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      Predation risk is a function of seasonality rather than habitat complexity in a tropical semiarid forest

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          Abstract

          Predator–prey dynamics are some of the most important species’ interactions in the natural structuring of communities, and are among the more complex ecological processes studied by ecologists. We measured predation risk using artificial lizard replicas to test two competing hypotheses regarding predation pressure in semi-arid environments: (1) predation risk is dependent on the habitat structural complexity; and (2) predation risk is dependent on seasonality. We placed 960 lizard replicas along three sites with different physical structures and in both dry and rainy seasons for seven consecutive days in a caatinga area in northeastern Brazil at Grota do Angico Natural Monument (GANM). Birds were responsible for the majority of attacks and more frequently on artificial lizards placed in trees. Attacks focused on the most vulnerable areas of the body (head and torso), proving that were perceived by predators as true prey items. We found that predation risk is not dependent on the habitat structural complexity, but rather dependent on the caatinga seasonality, with the overall attack rate being 19% higher in the dry season. Our study suggests that potential predation risk is highly context-dependent and that seasonality consistently drives of trophic interactions strength in the caatinga, an important ecological finding that could contribute to better understanding the complex evolution of predator–prey interactions within communities of animals living in different habitats.

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          Nest Predation in Forest Tracts and the Decline of Migratory Songbirds

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            Higher predation risk for insect prey at low latitudes and elevations.

            Biotic interactions underlie ecosystem structure and function, but predicting interaction outcomes is difficult. We tested the hypothesis that biotic interaction strength increases toward the equator, using a global experiment with model caterpillars to measure predation risk. Across an 11,660-kilometer latitudinal gradient spanning six continents, we found increasing predation toward the equator, with a parallel pattern of increasing predation toward lower elevations. Patterns across both latitude and elevation were driven by arthropod predators, with no systematic trend in attack rates by birds or mammals. These matching gradients at global and regional scales suggest consistent drivers of biotic interaction strength, a finding that needs to be integrated into general theories of herbivory, community organization, and life-history evolution.
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              The contribution of artificial nest experiments to understanding avian reproductive success: a review of methods and conclusions

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                Author and article information

                Contributors
                anthonyyferreira@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 August 2021
                17 August 2021
                2021
                : 11
                : 16670
                Affiliations
                [1 ]GRID grid.411252.1, ISNI 0000 0001 2285 6801, Programa de Pós-Graduação Em Ecologia E Conservação, , Universidade Federal de Sergipe - UFS, ; São Cristóvão, Sergipe 49100-000 Brazil
                [2 ]GRID grid.419220.c, ISNI 0000 0004 0427 0577, Programa de Capacitação Institucional, , Instituto Nacional de Pesquisas da Amazônia - INPA, ; Manaus, Amazonas 69067-375 Brazil
                [3 ]GRID grid.411252.1, ISNI 0000 0001 2285 6801, Departamento de Biologia, , Universidade Federal de Sergipe - UFS, ; São Cristóvão, Sergipe 49100-000 Brazil
                Author information
                https://orcid.org/0000-0002-3718-8049
                https://orcid.org/0000-0003-4105-3048
                Article
                96216
                10.1038/s41598-021-96216-8
                8371019
                34404872
                f4828081-53ea-49c5-92ea-938a787ac2ae
                © 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/.

                History
                : 15 June 2021
                : 6 August 2021
                Categories
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                © The Author(s) 2021

                Uncategorized
                behavioural ecology,ecological networks,ecology,environmental sciences
                Uncategorized
                behavioural ecology, ecological networks, ecology, environmental sciences

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