We analysed Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data on the areas damaged by the Iwate–Miyagi Nairiku earthquake that struck Japan in 2008. The observations before and after the earthquake have been carried out in the full polarimetric mode. We observed the dominance of surface scattering of the three-component scattering model in the landslide areas and identified 11 of the 13 landslide areas. However, we also detected vacant pieces of land, pastures and other land bodies.
This study was carried out to determine the impacts of climate change on aridity and land cover in Turkey. Data for future (2070s) climate change, according to present conditions (1990s), were estimated from the prediction results of a regional climate model (RCM). The RCM, which was developed in Japan, is based on the MRI model. The potential impacts of climate change were estimated according to the A2 scenario of Special Report on Emissions Scenarios (SRES).
This paper examines the impact of farmland readjustment projects on farmland use and structural adjustment in Niigata, Japan. We use census data of rural communities for 1990 and 2000 to conduct pooled regression, first-difference, difference-in-differences, and propensity score matching estimations. We find positive impact of farmland readjustment projects in alleviating farmland abandonment and in facilitating outsourcing of agricultural works and farmland rental.
In the light of the Japanese government's intensive efforts to decontaminate areas affected by radioactive Caesium from Fukushima dai-ichi nuclear power plant, I create a framework for assessing the merits of management options. In particular I consider delayed intervention as a possible policy. Delay can be optimal because allowing the natural decay of radiation can lower significantly the costs of achieving targets for exposure. Using some benchmark data for Japan I estimate that optimal delay is positive for most reasonable parameter values.
When pasture land is abandoned, there are, in many cases, inhibitory factors that slow the rate of transition to a natural vegetation. Accordingly, the planned management of restoration has become an important issue in various parts of the world, where environmental conditions can vary widely. Although tree plantations are widely used as a management tool for restoration, there have been few studies addressing the practical aspects of the procedure.
This study investigates the optimal agricultural land use allocation and nitrogen application to arepresentative Japanese farm. The site-specific nature of numerous agri-environmental issues necessitates analysis ata disaggregated level in order to capture the underlying heterogeneity of agricultural productivity and environmentalsensitivity across different parcels of land.
Hokkaido Island is located in the cool temperate zone, and its climate conditions facilitated the formation of a variety of wetland types, the majority of them peat-forming mires. Most of these remained in a natural state until the early 20th century. However, drainage and subsequent conversion mostly to agricultural land have since destroyed more than 70% of the original wetland ecosystems.
Spatially land use models are indispensable for sustainable land use planning. This study demonstrates a combined Markov–Cellular Automata model to analyze temporal change and spatial distribution of land use stressed by natural and socioeconomic factors in Saga, Japan. Firstly, area change and spatial distribution of land use are calculated using GIS technology, and then the transition among different land use types is analyzed to obtain the transformation matrices during a period of 1976–2006.
The habitats of aquatic organisms, including freshwater fishes (Oncorhynchus masou masou, Plecoglossus altivelis altivel, and Cyprinus carpio), fireflies (Luciola cruciata and Luciola lateralis), and frogs (Anura sp.), were evaluated dynamically in the Natori River basin in the central Miyagi prefecture in Japan using water temperature as an environmental index.