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706 results for “protected area”
Figure 4 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 4. Predated/degraded eggs of White-backed Stilt Himantopus melanurus in Restinga de Jurubatiba National Park in October 2018. A, B and C: Colony 1 (Visgueiro), D: Colony 2 (Maria Menina). Photos: Lucas R.M. Porto.
Figure 3 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 3. Frequency of occurrence of the materials used to build the nests of the White-backed Stilt Himantopus melanurus in the Restinga de Jurubatiba National Park and adjacent area.
Figure 2 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 2. Nests of White-backed Stilt Himantopus melanurus monitored in Restinga de Jurubatiba National Park and adjacent area. A = Nest built with saltmarsh plant Sesuvium portulacastrum L. and suspended over cattle feces; B = Nest with dry saltmarsh plant and mud fragments; C = Nest with shells, saltmarsh plant and mud; D = Nest with mud and dry saltmarsh plant fragments. Photos: Lucas R.M. Porto.
Figure 6 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 6. Successful nesting records of the White-backed Stilt Himantopus melanurus in Restinga de Jurubatiba National Park and adjacent area. (A) White-backed Stilt chicks found in Visgueiro lagoon (September 2018); (B) Hatchling and eggs in the Maria Menina Lagoon (October 2018); (C and D) Chicks in the nests in Ubatuba lagoon (September 2019). Photos: Lucas R.M. Porto.
Figure 1 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 1. Breeding records of White-backed Stilt Himantopus melanurus in Brazil (WikiAves – blue, eBird – orange and literature – yellow, Table 2) and this study area (red) with colonies identified in the Restinga de Jurubatiba National Park and adjacent area, in 2018, 2019 and 2020, in the northern coast of Rio de Janeiro state. *Colonies: 1 = Visgueiro/2018; 2 = Maria Menina/2018; 3 = Robalo/2018; 4 = Ubatuba/2019; 5 = Visgueiro/2020; 6 = Adjacent Area/2020.
Figure 4 in Geographic distribution patterns of galling insects in a protected area of Atlantic forest (southeast, Brazil)
Figure 4. The fit of the count part of the "hurdle" model to the relationship between galling species richness and plant genus species richness.
Figure 2 in Geographic distribution patterns of galling insects in a protected area of Atlantic forest (southeast, Brazil)
Figure 2. Boxplots with jittered illustrating the galling species richness between year season, with jitered raw values strung vertical corresponding to plots (a, b, c), numbers the plots (N) and sites (n), and mean ± SD bars.
Figure 3 in Geographic distribution patterns of galling insects in a protected area of Atlantic forest (southeast, Brazil)
Figure 3. The fit of the count part of the ZIP model to the relationship between galling species richness and plant family species richness.
Figure 3 in Bird-plant interaction networks in native forests and eucalyptus plantations within a protected area
Figure 3. Comparison of the number of interactions between frugivorous birds and plants between native forest and eucalyptus plantation in the PEIT. (a): Fecal samples interactions (P-value = 0.83, W = 3.5); (b): Focal observation interactions (P-value = 0.99, W = 4.0).
Figure 3 in Identification key for anuran amphibians in a protected area in the northeastern Atlantic Forest
Figure 3. Discrete characters used in the identification key for the anuran amphibians occurring in the Environmental Protection Area of Catolé and Fernão Velho, Alagoas state, northeast Brazil. The details of characters are mentioned in the taxonomic key.
Figure 2 in Bird-plant interaction networks in native forests and eucalyptus plantations within a protected area
Figure 2. Interaction networks between frugivorous birds and zoochoric plants, according to the focal observations of birds in both sampled habitats. The circles represent the plant species, and the species of birds are represented by triangles. The acronyms in the center of the figures are the scientific names of the species (Supplementary material 1). The thickness of the links (lines) is related to the connectivity between each species (the thicker the line, the more records this interaction had). Each color represents a cluster of species that are more connected within each other than with between species from other clusters due to its modularity (Q). (a): Fragments of native forest; (b): Fragments of eucalyptus plantation.
Figure 1 in Identification key for anuran amphibians in a protected area in the northeastern Atlantic Forest
Figure 1. Discrete characters used in the identification key for the anuran amphibians occurring in the Environmental Protection Area of Catolé and Fernão Velho, Alagoas state, northeastern Brazil. Dorsal skin texture. (A) warty; (B) spiculate; (C) granular; (D) smooth; (E) shagreened; (F) tubercular.
Figure 2 in Identification key for anuran amphibians in a protected area in the northeastern Atlantic Forest
Figure 2. Discrete characters used in the identification key for the anuran amphibians occurring in the Environmental Protection Area of Catolé and Fernão Velho, Alagoas state, northeast Brazil. The details of characters are mentioned in the taxonomic key.
Figure 4 in Identification key for anuran amphibians in a protected area in the northeastern Atlantic Forest
Figure 4. Discrete characters used in the identification key for anuran amphibians occurring in the Environmental Protection Area of Catolé and Fernão Velho, Alagoas state, northeastern Brazil. The details of characters are mentioned in the taxonomic key.
Figure 1 in Bird-plant interaction networks in native forests and eucalyptus plantations within a protected area
Figure 1. Interaction networks between frugivorous birds and zoochoric plants, according to the fecal samples of birds in the understory of the two sampled habitats. The circles represent the plant species, and the triangles are representing the species of birds. The acronyms in the center of the figures are the scientific names of the species (Supplementary material 1). The thickness of the links (lines) is related to the connectivity between each species (the thicker the line, the more records this interaction had). Each color represents a cluster of species that are more connected within each other than with species from other clusters due to its modularity (Q). (a): F fragments of native forest; (b): Fragments of eucalyptus plantation.
Supplementary material 1 from: Virkkala R, Rajasärkkä A (2012) Preserving species populations in the boreal zone in a changing climate: contrasting trends of bird species groups in a protected area network. Nature Conservation 3: 1-20. https://doi.org/10.3897/natureconservation.3.3635
Mean densities and number of observations of species in 1981–1999 and in 2000–2009
Data from: Trends in habitat quality and habitat degradation within terrestrial protected areas
<p>Please see the paper<strong> "Trends in habitat quality and habitat degradation within terrestrial protected areas"</strong> for the definition of habitat quality, habitat degradation and different threats.</p> <p>This dataset describes global habitat quality and degradation for 2020, with a resolution of 250 m. Values of habitat quality and total habitat degradation can be used directly. <strong>Of note, values of habitat degradation caused by each threat should be multiplied by the relative threat weights before use.</strong> The details are as follows:</p> <ol> <li>"quality_c_2020.tif" represents habitat quality.</li> <li>"deg_sum_c_2020.tif" represents total habitat degradation which is caused by all 5 threats.</li> <li>"deg_sum_c_NonIrriCrp_2020.tif" represents habitat degradation caused by non-irrigated cropland, and should be multiplied by 0.2145 before use.</li> <li>"deg_sum_c_IrriCrp_2020.tif" represents habitat degradation caused by irrigated cropland, and should be multiplied by 0.2292 before use.</li> <li>"deg_sum_c_CrpVeg_2020.tif" represents habitat degradation caused by mosaic cropland-vegetation, and should be multiplied by 0.1623 before use.</li> <li>"deg_sum_c_VegCrp_2020.tif" represents habitat degradation caused by mosaic vegetation-cropland, and should be multiplied by 0.0541 before use.</li> <li>"deg_sum_c_Urban_2020.tif" represents habitat degradation caused by urban areas, and should be multiplied by 0.3400 before use.</li> </ol> <p>Besides, "InputData_forR.zip" provides data on protected-area-level habitat quality and habitat degradation, which is for statistical analyses by R in the paper "Trends in habitat quality and habitat degradation within terrestrial protected areas".</p>
Fig. 1 in Benthic hydrozoan assemblages as potential indicators of environmental health in a mediterranean marine protected area Abstract
Fig. 1: Sampling stations and associated level of impact in the study area.
Figure 2 in Coral cover percentage and health condition in Tioman Island marine protected area, Pahang, Malaysia
Figure 2. Classify the conservation of coral reef growth in Tiong Point, Tekek and Renggis Island.
Fig. 1 in Assessment of coastal fish assemblages before the establishment of a new marine protected area in the central Mediterranean: its role in formulating a zoning proposal Abstract
Fig. 1: Map of the study area with indication of sampling sectors around the promontory of Milazzo.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.