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- Data for: Barriers to sustainable urban stormwater management in developing countries: The case of BrazilThese are the raw data of a literature review about barriers to the adoption of sustainable urban stormwater management.
- Dataset
- Data for: Half-Length and the FACT Framework: Distance-Decay and Citizen Opposition to Energy FacilitiesReplication data for Half-Length and the FACT Framework: Distance-Decay and Citizen Opposition to Energy Facilities
- Dataset
- Data for: Land and water footprints associated with rice and maize losses in BrazilFood loss and waste (FLW) implies loss of valuable natural resources and, consequently, has a negative impact on economic, environmental and social issues globally. Brazil, as a prominent world food producer, presents high levels of food losses and, hence, loss/waste of natural resources. This study aims to estimate the amount of land and water footprints associated with rice and maize losses in Brazil. The investigation involved the analysis of annual data obtained from the Food and Agriculture Organization of the United Nations (FAO) and the Brazilian Institute for Geography and Statistics (IBGE) regarding planted area, harvest area, production and loss of rice and maize in Brazil from 1988 to 2017, in order to estimate the amount of land and water footprints of rice and maize losses. Rice loss in Brazil is responsible for an average annual land footprint (LF) of 400 thousand hectares with a negative trend (slope) of 13.8 thousand hectares per year, while maize loss in Brazil is responsible for an average annual LF of 1.26 million hectares with a negative trend (slope) of 7.9 thousand hectares per year. The average annual LF of rice loss is about 11.46% of rice planted area, and the average annual LF of maize loss is about 9.34% of maize planted area in Brazil. Rice loss is associated with an average annual water footprint (WF) of 3.06 billion m3, while maize loss is associated with an average annual WF of 7.37 billion m3. The average annual WF per hectare of planted area for maize and rice losses is 533 m3/ha and 949 m3/ha, respectively. The results reinforce the need for promoting actions to drastically reduce FLW worldwide. This study encourages more drastic public policies to be adopted in order to reduce FLW and, consequently, the waste of natural resources and environmental impacts.
- Dataset
- Data for: A socio-economic exploration of landholder motivations to participate in afforestation programs in the Republic of Ireland: The role of irreversibility, inheritance and bequest value.Response data from postal survey of Irish farmers regarding a) their decision to participate in forestry programs and b) the extent of their planting if they have participated.
- Dataset
- Data for: Territorial differences in agricultural investments co-financed by the European Union in PolandData concerning agriculture, agricultural investments and local development in Polish communes.
- Dataset
- Data for: A Benefit Evaluation Model for Construction Land Use in Megacity Suburban DistrictsBenefit evaluation results of the case city for construction land use in megacity suburban districts
- Dataset
- Data for: Land-cover and land-use dynamics in an agricultural frontier region in Brazil based on statistical methods applied to the visual interpretation of Landsat images from 1985 to 2017Supplementary material - Tables and Figures
- Dataset
- Data for: Land-cover and land-use dynamics in an agricultural frontier region in Brazil based on statistical methods applied to the visual interpretation of Landsat images from 1985 to 2017This worksheet contains the results of the visual inspection, from 1985 to 2017, of Landsat Images for the 15058 pixels drawn by means of random sampling stratified by municipalities for the state of Goiás. The classes inspected were Pasture, Annual crops, Perennial Farming, Sugarcane, Tree Plantation, Water, Urban, Other.
- Dataset
- Data for: Can process-based modelling and economic valuation of ecosystem services inform land management policy at a catchment scale?Supplementary data providing economic calculations for flood alleviation and carbon sequestration.
- Dataset
- Mobile phone data-extracted daily activities of rural residents in Chengdu, ChinaThis dataset contains the characteristics of rural residents' daily activities in Chengdu, China, extracted from the mobile phone locations produced by China Unicom between April 12 and 18, 2017. The characteristics of daily activities are evaluated by grids of 1000m*1000m. The whole city is divided into 14,856 grids. The characteristics include the number of distinct destination grids visited by the residents of a grid (diversity), the average number of activities/movements conducted by the residents of a grid (number), and the standard distances of work and nonwork activities conducted by the residents of a grid. For privacy, the information of grids where less than ten residents are identified is omitted. We also include the centroid coordinates, distance to the Chengdu city, average slope, and proportion of urban workers of each grid.
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