EPA/600/R-12/550 July 2012 www.epa.gov/research
&ERA
United States
Environmental Protection
Agency
San Pedro River Basin
Data Browser
RESEARCH AND DEVELOPMENT
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San Pedro River Basin
Data Browser
Kenneth G. Boykin, T. Scott Schrader, Rachel K. Guy,
Andrea E. Ernst, Ashraf Nour el Sadek
Center for Applied Spatial Ecology
New Mexico Cooperative Fish and Wildlife Research Unit
Department of Fish, Wildlife and Conservation Ecology
New Mexico State University - Las Cruces, New Mexico
William G. Kepner
U.S. Environmental Protection Agency
National Exposure Research Laboratory
Environmental Sciences Division
Landscape Ecology Branch
Las Vegas, Nevada
Wilson W.S. Yee
Region 9, Watersheds Office
U.S. Environmental Protection Agency
San Francisco, California
NM
STATE
Center for Applied
Spatial Ecology
Although this work was reviewed by EPA and approved for publication, it may not necessarily reflect official
Agency policy. Mention of trade names and commercial products does not constitute endorsement or
recommendation for use.
U.S. Environmental Protection Agency
Office of Research and Development
Washington, DC 20460
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Suggested Citation:
Boykin, K.G., T.S. Schrader, R.K. Guy, W.G. Kepner, A.E. Ernst, A.N. el Sadek, and
W.W.S. Yee. 2012. San Pedro River Basin Data Browser. EPA/600/R-12/550. 19 Pp.
in
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IV
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ABSTRACT
Acquisition of primary spatial data and database development are initial features of any type of landscape
assessment project. They provide contemporary land cover and the ancillary datasets necessary to
establish reference condition and develop alternative future scenarios that serve as input variables for
various hydrological, habitat, economic, and natural resource models. The purpose of this database is to
provide a long-term record keeping (archiving) system with easy public access to an array of spatial data
for the entire San Pedro River Basin (U.S./Mexico). We collected spatial and tabular data that were freely
available on the Internet; processed data to create seamless datasets; and created land cover datasets at the
Ecological System thematic level and National Land Cover Dataset (NLCD) thematic level using
Classification and Regression Tree (CART) analysis.
Disclaimer
Users are advised that the majority of coverages within the database have been provided by a number of
other agencies. Verification of the quality and use of any data supplied via this product are the
responsibility of the user. This report has been subjected to the U.S. Environmental Protection Agency
peer and administrative review process and approved for publication.
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VI
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TABLE OF CONTENTS
LIST OF TABLES viii
LIST OF FIGURES viii
INTRODUCTION 1
APPROACH 2
Spatial and Tabular Collection from Freely Available Internet Sources 2
Data Processing and Co-registration (Including Metadata) 4
Land Cover Mapping 5
Organize Datasets and Supplementary Data and Operationalize into an
Online Data Browser 12
CONCLUSIONS 12
REFERENCES 13
APPENDICES 15
Appendix A. Data Inventory 15
Appendix B. List of Datasets Collected with Sources 16
Appendix C. Training Sites used Per Land Cover Class in Classification
and Regression Tree Modeling 19
vn
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LIST OF TABLES
Table 1. Integrated Climate and Land-Use Scenarios Categories Related to the IPCC
Emissions Storylines (U.S. Environmental Protection Agency 2009, Nakicenovic
and Swart 2000) 4
Table 2. List of ETM+ satellite images for use in land cover mapping of San Pedro Watershed 6
Table 3. Crosswalk of Ecological Systems and National Land Cover Dataset Classifications 11
LIST OF FIGURES
Figure 1. San Pedro Watershed River Basin (U.S./Mexico) 3
Figure 2. ETM+ Scenes for land cover mapping in the San Pedro Study Area 7
Figure 3. Mapping zone and San Pedro watershed boundary used for Classification
and Regression Tree (CART) land cover mapping 8
Figure 4. Ecological systems mapped for the San Pedro watershed study area using
Classification and Regression Tree (CART) analysis 9
Figure 5. National Land Cover Dataset mapped for the San Pedro watershed study area using
Classification and Regression Tree (CART) analysis 10
Vlll
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ACKNOWLEDGEMENTS
Support for this data browser and report were provided by the U.S. Environmental Protection Agency
(EPA), Region 9 and the Office of Research and Development. The report and database have been
subjected to the EPA peer and administrative review process and have been approved for publication. We
would like to also acknowledge the key reviewers, David C. Goodrich (USDA Agricultural Research
Service, Southwest Watershed Research Center, Tucson, AZ) and David F. Bradford (USEPA, Office of
Research and Development, Las Vegas, NV) for this report. Our thanks in particular go to Shea Burns
(USDA/ARS-SWRC) for assisting us with obtaining the ICLUS datasets.
IX
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INTRODUCTION
The San Pedro River Basin Data Browser was developed by the New Mexico Cooperative Fish and
Wildlife Research Unit (New Mexico State University, Las Cruces, NM) in conjunction with EPA Region
9 (San Francisco, CA) and the EPA Office of Research and Development (Landscape Ecology Branch,
Las Vegas, NV).
The goal of the EPA Landscape Sciences Program is to improve decision-making relative to
environmental management through the development of an integrated system of landscape metrics, spatial
statistics, and various process models. The program has operated simultaneously along two lines, 1) a
research component to develop and test landscape indicators and assessment protocols, and 2) an
implementation component to demonstrate the application of landscape analysis protocols to ecological
and hydrological assessments via geographic initiatives.
Acquisition of primary spatial data and database development are initial features of any landscape
assessment project. They provide contemporary land cover and the ancillary datasets necessary to
establish reference conditions and develop alternative future scenarios that serve as input variables for
various hydrological, habitat, economic, and natural resource models. The purpose of this database is to
provide a long-term record keeping (archiving) system with easy public access to an array of spatial data
for the entire San Pedro River Basin (approximately 9,800 km2) from the headwaters in Cananea, Sonora
to the confluence with the Gila River at Winkelman, Arizona (Figure 1). The upper watershed (Cananea,
Sonora to Redington, Arizona) encompasses an area of approximately 7,600 km2 (5,800 km2 in Arizona
and 1,800 km2 in Sonora, Mexico); the lower basin below Redington includes an additional 2,200 km2. A
similar geospatial database was developed specifically for the Upper San Pedro watershed during an
earlier research campaign (Kepner et al. 2003, http://www.epa.gov/nerlesdl/land-sci/san_pedro/).
The most important features developed by the New Mexico Cooperative Fish and Wildlife Research Unit
for this database are two digital land cover maps (and associated metadata files) generated from imagery
originally acquired via the Southwest Regional Gap Analysis Project (http://fws-
nmcfwru.nmsu.edu/swregap/). The source data are 30 m pixel resolution Landsat 7 ETM+ images
(Path/Row 35/37, 35/38, and 35/39) obtained during the spring, summer, and fall of 1999-2000. They
were assigned a coordinate system based on the information in their metadata and then put into a common
projection (UTM Zone 12, NAD83). The map products include a 34-class digital land cover map
classified to the Ecological System level of the National Vegetation Classification System
(http://earth.gis.usu.edu/swgap/data/atool/files/swgap_legend_desc.pdf) and an aggregated 10-class land
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cover map classified to Formation level of the National Land Cover Dataset (NLCD; Comer and Schulz
2007, Jennings et al. 2009).
The output of this project provides data elements (Appendix A and B) that include an online
database that will facilitate spatial analyses of physical, biological, and chemical functions of the
watershed.
APPROACH
Spatial and Tabular Collection from Freely Available Internet Sources
We collected spatial and tabular data from a variety of sources (See Appendix B). Data collection
consisted of searching the internet to identify spatial datasets applicable to the San Pedro Study Area
(Figure 1). We used an initial list of spatial datasets compiled by the EPA (Kepner et al. 2003,
http://www.epa.gov/nerlesdl/land-sci/san_pedro/). We collected additional datasets that were freely
available on the internet for inclusion. All datasets collected were assigned a coordinate system based on
the information in their metadata and then put into a common projection (UTM Zone 12, NAD83).
Datasets were exported to a shapefile (for vector datasets) or ESRI grid or ERDAS .img (for grid
datasets). Datasets were then compressed as individual .zip files using WinZIP 9.0. Soil Survey
Geographic (SSURGO) and State Soil Geographic (STATSGO, aka U.S. General Soil Map) data were
obtained from the USDA/NRCS Geospatial Data Gateway. Federal Geographic Data Committee (FGDC)
compliant metadata for new datasets were created after processing. Datasets covered the Arizona portion,
the Sonora portion, or the entire watershed (Entire Basin). Categorically, these included hydrological,
geological, elevation, and land cover (Appendix B).
Additionally, we downloaded the EPA Integrated Climate and Land Use Scenario (ICLUS v 1.3) datasets
(EPA 2009, 2010). The ICLUS datasets are in ESRI grid format (100 m resolution). The project housing
densities are in 10-year increments from the year 2010 to the year 2100, and based on five climate change
scenarios (Table 1): Al, Bl, A2, B2 and BC. The five scenarios represent different Intergovernmental
Panel on Climate Change (IPCC 2001) emission storylines related to population growth and economic
strategy (EPA 2009). This resulted in a total of 50 spatial datasets.
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Legend
\ i
15
1
30
I
60 Kilometers
UTM Zone 12
North American Datum 1983
Center for Applied
Spatial Ecology
Figure 1. San Pedro Watershed River Basin (U.S./Mexico)
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Table 1. Integrated Climate and Land-Use Scenarios Categories Related to the IPCC Emissions Storylines
(U.S. Environmental Protection Agency 2009, Nakicenovic and Swart 2000).
Scenario Description
R „ Baseline Condition. Medium fertility, medium domestic
migration, and medium international migration.
Low fertility, high domestic and international migration.
Al Fast economic growth, low population growth, and high
global integration.
Low fertility and domestic migration, high international
B1 migration. Globally integrated world with emphasis on
environmentally sustainable economic development.
High fertility and domestic migration, medium
. , international migration. Continued economic
development with regional focus and slower economic
convergence between regions.
Medium fertility and international migration, low
R? domestic migration. Regionally oriented world of
moderate population growth, local solutions to
environmental and economic issues.
Data Processing and Co-registration (Including Metadata)
Data that were of the same type with similar attributes (e.g., roads) were merged to form a seamless data
layer. This was only possible for vector coverages, roads, streams, and ownership as there were
differences in the United States and Mexico datasets. Standards used within the United States vary
depending on agency and focus. These differences increase when combining data from the United States
and Mexico. An example is the combined roads coverage for the study area. Discrepancies exist between
where each country identified the international border and the detail in which the roads were mapped.
Once datasets were downloaded, they were manipulated in ArcGIS 9.3 and ArcGIS 10 in order to clip the
data to the area of the San Pedro River Basin. Raster datasets were rescaled to a 30 m resolution. If data
were downloaded in subsets of the river basin, then each subset was mosaicked together in order to create
a seamless dataset prior to masking the data to the river basin.
Some datasets were too large to mosaic into seamless datasets. Both DRGs and DOQQs were
downloaded in their native format as MrSID rasters, a format meant to handle very large data.
Converting these datasets to ERDAS Imagine (.img) or .tiff formats would have resulted in a loss of
detail. Therefore, both DRGs and DOQQs were downloaded by county in order to be easily referenced
and retain detail.
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Once all datasets were collected they were projected to NAD 83 Albers UTM Zone 12 to create uniform
data in a common projection. After they were projected, metadata were created for each dataset using a
combination of the original metadata. We generated the metadata using the EPA Metadata Editor 3.1 and
validated it for completeness. All files were then zipped using WinZip 9.0.
Land Cover Mapping
We created a land cover map for the San Pedro Watershed using methods similar to the Southwest
Regional Gap Analysis Project (Prior-Magee et al. 2007) to derive an Ecological System level (Comer et
al. 2003) land cover map for the Entire Basin (Lowry et al. 2007a, Lowry et al. 2007b). We obtained
imagery (Landsat 7 ETM+) for the San Pedro Basin with dates (Table 2; Figure 2) similar to the
Southwest Regional Gap Analysis Project (1999 - 2001). Three seasons of imagery were used to
coincide with spring, summer, and fall. A mosaic of each season was created using ERDAS Imagine 8.6
for a larger area of southeastern Arizona, southwestern New Mexico, and Sonora, Mexico (Figure 3).
This included one mapping zone from SWReGAP (New Mexico Map Zone 3) and the San Pedro
watershed boundary. Imagery derived derivatives (e.g. tasseled cap datasets) were created for
Classification and Regression Tree (CART) modeling. The DEM and DEM derived datasets of slope,
aspect, and landform were also created from the Shuttle Radar Topography Mission (SRTM). Existing
training site datasets from the Southwest Regional Gap Analysis Project were used as training sites for
CART modeling. This included 1399 points for 26 land cover classes (Appendix C).
Modeling used ERDAS, CART Sampling Tool, and See5 software to generate the land cover map. The
final map was derived by using most of the training sites (99%) with < 1% used for validation. No
minimum samples were used. We used See5 to construct the classifier tree using a boost of 15 trials and
no global pruning (See methods in Lowry et al. 2007a). The output image was clumped using four
connected neighbors and eliminated any area less than 0.4 ha. Non-CART modeled classes were first
clustered using an unsupervised classification and then identified as urban, agriculture, open water, and
fire scar areas. These classes were pasted back into the final land cover map. We provide a dataset at the
broadest scale and another dataset clipped to the buffered San Pedro watershed boundary.
We used the SWReGAP land cover legend (see description of SWReGAP ecological systems at
http://earth.gis.usu.edu/swgap/data/atool/files/swgap legend desc.pdf). The resulting land cover dataset
had 34 land cover types in the study area (Figure 4). The ecological systems dataset was aggregated
(Table 3) to the National Land Cover Dataset (NLCD) dataset (Fry et al. 2011) with 10 land cover types
(Figure 5).
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No accuracy assessment was conducted on these datasets. However, Lowry et al. (2007a, 2007b) discuss
assessments using this protocol.
Table 2. List of ETM+ satellite images for use in land cover mapping of San Pedro Watershed.
Path/Row
Season
35/37
35/38
35/39
36/37
Spring
Summer
Fall
Spring
Summer
Fall
Spring
Summer
Fall
Spring
Summer
Fall
Date
5/7/2000
9/12/2000
11/13/1999
4/5/2000
9/12/2000
11/13/1999
04/05/2000
09/12/2000
11/13/1999
4/12/2000
6/15/2000
10/19/1999
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37/37
I ' ' i I/I :
0 20 40 / 80 Kilonieters
Figure 2. Landsat ETM+ Scenes for land cover mapping in the San Pedro Study Area.
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Legend
^ San Pedro Watershed Boundary
SWReGAP Mapping Zone 3
Sonera
l '
30
I '
60
I
120 Kilometers
Chihuahua
UTMZone12
North American Datum 1983
CASE
•-(•? -far Applied
^ifcl Ecc.uogy
Figure 3. Mapping zone and San Pedro watershed boundary used for Classification and Regression Tree
(CART) land cover mapping.
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Legend
San Pedro (ES-CARTJ2
| J ApjchgriJn-Chihu.-iliiian Mesquite iJ^nnriCtnib
[ 1 npadiBiian^Chllmalman PwdnrantS«i»D«wt Grassland and 5i
| \ Cninuahuan Mfcrad Salt De-ssrt Sciiib
| 1 r^ihuonuon Candy Plains 5Bmi-DB5B(|f3ia55larid
| 1 Ctilhuahgan Stablteed Cnpplcs Duno and Sand Flai Scrub
r j Chihushuan Succulent Desert Sefljb
[ I Qiinuarmjin-Sonci.-fln C'swrt Bottomland and S«al« r-.r;is.5land
Bcobiarfo Pbtwu Miud Bad nek Canyon and TabWand
l>velc|ied Medium- Higli Inttnsity
| | Dsvebped Open Space - Low Inaenaity
I iMBdtBan Encmal
| | Madieen Pinycn-Junipa- Wfoodland
m MsgoBon Chaparral
j J H.jith American to\a '."*« Eniergail Marsh
L^^ Morth American '/ijarm Desert Bedrock Cliff and Oirtc'
|^| North Amarkon iiVEum Desert Lmier Montane Riparian Woodland
1 | Mirth American >tonn Desert Pavement
| ] Norlft Amerkan ifiatm Desert Riparian Mesqute Bosque
IB North American Warm Desert Riparian Wood and and ShmMand
^^Nc.Hf.AmerKan',VamD««t'./cilconl-;RcicH!inri
| | North American '/garin Desert tffesh
^^| np«-, L'\i.Tt*r
[ 1 Rpchy Mountain Aspen Fwast and n'roiKlland
j'^jRorty Mountain Pondeiosaa Pine'/Poland
f~~l GB2? Chihuahunn Creo5t«ebush Basin Desert Scrub
|5I Sonora-Mfljwa Ctwsotetaisn-Wliil* eiiirag* 0«««tt Snub
[ J £arx>iaiiM»d-Elevation D*s«i1S
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Legend
San Pedro (NLCD-CART)2
I AKared or Disturbed
I 1 term bndt
r I DsckHous ForsH
| | Developed or Agricurfciis
| lEmwBBntHaibocaoliii/^tlnn
^^| Ev«Fgr«*n FOI*SI
UTM2one12
North American Datum 1983
10
I
20
I
40 Kilometers
CASE
Center for Applect
Soatial Ecology
Figure 5. National Land Cover Dataset mapped for the San Pedro watershed study area using
Classification and Regression Tree (CART) analysis.
10
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Table 3. Crosswalk of Ecological Systems and National Land Cover Dataset Classifications.
Code
S016
S010
S021
S019
S112
S036
S038
805 1
S035
Sill
S023
S069
S057
S116
S058
S061
S129
S062
S063
S068
S077
S113
S115
S097
S098
S020
S094
S100
D03
D04
N22
N80
N21
Nil
NLCD Description
Barren Lands
Barren Lands
Barren Lands
Barren Lands
Evergreen Forest
Evergreen Forest
Evergreen Forest
Evergreen Forest
Evergreen Forest
Evergreen Forest
Deciduous Forest
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Grassland/Herbaceous
Grassland/Herbaceous
Grassland/Herbaceous
Woody Wetland
Woody Wetland
Woody Wetland
Woody Wetland
Emergent Herbaceous Wetland
Altered or Disturbed
Altered or Disturbed
Developed or Agriculture
Developed or Agriculture
Developed or Agriculture
Other Cover Lypes
SWReGAP Land Cover Description
North American Warm Desert Bedrock Cliff and Outcrop
Colorado Plateau Mixed Bedrock Canyon and Lableland
North American Warm Desert Pavement
North American Warm Desert Volcanic Rockland
Madrean Pinyon- Juniper Woodland
Rocky Mountain Ponderosa Pine Woodland
Southern Rocky Mountain Pinyon- Juniper Woodland
Madrean Encinal
Madrean Pine-Oak Forest and Woodland
Madrean Upper Montane Conifer-Oak Forest and Woodland
Rocky Mountain Aspen Forest and Woodland
Sonora-Mojave Creosotebush- White Bursage Desert Scrub
Mogollon Chaparral
Chihuahuan Mixed Salt Desert Scrub
Apacherian-Chihuahuan Mesquite Upland Scrub
Chihuahuan Succulent Desert Scrub
Sonoran Mid-Elevation Desert Scrub
Chihuahuan Creosotebush, Mixed Desert and Lhom Scrub
Sonoran Paloverde-Mixed Cacti Desert Scrub
Chihuahuan Stabilized Coppice Dune and Sand Flat Scrub
Apacherian-Chihuahuan Piedmont Semi-Desert Grassland and
Steppe
Chihuahuan Sandy Plains Semi-Desert Grassland
Madrean Juniper Savanna
North American Warm Desert Riparian Woodland and Shrubland
North American Warm Desert Riparian Mesquite Bosque
North American Warm Desert Wash
North American Warm Desert Lower Montane Riparian Woodland
and Shrubland
North American Arid West Emergent Marsh
Recently Mined or Quarried
Invasive Southwest Riparian Woodland and Shrubland
Developed, Medium - High Intensity
Agriculture
Developed, Open Space - Low Intensity
Open Water
%of
Area
0.7%
4.9%
0.1%
0.2%
4.4%
10.2%
3.1%
0.9%
1.2%
0.2%
4.3%
12.1%
2.3%
0.9%
6.5%
0.0%
1.1%
5.6%
8.1%
1.2%
9.3%
0.2%
0.2%
0.1%
0.2%
0.1%
0.1%
0.2%
0.3%
0.3%
1.5%
15.7%
1.5%
2.3%
11
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Organize Datasets and Supplementary Data and Operationalize into an Online Data Browser
All datasets collected were uploaded to a project website. These were organized by pages in
order to provide an intuitive and user-friendly navigation environment. Main categories covered
in separate webpages (and subsets thereof) included the home page with an introduction to the
project, the GIS datasets, contact information, related links and references to the project such as
to SWReGAP, and a copy of this document.
Datasets were organized by their category: Land Cover, Hydrology, Elevation/Geology,
Ancillary, and Integrated Climate and Land Use Scenarios (ICLUS).
These were arranged in a table under each category. Columns in the table include the name of
the dataset, the locality of the dataset ("Arizona", "Mexico", or "Entire Basin"), the file format, a
link to an image of the dataset in JPEG format, a link to metadata for the dataset in HTML
format, and a link to the online source of the dataset. ICLUS, however, links to a separate
webpage where the datasets are organized by scenario and year.
CONCLUSIONS
Land cover datasets were created for the San Pedro watershed. The two thematic scales at which these
data were created provide a baseline for alternative futures work similar to Steinitz et al. (2003) and
hydrological analysis similar to Kepner et al. (2004). Furthermore, these datasets provide base datasets
for habitat modeling as conducted in Boykin et al. (2007) and Boykin et al. (2008).
Additionally, we made available seamless Integrated Climate and Land Use Scenarios, elevation,
geology, hydrology, satellite imagery, and ancillary datasets. Finally, these datasets were uploaded and
organized into an online data browser in order to be easily accessible for public access and download. The
datasets created from this effort also support and extend the datasets previously collected as part of The
San Pedro River Geo-data Browser and Assessment Tools (Kepner et al. 2003,
http://www.epa.gov/nerlesdl/land-sci/san_pedro/).
12
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REFERENCES
Boykin, K.G., B.C. Thompson, R.A. Deitner, D. Schrupp, D. Bradford, Lee O'Brien, C. Drost, S. Propeck-Gray, W.
Rieth, K. Thomas, W. Kepner, J. Lowry, C. Cross, B. Jones, T. Hamer, C. Mettenbrink, KJ. Oakes, J.
Prior-Magee, K. Schulz, J. J. Wynne, C. King, J. Puttere, S. Schrader, and Z. Schwenke. 2007. Predicted
Animal Habitat Distributions and Species Richness. Chapter 3 in J.S. Prior-Magee, ed. Southwest Regional
Gap Analysis Final Report. U.S. Geological Survey, Gap Analysis Program, Moscow, ID. Available on-
line at: http://fws-nmcfwru.nmsu.edu/swregap/.
Boykin, K.G., D.F. Bradford, and W.G. Kepner. 2008. Habitat Distribution Models for 37 Vertebrate Species in the
Mojave Desert Ecoregion of Nevada, Arizona, and Utah. U.S. Environmental Protection Agency, Office of
Research and Development (EPA/600/R-08/117, 124 pp.).
Comer, P., D. Faber-Langendoen, R. Evans, S. Gawler, C. Josse, G. Kittel, S. Menard, S. Pyne, M. Reid, K. Schulz,
K. Snowand, and J. Teague, 2003. Ecological systems of the United States: A working classification of
U.S. terrestrial systems. NatureServe, Arlington, Virginia.
http://www.natureserve.org/librarv/usEcologicalsvstems.pdf
Comer, PJ. and Schulz, K.A. 2007. Standardized Ecological Classification Mesoscale Mapping in the Southwestern
United States. Rangeland Ecology and Management 60:324- 335.
Fry, J., Xian, G., Jin, S., Dewitz, J., Homer, C., Yang, L., Barnes, C., Herold, N., and Wickham, J. 2011.
Completion of the 2006 National Land Cover Database for the Conterminous United States,
Photogrammetric Engineering & Remote Sensing 77(9):858-864.
IPCC 2001. Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment
Report of the Intergovernmental Panel on Climate Change (Cambridge University Press, Cambridge, UK).
881 pp.
Jennings, M.D., Faber-Langendoen, D., Loucks, O.L., Peet, R. K., and Roberts, D. 2009. Standards for Associations
and Alliances of the U.S. National Vegetation Classification. Ecological Monographs 79(2): 173-199.
Kepner, W.G., D.J. Semmens, S.D. Bassett, D.A. Mouat, and D.C. Goodrich. 2004. Scenario Analysis for the San
Pedro River, Analyzing Hydrological Consequences of a Future Environment. Environmental Monitoring
and Assessment 94:115-127.
Kepner, W. G., D. J. Semmens, D. T. Heggem, E. J. Evanson, C. M. Edmonds, S. N. Scott, and D.W. Ebert. 2003.
The San Pedro River Geo-data Browser and Assessment Tools. EPA/600/C-03/008; ARS/152432
(http://www.epa.gov/nerlesdl/land-sci/san_pedro/).
Lowry, J. H, Jr., R. D. Ramsey, K. A. Thomas, D. Schrupp, W. Kepner, T. Sajwaj, J. Kirby, E. Waller, S. Schrader,
S. Falzarano, L. Langs, G. Manis, C. Wallace, K. Schulz, P. Comer, K. Pohs, W. Rieth, C. Velasquez, B.
Wolk, K., Boykin, L. O'Brien, J. Prior-Magee, D. Bradford, and B. Thompson. 2007a. Land cover
classification and mapping. Chapter 2 in J.S. Prior-Magee, ed. Southwest Regional Gap Analysis Final
Report. U.S. Geological Survey, Gap Analysis Program, Moscow, ID. Available on-line at: http://fws-
nmcfwru.nmsu.edu/swregap/.
Lowry, J. R. Ramsey, K. Thomas, D. Schrupp, T. Sajwaj, J. Kirby, E. Waller, S. Schrader, S. Falzarano, L. Langs,
G. Manis, C. Wallace, K. Schulz, P. Comer, K. Pohs, W. Rieth, C. Velasquez, B. Wolk, W. Kepner, K.
Boykin, L. O'Brien, D. Bradford, B. Thompson, and J. Prior-Magee. 2007b. Mapping moderate-scale
land-cover over very large geographic areas within a collaborative framework: A case study of the
Southwest Regional Gap Analysis Project (SWReGAP). Remote Sensing of Environment 108:59-73.
Nakicenovic N., and Swart R., eds. 2000. Special Report on Emissions Scenarios (Cambridge University Press,
Cambridge, UK). 570pp.
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Prior-Magee, J.S., K.G. Boykin, D.F. Bradford, W.G. Kepner, J.H. Lowry, D.L. Schrupp, K.A. Thomas, and B.C.
Thompson, Editors. 2007. Southwest Regional Gap Analysis Project Final Report. U.S. Geological
Survey, Gap Analysis Program, Moscow, ID.
Steinitz, C., H. Arias, S. Bassett, M. Flaxman, T. Goode, T. Maddock, D. Mouat, R. Peiser, and A. Shearer. 2003.
Alternative futures for changing landscapes: the Upper San Pedro River Basin Arizona and Sonora. Covelo,
CA. Island Press.
U.S. Environmental Protection Agency (EPA). 2009. Land-Use Scenarios: National-Scale Housing-Density
Scenarios Consistent with Climate Change Storylines. Global Change Research Program, National Center
for Environmental Assessment, Washington, DC; EPA/600/R-08/076F. Available from: National Technical
Information Service, Springfield, VA, and online at
http://cfpub.epa.gov/ncea/global/recordisplav.cfm?deid=203458.
U.S. Environmental Protection Agency. 2010. ICLUS VI.3 User's Manual: ARCGIS Tools for Modeling US
Housing Density Growth. U.S. Environmental Protection Agency, Global Change Research Program,
National Center for Environmental Assessment, EPA/600/R-09/143F.
http://cfpub.epa.gov/ncea/global/recordisplav.cfm?deid=205305.
14
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APPENDICES
Appendix A. Data Inventory
There are a number of data elements associated with the San Pedro River Data Browser
(http://fws-case-12.nmsu.edu/SanPedro/). All data are provided in WinZIP 9.0 compressed zip files.
Data elements include:
1. Data Collection
• Minimum of 30 datasets and associated metadata for use in subsequent tasks.
2. Data Process
• Zip files of seamless datasets and associated metadata
3. Land Cover Mapping
• Land cover map for San Pedro River Basin study area
o Ecological System Level similar to product for SWReGAP
o NLCD Classification
• Combined DEM for San Pedro River Basin Study Area
• FGDC metadata for delivered geospatial datasets
4. Summary report describing methods, processing, and data
15
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Appendix B. List of datasets collected with sources.
Data
Type
Ancillary
Census
DEM/
Derivatives
DOQQ
DRG
Area
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Sonora
Sonora
Entire Basin
Entire Basin
Entire Basin
Entire Basin
Entire Basin
Arizona
Arizona
Sonora
Entire Basin
Entire Basin
Entire Basin
Entire Basin
Entire Basin
Southern AZ
and Sonora
Southern AZ
and Sonora
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Dataset
AZ Roads
AZ Non-Populated Names
AZ Geographic Names
Populated
AZ Quad 12k
AZ Quad 24k
AZ County
Sonora Place names
SO Roads
SP Quad 100k
SP Quad 250k
SP Study Area
SP Roads
SP Names
AZ Census Tracts
AZ Urban Areas
SO Population Centers
SP Aspect
SPDEM
SP Hillshade
SP Slope
SP DEM (filled)
Shuttle Radar Topography
Mission (SRTM)
Landform
Final County DOQQs
Cochise County DOQQs
Graham County DOQQs
Pima County DOQQs
Santa Cruz County DOQQs
Final County DRGs
Cochise County DRGs
Graham County DRGs
Source
United States Department of Transportation
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
http : //datagateway . nrc s. usda. go v/
http : //datagateway . nrc s. usda. go v/
http://www.epa.gov/esd/land-sci/san pedro/geodata/arizona.html
http://www.epa.gov/nerlesdl/land-sci/san pedro/geodata/sonora
http://www.epa.gov/esd/land-sci/san pedro/geodata/sonora.html
http://datagateway.nrcs.usda.gov/
http://datagateway.nrcs.usda.gov/
Created for this project
Created for this project
Created for this project
http://arcdata.esri.com/data/tiger2000/tiger statelayer.cfm?sfips=04
http://arcdata.esri.com/data/tiger2000/tiger statelayer.cfm?sfips=04
http://www.epa.gov/nerlesdl/land-sci/san pedro/geodata/sonora
http://seamless.usgs.gov/ for Arizona
http://seamless.usgs.gov/ for Arizona
http://seamless.usgs.gov/ for Arizona
http://seamless.usgs.gov/ for Arizona
http://seamless.usgs.gov/ for Arizona
SRTM elevation dataset created for this project
Landform dataset created from SRTM elevation dataset
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
http://datagateway.nrcs.usda.gov
16
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Data
Type
Area
Dataset
Source
Geology
Land
Ownership
Arizona Pima County DRGs
Arizona Santa Cruz County DRGs
Arizona AZ Geology
Arizona AZ NHD Flowline
Arizona AZ NHD Area
Arizona AZ NHD Point
Arizona AZ NHD Waterbodv
Arizona streamgages_project.htm
Arizona AZ 8-Digit HUCs
SO Streams
SP Accumulation
Flow Direction
SP Subwatersheds
SP Streams
Ecological Systems
National Land Cover
Dataset
National Land Cover
Dataset
Arizona AZ Allotment
Arizona AZ Pasture
Arizona AZ PLSS USA
Arizona AZ PLSS COUNTY
Arizona SWReGAP Ownership
Arizona SWReGAP Management
Status
Arizona SWReGAP Stewardship
Sonora SO Private
Sonora SO Ejido
Sonora SO Ownership
Entire Basin SP Ownership
Hydrology
Sonora
Entire Basin
Entire Basin
Entire Basin
Entire Basin
Land Cover Entire Basin
Entire Basin
Southern AZ
and Sonora
http://datagatewav.nrcs.usda.gov
http://datagatewav.nrcs.usda.gov
http://pubs.usgs.gov/of/2005/1305
http://www.horizon-svstems.com/nhdplus/HSC-wthCO.php
http://www.horizon-svstems.com/nhdplus/HSC-wthCO.php
http://www.horizon-svstems.com/nhdplus/HSC-wthCO.php
http://www.horizon-svstems.com/nhdplus/HSC-wthCO.php
http://nationalatlas.gov/atlasftp.htmltfrealstx
http://datagateway.nrcs.usda.gov,
http://www.blm.gov/az/st/en/prog/maps/gisjiles.html
http://www.epa.gov/nerlesdl/land-sci/san_pedro/geodata/sonora
http://seamless.usgs.gov/ for Arizona
http://seamless.usgs.gov/ for Arizona
http://seamless.usgs.gov/ for Arizona
Created for this project
Created for this project using classification and regression tree
(CART)
Created for this project using classification and regression tree
(CART)
Created for this project using classification and regression tree
(CART)
http://www.fs.fed.us/r3/gis/cor_gis.shtml
http://www.fs.fed.us/r3/gis/cor_gis.shtml
http://nationalatlas.gov/atlasftp.html?
http://www. geocommunicator. gov/
GeoComm/lsis_home/home/index. shtm
Southwest Regional Gap Analysis Project Stewardship Digital Data
http://fws-nmcfwru.nmsu.edu/swregap/
Southwest Regional Gap Analysis Project Stewardship Digital Data
http://fws-nmcfwru.nmsu.edu/swregap/
Southwest Regional Gap Analysis Project Stewardship Digital Data
http://fws-nmcfwru.nmsu.edu/swregap/
http://www.epa.gov/nerlesdl/land-sci/sanj3edro/geodata/sonora
http://www.epa.gov/nerlesdl/land-sci/san_pedro/geodata/sonora
Created for this project
Created for this Project
17
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Data
Type
Satellite
Imagery
and
Derivatives
Soils
Weather
ICLUS
vl.3
(Integrated
Climate
and Land
Use
Scenarios;
2010-2100)
Area
Southern AZ
and Sonora
Southern AZ
and Sonora
Southern AZ
and Sonora
Southern AZ
and Sonora
Southern AZ
and Sonora
Southern AZ
and Sonora
Arizona
Arizona
Entire Basin
Arizona
Arizona
Dataset
Spring
Spring Tasselled Cap
Summer
Summer Tasselled Cap
Fall
Fall Tasselled Cap
AZ SSURGO
AZ STATSGO
SP FAQ Soils
AZ NWS Gauges
Housing density allocated
at 1 ha resolution
Source
ETM+ mosaic created for this project
Tasselled cap transformation of ETM+ mosaic created for this
project
ETM+ mosaic created for this project
Tasselled cap transformation of ETM+ mosaic
project
ETM+ mosaic created for this project
Tasselled cap transformation of ETM+ mosaic
project
http://soils.usda.gov/survev/2eographv/ssurgo/.
created for this
created for this
http://www.soils.usda.gov/survev/geographv/statsgo/
Land and Water Development Division, FAO
http://cfpub.epa.gov/ncea/global/recordisplav. cfm?deid=205305
18
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Appendix C. Training Sites used per land cover class in Classification and Regression Tree Modeling.
Value
15
18
19
20
22
33
35
45
51
52
55
56
57
56
59
65
80
83
84
85
90
91
92
93
95
96
Code
S016
S019
S020
S021
S023
S035
S038
S051
S057
S058
S061
S062
S063
S067
S068
S077
S094
S097
S098
S100
S109
Sill
S112
S113
S115
S116
NLCD Description
Barren Lands
Barren Lands
Woody Wetland
Barren Lands
Deciduous Forest
Evergreen Forest
Evergreen Forest
Evergreen Forest
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Shrub/Scrub
Grassland/Herbaceous
Woody Wetland
Woody Wetland
Woody Wetland
Emergent Herbaceous
Wetland
Grassland/Herbaceous
Evergreen Forest
Evergreen Forest
Grassland/Herbaceous
Grassland/Herbaceous
Shrub/Scrub
SWReGAP Land Cover Description
North American Warm Desert Bedrock Cliff and Outcrop
North American Warm Desert Volcanic Rockland
North American Warm Desert Wash
North American Warm Desert Pavement
Rocky Mountain Aspen Forest and Woodland
Madrean Pine-Oak Forest and Woodland
Southern Rocky Mountain Pinyon- Juniper Woodland
Madrean Encinal
Mogollon Chaparral
Apacherian-Chihuahuan Mesquite Upland Scrub
Chihuahuan Succulent Desert Scrub
Chihuahuan Creosotebush, Mixed Desert and Thorn Scrub
Sonoran Paloverde-Mixed Cacti Desert Scrub
Chihuahuan Creosotebush Basin Desert Scrub mapped as
S62 in SWReGAP
Chihuahuan Stabilized Coppice Dune and Sand Flat Scrub
Apacherian-Chihuahuan Piedmont Semi-Desert Grassland
and Steppe
North American Warm Desert Lower Montane Riparian
Woodland and Shrubland
North American Warm Desert Riparian Woodland and
Shrubland
North American Warm Desert Riparian Mesquite Bosque
North American Arid West Emergent Marsh
Chihuahuan-Sonoran Desert Bottomland and Swale
Grassland
Madrean Upper Montane Conifer-Oak Forest and Woodland
Madrean Pinyon- Juniper Woodland
Chihuahuan Sandy Plains Semi-Desert Grassland
Madrean Juniper Savanna
Chihuahuan Mixed Salt Desert Scrub
Training
Sites
13
10
14
10
1
20
1
128
44
154
6
160
9
47
35
322
11
6
24
5
186
5
82
19
13
74
19
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July 2012
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