Boosting large-scale river connectivity restoration by planning for the presence of unrecorded barriers

© 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.

Bibliographische Detailangaben
Veröffentlicht in:Conservation biology : the journal of the Society for Conservation Biology. - 1999. - 37(2023), 3 vom: 15. Juni, Seite e14093
1. Verfasser: Ioannidou, Christina T (VerfasserIn)
Weitere Verfasser: Neeson, Thomas M, O'Hanley, Jesse R
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Conservation biology : the journal of the Society for Conservation Biology
Schlagworte:Journal Article Research Support, Non-U.S. Gov't barreras ocultas conectividad de ríos datos faltantes habitat restoration hidden barriers missing data optimización optimization mehr... restauración del hábitat river connectivity 优化 栖息地恢复 河流连接度 缺失数据 隐性障碍
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100 1 |a Ioannidou, Christina T  |e verfasserin  |4 aut 
245 1 0 |a Boosting large-scale river connectivity restoration by planning for the presence of unrecorded barriers 
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500 |a Date Completed 31.05.2023 
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520 |a © 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology. 
520 |a Conservation decisions are invariably made with incomplete data on species' distributions, habitats, and threats, but frameworks for allocating conservation investments rarely account for missing data. We examined how explicit consideration of missing data can boost return on investment in ecosystem restoration, focusing on the challenge of restoring aquatic ecosystem connectivity by removing dams and road crossings from rivers. A novel way of integrating the presence of unmapped barriers into a barrier optimization model was developed and applied to the U.S. state of Maine to maximize expected habitat gain for migratory fish. Failing to account for unmapped barriers during prioritization led to nearly 50% lower habitat gain than was anticipated using a conventional barrier optimization approach. Explicitly acknowledging that data are incomplete during project selection, however, boosted expected habitat gains by 20-273% on average, depending on the true number of unmapped barriers. Importantly, these gains occurred without additional data. Simply acknowledging that some barriers were unmapped, regardless of their precise number and location, improved conservation outcomes. Given incomplete data on ecosystems worldwide, our results demonstrate the value of accounting for data shortcomings during project selection 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a barreras ocultas 
650 4 |a conectividad de ríos 
650 4 |a datos faltantes 
650 4 |a habitat restoration 
650 4 |a hidden barriers 
650 4 |a missing data 
650 4 |a optimización 
650 4 |a optimization 
650 4 |a restauración del hábitat 
650 4 |a river connectivity 
650 4 |a 优化 
650 4 |a 栖息地恢复 
650 4 |a 河流连接度 
650 4 |a 缺失数据 
650 4 |a 隐性障碍 
700 1 |a Neeson, Thomas M  |e verfasserin  |4 aut 
700 1 |a O'Hanley, Jesse R  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Conservation biology : the journal of the Society for Conservation Biology  |d 1999  |g 37(2023), 3 vom: 15. Juni, Seite e14093  |w (DE-627)NLM098176803  |x 1523-1739  |7 nnns 
773 1 8 |g volume:37  |g year:2023  |g number:3  |g day:15  |g month:06  |g pages:e14093 
856 4 0 |u http://dx.doi.org/10.1111/cobi.14093  |3 Volltext 
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