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389 results for “woodlands”
Survival and home ranges of woodland birds in restoration plantings
<p>Woodland birds are a species assemblage of conservation concern, and their persistence in fragmented agricultural landscapes is dependent on both the preservation of existing woodland remnants and the implementation of restoration plantings. However, little is known about the habitat-use and persistence of birds in fragmented agricultural landscapes. We present a detailed, population-oriented study of woodland birds in temperate eucalypt woodland restoration plantings and remnant woodland patches in the South-west Slopes bioregion of New South Wales, Australia. First, we undertook a three-year mark-recapture project to assess annual survival and site fidelity in restoration plantings and woodland remnants. We supplemented our recapture efforts with resightings of colour-banded individuals. Second, we tracked individual birds of two species – superb fairywren (<i>Malurus cyaneus</i>) and willie wagtail (<i>Rhipidura leucophrys</i>) – and documented snapshots of their home ranges and movement patterns during the breeding season. Annual survival in the woodland bird assemblage was lower than expected (51%). Home ranges of the superb fairywren were positively correlated with patch size, and were constrained by patch edges in linear sites. Superb fairywrens and willie wagtails were more likely to travel longer distances between substrates while foraging in linear sites. Willie wagtails engaged in significant gap-crossing (up to 400 m) between adjacent habitat patches. Our findings indicate that 1) patch isolation and certain patch configurations place resident birds at an energetic disadvantage, and 2) in our study area, woodland bird populations are continuing to decline. We recommend landscape-scale restoration programs aim to address ongoing population declines. Studies such as ours conducted over longer time periods would provide a deeper understanding of habitat-use and population processes of woodland birds in fragmented agricultural landscapes.</p>
Supplementary material 3 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Datafile 3
Supplementary material 1 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Datafile 1
Supplementary material 2 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Datafile 2
Supplementary material 5 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Table S1 and Figs S1–S4
Supplementary material 4 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Datafile 4
Figure 6 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Figure 6 Taxonomic composition to family level of ECM fungi in gallery forest and woodlands. Abundance measured as fraction of reads (A) and richness measured as fraction of species hypotheses (SH) (B).
Figure 3 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Figure 3 Species accumulation curves for each plot. Curves are based on SHs, by sequencing depth (A) and number of trees sampled (B), presented separately for three gallery forest sites (left panels) and six woodland sites (right panels). Points represent the observed species richness at the actual sequencing depth and trees sampled in A, B respectively. Thin lines represent the accumulation curve calculated by rarefaction (darker) and extrapolation (lighter); shaded regions represent the associated 95% confidence intervals. Dotted lines represent the asymptotic estimate for each site.
Figure 4 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Figure 4 NMDS ordination of fungal communities based on Bray-Curtis dissimilarity of species hypothesis-based community composition, grouped into woodland (W) and gallery forests (GF) samples, for All fungi, axis 1–2 (A) and axis 2–3 (B), and for ECM fungi, axis 1–2 (C) and axis 3–4 (D). Stress value = 0.1902 for all fungi and 0.1723 for ECM fungi. Ellipses represent 95% confidence intervals around the mean of each vegetation type.
Figure 5 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Figure 5 Fungal guild assignment of the soil fungal community in gallery forest and woodlands. Abundance measured as fraction of reads (A) and richness measured as fraction of species hypotheses (SH) (B) Guilds representing less than 2% of both abundance and richness are grouped together in "other".
Figure 2 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Figure 2 NMDS ordination of tree communities based on Bray-Curtis dissimilarities between sites, based on total basal areas of each ECM trees species separately and all non-ECM trees combined. The nine sites were classified into two distinct woodland types, woodlands in red and gallery forests in blue. Site abbreviations: Bissandougou Forest Reserve (BISS-W), Moussaya Forest Reserve (MOUS-W), Kota Waterfall (KOTA-G and KOTA-W), Kouadianikro Forest Reserve (KDNK-W), Kou Forest Reserve (KOUF-G), Niangoloko Forest Reserve (NIAN-W) and Farako Forest Reserve (FA01-W and FA15-W). ECM tree species abbreviations: Afzelia africana (Aa), Ac: Anthonotha crassifolia (Ac), Bg: Berlinia grandiflora (Bg), Id: Isoberlinia doka (Id), I. tomentosa (It), Monotes kerstingii (Mk), Uapacaguineensis (Ug) and Uapaca togoensis (Ut).
Figure 1 from: Meidl P, Furneaux B, Tchan KI, Kluting K, Ryberg M, Guissou M-L, Soro B, Traoré A, Konomou G, Yorou NS, Rosling A (2021) Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. MycoKeys 81: 45-68. https://doi.org/10.3897/mycokeys.81.66249
Figure 1 Sampling sites of the West African Centre for Tropical Mycology's 2018 National Geographic Explorer Grant expedition. Shapes and colors separate the different woodland types with blue circles for gallery forests and red triangles for woodlands. With site names (abbreviations): Bissandougou (BISS-W), Moussaya (MOUS-W), Kota (KOTA-G and KOTA-W), Kouadianikro (KDNK-W), Kou (KOUF-G), Niangoloko (NIAN-W) and Farako (FA01-W and FA15-W). The dotted line represents the route taken on the sampling trip, beginning on the coast of Benin and concluding in Ivory Coast. Ecoregions are from White (1983), digitized in Olson et al. (2001).
Data from: Space-use behavior of woodland caribou based on a cognitive movement model
1. Movement patterns offer a rich source of information on animal behaviour and the ecological significance of landscape attributes. This is especially useful for species occupying remote landscapes where direct behavioural observations are limited. In this study, we fit a mechanistic model of animal cognition and movement to GPS positional data of woodland caribou (Rangifer tarandus caribou; Gmelin 1788) collected over a wide range of ecological conditions. 2. The model explicitly tracks individual animal informational state over space and time, with resulting parameter estimates that have direct cognitive and ecological meaning. Three biotic landscape attributes were hypothesized to motivate caribou movement: forage abundance (dietary digestible biomass), wolf (Canis lupus; Linnaeus, 1758) density and moose (Alces alces; Linnaeus, 1758) habitat. Wolves are the main predator of caribou in this system and moose are their primary prey. 3. Resulting parameter estimates clearly indicated that forage abundance is an important driver of caribou movement patterns, with predator and moose avoidance often having a strong effect, but not for all individuals. From the cognitive perspective, our results support the notion that caribou rely on limited sensory inputs from their surroundings, as well as on long-term spatial memory, to make informed movement decisions. Our study demonstrates how sensory, memory and motion capacities may interact with ecological fitness covariates to influence movement decisions by free-ranging animals.
Figure 1 from: Horňák O, Mock A, Šarapatka B, Tuf IH (2020) Character of woodland fragments affects distribution of myriapod assemblages in agricultural landscape. In: Korsós Z, Dányi L (Eds) Proceedings of the 18th International Congress of Myriapodology, Budapest, Hungary. ZooKeys 930: 139-151. https://doi.org/10.3897/zookeys.930.48586
Figure 1 GAM plots evaluating effect of selected measured environmental factors to communities of centipedes and millipedes a relationship between size of wood fragments and number of centipedes' species trapped b relationship between thickness of leaf litter and number of centipedes trapped c relationship between species richness of trees in sites and number of centipedes trapped d relationship between thickness of leaf litter and number of millipedes trapped. Circles on diagram represent individual fragments of woodland.
FIGURE 1 in New Lepidocyrtus Bourlet, 1839 from riverine woodland in Hungary (Collembola, Entomobryidae)
FIGURE 1. Lepidocyrtus isabelleae sp. nov. 1, habitus.
Western Juniper Woodlands climate relations meta analysis
<p>These data are based on tree-ring data from the internation tree ring data base and PRISM climate data.</p>
Supplementary material 2 from: Standovár T, Horváth S, Aszalós R (2017) Temporal changes in vegetation of a virgin beech woodland remnant: stand-scale stability with intensive fine-scale dynamics governed by stand dynamic events. Nature Conservation 17: 35-56. https://doi.org/10.3897/natureconservation.17.12251
Map showing canopy trees in the study area. :
Supplementary material 1 from: Standovár T, Horváth S, Aszalós R (2017) Temporal changes in vegetation of a virgin beech woodland remnant: stand-scale stability with intensive fine-scale dynamics governed by stand dynamic events. Nature Conservation 17: 35-56. https://doi.org/10.3897/natureconservation.17.12251
Map showing the position of sampling plots in 1996 and 2013 :
Figure 1 from: Veranso-Libalah MC, Stone RD, Kadereit G (2017) Argyrella richardsiae, a new species of Melastomataceae from the wet miombo woodlands of south-central Africa. PhytoKeys 82: 113-121. https://doi.org/10.3897/phytokeys.82.12914
Figure 1 - Argyrella richardsiae, A habit B glandular trichomes C leaf D flower E stamens: inner stamen (left), outer stamen (right) F seed (drawn from Mrs H.M. Richards & S. Arasululu 26190 and Bidgood et al. 3935). Illustration by Doris Franke.
data_Ungulates_and_ecosystem_services: Ungulates mediate trade-offs between carbon storage and wildfire hazard in Mediterranean oak woodlands
<p>Data set for the accepted paper in the Journal of Applied Ecology</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.
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