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12 results for “biotic differentiation”

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zenodo40/100

FIGURE 4 in Biotic differentiation in headwater creeks after the massive introduction of non-native freshwater aquarium fish in the Paraíba do Sul River basin, Brazil

FIGURE 4 | Contamination Index (CI) in each headwater creek in the Muriaé Ornamental Aquaculture Center, Brazil. Headwater creeks: LO = Lopes; QU = Queiroga; BS = Boa Sorte; RO = Rochedo; VA = Varginha; SL = São Luís.

opencc-by-4.0Oct 2021View details →
zenodo40/100

FIGURE 3 in Biotic differentiation in headwater creeks after the massive introduction of non-native freshwater aquarium fish in the Paraíba do Sul River basin, Brazil

FIGURE 3 | The 10 most widespread non-native exotic fish in the studied headwater creeks located in the Muriaé Ornamental Aquaculture Center, Brazil. Only non-native species with at least 50% of occurrence were listed.

opencc-by-4.0Oct 2021View details →
zenodo40/100

FIGURE 2 in Biotic differentiation in headwater creeks after the massive introduction of non-native freshwater aquarium fish in the Paraíba do Sul River basin, Brazil

FIGURE 2 | Richness of native (blue) and non-native species [translocated (yellow) and exotic (red)], in each headwater creek in the Muriaé Ornamental Aquaculture Center, Brazil. Headwater creeks: LO = Lopes; QU = Queiroga; BS = Boa Sorte; RO = Rochedo; VA = Varginha; SL = São Luís.

opencc-by-4.0Oct 2021View details →
zenodo40/100

FIGURE 1 in Biotic differentiation in headwater creeks after the massive introduction of non-native freshwater aquarium fish in the Paraíba do Sul River basin, Brazil

FIGURE 1 | Sampling sites in the area affected by the Muriaé Ornamental Aquaculture Center in Brazil. Municipalities: Muriaé, Miradouro, Vieiras, and São Francisco do Glória (Total area of 1,419 km2; IBGE, 2020). Headwater creeks: LO = Lopes; QU = Queiroga; BS = Boa Sorte; RO = Rochedo; VA = Varginha; SL = São Luís.

opencc-by-4.0Oct 2021View details →
zenodo40/100

FIGURE 5 in Biotic differentiation in headwater creeks after the massive introduction of non-native freshwater aquarium fish in the Paraíba do Sul River basin, Brazil

FIGURE 5 | Distances to the centroid obtained from the two main Principal Coordinate Analysis – PCoA axis (see Anderson et al., 2006 for further details) of fish community Jaccard dissimilarities in six headwater creeks (LO = Lopes; QU = Queiroga; BS = Boa Sorte; RO = Rochedo; VA = Varginha; SL = São Luís) sampled in historical (only native species) and in contemporary (native + non-natives) periods, in the Muriaé Ornamental Aquaculture Center, Brazil.

opencc-by-4.0Oct 2021View details →
zenodo40/100

FIGURE 6 in Biotic differentiation in headwater creeks after the massive introduction of non-native freshwater aquarium fish in the Paraíba do Sul River basin, Brazil

FIGURE 6 | Position of six headwater creeks (LO = Lopes; QU = Queiroga; BS = Boa Sorte; RO = Rochedo; VA = Varginha; SL = São Luís), scaled by temperature (Temp, blue gradient colours), and number of ponds (Np, circle size) used to raise fish species in the nearest fish farm (i.e., anthropogenic proxy of propagule pressure) in the Muriaé Ornamental Aquaculture Center, Brazil.

opencc-by-4.0Oct 2021View details →
zenodo36/100

Data from: Biotic homogenization and differentiation of plant communities in tropical and subtropical forests

<h4><strong>The article is published in Conservation Biology and available at:&nbsp;<a href="https://doi.org/10.1111/cobi.14025">https://doi.org/10.1111/cobi.14025</a></strong></h4> <h4>Here we developed a framework to assess the current 'state of the art' of biotic homogenization and differentiation processes in tropical and subtropical plant communities globally, using a systematic literature review.</h4> <h4>Please find below the analysis code and data used in the study.</h4> <h2>Descriptions for the files and scripts</h2> <h3>The `R` folder contains.</h3> <p><strong>1. *analysis_homogenization-differentiation.R*</strong> - script to generate the frequency and explanatory plots used in the manuscript.</p> <h3><br>The `output` folder contains:</h3> <p><strong>1. figures</strong><br><strong>&nbsp; &nbsp; 1. *Fig.1.tiff*</strong> - Figure 1 main text.<br><strong>&nbsp; &nbsp; 2. *Fig.2.tiff*</strong> - Figure 2 main text.<br><strong>&nbsp; &nbsp; 3. *Fig.3.tiff*</strong> - Figure 3 main text.<br><strong>&nbsp; &nbsp; 4. *Fig.4.tiff*</strong> - Figure 4 main text.<br><strong>&nbsp; &nbsp; 5. *Fig.5.tiff*</strong> - Figure 5 main text.<br><strong>&nbsp; &nbsp; 6. *Fig.6.tiff*</strong> - Figure 6 main text.<br><strong>&nbsp; &nbsp; 7. *Fig.7.tiff*</strong> - Figure 7 main text.</p> <p><strong>2. supp</strong><br><strong>&nbsp; &nbsp;1. *appendix_S1-homogenization-differentiation.xlsx*</strong> - Supplementary material of the article. The file contains 4 sheets (*data*, *legend*, *scales_size* and *search_keywords*)</p> <h3><br>The `data` folder contains:</h3> <p><strong>1. processed</strong><br><strong>&nbsp; &nbsp; 1. *data_homogenization_refined.xlsx*</strong> - the data used in the analysis. Each analyzed variable was separated by a different sheet.</p> <p><br><strong>1. raw</strong><br><strong>&nbsp; &nbsp; 1. *data_homogenization.xlsx*</strong> - the raw data used in the analysis.</p> <p>&nbsp;</p> <h2>Acknowledgments</h2> <p>This work was financed by the&nbsp;Coordena&ccedil;&atilde;o de Aperfei&ccedil;oamento de Pessoal de N&iacute;vel Superior&nbsp;(CAPES) (Finance code 001), through Portal de Peri&oacute;dicos to&nbsp;articles access and scholarship granted to J.M.F.K.</p>

opencc-by-4.0Aug 2022View details →
dryad36/100

Data from: Phylogenetic structure of the extinction and biotic factors explaining differential survival of terrestrial notosuchians at the Cretaceous-Palaeogene crisis

<p><span>Although the clade Crocodylomorpha is represented by few extant species (Crocodylia), it has a rich fossil record. Hundreds of species adapted to terrestrial, semi-aquatic and marine environments, have existed over more than 200 million years. Numerous studies have attempted to characterize the factors driving the diversification and extinction events of Crocodylomorpha, resulting in ambiguous and even contradictory conclusions, which points to the need for phylogenetically and temporally smaller-scaled studies. Here, we focus on differential survival at the Cretaceous-Palaeogene crisis of Notosuchia, a diverse clade of mostly terrestrial Crocodylomorpha </span><span>that</span><span> achieved great diversity during the Cretaceous. More precisely, we tested the effect of body size and palaeotemperatures on notosuchian survival probability during the K-Pg crisis as well as the effect of diet on the evolution of their body size. We find that Notosuchia showed an evolutionary trend towards larger body sizes through time, associated with a shift from an omnivorous to a carnivorous diet. This may explain why sebecids were the only notosuchians to survive the K-Pg crisis. We also corroborate conclusions of previous studies that detected a Lagerstätten effect occurring in the Adamantina Formation (Upper Cretaceous, Brazil, Bauru Group). This work confirms the value of more finely-scaled macroevolutionary studies for understanding the history of a rich and complex group </span><span>such as</span><span> Crocodylomorpha.</span></p>

opencc-zeroJan 2023View details →
dryad36/100

Data from: Phylogenetic structure of the extinction and biotic factors explaining differential survival of terrestrial notosuchians at the Cretaceous-Palaeogene crisis

Open the record for dataset details and reuse information.

publicFeb 2023View details →
dryad32/100

Plant neighbors differentially alter a focal species' biotic interactions through changes to resource allocation

<p>Plant resource allocation strategies are thought to be largely a consequence of changing abiotic conditions and evolutionary history. However, biotic interactions also influence how a plant allocates resources. As a result, plants mediate indirect interactions between organisms above- and belowground through resource allocation. Neighboring plants can influence plant fitness directly through competition for resources, and indirectly by altering associated community interactions (associational effects). Given the importance of community interactions for plant success, and the known ability for plant neighbors to change these interactions, the goal of this "pandemic project" was to separate inter- and intraspecific plant associations, above- and belowground, to understand how different plant neighbors alter plant resource allocation, and if this in turn alters biotic interactions. We specifically investigated associational effects on herbivory and soil microbial community interactions. To do so, we established a common garden experiment, manipulating plant neighbors and extent of interactions (aboveground only versus above- and belowground interactions, using customized pot types), and measured changes to a focal plant and its biotic interactions over two growing seasons. We found evidence of both neighbor effects and pot type, showing that neighbor interactions affect a focal plant through both above- and belowground processes, and how the focal plant is affected depends on neighbor identity. Though neighbors did not directly alter herbivory or most soil microbial interactions, they did alter the relationship between belowground microbial communities and plant function. Resource allocation responses were reduced with time, showing the importance of extending experiments beyond a single growing season, and is an important consideration when making predictions about plant responses to changing conditions. This study contributes to a growing body of work showing how the community context affects the above- and belowground interactions of a plant through plant resource allocation strategies.</p>

opencc-zeroJun 2024View details →
dryad32/100

Plant neighbors differentially alter a focal species’ biotic interactions through changes to resource allocation

Open the record for dataset details and reuse information.

publicJun 2024View details →
geo20/100

Long-term growth under elevated CO2 differentially suppresses biotic stress genes in non-acclimated versus cold-acclimated winter wheat

GEO Series GSE48620. Triticum aestivum. 12 samples. Type: Expression profiling by array.

openGEO-OpenAug 2013View details →

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