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115 results for “Niche overlap”
Figure 6. Medium-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 6. Medium-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year.
Figure 1 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 1. Map of the "Dnipro-Orilskiy»Nature Reserve and spawning locations. I – Nikolayev system of water bodies; II – river Protoch system and Obukhov floodplain; III – the channel of the river Dnipro; IV – water bodies of the Taromske ledge.
Figure 3 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 3 Histograms of expected values (blue bars) for species co-occurrence (c-scores) in carabid beetle communities of Central Asian steppes using the fixed-fixed algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Figure 2 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 2 Histograms of expected values (blue bars) for niche overlap in carabid beetle communities of Central Asian steppes using the RA2 algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Figure 1 from: Tsafack N, Wang X, Xie Y, Fattorini S (2021) Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 929-949. https://doi.org/10.3897/zookeys.1044.62478
Figure 1 Histograms of expected values (blue bars) for niche overlap in carabid beetle communities of Central Asian steppes using the RA3 algorithm to generate 10,000 null matrices. Investigated ecosystems were a desert steppe (a), a typical steppe (b), a meadow steppe (c), three sectors within the typical steppe (d–f), and two sectors within the meadow steppe (g, h). In each graph, the vertical red line indicates the observed value, long-dash lines indicate the one-tailed 95% limits, and the short-dash lines the two-tailed 95% limits.
Fig. 4 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 4. Values of trophic niche breadth (mean±standard error) of fish species in each spatial- temporal units in the Cuiabá River basin, Mato Grosso State, Brazil. PF= Pond Flood; PD= Pond Drought; RF= River Flood; RD= River Drought. Trophic niche breadth was considered low (0-0.39), intermediate (0.4- 0.6) or high (0.61-1) (modified of Grossman, 1986).
Fig. 2 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 2. Relative water levels in the study area, Cuiabá River and Chacororé Lake, State of Mato Grosso, Brazil, from March 2000 to February 2001, showing the rainy and dry seasons. The data were provided by the Agência Nacional de Águas (ANA).
Fig. 3 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 3. Relative frequency of the trophic niche breadth (B) a intervals of fish species in each spatial-temporal unit in the Cuiabá River basin, Mato Grosso State, Brazil. PF= Pond Flood; PD= Pond Drought; RF= River Flood; RD= River Drought. Trophic niche breadth was considered low (0-0.39), intermediate (0.4-0.6) or high (0.61-1) (modified of Grossman, 1986).
Impacts of climate-driven changes in habitat phenology on dynamics of niche overlaps and spatial associations in a boreal waterbird community
<p>A fundamental, yet little explored question is if climate change has affected niche relationships and spatial associations of native non-invasive species in established local communities, potentially affecting interspecific interactions and community organization. Here, long-term (1991–2020) changes in habitat niche overlaps (HNO) and spatial associations (SA) were studied in relation to climate-driven changes in habitat phenology in a community of eight migratory waterbird species breeding on 37 lakes in southeastern Finland.</p> <p>Overall timing of ice-out (IOD) and within-season variation in the timing of ice-out (standard deviation of IOD; SDIOD) in lakes determine habitat availability for waterbirds during the settling phase. Previous work has documented that IOD has advanced and SDIOD increased during the study period, with species responding differently to these changes in their habitat use.</p> <p>HNO and SA varied considerably in the 28 species pairs during the study period. The effect of IOD and SDIOD on that variation was generally small. However, the direction and magnitude of the effects of IOD and SDIOD on HNO and SA varied considerably among the species pairs. Overall differences in the direction and magnitude of the effect sizes suggested that the impacts of IOD and SDIOD on HNO and SA were stronger in species pairs in which the species were more similar in terms of settling phenology and stronger for early settling species than for late settling species. Observed changes in niche relationships probably reflect changes in interspecific interactions and affect the possibilities for heterospecific information use in habitat selection. </p>
Ecological specialization and niche overlap of subterranean rodents inferred from DNA metabarcoding diet analysis
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Impacts of climate-driven changes in habitat phenology on dynamics of niche overlaps and spatial associations in a boreal waterbird community
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Data from: Evaluating interspecific niche overlaps in environmental and geographic spaces to assess the value of umbrella species
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Fig. 1 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 1 Associations of the parasitic Maculinea butterflies (left) with their Myrmica host ant species (right). Solid lines indicate main host associations; dashed lines represent secondary hosts
Fig. 4 in Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change
Fig. 4 Estimated potential distributions of Maculinea butterflies (light grey) and Myrmica ants (dark grey) under the A2a climate change scenario in 2080 show large geographic overlaps of the butterfly
Predator Niche Overlap Predicts Effects on Aphid Vectors and a Vector-borne Virus
<p>Data and Code for manuscript entitled "Predator Niche Overlap Predicts Effects on Aphid Vectors and a Vector-borne Virus", available upon request.</p>
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International Brain Laboratory public data
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