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27 results for “Anthropization”
ITS1 metabarcoding revealing Phytophthora diversity in anthropized and natural ecosystems in Sicily, Italy
<p>This dataset on Zenodo contains the raw sequencing data for: <a href="https://doi.org/10.3390/jof8040330">La Spada <em>et al.</em> (2022) DNA Metabarcoding and Isolation by Baiting Complement Each Other in Revealing <em>Phytophthora</em> Diversity in Anthropized and Natural Ecosystems</a>.</p> <p>This a subset of 192 demultiplexed Illumina MiSeq raw sequencing samples run at the James Hutton Institute in January 2020, consisting of two 96-well plates labelled with the Illumina A and D multiplexing kits.</p> <p>There are 61 pairs of raw gzipped compressed FASTQ files (122 files), provided as a 930MB gzipped compressed tar-ball.</p> <p>From the D multiplexing kit, there are 27 Nature Reserve (<em>NR</em>) samples, 16 Botanical Garden (<em>BG</em>) samples, and 6 managed Citrus Orchard (<em>CO</em>) samples containing <em>Phytophthora</em> targeted ITS1 marker sequences, and 6 synthetic controls (prefix <em>GL1D</em>) which should have contained only four known synthetic sequences. Additionally included are the 6 synthetic controls (prefix <em>GL1A</em>) from the A multiplexing kit, which were clean.</p> <p>The filenames start with the sample name, followed by something like <em>DH03_S183_L001_R1_001.fastq.gz</em> where <em>DH03</em> indicates well <em>H03</em> on the 96-well plate labelled with the <em>D</em> multiplexing set, <em>S183</em> is the MiSeq sample number (from 1 to 192), and <em>R1</em> (or <em>R2</em>) indicate the Illumina forward (or reverse) paired read files.</p>
Data from: Worldwide impacts of landscape anthropization on mosquito abundance and diversity: a meta-analysis
<p><span>In recent decades, the emergence and resurgence of vector-borne diseases have been well documented </span><span>worldwide</span><span>, especially in tropical regions where protection and defence tools for human populations are still very limited. In this context, the </span><span>dynamics</span><span> of pathogens </span><span>are influenced by</span><span> landscape anthropization (i.e., urbanization, deforestation, and agricultural development)</span><span>,</span><span> and one of the mechanisms through which this occurs is a change in</span><span> the</span><span> abundance and/or diversity of the vectors. An increasing number of empirical studies </span><span>have </span><span>described heterogeneous effects of landscape anthropization on vector communities</span><span>; therefore</span><span>, it is difficult to have an overall picture of these effects on a global scale. Here, we performed a meta-analysis to quantify the impacts of landscape anthropization on a global scale on the presence/abundance and diversity of mosquitoes, the most important arthropods affecting human health. We obtained 338 effect sizes on 132 mosquito species, compiled from 107 studies in 52 countries </span><span>that</span><span> covered almost every part of the world. The results of the meta-analysis showed an overall decline of mosquito presence/abundance and diversity in response to urbanization, deforestation, and </span><span>agricultural</span><span> development, except for a few mosquito species</span><span> </span><span>that have been able to exploit landscape anthropization well. Our results highlighted that these few favoured mosquito species are those of global</span><span> concern. </span><span>They thus provide a better understanding of the overall effect of landscape anthropization on vector communities and</span><span>,</span><span> more importantly, suggest a greater risk of emergence and transmission of vector-borne diseases in human-modified landscapes.</span></p>
FIGURE 4 in Fish biodiversity of a tropical estuary under severe anthropic pressure (Doce River, Brazil)
FIGURE 4 | Main human-driven impacts after the 19th century and their consequences on the Doce River basin. Photos by A. Villela (Exotic species) and E. Nascimento (Mining dam collapse); the other pictures belong to the public domain (Tab. S2).
FIGURE 2 in Fish biodiversity of a tropical estuary under severe anthropic pressure (Doce River, Brazil)
FIGURE 2 | Number of species, genera and families for fish orders in the Doce River estuary. The following orders were represented by a single species and were omitted in the figure: Anguilliformes, Atheriniformes, Aulopiformes, Beloniformes, Blenniiformes, Centrarchiformes, Cyprinodontiformes, Elopiformes, Scombriformes, Spariformes, Symbranchiformes and Syngnathiformes (illustrative taxa images from Phylopic.org).
FIGURE 1 in Fish biodiversity of a tropical estuary under severe anthropic pressure (Doce River, Brazil)
FIGURE 1 | Location of the study area in Eastern Brazil with some features detailed: A. Sandy banks; B. Marginal creek; and C. Main channel of the Doce River estuary (DRE). Photos: Helder C. Guabiroba (A; C), Alexandre Villela (B). Aerial image source: (GEOBASES, 2015).
FIGURE 3 in Fish biodiversity of a tropical estuary under severe anthropic pressure (Doce River, Brazil)
FIGURE 3 | Examples of fishes recorded for the first time in the Doce River estuary. A. Cichlasoma dimerus; B. Pygocentrus nattereri; C. Coptodon rendalli; D. Butis koilomatodon; E. Lutjanus cyanopterus; F. Genidens barbus; G. Pimelodus maculatus; H. Catathyridium garmani. Photos: Helder C. Guabiroba (A, B, C, E, H), Flávio T. Szablak (D, F, G).
Data from: Worldwide impacts of landscape anthropization on mosquito abundance and diversity: a meta-analysis
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Reconciling community-level responses of wild bees to highly anthropized landscapes
<p>Data and source code for the analyses described in the manuscript.</p>
Figure 5 in Anthropic action affects the cuticular chemical profile of social wasps
Figure 5. Ordering by Detrended Correspondence Analyses (Axes 1 and 2) based on the cuticular hydrocarbon profile of the samples of the 3 species whose colonies were nested in two types of environments. The points on Axis 1, between 0 and 50 on the left, represent compounds more characteristic of samples from more anthropized environments and between 100 and 150 on the right, from less anthropized environments.
Figure 4 in Anthropic action affects the cuticular chemical profile of social wasps
Figure 4. Similarity dendrogram based on the cuticular hydrocarbon profile of the samples of the 3 species whose colonies were nested in two types of environments. Pentagon: more anthropized areas. Star: less anthropized areas.
Figure 3 in Anthropic action affects the cuticular chemical profile of social wasps
Figure 3. Bar charts showing the relative abundance and number of compounds belonging to the different classes of cuticular hydrocarbons present in the samples of Polistes versicolor (A), Polybia paulista (B) and Polybia occidentalis (C) whose colonies were nesting in more anthropized environments (black box) and less anthropized (white box). LA = Linear Alkanes, BA = Branched Alkanes, AK = Alkenes, ALD = Alkadienes.
Figure 2 in Anthropic action affects the cuticular chemical profile of social wasps
Figure 2. Similarity dendrogram generated based on the percentages of different types of land use in the municipalities where the colonies of the 3 species of social wasps were sampled. Pentagon: more anthropized areas. Star: less anthropized areas. DDS1: Dourados point 1; DDS2: Dourados point 2; IVIN: Ivinhema; MN1: Mundo Novo point 1; MN2: Mundo Novo point 2; PP: Ponta Porã.
Figure 1 in Anthropic action affects the cuticular chemical profile of social wasps
Figure 1. Satellite image showing the places in the municipalities where the colonies of the 3 social wasp species were nesting and, the percentages (pie charts) of the different types of land use and occupation (adapted from the IBGE, 2013 definition). Number 1 and 2 indicates the two collection points in the same city.
Supplementary material: Mammal diversity responses to anthropic, environmental, and seasonal changes within Caatinga seasonal dry forest landscapes
<p>Caatinga's conservation and biodiversity are threatened due to the intensification of anthropic activities and climate change. The mammals have different responses to seasonal and anthropic changes, however particularly in Caatinga, these effects are still poorly understood. We assessed the influence of anthropic (distance from urban areas and wind farms), environmental (distance from water), and seasonal (Normalized Difference Vegetation Index – NDVI and land surface temperature - LST) variables on the number of records and richness of medium and large-sized mammals in Brazilian Caatinga. We used camera traps in 2016/2017 and 2018/2019, estimated the variation (cv) of NDVI and LST, and generated Euclidean distance maps to anthropic and environmental variables at 250, 500, and 1000 m spatial scales. We performed Generalized Linear Models, used the Akaike information criterion, and calculated model averaging to assess the strength and direction of effect and the uncertainties of the winner models, respectively. The distance from wind farms and maximum LST had a noticeable effect on the number of records and total richness. The distance from wind farms had a negative effect on the records of <em>Dicotyles tajacu</em> and a positive effect on the records of <em>Leopardus pardalis</em> and richness. The maximum LST had a negative effect on the records of<em> Leopardus pardalis </em>and a positive<em> </em>effect on the records of <em>Puma concolor </em>and<em> Cerdocyon thous</em>. Our results emphasize that an unsustainable expansion of wind farms is likely to compromise mammal diversity. We found an opposite pattern for some species regarding LST. However, it is important to highlight that the conservation of vegetation areas on the top of mountains and springs, and the installation of artificial water sources are important strategies to mitigate the impacts of high temperatures on mammals' biodiversity in Caatinga.</p>
Figure 3 in Distribution of gall-inducing arthropods in areas of deciduous seasonal forest of Parque da Sapucaia (Montes Claros, MG, Brazil): effects of anthropization, vegetation structure and seasonality
Figure 3. Morphological characterization of the galls induced by arthropods in areas of deciduous seasonal forest of Parque da Sapucaia, Montes Claros, MG, Brazil: (A, B, C) Fabaceae – Dalbergia sp.; (D) undetermined; (E, F, G) Loganiaceae – Sthrychnos sp.; (H) Opiliaceae – Agonandra brasiliensis; (I) Sapindaceae – Serjania sp.; (J) Vitaceae – Cissus sp.; (K) Undetermined family 1; and (L) Undetermined family 2.
Figure 2 in Distribution of gall-inducing arthropods in areas of deciduous seasonal forest of Parque da Sapucaia (Montes Claros, MG, Brazil): effects of anthropization, vegetation structure and seasonality
Figure 2. Morphological characterization of the galls induced by arthropods in areas of deciduous seasonal forest of Parque da Sapucaia (Montes Claros, MG, Brazil): (A) Anacardiaceae – Myracrodruon urundeuva; (B) Schinopsis brasiliensis; (C, D) Asteraceae – Vernonanthura brasiliana; (E) Bignoniaceae undetermined; (F, G) Cannabaceae – Celtis brasiliensis; (H) Combretaceae – Combretum leprosum; (I) Combretum duarteanum; (J) Terminalia phaeocarpa; (K) Cucurbitaceae undetermined; (L) Fabaceae – Anadenanthera colubrine; (M, N) Apuleia leiocarpa; (O) Bauhinia pulchela; and (P) Bauhinia rufa.
Figure 1 in Distribution of gall-inducing arthropods in areas of deciduous seasonal forest of Parque da Sapucaia (Montes Claros, MG, Brazil): effects of anthropization, vegetation structure and seasonality
Figure 1. Location and characterization of the study area. (A) Location of Parque da Sapucaia (Montes Claros, MG, Brazil), between the urban area of Montes Claros and Parque Estadual da Lapa Grande. Source: Google Earth.(B) Characterization of the vegetation in the rainy season.(C) Characterization of the vegetation in the dry season.
Figure 6 in Distribution of gall-inducing arthropods in areas of deciduous seasonal forest of Parque da Sapucaia (Montes Claros, MG, Brazil): effects of anthropization, vegetation structure and seasonality
Figure 6. Comparison of the richness of gall morphotypes between different sampling seasons in the deciduous seasonal forest of Parque da Sapucaia (Montes Claros, MG, Brazil). (A) Comparison of the richness of gall morphotypes between the rainy and dry seasons. (B) Richness of gall morphotypes in the preserved and anthropized plots during the rainy and dry seasons.
Do highly anthropized hydrological conditions in marshes influence fish communities according to their life‐history strategies?
AbstractAlterations of natural hydrology in aquatic ecosystems are known to strongly impact the community composition of different taxa. Surprisingly, literature on the potential influence of hydrology on fish community composition is still very scarce in agricultural marshes, where canals represent one of the few remaining aquatic habitats. This study is aimed to address this research gap by monitoring fish communities in independent hydrological units differing in hydrology management over a 6 years period. We predicted variable fish responses to the hydrological context according to different life‐history strategies (opportunistic, equilibrium, or periodic species). Periodic and opportunistic species were the most frequently observed. Despite differences in hydrology between canals (but little variation over years), we found that hydrology explained only a very low proportion of variation in the composition of fish communities. In particular, the flooding duration of meadows in early spring did not influence the composition of fish communities, not even the abundance of periodic species expected to rely on such temporary habitats. Instead, fish communities were more influenced by local habitat variables (aquatic vegetation cover, turbidity, tree roots, and refuges under the canal banks). The hydrological management of most hydrological units for agricultural purposes (i.e., severe flood abatement in spring and shallow water depth in canals in summer) was found to be incompatible with conservation goals to promote more diverse fish communities between hydrological units. Therefore, we call for further investigations in similar habitats covering a larger range of hydrological conditions.
Supplementary material: Mammal diversity responses to anthropic, environmental, and seasonal changes within Caatinga seasonal dry forest landscapes
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.