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254 results for “lowland forest”
FIG. 1 in Epiphyllous bryophyte diversity in lowland rain forest and lowland cloud forest of French Guiana
FIG. 1. ― Species accumulation curves and estimated total number of species (*) of epiphyllous bryophytes in the understory of lowland cloud forest (LCF) and lowland rain forest (LRF) at Nouragues, French Guiana.
Fig. 3 in Danger under wheels: mammal roadkills in the threaten lowland Atlantic Forest in southeast Brazil
Fig. 3. Roadkill hotspots of mammal species recorded along the RJ-122 highway (from Km 1 to Km 34) between October 2017 and January 2020, in the state of Rio de Janeiro, Brazil. The largest number of roadkills is concentrated in two regions (black location icon), Km 23/24 (N = 22 and N = 24) and Km 28/29 (N = 18 and N = 22).
Fig. 1 in Danger under wheels: mammal roadkills in the threaten lowland Atlantic Forest in southeast Brazil
Fig. 1. Biplot of the five most roadkilled species of mammals (Didelphis aurita, Coendou insidiosus, Cerdocyon thous, Dasypus novemcinctus and Callithrix jacchus) along the RJ-122 highway between October 2017 and January 2020, in the state of Rio de Janeiro, Brazil. Circle: mammal species; Triangle: months of the year.
Fig. 2 in Danger under wheels: mammal roadkills in the threaten lowland Atlantic Forest in southeast Brazil
Fig. 2. Frequency of roadkill mammals over every kilometer along the RJ- 122 highway between October 2017 and January 2020, in state of Rio de Janeiro, Brazil. Highlights are km 23, km 24, km 28 and km 29.
Spatial patterns in neighbourhood effects on woody plant selection and bark stripping by deer in a lowland alluvial forest
<p>This dataset presents the incidence of bark stripping (present or not) and its intensity by two deer species mapped over all woody individuals ≥ 1 cm diameter at breast height (DBH). Stripping intensity was measured as the maximal percentage of the stripped stem circumference at the part of the stem with the horizontally widest stripping wound. A four-hectare square research plot is located in the Ranšpurk old-growth forest reserve in the south-eastern part of the Czech Republic (N48°40´, E16°56´).</p> <p>Several treefalls damaged the fence around the reserve in late autumn 2017, allowing fallow deer (<em>Dama dama</em> L.) and red deer (<em>Cervus elaphus</em> L.) to enter the reserve from the deer enclosure. The number of fallow deer and red deer individuals in the reserve was unknown, and likely fluctuated over time as they could enter and leave the reserve at any time. Data were collected in July 2018, ca 9–10 months after the fence was damaged. Although the fence was not fixed at the time of data collection (deer could still enter and leave the reserve), stripping wounds were not fresh and were likely received between late autumn 2017 and early spring 2018.</p> <p>The datasets includes tree and shrub individuals that fell within species-specific DBH range (susceptible individuals). The range was defined for each tree and shrub species as DBH<sub>min </sub>≤ DBH ≤ DBH<sub>max</sub>, where DBH<sub>min</sub> and DBH<sub>max</sub> are DBH of the smallest and largest stripped individuals. Individuals smaller and larger than this range were excluded from analyses, because small and large individuals may be relatively less often stripped. Woody species with ≥ 70 individuals are presented, because stochasticity does not allow meaningful spatial point pattern analyses with fewer individuals per species.</p> <p>Data contains the x and y coordinates of each individual in a local coordinate system, the woody species, its code, diameter at breast height, the incidence of stripping (present = 1 or not = 0), and the intensity of stripping (%).</p> <p> </p> <p> </p>
Comparative physiology of canopy tree leaves in evergreen and deciduous forests in lowland Thailand
<p><span>Three major forest types in lowland Thailand and its adjacent parts in Southeast Asia are mixed deciduous forest (MDF), dry dipterocarp forest (DDF) and dry evergreen forest (DEF). We report the leaf physiology of canopy trees in these forests. The leaf mass-based photosynthetic rates (<em>A</em><sub>max</sub>), stomatal conductance (<em>G</em><sub>max</sub>) and photosynthetic nitrogen use efficiency were significantly different between the deciduous forests (MDF and DDF) and the evergreen forest (DEF). The canopy trees of MDF with thick, eutrophic soils had the highest intrinsic water use efficiency (<em>A</em><sub>max</sub>/<em>G</em><sub>max</sub>) among the forest types. Forest-to-forest variations in leaf mass area were related to different nutrient use strategies (less vs. more conservative) associated with different soil nutrients rather than with leaf phenology/longevity. In the interspecific variations within each forest, <em>A</em><sub>max</sub> in MDF and DEF was limited by foliar phosphate, whereas that in DDF was limited by foliar nitrogen. The close association between leaf physiology and soil properties suggests that climate change and increasing human impacts will disrupt this association, leading to forest degradation and dysfunction.</span></p>
Comparative physiology of canopy tree leaves in evergreen and deciduous forests in lowland Thailand
<p>The major forest types in lowland Thailand and its adjacent parts in Southeast Asia with the distinct dry season are the mixed deciduous forest (MDF), dry dipterocarp forest (DDF) and dry evergreen forest (DEF). We report the first comprehensive data set in leaf physiology of canopy trees in these three forest types and clarify adaptive functional differences of woody plants among three forests. Unlike temperate forests, the forest variations in leaf mass per area (LMA) were related to nutrient use strategies (less vs. more conservative) associated with soil nutrients rather than with leaf phenology (evergreen vs. deciduous). In the interspecific variations within each forest, <em>A<sub>max</sub></em> in MDF and DEF was limited by foliar phosphate, whereas that in DDF was limited by foliar nitrogen. The close association between leaf physiology and soil properties suggests that climate change and increasing human impacts will disrupt this association, leading to forest degradation and dysfunction.</p>
Fig. 2 in Saproxylic weevils and edaphic beetles as indicators of environmental quality of relict forests in Piedmont lowlands (Coleoptera)
Fig. 2 – Map of Parco della Partecipanza, completely surrounded by agroecosystems. Map data: Google Earth, Maxar Technologies, used according to Google Earth Terms of Service.
Fig. 1 in Saproxylic weevils and edaphic beetles as indicators of environmental quality of relict forests in Piedmont lowlands (Coleoptera)
Fig. 1 – The collecting sites. Map data: Google Earth, Maxar Technologies, used according to Google Earth Terms of Service.
Fig. 5 in Saproxylic weevils and edaphic beetles as indicators of environmental quality of relict forests in Piedmont lowlands (Coleoptera)
Fig. 5 – Some of the weevils collected in the research. a, Kyklioacalles navieresi (Boheman, 1837); b, Kyklioacalles aubei (Boheman, 1837); c, Acalles echinatus (Germar, 1824); d, Echinodera hypocrita (Boheman, 1837). From Stüben (2014-2020), used with permission.
Fig. 10 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 10. Phrynobatrachids (Phrynobatrachus), ptychadenids (Ptychadena), and a pyxicephalid (Aubria). (A) Phrynobatrachus sp. aff. auritus (male). (B) Ph. cf. giorgii (male). (C) Ph. cf. auritus (male). (D) Ptychadena aequiplicata (female). (E) Pt. christyi (male), extralimital specimen from Mosite (0.956°N, 23.560°E). (F) Pt. perreti (male). (G) Pt. sp. aff. mascareniensis (male). (H) Aubria masako (male).
Fig. 7 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 7. Hyperoliids, Afrixalus, Congolius, and Cryptothylax. (A) Afrixalus equatorialis (male, nocturnal coloration). (B) A. equatorialis (female, nocturnal coloration). (C) A. osorioi (male). (D) A. cf. quadrivittatus (amplectant pair). (E) Congolius robustus (male). (F) C. robustus (female). (G) Cryptothylax greshoffii (male). (H) C. greshoffii (female).
Fig. 9 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 9. Hyperoliids, Hyperolius and Hylambates. (A) Hyperolius phantasticus boulengeri (amplectant pair, both sexes in Phase F). (B) H. phantasticus boulengeri under UV light (male, Phase J). (C) H. cf. platyceps, hourglass morph (male). (D) H. cf. platyceps, striped morph, "forma pleurotaenia" (male). (E) H. cf. platyceps, hourglass morph, ventral view (female). (F) H. ocellatus purpurescens (female). (G) Hylambates verrucosus (male). (H) H. verrucosus, ventral view (same specimen as in G).
Fig. 6 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 6. Bufonids, Sclerophrys. (A) S. cf. funerea, dorsal view (male in breeding condition, with smoother dorsal skin). (B) S. cf. funerea, brown morph (female). (C) S. cf. funerea, black morph (male). (D) S. sp. aff. camerunensis 1, with distinct coloration (subadult). (E) S. sp. aff. camerunensis 1 (male). (F) S. sp. aff. camerunensis 1 (female). (G) S. sp. aff. camerunensis 2 (male). (H) S. sp. aff. camerunensis 2 (female).
Fig. 8 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 8. Hyperoliids, Hyperolius. (A) H. cf. cinnamomeoventris, striped morph (male). (B) H. cf. cinnamomeoventris, striped morph (female). (C) H. cf. cinnamomeoventris, hourglass morph (male). (D) H. cf. cinnamomeoventris, hourglass morph (female); note the species-specific red coloration of the inner thighs in both sexes in (C) and (D). (E) H. cf. cinnamomeoventris, hourglass morph (male). (F) H. cf. langi, striped morph, "forma albomarginata" (male). (G) H. phantasticus boulengeri (male, Phase J). (H) H. phantasticus boulengeri (female).
Fig. 4 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 4. Arthroleptids, Arthroleptis and Cardioglossa. (A) Arthroleptis phrynoides (female). (B) A. phrynoides, ventral view (same specimen as in A). (C) A. tuberosus procterae (female). (D) A. sp. aff. phrynoides (female). (E) A. sp. aff. variabilis (male). (F) A. sp. aff. xenochirus (male). (G) Cardioglossa congolia (male). (H) C. congolia, ventral view (same specimen as in G).
Fig. 3 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 3. Species richness of amphibians in Kokolopori (species accumulation curves) as based on the number of species observed (black) and statistically estimated using the Jackknife 1 (blue) and Chao 2 (red) methods. (A) Wet season, May 2018. (B) Wet season, November 2018. (C) Dry season, August 2019. (D) Cumulative data from the entire period, 2018–2020 (48 days). Red dotted lines show the 95% confidence interval for Chao 2.
Fig. 5 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 5. Arthroleptids, Leptopelis. (A) L. calcaratus meridionalis, brown morph (male). (B) L. calcaratus meridionalis, orange-black morph (male). (C) L. christyi, brown morph (male). (D) L. christyi, green morph (male). (E) L. christyi (juvenile). (F) L. ocellatus schiotzi (amplectant pair). (G) L. ocellatus schiotzi (male). (H) L. ocellatus schiotzi (female).
Fig. 1 in Amphibians of Kokolopori: an introduction to the amphibian fauna of the Central Congolian Lowland Forests, Democratic Republic of the Congo
Fig. 1. Map of the study site. (A) Democratic Republic of the Congo (DRC), Congo Basin (red line) with the Congo River (blue line), and Kokolopori (yellow rectangle). Vegetation types follow Vancutsem et al. (2009): greenish tones correspond to forests, brownish tones to open areas; within Kokolopori (inset in left corner), dark green corresponds to primary dense moist forests, lighter green to old and young secondary forests, and yellow-white to rural and agricultural complexes. (B) Kokolopori Bonobo Nature Reserve (yellow line) as delineated in 2009 on a satellite map corresponding to 2005–2010 (FACET 2010), with collecting sites (red dots). White stars denote four sampling areas (base camps). Kokolopori is a spring area of two large rivers, Lopori and Luo (= Maringa).
Figures 9–16 in Four new species close to Sonitha libera and Sonitha myoctona from the Congolian lowland forests (Lepidoptera, Lasiocampidae)
Figures 9–16. ♂ of Sonitha spp. collected (CGM/USTTB) and in nature from DRC, Ekongo. 9. S. adedapo sp. n. 10. S. bekombo sp. n. 11–13. S. myoctona, GS 1025, 1024. 14–16. S. olanrewaju sp. n. 14. HT, GS 1022. 15. PT, GS 0996. Scale bar for spread moths – 1 cm.
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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.