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Data from: Community-based wildlife management area supports similar mammal species richness and densities compared to a national park
<p>Community-based conservation models have been widely implemented across Africa to improve wildlife conservation and livelihoods of rural communities. In Tanzania, communities can set aside land and formally register it as Wildlife Management Area (WMA), which allows them to generate revenue via consumptive or non-consumptive utilization of wildlife. The key, yet often untested, assumption of this model is that economic benefits accrued from wildlife motivate sustainable management of wildlife. To test the ecological effectiveness (here defined as persistence of wildlife populations) of Burunge Wildlife Management Area (BWMA), we employed a participatory monitoring approach involving WMA personnel. At intermittent intervals between 2011 and 2018, we estimated mammal species richness and population densities of ten mammal species (African elephant, giraffe, buffalo, zebra, wildebeest, waterbuck, warthog, impala, Kirk's dik-dik, and vervet monkey) along line transectss . We compared mammal species accumulation curves and density estimates with those of time-matched road transect surveys conducted in adjacent Tarangire National Park (TNP). Mammal species richness estimates were similar in both areas, yet observed species richness per transect was greater in TNP compared to BWMA. Species-specific density estimates of time-matched surveys were mostly not significantly different between BWMA and TNP, but elephants occasionally reached greater densities in TNP compared to BWMA. In BWMA, elephant, wildebeest, and impala populations showed significant increases from 2011 to 2018. These results suggest that community-based conservation models can support mammal communities and densities that are similar to national park baselines. In light of the ecological success of this case study, we emphasize the need for continued efforts to ensure that the BWMA is effective. This will require adaptive management to counteract potential negative repercussions of wildlife populations on peoples' livelihoods. This study can be used as a model to evaluate the effectiveness of wildlife management areas across Tanzania. Community-based conservation models have been widely implemented across Africa to improve wildlife conservation and livelihoods of rural communities. In Tanzania, communities can set aside land and formally register it as Wildlife Management Area (WMA), which allows them to generate revenue via consumptive or non-consumptive utilization of wildlife. The key, yet often untested, assumption of this model is that economic benefits accrued from wildlife motivate sustainable management of wildlife. To test the ecological effectiveness (here defined as persistence of wildlife populations) of Burunge Wildlife Management Area (BWMA), we employed a participatory monitoring approach involving WMA personnel. At intermittent intervals between 2011 and 2018, we estimated mammal species richness and population densities of ten mammal species (African elephant, giraffe, buffalo, zebra, wildebeest, waterbuck, warthog, impala, Kirk's dik-dik, and vervet monkey) along line transectss . We compared mammal species accumulation curves and density estimates with those of time-matched road transect surveys conducted in adjacent Tarangire National Park (TNP). Mammal species richness estimates were similar in both areas, yet observed species richness per transect was greater in TNP compared to BWMA. Species-specific density estimates of time-matched surveys were mostly not significantly different between BWMA and TNP, but elephants occasionally reached greater densities in TNP compared to BWMA. In BWMA, elephant, wildebeest, and impala populations showed significant increases from 2011 to 2018. These results suggest that community-based conservation models can support mammal communities and densities that are similar to national park baselines. In light of the ecological success of this case study, we emphasize the need for continued efforts to ensure that the BWMA is effective. This will require adaptive management to counteract potential negative repercussions of wildlife populations on peoples' livelihoods. This study can be used as a model to evaluate the effectiveness of wildlife management areas across Tanzania.</p>
FIGURE 4 in Five new species of fur mites (Acariformes: Sarcoptoidea) from small mammals in Laos
FIGURE 4. Atopomelus megalotis sp. n., male holotype in ventral view.
FIGURE 9 in Five new species of fur mites (Acariformes: Sarcoptoidea) from small mammals in Laos
FIGURE 9. Afrolistrophorus saxatilomys sp. n., female: A—Dorsal view; B—Ventral view.
Supplementary material 1 from: Cerri J, Carnevali L, Monaco A, Genovesi P, Bertolino S (2022) Blacklists do not necessarily make people curious about invasive alien species. A case study with Bayesian structural time series and Wikipedia searches about invasive mammals in Italy. NeoBiota 71: 113-128. https://doi.org/10.3897/neobiota.71.69422
Supplementary information
Supplementary material 1 from: Cirino DW, Lupinetti-Cunha A, Freitas CH, de Freitas SR (2022) Do the roadkills of different mammal species respond the same way to habitat and matrix? In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 65-85. https://doi.org/10.3897/natureconservation.47.73010
Correlation plot and R script for building and selecting best models
Supplementary material 2 from: Blackburn TM, Scrivens SL, Heinrich S, Cassey P (2017) Patterns of selectivity in introductions of mammal species worldwide. NeoBiota 33: 33-51. https://doi.org/10.3897/neobiota.33.10471
References from which the database of introduced mammals was constructed :
Supplementary material 1 from: Blackburn TM, Scrivens SL, Heinrich S, Cassey P (2017) Patterns of selectivity in introductions of mammal species worldwide. NeoBiota 33: 33-51. https://doi.org/10.3897/neobiota.33.10471
A list of introduced mammal species :
FIGURE 4 in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 4. Google Earth© (2020) image showing approximate positions of the three caves on the peninsula surveyed by Veth.
FIGURE 1 in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 1. Map of the northwest coast of Western Australia showing the relation between the Montebello and Barrow Islands and Cape Range peninsula.
FIGURE 7 in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 7. Spindle plot of the relative abundances of the species present in three or more spits in the Morgan's Cave deposit, plus all the species recorded in the Barrow Island owl pellet sample, showing the decrease in abundance of sand plain specialists such as Notomys alexis, and the increase in non-sand plain specialists such as Pseudomys nanus.
FIGURE 2. A in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 2. A close-up map of Barrow and Montebello Islands, showing bathymetry of the area around the islands. The 10 m isohyet shows the outline of the "super-island", created when sea levels cut off the islands from the mainland and discussed below.
Figure 2 in Humpback whales interfering when mammal-eating killer whales attack other species: Mobbing behavior and interspecific altruism?
Figure 2. Examples of humpback whales interacting with mammal-eating killer whales attacking various prey species: (A) large type B killer whales attacking a crabeater seal hauled out on an ice floe with an agitated (bellowing) humpback in the foreground; January 2009, Western Antarctic Peninsula, Appendix S2 account #89; photo by J. Durban; (B) Bigg's killer whales attacking a gray whale calf (gray whale mother on left; wounded calf in center) with a humpback whale in the background; May 2012, Monterey Bay, CA, #55; photo E. Robinson courtesy Monterey Bay Whale Watch; (C) Bigg's killer whales attacking a Steller sea lion with humpback in the immediate background; 21 August 2010, Vancouver Island, Canada, #67; photo by R. Frank; (D) Bigg's killer whales attacking a harbor seal (below trailing edge of killer whale dorsal fin; the seal has a transmitter mounted on its head) and a humpback in the background; June 2005, Glacier Bay, AK, #91; photo by M. de Roos.
Figure 4 in Humpback whales interfering when mammal-eating killer whales attack other species: Mobbing behavior and interspecific altruism?
Figure 4. In the Aleutian Islands, Alaska, 17 Bigg's killer whales (in the background) attacked a large humpback calf accompanied by its mother and an escort in July 2003; three other adult humpbacks joined in and helped drive off the killer whales. (This record arrived too late to be included in Appendix S2). Photo: © Flip Nicklin/Minden Pictures.
FIGURE 1 in Species diversity and phylogeny of fleas of small terrestrial mammals in the forests of the Central Highlands of Madagascar
FIGURE 1. Map of Madagascar showing the three sampling sites in the Central Highlands.
Preliminary bioclimatic range components for 36 European mammal species
<div> <div> <div> <div> <div> <div> <p> This dataset comprises raster files that represent the bioclimatic range components for 36 European mammal species, for which modelled habitat suitability maps for both present (time frame 1981-2010) and future (time frame 2041-2070, scenario SSP3-7.0 ) were available by July 2024. Csv file contains a table with species names and respecitve number of clusters. The results presented here are preliminary and may be updated in future analysis iterations. Species distributions were divided into distinct climatic partitions, which can then be used in climate connectivity or spatial conservation prioritization analyses as “bioclimatic components” for each species. The values in each raster correspond to the cluster IDs assigned to individual points within the species distribution model (SDM). </p> </div> </div> </div> </div> </div> </div>
FIGURE 3. A in A second endemic land mammal for the Hawaiian Islands: a new genus and species of fossil bat (Chiroptera: Vespertilionidae)
FIGURE 3. A, Dorsal view and B, ventral views of the skull of the holotype of Synemporion keana (BPBM 159269) compared with C, dorsal and D, ventral views of the skull of Lasiurus cinereus semotus (BPBM 184506). Note that the rostrum of Synemporion is narrower than that of Lasiurus, and that Synemporion also lacks a sagittal crest.
FIGURE 2 in A second endemic land mammal for the Hawaiian Islands: a new genus and species of fossil bat (Chiroptera: Vespertilionidae)
FIGURE 2. Lateral views of the skull and left dentary of A, the holotype of Synemporion keana (BPBM 159269) compared with B, Lasiurus cinereus semotus (BPBM 184506). Note the difference in the rostral profile between the two species, including the more robust lower jaw dentition in Lasiurus compared with Synemporion.
Fig. 55 in The Mammals Of Paracou, French Guiana: A Neotropical Lowland Rainforest Fauna Part 2. Nonvolant Species
Fig. 55. Dorsal and ventral cranial views of four species of Oecomys from French Guiana. Left to right: Oecomys rex (DIM 58); O. auyantepui (USNM 578015); O. bicolor (USNM 394252); O. rutilus (AMNH 267589). All views about Χ2.
Fig. 70 in The Mammals Of Paracou, French Guiana: A Neotropical Lowland Rainforest Fauna Part 2. Nonvolant Species
Fig. 70. Morphology of the roof of the external auditory meatus in Coendou melanurus (A, AMNH 266565) and C. insidiosus (B, AMNH 90119). In C. melanurus, the roof of the meatus has a prominent bony ridge (br) that is lacking in C. insidiosus. Scale bars = 1 mm.
Fig. 40 in The Mammals Of Paracou, French Guiana: A Neotropical Lowland Rainforest Fauna Part 2. Nonvolant Species
Fig. 40. Results of pairwise principal components analyses of representative samples of Neacomys dubosti (dub, N = 29), N. guianae (gui, N = 6), N. paracou (par, N = 37), and N. tenuipes (ten, N = 36). For each of the six analyses illustrated, principal components were extracted from the covariance matrix of logtransformed craniodental measurements of specimens with complete data in the series identified by footnotes to table 20. The first principal component is represented by the horizontal axis in each panel, the second principal component by the vertical axis; species samples are depicted as
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.