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257 results for “forest landscapes”
Data from: Context matters: the landscape matrix determines the population genetic structure of temperate forest herbs across Europe
<p>Context. Plant populations in agricultural landscapes are mostly fragmented and their functional connectivity often depends on seed and pollen dispersal by animals. However, little is known about how the interactions of seed and pollen dispersers with the agricultural matrix translate into gene flow among plant populations.</p> <p>Objectives. We aimed to identify effects of the landscape structure on the genetic diversity within, and the genetic differentiation among, spatially isolated populations of three temperate forest herbs. We asked, whether different arable crops have different effects, and whether the orientation of linear landscape elements relative to the gene dispersal direction matters.</p> <p>Methods. We analysed the species' population genetic structures in seven agricultural landscapes across temperate Europe using microsatellite markers. These were modelled as a function of landscape composition and configuration, which we quantified in buffer zones around, and in rectangular landscape strips between, plant populations.</p> <p>Results. Landscape effects were diverse and often contrasting between species, reflecting their association with different pollen- or seed dispersal vectors. Differentiating crop types rather than lumping them together yielded higher proportions of explained variation. Some linear landscape elements had both a channelling and hampering effect on gene flow, depending on their orientation.</p> <p>Conclusions. Landscape structure is a more important determinant of the species' population genetic structure than habitat loss and fragmentation <i>per se</i>. Landscape planning with the aim to enhance the functional connectivity among spatially isolated plant populations should consider that even species of the same ecological guild might show distinct responses to the landscape structure.</p>
Data collection for article "Quantifying Local Ecosystem Service Outcomes by Modelling Their Supply, Demand and Flow in Myanmar's Forest Frontier Landscape"
<p>This dataset contains the nine ecosystem service models (in .neta format) underlying the publication "Quantifying Local Ecosystem Service Outcomes by Modelling Their Supply, Demand and Flow in Myanmar’s Forest Frontier Landscape". The ecosystem models were implemented using the commercial software Netica (version 6.05) for constructing and analysing Bayesian Networks.</p>
Data collection for article "Local Perspectives on Ecosystem Service Trade-Offs in a Forest Frontier Landscape in Myanmar"
<p>This dataset contains 46 transcripts from semi-structured interviews and focus group discussions. An overview of the interviews is additionally provided, as well as information on the encoding. These data underlie the publication "Local Perspectives on Ecosystem Service Trade-Offs in a Forest Frontier Landscape in Myanmar".</p>
Fig. 1 in Landscape-B Asin Approach To The Study Of Floristic Diversity (Heterogeneous Catchments Of Steppe And Forest-Steppe Zones Of Altai Krai, Russia, As A Case Study)
Fig. 1. Landscape and floristic regionalization of neighboring the Kasmalinsky basin and the Barnaulka river basin.
Data from: Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes
<p>The published dataset contains the result of the paper titled <strong>Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes, in Journal of Environmental Management.</strong></p> <p>Two zip files contain maps in ascii format for the total bark beetle and wind damage over 54 simulation year in our study region in Slovakia under reference climate and different climate change scenarios. No- salvaging and 95% salvaging scenarios are shown, just as in the paper.</p> <p>Excel file contains data of the other figures in the paper (main text and appendices as well).</p> <p>See more details about target area, and iLand model:</p> <p>https://www.sciencedirect.com/science/article/pii/S0168192318302946</p> <p>http://iland.boku.ac.at/startpage</p> <p>contact: Laura Dobor; dobor.laura@gmail.com</p> <p> </p>
Fig. 2 in Dung beetle (Coleoptera, Scarabaeidae) assemblage of a highly fragmented landscape of Atlantic forest: from small to the largest fragments of northeastern Brazilian region
Fig. 2. Non-Metric Multidimensional Scaling (NMDS) ordination of fragments of Trapiche, CIMNC and Coimbra, based on dung beetle species composition.
Figure 1 in Microhabitats and fragmentation effects on a ground beetle community (Coleoptera: Carabidae) in a mountainous beech forest landscape
Figure 1. Jamiško Osoe study area with 3 localities (A, B, and C) and transects T1–T7 (gray color represents beech forests, black – potato fields, and white – mountain pastures and forest clearings).
Figure 2 in Microhabitats and fragmentation effects on a ground beetle community (Coleoptera: Carabidae) in a mountainous beech forest landscape
Figure 2. Variation of the average beetle abundance (ind. trap–1) between a) microhabitats, b) months, and c) fragments.
Fig. 5 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil
Fig. 5. Diagram of ordering of species of small mammals and environmental variables in the 24 small forest fragments in southeastern Brazil, produced by canonical correspondence analysis. The Acronyms represent "uc" to understory closure, "co" to canopy openness, "ep" to epiphytism, "lia" to lianas, "ft" to cattle, "cs" to creeks and streams, "we" to wetlands, "se" to soil exposure, "ro" to rocky outcrop, "lit" to litter, "ab" to arthropod biomass, "vr" to vegetal richness, "va" to vegetal abudance, and "ath" to average tree height.
Fig. 1 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil
Fig. 1. Location of the forest communities studied in 24 forest fragments located in southeastern Brazil. A description of individual forest fragments can be found in Supplementary Material Tab. A1.
Fig. 4 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil
Fig. 4. Beta (β) diversity values for small mammals related to nesting (βsne), turnover (βsim) and general dissimilarity (βsor) in the 24 small forest fragments located in southeastern Brazil. The figures on the right represent the final percentage for each index.
Fig. 2 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil
Fig. 2. Species accumulation curves to 24 fragments together for small mammals located in southeastern Brazil.
Data for: Widespread forest-savanna coexistence but limited bistability at a landscape scale in Central Africa
<p>This directory contains the data used in the article **Zwaan et al. (2024) Widespread forest-savanna coexistence but limited bistability at a landscape scale in Central Africa** (DOI: <span><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1088%2F1748-9326%2Fad8cef&data=05%7C02%7Ca.zwaan%40uu.nl%7C66d868876ad44e69715608dcf9c1c197%7Cd72758a0a4464e0fa0aa4bf95a4a10e7%7C0%7C0%7C638659857776731023%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=3Bk8nBksr5ZBWJF4nfBvx3yp1tbyZiy%2FLlnfwDCZwfE%3D&reserved=0">https://doi.org/10.1088/1748-9326/ad8cef</a></span>).</p> <p>This repository provides the datasets used for the figures and statistics in our research article. We hope that this data can be useful for other researchers. Feel free to explore and analyze the data as needed. If you use this data in your own research, please cite our article.</p> <p><br>**Contact**: For any questions or further information, please contact:<br>* Aart Zwaan<br>* Email: a.zwaan@uu.nl</p>
Data associated with paper titled "Declining trends in canopy disturbance across reserve forest landscapes of the northeastern US"
<p>Data associated with work presented in an article submitted to Forest Ecology and Management entitled "Declining trends in canopy disturbance across reserve forest landscapes of the northeastern US". </p> <p>.tif files are forest disturbance maps created with the LandTrendr change detection algorithm and processes to show all disturbance events at an annual scale. Processing code available here: https://github.com/cafri-labs/lt_resources/blob/main/scripts/create_loss_layer.R </p> <p>.gpkg file is the boundaries of NYS land used in the study with dates of property acquisition</p> <p>Code used for the analysis of this data can be found here: https://github.com/cafri-labs/trends_canopy_disturbance</p>
Linked collectors and determiners for: Lichen collection, Norwegian Forest and Landscape Institute.
Natural history specimen data linked to collectors and determiners held within, "Lichen collection, Norwegian Forest and Landscape Institute". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d1c13016-51c4-4819-8e4d-56b2082baab4">https://bionomia.net/dataset/d1c13016-51c4-4819-8e4d-56b2082baab4</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d1c13016-51c4-4819-8e4d-56b2082baab4">https://gbif.org/dataset/d1c13016-51c4-4819-8e4d-56b2082baab4</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Mycology collection, Norwegian Forest and Landscape Institute.
Natural history specimen data linked to collectors and determiners held within, "Mycology collection, Norwegian Forest and Landscape Institute". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b80a8d39-2e0e-4ae4-91e4-03ee6dc9d1bc">https://bionomia.net/dataset/b80a8d39-2e0e-4ae4-91e4-03ee6dc9d1bc</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b80a8d39-2e0e-4ae4-91e4-03ee6dc9d1bc">https://gbif.org/dataset/b80a8d39-2e0e-4ae4-91e4-03ee6dc9d1bc</a>. Formatted as a Frictionless Data package.
Figure 1 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 1. ContinentalFrancewiththedepartmentMayennehighlighted (A) andhabitatmodelforthe Fire salamander indepartment Mayenne (B). Themap representsthe habitat suitability model Ps = (1/ (1 + exp(−0.0303*percent_forest_cover-0.00562*altitude-0.0299*percent_hedgerow_cover + 1.769))) and was visualized with ILWIS 3.6 software58, available at https://52north.org/software/software-projects/ilwis/. Habitat suitability increases from deep blue with a probability of occurrence of zero to deep red with a probability of occurrence at unity (see colour bar). Prime fire salamander habitats are found at higher altitudes and are forested (in black) or with a dense hedgerow cover. Populations genetically investigated are located in and around the largely deciduous forests Forêt de Bourgon (FB) and Bois de Hermet (BH) and listed in Table 1.The outer geographicalcoordinates of the department are 1.239–0.049W and 47.733–48.568N.
Figure 3 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 3. (A) Clustering of pairwise Fst-values of Kottenforstfire salamanderpopulations (localities K01-K47) with the UPGMA-method. Numbers K01-K27 represent populations in the western section of the forest and K28-K47 represent populationsin the eastern section of the forest. The basal cluster at Fst <0.04 is composed of two groups (shaded) composed of mostly eastern (14/16 = 88%) or mostlywestern localities (14/15 = 93%). Populations breeding in streams are shown by the letter S. Note that populations that join the dendrogram at higher Fst-values are characterized by mostlysmall effectivepopulation sizes (Ňe ≤ 10, indicated by small open dots; X – Ňe not determined). B top panel - Populationsplotted along the firstand second axis of a principal component analysis. Middle panel - Ellipses represent means ± standarddeviation for sevenstream populations (left ellipse) and 40 non-streampopulations (right ellipse). Lower panel - Ellipsesrepresent means ± standard deviation forthe western (left) and eastern (right) sectionof the Kottenforst, forsmall populations (Ňe ≤ 10) shown by interruptedlines andfor larger populations (Ňe> 10) shown by uninterrupted lines. Notethat for the larger populations the ellipses for western and eastern localities do not overlap.
Figure 4. MicrosatellitepopulationgeneticdataforthefiresalamanderintheKottenforst, Germany21,24 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 4. MicrosatellitepopulationgeneticdataforthefiresalamanderintheKottenforst, Germany21,24 analyzed in the framework of allopatric speciation, i.e. a secondary spatial contact of a western pond-breeding lineage and an eastern stream-breeding lineage. The 95% credible cline regions are shown by grey shading. Solid and open round symbolsrepresent larger (Ňe> 10) andsmall populations (Ňe ≤ 10), respectively. Note that the stream-breeding populations that gave the composite genotype its name are all located in the eastern section of the Kottenforst (six data points indicated with a forward slash (/). One 'intermittent stream' in the western section is indicated by a backward slash. Also note the paucity of data at and around the steepest part of the clines. A – loadings on the first PC axis versus geographical distance. The clinecentre is at km 365.3 of the Universal Transverse Mercator (UTM) grid. Cline width is 3952 m. B – frequency of the stream-breeding genotype versus distance (after21). Thecline centre is at UTM km 365.1 and the cline widthis 1108 m. For model details see Supplementary Information VI.
Figure 2 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 2. (A) Clustering of pairwise Fst-values of firesalamander populations (Mayenne localities 1–41) with the UPGMA-method. The basal cluster at Fst <0.010 is mostly composed of forest populations (F, 17/21 = 81%) whereas populationsthat jointhe dendrogramat higher Fst-values are mostly fromthe bocage (B, 14/20 = 70%). At Fst> 0.025 the contribution of the bocage populations is eightout of eight. Notethat populations thatjoin the dendrogram at the highest Fst-values are characterizedby mostly small effective population sizes (Ňe ≤ 10, indicated by small open dots). (B) Populations plotted along the first and second axis of a principal component analysis. The 23 forest populations are shown by small solid round symbols and the solid ellipse represents the mean ± standard deviation. Eighteenpopulations from the bocageare shown by large open round symbols, with the mean ± standard deviation shown bythe widerellipse with the interrupted line.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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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.