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109 results for “mammal community”
Data from: Context-dependent effects of large wildlife declines on small mammal communities in central Kenya
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Data from: Inter-annual dynamics and persistence of small mammal communities in a selectively logged tropical forest in Borneo
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Andean non-volant small mammals: a dataset of community assemblages of non-volant small mammals from the high Andes
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Data from: Synchrony in small mammal community dynamics across a forested landscape
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Data from: Revealing kleptoparasitic and predatory tendencies in an African mammal community using camera traps: a comparison of spatiotemporal approaches
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Altitudinal dispersal process drives community assembly of montane small mammals
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Trucks vs treks: The relative influence of motorized vs non-motorized recreation on a mammal community
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Data from: Negative effects of an exotic grass invasion on small-mammal communities
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Data from: Carrion fly-derived DNA metabarcoding is an effective tool for mammal surveys: evidence from a known tropical mammal community
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Data from: Random versus game trail-based camera trap placement strategy for monitoring terrestrial mammal communities
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Data for Body mass-related changes in mammal community assembly patterns during the late Quaternary of North America
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Data from: Using camera trapping and hierarchical occupancy modelling to evaluate the spatial ecology of an African mammal community
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Data from: Progressively excluding mammals of different body size affects community and trait structure of ground beetles
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Glacier Bay National Park mammal and plant community data
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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>
Fig. 3 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 3. Camera-trap photographs from Phnom Prich Wildlife Sanctuary: a. leopard; b. gaur; c. banteng; and d. Asian elephant.
Figures 5-6 from: Gentile R, Cardoso TS, Costa-Neto SF, Teixeira BR, D'Andrea PS (2018) Community structure and population dynamics of small mammals in an urban-sylvatic interface area in Rio de Janeiro, Brazil. Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e13465
Figures 5-6 Small mammal community structure in CFMA and Pau da Fome, Rio de Janeiro, Brazil, for the (5) 2001 and (6) 2012–2015 samplings. (A, B, C, D, E, F, G, H, K, L) CFMA transects, (C1, D1, E1, F1, G1) Pau da Fome transects.
Figures 2-4 from: Gentile R, Cardoso TS, Costa-Neto SF, Teixeira BR, D'Andrea PS (2018) Community structure and population dynamics of small mammals in an urban-sylvatic interface area in Rio de Janeiro, Brazil. Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e13465
Figures 2-4 Plots of the Non-metric Multidimensional Scaling Analysis between the two periods and areas studied (● CFMA and Pau da Fome) for the small mammal species: (2) comparison between 2001 and 2012-2015 samplings including all transects pulled; (3) comparison among transects in 2001 (transects from A to D in disturbed forests and from E to H in peridomicile areas of CFMA; transects from C1 to G1 in disturbed forest of Pau da Fome); (4) comparison among transects for the 2012-2015 period (transects A, B, K, L in disturbed forest areas of CFMA; E1 in disturbed forest areas of Pau da Fome; C, D in peridomicile areas of CFMA; C1 and D1 in peridomicile areas of Pau da Fome; E and F in preserved forest areas of CFMA).
Figure 7 from: Gentile R, Cardoso TS, Costa-Neto SF, Teixeira BR, D'Andrea PS (2018) Community structure and population dynamics of small mammals in an urban-sylvatic interface area in Rio de Janeiro, Brazil. Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e13465
Figure 7 Canonical correspondence analysis (CCA) and relationship among species, transects (A, B, C, D, E, F) and habitat variables (CANO – percentage of canopy cover; TREE – number of trees with diameter at breast height ≥ 5; VCS – percentage of vegetation cover on the soil; VVO – vertical vegetation obstruction) for the 2012–2015 period in CFMA, Rio de Janeiro, Brazil.
Figure 9 from: Gentile R, Cardoso TS, Costa-Neto SF, Teixeira BR, D'Andrea PS (2018) Community structure and population dynamics of small mammals in an urban-sylvatic interface area in Rio de Janeiro, Brazil. Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e13465
Figure 9 Age structure of the marsupial Didelphis aurita for the 2012–2015 period in CFMA and Pau da Fome, Rio de Janeiro, Brazil.
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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.