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opennotspecifiedDec 2013View details →

FIGURE 4 in A new shrub frog in the genus Platymantis (Ceratobatrachidae) from the Nakanai Mountains of eastern New Britain Island, Bismarck Archipelago

FIGURE 4. Close views of ventral surfaces of right hand (ML = 10.3 mm) and foot (PL = 15.3 mm) of Platymantis citrinospilus holotype (A: SAMA R64758).

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Seasonal community stability increased with water addition and shrub removal but reduced with nitrogen addition in semi-arid grassland

1. Stability is a useful indicator of the functioning and sustainability of an ecosystem, and many studies have explored the effects of anthropogenic disturbance on the inter-annual stability of plant communities. However, the effects of multiple anthropogenic stressors on seasonal community stability have not been clearly elucidated, especially for vulnerable semi-arid grasslands. 2. During the growing season in the 5th year of the experiment, we determined how nitrogen (N) addition, water addition, and shrub removal altered seasonal community stability in a semi-arid grassland dominated by the shrub Caragana microphylla on the Mongolian Plateau. 3. We found that shrub removal, N addition, and water addition had different effects on the stability of the community and plant functional groups (PFGs). Shrub removal increased seasonal community stability mostly via increases in the stability of perennial forbs and C4 plants, and shrub removal did not alter the effects of N addition or water addition on seasonal community stability or PFG stability. 4. N addition decreased seasonal community stability mostly via decreases in the stability of perennial rhizome grasses and C4 plants. Water addition increased seasonal community stability mostly via increases in the stability of annuals and biennials, perennial forbs, perennial rhizome grasses, dominant species, and C4 plants. Species asynchrony and PFG stability but not species richness or soil abiotic or biotic variables helped to maintain seasonal community stability under N addition or water addition. 5. Our findings indicate that future scenarios of increases in N deposition and shrub encroachment will strongly reduce community stability in drylands, and that future scenarios of increases in precipitation together with shrub removal might help to maintain the stability of this and other dryland ecosystems.

opencc-zeroJan 2023View details →

opencc-by-4.0Feb 2023View details →

PAH content in soil under shrubs influence

The file contains data on the content of PAH in soils under the influence of various species of shrubs in pine stands. The data covers different genetic horizons.

FIGURE 6. 3D in Perennial shrubs in Egypt: current status and updated red data list

FIGURE 6. 3D scatter plot showing the ordination of the recorded species along habitat, geographical, and abundance gradients.

FIGURE 4 in Perennial shrubs in Egypt: current status and updated red data list

FIGURE 4. Number of shrubs in the Egyptian flora in relation to the national phyto-geographical regions. S: Sinai Peninsula, M: Mediterranean coastal region, GE: Gebel Elba region, N: Nile region including Delta, Valley, and Faiyum, O: Oases of the western desert, D: All deserts of Egypt except that of Sinai, and R: Red Sea region.

FIGURE 3 in Taxonomic status of Pseudophilautus conniffae (Anura: Rhacophoridae) an endemic shrub frog restricted to South-Western wet zone of Sri Lanka

FIGURE 3. PC1 vs. PC2 factor scores of the principal components analysis of P. conniffae, P. limbus, P. stictomerus and P. folicola, show P. conniffae and P. limbus clustered together and two species, P. stictomerus and P. folicola, separated well from each other in PC space.

FIGURE 2 in Taxonomic status of Pseudophilautus conniffae (Anura: Rhacophoridae) an endemic shrub frog restricted to South-Western wet zone of Sri Lanka

FIGURE 2. Maximum likelihood phylogram based on mitochondrial 16 rRNA showing the phylogenetic position of P. conniffae. Numbers above branches indicate bootstrap support values on right (ML BS ≥ 75) and Bayesian posterior probabilities on left (BI PP ≥ 0.95), respectively; low support values (ML BS <75, BI PP <0.95) are denoted by "-". Recovered species delimitation based on overall significance of results for molecular species delimitation methods ABGD and mPTP using 16S rRNA are shown as grey color rectangles on the right.

FIGURE 1. A in Taxonomic status of Pseudophilautus conniffae (Anura: Rhacophoridae) an endemic shrub frog restricted to South-Western wet zone of Sri Lanka

FIGURE 1. A. Map showing the sampling localities of P. conniffae; B-D. dorsolateral view of the three specimens in life, JPF 41, JPF 64, JPF 65; E. Habitat of P. conniffae.

opencc-by-4.0May 2023View details →

Table S1: Projective cover of dwarf shrub, grass, moss and lichens layers at the studied bog massif (%)

Projective cover of dwarf shrub, grass, moss layers and lichens at the ombrotrophic Ilasskoe bog, Arkhangelsk regoin russia

opencc-by-4.0Jul 2023View details →

A test of microclimatic facilitation and shrub canopy volume across the Californian aridity gradient.

In this study, we examined microclimatic parameters, including near-surface air temperature (NSAT), near-surface relative humidity (NSRH), and surface ground temperature (SGT) using a handheld device across seven site in California to test the hypothesis that foundation shrub canopies can provide microclimatic amelioration in dryland ecosystems.

opencc-by-4.0Aug 2023View details →

Dataset of Sub-alpine shrub in Zao

This dataset includes UAV image of the study area of Mt. Zao, and annotated images of Sub-alpine shrub species. 1) Zao_site5.zip This folder contains the data files used in our first experience. Orthomosaic is an RGB image covering the entire study area. There is an annotated image treeTopImage that shows the tops of the shrub species and where all the target shrub species are located. The GT folder contains masks annotating the regions of each shrub species. The following six shrub species are targeted. 1)Inutsuge, 2)Kaede, 3)Kyaraboku, 4)Matsu, 5)Nanakamado, 6)Sakura These annotated images are used to create patch images representing the single shrub needed for deep learning classification from the orthomosaic. 2) SubDivision_Datasets.zip This folder contains the data for the four subsites used in the second experience, obtained by dividing the above study area into four parts.

Fig. 3 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions

Fig. 3. Heatmap and dendrogram based on Euclidean distance and Ward's clustering algorithm. FSG = fructose–sucrose–glucose; Glu_ChCl = glucose–choline chloride; Pro_Mal = proline–malic acid; Su_Ca = sucrose–citric acid.

Figure 1 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions

Figure 1. Principal component analysis scores plot indicating the sample groupings of the different NaDES extracts. This analysis was based only on the putative phenolic compounds. FSG = fructose–sucrose–glucose; Glu_ChCl = glucose– choline chloride; Pro_Mal = proline–malic acid; Su_Ca = sucrose–citric acid.

Fig. 4 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions

Fig. 4. PCA biplot of the anthocyanins determined by HPLC. FSG = fructose–sucrose–glucose; Glu_ChCl = glucose–choline chloride; Pro_Mal = proline–malic acid; Su_Ca = sucrose–citric acid.

Fig. 5 in The phenolic profile extracted from the desiccation-tolerant medicinal shrub Myrothamnus flabellifolia using Natural Deep Eutectic Solvents varies according to the solvation conditions

Fig. 5. Bar plots showing the concentrations of the anthocyanins detected using HPLC in the different NaDES extracts. Values are based on the mean of three replicates. The error bars represent the standard deviation.