A social media-based framework for quantifying temporal changes to wildlife viewing intensity-Reference-Cited by-同舟云学术

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A social media-based framework for quantifying temporal changes to wildlife viewing intensity

Published:2023-02 Issue: Volume:476 Page:110223
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Papafitsoros Kostas^ORCID,Adam Lukáš,Schofield Gail

Publisher

Elsevier BV

Subject

Ecological Modeling

Reference47 articles.

1. Identifying temporal patterns of visitors to national parks through geotagged photographs;Barros;Sustainability,2019

2. Global COVID-19 lockdown highlights humans as both threats and custodians of the environment;Bates;Biol. Cons.,2021

3. Sharing the small moments: ephemeral social interaction on Snapchat;Bayer;Inf. Commun. Soc.,2016

4. Impacts of multiple stressors on freshwater biota across spatial scales and ecosystems;Birk;Nat. Ecol. Evol.,2020

5. Effects of non-consumptive wildlife-oriented tourism on marine species and prospects for their sustainable management;Burgin;J. Environ. Manag.,2015

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Over 30 years of monitoring and implementing the Bern Convention's recommendations for the protection of Mediterranean sea turtles;Marine Policy;2024-10

2. Passive citizen science: social media as a tool for marine wildlife observation;Marine Ecology Progress Series;2024-07-25

3. The impact of climate change on sea turtles: Current knowledge, scientometrics, and mitigation strategies;Science of The Total Environment;2024-05

4. Underreported in-water behaviours of the loggerhead sea turtle:Foraging on sea cucumbers;2023-03-27

5. Manatee watching is widespread and seasonally affected in Northeast Brazil: a case of the Endangered Trichechus manatus manatus (Sirenia: Trichechidae);Nature Conservation Research;2023

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