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662 results for “Savanna”
Fig. 3 in The invasive white ginger lily (Hedichium coronarium) simplifies the trait composition of an insect assemblage in the littoral zone of a Savanna reservoir
Fig. 3. The average values of CWM-trait values of aquatic insect assemblages in invaded and non-invaded banks by white ginger lily of a reservoir in Brazilian Savanna (Cerrado Biome). A – CWM-FFG, B – CWM-feed, C – CWM-habit, D – CWM body length. CWM, Community level Weight-Mean.
Figure 4 in Soil Gamasina from savanna and ReviTec site of Ngaoundéré (Adamawa, Cameroon): abundance and species diversity
Figure 4. Gamasina from Ngaoundéré savanna and ReviTec site (idiosoma length IL in μ): (A) Rhodacaridae (AFROVL IL= 340), (B) Rhodacaridae (AFRNYI IL=320), (C) Hypoaspididae (HYOOP IL=490), (D) Hypoaspididae (HYGEOA IL= 570), (E) Hypoaspididae (HYGEOA, male IL= 430), (F) Ascidae (ASSP1, IL= 380), (G) Ascidae (ASSP8, IL= 270), (H) Gamasiphinae (GAMSP1, IL=350).
Figure 2 in Soil Gamasina from savanna and ReviTec site of Ngaoundéré (Adamawa, Cameroon): abundance and species diversity
Figure 2. Sampling design of ReviTec site with the selected 3 x (2x2)-bag-islands and one control, sampled in 2016 (n = 2). Upper left: The ReviTec site, including structures and all treatments and controls.
Figure 6 in Soil Gamasina from savanna and ReviTec site of Ngaoundéré (Adamawa, Cameroon): abundance and species diversity
Figure 6. Mean abundances (ind. in tsd./m2, 0 –10 cm, n = 2) for the three eudominant Gamasina morphospecies (Afrodacarellus spec.1, Multidentorhodacarus cf. aegypticus -a, Afrogamasellus cf. nyinabitabaensis). sav = savanna, others as in Tab. 1.
Figure 5 in Soil Gamasina from savanna and ReviTec site of Ngaoundéré (Adamawa, Cameroon): abundance and species diversity
Figure 5. Mean abundances (ind. in tsd./m2, 0 – 10 cm, n = 2) for the two most dominant Gamasina morphospecies (Rhodacarus cf. matatlanticae, Hypoaspis-Geolaelaps spec.1). sav = savanna, others as in Tab. 1.
Figure 1 in Soil Gamasina from savanna and ReviTec site of Ngaoundéré (Adamawa, Cameroon): abundance and species diversity
Figure 1. Weather data for the Ngaoundéré region, Jan. to Dec. 2016, provided by Ngaoundéré airport meteorological station; 1105 m ASL; precipitation = 1691 mm; temperature mean/min/max = 22/19/25°C; min rel. hum mean/min/max = 45/16/64 %.
Fig. 2 in Interseasonal variation of Chrysodeixis includens (Walker, [1858]) (Lepidoptera: Noctuidae) populations in the Brazilian Savanna
Fig. 2. Population variation of Chrysodeixis includens (bars) sampled through light traps, compared to monthly normal rainfall (mm/month) (dotted line), monthly accumulated rainfall (mm/month) (continuous line) and period of corn and soybean cultivation (grey area) during five nights each month (new moon), in the 'Estação Experimental da Embrapa Cerrados', Planaltina, DF, Brazil.
Fig. 1 in Interseasonal variation of Chrysodeixis includens (Walker, [1858]) (Lepidoptera: Noctuidae) populations in the Brazilian Savanna
Fig. 1. Monthly abundance of Chrysodeixis includens moths during three crop seasons. Vectors angles represents circular mean abundance while vectors length represents how clustered is the abundance data around the average.
Figure S4 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure S4. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) based on Gower distance measure indicating annual forb plant functional types (PFTs).
Figure S5 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure S5. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) based on Gower distance measure indicating perennial forb plant functional types (PFTs).
Figure S3 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure S3. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) based on Gower distance measure indicating perennial grass plant functional types (PFTs).
Figure S1 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure S1. Principal Co-ordinate Analysis (PCoA) scatter diagram of the species-trait matrix revealing a strong clustering based on life history.
Figure 3 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure 3. Herbaceous species (left) and trait (right) diversity measures benchmarked against the mean value calculated for the untransformed (protected) area (----) across transformed land-use types. Vertical bars denote 0.95 confidence intervals. Significant deviations from the protected area (Sidak posthoc pairwise comparison; p<0.05) are denoted by (*).
Figure S2 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure S2. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) based on Gower distance measure indicating annual grass plant functional types (PFTs).
Figure 4 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure 4. Principal Component Analysis (PCA) ordination of land-use type sampling plots correlated with plant functional types (PFT's). CAF (Communal abandoned fields); CR (Communal rangelands); NRSM (Naturally restored strip mine); RASM (Recently active strip mine); UMV (Untransformed Mopaneveld).
Figure 2 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure 2. Multidimensional Scaling (NMDS) ordination of sampling plots representing herbaceous species assemblages across land-use types. Broad groupings are encircled.
Figure 1 in Effects of land-use change on herbaceous vegetation in a semi-arid Mopaneveld savanna
Figure 1. Study area and locality of sampled sites. Strip mines and untransformed Mopaneveld is located at Pompeye (top) and communal areas at Lulekani (bottom).
FIGURE 4 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna
FIGURE 4 | Structural equation model diagrams showing the effects of landscape degradation (CDI) on the functional structure of stream fish assemblages from the Araguari River basin. CDI influenced functional diversity mediated by alterations in habitat heterogeneity and stability (A. Model fit: X2 = 32.8, df = 25, p = 0.51). CDI also influenced functional identity, mediated by changes in habitat type (B. Model fit: X2 = 44.9, df = 18, p = 0.13). Arrows indicate positive (black) and negative (gray) significant direct effects (p <0.05; *p <0.10), with thickness proportional to their power (standardized path coefficients along arrows). Biodiversity metrics – FRic: Functional Richness; FDiv: Functional Divergence; FEve: Functional Evennes; FSpe: Functional Specialization; FOri: Functional Originality; CWM1-3: Functional Identity. For physical-habitat codes, calculation and ecological meaning, see Tab. 1.
FIGURE 5 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna
FIGURE 5 | Ecomorphological space showing the position of each fish species (36) from the Araguari River basin. Each plot represents two axes of a principal component analysis (PCA), where species are plotted according to their respective trait values. Codes at the ends of the arrows are the most important ecomorphological traits for each PCA axis. For trait and species codes, see Tab. 2 and Tab. S3, respectively).
FIGURE 2 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna
FIGURE 2 | Examples of landscape and local-habitat conditions of the streams sampled across a degradation gradient in the Cerrado: A. Streams with a small strip of riparian forests in landscapes dominated by mechanized agriculture; B. Stream with relatively well-preserved local conditions, including forest on both banks; C. Stream surrounded by intermediate riparian cover; and D. Stream running in pasture areas without any forest.
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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
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OpenNeuro
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