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| DOI | 10.1016/J.ECSS.2024.108897 | ||||
| Año | 2024 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Colored dissolved organic matter (CDOM) is an indicator and optical proxy of terrestrial processes such as land use with allochthonous material fluxes, biogeochemical cycles, and water quality in coastal zones influenced by rivers. However, the role of land use changes on the spatial and temporal availability of CDOM has been poorly explored in Chile. Here, we studied two watersheds with similar climates and contrasting land use patterns in northern Patagonia considering the sampling of CDOM in their estuarine and adjacent coastal ocean. An empirical algorithm with the coefficients adjusted to our study areas to estimate CDOM was applied to Landsat 7 and 8 images to examine temporal variability of CDOMest from 2001 to 2011 and 2013-2020. Our results showed an increasing trend of CDOMest in both areas. Different trends in land use patterns between the two watersheds showed a significant correlation with CDOMest and contrasting associations with environmental variables. Higher humification was found in Yaldad in comparison with Colu. In both areas, allochthonous materials predominated, especially during austral spring according to the low values of the Fluorescence Index (FI). Our results highlight the potential of CDOMest to parameterize biogeochemical cycling models and to further understand the dynamics of CDOM in coastal ecosystems.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Curra-Sanchez, Elizabeth D. | Mujer |
Univ Las Amer - Chile
Universidad de Concepción - Chile Pontificia Universidad Católica de Chile - Chile Universidad de Las Américas, Chile - Chile |
| 2 | Valerio, Aline de M. | - |
Natl Inst Space Res INPE - Brasil
UNIV SAO PAULO - Brasil Instituto Nacional de Pesquisas Espaciais - Brasil Universidade de São Paulo - Brasil |
| 3 | Lara, Carlos | Hombre |
Universidad Católica de la Santísima Concepción - Chile
Universidad Bernardo O'Higgins - Chile |
| 4 | Garcia-Tunon, Wirmer | - |
Data Observ Fdn - Chile
Universidad Católica de la Santísima Concepción - Chile Data Observatory Foundation - Chile |
| 5 | BROITMAN-ROJAS, BERNARDO OSCAR. | Hombre |
Pontificia Universidad Católica de Chile - Chile
Universidad Adolfo Ibáñez - Chile |
| 6 | SALDIAS-YAU, GONZALO SEBASTIAN | Hombre |
Pontificia Universidad Católica de Chile - Chile
Universidad del Bío Bío - Chile |
| 7 | Nimptsch, Jorge | Hombre |
Universidad Austral de Chile - Chile
|
| 8 | VARGAS-GALVEZ, CRISTIAN ANTONIO | Mujer |
Univ Las Amer - Chile
Universidad de Concepción - Chile Pontificia Universidad Católica de Chile - Chile Universidad de Las Américas, Chile - Chile |
| Fuente |
|---|
| São Paulo Research Foundation (FAPESP) |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| Fundação de Amparo à Pesquisa do Estado de São Paulo |
| COPAS |
| Agencia Nacional de Investigación y Desarrollo |
| ANID - Millennium Science Initiative Program |
| National Agency for Research and Development of Chilean Government |
| Millennium Science Initiative Nucleus UPWELL |
| COPAS COASTAL ANID |
| Millennium Science Initiative Nucleus |
| Fondo de Investigacion Estrategica en Sequia |
| Fundacion Data Observatory, Centro Tecnologico ANID |
| ANID through Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT) |
| Fondo de Investigacion Estrategica en Sequia-ANID |
| Desertores Island |
| Centro Tecnológico ANID |
| Fundación Data Observatory |
| FI index in Colu |
| Agradecimiento |
|---|
| This study was funded by National Agency for Research and Development of Chilean Government (Program BECAS-ANID) - 21170394 grant and (Program FONDECYT-POSTDOCTORAL-ANID) - 3240540 grant ECS and by ANID through Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT) grant 1230420 to CL, 1130132 to JN, 1220167 to GSS, 1221699 to BRB, 1210171 to CAV. AdMV was funded by Sao Paulo Research Foundation (FAPESP, 2018/18491-4, 2020/08148-0). Additional support was provided by ANID - Millennium Science Initiative Program SECOS-ICN2019_015, Millennium Science Initiative Nucleus UPWELL-NCN19-153, Fondo de Investigacion Estrategica en Sequia-ANID FSEQ210030, and COPAS Coastal ANID FB210021. W.G was funded by Fundacion Data Observatory, Centro Tecnologico ANID DO210001. |
| We are acknowledged by the Coastal Ecosystems & Global Environmental Change Lab\u201D (ECCA Lab) for their valuable help and support during sampling and laboratory analysis. Also acknowledged by the National Agency for Research and Development of Chilean Government (Program FONDECYT- POSTDOCTORAL-ANID) \u2013 3240540. The authors would like to thank Sebastian Osorio for laboratory support of Laboratorio de Bioensayos y Limnolog\u00EDa Aplicada, Instituto de Ciencias Marinas y Limnol\u00F3gicas UACh, Universidad Austral de Chile for infrastructure used for CDOM and fDOM analysis. We acknowledges by the N\u00FAcleo de Investigaci\u00F3n en Data Science (NIDS), Facultad de Ingenier\u00EDa y Negocios, Universidad de las Am\u00E9ricas, Santiago, Chile for support. |
| Our results of the coastal regions could also be greatly influenced by the local oceanographic conditions north and south of Desertores Island and their seasonal variability (Le\u00F3n-Mu\u00F1oz et al., 2021; P\u00E9rez-Santos et al., 2021; Lara et al., 2016). The water age or residence time is higher (200\u2013400 days) north of Desertores Island and lower (50\u2013200 days) in the southern ISC, which is conditioned by wind circulation and water stratification (Pinilla et al., 2020). During austral fall and winter, westerlies are stronger, and the mixing of the surface layer increases, while during spring-summer, the westerly flow weakens, increasing the stratification and decreasing the water age (P\u00E9rez-Santos et al., 2021; Sald\u00EDas et al., 2019; Lara et al., 2016). Therefore, this suggests that degradation processes act for a longer time on the available CDOM in the coastal zone around Colu. On the other hand, the bacterial abundance is also higher in the Colu River than in Yaldad (Curra-S\u00E1nchez et al., 2022), and thus, bacterial degradation would be also higher in this zone, which is also supported by the higher FI index in Colu (Table S8). Primary productivity contributes to autochthonous CDOM, which is corroborated by high Chla values. In our study high chlorophyll values only coincided with high CDOMest values in the Colu coastal zone, suggesting that part of CDOM composition has an autochthonous origin derived from phytoplankton (Gonz\u00E1lez et al., 2019; Zhang et al., 2013). According to different authors (e.g., V\u00E1squez et al., 2021; Gonz\u00E1lez et al., 2019; Lara et al., 2010, 2016), the region north of Desertores Island (coastal zone of Colu) presents high chlorophyll concentrations during austral spring-summer and fall compared with the southern ISC (Yaldad Bay). These local oceanographic conditions should be influencing the residence, transport, and degradation of CDOM over time and space. The study of CDOM should be considered for the monitoring and planning of mussel farming activity in these coastal regions and in other similar zones around the world. This work represents the first attempt to use satellite data for a CDOM estimation in northern Patagonia, Chile. Considering that there is no data of CDOM (for such a long period) in Chilean waters, neither in situ nor estimated, this study represents a major step towards increasing our understanding of water quality dynamics nearshore.This study was funded by National Agency for Research and Development of Chilean Government (Program BECAS-ANID) \u2013 21170394 grant and (Program FONDECYT- POSTDOCTORAL-ANID) \u2013 3240540 grant ECS and by ANID through Fondo Nacional de Desarrollo Cient\u00EDfico y Tecnol\u00F3gico (FONDECYT) grant 1230420 to CL, 1130132 to JN, 1220167 to GSS, 1221699 to BRB, 1210171 to CAV. AdMV was funded by S\u00E3o Paulo Research Foundation (FAPESP, 2018/18491-4, 2020/08148-0). Additional support was provided by ANID \u2013 Millennium Science Initiative Program SECOS - ICN2019_015, Millennium Science Initiative Nucleus UPWELL - NCN19-153, Fondo de Investigaci\u00F3n Estrat\u00E9gica en Sequ\u00EDa - ANID FSEQ210030, and COPAS Coastal ANID FB210021. W.G was funded by Fundaci\u00F3n Data Observatory, Centro Tecnol\u00F3gico ANID DO210001. |
| We are acknowledged by the Coastal Ecosystems & Global Environmental Change Lab\u201D (ECCA Lab) for their valuable help and support during sampling and laboratory analysis. Also acknowledged by the National Agency for Research and Development of Chilean Government (Program FONDECYT- POSTDOCTORAL-ANID) \u2013 3240540. The authors would like to thank Sebastian Osorio for laboratory support of Laboratorio de Bioensayos y Limnolog\u00EDa Aplicada, Instituto de Ciencias Marinas y Limnol\u00F3gicas UACh, Universidad Austral de Chile for infrastructure used for CDOM and fDOM analysis. We acknowledges by the N\u00FAcleo de Investigaci\u00F3n en Data Science (NIDS), Facultad de Ingenier\u00EDa y Negocios, Universidad de las Am\u00E9ricas, Santiago, Chile for support. |