Bat species of a karstic region in the Brazilian savanna and extension of the Hsunycteris thomasi (Phyllostomidae: Lonchophyllinae) distribution

Mammalia ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Liriann Chrisley N. Da Silva ◽  
Thiago Bernardi Vieira ◽  
Andressa S. Q. A. Oliveira ◽  
Poliana Mendes ◽  
Franciele P. Peixoto ◽  
...  
Keyword(s):  
Protected Area ◽  
Potential Distribution ◽  
Automatic Recording ◽  
Brazilian Savanna ◽  
Distribution Area ◽  
First Order ◽  
Central Brazil ◽  
Complete Knowledge ◽  
Bat Diversity ◽  
Western Portion

Abstract We do not have a complete knowledge of the bat species presence in West Central Brazil domain and still do not understand how bats respond to the ecosystems rapid vanishing. We quantified bat diversity in the Parque Estadual de Terra Ronca (PETER), a Cerrado protected area. Additionally, we report an extension of the Hsunycteris thomasi distribution known only in the Amazon and the western portion of Brazil. Over 1.440 m2 h of mist netting and five nights of automatic recording, we recorded five families and 38 species, while the Jackknife first-order estimator predicted the occurrence of 25 species. Besides the register of species for the area, the novelty is the increase in the potential distribution area of H. thomasi in Norwest’s and north of the Midwest of Brazil. We also report the presence of at least one Lonchophylla dekeyseri population, an endemic to Cerrado. The lack of bat captures within the cotton plantation suggests the impoverishment of the bat assemblages due to the extensive loss of native habitats.

Turnera fasciculifolia (Turneraceae, Passifloraceae s. l.): A New Species From the Jalapão Region, Tocantins, Brazil

2020 ◽  
Vol 45 (4) ◽  
pp. 833-838
Author(s):  
Lamarck Rocha ◽  
Patrícia Luz Ribeiro ◽  
Maria Mercedes Arbo
Keyword(s):  
New Species ◽  
Protected Area ◽  
Extrafloral Nectaries ◽  
Distribution Map ◽  
Central Brazil ◽  
Axillary Branches ◽  
Revolute Margin ◽  
A New Species

Abstract—We present a new species, Turnera fasciculifolia, from the Jalapão region, the largest continuous protected area of Cerrado in Tocantins State, in central Brazil. The new species belongs to Turnera series Leiocarpae, and it can be recognized by the linear ericoid leaves with revolute margin, generally without extrafloral nectaries, and the basal leaves of the young axillary branches gathered in fascicles. We provide a description, illustrations, a distribution map, and a comparison with T. genistoides and T. revoluta, which also have ericoid leaves.

scholarly journals Potential distribution of the endangered endemic lizard Liolaemus lutzae Mertens, 1938 (Liolaemidae): are there other suitable areas for a geographically restricted species?

2014 ◽  
Vol 74 (2) ◽  
pp. 338-348 ◽  
Author(s):  
GR. Winck ◽  
P. Almeida-Santos ◽  
CFD. Rocha
Keyword(s):  
Geographic Distribution ◽  
Diurnal Temperature Range ◽  
Potential Distribution ◽  
Sand Dune ◽  
Loss Rate ◽  
Distribution Area ◽  
Environmental Matrices ◽  
High Loss ◽  
Original Distribution ◽  
High Loss Rate

In this study we attempted to access further information on the geographical distribution of the endangered lizard Liolaemus lutzae, estimating its potential distribution through the maximum entropy algorithm. For this purpose, we related its points of occurrence with matrices of environmental variables. After examining the correlation between environmental matrices, we selected 10 for model construction. The main variables influencing the current geographic distribution of L. lutzae were the diurnal temperature range and altitude. The species endemism seemed to be a consequence of a reduction of the original distribution area. Alternatively, the resulting model may reflect the geographic distribution of an ancestral lineage, since the model selected areas of occurrence of the two other species of Liolaemus from Brazil (L. arambarensis and L. occipitalis), all living in sand dune habitats and having psamophilic habits. Due to the high loss rate of habitat occupied by the species, the conservation and recovery of the remaining areas affected by human actions is essential.

scholarly journals Current and Future Potential Distribution of the Xerophytic Shrub Candelilla (Euphorbia antisyphilitica) under Two Climate Change Scenarios

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 530 ◽  
Author(s):  
Gonzalo Vargas-Piedra ◽  
Ricardo David Valdez-Cepeda ◽  
Armando López-Santos ◽  
Arnoldo Flores-Hernández ◽  
Nathalie S. Hernández-Quiroz ◽  
...  
Keyword(s):  
Climate Change ◽  
North America ◽  
Habitat Suitability ◽  
Potential Distribution ◽  
The United States ◽  
Economic Importance ◽  
Distribution Area ◽  
Climate Projections ◽  
Geophysical Fluid Dynamics Laboratory ◽  
Climate Change Scenarios

Candelilla (Euphorbia antisyphilitica Zucc.) is a shrub species distributed throughout the Chihuahuan Desert in northern Mexico and southern of the United States of America. Candelilla has an economic importance due to natural wax it produces. The economic importance and the intense harvest of the wax from candelilla seems to gradually reduce the natural populations of this species. The essence of this research was to project the potential distribution of candelilla populations under different climate change scenarios in its natural distribution area in North America. We created a spatial database with points of candelilla presence, according to the Global Biodiversity Information Facility (GBIF). A spatial analysis to predict the potential distribution of the species using Maxent software was performed. Thirteen of 19 variables from the WorldClim database were used for two scenarios of representative concentration pathways (RCPs) (4.5 as a conservative and 8.5 as extreme). We used climate projections from three global climate models (GCMs) (Max Planck institute, the Geophysical Fluid Dynamics Laboratory and the Met Office Hadley), each simulating the two scenarios. The final predicted distribution areas were classified in five on-site possible candelilla habitat suitability categories: none (< 19%), low (20–38%), medium (39–57%), high (58–76%) and very high (> 77%). According to the area under the curve (0.970), the models and scenarios used showed an adequate fit to project the current and future distribution of candelilla. The variable that contributed the most in the three GCMs and the two RCPs was the mean temperature of the coldest quarter with an influence of 45.7% (Jackknife test). The candelilla’s distribution area for North America was predicted as approximately 19.1 million hectares under the current conditions for the high habitat suitability; however, the projection for the next fifty years is not promising because the GCMs projected a reduction of more than 6.9 million hectares using either the conservative or extreme scenarios. The results are useful for conservation of the species in the area with vulnerable wild populations, as well as for the selection of new sites suitable for the species growth and cultivation while facing climate change.

Bat diversity of a Cerrado habitat in central Brazil

2008 ◽  
Vol 17 (4) ◽  
pp. 791-805 ◽  
Author(s):  
Marlon Zortéa ◽  
Cleber J. R. Alho
Keyword(s):  
Central Brazil ◽  
Bat Diversity

scholarly journals Distribution, richness and conservation of the genus Salvia (Lamiaceae) in the State of Michoacán, Mexico

2020 ◽  
Vol 8 ◽  
Author(s):  
Mayra Flores-Tolentino ◽  
Sabina I. Lara-Cabrera ◽  
José Luis Villaseñor
Keyword(s):  
Potential Distribution ◽  
Pearson Correlation ◽  
Conservation Status ◽  
Volcanic Belt ◽  
The State ◽  
Distribution Area ◽  
Individual Species ◽  
Ecological Niche Models ◽  
Distribution Models ◽  
Niche Models

Little attention has been paid in Mexico to species’ geographical distribution, particularly documenting geographic ranges, as a tool to estimate their conservation status. The objective of this study was to review known species distribution and propose potential and conservation status for Salvia species in Michoacán sState using Ecological Niche Models (ENM). We reviewed taxonomic studies for Salvia in Michoacán to compile an initial species checklist, built upon with recently-described species; all the specimens deposited in the National Herbarium were reviewed. The collection data allowed us to build niche models of Salvia species reported for Michoacán. ENM were generated for the species listed using Maxent. In order to minimise collinearity, environmental variables were selected using a Pearson correlation test. Individual models were statistically evaluated and the potential distribution models for each individual species were stacked to obtain the map of richness potential distribution in the State. A total of 66 species of Salvia are listed for Michoacán; however, ENM could only be constructed for 42 of those with ≥ 5 specimens. The environmental variable that most strongly contributed to the models was annual average temperature. The models estimated that Salvia species occupy an area of 23,541 km2 in the State, 72% in the Trans-Mexican Volcanic Belt and a second richest ecoregion is the Sierra Madre del Sur. Although only 3% of the potential distribution area for Salvia in Michoacán is within Protected Areas (PAs), nonetheless, no PA includes rare species. It will therefore be necessary to consider new protection areas or expand existing ones in order to adequately conserve Salvia richness and rarity in the State.

scholarly journals The relationship between forest fragmentation and the potential geographical distribution of psittacids (Psittaciformes: Psittacidae) in the Yucatan Peninsula, Mexico

2017 ◽  
Vol 65 (4) ◽  
pp. 1470
Author(s):  
Alexis Herminio Plasencia Vázquez ◽  
Griselda Escalona Segura ◽  
Yarelys Ferrer Sánchez
Keyword(s):  
Geographical Distribution ◽  
Forest Fragmentation ◽  
Potential Distribution ◽  
Yucatan Peninsula ◽  
Quintana Roo ◽  
Distribution Area ◽  
Yucatán Peninsula ◽  
Amazona Oratrix ◽  
The Mean ◽  
The Relationship

Parrots are a seriously threatened group because of the illegal pet trade, their habitat fragmentation and the destruction of tropical forests. This study aimed to determine the relationship between forest fragmentation and the geographic potential distribution of parrot species in the Yucatan Peninsula, Mexico. The research was carried out in the Mexican portion of the Yucatan Peninsula Biotic region, which includes the states of Campeche, Quintana Roo and Yucatan. We worked with the eight species of psittacids that inhabit the selected areas: Eupsittula nana, Amazona albifrons, Amazona xantholora, Amazona autumnalis, Pionus senilis, Pyrilia haematotis, Amazona oratrix and Amazona farinosa. For these species, we used the potential geographical distribution maps that were obtained through the Maximum Entropy algorithm, published in 2014. To measure the levels of forest fragmentation in the Peninsula, we employed the land use and vegetation maps from series IV (2007-2010) of the National Institute of Statistics and Geography. We calculated different landscape metrics at 100 sites randomly distributed within the predicted presence and absence areas for the species. Multivariate methods were used to shorten dimensionality in the analysis, as well as to explore the observed patterns. We did not find any pattern regarding the number of variables that contribute to the logistic regression models (LR) and the size of the parrots’ potential geographical distribution area within the Peninsula. For Pyrilia haematotis and Amazona oratrix, the fragmentation variables used did not seem to have any relationship with their potential geographical distribution in the Peninsula (intersection, Pr < 0.0001). Only for Eupsittula nana, Amazona xantholora and Pionus senilis, we found that the mean patch edge, the mean shape index and the mean perimeter-area ratio were important to determine their potential distribution patterns, respectively; and, in general, the variables indicated the preferences of these parrots to occupy larger habitat patches. Parrots must be given a special care and protection within the states of Campeche and Quintana Roo, since there are areas with high parrot diversity and are importantly affected by human activities. The best recommendation for managers and users of protected areas within the Yucatan Peninsula is that extensive areas of forest should be maintained in order to guarantee the suvival of psittacid populations.

scholarly journals Magnolia mercedesiarum (subsect. Talauma, Magnoliaceae): a new Andean species from northern Ecuador, with insights into its potential distribution

Phytotaxa ◽  
2018 ◽  
Vol 348 (4) ◽  
pp. 254 ◽  
Author(s):  
J.-ANTONIO VÁZQUEZ-GARCÍA ◽  
DAVID A. NEILL ◽  
VIACHESLAV SHALISKO ◽  
FRANK ARROYO ◽  
R. EFRÉN MERINO-SANTI
Keyword(s):  
New Species ◽  
Species Distribution ◽  
Rare Species ◽  
Potential Distribution ◽  
Species Distribution Models ◽  
Distribution Area ◽  
Distribution Models ◽  
The Andes ◽  
Vegetation Sampling ◽  
A New Species

Magnolia mercedesiarum, a new species from the eastern slopes of the Andes in northern Ecuador, is described and illustrated, and a key to Ecuadorian Magnolia (subsect. Talauma) is provided. This species differs from M. vargasiana in having broadly elliptic leaves that have an obtuse base vs. suborbicular and subcordate to cordate, glabrous stipular scars, more numerous lateral veins per side and fewer stamens. It also differs from M. llanganatensis in having leaf blades broadly elliptic vs. elliptic, longer petioles, less numerous lateral leaf veins per side, larger fruits and more numerous petals and carpels. Using MaxEnt species distribution models and IUCN threat criteria, M. mercedesiarum has a potential distribution area of less than 3307 km² and is assessed as Endangered (EN): B1 ab (i, ii, iii). The relevance of systematic vegetation sampling in the discovery of rare species is highlighted.

scholarly journals Impact of Past and Future Climate Change on the Potential Distribution of an Endangered Montane Shrub Lonicera oblata and Its Conservation Implications

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 125
Author(s):  
Yuan-Mi Wu ◽  
Xue-Li Shen ◽  
Ling Tong ◽  
Feng-Wei Lei ◽  
Xian-Yun Mu ◽  
...  
Keyword(s):  
Climate Change ◽  
Endangered Species ◽  
Potential Distribution ◽  
North China ◽  
Distribution Area ◽  
Future Climate Change ◽  
Interglacial Period ◽  
Last Interglacial ◽  
Conservation Implications ◽  
Suitable Habitats

Climate change is an important driver of biodiversity patterns and species distributions, understanding how organisms respond to climate change will shed light on the conservation of endangered species. In this study, we modeled the distributional dynamics of a critically endangered montane shrub Lonicera oblata in response to climate change under different periods by building a comprehensive habitat suitability model considering the effects of soil and vegetation conditions. Our results indicated that the current suitable habitats for L. oblata are located scarcely in North China. Historical modeling indicated that L. oblata achieved its maximum potential distribution in the last interglacial period which covered southwest China, while its distribution area decreased for almost 50% during the last glacial maximum. It further contracted during the middle Holocene to a distribution resembling the current pattern. Future modeling showed that the suitable habitats of L. oblata contracted dramatically, and populations were fragmentedly distributed in these areas. As a whole, the distribution of L. oblata showed significant migration northward in latitude but no altitudinal shift. Several mountains in North China may provide future stable climatic areas for L. oblata, particularly, the intersections between the Taihang and Yan mountains. Our study strongly suggested that the endangered montane shrub L. oblata are sensitive to climate change, and the results provide new insights into the conservation of it and other endangered species.

scholarly journals Modeling the Effect of Climate Change on the Potential Distribution of Qinghai Spruce (Picea crassifolia Kom.) in Qilian Mountains

Forests ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 62 ◽  
Author(s):  
Zhanlei Rong ◽  
Chuanyan Zhao ◽  
Junjie Liu ◽  
Yunfei Gao ◽  
Fei Zang ◽  
...  
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Distribution Area ◽  
Future Scenarios ◽  
Climate Condition ◽  
Picea Crassifolia ◽  
The Real ◽  
Current Climate ◽  
Real Distribution ◽  
Qinghai Spruce

Qinghai spruce forests play a key role in water conservation in the dry region of northwest China. So, it is necessary to understand the impacts of climate change on the species to implement adaptation strategies. Based on the four-emission scenario (i.e., RCP2.6 (Representative Concentration Pathway), RCP4.5, RCP6.0 and RCP8.5) set by the Intergovernmental Panel on Climate Change (IPCC) fifth assessment report, in the study, we predicted the potential distribution of Qinghai spruce (Picea crassifolia Kom.) under current and future scenarios using a maximum entropy (Maxent) model. Seven variables, selected from 22 variables according to correlation analysis combining with their contribution rates to the distribution, are used to simulate the potential distribution of the species under current and future scenarios. Simulated results are validated by area under the operating characteristic curve (AUC). Results demonstrate that elevation, mean temperature of wettest quarter, annual mean temperature, and mean diurnal range are more important in dominating the potential distribution of Qinghai spruce. Ratios of the suitable area to the total study area are 34.3% in current climate condition, 34% in RCP2.6, 33.9% in RCP4.5, 33.8% in RCP6.0, and 30.5% in RCP8.5, respectively. The warmer the climate condition is, the more area of higher suitable classification is changed to that of lower suitable classification. The ratios of real distribution area in simulated unsuitable class to the real distribution area change from 4.3% (60.7 km2) in the current climate to 13% (185 km2) in RCP8.5, suggesting that the real distribution area may decrease in the future. We conclude that there is a negative effect of climate change on the distribution of Qinghai spruce forest. The result can help decision-makers to draft adaptation countermeasures based on climate change.

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