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A global surge in ‘artisanal’, small-scale mining (ASM) threatens biodiverse tropical forests and exposes residents to dangerous levels of mercury. In response, governments, and development agencies are investing millions (USD) on ASM formalization; registering concessions and demarcating extraction zones to promote regulatory adherence and direct mining away from ecologically sensitive areas. This data publication contains data used to examine patterns of mining-related deforestation associated with ASM formalization efforts in the Department of Madre de Dios in the Peruvian Amazon. Using satellite images and government-issued spatial layers on mining formalization, we tracked changes in mining activities from 2001 to 2014 when agencies: (a) issued 1701 provisional titles and (b) tried to restrict mining to a > 5000 square kilometer (km²) ‘corridor’. The data reported in this publication are based on the centroids of a 25 hectare (ha) hexagon grid covering the 20,850 km² study area and includes variables related (1) mining deforestation from years 2001 to 2014, (2) mining concession status, (3) location relative to the mining corridor, as well as (4) location relative to time-invariant variables and access (geology, distance to river), administrative units (district, native communities), and conservation designation (protected areas).Data were compiled and analyzed to examine patterns of mining-related deforestation associated with formalization efforts in the Department of Madre de Dios, Perú.For more information about this study and these data, see Álvarez-Berríos and L'Roe (2021).
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
The Forest Resources Inventory (FRI) provides information about tree species, including:
Ontario’s forest resource inventories allow us to support resource management and land use decisions, and help sustain healthy, natural environments.
Forest resource inventories for each forest management unit are legally required under the Crown Forest Sustainability Act (1994). Every 10 years, the ministry creates a new forest management plan where inventory data is updated and must be compliant with the requirements detailed in the Act.
Ontario’s FRI is also used to meet provincial, federal, and international reporting requirements.
These draft FRI Packaged Product data sets are being provided for the purpose of consultation and product development. The number of attributes and the algorithms used to generate the attribute as well as the data formats will change over time and should not be considered the final version. A final version of the structure and content of the FRI will be made available after the required consultations are complete.
Data sets will be made available for each Forest Management Unit as they are produced.
For more information on the FRI please see: https://www.ontario.ca/page/forest-resources-inventory
The mining sector in Cambodia is mostly undeveloped, and active mining enterprises are typically small-scale quarries producing materials for construction, such as laterite, marble, granite, limestone, gravel and sand. There are also thousands of artisanal miners recovering gold and gemstones, often on a seasonal or part-time basis. There is no industrial-scale extraction of minerals, although many exploration licenses have been granted to mining companies and some have reported promising finds of gold. The mining law states that all mining in “national cultural, historical and heritage sites” is prohibited, and mining activities in “protected, reserved or restricted” areas can only be carried out with written permission of the authority responsible. The 2002 Law on Forestry allows mining within the permanent forest estate, however, any proposed mining operation must be the subject of a ‘prior study-evaluation’ by the Ministry of Agriculture, Forestry and Fisheries (MAFF). The legality of mining operations on lands traditionally managed by indigenous people requires clarification.
This dataset contains data for mining licenses in Cambodia with contract dates starting from 1995 to 2014. Due to the lack of publicly available information, this dataset does not include information on implementation status of mines or change in ownership of mining licenses.
Open Development Cambodia collected the data from a variety of public domain sources such as the government, non-governmental organizations (NGOs), research institutes, company websites, and news reports.
Sites of mining activity in Armenia
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Approximately 7.6% of Canada's forest land is located in protected areas. Over 95% of protected forests are totally protected and the rest reflect degrees of human intervention such as logging, mining and agriculture. This map shows all the protected areas in Canada.
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License information was derived automatically
Peru Crude Petroleum Reserves: Proved: Forest: Central data was reported at 6.732 Barrel mn in 2015. This records an increase from the previous number of 2.209 Barrel mn for 2014. Peru Crude Petroleum Reserves: Proved: Forest: Central data is updated yearly, averaging 1.800 Barrel mn from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 6.732 Barrel mn in 2015 and a record low of 1.113 Barrel mn in 2002. Peru Crude Petroleum Reserves: Proved: Forest: Central data remains active status in CEIC and is reported by Ministry of Energy and Mines. The data is categorized under Global Database’s Peru – Table PE.RB013: Crude Petroleum Reserves.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data set provides the boundaries of mining permits for the Republic of the Congo. The original map data were produced by the Republic of the Congo Ministry of Mines and Geology with the support of the World Resources Institute, as part of the Forest Atlas of Congo.
This data set provides the boundaries for mining permits in the Democratic Republic of the Congo. This data set is available from the Ministry of Mines Mining Registry (CAMI), for purchase and could not be made available for public download. For more information, see the DRC's mining cadaster portal.
This layer shows 2017 land cover, classified by type. The data is sourced from 2017 Ministry of Environment & Forestry data (1:250,000 scale). The World Resources Institute reclassified the original land cover categories from the Ministry of Environment & Forestry dataset for use in the Suitability Mapper (2012), into the following categories:Primary Forest: Primary dry land forest, primary mangrove forest, primary swamp forestSecondary Forest: Secondary dry land forest, secondary mangrove forest, secondary swamp forestPlantation Forest: Plantation forestGrass Land: Bush/Shrub, SavannahCropland: Estate crop plantation, dryland agriculture, shrub-mixed dryland farm, rice fieldOther Land: Bare land, fish pond, airport/ harbor, mining areaSettlement: Transmigration area, settlement areaWetland: Swamp, swamp shrubUnknown: CloudBodies of Water: Bodies of waterOriginal data available at http://geoportal.menlhk.go.id/arcgis/rest/services/KLHKEN under “LandCover_2017."
https://lio.maps.arcgis.com/sharing/rest/content/items/21b8192cd45b483385c63fa0326e629a/datahttps://lio.maps.arcgis.com/sharing/rest/content/items/21b8192cd45b483385c63fa0326e629a/data
SPSTPOLY Abstract Spatial Single-Tessellating-Polygon User Object.One and only one polygon forms a single object. Polygons within a concrete sub class cover all space and do not overlap.An example of a sub class of this class is forest stands as currently modeled in the FRI. Another example would be land tenure. This class is useful in ensuring that all land is accounted for and covered by some categorization. Methods on this class ensure that adding a new object, modifies the objects that this new object overlapsAdditional Time Period Information: Project ongoing, date range will be updated as project continues Data is collected on an on-going basis therefore the time period 'end date' may be more recent than indicated above.
Additional DocumentationWind Power Allocation Block - Data Description (PDF)Wind Power Allocation Block - Documentation (Word)
Status
On going: data is being continually updated
Maintenance and Update Frequency
As needed: data is updated as deemed necessary
Contact
Caryn Perry, Ministry of Natural Resources and Forestry, caryn.perry@ontario.ca
To request access to restricted use data, email the dataset contact or Information Access Analyst at emily.hill@ontario.ca.
The data referenced here is licensed Electronic Intellectual Property of the Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry and is provided for professional, non-commercial use only.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Peru Crude Petroleum Reserves: Probable: Forest: North data was reported at 116.481 Barrel mn in 2015. This records a decrease from the previous number of 266.682 Barrel mn for 2014. Peru Crude Petroleum Reserves: Probable: Forest: North data is updated yearly, averaging 204.870 Barrel mn from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 768.412 Barrel mn in 2010 and a record low of 71.140 Barrel mn in 1993. Peru Crude Petroleum Reserves: Probable: Forest: North data remains active status in CEIC and is reported by Ministry of Energy and Mines. The data is categorized under Global Database’s Peru – Table PE.RB013: Crude Petroleum Reserves.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Peru Crude Petroleum Reserves: Possible: Forest: Central data was reported at 3.101 Barrel mn in 2015. This records an increase from the previous number of 0.180 Barrel mn for 2014. Peru Crude Petroleum Reserves: Possible: Forest: Central data is updated yearly, averaging 221.584 Barrel mn from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 676.207 Barrel mn in 2007 and a record low of 0.180 Barrel mn in 2014. Peru Crude Petroleum Reserves: Possible: Forest: Central data remains active status in CEIC and is reported by Ministry of Energy and Mines. The data is categorized under Global Database’s Peru – Table PE.RB013: Crude Petroleum Reserves.
The Mineral Deposit Inventory 2010 is a digital geoscience database that provides an overview of mineral occurrences within the province of Ontario. The database contains information on metallic and industrial mineral deposits, as well as some building stone and aggregate sites. This deposit information can be used as source data for geographic information systems and earth science analysis for research and mineral exploration.
The Ministry of Northern Development, Mines and Forestry is releasing an updated version of the Mineral Deposit Inventory (MDI). This database is an inventory of mineral deposits in the province of Ontario and supersedes previous MDI releases, including this one for 2010. Originally compiled in the early 1970s by the Resident Geologist Program (RGP), the database is continually being reviewed and updated by RGP staff. There are approximately 950 new records and 2000 updated records.
Each MDI record provides all or some of the following information: deposit name(s), location, status (e.g., occurrence, prospect, producer, past producer), commodities, character/classification, geological structure, lithology, minerals and mineral alteration, geochemistry, exploration history, and production and reserve data where available. Also included are notes on deposit visits and references to additional publications related to the deposit.
MDI data are provided in 2 formats in this release: 1) a relational database, and 2) MDI provincial coverage in a geospatial GIS format.
Supplementary tables can be used and are available for download from the additional documentation section. Supplementary look-up table descriptions are available in the data description document, which is available for download from the additional documentation section.
https://lio.maps.arcgis.com/sharing/rest/content/items/21b8192cd45b483385c63fa0326e629a/datahttps://lio.maps.arcgis.com/sharing/rest/content/items/21b8192cd45b483385c63fa0326e629a/data
The data referenced here is licensed Electronic Intellectual Property of the Ontario Ministry of Natural Resources and Forestry and is provided for professional, non-commercial use only.
A Habitat Planning Range is a polygon feature that identifies an area for which habitat criteria, climatological imformation, and species occurrence information combine to make it an exemplary habitat for a particular species.
Additional DocumentationHabitat Planning Range - Data Description (PDF)Habitat Planning Range - Documentation (Word)
Status
Completed: production of the data has been completed
Maintenance and Update Frequency
As needed: data is updated as deemed necessary
Contact
Caryn Perry, Ministry of Natural Resources and Forestry, caryn.perry@ontario.ca
To request access to restricted use data, email the dataset contact or Information Access Analyst at emily.hill@ontario.ca.
The data referenced here is licensed Electronic Intellectual Property of the Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry and is provided for professional, non-commercial use only.
Revision Note: Please note that this dataset has been revised and is available from the Land Information Ontario (LIO) Warehouse.
This dataset represents events where forest insect pests have damaged trees by defoliation, foliage mining and wood boring, or contributed to tree mortality.
Only the outer perimeter of the damage events are generally mapped e.g. there is no distinction between smaller areas within that were unaffected. In addition to infestations, forest mortality areas caused by these insect pests are mapped as separate events.
Supplementary look-up table descriptions are available in the Data Description document, which is available for download from the additional documentation section. This layer is part of what was known as the OMNR Non-Fundamental Dataset.
Additional Metadata: http://www.mnr.gov.on.ca/en/Business/Forests/2ColumnSubPage/STEL02_166920.html
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Peru Crude Petroleum Reserves: Probable: Forest data was reported at 119.497 Barrel mn in 2015. This records a decrease from the previous number of 266.905 Barrel mn for 2014. Peru Crude Petroleum Reserves: Probable: Forest data is updated yearly, averaging 205.410 Barrel mn from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 771.380 Barrel mn in 2010 and a record low of 71.890 Barrel mn in 1993. Peru Crude Petroleum Reserves: Probable: Forest data remains active status in CEIC and is reported by Ministry of Energy and Mines. The data is categorized under Global Database’s Peru – Table PE.RB013: Crude Petroleum Reserves.
The Surficial Geology of Southern Ontario - Point Representation feature captures oriented point information such as drumlins and striae, and unoriented point information such as kames and bedrock locations. Please note that the point coverage is not complete for all of southern Ontario. Please use caution when interpreting data and results.
The Surficial Geology of Southern Ontario data set is a GIS based geological map that shows the distribution and characteristics of surficial units across Southern Ontario. It illustrates surficial deposit types, material types, geological features (e.g. drumlins, eskers) and general bedrock types and outcrops. The surficial geology of southern Ontario consists largely of varying types and thicknesses of deposits emplaced primarily during the Quaternary period. These surficial deposits overly a bedrock terrain consisting mainly of Phanerozoic sedimentary rocks that overlie older Precambrian rocks of the Canadian Shield.
The data used in generating the map was derived from Quaternary maps, primarily at a scale of 1:50 000, completed by the OGS and Geological Survey of Canada (GSC) for most of southern Ontario over the past 40 years.
The Surficial Geology of Southern Ontario - Point Representation feature is part of the Surficial Geology of Southern Ontario series. The other features are available on the GeoPortal and can be located by searching the following titles:
Supplementary data can be used and is available for download from the additional documentation section.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Peru Crude Petroleum Reserves: Proved: Forest data was reported at 286.157 Barrel mn in 2015. This records a decrease from the previous number of 333.780 Barrel mn for 2014. Peru Crude Petroleum Reserves: Proved: Forest data is updated yearly, averaging 216.920 Barrel mn from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 390.751 Barrel mn in 2013 and a record low of 127.534 Barrel mn in 1999. Peru Crude Petroleum Reserves: Proved: Forest data remains active status in CEIC and is reported by Ministry of Energy and Mines. The data is categorized under Global Database’s Peru – Table PE.RB013: Crude Petroleum Reserves.
This data is taken from a larger data set that contains the administrative large parcel boundaries for both the state and federal government. It combines the formerly known Legislatively Designated Areas (LDA's), or state parcels, and the Conservation System Units (CSU's), or federal parcels, with data improvements. The CSU's also contained additional federal management units, such as National Forests; hence, the name change. Data improvements are significant compared to previous versions of the LDA's and CSU's. The Public Land Survey System (PLSS) was used for all of the state parcels and several of the federal parcels. The previous LDA's coverage (prior to 2000), was automated at a section level. This dataset delineates the boundaries based on the exact legal description. Special notes about LDA's - The legislature may designate an area for special uses. Areas designated by the legislature may include refuges, sanctuaries, critical habitat areas, ranges, special management areas, forests, parks, recreation areas, preserves, public use areas, recreation rivers, and recreational mining areas. Consult the referenced Alaska Statutes to determine the legal description and special management intent of any particular area. Many areas also have regulations and plans that govern uses within their boundaries. State Wildlife Areas - Includes Sanctuaries, State Range Areas, Critical Habitat Areas and Refuges. They are established under Title 16, Chapter 20 of the Alaska Statutes to protect and preserve the natural habitat and game population or to enhance habitat for particular wildlife species. Most of these areas are managed by the Alaska Department of Fish and Game. State Park Areas - Includes parks, marine parks, recreation areas, state preserves, and special management areas. They are established under Title 41, Chapter 21 of the Alaska Statutes to foster the growth and development of a system of parks and recreational facilities and opportunities in the state, for the general health, welfare, education, and enjoyment of its citizens and for the attraction of visitors to the state. Most of these areas are managed by the Department of Natural Resources, Division of Parks and Outdoor Recreation. State Forest Areas - Includes state forests and resource management areas. They are established under Title 41, Chapter 15 or Chapter 17 of the Alaska Statutes primarily for management of forest resources. These areas are managed by the Department of Natural Resources, Division of Forestry. Other State Multiple Use Areas - Includes public use areas, recreation rivers, and recreational mining areas. They are established under Title 41, Chapter 23 of the Alaska Statutes for special multiple use management of state public land and water resources by the Department of Natural Resources and management of public wildlife resources by the Department of Fish and Game.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Peru Crude Petroleum: Reserves: Proved: Forest: South data was reported at 0.000 Barrel mn in 2015. This stayed constant from the previous number of 0.000 Barrel mn for 2014. Peru Crude Petroleum: Reserves: Proved: Forest: South data is updated yearly, averaging 0.000 Barrel mn from Dec 1997 (Median) to 2015, with 19 observations. Peru Crude Petroleum: Reserves: Proved: Forest: South data remains active status in CEIC and is reported by Ministry of Energy and Mines. The data is categorized under Global Database’s Peru – Table PE.RB013: Crude Petroleum Reserves.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
A global surge in ‘artisanal’, small-scale mining (ASM) threatens biodiverse tropical forests and exposes residents to dangerous levels of mercury. In response, governments, and development agencies are investing millions (USD) on ASM formalization; registering concessions and demarcating extraction zones to promote regulatory adherence and direct mining away from ecologically sensitive areas. This data publication contains data used to examine patterns of mining-related deforestation associated with ASM formalization efforts in the Department of Madre de Dios in the Peruvian Amazon. Using satellite images and government-issued spatial layers on mining formalization, we tracked changes in mining activities from 2001 to 2014 when agencies: (a) issued 1701 provisional titles and (b) tried to restrict mining to a > 5000 square kilometer (km²) ‘corridor’. The data reported in this publication are based on the centroids of a 25 hectare (ha) hexagon grid covering the 20,850 km² study area and includes variables related (1) mining deforestation from years 2001 to 2014, (2) mining concession status, (3) location relative to the mining corridor, as well as (4) location relative to time-invariant variables and access (geology, distance to river), administrative units (district, native communities), and conservation designation (protected areas).Data were compiled and analyzed to examine patterns of mining-related deforestation associated with formalization efforts in the Department of Madre de Dios, Perú.For more information about this study and these data, see Álvarez-Berríos and L'Roe (2021).