Map List

On this map, the occurrence data were formatted with Darwin Core and environmental polygon data provided by the Biodiversity Division, National Institute for Environmental Studies (NIES). Data can be filtered by datasets, taxon, prefectures, presence/absence, and periods. The Darwin Core Archive (ZIP format) can be downloaded in the dataset units. Please refer to related websites and data papers shown on the metadata for details about each dataset.

On this map you can search the camera trap survey data for mammals inside and outside the evacuation zone designated after the Fukushima Daiichi power plant accident. The capture rate (=number of captures/days of camera survey) calculated from the data extracted by species name and duration is plotted on the map. The evacuation zones as of the 1st of January and as of the 1st of each month are used for yearly and monthly data, respectively. This survey was conducted as a part of Research for Impacts on Organisms and Ecosystem in Environmental Recovery Research Program, NIES.

Georeferenced occurrence data in Asian countries on GBIF are shown on the map using color tone of GBIF Maps API. The number of occurrence records including non-georeferenced data is displayed next to the map.

Georeferenced occurrence data of taxonomic groups on GBIF are shown on the map using color tone of GBIF Maps API. The number of occurrence records including non-georeferenced data is displayed next to the map.

Search by scientific name against the GBIF backbone taxonomy using GBIF species API by prefix matching. Up to 20 candidates are shown. The number of occurrence records including non-georeferenced data on GBIF is displayed in the list. You can map georeferenced occurrence data of each species using color tone of GBIF Maps API.

Acoustic monitoring of avian assemblage in and around the evacuation area of Fukushima Daiichi nuclear power plant accident.

Here, land use data that can be used to estimate biodiversity on a national scale have been provided. It was constructed by integrating and standardizing the vegetation survey data of the National Survey on the Natural Environment, which was conducted from 1988 to 1998 by the Ministry of the Environment, Japan. The map at NIES's Environmental GIS (Kankyo-GIS) can be seen.

A database that calculates the heterogeneity of land use (called the "Satoyama Index") for evaluating biodiversity in agricultural landscapes from the Japan national standard land use mesh data. The map at NIES's Environmental GIS (Kankyo-GIS) can be seen.

We developed a machine-learning model to predict future land use from population density and topography with resolution of 1 square km and projected land use maps until 2050 under population centralization and decentralization scenarios. Model projections indicated that concentration of urban area and expansion of forest and wasteland in rural area will occur under population centralization scenario. Inversely, mosaic landscape with forest and agricultural land will remain under population decentralization scenario.