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Ecological dissimilarity among land-use/land-cover types improves a heterogeneity index for predicting biodiversity in agricultural landscapes

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Abstract

Land-use/land-cover heterogeneity is among the most important factors influencing biodiversity in agricultural landscapes and is the key to the conservation of multi-habitat dwellers that use both terrestrial and aquatic habitats. Heterogeneity indices based on land-use/land-cover maps typically do not integrate ecological dissimilarity between land-use/land-cover types. Here, we applied the concept of functional diversity to an existing land-use/land-cover diversity index (Satoyama index) to incorporate ecological dissimilarity and proposed a new index called the dissimilarity-based Satoyama index (DSI). Using Japan as a case study, we calculated the DSI for three land-use/land-cover maps with different spatial resolutions and derived similarity information from normalized difference vegetation index values. The DSI showed better performance in the prediction of Japanese damselfly species richness than that of the existing index, and a higher correlation between the index and species richness was obtained for higher resolution maps. Thus, our approach to improve the land-use/land-cover diversity index holds promise for future development and can be effective for conservation and monitoring efforts.

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Acknowledgements

We would like to thank Dr. Ogawa M, Dr. Ishihama F, and Ms. Matsuzaki S for providing data and information on the land-use/land-cover map in Ogawa et al. (2013). We also appreciate two anonymous reviewers for thoughtful comments, which greatly improved this manuscript. The GLCNMO2003 and GLCNMO2008 maps were retrieved from International Steering Committee for Global Mapping at http://www.iscgm.org/gm/glcnmo.html (accessed August 3, 2015). The MODIS 13Q1 data products were retrieved from the online Data Pool, courtesy of the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/data_access/data_pool (accessed August 3, 2015). This study was funded by Japan Society for the Promotion of Science (grant ID: 25740047 and 26292181).

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Authors and Affiliations

  1. Fukushima Branch, National Institute for Environmental Studies, 10-2 Fukasaku, Miharu, Fukushima, 963-7700, Japan

    Akira Yoshioka

  2. Center for Environmental Biology and Ecosystem Studies, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan

    Keita Fukasawa, Yoshio Mishima & Taku Kadoya

  3. Department of Animal Ecology and Systematics, Justus Liebig University Giessen, Heinrich-Buff Ring 26-32, Giessen, 35392, Germany

    Keiko Sasaki

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  1. Akira Yoshioka
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  2. Keita Fukasawa
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Correspondence to Akira Yoshioka.

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Yoshioka, A., Fukasawa, K., Mishima, Y. et al. Ecological dissimilarity among land-use/land-cover types improves a heterogeneity index for predicting biodiversity in agricultural landscapes. Ambio 46, 894–906 (2017). https://doi.org/10.1007/s13280-017-0925-7

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