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Pajala G, Rudberg D, Gålfalk M, Melack JM, Macintyre S, Karlsson J, Sawakuchi HO, Schenk J, Sieczko A, Sundgren I, Duc NT, Bastviken D. Higher Apparent Gas Transfer Velocities for CO 2 Compared to CH 4 in Small Lakes. Environ Sci Technol 2023. [PMID: 37253265 DOI: 10.1021/acs.est.2c09230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Large greenhouse gas emissions occur via the release of carbon dioxide (CO2) and methane (CH4) from the surface layer of lakes. Such emissions are modeled from the air-water gas concentration gradient and the gas transfer velocity (k). The links between k and the physical properties of the gas and water have led to the development of methods to convert k between gases through Schmidt number normalization. However, recent observations have found that such normalization of apparent k estimates from field measurements can yield different results for CH4 and CO2. We estimated k for CO2 and CH4 from measurements of concentration gradients and fluxes in four contrasting lakes and found consistently higher (on an average 1.7 times) normalized apparent k values for CO2 than CH4. From these results, we infer that several gas-specific factors, including chemical and biological processes within the water surface microlayer, can influence apparent k estimates. We highlight the importance of accurately measuring relevant air-water gas concentration gradients and considering gas-specific processes when estimating k.
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Affiliation(s)
- Gustav Pajala
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - David Rudberg
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - Magnus Gålfalk
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - John Michael Melack
- Department of Ecology, Evolution and Marine Biology, University of California, UCEN Rd, Santa Barbara, California 93117, United States
- Earth Research Institute, University of California, Lagoon Rd, Santa Barbara, California 93106, United States
| | - Sally Macintyre
- Department of Ecology, Evolution and Marine Biology, University of California, UCEN Rd, Santa Barbara, California 93117, United States
- Earth Research Institute, University of California, Lagoon Rd, Santa Barbara, California 93106, United States
- Marine Science Institute, University of California, Isla Vista, Santa Barbara, California 93117, United States
| | - Jan Karlsson
- Climate Impacts Research Centre, Department of Ecology and Environmental Sciences, Umeå University, Linnaeus väg 6, Umeå 90736, Sweden
| | - Henrique Oliveira Sawakuchi
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - Jonathan Schenk
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - Anna Sieczko
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - Ingrid Sundgren
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - Nguyen Thanh Duc
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
| | - David Bastviken
- Department of Thematic Studies - Environmental Change, Linköping University, Mäster Mattias väg, Linköping 58183, Sweden
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Bertoluci J, Sawakuchi HO, Ortiz C, Brassaloti RA, Wagner Ribeiro-Júnior J, Famelli S. Anuran fauna of the Parque Estadual Carlos Botelho - Núcleo Sete Barras, southeastern Brazil: species composition, use of breeding sites, and seasonal patterns of breeding activity. Biota Neotrop 2021. [DOI: 10.1590/1676-0611-bn-2020-1082] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Abstract: The goal of this work was to study the species composition, the use of breeding sites, and the seasonal patterns of breeding activity of the anuran fauna from Parque Estadual Carlos Botelho - Núcleo Sete Barras, state of São Paulo, southeastern Brazil. Fieldwork was carried out from September 2005 to October 2007 through two main methods: active visual search inside a 10 ha- permanent plot and aural and visual search in seven previously selected aquatic breeding habitats. Species richness was related to the sampling effort by means of species accumulation curve and through non-parametric estimators. Thirty-three species distributed in 12 families were recorded, from which 69% are endemic to the Atlantic Forest. Trachycephalus mesophaeus represents a new record for the park. Cycloramphus lutzorum is included as Data Deficient in the IUCN list. The species accumulation curve did not stabilize, showing some tendency to rise. The use of breeding sites by 20 species was compared using cluster analysis, which revealed two major groups: the first with five species (two habitat generalists and three stream specialists) and the second composed by the other species (with different reproductive modes associated with flooded environments). The breeding period of most species was associated to the rainy season (October to February), and only Scinax hayii showed continuous breeding activity during the entire period of study.
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Valerio ADM, Kampel M, Vantrepotte V, Ward ND, Sawakuchi HO, Less DFDS, Neu V, Cunha A, Richey J. Using CDOM optical properties for estimating DOC concentrations and pCO 2 in the Lower Amazon River. Opt Express 2018; 26:A657-A677. [PMID: 30114008 DOI: 10.1364/oe.26.00a657] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 02/27/2018] [Indexed: 06/08/2023]
Abstract
Coloured dissolved organic matter (CDOM) is one of the major contributors to the absorption budget of most freshwaters and can be used as a proxy to assess non-optical carbon fractions such as dissolved organic carbon (DOC) and the partial pressure of carbon dioxide (pCO2). Nevertheless, riverine studies that explore the former relationships are still relatively scarce, especially within tropical regions. Here we document the spatial-seasonal variability of CDOM, DOC and pCO2, and assess the potential of CDOM absorption coefficient (aCDOM(412)) for estimating DOC concentration and pCO2 along the Lower Amazon River. Our results revealed differences in the dissolved organic matter (DOM) quality between clearwater (CW) tributaries and the Amazon River mainstream. A linear relationship between DOC and CDOM was observed when tributaries and mainstream are evaluated separately (Amazon River: N = 42, R2 = 0.74, p<0.05; CW: N = 13, R2 = 0.57, p<0.05). However, this linear relationship was not observed during periods of higher rainfall and river discharge, requiring a specific model for these time periods to be developed (N = 25, R2 = 0.58, p<0.05). A strong linear positive relation was found between aCDOM(412) and pCO2(N = 69, R2 = 0.65, p<0.05) along the lower river. pCO2 was less affected by the optical difference between tributaries and mainstream waters or by the discharge conditions when compared to CDOM to DOC relationships. Including the river water temperature in the model improves our ability to estimate pCO2 (N = 69; R2 = 0.80, p<0.05). The ability to assess both DOC and pCO2 from CDOM optical properties opens further perspectives on the use of ocean colour remote sensing data for monitoring carbon dynamics in large running water systems worldwide.
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Vancine MH, Duarte KDS, de Souza YS, Giovanelli JGR, Martins-Sobrinho PM, López A, Bovo RP, Maffei F, Lion MB, Ribeiro Júnior JW, Brassaloti R, da Costa COR, Sawakuchi HO, Forti LR, Cacciali P, Bertoluci J, Haddad CFB, Ribeiro MC. ATLANTIC AMPHIBIANS: a data set of amphibian communities from the Atlantic Forests of South America. Ecology 2018; 99:1692. [PMID: 29953585 DOI: 10.1002/ecy.2392] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 04/13/2018] [Accepted: 04/18/2018] [Indexed: 11/07/2022]
Abstract
Amphibians are among the most threatened vertebrates in the world and this is also true for those inhabiting the Atlantic Forest hotspot, living in ecosystems that are highly degraded and threatened by anthropogenic activities. We present a data set containing information about amphibian communities sampled throughout the Atlantic Forest Biome in South America. The data were extracted from 389 bibliographic references (articles, books, theses, and dissertations) representing inventories of amphibian communities from 1940 to 2017. The data set includes 17,619 records of 528 species with taxonomic certainty, from 1,163 study sites. Of all the records, 14,450 (82%) were classified using the criterion of endemism; of those, 7,787 (44%) were considered endemic and 6,663 (38%) were not. Historically, multiple sampling methods were used to survey amphibians, the most representative methods being active surveys (82.1%), surveys at breeding sites (20%), pitfall traps (15.3%), and occasional encounters (14.5%). Species richness averaged 15.2 ± 11.3 (mean ± SD), ranging from 1 to 80 species per site. We found a low dominance in the communities, with 10 species occurring in about 26% of communities: Physalaemus cuvieri (4.1%), Dendropsophus minutus (3.8%), Boana faber (3.1%), Scinax fuscovarius (2.8%), Leptodactylus latrans (2.7%), Leptodactylus fuscus (2.6%), Boana albopunctata (2.3%), Dendropsophus nanus (1.6%), Rhinella ornata (1.6%), and Leptodactylus mystacinus (1.6%). This data set represents a major effort to compile inventories of amphibian communities for the Neotropical region, filling a large gap in the data on the Atlantic Forest hotspot. We hope this data set can be used as a credible tool in the proposal of new studies on amphibian sampling and even in the development of conservation planning for these taxa. This information also has great relevance for macroecological studies, being foundational for both conservation and restoration strategies in this biodiversity hotspot. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching events.
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Affiliation(s)
- Maurício Humberto Vancine
- Departamento de Ecologia, Laboratório de Ecologia Espacial e Conservação, Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil.,Departamento de Zoologia e Centro de Aquicultura (CAUNESP), Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil
| | - Kauã da Silva Duarte
- Departamento de Ecologia, Laboratório de Ecologia Espacial e Conservação, Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil
| | - Yuri Silva de Souza
- Departamento de Ecologia, Laboratório de Ciência do Sistema Terrestre, Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil
| | - João Gabriel Ribeiro Giovanelli
- Departamento de Zoologia e Centro de Aquicultura (CAUNESP), Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil
| | - Paulo Mateus Martins-Sobrinho
- Departamento de Biologia, Laboratório de Ecologia Filogenética e Funcional, Universidade Federal Rural de Pernambuco (UFRPE), Recife, PE, Brasil
| | - Ariel López
- INMeT-Instituto Nacional de Medicina Tropical Puerto Iguazú, Misiones, Argentina
| | - Rafael Parelli Bovo
- Departamento de Fisiologia, Instituto de Biociências, Laboratório de Ecofisiologia e Fisiologia Evolutiva (LEFE), Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Fábio Maffei
- Departamento de Ciências Biológicas, Faculdade de Ciências, Universidade Estadual Paulista (UNESP), Bauru, SP, Brazil
| | - Marília Bruzzi Lion
- Departamento de Ecologia, Centro de Biociências, Universidade Federal do Rio Grande do Norte (UFRN), Natal, RN, 59072-970, Brazil
| | - José Wagner Ribeiro Júnior
- Departamento de Ecologia, Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil
| | - Ricardo Brassaloti
- Departmento de Zootecnia, Laboratório de Biotecnologia Animal, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo (USP), Piracicaba, SP, Brazil
| | - Carolina Ortiz Rocha da Costa
- Departamento de Ecologia, Laboratório de Ecologia, Instituto de Biociências Evolução e Conservação de Anfíbios e Répteis (LabVert), Universidade de São Paulo (USP), São Paulo, SP, Brasil
| | | | - Lucas Rodriguez Forti
- Departamento de Biologia Animal, Laboratório de História Natural de Anfíbios Brasileiros (LaHNAB) e Laboratório Multiusuário de Bioacústica (LMBio), Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
| | - Pier Cacciali
- Instituto de Investigación Biológica del Paraguay, Del Escudo 1607, Asunción, 1425, Paraguay.,Pesquisador associado, Guyra Paraguay Association, Avenida Coronel Carlos Dome, Capital Verde Parque Ecológico - Viñas Cué, Assunção, Paraguai
| | - Jaime Bertoluci
- Departmento de Ciências Biológicas, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo (USP), Piracicaba, SP, Brazil
| | - Célio Fernando Baptista Haddad
- Departamento de Zoologia e Centro de Aquicultura (CAUNESP), Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil
| | - Milton Cezar Ribeiro
- Departamento de Ecologia, Laboratório de Ecologia Espacial e Conservação, Instituto de Biociências, Universidade Estadual Paulista (UNESP), Rio Claro, SP, Brazil
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