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389 results for “woodlands”
On following pages: 3. Pacific Jumping Mouse (Zapus trinotatus); 4. Western Jumping Mouse (Zapus princeps); 5. Woodland Jumping Mouse (Napaeozapus insignis). in Zapodidae
On following pages: 3. Pacific Jumping Mouse (Zapus trinotatus); 4. Western Jumping Mouse (Zapus princeps); 5. Woodland Jumping Mouse (Napaeozapus insignis).
Distribution. SW Western Australia (Dryandra Woodland and Perup Nature Reserve); reintroduced into several sites in SW Western Australia, SE South Australia, and W New South Wales. in Myrmecobiidae
Distribution. SW Western Australia (Dryandra Woodland and Perup Nature Reserve); reintroduced into several sites in SW Western Australia, SE South Australia, and W New South Wales.
Subspecies and Distribution. B. p. ogilbyi Waterhouse, 1841 — far SW Western Australia (Dryandra Woodland, Kingston, Perup Nature Reserve, and Tutanning Nature Reserve). Introduced or reintroduced into many sites in Western Australia, South Australia, and New South Wales. in Potoroidae
Subspecies and Distribution. B. p. ogilbyi Waterhouse, 1841 — far SW Western Australia (Dryandra Woodland, Kingston, Perup Nature Reserve, and Tutanning Nature Reserve). Introduced or reintroduced into many sites in Western Australia, South Australia, and New South Wales.
On following pages: 115. Reed Vole (Alexandromys fortis); 116. Sakhalin Vole (Alexandromys sachalinensis); 117. Mongolian Vole (Alexandromys mongolicus); 118. Middendorff's Vole (Alexandromys middendorffii; 119. Gromov's Vole (Alexandromys gromovi); 120. Lacustrine Vole (Alexandromys limnophilus); 121. Root Vole (Alexandromys oeconomus); 122. Taiwan Vole (Alexandromys kikuchii); 123. Japanese Grass Vole (Alexandromys montebell); 124. Afghan Vole (Microtus afghanus); 125. Bucharian Vole (Microtus bucharensis); 126. Juniper Vole (Microtus juldaschi); 127. Short-tailed Field Vole (Microtus agrestis); 128. Mediterranean Field Vole (Microtus lavernedii): 129. Portuguese Field Vole (Microtus rozianus); 130. Insular Vole (Microtus abbreviatus); 131. Singing Vole (Microtus miurus); 132. Rock Vole (Microtus chrotorrhinus); 133. Zempoaltepec Vole (Microtus umbrosus); 134. Tarabundi Vole (Microtus oaxacensis); 135. Guatemalan Vole (Microtus guatemalensis); 136. Woodland Vole (Microtus pinetorum); 137. Jalapan Vole (Microtus quasiater); 138. California Vole (Microtus californicus): 139. Beach Vole (Microtus brewer); 140. Mexican Vole (Microtus mexicanus); 141. Mogollon Vole (Microtus mogollonensis); 142. Prairie Vole (Microtus ochrogasten; 143. Taiga Vole (Microtus xanthognathus); 144. Cabrera''s Vole (Microtus cabrerae); 145. North American Water Vole (Microtus richardson); 146. Gray-tailed Vole (Microtus canicaudus). in Cricetidae
On following pages: 115. Reed Vole (Alexandromys fortis); 116. Sakhalin Vole (Alexandromys sachalinensis); 117. Mongolian Vole (Alexandromys mongolicus); 118. Middendorff's Vole (Alexandromys middendorffii; 119. Gromov's Vole (Alexandromys gromovi); 120. Lacustrine Vole (Alexandromys limnophilus); 121. Root Vole (Alexandromys oeconomus); 122. Taiwan Vole (Alexandromys kikuchii); 123. Japanese Grass Vole (Alexandromys montebell); 124. Afghan Vole (Microtus afghanus); 125. Bucharian Vole (Microtus bucharensis); 126. Juniper Vole (Microtus juldaschi); 127. Short-tailed Field Vole (Microtus agrestis); 128. Mediterranean Field Vole (Microtus lavernedii): 129. Portuguese Field Vole (Microtus rozianus); 130. Insular Vole (Microtus abbreviatus); 131. Singing Vole (Microtus miurus); 132. Rock Vole (Microtus chrotorrhinus); 133. Zempoaltepec Vole (Microtus umbrosus); 134. Tarabundi Vole (Microtus oaxacensis); 135. Guatemalan Vole (Microtus guatemalensis); 136. Woodland Vole (Microtus pinetorum); 137. Jalapan Vole (Microtus quasiater); 138. California Vole (Microtus californicus): 139. Beach Vole (Microtus brewer); 140. Mexican Vole (Microtus mexicanus); 141. Mogollon Vole (Microtus mogollonensis); 142. Prairie Vole (Microtus ochrogasten; 143. Taiga Vole (Microtus xanthognathus); 144. Cabrera''s Vole (Microtus cabrerae); 145. North American Water Vole (Microtus richardson); 146. Gray-tailed Vole (Microtus canicaudus).
Observational foraging behaviour of avian pollinators in restored and remnant Banksia woodlands
<p>Pollinators, and the pollination services they provide, are critical for seed set and self-sustainability of most flowering plants. Despite this, pollinators are rarely assessed in restored plant communities, where their services are largely assumed to re-establish. This data set contains the bird-pollinator richness, foraging and bird interaction behaviour between natural and restored Banksia woodland sites in Western Australia. These parameters were measured for natural communities of varying size and degree of fragmentation, and restored plant communities of high and low complexity for three years, in the summer and winter flowering of <i>Banksia attenuata</i> and <i>B. menziesii</i>, respectively. Data collected was used to assess the re-establishment of avian pollinators in restored sites.</p>
On following pages: 446. Glover Allen's Shaggy Rat (Dasymys alleni); 447. Middle Shaggy Rat (Dasymys medius); 448. Rwandan Shaggy Rat (Dasymys rwandae); 449. Tanzanian Shaggy Rat (Dasymys sua); 450. CrawfordCabral's Shaggy Rat (Dasymys cabrali); 451. Angolan Shaggy Rat (Dasymys nudipes); 452. Roberts's Shaggy Rat (Dasymys robertsii); 453. Cape Shaggy Rat (Dasymys capensis), 454. African Shaggy Rat (Dasymys incomtus); 455. Ethiopian Thicket Rat (Grammomys minnae); 456. Arid Woodland Thicket Rat (Grammomys aridulus); 457. Bunting's Thicket Rat (Grammomys buntingi); 458. Western Rainforest Thicket Rat (Grammomys poensis); 459. Albertine Rift Thicket Rat (Grammomys dryas); 460. Eastern Rainforest Thicket Rat (Grammomys kuru); 461. Short-snouted Thicket Rat (Grammomys brevirostris); 462. Gray-headed Thicket Rat (Grammomys caniceps); 463. Mount Kenya Thicket Rat (Grammomys gigas); 464. East African Thicket Rat (Grammomys ibeanus); 465. Macmillan's Thicket Rat (Grammomys macmillani); 466. Selous's Thicket Rat (Grammomys selousi); 467. in Muridae
On following pages: 446. Glover Allen's Shaggy Rat (Dasymys alleni); 447. Middle Shaggy Rat (Dasymys medius); 448. Rwandan Shaggy Rat (Dasymys rwandae); 449. Tanzanian Shaggy Rat (Dasymys sua); 450. CrawfordCabral's Shaggy Rat (Dasymys cabrali); 451. Angolan Shaggy Rat (Dasymys nudipes); 452. Roberts's Shaggy Rat (Dasymys robertsii); 453. Cape Shaggy Rat (Dasymys capensis), 454. African Shaggy Rat (Dasymys incomtus); 455. Ethiopian Thicket Rat (Grammomys minnae); 456. Arid Woodland Thicket Rat (Grammomys aridulus); 457. Bunting's Thicket Rat (Grammomys buntingi); 458. Western Rainforest Thicket Rat (Grammomys poensis); 459. Albertine Rift Thicket Rat (Grammomys dryas); 460. Eastern Rainforest Thicket Rat (Grammomys kuru); 461. Short-snouted Thicket Rat (Grammomys brevirostris); 462. Gray-headed Thicket Rat (Grammomys caniceps); 463. Mount Kenya Thicket Rat (Grammomys gigas); 464. East African Thicket Rat (Grammomys ibeanus); 465. Macmillan's Thicket Rat (Grammomys macmillani); 466. Selous's Thicket Rat (Grammomys selousi); 467.
Data on bird abundance in urban woodlands in 32 Swedish cities
<p>The expansion of urban areas is increasingly contributing to biodiversity declines. Several studies have analyzed the effect of increasing urbanization on bird diversity, but few have differentiated effects of urban landscapes (matrix) from changes in focal habitat quality at multiple spatial scales. In this study we analyzed the effect of urbanization on bird communities in individual (local scale) and across multiple (regional scale) cities while controlling for the quality of sampled natural habitats. We conducted bird point counts and habitat quality mapping of trees, dead wood and shrubs in 459 forest remnants along an urbanization gradient in 32 cities in Sweden. We then analyzed how the degree of urbanization affected species richness of woodland-breeding bird and red-listed bird species at a regional and local scale. We also analyzed how urbanization affected beta-diversity and dissimilarity between communities at the different spatial scales, and if dissimilarities in species communities along the urbanization gradient were driven by species nestedness or turnover. We found that urbanization decreased species richness, and the number of red-listed species, at both the regional and local scale. Dissimilarities in woodland-breeding bird communities among urban, semi-urban and peri-urban areas at the local scale were particularly due to turnover, and at the regional scale to nestedness. Since there was no difference in habitat quality among woodlands across the urbanization gradient, we conclude that landscape urbanization systematically causes poorer and more homogeneous bird communities. However, despite that natural habitats in cities contribute less to the regional diversity, they are critical to maintain the local bird communities of individual cities and their surroundings.</p>
Data from: Arbuscular mycorrhizal communities respond to nutrient enrichment and plant invasion in phosphorus-limited eucalypt woodlands
<p>Arbuscular mycorrhizal fungi (AMF) facilitate ecosystem functioning through provision of plant hosts with phosphorus (P), especially where soil P is limiting. Changes in soil nutrient regimes are expected to impact AMF, but the direction of the impact may depend on context. We predicted that nitrogen (N)-only enrichment promotes plant invasions and exacerbates their P limitation, increasing the utility of AMF and promoting AMF diversity. We expected that enrichment with N, P and other nutrients similarly promotes plant invasions, but decreases the benefit and diversity of AMF because P is readily available for both native and exotic plants. We tested these hypotheses in eucalypt woodlands of south-western Australia, that occur on soils naturally low in P. We evaluated AMF communities within three modified ground-layer states representing different types of nutrient enrichment and associated plant invasions. We compared these modified states to near-natural reference woodlands. AMF richness varied across ground-layer states. The moderately invaded/N-enriched state showed the highest AMF richness, while the highly invaded/NP-enriched state showed the lowest AMF richness. The reference state and the weakly invaded/enriched state were intermediate. AMF richness and colonisation were higher in roots of exotic than native plant species. AMF community composition differed among ground-layer states, with the highly invaded/NP-enriched state being most distinct. Distinctions among states were often driven by family-level patterns. Reference and moderately invaded/N-enriched states each supported distinct groups of zero-radius operational taxonomic units (zOTUs) in Acaulosporaceae, Gigasporaceae and Glomeraceae, whereas Gigasporaceae and Glomeraceae were nearly absent from the highly invaded/NP-enriched state. Further, Diversisporaceae and Glomeraceae were most diverse in the moderately invaded/N-enriched state.</p> <p> Synthesis. Both the nature of soil nutrient enrichment and plant provenance matter for AMF. N-only enrichment of low-P soils increased AMF richness, likely due to introduction of AMF-dependent exotic plant species and exacerbation of their P-limitation. In contrast, multi-nutrient enrichment, decreased AMF richness potentially due to a decrease in host dependence on AMF, regardless of host provenance. The changes in AMF community composition with nutrient enrichment and plant invasion warrants further research into predicting the functional implications of these changes.</p>
Supplementary material 1 from: Clarke S, Stenekes N, Kancans R, Woodland C, Robinson A (2018) Undelivered risk: A counter-factual analysis of the biosecurity risk avoided by inspecting international mail articles. NeoBiota 40: 73-86. https://doi.org/10.3897/neobiota.40.28840
Variogram of the residuals of the random forest model : Explanation note: A variogram designed to visually assess whether there is spatial correlation present in the residuals of the random forest model. This does not indicate any spatial correlation.
FIGURE 35. Melidia adfinia n in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 35. Melidia adfinia n. sp. female (A) and females of M. laminata from the foothills of the West Usambara Mountains (B) and the South Pare Mountains, habitus (C) and face (D).
FIGURE 30. Kefalia laeta n in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 30. Kefalia laeta n. sp. from Mingali Forest Reserve A. Male B. Mating pair C, D. Different colour forms of female.
FIGURE 29. Kefalia grafika n in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 29. Kefalia grafika n. sp. from Wotta Forest Reserve on the Mpwapwa plateau, male (A) and female (B).
FIGURE 28 in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 28. Subgenital plates and semilateral to dorsal view on last abdominal tergites of female Kefalia species A, B. K. grafika n. sp. C, D. K. laeta n. sp. E, F. K. omorfa n. sp.
FIGURE 39 in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 39. Subgenital plates of female Melidia species A. M. adfinia n. sp. B. M. kenyensis C. M. laminata (Damassa, Kenya) D. M. laminata (Kilimanjaro).
FIGURE 26 in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 26. Male apices of Kefalia species. A. K. laeta n. sp. B. K. grafika n. sp. C, D. K. omorfa n. sp.
FIGURE 25 in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 25. Stridulatory files of Kefalia species. A. K. laeta n. sp. B. K. omorfa n. sp. C. K. grafika n. sp.
FIGURE 32 in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 32. Oscillograms of calling songs of Eulioptera and Kefalia species, overview. Details of pronounced song ending, 1-s-sections.
FIGURE 24. Kefalia omorfa n in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 24. Kefalia omorfa n. sp. from East Chenene Forest Reserve A. Male B–D. Different colour forms of females.
FIGURE 22 in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 22. Morphological details of male Eulioptera excavata n. sp. A. Semilateral view on apex B. Rear view on apex C. Subgenital plate D. Stridulatory file.
FIGURE 34 in Orthoptera (Tettigoniidae and Acridoidea) from Miombo woodlands of Central Tanzania with the description of new taxa
FIGURE 34. Power spectra of the calling song of Eulioptera and Kefalia species. In species with restricted frequency range black lines mark its end. In K. grafika n. sp., the spectrum of the long group of impulses is indicated in blue and that of the final isolated impulses in green.
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.