Douglas F. M. Gherardi

Dr. Douglas F. M. Gherardi

Department of Earth Observation and Geoinformatics, National Institute for Space Research, São José dos Campos, São Paulo, Brazil
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Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2001 in Coral Reefs
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Douglas F. M. GherardiDouglas F. M. Gherardi
Douglas F. M. Gherardi
DBD. W. J. Bosence
D. W. J. Bosence

22 January 2019 in Journal of Geophysical Research: Biogeosciences
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NGNelson de Almeida Gouveia
Nelson de Almeida Gouveia
Douglas F. M. GherardiDouglas F. M. Gherardi
Douglas F. M. Gherardi
FWFabien Wagner
Fabien Wagner
EPEDUARDO PAES
EDUARDO PAES
VCV. J. Coles
V. J. Coles
Luiz AragaoLuiz Aragao
Luiz Aragao
The Amazon river is a major source of terrestrially derived organic carbon to the tropical Atlantic Ocean. Field, satellite and a vertically generalized production model data were used to estimate empirical surface salinity and fit an inverse logit function to investigate the limiting effect of salinity on the productivity in the Amazon river plume. Satellite data included Moderate Resolution Imaging Spectroradiometer, Soil Moisture and Ocean Salinity, and Aquarius missions. Previous empirical surface salinity models have relied on a very narrow range of salinity values and satellite data to estimate the spatial extent of the river plume. The empirical surface salinity model presented here extended the range of salinity values and captures all the main surface mesoscale features, particularly those related to the main path of the low‐salinity water. We also show that it is possible to gain new insights on the spatiotemporal variability of the Amazon river plume by improving the empirical surface salinity and expanding its sampling period with the aid of remote sensing data. The variability of primary productivity is dominated by the subannual (6 month) and annual (12 month) frequency bands. Low‐salinity river water influences surface primary productivity continuously during the year through mechanisms associated with the western tropical Atlantic circulation and vertical mixing.

1 December 2004 in Brazilian Journal of Oceanography
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Douglas F. M. GherardiDouglas F. M. Gherardi
Douglas F. M. Gherardi
A small (100,000 m²) rhodolith bank located at the Arvoredo Marine Biological Reserve (Santa Catarina, Brazil) has been surveyed to determine the main bank components, the community structure, and carbonate production rates. Data from five photographic transects perpendicular to Arvoredo Island shore were complemented with sediment samples and shallow cores, all collected by scuba diving. The main bank component is the unattached, nongeniculate, coralline red algae Lithophyllum sp., used as substrate by the zoanthid Zoanthus sp. Percentage cover of living and dead coralline algae, zoanthids and sediment patches account for nearly 98% of the investigated area. Classification and ordination of samples showed that differences in the proportion of live and dead thalli of Lithophyllum sp. determine the relative abundances of zoanthids. Results also indicate that similarity of samples is high and community gradients are subtle. Significant differences in percentage cover along transects are concentrated in the central portion of the bank. Low carbonate content of sediments from deeper samples suggests low rates of recruitment and dispersal of coralline algae via fragmentation. However, carbonate production of Lithophyllum sp ranging from 55-136.3 g m-2 yr-1 agrees with production rates reported for other temperate settings. In the long run, rhodolith density at Arvoredo Is. is likely to be dependent upon random dispersal of spores and/or fragments from other source areas.

1 April 2014 in Progress in Oceanography
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DDDaniela Faggiani Dias
Daniela Faggiani Dias
LPLuciano Pezzi
Luciano Pezzi
Douglas F. M. GherardiDouglas F. M. Gherardi
Douglas F. M. Gherardi
RCRicardo De Camargo
Ricardo De Camargo

1 April 1999 in PALAIOS
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Douglas F. M. GherardiDouglas F. M. Gherardi
Douglas F. M. Gherardi
DBDaniel W. J. Bosence
Daniel W. J. Bosence

14 June 2019 in Scientific Reports
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CEClarissa Akemi Kajiya Endo
Clarissa Akemi Kajiya Endo
Douglas F. M. GherardiDouglas F. M. Gherardi
Douglas F. M. Gherardi
LPLuciano Pezzi
Luciano Pezzi
LLLeonardo Nascimento Lima
Leonardo Nascimento Lima
The total spatial coverage of Marine Protected Areas (MPAs) within the Brazilian Economic Exclusive Zone (EEZ) has recently achieved the quantitative requirement of the Aichii Biodiversity Target 11. However, the distribution of MPAs in the Brazilian EEZ is still unbalanced regarding the proportion of protected ecosystems, protection goals and management types. Moreover, the demographic connectivity between these MPAs and their effectiveness regarding the maintenance of biodiversity are still not comprehensively understood. An individual-based modeling scheme coupled with a regional hydrodynamic model of the ocean is used to determine the demographic connectivity of reef fishes based on the widespread genusSparisomafound in the oceanic islands and on the Brazilian continental shelf between 10° N and 23° S. Model results indicate that MPAs are highly isolated due to extremely low demographic connectivity. Consequently, low connectivity and the long distances separating MPAs contribute to their isolation. Therefore, the current MPA design falls short of its goal of maintaining the demographic connectivity ofSparisomapopulations living within these areas. In an extreme scenario in which the MPAs rely solely on protected populations for recruits, it is unlikely that they will be able to effectively contribute to the resilience of these populations or other reef fish species sharing the same dispersal abilities. Results also show that recruitment occurs elsewhere along the continental shelf indicating that the protection of areas larger than the current MPAs would enhance the network, maintain connectivity and contribute to the conservation of reef fishes.