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Ecological niche modeling
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Coastal dunes are characterised by plant species adapted to harsh conditions. Salinity and other factors (soil pH, nutrients, and climate events) vary along the landward gradient. The current study investigated the effects of environmental factors on the occurrence and composition of coastal dune plants. Ellenberg ecological indicator values (EIVs), species tolerance values (TVs), and species niche models for salinity, nutrient availability, and soil reaction were determined.
15p
lyhuyenthu
31-01-2023
9
3
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During faunal rescue activities for the construction of a wind farm in the Northeast Region of Brazil, a single specimen of the gymnophthalmid lizard Anotosaura vanzolinia was captured, which represents the first record of the species for the state of Piauí. We used this record, along with records found in the literature, to model the potential distribution of the species according to environmental suitability using the maximum entropy algorithm MaxEnt. The occurrence records of A.
7p
dolomite36
30-12-2021
9
0
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The Anatolian newt, Neurergus strauchii, is an endemic Anatolian species. Until recently, N. strauchii was represented by three subspecies. It has been discussed within a recent phylogenetic study in which the subspecies N. s. barani is recommended to be evaluated as a cryptic but distinct species. To address this subject, we aimed to discuss the niche differentiation between N. barani and N. strauchii using geographical and bioclimatic aspects. All georeferenced data of N. barani and N. strauchii were used to estimate the potential distributions of these species in the Anatolian Peninsula.
13p
dolomite36
30-12-2021
10
0
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Ecological niche models (ENMs) provide information to assess the effects of environmental and climatic conditions on species distribution. The purpose of this study was to predict the impact of climate change on a critically endangered species, Campanula yaltirikii H.Duman. It is a local endemic chasmophyte from Mt Çığlıkara (Antalya, Turkey), restricted to cracks in calcareous rocks and threatened by goat overgrazing. Current and future ENMs of C. yaltirikii were predicted with a maximum entropy (Maxent) algorithm.
10p
tudichquannguyet
29-11-2021
13
2
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Genome-wide studies on highland adaptation mechanism in terrestrial animal have been widely reported with few available for aquatic animals. Tibetan Schizothoracinae species are ideal model systems to study speciation and adaptation of fish. The Schizothoracine fish, Gymnocypris przewalskii ganzihonensis had underwent the ecological niche shift from salt water to freshwater, and also experienced a recent split from Gymnocypris przewalskii przewalskii. In addition, G. p.
9p
vilarryellison
29-10-2021
11
0
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The Quaternary had worldwide consequences in forming the contemporary diversity of many populations, species and communities, which is characterized by marked climatic oscillations between glacial and interglacial periods.
9p
vijeeni2711
30-06-2021
13
1
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Tumors comprise a variety of specialized cell phenotypes adapted to different ecological niches that massively influence the tumor growth and its response to treatment.
12p
vibaku2711
22-07-2020
12
2
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Ecological niche modelling or Predictive habitat distribution modelling framework for Sesamum mulayanum Nair, an important wild relative of oilseed crop Sesame has been analyzed using Maximum Entropy method. Based on the Ecological Niche model generated using the presence points only from Maharashtra state, potential states identified for the distribution wild sesame species (S. mulayanum) in India are Andhra Pradesh, Chhattisgarh, Karnataka, Kerala, Goa, Gujarat, Madhya Pradesh and Maharashtra.
11p
kethamoi2
15-12-2019
13
0
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This study aimed to compare the efficiency of logistic regression and maximum entropy models for distribution modelling of plant species habitats in the rangelands of western Taftan, southeastern Iran.
10p
caplock2711
21-02-2019
14
1
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The SFI market was born in discussions at the Santa Fe Institute in the late 1980’s and early 1990’s. It originated as a desire of Brian Arthur and John Holland to build a financial market with an ecology of trading strategies. Successful strategies would persist and replicate, and weak strategies would go away, creating potential niches for the entry of new strategies. The market was to be a continually coevolving soup of strategies. At the foundation of this was a desire to not preload much into the system, and to let evolution do most of the work.
6p
quaivattim
04-12-2012
51
2
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