scholarly journals Moss occurrences in Salair-Kuznetsk Region (Altai-Sayan mountain country)

2021 ◽  
Vol 9 ◽  
Author(s):  
Olga Pisarenko
Keyword(s):  
Species Distribution ◽  
Higher Plants ◽  
Moss Species ◽  
South Siberia ◽  
Geomorphological Units ◽  
Herbarium Collection ◽  
Distribution And Ecology ◽  
Sayan Mountain ◽  
Mountain Country ◽  
Occurrence Records

In the flora of large regions, mosses comprise about a quarter of the total diversity of higher plants. However, now mosses are the least studied group of higher plants. Data on moss species distribution are fragmentary, especially in Russia with its vast expanse and low density of botanists. The author for many years has been studying the bryoflora of various areas of the Salair-Kuznetsk Region. In addition to the herbarium collection, the author's bryological relevés were organised as a Database. It stores all the assembled information for the years about the locations of the species, including when the specimens were not placed in the herbarium. The article describes three datasets that were arranged from the author's databases for three geomorphological units in the northwest of Altai-Sayan mountain country (South Siberia). Together, these three units are combined into the Salair-Kuznetsk Region. The datasets are: 1. Moss occurrences in the Kuznetsk upland. The dataset consists of 3940 occurrence records and includes both preserved specimens (1135) and ‘human observations’ of the author (2805). The material was collected mainly from 1992-2011; some samples collected by A. N. Vasiliev in 1970-1971 (165) were also taken into account. A total of 312 moss taxa belonging to 135 genera and 41 families are reported for the region. 2. Moss occurrences in Salair Ridge. The dataset consists of 2442 occurrence records and includes both preserved specimens (553) and ‘human observations’ of the author (1889). The material was collected mainly from 1992-1996; a total of 231 moss taxa belonging to 119 genera and 35 families are reported for the region. 3. Moss occurrences in Kuznetsk Depression. The dataset consists of 1690 occurrence records and includes both preserved specimens (281) and ‘human observations’ of the author (1409). The material was collected mainly from 2007-2014; a total of 155 moss taxa belonging to 85 genera and 30 families are reported for the region. All the records are geo-linked. The uncertainty of coordinates in metres varies from 500.0-10000.0 m for the earliest records that are geo-linked by topo-map, to 10.0-100.0 m for records after 2003 that are geo-linked by GPS. The article summarises the results of the author's long-term bryological investigations in the Salair-Kuznetsk Region (northwest of Altai-Sayan mountain country, South Siberia). In total, 8072 occurrence records for 366 moss species from 148 genera and 41 families are published for the territory. The datasets contribute to filling gaps in the moss species distribution and ecology.

scholarly journals Taxonomic structure of local floras in Sidinskiy and Pribaitakskiy steppes (Krasnoyarsk region)

2019 ◽  
Vol 16 ◽  
pp. 00002
Author(s):  
Ekaterina Antipova ◽  
Olga Enulenko
Keyword(s):  
Species Richness ◽  
Species Composition ◽  
Taxonomic Structure ◽  
Central European ◽  
Krasnoyarsk Region ◽  
Full Species ◽  
Central Asian ◽  
Different Types ◽  
Sayan Mountain ◽  
Mountain Country

Sidinskiy and Pribaitakskiy steppes are the part of the Minusinsk province of the Altai-Sayan mountain country. On the territory of steppes 12 local floras (LF) were marked and examined using the same method. Studies were carried out according to the recommendations of A.I. Tolmachev (1931): identification of different types of ecotypes of LF, the full species composition of ecotypes (flora inventory), tracking the completeness of detection in LF. In the Sidinskiy steppe the number of families in the LF varies from 25 (Syida) to 43 (v. Alha), in the Pribaitakskiy steppe there is a big difference in the number of families in the LF from 31 (Krasnoyarsk reservoir, Tuba) to 65 (Mayak, Idra). The leading families in the local steppe flora are Asteraceae, Poaceae, Fabaceae. The Fabaceae family ranks third in the top of ten families in 50 % of LF, determining the type of flora as the Mediterranean-Central Asian (Fabaceae-type). Different types of LF allow to determine the type of all steppe flora as mixed, combining features of boreal (Asteraceae-Poaceae- type) and steppes flora (Fabaceae-type) with close ties with Central European floras (Rosaceae-type). 4 distinct levels of species richness are determined: 1 − 496-544; 2 − 408-413; 3 − 319-374; 4 − 279-298 species.

scholarly journals GalliForm, a database of Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800–2008

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Elizabeth H. Boakes ◽  
Richard A. Fuller ◽  
Georgina M. Mace ◽  
Changqing Ding ◽  
Tzo Tze Ang ◽  
...  
Keyword(s):  
Species Distribution ◽  
Grey Literature ◽  
Distribution Data ◽  
Historical Aspect ◽  
Term Change ◽  
Control Procedures ◽  
Field Notes ◽  
Over Exploitation ◽  
Local Extirpation ◽  
Occurrence Records

Abstract Historical as well as current species distribution data are needed to track changes in biodiversity. Species distribution data are found in a variety of sources, each of which has its own distinct bias toward certain taxa, time periods or places. We present GalliForm, a database that comprises 186687 galliform occurrence records linked to 118907 localities in Europe and Asia. Records were derived from museums, peer-reviewed and grey literature, unpublished field notes, diaries and correspondence, banding records, atlas records and online birding trip reports. We describe data collection processes, georeferencing methods and quality-control procedures. This database has underpinned several peer-reviewed studies, investigating spatial and temporal bias in biodiversity data, species’ geographic range changes and local extirpation patterns. In our rapidly changing world, an understanding of long-term change in species’ distributions is key to predicting future impacts of threatening processes such as land use change, over-exploitation of species and climate change. This database, its historical aspect in particular, provides a valuable source of information for further studies in macroecology and biodiversity conservation.

Agalma clausi (Bedot, 1888) (Siphonophora: Physonectae)—complementary description with notes on species distribution and ecology

Zootaxa ◽  
2018 ◽  
Vol 4441 (2) ◽  
pp. 311
Author(s):  
MACIEJ K. MAŃKO ◽  
PHILIP R. PUGH
Keyword(s):  
Atlantic Ocean ◽  
Species Distribution ◽  
Distribution And Ecology ◽  
Pelagic Ecosystems

Siphonophores are colonial hydrozoans, which in spite of often growing to great lengths are an inconspicuous and understudied component of pelagic ecosystems. Although they are widely distributed, many species have rarely been collected, or often been misidentified so their taxonomy still requires some clarification. Here we redescribe one such species, Agalma clausi Bedot, 1888, supplementing information on its morphology, ecology and distribution based on the material collected in the tropical sector of the Atlantic Ocean and adjacent seas. We also provide comments on the probable status of another Agalma species, A. haeckeli Bigelow, 1911. 

scholarly journals Annual range of temperature and precipitation forecast for Altai-Sayan mountain country

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuriy Borisovich Kirsta ◽  
Olga Volfova Loucka
Keyword(s):  
Precipitation Forecast ◽  
Monthly Precipitation ◽  
Observation Data ◽  
Model Quality ◽  
Temperature And Precipitation ◽  
Annual Range ◽  
Weather Stations ◽  
Sayan Mountain ◽  
Mountain Country

Analysis and long-term forecasting of climatic characteristics of the mountains is laborious and extremely difficult due to complex vertical and horizontal differentiation of climatic fields and insufficient number of weather stations in the region. We have developed a method for statistical forecast of average monthly temperature in the surface air layer and monthly precipitation for the mountain areas with an annual lead time. The method is based on the description of monthly dynamics of the mentioned factors expressed in percent of their average annual monthly values measured in situ. Such a dynamics remains the same throughout the study territory, regardless of its height and exposure. To convert the relative values of temperature and precipitation into their conventional units of measurements (C and mm) one needs just mean annual January and July values of air temperature and precipitation for the territory under study. By the example of the Altai-Sayan mountain country, it is shown that the use of observation data for 67 years obtained from several reference weather stations ensure reliable prediction. The forecast is equally true for any part of the mountainous country due to spatial generalization of relative changes in these factors. The universal criterion A for assessing the quality of various predictive methods (including those, which do not use the model quality indices RSR and NashSutcliffe) is proposed. The criterion is the error of predictive method Sdiff normalized by standard deviation Sobs of observations from their average and equals to Sdiff/ Sobs. It is associated with NSE and RSR indices through dependencies RSR = A and NSE = 1RSR2 = 12A2. The proposed criterion was used in assessing the quality of temperature and precipitation forecasts; it was close to the theoretically best one for statistical prognoses.

scholarly journals MaxEnt algorithm applying to moss species distribution analysis

2020 ◽  
Vol 19 (2) ◽  
pp. 211-214
Author(s):  
O. Yu. Pisarenko
Keyword(s):  
Species Distribution ◽  
Modeling Method ◽  
Distribution Analysis ◽  
Moss Species ◽  
Bioclimatic Modeling ◽  
Maxent Algorithm

Bioclimatic modeling method MaxEnt is tested on objects occupying micro-habitats on the example ofmosses. Data organizing options and the results are discussed.

scholarly journals Exploring snake occurrence records: Spatial biases and marginal gains from accessible social media

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8059 ◽  
Author(s):  
Benjamin M. Marshall ◽  
Colin T. Strine
Keyword(s):  
Social Media ◽  
North America ◽  
South America ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Conservation Status ◽  
Model Performance ◽  
Distribution Models ◽  
Occurrence Data ◽  
Occurrence Records

A species’ distribution provides fundamental information on: climatic niche, biogeography, and conservation status. Species distribution models often use occurrence records from biodiversity databases, subject to spatial and taxonomic biases. Deficiencies in occurrence data can lead to incomplete species distribution estimates. We can incorporate other data sources to supplement occurrence datasets. The general public is creating (via GPS-enabled cameras to photograph wildlife) incidental occurrence records that may present an opportunity to improve species distribution models. We investigated (1) occurrence data of a cryptic group of animals: non-marine snakes, in a biodiversity database (Global Biodiversity Information Facility (GBIF)) and determined (2) whether incidental occurrence records extracted from geo-tagged social media images (Flickr) could improve distribution models for 18 tropical snake species. We provide R code to search for and extract data from images using Flickr’s API. We show the biodiversity database’s 302,386 records disproportionately originate from North America, Europe and Oceania (250,063, 82.7%), with substantial gaps in tropical areas that host the highest snake diversity. North America, Europe and Oceania averaged several hundred records per species; whereas Asia, Africa and South America averaged less than 35 per species. Occurrence density showed similar patterns; Asia, Africa and South America have roughly ten-fold fewer records per 100 km2than other regions. Social media provided 44,687 potential records. However, including them in distribution models only marginally impacted niche estimations; niche overlap indices were consistently over 0.9. Similarly, we show negligible differences in Maxent model performance between models trained using GBIF-only and Flickr-supplemented datasets. Model performance appeared dependent on species, rather than number of occurrences or training dataset. We suggest that for tropical snakes, accessible social media currently fails to deliver appreciable benefits for estimating species distributions; but due to the variation between species and the rapid growth in social media data, may still be worth considering in future contexts.

scholarly journals Evolutionary History of LTR Retrotransposon Chromodomains in Plants

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Anton Novikov ◽  
Georgiy Smyshlyaev ◽  
Olga Novikova
Keyword(s):  
Evolutionary History ◽  
Higher Plants ◽  
Ltr Retrotransposon ◽  
Ltr Retrotransposons ◽  
Moss Species ◽  
Plant Genomes ◽  
Group I ◽  
Wide Range ◽  
History Of ◽  
Computer Based

Chromodomain-containing LTR retrotransposons are one of the most successful groups of mobile elements in plant genomes. Previously, we demonstrated that two types of chromodomains (CHDs) are carried by plant LTR retrotransposons. Chromodomains from group I (CHD_I) were detected only in Tcn1-like LTR retrotransposons from nonseed plants such as mosses (including the model moss species Physcomitrella) and lycophytes (the Selaginella species). LTR retrotransposon chromodomains from group II (CHD_II) have been described from a wide range of higher plants. In the present study, we performed computer-based mining of plant LTR retrotransposon CHDs from diverse plants with an emphasis on spike-moss Selaginella. Our extended comparative and phylogenetic analysis demonstrated that two types of CHDs are present only in the Selaginella genome, which puts this species in a unique position among plants. It appears that a transition from CHD_I to CHD_II and further diversification occurred in the evolutionary history of plant LTR retrotransposons at approximately 400 MYA and most probably was associated with the evolution of chromatin organization.

scholarly journals Eriocaulaceae in the Brazilian Amazon and the use of Species Distribution Modelling in its conservation

Rodriguésia ◽  
2016 ◽  
Vol 67 (4) ◽  
pp. 905-916 ◽  
Author(s):  
Ana M. Giulietti ◽  
Raymond M. Harley ◽  
José Oswaldo Siqueira ◽  
Tereza Cristina Giannini
Keyword(s):  
Species Distribution ◽  
Brazilian Amazon ◽  
Species Distribution Modelling ◽  
The Other ◽  
Amazon Rainforest ◽  
Distribution Data ◽  
Biodiversity Data ◽  
Distribution Modelling ◽  
Single Location ◽  
Distribution And Ecology

Abstract Following a survey in herbaria in Brazil and abroad, complemented by a survey of the literature and searches of biodiversity data, 66 taxa of Eriocaulaceae have been identified in the Brazilian Amazon, as defined by the states of Acre, Amapá, Amazonas, Pará, Rondônia and Roraima. Six genera of Eriocaulaceae were found in the Amazon with the following taxon numbers: Comanthera (3 taxa), Eriocaulon (10), Paepalanthus (15), Rondonanthus (2), Syngonanthus (35) and Tonina (1). Of this total, 25 taxa present distributions in the states of the Amazon and other Brazilian states (considered as widely distributed) and the remaining 41 taxa are restricted to the Amazon Rainforest biome. The distribution data for 31 species were used for Species Distribution Modelling, due to the low number of occurrence points reported for the other taxa, 17 of those are known from a single location. The overlap of these models indicates areas from Amapá, Amazonas, Pará and Roraima where modelled species are most likely to occur. These data can further contribute to the location of new populations of species of Eriocaulaceae. New detection of Eriocaulaceae species can assist in filling the gaps on their geographic distribution and ecology, contributing to the protection or restoration of priority areas set aside for their conservation.

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.

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