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171 results for “deciduous forest”
Figure 27 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 27. Regression of pH on C. (C.) udumalpetense population in third row.
Figure 25 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 25. Regression of Humidity on C. (C.) udumalpetense population in second row.
Figure 19 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 19. Regression of pH on C. (C.) udumalpetense population in first row.
Figure 18 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 18. Monthly fluctuations of total population and N(%) in Rows I, II and III.
Figure 30 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 30. Regression of N (%) on C. (C.) udumalpetense population in third row.
Figure 3 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 3. Showing the layout of the Sampling sites) Each sample unit (NWSE) represents 1m2).
Figure 24 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 24. Regression of temperature on C. (C.) udumalpetense population in second row.
Figure 1 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 1. Showing forest floor of the Trimurti Dam, Tamil Nadu.
Figure 17 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 17. Showing the monthly fluctuations of total population and pH in Rows I, II and III.
Figure 2 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 2. Showing location of the study area (forest floor of the Trimurti Dam, Tamil Nadu).
Figure 23 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 23. Regression of pH on C. (C.) udumalpetense population in second row.
Figure 26 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 26. Regression of N (%) on C. (C.) udumalpetense population in second row.
Figure 29 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 29. Regression of humidity on C. (C.) udumalpetense population in third row.
Data from: Deciduous forests hold conservation value for birds within South Andaman Island, India
<p>We assessed the importance of deciduous and evergreen habitats for forest birds (including several endemic and threatened species) within South Andaman Island, India. To this end, we compared the composition and diversity (taxonomic, functional and phylogenetic) of forest birds across the two habitat types, and evaluted species-specific responses to habitat variables within the island.</p> <p>The dataset collected and R codes used in this study are published here. Bird species traits were sourced from Tobias et al. (2022) and Wilman et al. (2014). Phylogenetic trees were sourced from <a href="https://birdtree.org/">birdtree.org</a> (Jetz et al. 2012).</p> <p><br><strong>Taxonomic Coverage: </strong>Birds, 54 species</p> <p><strong>Geographic Coverage:</strong> South Andaman Island, Andaman and Nicobar Islands, India</p> <p><strong>Temporal Coverage:</strong> March-May 2022 and December 2022-April 2023</p> <p> </p> <p><strong>Brief summary of field methods: </strong><br>We conducted line-transect surveys for forest birds across evergreen and deciduous forests in South Andaman Island, India. <br>Twenty-seven transects were sampled either in the morning (between 0515 – 0930 hrs) or in the afternoon (between 1515 – 1730 hrs) from March-May 2022 and December 2022-April 2023. For every bird detected, we noted species identity, group size (if visible), time of detection, and whether the bird(s) was seen or heard. Detections of flying birds and nocturnal species (owls and nightjars) were excluded.<br>For each transect, we measured - <br>a. tree density and basal area (using the point-centered quarter method, or PCQ); <br>b. canopy cover, proportion of deciduous trees, and presence of cane, bamboo runners and clumps of standing bamboo (averaged across PCQ points);<br>c. number of large trees and cut logs (counted within a 20m-wide belt along each transect); and <br>d. distance from nearest settlement/village (using Google Earth Pro).</p> <p>The dataset published here contains eight data files and two R code files, along with a <strong>ReadMe.txt</strong> file that explains each of these files.</p> <p> </p> <p><strong>Funding:</strong></p> <p>Science and Engineering Research Board (Govt. of India) - SRG/2021/001523</p> <p>The Rufford Foundation</p> <p>The Rauf Ali Fellowship</p> <p>Arvind Datar</p> <p>Rohini Nilekani Philanthropies</p> <p> </p> <p><strong>References:</strong></p> <p>Jetz, W., G. H. Thomas, J. B. Joy, K. Hartmann, and A. O. Mooers. 2012. The global diversity of birds in space and time. Nature 491:444–448.<br>Tobias, J. A., C. Sheard, A. L. Pigot, A. J. M. Devenish, J. Yang, et al. 2022. AVONET: morphological, ecological and geographical data for all birds. Ecology Letters 25:581–597.<br>Wilman, H., J. Belmaker, J. Simpson, C. de la Rosa, M. M. Rivadeneira, and W. Jetz. 2014. EltonTraits 1.0: Species-level foraging attributes of the world’s birds and mammals. Ecology 95:2027–2027.</p>
Figure 28 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 28. Regression of Temperature on C. (C.) udumalpetense population in third row.
Figure 21 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 21. Regression of humidity on C. (C.) udumalpetense population in first row.
Figure 20 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 20. Regression of Temperature on C. (C.) udumalpetense population in first row.
Figure 22 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 22 Regression of N (%) on C. (C.) udumalpetense population in first row.
Figure. Camera traps points (l) in study area. in Camera trapping of medium and large-sized mammals in western Black Sea deciduous forests in Turkey
Figure. Camera traps points (l) in study area.
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.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.