scholarly journals Spatial analysis and distribution modeling of Aconitum moldavicum in Ukrainian Carpathians and adjacent territories with special reference to the algorithm used

2020 ◽  
Vol 85-86 ◽  
Author(s):  
A. Novikov ◽  
J. Mitka
Keyword(s):  
Spatial Analysis ◽  
Species Distribution ◽  
Exact Distribution ◽  
Comprehensive Analysis ◽  
Mountain Range ◽  
Species Occurrence ◽  
Distribution Modeling ◽  
Real Distribution ◽  
Carpathian Mountain ◽  
Occurrence Of Species

The paper aimed to conduct a comprehensive analysis of all available sources (including herbarium vouchers, publications, and datasets) on exact distribution of Aconitum moldavicum in the Ukrainian Carpathians to build the maps modeling the species distribution in this region and adjacent territories. Aconitum moldavicum is a Pancarpathian subendemic distributed widely along Carpathian Mountain range and scattered out to some of adjacent lowland territories. Surprisingly, A. moldavicum was found to be quite rare for Transcarpathian Lowland, where it is represented only by A. moldavicum subsp. hosteanum. Just near the border with Slovakia, A. moldavicum subsp. moldavicum occurs in Vygorlat Mts., while along with all other parts of Vygorlat-Gutyn Carpathians it does not appear. However both taxa, A. moldavicum subsp. moldavicum and A. moldavicum subsp. hosteanum, are quite frequently appear in Ciscarpathia and Volhynia-Podilia Highland together with their hybrid A. moldavicum nothosubsp. confusum. Aconitum moldavicum nothosubsp. porcii and nothosubsp. simonkaianum occur exclusively in Marmarosh region of the Ukrainian Carpathians, and probably A. moldavicum nothosubsp. porcii can be also re-find in Chornohora. Presence of A. moldavicum nothosubsp. simonkaianum in Volhynia-Podilia Highland seems to be doubtful, because there are no any other evidences despite the only voucher hosted at GJO herbarium. Moreover, other vouchers collected by B. Błocki from the same region were identified as belonging to A. moldavicum nothosubsp. hosteanum. We used different algorithms of SDM (MaXent, BioClim, GARP, EnvDist, TIN and IDW) to check the most sufficient and most closely representing a real distribution of A. moldavicum in the area studied. BioClim properly pointed to the geographic centers of the species in the Carpathians, Volhynia-Podilia Highland, and in Polish Uplands. Traditionally applied algorithm MaxEnt underestimates the probability of occurrence of species in the area of confirmed presence and, at the same time, overestimates it in the area beyond the known extent of species occurrence. IDW algorithm showed similar results with MaxEnt and confirmed its potential suitability for SDM purposes.

Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models

2010 ◽  
Vol 34 (1) ◽  
pp. 3-22 ◽  
Author(s):  
Tim Newbold
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
The Internet ◽  
Limited Information ◽  
Species Occurrence ◽  
Distribution Models ◽  
Museum Data ◽  
Private Collections ◽  
Source Of Information ◽  
Occurrence Of Species

To conserve biodiversity, it is necessary to understand how species are distributed and which aspects of the environment determine distributions. In large parts of the world and for the majority of species, data describing distributions are very scarce. Museums, private collections and the historical literature offer a vast source of information on distributions. Records of the occurrence of species from these sources are increasingly being captured in electronic databases and made available over the internet. These records may be very valuable in conservation efforts. However, there are a number of limitations with museum data. These limitations are dealt with in the first part of this review. Even if the limitations of museum data can be overcome, these data present a far-from-complete picture of the distributions of species. Species distribution models offer a means to extrapolate limited information in order to estimate the distributions of species over large areas. The second part of this paper reviews the challenges of developing species distribution models for use with museum data and describes some of the questions that species distribution models have been used to address. Given the rapidly increasing number of museum records of species occurrence available over the internet, a review of their usefulness in conservation and ecology is timely.

scholarly journals Distribution modeling applied to deficient data species assessment: A case study with Pithecopus nordestinus (Anura, Phyllomedusidae)

2020 ◽  
Vol 15 (2) ◽  
pp. 165-175
Author(s):  
Felipe Pessoa Da Silva ◽  
Hugo Fernandes-Ferreira ◽  
Martín Alejandro Montes ◽  
Lucas Gonçalves da Silva
Keyword(s):  
Species Distribution ◽  
Environmental Variables ◽  
Species Distribution Modeling ◽  
Distribution Area ◽  
Potential Range ◽  
Species Occurrence ◽  
Extent Of Occurrence ◽  
Habitat Area ◽  
Distribution Modeling ◽  
Occurrence Records

The arboreal frog Pithecopus nordestinus is geographically present in almost all Brazilian Northeast territory and Minas Gerais State. It is currently classified as deficient data (DD) by IUCN Red List of Endangered Species, requiring further knowledge about its geographic distribution and population status. In this context, the species distribution modeling can be applied, since its basis uses species occurrence records and environmental variables related to bioclimatic and landscape features. This kind of method predicts the species suitability of certain organism in the geographic space. We obtained 159 P. nordestinus occurrence records, covering all the previously known distribution of the species. These records were collected from direct field sampling, scientific literature, museum collections, and available online databases. We used four species distribution modeling algorithms to obtain the potential range (extent of occurrence) and available habitat for this frog through habitat area analysis proposed by IUCN. The generated models can be considered as excellent, with mean AUC value of 0.981. The environmental variables related to temperature and radiation were the most important to the construction of this distribution model. Our results indicate that the forested areas of the Atlantic Forest domain and forest patches inside the Caatinga biome present the highest suitability values for the species occurrence and the major part of available habitats, a fact possibly related to the known arboreal habit of this amphibian. We thus provide a new distribution area for P. nordestinus more broadly than previously known and a new polygon for conservation purposes based on extent of occurrence, and an increase of occupancy based on habitat area analysis. The identification of additional areas where the P. nordestinus occurrence was not yet well known, new habitats for possible dispersal or recolonization; and the selection of conservation hotspots applied to this species are direct applications from our study. In addition, the methodological procedures used here may serve as a baseline tool for new investigations with focus on still deficient data species and its ecological and conservation planning requirements.

Using species distribution modeling to improve conservation of medicinal plants in Southwest China

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
B Liu ◽  
F Li ◽  
Z Guo ◽  
L Hong ◽  
W Huang ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Species Distribution ◽  
Southwest China ◽  
Species Distribution Modeling ◽  
Distribution Modeling

Species distribution modeling reveals the ecological niche of extinct megafauna from South America

2021 ◽  
pp. 1-8
Author(s):  
Thaísa Araújo ◽  
Helena Machado ◽  
Dimila Mothé ◽  
Leonardo dos Santos Avilla
Keyword(s):  
South America ◽  
Species Distribution ◽  
Environmental Changes ◽  
Species Distribution Modeling ◽  
Human Action ◽  
Northeastern Brazil ◽  
Climate Conditions ◽  
Middle Holocene ◽  
Distribution Modeling ◽  
The Impact

Abstract Climatic and environmental changes, as well as human action, have been cited as potential causes for the extinction of megafauna in South America at the end of the Pleistocene. Among megamammals lineages with Holarctic origin, only horses and proboscideans went extinct in South America during this period. This study aims to understand how the spatial extent of habitats suitable for Equus neogeus and Notiomastodon platensis changed between the last glacial maximum (LGM) and the middle Holocene in order to determine the impact that climatic and environmental changes had on these taxa. We used species distribution modeling to estimate their potential extent on the continent and found that both species occupied arid and semiarid open lands during the LGM, mainly in the Pampean region of Argentina, southern and northeastern Brazil, and parts of the Andes. However, when climate conditions changed from dry and cold during the LGM to humid and warm during the middle Holocene, the areas suitable for these taxa were reduced dramatically. These results support the hypothesis that climatic changes were a driving cause of extinction of these megamammals in South America, although we cannot rule out the impact of human actions or other potential causes for their extinction.

Using Open-Source Data in Correlative Species Distribution Modeling of Marine Species

2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang
Keyword(s):  
Open Source ◽  
Species Distribution ◽  
Open Source Software ◽  
Species Distribution Modeling ◽  
Science Research ◽  
Marine Species ◽  
Distribution Modeling ◽  
Open Source Data ◽  
Rapid Changes ◽  
Source Data

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.

The Carpathian Mountain range and the enclosed interior

2009 ◽  
Vol 1 (3) ◽  
Author(s):  
Gabor Földvary
Keyword(s):  
Plate Tectonics ◽  
Ore Deposits ◽  
Carpathian Basin ◽  
Mountain Range ◽  
Great Hungarian Plain ◽  
The Carpathians ◽  
Carpathian Mountain ◽  
Micro Plates ◽  
Basin System ◽  
Hungarian Plain

AbstractThe baffling duality of the Carpathian Mountain Range and the Basin it surrounds is briefly discussed. The various attempts at solving the nature of this duality, including plate tectonics with its micro-plates are mentioned. The component ranges of the Carpathians and the structural belts are given, followed by the discussion of the Carpathian Basin System, the Interior, consisting of the Great Hungarian Plain, Transdanubia, the two groups of Central Mountains, also the Apuseni (Bihar) Mountains and the Banat Contact Belt. Economic ore deposits are featured in the relevant sections.

scholarly journals Combining connectivity and species distribution modeling to define conservation and restoration priorities for multiple species: A case study in the eastern Amazon

2021 ◽  
Vol 257 ◽  
pp. 109148
Author(s):  
Leonardo de Sousa Miranda ◽  
Marcelo Awade ◽  
Rodolfo Jaffé ◽  
Wilian França Costa ◽  
Leonardo Carreira Trevelin ◽  
...  
Keyword(s):  
Species Distribution ◽  
Species Distribution Modeling ◽  
Distribution Modeling ◽  
Multiple Species
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