TY - JOUR
T1 - Using food network unfolding to evaluate food–web complexity in terms of biodiversity
T2 - theory and applications
AU - Kato, Yoshikazu
AU - Kondoh, Michio
AU - Ishikawa, Naoto F.
AU - Togashi, Hiroyuki
AU - Kohmatsu, Yukihiro
AU - Yoshimura, Mayumi
AU - Yoshimizu, Chikage
AU - Haraguchi, Takashi F.
AU - Osada, Yutaka
AU - Ohte, Nobuhito
AU - Tokuchi, Naoko
AU - Okuda, Noboru
AU - Miki, Takeshi
AU - Tayasu, Ichiro
N1 - Funding Information:
We thank Masayuki Itoh, Ken’ichi Osaka and Hikaru Nak-agawa for their support in field sampling. We also appreciate Sanko Forestry Ltd. for allowing us to conduct research on their property and for providing information related to logging operations. This research was supported by the Environment Research and Technology Development Fund (4D-1102) of the Ministry of the Environment, River Funds (241215022, 251263018, 251263021) from the River Foundation, Japan Science and Technology Agency CREST Grant (JPMJCR13A3), and Japan Society for the Promotion of Science KAKENHI grants (25291101, 25660120, 16H02524).
Publisher Copyright:
© 2018 John Wiley & Sons Ltd/CNRS
PY - 2018/7
Y1 - 2018/7
N2 - Food–web complexity often hinders disentangling functionally relevant aspects of food–web structure and its relationships to biodiversity. Here, we present a theoretical framework to evaluate food–web complexity in terms of biodiversity. Food network unfolding is a theoretical method to transform a complex food web into a linear food chain based on ecosystem processes. Based on this method, we can define three biodiversity indices, horizontal diversity (DH), vertical diversity (DV) and range diversity (DR), which are associated with the species diversity within each trophic level, diversity of trophic levels, and diversity in resource use, respectively. These indices are related to Shannon's diversity index (H′), where H′ = DH + DV − DR. Application of the framework to three riverine macroinvertebrate communities revealed that D indices, calculated from biomass and stable isotope features, captured well the anthropogenic, seasonal, or other within-site changes in food–web structures that could not be captured with H′ alone.
AB - Food–web complexity often hinders disentangling functionally relevant aspects of food–web structure and its relationships to biodiversity. Here, we present a theoretical framework to evaluate food–web complexity in terms of biodiversity. Food network unfolding is a theoretical method to transform a complex food web into a linear food chain based on ecosystem processes. Based on this method, we can define three biodiversity indices, horizontal diversity (DH), vertical diversity (DV) and range diversity (DR), which are associated with the species diversity within each trophic level, diversity of trophic levels, and diversity in resource use, respectively. These indices are related to Shannon's diversity index (H′), where H′ = DH + DV − DR. Application of the framework to three riverine macroinvertebrate communities revealed that D indices, calculated from biomass and stable isotope features, captured well the anthropogenic, seasonal, or other within-site changes in food–web structures that could not be captured with H′ alone.
KW - Carbon and nitrogen stable isotope ratio
KW - ecosystem functioning
KW - food network unfolding
KW - species diversity
KW - trophic level
KW - trophic position
KW - trophic pyramid
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U2 - 10.1111/ele.12973
DO - 10.1111/ele.12973
M3 - Letter
C2 - 29774660
AN - SCOPUS:85047487776
SN - 1461-023X
VL - 21
SP - 1065
EP - 1074
JO - Ecology Letters
JF - Ecology Letters
IS - 7
ER -