Texas Environmental Sensitivity Index Shoreline

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318
44
Updated
17 Oct 2011

Gulf and bay shoreline of Texas classified by shoreline types coded for environmental sensitivity to oil/hazardous material spills and cleanup operations. Shoreline arc features extracted from U.S. Fish and Wildlife Service 1992 National Wetland Inventory digital data files by Texas General Land Office. Environmental Sensitivity Index code values assigned by coastal geologists with the University of Texas Bureau of Economic Geology coastal geologists representing sensitivity to oil spills and ease of cleanup.

Data are not intended to precisely delineate the average natural shoreline (land/water interface) and may not be used to delineate boundaries between public and private land. Shoreline types indicate sensitivity to oil and ease of cleanup. Larger numbers represent increasingly sensitive shoreline habitats; e.g. vegetated wetlands and sheltered shores are more species-rich and sensitive to contamination than exposed scarps, beaches, and solid structures.

Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. Texas Gulf Coast Free to public Not to be used for navigational purposes or for delineating boundaries between public and private land.

Source: www.glo.state.tx.us/gisdata/gisdata.html

Layer ID 793
Data type Vector linestring
Feature count 18648
Services Vector Query API

Marine Environment Classification EEZ 40 Classes

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Creative Commons Attribution 3.0 New Zealand

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278
83
Updated
11 Jan 2012

The Marine Environment Classification (MEC), a GIS-based environmental classification of the marine environment of the New Zealand region, is an ecosystem-based spatial framework designed for marine management purposes.

Several spatially-explicit data layers describing the physical environment define the MEC. A physically-based classification was chosen because data on these physical variables were available or could be modelled, and because the pattern of the physical environment is a reasonable surrogate for biological pattern, particularly at larger spatial scales. Classes within the classification were defined using multivariate clustering methods. These produce hierarchical classifications that enable the user to delineate environmental variation at different levels of detail and associated spatial scales.

Layer ID 3822
Data type Vector multipolygon
Feature count 38
Services Vector Query API, data.govt.nz Atom Feed

Native Vegetation of Arizona (1993)

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338
16
Updated
09 May 2010

Adapted from "Biotic Communities of the Southwest", August 1980 by David E. Brown and Charles H. Lowe. Unknown Not Applicable Complete None planned None vegetation biotic classes None Arizona Access is granted to public agencies. The Department makes no warranties related to the accuracy of the data and users are required to determine suitability of use for any particular purpose. Not for use at scales greater than 1:100000.

Source: atlas.library.arizona.edu/atlas/dataDownloader

Layer ID 1139
Data type Vector polygon
Feature count 424
Services Vector Query API

Bay Delta Vegetation

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299
53
Updated
09 May 2010

CDF-FRAP compiled the "best available" land cover data into a single data layer, to support the various analyses required for the 2002 Forest and Range Assessment. Typically the most current and detailed data were collected for various regions of the state or for unique mapping efforts (farmland, wetlands, riparian vegetation). Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common California Wildlife Wabitat Relationships (CWHR) system classification. Data sources had unique scale/resolution, multi-source data provided as 100m GRID. The original 1/2002 data used to support the Asessment is also available from the FRAP site - this record corresponds to the most recent updated version of the data (10/2002), which incorporates better data for the Mojave NE Colorado Desert areas.

Data is clipped using California Bioregion boundaries for use in the California Digital Conservation Atlas. Data is dissolved on the 'WHR13NAME' field for display purposes in the Atlas.

Source: www.atlas.ca.gov/download.html
See attached metadata file.

Layer ID 661
Data type Vector polygon
Feature count 123891
Services Vector Query API

REC Catchment Order 8

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Creative Commons Attribution 3.0 New Zealand

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232
115
Updated
17 Oct 2011

The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide www.mfe.govt.nz/environmental-reporting/about/tool... ).

Additional metadata can be found at www.mfe.govt.nz/publications/ser/metadata/env-clas... .

Layer ID 1547
Data type Vector multipolygon
Feature count 6
Services Vector Query API, data.govt.nz Atom Feed

Feral Goat distribution in Northland (1 July 2007)

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Creative Commons Attribution 3.0 New Zealand

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191
137
Added
21 Sep 2010

This dataset represents the terrestrial distribution of Feral Goat (Capra hicus) in Northland as at 1 July 2007. It represents this species' final layer as part of the Natural Heritage Management Strategy of the Department of Conservation.

Spatial and textual data were collected at the Area level by Department of Conservation Area Office and Conservancy Office staff. Polygons representing the distribution were hand-drawn onto LINZ 260 series topo maps at the 1:250,000 scale. Digitisation of the hand-drawn maps was contracted to Geographx (NZ) Limited.

Freshwater lakes, ponds and rivers were clipped from the layer to represent species absence. Further digitisation work was carried out by the DOC R&D GIS team in Christchurch to re-define selected polygons by species specific distribution drivers; i.e. altitude and habitat guided by LCBD 2. The attribute table may contain references to quantitative datasets of species abundance (where such datasets exist).

For full explanation of data collection methodology see DOCDM-186114.

Layer ID 1600
Data type Vector multipolygon
Feature count 14
Services Vector Query API

Northland At-Risk Aquifers

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Creative Commons Attribution-No Derivative Works 3.0 New Zealand

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230
92
Added
04 Aug 2009

At-Risk Aquifers from the Northland Regional Water and Soil Plan

NRC Regional Plans Resource Library

Please also see the layer Main Northland Aquifers for other aquifers not covered in the Northland Regional Water and Soil Plan

Layer ID 1158
Data type Vector polygon
Feature count 43
Services Vector Query API

Northland Coastal Marine Area Boundary

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Creative Commons Attribution-No Derivative Works 3.0 New Zealand

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262
54
Updated
22 Apr 2010

The Coastal Marine Area (CMA) Boundary is the indicative line of Mean High Water Springs. It is the administrative boundary between terrestrial land (dry land) and the CMA (foreshore and seabed).

Digitized from NZ260 topographic maps, appropriate scale of use is 1:50,000

Updated in 2009 to reflect the agreed legal CMA boundary on rivers and streams.
Updated in 2010 to include Marsden Cove Marina.

Layer ID 1425
Data type Vector polygon
Feature count 1964
Services Vector Query API

Northland Dune Lakes

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Creative Commons Attribution 3.0 New Zealand

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220
69
Added
04 Aug 2009

Dune Lakes of Northland

Digitized from LINZ Topo 260 paper maps, appropriate scale of use 1:50,000

Layer ID 1159
Data type Vector point
Feature count 67
Services Vector Query API, data.govt.nz Atom Feed

Feral Pig distribution in Northland (1 July 2007)

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Creative Commons Attribution 3.0 New Zealand

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216
63
Added
21 Sep 2010

This dataset represents the terrestrial distribution of Feral Pig (Sus scofa) in Northland as at 1 July 2007. It represents this species' final layer as part of the Natural Heritage Management Strategy of the Department of Conservation.

Spatial and textual data were collected at the Area level by Department of Conservation Area Office and Conservancy Office staff. Polygons representing the distribution were hand-drawn onto LINZ 260 series topo maps at the 1:250,000 scale. Digitisation of the hand-drawn maps was contracted to Geographx (NZ) Limited.

Freshwater lakes, ponds and rivers were clipped from the layer to represent species absence. Further digitisation work was carried out by the DOC R&D GIS team in Christchurch to re-define selected polygons by species specific distribution drivers; i.e. altitude and habitat guided by LCBD 2. The attribute table may contain references to quantitative datasets of species abundance (where such datasets exist).

For full explanation of data collection methodology see DOCDM-186114.

Layer ID 1602
Data type Vector multipolygon
Feature count 14
Services Vector Query API
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