampling strategy for estimating plant density in Posidonia oceanica meadows DOI Creative Commons
Alice Bartolini, Agnese Marcelli, Rosa Maria Di Biase

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(5)

Published: April 11, 2025

Abstract Marine and coastal ecosystems, such as seagrasses, mangroves, coral reefs, provide a range of essential provisioning, regulating cultural ecosystem services. Recent United Nations guidelines on accounting (SEEA EA) emphasise the need for biophysical data foundation compiling accounts conducting economic evaluations developing indicators informing policies interventions. However, availability marine ecosystems is limited with respect to terrestrial ones. Moreover, collection extent condition required (EA) often not aligned existing habitat monitoring strategies. This study aims address scarcity spatial facilitate integration current strategies scope EA. We propose application design-based inference estimation, mapping, key ecological attributes ecosystems. focus Posidonia oceanica , an endemic seagrass Mediterranean Sea, but proposed strategy adaptable other The benefits appropriate probabilistic sampling schemes assessing P. are explored via simulation testing. performance different sample in artificial populations reveals that reliable estimates density (as well their precision) can be obtained even low sizes. empirical viability our methodology exemplified using collected meadow located Italian Protected Area (Puglia region, Southern Italy).

Language: Английский

Citations

0