Quick Stats is the National Agricultural Statistics Service's (NASS) online, self-service tool to access complete results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIT02), Pressure Irrigation Source (PI) on agricultural land by county. Pressure Irrigation Source is described as irrigation "delivered to the farm and/or field in pump or elevation induced pressure pipelines; and water is distributed across the field by: 1) Sprinkle irrigation (center pivot, linear move, traveling gun, side roll, hand move, big gun, or fixed set sprinklers), or, 2) Micro irrigation (drip emitters, continuous tube bubblers, micro spray or micro sprinklers)." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which PI's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains farmland acres (total) measurements in acre units and were aggregated to a yearly timescale.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS05), Combination of Irrigation Sources (CIS) on agricultural land by county. A combination of irrigation sources means one or more sources of irrigation, such as wells, ponds, or streams are used on agricultural land. (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which CIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Konza Prairie (KNZ) contains farmland acres (total) measurements in acre units and were aggregated to a yearly timescale.

The Maryland Agricultural Land Preservation Foundation (MALPF), housed within the Maryland Department of Agriculture (MDA), protects agricultural lands through the use of perpetual easements. This program was created by the Maryland General Assembly in 1977, is governed by the Agricultural Article, Sections 2-501 through 2-519 of the Annotated Code of Maryland. MALPF’s primary purpose is to preserve productive agricultural land and woodland to provide for the continuing production of food and fiber for the citizens of Maryland. This is accomplished by landowners voluntarily applying to sell an easement on their property through a competitive State-wide application process. MALPF easement boundaries are estimated based on property descriptions provided by MDA, aligned to MD iMap parcel polygons and supplemented with MdProperty View data to facilitate use with vectorized parcel data. This GIS dataset is intended for general guidance and use only and is not designed as a substitute for legal survey. The coordinates displayed do not represent legal parcel corners and/or boundaries and they cannot be used for establishment of or in lieu of legal land survey boundaries.

In June 2019 new fields were added to facilitate the integration of this dataset with the Protected Areas Database of the United States (PAD-US). Attributes for these fields, which are identified below as PAD-US fields, are not available for all data collected historically. The Maryland Department of Planning will continue to populate these new fields as updates become available. For a full description of the contents of the PAD-US fields, see https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-datamanual.Attributes within this dataset include: Source Protected Area ID (PAD-US field): MALPF easement number Settled Acres: Settlement acreage Settled Date: Settlement date, including month date and year County: County in which protected land is located Weblink: Link to more information about the protection program Category (PAD-US field): PAD-US classification for the protection mechanism associated with the protected property Owner Type (PAD-US field): General land owner type of the fee property interest, standardized for the US Owner Name (PAD-US field): Owner of the fee interest of the property, standardized for the nation Local Owner (PAD-US field): The actual name of the owner of the fee interest Easement Holder Type (PAD-US field): Where the ‘Category’ of protection code (above) is listed as “Easement”, this field specifies the type of holder of the easement. Easement Holder (PAD-US field): Where the ‘Category’ of protection code (above) is listed as “Easement”, this field indicates the actual name of the holder of the conservation easement. Unit Name (PAD-US field): The name of the land management unit or protected area State (PAD-US field): Name of state in which the protected land is located Aggregator Source (PAD-US field): Organization credited with data aggregation. Attributed in the format 'organization name_filenameYearPublished.filetype' GIS Source (PAD-US field): The original source of GIS spatial and attribute information the aggregator obtained where available GIS Source Date (PAD-US field): The date (yyyy/mm/dd) GIS data was obtained by the data source for aggregation GIS Acres (PAD-US field): Acres calculated for each polygon in NAD83 Meters. The GIS Acres may differ from the Settled Acres, particularly in cases where easement boundaries are estimated based on parcel polygon boundaries. Date of Protection (PAD-US field): The year (yyyy) the property was legally protected via fee acquisition or enactment of a conservation easement Public Access (PAD-US field):Accessibility of the property to the public, standardized

This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link: https://geodata.md.gov/imap/rest/services/Environment/MD_ProtectedLands/FeatureServer/4

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains farmland acres (total) measurements in acre units and were aggregated to a yearly timescale.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS05), Combination of Irrigation Sources (CIS) on agricultural land by county. A combination of irrigation sources means one or more sources of irrigation, such as wells, ponds, or streams are used on agricultural land. (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which CIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

The following dataset from Harrison Experimental Forest (HAR) contains farmland acres (total) measurements in acre units and were aggregated to a yearly timescale.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIT03), Gravity and Pressure Irrigation Source (GPI) on agricultural land by county. Gravity and Pressure Irrigation Source are described as a "combination of Gravity and Pressure Irrigation." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which GPI's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP449), Irrigation Water Management Recovery (IWM) on agricultural land by county. Irrigation Water Management Recovery is described as "the process of determining and controlling the volume, frequency, and application rate of irrigation water in a planned, efficient manner.to promote [a] desired crop response." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which IWM's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Konza Prairie (KNZ) contains farmland acres (total) measurements in acre units and were aggregated to a yearly timescale.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP606), Subsurface Drains (SD) on agricultural land by county. Subsurface Drains are described as "a conduit, such as corrugated plastic tubing, tile, or pipe, installed beneath the ground surface to collect and/or convey drainage." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which SD's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set contains annual county-level estimates of total atrazine use on 16 agricultural crops and four agricultural land uses between 1992 and 2007. For each year, atrazine use was estimated for all counties in the conterminous U.S. (except California) by combining (1) proprietary data from the DMRKynetec (DMRK) AgroTrak database on the mass of atrazine applied annually to agricultural crops, (2) county harvested crop acreage, from the 1992, 1997, 2002, and 2007 U.S. Department of Agriculture (USDA) Censuses of Agriculture, and (3) annual harvested crop acreage from the National Agriculture Statistics Service (NASS) for non-Census years between 1992 and 2007. Annual DMRK estimates of pesticide use on individual crops were derived from surveys of major field crops and selected specialty crops in multicounty areas referred to as Crop Reporting Districts (CRD). The CRD-level atrazine-use estimates were disaggregated to obtain county-level application rates by dividing the mass (pounds) of pesticides applied to a crop by the acreage of that crop in the CRD, to yield a rate per harvested acre. When atrazine-use estimates were not available for a CRD, crop, or year, an estimated CRD-level rate was developed following a hierarchy of decision rules that checked first for the availability of a crop application rate from surveyed atrazine application rate(s) for adjacent CRDs for a specific year, and second, the rates from surveyed CRDs within for USDA Farm Production Regions for a specific year or multiple years. The estimation method applied linear interpolation to estimate crop acreage for years when harvested acres for a crop and county were not reported in either the Census of Agriculture or the NASS database, but were reported by these data sources for other years for that crop and county. Data on atrazine use for the counties in California were obtained from farmers' reports of pesticide use collected and published by the California Department of Pesticide Regulation-Pesticide Use Reporting (DPR-PUR) because these data are more complete than DMRK survey data. National and state annual atrazine-use totals derived by this method were compared with other published pesticide-use estimates and were highly correlated. The method developed is designed to be applicable to other pesticides for which there are similar data; however, for some pesticides that are applied to specialty crops, fewer surveys are usually available to estimate application rates and there are a greater number of years with unreported crop acreage, potentially resulting in greater uncertainty in use estimates.

This metadata record describes a computed ratio of county acres of farmland reported in agricultural conservation programs to the total acres of farmland reported for the county. Acres in conservation programs are for the 2012 time period, and reported by survey from the U.S. Department of Agriculture, Farm Field Survey. Acres of total farmland were used from the U.S. Department of Agriculture, 2012 Census of Agriculture. The ratio is intended to provide an indication of the intensity of agricultural management practices.

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP329 ), Conservation Tillage Systems (CTS) on agricultural land by county. Conservation Tillage Systems is described as "managing the amount, orientation and distribution of crop and other plant residues on the soil surface year-round, while growing crops in narrow slots, or tilled or residue free strips in soil previously untilled by full-width inversion implements." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which CTS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP464), Irrigation Land Leveling (ILL) on agricultural land by county. Irrigation Land Leveling is described as "[r]eshaping the surface of land to be irrigated to planned grades. for the purpose of permitting uniform and efficient application of irrigation water to the leveled land." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which ILL's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS01), Wells as an Irrigation Source (WIS) on agricultural land by county. Wells as an Irrigation Source are described as a "hole drilled or bored into the earth providing access to water." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which WIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP312), Agricultural Waste Management Systems on agricultural land by county. "An agricultural waste management system (AWMS) is a planned system in which all necessary components are installed and managed to control and use by products of agricultural production in a manner that sustains or enhances the quality of air, water, soil, plant, and animal resources. Agricultural waste management systems must be developed using the total systems approach. A total system accounts for all the waste associated with an agricultural enterprise throughout the year from production to utilization. In short, it is the management of all the waste, all the time, all the way." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which AWMS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.