Biogeography and priority areas for the conservation of bats in the Brazilian Cerrado

Silva, Daiana Cardoso; Vieira, Thiago Bernardi; Silva, Joaquim Manoel da; Faria, Karina de Cassia

doi:10.1007/s10531-017-1464-z

Cited by 15 publications

(7 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our models also highlighted the importance of remnants in the Atlantic Forest, and along eastern Caatinga and portions of Cerrado, in maintaining important areas for both richness and diversity of endemic and threatened bat species in Brazil. The same applies for strict protected areas: Our results suggest that some of those areas may potentially harbour > 80 bat species, an estimate supported by other recently published study focused on bats in the Cerrado (Silva, Vieira, Silva, & Faria, ). The Atlantic Forest, Caatinga and Cerrado are the most threatened biomes in Brazil (http://www.mapbiomas.org), and the seven officially threatened bat species in the country are mainly distributed in those three regions.…”

Section: Discussionsupporting

confidence: 88%

“…Although we identified that part of areas holding threatened and endemic species matches with strictly protected areas, the extension of those overlapping areas, however, is small (2.3% for threatened species; 2.2% for endemic species). So, the current strictly protected areas could be not enough for the in situ protection of endemic and threatened bat species in Brazil (see also Silva et al, ). Particularly, due to extent and severity of deforestation (Ribeiro, Metzger, Martensen, Ponzoni, & Hirota, ), the Atlantic Forest is a high priority for almost any biodiversity group (Jenkins et al, ).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil

Delgado‐Jaramillo

Aguiar

Machado

et al. 2020

Diversity and Distributions

View full text Add to dashboard Cite

Aim:The effective conservation and management of any given species frequently requires basic knowledge on its distribution, which is problematic for highly mobile, species-and ecologically-rich groups, like bats. Moreover, to produce detailed distributions for continental-sized, bat species-rich countries, like Brazil, is difficult, especially considering that ~60% of the country has not a single formal bat record. Using Species Distribution Modelling (SDM), we assessed the potential distribution of >100 species of Brazilian bats. Location: Brazil.Methods: We (a) updated data on the distribution of 135 bat species, (b) generated SDMs for each species, (c) constructed species richness maps for Brazil, (d) determined areas of endemism and (e) identified areas harbouring threatened species.Results: Amazonia harbours the highest bat species richness (76% of the species), followed by the Atlantic Forest (66%), Cerrado (65%) and the Caatinga (53%). Richness in 5 × 5 km grid cells varied between 23 and 117 species and 70% of Brazil's territory is predicted to have 50-90 species, and 25% >90 species. Coastal Atlantic forest, mainly in its north-eastern region, and along its contact zone with the Caatinga biome had the highest potential richness. However, there is a severe regional sampling bias: 48% of the records available were from the Atlantic Forest and 21% were from along the Amazon River. Main conclusions: Pantanal and Pampa are clearly under sampled, with <50% of their expected richness already assessed. Endemic and endangered bat species are in the Atlantic Forest, Cerrado and Caatinga, the most threatened biomes in Brazil. In addition to the seven nationally threatened bat species in Brazil, the situation for other species is worrisome: In a business-as-usual scenario, local extinctions in large portions of the country may happen before basic information gaps are filled. K E Y W O R D S Chiroptera, Maxent, priority areas, species distribution models | 633 DELGADO-JARAMILLO Et AL.

show abstract

Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil

Delgado‐Jaramillo

Aguiar

Machado

et al. 2020

Diversity and Distributions

View full text Add to dashboard Cite

show abstract

“…Improvement in both sampling efficiency and modelling technique leads to an encouraging increase in studies using SDMs for bats (for a review, see Razgour, Rebelo, Febbraro, & Russo, ). However, SDM studies on bats remain scarce and often address disparate questions or single species such as disentangling niches of cryptic species (e.g., Sattler, Bontadina, Hirzel, & Arlettaz, ; Rutishauser, Bontadina, Braunisch, Ashrafi, & Arlettaz, ; Santos et al, ; Smeraldo et al, ), modelling rare species of conservation concern (e.g., Rebelo & Jones, ; Razgour, Hanmer, & Jones, ; Santos, Rodrigues, Jones, & Rebelo, ; Russo et al, ; Silva, Vieira, Silva, & Cassia Faria, ) or predicting the influence of climate change (e.g., Rebelo, Tarroso, & Jones, ; Pio et al, ; Carstens, Morales, Field, & Pelletier, ). Applications of SDMs to multiple or all species in a region at fine spatial resolution are still relatively rare due to limited data availability (but see Lisón & Calvo, ), although such effort would be needed to support conservation planning (Vincent, ).…”

Section: Introductionmentioning

confidence: 99%

Modelling bat distributions and diversity in a mountain landscape using focal predictors in ensemble of small models

Scherrer

Christe

Guisan

2019

Diversity and Distributions

View full text Add to dashboard Cite

Aim: Bats are important components of mammalian biodiversity and strong bioindicators, but their fine-scale distributions often remain less known than other taxa (e.g., plants, birds). Yet as highly mobile species with multiple needs in the landscape, bats impose serious modelling challenges, such as advanced use of neighbourhood analyses. The aims of this study were to test the use of a designed sampling of bats for biodiversity and conservation assessments, and to find appropriate modelling solutions for providing nature practitioners with reliable potential bat distribution maps in a mountain area of high conservation interest. Location:The western Swiss Alps of Vaud. Methods:We conducted a one-year field survey combining passive acoustic recordings supplemented by mist net catching to collect data on bats. These data were then used to create univariate models with focal land use/cover variables using different focal window sizes to detect the optimal species-specific scale of influence for each variable. The large number of selected variables was then used to create ensembles of small models at a 100 m × 100 m resolution, and the resulting habitat suitability maps were transformed into species distribution maps for practitioners. Results:We were able to collect data to model 14 different bat species representing 66% of the Swiss bat diversity, including four red list species. In general, the most important variables were Euclidean distance to road or water, temperature and slope, but there was large variation among species both for the variable importance and for the optimal focal window size. Main conclusion: Our study greatly increased the knowledge of bats in this regionand showed that many of the red list species are nowadays disappearing from the intensively used lowland plains and restricted to the remaining forests along the slopes. Additionally, we highlighted the importance of selecting the variable scale on a species-specific basis accounting for their mobility and range sizes. K E Y W O R D S bioindicators, Continuous Boyce Index, habitat suitability model, multi-scale model, presenceonly model, rare species, Switzerland | 771 SCHERRER Et al.

show abstract

“…These results indicate that the current network of CUs does little to protect Gerromorpha species, especially those with restricted distributions, and especially species with distributions smaller than 250 km². CUs may be protecting sites with marginal environmental suitability for the occurrence of these species (e.g., Nóbrega and de Marco 2011;Sánchez-Fernández et al 2013;Silva et al 2018), thereby making these species more susceptible to environmental change, such as anthropogenic activities and climate change. These results support the conclusion that conservation strategies should be based on conservation policies and not only on the productive value of the areas (which are generally areas with low agricultural interest), or for reasons that are often political 49 .…”

Section: Discussionmentioning

confidence: 99%

“…In addition, we do not know whether the current reserve network is su cient to protect all the taxonomic groups. A study carried out with bats in the Cerrado showed that species with restricted distributions tend not to be covered by conservation units 14 . This result leads us to question the effectiveness of conservation units, especially for key species in ecosystems (such as aquatic insects, which are not charismatic).…”

Section: Introductionmentioning

confidence: 99%

Are Protected Areas Effective In the Conservation of Priority Areas for Freshwater Insects In Brazil?

Dias-Silva

Vieira

Fff

et al. 2021

Preprint

View full text Add to dashboard Cite

Biodiversity conservation has faced many challenges, especially the conversion of natural areas that compete with use for agriculture, energy production and mineral extraction. This problem is further aggravated by lack of knowledge of the biodiversity that exists and the geographical distribution of different groups. The objectives of our study were to examine the distributional pattern of Gerromorpha diversity in Brazil, create a map of conservation priority areas, measure the importance level of the current network of protected areas, and identify the size thresholds in geographical distributions that would allow species to be protected. We used species occurrences from the Water Bugs Distributional Database, and we used 19 bioclimatic variables to build models of the potential distributions of species using the MaxEnt program. Using the potential model results, we calculated diversity metrics and overlapped them with the current state and federal “conservation units” (protected areas for biodiversity) in Brazil. Total beta diversity and turnover portions were separated into two faunistic groups, one in northern and the other in southern Brazil. The Amazon has higher beta diversity than what was predicted by the null models. We detected a positive relationship between species distribution area and occurrence in conservation units. Conservation units with less than 250 km² do not protect Gerromorpha species. We reinforce the necessity of formulating new conservation strategies for this group, contemplating species with both restricted and ample distributions, because rare and specialist species are the most harmed by habitat reduction, given that they are more sensitive to environmental disturbance.

show abstract

Biogeography and priority areas for the conservation of bats in the Brazilian Cerrado

Cited by 15 publications

References 69 publications

Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil

Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil

Modelling bat distributions and diversity in a mountain landscape using focal predictors in ensemble of small models

Are Protected Areas Effective In the Conservation of Priority Areas for Freshwater Insects In Brazil?

Contact Info

Product

Resources

About