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20 results for “Ecotourism”

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dryad40/100

Data from: Ecology of fear alters behaviour of grizzly bears exposed to bear-viewing ecotourism

<p>Humans are perceived as predators by many species and may generate landscapes of fear, influencing the spatiotemporal activity of wildlife. Additionally, wildlife might seek out human activity when faced with predation risks (human shield hypothesis). We used the Anthropause, a decrease in human activity resulting from the COVID-19 pandemic, to test the ecology of fear and human shield hypotheses and quantify the effects of bear-viewing ecotourism on grizzly bear (<em>Ursus arctos</em>) activity. We deployed camera traps in the Khutze watershed in Kitasoo Xai'xais Territory in the absence of humans in 2020 and with experimental treatments of variable human activity when ecotourism resumed in 2021. Daily bear detection rates decreased with more people present and increased with days since people were present. Human activity was also associated with more bear detections at forested sheltered sites, and less at exposed sites, likely due to the influence of habitat on bear perception of safety. The number of people negatively influenced adult male detection rates, but we found no influence on females with young detections, providing no evidence that females responded behaviourally to a human shield effect from reduced male activity. We also observed apparent trade-offs of risk avoidance and foraging. When salmon levels were moderate to high, detected bears were more likely to be females with young than adult males on days with more people present. Should managers want to minimize human impacts on bear activity and maintain baseline age-sex class composition at ecotourism sites, multi-day closures and daily occupancy limits may be effective. More broadly, this work revealed that antipredator responses can vary with the intensity of risk cues, habitat structure, and forage trade-offs, as well as manifest as the altered age-sex class composition of individuals using human-influenced areas, highlighting that wildlife avoids people across multiple spatiotemporal scales.</p>

opencc-zeroApr 2024View details →
zenodo40/100

Fig. 3 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 3. Image illustrating under water visibility at the beginning of the snorkeling excursion and the presence of tourists (Lima, 2008).

opencc-by-4.0Mar 2014View details →
zenodo40/100

Fig. 1 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 1. Map showing the location of the study area: Sucuri River (C), município of Bonito area (B), Brazil (A). Adapted from Miranda &amp; Coutinho (2004).

opencc-by-4.0Mar 2014View details →
zenodo40/100

Fig. 8 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 8. Variation of behaviour patterns between before (8h00) and after (9h00) the first disturbance of tourists in the river (mean and SEM) for M. bonita; (a) Tourism and (b) No Tourism. Lighter bars = 8h00; darker bars = 9h00 (Mann-Whitney U-test). N = 70; * p &lt;0.05; ** p &lt;0.01.

opencc-by-4.0Mar 2014View details →
zenodo40/100

Fig. 9 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 9. Variation (mean and SEM) of cortisol responses to restraining stress in Moenkhausia bonita individuals at the No Tourism and Tourism sites (Mann-Whitney U-test, N = 6; Z = -2.95; p &lt;0.005).

opencc-by-4.0Mar 2014View details →
dryad40/100

Data from: Ecology of fear alters behaviour of grizzly bears exposed to bear-viewing ecotourism

Open the record for dataset details and reuse information.

publicApr 2024View details →
zenodo36/100

Survey data linked to the article "The role of wildlife in driving ecotourism and visitor satisfaction on the Osa Peninsula of Costa Rica: The Lapa Rios case".

<p>Questionnaire responses obtained from 46 visitors of Lapa Rios Ecolodge in the Osa Peninsula, Costa Rica, from Aug 2017 to Aug 2018; also included question key.</p>

opencc-by-4.0Nov 2019View details →
zenodo36/100

Data and R script: Ecotourism impacts on reef fishes in a marine reserve during the COVID-19 era

<p>Raw data and R code necessary to reproduce the results of the paper entitled &quot;Ecotourism impacts on reef fishes in a marine reserve during the COVID-19 era&quot; published in Frontiers in Ecology and the Environment.</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Fig. 2 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 2. Image illustrating tourists at the beginning of the snorkeling excursion (Lima, 2008).

opencc-by-4.0Mar 2014View details →
dryad36/100

Where do Gyps fulvus (Griffon Vultures) feed? Combining biologging with socio-economic analysis can guide sustainable ecotourism development

Open the record for dataset details and reuse information.

publicJul 2025View details →
zenodo32/100

Temporal overlays of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and network for VOSViewer visualization

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Geographical overlays of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and network for VOSViewer visualization

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Base outline of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and Network for VOSViewer visualization

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Using ecotourism boats for estimating the abundance of a bottlenose dolphin population in south-eastern Australia

<p>Excel spread sheets &quot;bd_CRM_input&quot; and &quot;soc_analysis&quot; containing the input data for the capture-recapture models of population abundance and social analysis, respectively, of bottlenose dolphins in Port Phillip Bay, south-eastern Australia.</p>

opencc-by-4.0Apr 2023View details →
zenodo28/100

Supplementary material 1 from: D'Cruze N, Machado F, Matthews N, Balaskas M, Carder G, Richardson V, Vieto R (2017) A review of wildlife ecotourism in Manaus, Brazil. Nature Conservation 22: 1-16. https://doi.org/10.3897/natureconservation.22.17369

Relevant Legislation : Data type: Table

opencc-zeroJan 2018View details →
zenodo28/100

Fig. 10 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 10. Temporal variation (mean and SEM) of cortisol levels in holding-water Moenkhausia bonita challenged with an intra-peritoneal injection of porcine ACTH. Triangles, darker line = ACTH; squares, lighter line = RINGER (control).

opencc-by-4.0Mar 2014View details →
zenodo28/100

Fig. 5 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 5. Variation of behaviour patterns between No Tourism and Tourism sites for Crenicichla lepidota (mean and SEM); (a) Feeding; (b) Agonistic activity; (c) Escape behaviour. Lighter bars = No Tourism site; darker bars = Tourism site. (Mann-Whitney U-test). N= 35; * p &lt;0.05; ** p &lt;0.01; ***p &lt;0.0001.

opencc-by-4.0Mar 2014View details →
zenodo28/100

Fig. 6 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 6. Variation of behaviour patterns between before (8h00) and after (9h00) the first disturbance of tourists in the river (mean and SEM) for Crenicichla lepidota. (a) Tourism; (b) No Tourism. Lighter bars = 8h00; darker bars = 9h00 (Mann-Whitney U-test). N = 35; *p &lt;0.05; **p &lt;0.01;***p &lt;0.0001.

opencc-by-4.0Mar 2014View details →
zenodo28/100

Fig. 7 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 7. Variation of behaviour patterns between No Tourism and Tourism site for M. bonita (mean and SEM); (a) Feeding; (b) Escape. Lighter bars = No Tourism; darker bars = Tourism. (Mann -Whitney U-test). N= 70; *p &lt;0.05; **p &lt;0.01; ***p &lt;0.0001.

opencc-by-4.0Mar 2014View details →
zenodo28/100

Fig. 4 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures

Fig. 4. Multidimensional scaling ordinations showing local differences in (a) No Tourism site and (b) Tourism site. Each individual point represents a replicate sample (census). Circles = No Tourism site; Triangles = Tourism site.

opencc-by-4.0Mar 2014View details →

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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.

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