Cargando…
The power of community science to quantify ecological interactions in cities
Studying animals in urban environments is especially challenging because much of the area is private property not easily accessible to professional scientists. In addition, collecting data on animals that are cryptic, secretive, or rare is also challenging due to the time and resources needed to ama...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862361/ https://www.ncbi.nlm.nih.gov/pubmed/33542360 http://dx.doi.org/10.1038/s41598-021-82491-y |
_version_ | 1783647274262331392 |
---|---|
author | Putman, Breanna J. Williams, Riley Li, Enjie Pauly, Gregory B. |
author_facet | Putman, Breanna J. Williams, Riley Li, Enjie Pauly, Gregory B. |
author_sort | Putman, Breanna J. |
collection | PubMed |
description | Studying animals in urban environments is especially challenging because much of the area is private property not easily accessible to professional scientists. In addition, collecting data on animals that are cryptic, secretive, or rare is also challenging due to the time and resources needed to amass an adequate dataset. Here, we show that community science can be a powerful tool to overcome these challenges. We used observations submitted to the community science platform iNaturalist to assess predation and parasitism across urbanization gradients in a secretive, ‘hard-to-study’ species, the Southern Alligator Lizard (Elgaria multicarinata). From photographs, we quantified predation risk by assessing tail injuries and quantified parasitism by counting tick loads on lizards. We found that tail injuries increased with age and with urbanization, suggesting that urban areas are risky habitats. Conversely, parasitism decreased with urbanization likely due to a loss of hosts and anti-tick medications used on human companion animals. This community science approach generated a large dataset on a secretive species rapidly and at an immense spatial scale that facilitated quantitative measures of urbanization (e.g. percent impervious surface cover) as opposed to qualitative measures (e.g. urban vs. rural). We therefore demonstrate that community science can help resolve ecological questions that otherwise would be difficult to address. |
format | Online Article Text |
id | pubmed-7862361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78623612021-02-05 The power of community science to quantify ecological interactions in cities Putman, Breanna J. Williams, Riley Li, Enjie Pauly, Gregory B. Sci Rep Article Studying animals in urban environments is especially challenging because much of the area is private property not easily accessible to professional scientists. In addition, collecting data on animals that are cryptic, secretive, or rare is also challenging due to the time and resources needed to amass an adequate dataset. Here, we show that community science can be a powerful tool to overcome these challenges. We used observations submitted to the community science platform iNaturalist to assess predation and parasitism across urbanization gradients in a secretive, ‘hard-to-study’ species, the Southern Alligator Lizard (Elgaria multicarinata). From photographs, we quantified predation risk by assessing tail injuries and quantified parasitism by counting tick loads on lizards. We found that tail injuries increased with age and with urbanization, suggesting that urban areas are risky habitats. Conversely, parasitism decreased with urbanization likely due to a loss of hosts and anti-tick medications used on human companion animals. This community science approach generated a large dataset on a secretive species rapidly and at an immense spatial scale that facilitated quantitative measures of urbanization (e.g. percent impervious surface cover) as opposed to qualitative measures (e.g. urban vs. rural). We therefore demonstrate that community science can help resolve ecological questions that otherwise would be difficult to address. Nature Publishing Group UK 2021-02-04 /pmc/articles/PMC7862361/ /pubmed/33542360 http://dx.doi.org/10.1038/s41598-021-82491-y Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Putman, Breanna J. Williams, Riley Li, Enjie Pauly, Gregory B. The power of community science to quantify ecological interactions in cities |
title | The power of community science to quantify ecological interactions in cities |
title_full | The power of community science to quantify ecological interactions in cities |
title_fullStr | The power of community science to quantify ecological interactions in cities |
title_full_unstemmed | The power of community science to quantify ecological interactions in cities |
title_short | The power of community science to quantify ecological interactions in cities |
title_sort | power of community science to quantify ecological interactions in cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862361/ https://www.ncbi.nlm.nih.gov/pubmed/33542360 http://dx.doi.org/10.1038/s41598-021-82491-y |
work_keys_str_mv | AT putmanbreannaj thepowerofcommunitysciencetoquantifyecologicalinteractionsincities AT williamsriley thepowerofcommunitysciencetoquantifyecologicalinteractionsincities AT lienjie thepowerofcommunitysciencetoquantifyecologicalinteractionsincities AT paulygregoryb thepowerofcommunitysciencetoquantifyecologicalinteractionsincities AT putmanbreannaj powerofcommunitysciencetoquantifyecologicalinteractionsincities AT williamsriley powerofcommunitysciencetoquantifyecologicalinteractionsincities AT lienjie powerofcommunitysciencetoquantifyecologicalinteractionsincities AT paulygregoryb powerofcommunitysciencetoquantifyecologicalinteractionsincities |