Human density and sampling time explain richness of anurans in the brazilian biomes
Anuran richness patterns are strongly influenced by environmental factors. However, investigations on this issue have focused on the influence of abiotic factors without considering the joint effect of many existing variables, including the data sampling methodology and human demography. In this stu...
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| Format: | Article |
| Language: | English |
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Universidad Nacional de Colombia
2021-06-01
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| Series: | Caldasia |
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| Online Access: | https://revistas.unal.edu.co/index.php/cal/article/view/86114/79915 |
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| author | Arielson dos Santos Protázio Lennise Costa Conceição Airan dos Santos Protázio |
| author_facet | Arielson dos Santos Protázio Lennise Costa Conceição Airan dos Santos Protázio |
| author_sort | Arielson dos Santos Protázio |
| collection | DOAJ |
| description | Anuran richness patterns are strongly influenced by environmental factors. However, investigations on this issue have focused on the influence of abiotic factors without considering the joint effect of many existing variables, including the data sampling methodology and human demography. In this study we investigated the relationship between 21 environmental variables and anuran richness in brazilian biomes. Environmental variables represent a combination of human demographics, topographic, cli-matic and vegetation characteristics, and data sampling methodologies. We used principal component factorization and regressive and autoregressive models to select the most relevant variables for ex-plaining anuran richness. Richness was correlated with demographic density, vegetation, accumulated rainfall, accumulated rainfall in the third and fourth quarter of the year, and accumulated rainfall in the first and second half of the year. However, the regressive and autoregressive models showed that human demographic density, sampling time, and sampling methodology were the best predictors of anuran richness. Our results highlight the importance of considering the effects of the human footprint and the methodology used for data collection on anuran species richness. |
| format | Article |
| id | doaj-art-72c4c01583da4c71828222e7130cd9a8 |
| institution | DOAJ |
| issn | 0366-5232 2357-3759 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Universidad Nacional de Colombia |
| record_format | Article |
| series | Caldasia |
| spelling | doaj-art-72c4c01583da4c71828222e7130cd9a82025-08-20T03:10:59ZengUniversidad Nacional de ColombiaCaldasia0366-52322357-37592021-06-01442408420https://doi.org/10.15446/caldasia.v44n2.86114Human density and sampling time explain richness of anurans in the brazilian biomesArielson dos Santos Protázio0https://orcid.org/0000-0002-1709-1063Lennise Costa Conceição1https://orcid.org/0000-0003-0506-0160Airan dos Santos Protázio2https://orcid.org/0000-0003-1864-6574Universidade Federal do Recôncavo da BahiaUniversidade Federal do Recôncavo da BahiaInstituto Federal de EducaçãoAnuran richness patterns are strongly influenced by environmental factors. However, investigations on this issue have focused on the influence of abiotic factors without considering the joint effect of many existing variables, including the data sampling methodology and human demography. In this study we investigated the relationship between 21 environmental variables and anuran richness in brazilian biomes. Environmental variables represent a combination of human demographics, topographic, cli-matic and vegetation characteristics, and data sampling methodologies. We used principal component factorization and regressive and autoregressive models to select the most relevant variables for ex-plaining anuran richness. Richness was correlated with demographic density, vegetation, accumulated rainfall, accumulated rainfall in the third and fourth quarter of the year, and accumulated rainfall in the first and second half of the year. However, the regressive and autoregressive models showed that human demographic density, sampling time, and sampling methodology were the best predictors of anuran richness. Our results highlight the importance of considering the effects of the human footprint and the methodology used for data collection on anuran species richness. https://revistas.unal.edu.co/index.php/cal/article/view/86114/79915amphibianclimatedemographydiversityhuman footprint |
| spellingShingle | Arielson dos Santos Protázio Lennise Costa Conceição Airan dos Santos Protázio Human density and sampling time explain richness of anurans in the brazilian biomes Caldasia amphibian climate demography diversity human footprint |
| title | Human density and sampling time explain richness of anurans in the brazilian biomes |
| title_full | Human density and sampling time explain richness of anurans in the brazilian biomes |
| title_fullStr | Human density and sampling time explain richness of anurans in the brazilian biomes |
| title_full_unstemmed | Human density and sampling time explain richness of anurans in the brazilian biomes |
| title_short | Human density and sampling time explain richness of anurans in the brazilian biomes |
| title_sort | human density and sampling time explain richness of anurans in the brazilian biomes |
| topic | amphibian climate demography diversity human footprint |
| url | https://revistas.unal.edu.co/index.php/cal/article/view/86114/79915 |
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