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550 results for “mountain range”

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dryad36/100

Global warming pushes the distribution range of the two alpine 'glasshouse' Rheum species north- and upwards in the Eastern Himalayas (EH) and the Hengduan Mountains (HM)

Alpine plants' distribution is being pushed higher towards mountaintops due to global warming, finally diminishing their range and thereby increasing the risk of extinction. Plants with specialized 'glasshouse' structures have adapted well to harsh alpine environments, notably to the extremely low temperatures, which makes them vulnerable to global warming. However, their response to global warming is quite unexplored. Therefore, by compiling occurrences and several environmental strata, we utilized multiple ensemble species distribution modeling (eSDM) to estimate the historical, present-day, and future distribution of two alpine 'glasshouse' species Rheum nobile Hook. f. & Thomson and R. alexandrae Batalin. Rheum nobile was predicted to extend its distribution from the Eastern Himalaya (EH) to the Hengduan Mountains (HM), whereas R. alexandrae was restricted exclusively in the HM. Both species witnessed a northward expansion of suitable habitats followed by a southerly retreat in the HM region. Our findings reveal that both species have a considerable range shift under different climate change scenarios, mainly triggered by precipitation rather than temperature. The model predicted northward and upward migration for both species since the last glacial period which is mainly due to expected future climate change scenarios. Further, the observed niche overlap between the two species presented that they are more divergent depending on their habitat, except for certain regions in the HM. However, relocating appropriate habitats to the north and high elevation may not ensure the species' survival, as it needs to adapt to the extreme climatic circumstances in alpine habitats. Therefore, we advocate for more conservation efforts in these biodiversity hotspots.

opencc-zeroAug 2022View details →

zenodo36/100

Figure 4 in Distribution of rotifers of high mountain lakes in the Eastern Black Sea Range of Turkey

Figure 4. Taxa distributions of rotifers in the studied lakes.

opencc-by-4.0Jan 2017View details →

dryad36/100

Contrasting patterns of phylogenetic diversity and alpine specialization across the alpine flora of the American mountain range system

Although mountainous habitats contribute substantially to global biodiversity, comparatively little is known about biogeographic patterns of distributions of alpine species across multiple mountain ranges. Here, we present a detailed analysis of the distributions and phylogenetic affinities of alpine seed plant lineages across North, Central, and South American mountain systems. Using a comprehensive dataset that characterized the elevational niches of American seed plants in a continuously valued way, we were able to quantitatively investigate how the proportion of alpine habitat occupied by plants related to their biogeographic distributions at a regional scale and place these results in a phylogenetic context. We found alpine species diversity to be greatest in the central Andes and western North America, and that sites with lower phylogenetic diversity contained species with a greater degree of alpine specialization. In particular, near Arctic/ boreal alpine communities were characterized by low phylogenetic diversity and higher degrees of alpine specialization, whereas the opposite was observed for southern Patagonian communities. These results suggest that abiotic filtering alone in these climatically similar regions is unlikely to explain alpine community assembly. Nevertheless, the overall relative rarity of alpine specialists, and the tendency for such specialists to be most closely related to montane lineages, suggested that filtering was still an important factor in shaping alpine community structure. This work corroborates the importance of a nuanced and scale-dependent perspective on the 'history-filtering' debate axis, as both factors have likely contributed to modern biodiversity patterns observed in alpine plant communities across the Americas.

opencc-zeroJun 2021View details →

dryad36/100

Estimating migration of the cold-tolerant leaf beetle Gonioctena quinquepunctata inside a mountain range in a spatially explicit context

The cold-tolerant leaf beetle Gonioctena quinquepunctata displays a large but fragmented European distribution and is restricted to mountain regions in the southern part of its range. Using a RAD-seq-generated large SNP data set (> 10,000 loci), we investigated the geographic distribution of genetic variation within the Vosges mountains, where the species is common. To translate this pattern of variation in an estimate of its capacity to disperse, we simulated SNP data under a spatially explicit model of population evolution and compared the simulated and real data with an approximate Bayesian computation (ABC) approach. For this purpose, we propose a new SNP statistic summarizing genetic variation in a spatially explicit context. The estimated number of effective migrants inferred with this statistic was compared to that derived from a combination of standard population genetic statistics often used in population genetic analyses. We conducted this ABC analysis with a relatively low number of data points compared to traditional ABC analyses, because spatially explicit models require long simulation times. A test of our overall strategy was conducted with simulated data and showed that it could provide a good estimate of the level of dispersal of an organism over its continuous geographic range. We suggest that the lower number of explored data points were at least partially compensated by the much larger number of simulations per data point associated with a large SNP data set. The results of our analyses suggested that this insect disperses well within the Vosges mountains, much more than was initially expected given the current and probably past fragmentation of its habitat and given the results of previous studies on genetic variation in other mountain leaf beetles.

opencc-zeroJul 2021View details →

dryad36/100

Data for: Elevational changes in insect herbivory on woody plants in six mountain ranges of temperate Eurasia: Sources of variation

Current theory predicts that the intensity of biotic interactions, and particularly herbivory, decreases with increasing latitude and elevation. However, recent studies have revealed substantial variation in both the latitudinal and elevational patterns of herbivory. This variation is often attributed to differences in study design and type of data collected by different researchers. Here, we used a standardised sampling protocol along elevational gradients in six mountain ranges, located at different latitudes within temperate Eurasia, to uncover the sources of variation in elevational patterns in insect herbivory on woody plant leaves. We discovered the considerable variation in elevational patterns among different mountain ranges; nevertheless, herbivory generally decreased with increasing elevation at both the community-wide and individual plant species levels. This decrease was mostly due to openly living defoliators, whereas no significant association was detected between herbivory and elevation among insects living within plant tissues (i.e. miners and gallers). The elevational decrease in herbivory was significant for deciduous plants but not for evergreen plants, and for low-stature plants but not for tall plants. The community-wide herbivory increased with increases in both specific leaf area and leaf size. The strength of the negative correlation between herbivory and elevation increased from lower to higher latitudes. We conclude that elevational gradients in herbivory demonstrate considerable variation, and that this variation is mostly associated with herbivore feeding habit, some plant traits and latitude of the mountain range.

opencc-zeroNov 2022View details →

dryad36/100

Giant panda distribution ranges in the Liangshan Mountains

Comprehending the population trend and understanding the distribution range dynamics of species is necessary for global species protection. Recognizing what causes dynamic distribution change is crucial for identifying species' environmental preferences and formulating protection policies. Here, we studied the rear-edge population of the flagship species, giant pandas (Ailuropoda melanoleuca), to 1) assess their population trend using their distribution patterns, 2) evaluate their distribution dynamics change from the 2nd (1988) to the 3rd (2001) surveys (2–3 Interval) and 3rd to the 4th (2013) survey (3–4 Interval) using a machine learning algorithm (The Extremely Gradient Boosting), and 3) decode model results to identify driver factors in the first known use of SHapley Additive exPlanations. Our results showed that the population trends in Liangshan Mountains were worst in the 2nd survey (k = 1.050), improved by the 3rd survey (k = 0.97), but got worse by the 4th survey (k = 0.996), which indicates a worrying population future. We found that precipitation had the most significant influence on distribution dynamics among several potential environmental factors, showing a negative correlation between precipitation and giant panda expansion. We recommend that more study is required to understand the micro-environment and animal distribution dynamics. We provide a fresh perspective on the dynamics of Giant Panda distribution, highlighting novel focal points for ecological research on this species. Our study offers theoretical underpinnings that could inform the formulation of more effective conservation policies. Also, we emphasize the uniqueness and importance of the Liangshan Mountains giant pandas as the rear-edge population, which is at a high risk of population extinction.

opencc-zeroMay 2023View details →

dryad36/100