This dataset represents a zoning district overlaid across existing industrial zones along the water to allow only industries that use or need deep water access. The Overlay district was set to expire in 2014, but was recently extended to expire in 2024. To leave feedback or ask a question about this dataset, please fill out the following form: MIZOD feedback form.

In 1984, the General Assembly enacted the Chesapeake Bay Critical Area Act to regulate development, manage land use and conserve natural resources on land in those areas designated as Critical Area. For this document, the Critical Area is all land and water areas within 1000 feet of the tidal waters' edge or from the landward edge of adjacent tidal wetlands and the lands under them. Georeferenced digital data files of the critical Area have been produced for Baltimore City and the 16 Maryland counties with land located within the Critical Area. The digital maps produced for each jurisdiction are polygons depicting the Critical Area and the land use classifications recognized by the Chesapeake Bay Critical Area Commission (CBCAC). Each jurisdiction is a separate file. The data were produced from hard copy parcel maps originally submitted by the counties as part of the requirements for developing their Critical Area Program. For the purpose of the MD iMap web service the Critical Area Data is displayed by two data layers, one general layer and one layer showing the available critical area data for local towns.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_CriticalAreas/MapServer/1

This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. Shoreline Situation Reports (SSR) is intended to assist planners - managers - and regulators in decisions pertaining to management of coastal areas and natural resources therein. Data collected describes conditions in the immediate riparian zone - the bank - and along the shore. Map Service Link: http://geodata.md.gov/imap/rest/services/Hydrology/MD_ShorelineInventory/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

This web map provides provides a customized world basemap that is uniquely symbolized. It is optimized to display special areas of interest (AOIs) that have been created and edited by Community Maps contributors. These special areas of interest include landscaping features such as grass, trees, and rock and sports amenities like tennis courts, football and baseball field lines, and more. This vector tile layer is built using the same data sources used for the World Topographic Map and other Esri basemaps. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the Community tile layer referenced in this map.Customize this MapBecause this map includes a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to the Esri Vector Basemap Reference Document (v2) and vector basemap articles on the ArcGIS Online Blog.Fonts available for use in the style resource directory are under the OFL, Open Font License.This map was designed and created by Cindy Prostak.

Abstract:

One-meter soil cores were taken to evaluate soil texture, bulk
density, carbon and nitrogen pools, microbial biomass carbon and
nitrogen content, microbial respiration, potential net nitrogen
mineralization, potential net nitrification and inorganic nitrogen
pools in 32 residential home lawns that differed by previous land
use and age, but had similar soil types. These were compared to
soils from 8 forested reference sites.


Purpose:


Soil cores were obtained from residential and forest sites in the
Baltimore, MD USA metropolitan area. The residential sites were
mostly within the Gwynns Falls Watershed (-76.012008W, -77.314183E,
39.724847N, 38.708367S and approximately 17 km2) Lawns on
residential sites were dominated by a variety of cool season
turfgrasses. Forest soil cores were taken from permanent forest
plots of the Baltimore Ecosystem Study (BES) LTER (Groffman et al.
2006). These remnant forests are over 100 years old with soils that
were comparable in type and texture to those underlying the
residential study sites. Soils from all sites were from the Manor
series (coarse-loamy, micaceous, mesic Typic Dystrudepts), which are
well-drained upland soils with loamy textures and bedrock at 5 to 10
feet below the soil surface.


To aid the site selection process we used neighborhoods in the
Baltimore City metropolitan area that have been mapped using
HERCULES, a high resolution land cover classification system
designed to assist in the study of human-ecological systems
(Cadenasso et al. 2007). Using HERCULES and additional data sources,
we identified residential sites that were similar except for single
factors that we hypothesized to be important predictors of ecosystem
dynamics. These factors included land use history (agriculture and
forest, n = 10 and n = 22), housing density (low and medium/high, n
= 9 and n = 23), and housing age (4 to 58 yrs old, n = 32). Housing
age was acquired from the Maryland Property View database. Prior
land use was determined based on land use change maps developed by
integrating aerial photos from 1938, 1957, 1971, and 1999 into a
geographic information system. Once a list of residential parcels
meeting the predefined criteria were identified, we sent mailings to
property owners chosen at random from each of the factor groups with
the goal of recruiting 40 property owners for a 3 year study (of
which this work is a part). We had recruited 32 property owners at
the time that soil cores were obtained.


Data have been published in Raciti et al. (2011a, 2011b)


References


Cadenasso, M. L., S. T. A. Pickett, and K. Schwarz. 2007. Spatial
heterogeneity in urban ecosystems: reconceptualizing land cover and
a framework for classification. Frontiers in Ecology and the
Environment 5:80-88.
https://doi.org/10.1890/1540-9295(2007)5[80:SHIUER]2.0.CO;2


Groffman, P. M., R. V. Pouyat, M. L. Cadenasso, W. C. Zipperer, K.
Szlavecz, I. D. Yesilonis, L. E. Band, and G. S. Brush. 2006. Land
use context and natural soil controls on plant community composition
and soil nitrogen and carbon dynamics in urban and rural forests.
Forest Ecology and Management 236:177-192.
https://doi.org/10.1016/j.foreco.2006.09.002


Raciti, S. M., Groffman, P. M., Jenkins, J. C., Pouyat, R. V.,
Fahey, T. J., Pickett, S. T. A., & Cadenasso, M. L. (2011a).
Nitrate production and availability in residential soils. Ecological
Applications, 21(7), 2357–2366. https://doi.org/10.1890/10-2009.1


Raciti, S.M., Groffman, P.M., Jenkins, J.C. et al. (2011b).
Accumulation of Carbon and Nitrogen in Residential Soils with
Different Land-Use Histories. Ecosystems 14, 287–297.
https://doi.org/10.1007/s10021-010-9409-3