e-journal

Finding generality in ecology: a model for globally distributed experiments

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1. Advancing the field of ecology relies on understanding generalities and developing theories based on empirical
and functional relationships that integrate across organismal to global spatial scales and span temporal scales.
Significant advances in predicting responses of ecological communities to globally extensive anthropogenic perturbations,for example, require understanding the role of environmental context in determining outcomes,
which in turn requires standardized experiments across sites and regions. Distributed collaborative experiments
can lead to high-impact advances that would otherwise be unachievable.
2. Here, we provide specific advice and considerations relevant to researchers interested in employing this emerging
approach using as a case study our experience developing and running the Nutrient Network, a globally distributed
experimental network (currently >75 sites in 17 countries) that arose from a grassroots, cooperative
research effort.
3. We clarify the design, goals and function of the Nutrient Network as a model to empower others in the scientific
community to employ distributed experiments to advance our predictive understanding of global-scale
ecological trends and responses.
4. Our experiences to date demonstrate that globally distributed experimental science need not be prohibitively
expensive or time-consuming on a per capita basis and is not limited to senior scientists or countries where science
is well funded. While distributed experiments are not a panacea for understanding ecological systems, they can
substantially complement existing approaches.

Key-words: collaborative experimental network, distributed experiment, meta-analysis, metadata,
Nutrient Network, relational data base

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Ketersediaan

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Informasi Detail

Judul Seri

Methods in Ecology and Evolution

No. Panggil

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Penerbit

: British Ecological Society., 2014

Deskripsi Fisik

Methods in Ecology and Evolution 2014, 5, 65–73

Bahasa

English

ISBN/ISSN

doi: 10.1111/2041-21

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

BIOLOGI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Wati/Agus

Versi lain/terkait

Lampiran Berkas

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