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180 results for “range shift”
Figure 2 from: Pérez-Luque AJ, Zamora R, Bonet FJ, Pérez-Pérez R (2015) Dataset of MIGRAME Project (Global Change, Altitudinal Range Shift and Colonization of Degraded Habitats in Mediterranean Mountains). PhytoKeys 56: 61-81. https://doi.org/10.3897/phytokeys.56.5482
Figure 2 - Distribution of Quercus pyrenaica forests in Iberian Peninsula (a). Sierra Nevada harbours eight populations of Quercus pyrenaica clustered into three groups (different colours). We selected two study sites: Robledal de Cañar (c) and Robledal San Juan (d). Colour Orthophotography of 2009 from Regional Ministry of the Environment, Regional Government of Andalusia.
Figure 1 from: Pérez-Luque AJ, Zamora R, Bonet FJ, Pérez-Pérez R (2015) Dataset of MIGRAME Project (Global Change, Altitudinal Range Shift and Colonization of Degraded Habitats in Mediterranean Mountains). PhytoKeys 56: 61-81. https://doi.org/10.3897/phytokeys.56.5482
Figure 1 - Schematic representation of the two main hypothesis of the project: altitudinal migration (a) and colonization of marginal areas (b) of Quercus pyrenaica forests.
Data for: Modeling climate-driven range shifts in populations of two bird species limited by habitat independent of climate
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Data from: Contemporary climate-driven range shifts: putting evolution back on the table
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Elevation alters outcome of competition between resident and range-shifting species
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Data from: Towards an interactive, process‐based approach to understanding range shifts: developmental and environmental dependencies matter
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Data from: The impact of shifts in marine biodiversity hotspots on patterns of range evolution: evidence from the Holocentridae (squirrelfishes and soldierfishes)
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Data from: Fitness declines toward range limits and local adaptation to climate affect dispersal evolution during climate-induced range shifts
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Data from: Range shifting species reduce phylogenetic diversity in high latitude communities via competition
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Data from: Linking species thermal tolerance to elevational range shifts in upland dung beetles
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Data from: Predicting range-shift success potential for tropical marine fishes using external morphology
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Data and code for: Consistent population decline but idiosyncratic range shifts in Alpine orchids under global change
<p>Mountains are plant biodiversity hotspots considered particularly vulnerable to multiple environmental changes. Here, we quantify population changes and range-shift dynamics along elevational gradients over the last three decades for c. two-thirds of the orchid species of the European Alps. Local extinctions were more likely for small populations, after habitat alteration, and predominated at the rear edge of species’ ranges. Except for the most thermophilic species and wetland specialists, population density decreased over time. Declines were more pronounced for rear-edge populations possibly due to multiple pressures such as climate warming, habitat alteration, and mismatched ecological interactions. Besides these demographic trends, different species exhibited idiosyncratic range shifts with more than 50% of the species lagging behind climate warming. Our study highlights the importance of long-term monitoring of populations and range distributions at fine spatial resolution to be able to fully understand the consequences of global change for orchids</p>
Data from: Upward elevation and northwest range shifts for alpine Meconopsis species in the Himalaya-Hengduan Mountains region
Climate change may impact the distribution of species by shifting their ranges to higher elevations or higher latitudes. The impacts on alpine plant species may be particularly profound due to a potential lack of availability of future suitable habitat. To identify how alpine species have responded to climate change during the past century as well as to predict how they may react to possible global climate change scenarios in the future, we investigate the climatic responses of seven species of Meconopsis, a representative genus endemic in the alpine meadow and subnival region of the Himalaya–Hengduan Mountains. We analyzed past elevational shifts, as well as projected shifts in longitude, latitude, elevation, and range size using historical specimen records and species distribution modeling under optimistic (RCP 4.5) and pessimistic (RCP 8.5) scenarios across three general circulation models for 2070. Our results indicate that across all seven species, there has been an upward shift in mean elevation of 302.3 m between the pre‐1970s (1922–1969) and the post‐1970s (1970–2016). The model predictions suggest that the future suitable climate space will continue to shift upwards in elevation (as well as northwards and westwards) by 2070. While for most of the analyzed species, the area of suitable climate space is predicted to expand under the optimistic emission scenario, the area contracts, or, at best, shows little change under the pessimistic scenario. Species such as M. punicea, which already occupy high latitudes, are consistently predicted to experience a contraction of suitable climate space across all the models by 2070 and may consequently deserve particular attention by conservation strategies. Collectively, our results suggest that the alpine high‐latitude species analyzed here have already been significantly impacted by climate change and that these trends may continue over the coming decades.
Data from: Evaluating distributional shifts in home range estimates
A variety of methods are commonly used to quantify animal home ranges using location data acquired with telemetry. High-volume location data from global positioning system (GPS) technology provide researchers the opportunity to identify various intensities of use within home ranges, typically quantified through utilization distributions (UDs). However, the wide range of variability evident within UDs constructed with modern home range estimators is often overlooked or ignored during home range comparisons, and challenges may arise when summarizing distributional shifts among multiple UDs. We describe an approach to gain additional insight into home range changes by comparing UDs across isopleths and summarizing comparisons into meaningful results. To demonstrate the efficacy of this approach, we used GPS location data from 16 bighorn sheep (Ovis canadensis) to identify distributional changes before and after habitat alterations, and we discuss advantages in its application when comparing home range size, overlap, and joint-space use. We found a consistent increase in bighorn sheep home range size when measured across home range levels, but that home range overlap and similarity values decreased when examined at increasing core levels. Our results highlight the benefit of conducting multiscale assessments when comparing distributions, and we encourage researchers to expand comparative home range analyses to gain a more comprehensive evaluation of distributional changes and to evaluate comparisons across home range levels.
Data from: Upward elevation and northwest range shifts for alpine Meconopsis species in the Himalaya-Hengduan Mountains region
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Data from: Evaluating distributional shifts in home range estimates
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Data from: Range and niche shifts in response to past climate change in the desert horned lizard (Phrynosoma platyrhinos)
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Fig. 2 in Interglacial refugia and range shifts of the alpine grasshopper Stenobothrus cotticus (Orthoptera: Acrididae: Gomphocerinae)
Fig. 2 Tree from neighbour-joining analysis of selected European Stenobothrus species based on Kimura-2-parameter distances among 1,000 bp sequences of the mitochondrial gene cytochrome oxidase, subunit 1 (co1). Chorthippus parallelus used as outgroup. Bootstrap support values ≥ 50% among 1,000 bootstrap replicates given above branches
Fig. 1 in Interglacial refugia and range shifts of the alpine grasshopper Stenobothrus cotticus (Orthoptera: Acrididae: Gomphocerinae)
Fig. 1 Courtship songs of Stenobothrus cotticus from Col d'Izoard in France (a–c) and from the Rila Mts. in Bulgaria (d). a Overview of a whole courtship sequence. b Section of 4 s duration. c Single syllable
Fig. 2 Neighbour-joining phenogram calculated with the program PHYLIP ver. 3.5.c in Species radiation in the Alps: multiple range shifts caused diversification in Ringlet butterflies in the European high mountains
Fig. 2 Neighbour-joining phenogram calculated with the program PHYLIP ver. 3.5.c. (Felsenstein 1993), based on Nei's (1972) genetic distances for all samples analysed. The tree topology assigned the samples into the following six main clusters (from left to right): Erebia tyndarus (Central Alps), Erebia c. neleus (Balkans and Retezat), Erebia ottomana (Balkans), Erebia c. cassioides (eastern Alps with Apennines), Erebia c. arvernensis (western Alps, Pyrenees, Massif Central and Passo Maghen located in the south-eastern Alps) and Erebia nivalis (eastern Alps). Bootstrap values calculated with 1000 permutations are given for values exceeding 50 % probability
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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