| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Site | mtc-m21d.sid.inpe.br (namespace prefix: upn:44QHRCS) | |||
| Identifier | 8JMKD3MGP3W34T/4AC7UTE | |||
| Repository | sid.inpe.br/mtc-m21d/2023/12.11.13.05 | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2023/12.11.13.05.34 | |||
| Metadata Last Update | 2024:01.12.15.12.27 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | PachecoHABBCBDFFGOMRSSUOGF:2023:UnLaCa | |||
| Title | Unaccounted Land and Carbon Footprint of Aquaculture in the Amazon  | |||
| Year | 2023 | |||
| Access Date | 2026, Oct. 19 | |||
| Secondary Type | PRE CI | |||
| 2. Context | ||||
| Author | 1 Pacheco, Felipe 2 Heilpern, Sebastian 3 Almeida, Rafael 4 Barbosa, Icaro 5 Barros, Nathan Oliveira 6 Cavali, Jucilene 7 Barbosa, Ana Paula Dalbem 8 Doria, Carolina Rodrigues da Costa 9 Fan, Joshua 10 Forsberg, Bruce 11 Greenstreet, Laura 12 Oliveira, Ilce 13 Miranda, Marcela 14 Ray, Nicholas 15 Stehi, Suresh 16 Soranço, Laís 17 Ummus, Marta Eichemberger 18 Ometto, Jean Pierre Henry Balbaud 19 Gomes, Carla 20 Flecker, Alexander | |||
| Group | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 DIPE3-COGPI-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Cornell University 2 Cornell University 3 The University of Texas Rio Grande Valley 4 Universidade Federal de Juiz de Fora 5 Universidade Federal de Juiz de Fora 6 Universidade Federal de Rondonia 7 Universidade Federal de Juiz de Fora 8 University of Florida 9 Cornell University 10 Instituto Nacional de Pesquisas da Amazônia (INPA) 11 Cornell University 12 Universidade Federal de Rondonia 13 Cornell University 14 Cornell University 15 Cornell University 16 Universidade Federal de Juiz de Fora 17 Embrapa 18 Instituto Nacional de Pesquisas Espaciais (INPE) 19 Cornell University 20 Cornell University | |||
| Author e-Mail Address | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 jean.ometto@inpe.br | |||
| Conference Name | AGU FAll Meeting | |||
| Conference Location | San Francisco, CA | |||
| Date | 11-15 Dec. 2023 | |||
| Publisher | AGU | |||
| Book Title | Proceedings | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 upn:44QHRCS | |||
| History (UTC) | 2023-12-11 13:05:34 :: simone -> administrator :: 2024-01-12 15:12:27 :: administrator -> simone :: 2023 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Abstract | Although the environmental footprint of cattle and poultry have been well documented in the Amazon, resultant greenhouse gas (GHG) emissions and land use intensities of the expanding aquaculture are poorly understood. Moreover, we know little about whether emissions vary in aquaculture ponds dominated by different fish species, such as Colossoma macropomum (tambaqui), the most common cultured species in the Amazon, and Arapaima gigas (pirarucu). Differences among fish species in feeding modes, morphology, and habitat use could strongly influence GHG emissions. Additionally, land use change may have far-reaching consequences for the net GHG footprint of aquaculture systems. However, land use change emissions have been largely overlooked in aquaculture sustainability assessments. Here we investigate the GHG emissions from fish ponds and GHG emissions associated with land use change due to aquaculture expansion in the Southern Amazon region, where large fish farming operations have been implemented to meet increases in the local and regional demand for fish. In addition, we investigated how GHG emissions of Amazon aquaculture compare to cattle production systems. To estimate the direct GHG emissions from fish ponds, we surveyed 45 fish ponds in Rondônia State, Brazil, and collected diffusive and ebullitive GHG emissions. GHG emissions from land use change were estimated by mapping fish farm locations using deep learning, and evaluating the historical trajectory of the land cover of each mapped pond. After, we used standard techniques proposed by the Brazilian National Inventory to estimate GHG emissions due to land use change. GHG emissions from fish ponds in the Southern Amazon varied from 2.3 to 8.0 gCO2eq m-2 d-1. Total GHG emissions from aquaculture ponds did not significantly differ among fish species, regardless of differences in species traits such as body size and feeding mode. We conclude that management strategies rather than fish species are the primary driver of variation in GHGs emitted from fish ponds in the Southern Amazon. Although we observed substantial carbon loss to the atmosphere, the GHG emissions from aquaculture are 2 to 3-fold lower than that emitted from cattle per unit of live weight produced. | |||
| Area | CST | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Unaccounted Land and... | |||
| doc Directory Content | there are no files | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| User Group | simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/46L2FGP | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||