Alpine birds in a sky island: Resource subsidies from foothill areas

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2025-02-24 DOI:10.1002/ecy.70037
Daichi Iijima, Masashi Murakami
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引用次数: 0

Abstract

Material fluxes between ecosystems subsidize consumers in recipient ecosystems. While alpine zones are generally regarded as isolated, arthropods from lower elevations may be deposited on the snow surface in alpine zones by flight or wind. This arthropod fallout should be essential food resources for alpine consumers that are forced to deal with scarce food in environments. In this study, the source location of arthropods that fell onto the alpine snowpack was examined using data of their host plants. Furthermore, seasonal changes in the arthropod diets of two insectivorous and one primarily herbivorous alpine bird species were evaluated by fecal DNA metabarcoding with correction of PCR amplification bias among arthropod taxa using DNA mock assemblages of arthropods. We present quantitative evidence that winged aphids originating from the subalpine and montane zones are abundant on the snowpack. These subsidized aphids accounted for approximately 40% of the arthropod portion of the diet, and 6%–40% of the overall diet, of these birds during their early breeding seasons. Our findings indicate that material fluxes from foothill areas contribute to the maintenance of biotic communities in alpine ecosystems during less productive seasons.

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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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