Viewing Collection: indicators

{
  "indicator": {
    "label": "Forest area annual net change rate",
    "description": "The data series presented here measures the forest area net change rate (%). This data series contributes to the measurement of SDG Indicator 15.2.1, classified as Tier Iin September 2018, which is officially defined as follows: Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas shows temporal trends in the mean percentage of each important site for terrestrial and freshwater biodiversity (i.e., those that contribute significantly to the global persistence of biodiversity) that is covered by designated protected areas. It is important to mention that SDG indicator 15.2.1: SDG indicator 15.2.1 is composed of five sub-indicators that measure progress towards all dimensions of sustainable forestmanagement. The environmental values of forests are covered by three sub-indicators focused on the extension of forest area, biomass within the forest area and protection and maintenance of biological diversity, and of natural and associated cultural resources. Social and economic values of forests are reconciled with environmental values through sustainable management plans. The subindicator provides further qualification to the management of forest areas, by assessing areas which are independently verified for compliance with a set of national or international standards. The SDG indicator 15.2.1is composed of fivesub-indicators: Forest area annual net change rate Above-ground biomass stock in forest Proportion of forest area located within legally established protect areas Proportion of forest area under a long term forest management plan Forest area under an independently verified forest management certification scheme According to Food and Agriculture Organization of the United Nations (FAO)-- the Custodian Agencyfor this indicator -- the rationale behind the forest area annual net change rate can be summarised as follows: Trends in forest area are crucial for monitoring SFM. The first sub-indicator focuses on both the direction of change (whether there is a loss or gain in forest area) and how the change rate is changing over time; the latter is important in order to capture progress among countries that are losing forest area, but have managed to reduce the rate of annual forest area loss. The full official metadata for this Tier I indicator are available at UN SDG Metadata website. For more information on this data series, please visit UN SDG website. ",
    "id": "UN-AG_LND_FRSTCHG",
    "dataset": "UN-SDG_15.2.1",
    "measurement_unit": "Percentage (%)",
    "picture": "",
    "related_landvoc_concepts": "forest land;environment;climate change;forest conservation;forest management plans;",
    "related_themes": "Forest Landscape Restoration;Forest Tenure;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UN-AG_LND_FRSTCHG"
}

{
  "indicator": {
    "label": "Proportion of forest area under a long term forest management plan",
    "description": "The data series presented here measures the proportion of forest area with a long-term management plan. This data series contributes to the measurement of SDG Indicator 15.2.1, classified as Tier Iin September 2018, which is officially defined as follows: Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas shows temporal trends in the mean percentage of each important site for terrestrial and freshwater biodiversity (i.e., those that contribute significantly to the global persistence of biodiversity) that is covered by designated protected areas. It is important to mention that SDG indicator 15.2.1: SDG indicator 15.2.1 is composed of five sub-indicators that measure progress towards all dimensions of sustainable forestmanagement. The environmental values of forests are covered by three sub-indicators focused on the extension of forest area, biomass within the forest area and protection and maintenance of biological diversity, and of natural and associated cultural resources. Social and economic values of forests are reconciled with environmental values through sustainable management plans. The subindicator provides further qualification to the management of forest areas, by assessing areas which are independently verified for compliance with a set of national or international standards. The SDG indicator 15.2.1is composed of fivesub-indicators: Forest area annual net change rate Above-ground biomass stock in forest Proportion of forest area located within legally established protect areas Proportion of forest area under a long term forest management plan Forest area under an independently verified forest management certification scheme According to Food and Agriculture Organization of the United Nations (FAO)-- the Custodian Agencyfor this indicator -- the rationale behind the proportion of forest area with a long-term management plan can be summarised as follows: The fourth sub-indicator looks at the forest area that is under a long term forest management plan. The existence of a documented forest management plan is the basis for long term and sustainable management of the forest resources for a variety of management objectives such as for wood and non-wood forest products, protection of soil and water, biodiversity conservation, social and cultural use, and a combination of two or several of these. An increasing area under forest management plan is therefore an indicator of progress towards sustainable forest management. The full official metadata for this Tier I indicator are available at UN SDG Metadata website. For more information on this data series, please visit UN SDG website. ",
    "id": "UN-AG_LND_FRSTMGT",
    "dataset": "UN-SDG_15.2.1",
    "measurement_unit": "Percentage (%)",
    "picture": "",
    "related_landvoc_concepts": "forest land;environment;climate change;forest conservation;forest management plans;",
    "related_themes": "Forest Landscape Restoration;Forest Tenure;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UN-AG_LND_FRSTMGT"
}

{
  "indicator": {
    "label": "Proportion of forest area located within legally established protect areas",
    "description": "The data series presented here measures the proportion of forest area within legally established protected areas. This data series contributes to the measurement of SDG Indicator 15.2.1, classified as Tier Iin September 2018, which is officially defined as follows: Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas shows temporal trends in the mean percentage of each important site for terrestrial and freshwater biodiversity (i.e., those that contribute significantly to the global persistence of biodiversity) that is covered by designated protected areas. It is important to mention that SDG indicator 15.2.1: SDG indicator 15.2.1 is composed of five sub-indicators that measure progress towards all dimensions of sustainable forestmanagement. The environmental values of forests are covered by three sub-indicators focused on the extension of forest area, biomass within the forest area and protection and maintenance of biological diversity, and of natural and associated cultural resources. Social and economic values of forests are reconciled with environmental values through sustainable management plans. The subindicator provides further qualification to the management of forest areas, by assessing areas which are independently verified for compliance with a set of national or international standards. The SDG indicator 15.2.1is composed of fivesub-indicators: Forest area annual net change rate Above-ground biomass stock in forest Proportion of forest area located within legally established protect areas Proportion of forest area under a long term forest management plan Forest area under an independently verified forest management certification scheme According to Food and Agriculture Organization of the United Nations (FAO)-- the Custodian Agencyfor this indicator -- the rationale behind the proportion of forest area within legally established protected areascan be summarised as follows: The change in forest area within legally protected areas is a proxy for trends in conservation of forest biodiversity as well as cultural and spiritual values of forests and thus a clear indication of the political will to protect and conserve forests. This indicator is related to the CBD Aichi Target 11 which calls for each country to conserve at least 17 per cent of terrestrial and inland water areas. The full official metadata for this Tier I indicator are available at UN SDG Metadata website. For more information on this data series, please visit UN SDG website. ",
    "id": "UN-AG_LND_FRSTPRCT",
    "dataset": "UN-SDG_15.2.1",
    "measurement_unit": "Percentage (%)",
    "picture": "",
    "related_landvoc_concepts": "forest land;environment;sustainable land use;climate change;forest conservation;forest management plans;",
    "related_themes": "Forest Landscape Restoration;Forest Tenure;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UN-AG_LND_FRSTPRCT"
}

{
  "indicator": {
    "label": "Proportion of land that is degraded over total land area (%)",
    "description": "The data series presented here measures proportion of land that is degraded over total land area (%). This data series contributes to the measurement of SDG Indicator 15.3.1, classified as Tier II in September 2018, which is officially defined as follows: The measurement unit for this indicator is the spatial extent (hectares or km2) expressed as the proportion (percentage or %) of land that is degraded over total land area. SDG indicator 15.3.1 is a binary - degraded/not degraded - quantification based on the analysis of available data for three sub-indicators to be validated and reported by national authorities. The sub-indicators (Trends in Land Cover, Land Productivity and Carbon Stocks) were adopted by the UNCCDs governing body in 2013 as part of its monitoring and evaluation approach. According to United Nations Convention to Combat Desertification (UNCCD)and partners (Food and Agriculture Organization of the United Nations (FAO), United Nations Statistics Division (UNSD), United Nations Environment Programme(UNEP), United Nations Framework Convention on Climate Change (UNFCCC), Convention on Biological Diversity (CBD)) -- the Custodian Agenciesfor this indicator -- the rationale behind this indicator can be summarised as follows: In the last decade, there have been a number of global/regional targets and initiatives to halt and reverse land degradation and restore degraded land. Starting in 2010, these include the Aichi Biodiversity Targets, one of which aims to restore at least 15% of degraded ecosystems; the Bonn Challenge and its regional initiatives to restore more than 150 million hectares; and most recently the Sustainable Development Goals (SDGs), in particular SDG target 15.3. For each of the sub-indicators, countries can access a wide range of data sources, including Earth observation and geospatial information, while at the same time ensuring national ownership.18 The use of the existing national reporting templates of the UNCCD, 19 which include the indicator and subindicators, provides a practical and harmonized approach to reporting on this indicator beginning in 2018 and every four years thereafter. SDG indicator 15.3.1 is a binary -- degraded/not degraded -- quantification based on the analysis of available data that is validated and reported by national authorities. The full official metadata for this Tier II indicator are available at UN SDG Metadata website. For more information, check also this indicator's page on Land PortalSDG porfolio. For more information on this data series, please visit UN SDG website. ",
    "id": "UN-AG_LND_DGRD",
    "dataset": "UN-SDG_15.3.1",
    "measurement_unit": "Percentage (%)",
    "picture": "",
    "related_landvoc_concepts": "land use;forest land;forest conservation;land governance;land degradation;environment;pastoral lands;",
    "related_themes": "Forest Landscape Restoration;Rangelands, Drylands & Pastoralism;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UN-AG_LND_DGRD"
}

{
  "indicator": {
    "label": "Productivity of small-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $)",
    "description": "The data series presented here measures the average productivity of small-scale food producers (agricultural output per labour day, PPP) (constant 2011 international $). This data series contributes to the measurement of SDG Indicator 2.3.1, classified as Tier II in September 2018, which is officially defined as the\"Volume of agricultural production of small-scale food producer in crop, livestock, fisheries, and forestry activities per number of days. The indicator is computed as a ratio of annual output to the number of working days in one year\". According to Food and Agriculture Organization of the United Nations (FAO) -the Custodian Agency for this indicator -the rationale behind this indicator can be summarised as follows: The 2030 Sustainable Development Agenda has emphasized the importance of enhancing productivity of small-scale food producers, as these producers play an important role in the global production of food.The indicator monitors progress in this area, where the target is to double productivity by year 2030. The enhancement of labour productivity in small-scale production units also has implications on poverty reduction, as small-scale food producers are often poor, and are frequently found to be close to subsistence conditions. The full official metadata for this Tier II indicator are available at UN SDG Metadata website. For more information, check also this indicator's page on Land PortalSDG porfolio. For more information on this data series, please visit UN SDG website. ",
    "id": "UN-PD_AGR_SSFP",
    "dataset": "UN-SDG_2.3.1",
    "measurement_unit": "Constant 2011 international $",
    "picture": "",
    "related_landvoc_concepts": "food security;land rights;land governance;agriculture;land use;",
    "related_themes": "Land & Food Security;Land Stakeholders & Institutions;Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UN-PD_AGR_SSFP"
}

{
  "indicator": {
    "label": "Remote Rangelands",
    "description": "This indicators measures the country-level extension (in sq. Km) of the \"remote rangelands\" anthrome class, which includes rangelands without significantl human population. According to Ellis et Al., (2011), anthrome classes ranges from wildlands - with little antrhropogenic impact on the ecosystem - to dense human settlements - in which the anthropogenic impact is maximum. This indicator is part of the Anthropogenic Biomes of the World (Version 2). Full data and additional information are available via this link:http://sedac.ciesin.columbia.edu/data/set/anthromes-anthropogenic-biomes... Full citation for the data included here is: Ellis, E.C., K.K. Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2013. Anthropogenic Biomes of the World, Version 2: 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4D798B9. For more information about anthrome classes, please visit:http://ecotope.org/anthromes/v2/ Or consult: Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography 19(5):589-606. Available at: http://ecotope.org/people/ellis/papers/ellis_2010.pdf",
    "id": "SEDAC-REM",
    "dataset": "SEDAC-ABW",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "pastoral lands;rangelands;environment;land use;",
    "related_themes": "Rangelands, Drylands & Pastoralism;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "SEDAC-REM"
}

{
  "indicator": {
    "label": "Pastoral villages",
    "description": "This indicators measures the country-level extension (in sq. Km) of the residential rangelands anthrome class, which includes rangelands with substantial human population. According to Ellis et Al., (2011), anthrome classes ranges from wildlands - with little antrhropogenic impact on the ecosystem - to dense human settlements - in which the anthropogenic impact is maximum. This indicator is part of the Anthropogenic Biomes of the World (Version 2). Full data and additional information are available via this link:http://sedac.ciesin.columbia.edu/data/set/anthromes-anthropogenic-biomes... Full citation for the data included here is: Ellis, E.C., K.K. Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2013. Anthropogenic Biomes of the World, Version 2: 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4D798B9. For more information about anthrome classes, please visit:http://ecotope.org/anthromes/v2/ Or consult: Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography 19(5):589-606. Available at: http://ecotope.org/people/ellis/papers/ellis_2010.pdf",
    "id": "SEDAC-PAST",
    "dataset": "SEDAC-ABW",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "pastoralists;rangelands;pastoral lands;",
    "related_themes": "Land, Climate Change & Environment;Rangelands, Drylands & Pastoralism;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "SEDAC-PAST"
}

{
  "indicator": {
    "label": "Residential rangelands",
    "description": "This indicators measures the country-level extension (in sq. Km) of the residential rangelands anthrome class, which includes rangelands with substantial human population. According to Ellis et Al., (2011), anthrome classes ranges from wildlands - with little antrhropogenic impact on the ecosystem - to dense human settlements - in which the anthropogenic impact is maximum. This indicator is part of the Anthropogenic Biomes of the World (Version 2). Full data and additional information are available via this link:http://sedac.ciesin.columbia.edu/data/set/anthromes-anthropogenic-biomes... Full citation for the data included here is: Ellis, E.C., K.K. Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2013. Anthropogenic Biomes of the World, Version 2: 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4D798B9. For more information about anthrome classes, please visit:http://ecotope.org/anthromes/v2/ Or consult: Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography 19(5):589-606. Available at: http://ecotope.org/people/ellis/papers/ellis_2010.pdf",
    "id": "SEDAC-RESID",
    "dataset": "SEDAC-ABW",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "land ownership;rangelands;environment;",
    "related_themes": "Rangelands, Drylands & Pastoralism;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "SEDAC-RESID"
}

{
  "indicator": {
    "label": "Populated rangelands",
    "description": "This indicators measures the country-level extension (in sq. Km) of the \"remote rangelands\" anthrome class, which includes rangelands without significantl human population. According to Ellis et Al., (2011), anthrome classes ranges from wildlands - with little antrhropogenic impact on the ecosystem - to dense human settlements - in which the anthropogenic impact is maximum. This indicator is part of the Anthropogenic Biomes of the World (Version 2). Full data and additional information are available via this link:http://sedac.ciesin.columbia.edu/data/set/anthromes-anthropogenic-biomes... Full citation for the data included here is: Ellis, E.C., K.K. Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2013. Anthropogenic Biomes of the World, Version 2: 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4D798B9. For more information about anthrome classes, please visit:http://ecotope.org/anthromes/v2/ Or consult: Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography 19(5):589-606. Available at: http://ecotope.org/people/ellis/papers/ellis_2010.pdf",
    "id": "SEDAC-POP",
    "dataset": "SEDAC-ABW",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "environment;pastoral lands;pastoralists;rangelands;",
    "related_themes": "Land, Climate Change & Environment;Rangelands, Drylands & Pastoralism;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "SEDAC-POP"
}

{
  "indicator": {
    "label": "Perception of \"grand\" or political corruption in land matters - Average problem",
    "description": "This indicator measures the weghted proportion (%) of respondants who percevied grand or political corruption for land services as a AVERAGE PROBLEM. In particuar, the 2009 round of the Global Corruption Barometer included the following question: How serious do you think the problem of grand or political corruption in land matters is in this country? Possible answers were the followings: - Not a problem at all - Moderate - Average - Serious - Very serious problem - Dont know/ No answer (NA) We used the weights provided in the original dataset provided by TI. For more information around the TI's GCB please visit: https://www.transparency.org/news/feature/global_corruption_barometer_ci...",
    "id": "TI-GCB-GPCL.A",
    "dataset": "TI-GCB",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "land governance;delinquent behaviour;land investments;",
    "related_themes": "Land Stakeholders & Institutions;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-GCB-GPCL.A"
}