Marciel Elio Rodrigues

Dr. Marciel Elio Rodrigues

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

View All Publications
8 May 2020 in Journal of Applied Ecology
Verified
Journal Article
Closed access
PDF file
RDRenato B. Dala‐Corte
Renato B. Dala‐Corte
AMAdriano S. Melo
Adriano S. Melo
TSTadeu Siqueira
Tadeu Siqueira
LBLuis M. Bini
Luis M. Bini
RMRenato Tavares Martins
Renato Tavares Martins
Fabio de Oliveira Roque RoqueFabio de Oliveira Roque Roque
Fabio de Oliveira Roque Roque

23 February 2015 in Ecology and Evolution
Verified
Journal Article
Open access
PDF file
JHJani Heino
Jani Heino
AMAdriano S. Melo
Adriano S. Melo
LBLuis Mauricio Bini
Luis Mauricio Bini
FAFlorian Altermatt
Florian Altermatt
SASALMAN AL-SHAMI
SALMAN AL-SHAMI
CTColin R. Townsend
Colin R. Townsend
The hypotheses that beta diversity should increase with decreasing latitude and increase with spatial extent of a region have rarely been tested based on a comparative analysis of multiple datasets, and no such study has focused on stream insects. We first assessed how well variability in beta diversity of stream insect metacommunities is predicted by insect group, latitude, spatial extent, altitudinal range, and dataset properties across multiple drainage basins throughout the world. Second, we assessed the relative roles of environmental and spatial factors in driving variation in assemblage composition within each drainage basin. Our analyses were based on a dataset of 95 stream insect metacommunities from 31 drainage basins distributed around the world. We used dissimilarity‐based indices to quantify beta diversity for each metacommunity and, subsequently, regressed beta diversity on insect group, latitude, spatial extent, altitudinal range, and dataset properties (e.g., number of sites and percentage of presences). Within each metacommunity, we used a combination of spatial eigenfunction analyses and partial redundancy analysis to partition variation in assemblage structure into environmental, shared, spatial, and unexplained fractions. We found that dataset properties were more important predictors of beta diversity than ecological and geographical factors across multiple drainage basins. In the within‐basin analyses, environmental and spatial variables were generally poor predictors of variation in assemblage composition. Our results revealed deviation from general biodiversity patterns because beta diversity did not show the expected decreasing trend with latitude. Our results also call for reconsideration of just how predictable stream assemblages are along ecological gradients, with implications for environmental assessment and conservation decisions. Our findings may also be applicable to other dynamic systems where predictability is low.

1 February 2016 in Biological Conservation
Verified
Journal Article
Closed access
MRMarciel Elio Rodrigues
Marciel Elio Rodrigues
FRFabio de Oliveira Roque
Fabio de Oliveira Roque
JQJose Manuel Ochoa Quintero
Jose Manuel Ochoa Quintero
JPJoão Carlos Pena
João Carlos Pena
DSDiogo Caribé de Sousa
Diogo Caribé de Sousa
PJPaulo De Marco Junior
Paulo De Marco Junior

1 February 2016 in Ecological Indicators
Verified
Journal Article
Closed access
FVFrancisco Valente-Neto
Francisco Valente-Neto
FRFabio de Oliveira Roque
Fabio de Oliveira Roque
MRMarciel Elio Rodrigues
Marciel Elio Rodrigues
Leandro JuenLeandro Juen
Leandro Juen
CSChristopher M. Swan
Christopher M. Swan

29 July 2018 in Insect Conservation and Diversity
Verified
Journal Article
Closed access
PDF file
MRMarciel Elio Rodrigues
Marciel Elio Rodrigues
FRFabio De Oliveira Roque
Fabio De Oliveira Roque
RGRhainer Guillermo‐Ferreira
Rhainer Guillermo‐Ferreira
VSVictor S. Saito
Victor S. Saito
MSMichael J. Samways
Michael J. Samways

1 January 2017 in Iheringia. Série Zoologia
Verified
Journal Article
Open access
PDF file
MRMarciel Elio Rodrigues
Marciel Elio Rodrigues
Fabio de Oliveira Roque RoqueFabio de Oliveira Roque Roque
Fabio de Oliveira Roque Roque
RESUMO Nós registramos 198 espécies de Odonata para o Estado de Mato Grosso do Sul, distribuídas em dez famílias: Calopterygidae (6 spp.), Coenagrionidae (58 spp.), Dicteriadidae (1 sp.), Lestidae (5 spp.), Protoneuridae (10 spp.), Pseudostigmatidae (1 sp.), Aeshinidae (8 spp.), Corduliidae (1 sp.), Gomphidae (13 spp.) e Libellulidae (95 spp.). Uma família, seis gêneros e 33 espécies como primeiro registro de coleta no estado são incluídos.