patrickbdevaney/mia9 · Datasets at Hugging Face

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Department of Environmental Protection 2011)
FNAI ¼ Florida Natural Areas Inventory; CLIP ¼ Critical Lands and Water Identification Project; FWC ¼ Florida Fish and Wildlife Conservation
Commission.
Impacts of Urbanization and Sea Level Rise S.S. Romanach et al. ˜
Journal of Fish and Wildlife Management \| www.fwspubs.org June 2020 \| Volume 11 \| Issue 1 \| 176
Downloaded from http://meridian.allenpress.com/jfwm/article-pdf/11/1/174/3103287/i1944-687x-11-1-174.pdf by guest on 29 February 2024
regionally because of differences in factors such as
changes in ocean current, surface winds, and expansion
of warming water (Church et al. 2013); therefore, SLR
values provided below are given as the ranges provided
within Florida by the UF GeoPlan Center.
The resulting six scenarios are as follows:
1) 2040 Urban Int SLR: intermediate SLR (0.15–0.21 m)
with Florida 2060’s modified urbanization projection
for 2040,
2) 2040 Urban High SLR: high SLR (0.36–0.40 m) with
Florida 2060’s modified urbanization projection for
2040,
3) 2070 Alt Urban Int SLR: intermediate SLR (0.30–0.40 m)
with Florida 2070’s alternative urbanization projection
for 2070,
4) 2070 Alt Urban High SLR: high SLR (0.82–0.91 m) with
Florida 2070’s alternative urbanization projection for
2070,
5) 2070 Trend Urban Int SLR: intermediate SLR (0.30–0.40
m) with Florida 2070’s trend urbanization projection
for 2070, and
6) 2070 Trend Urban High SLR: high SLR (0.82–0.91 m)
with Florida 2070’s trend urbanization projection for
2070.
Workflow
We developed a workflow with points of evaluation to
determine adequate representation and quality of input
data. We clipped each input conservation target (Table 1)
to its respective Priority Resource. Because the objective
is to examine the susceptibility of the Priority Resources
to future urbanization, we removed areas overlapping
with the FL2070 2010 baseline urban layer from the
input data to calculate accurate estimates of areas lost to
future urbanization. For each prepared set of input data,
we spatially extracted the urbanization and SLR projections according to the six model scenarios. The results
Figure 1. Study objective was to model susceptibility scenarios resulting from urbanization and sea level rise to understand their
potential future impacts on the Peninsular Florida Landscape Conservation Cooperative (PFLCC) conservation targets, completed in
2018. The PFLCC spans most of Florida. Portions of the South Atlantic Landscape Conservation Cooperative (SALCC) and the Gulf
Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPOLCC) also fall within the State of Florida. Hashed lines denote
the state of Florida.
Impacts of Urbanization and Sea Level Rise S.S. Romanach et al. ˜
Journal of Fish and Wildlife Management \| www.fwspubs.org June 2020 \| Volume 11 \| Issue 1 \| 177
Downloaded from http://meridian.allenpress.com/jfwm/article-pdf/11/1/174/3103287/i1944-687x-11-1-174.pdf by guest on 29 February 2024
are spatial composites for each of the six scenarios (Data
A9, Archived Material). For each spatial composite and for
the baselines with 2010 urban areas removed, we
calculated the areas classified as either CLIP Aggregate
Priority 1 or 2, the highest conservation priorities for the
state (Oetting et al. 2016). We also calculated the
percentage of area removed due to urbanization and
SLR, relative to the baseline.
Results
Across all scenarios, we noted that the loss in area due
to urbanization and SLR was more pronounced in the
2070 than in the 2040 scenarios for all Priority Resources:
High Pine and Scrub, Coastal Uplands, and Freshwater
Aquatics (Tables 2–4). Overall, projections indicate SLR
will have a greater impact than urbanization, largely
through losses to Coastal Uplands (Figure 2). Outputs are
available online as a U.S. Geological Survey data release
(http://doi.org/10.5066/P99EQGZW).
For the High Pine and Scrub Priority Resource (Table
2), we found a small effect of urbanization and SLR
scenarios on protected area status and Ecological
Greenways (ecologically connected public and private
conservation lands). There was also a general trend of
greater percentage of area lost due to urbanization and
SLR for the species-based targets (gopher tortoise
Table 2. Study objective was to model susceptibility scenarios resulting from urbanization and sea level rise (SLR) to understand
their potential future impacts on the Peninsular Florida Landscape Conservation Cooperative conservation targets, completed in
2018. The area (km2
) and percent (%) decrease in area of each model input (i.e., conservation target) for the High Pine and Scrub
Priority Resource for each future model scenario of urbanization (Urban) and SLR. The baseline area of target represents the current
extent of the input model data with the 2010 urban baseline extracted. Each area and percent decrease in area is represented for
Critical Lands and Waters Identification Project Priority 1 and 2 (CLIP P1 and CLIP P2, respectively). The CLIP Landscape Integrity
Index values 8 (high ecological integrity) and Florida Ecological Greenways Network Priority 1 (P1 ¼ Critical Linkages) were used
for calculations. We also present the area and percent change in area for the entire High Pine and Scrub Priority Resource for CLIP P1
and CLIP P2.
Model data and scenario
High Pine
and Scrub
Priority
Resource
Protected
status
Landscape
Integrity
(8)
Ecological
Greenways
(P1)
Gopher
tortoise
Red-cockaded

Department of Environmental Protection 2011)

FNAI ¼ Florida Natural Areas Inventory; CLIP ¼ Critical Lands and Water Identification Project; FWC ¼ Florida Fish and Wildlife Conservation

Commission.

Impacts of Urbanization and Sea Level Rise S.S. Romanach et al. ˜

Journal of Fish and Wildlife Management | www.fwspubs.org June 2020 | Volume 11 | Issue 1 | 176

Downloaded from http://meridian.allenpress.com/jfwm/article-pdf/11/1/174/3103287/i1944-687x-11-1-174.pdf by guest on 29 February 2024

regionally because of differences in factors such as

changes in ocean current, surface winds, and expansion

of warming water (Church et al. 2013); therefore, SLR

values provided below are given as the ranges provided

within Florida by the UF GeoPlan Center.

The resulting six scenarios are as follows:

1) 2040 Urban Int SLR: intermediate SLR (0.15–0.21 m)

with Florida 2060’s modified urbanization projection

for 2040,

2) 2040 Urban High SLR: high SLR (0.36–0.40 m) with

Florida 2060’s modified urbanization projection for

2040,

3) 2070 Alt Urban Int SLR: intermediate SLR (0.30–0.40 m)

with Florida 2070’s alternative urbanization projection

for 2070,

4) 2070 Alt Urban High SLR: high SLR (0.82–0.91 m) with

Florida 2070’s alternative urbanization projection for

2070,

5) 2070 Trend Urban Int SLR: intermediate SLR (0.30–0.40

m) with Florida 2070’s trend urbanization projection

for 2070, and

6) 2070 Trend Urban High SLR: high SLR (0.82–0.91 m)

with Florida 2070’s trend urbanization projection for

2070.

Workflow

We developed a workflow with points of evaluation to

determine adequate representation and quality of input

data. We clipped each input conservation target (Table 1)

to its respective Priority Resource. Because the objective

is to examine the susceptibility of the Priority Resources

to future urbanization, we removed areas overlapping

with the FL2070 2010 baseline urban layer from the

input data to calculate accurate estimates of areas lost to

future urbanization. For each prepared set of input data,

we spatially extracted the urbanization and SLR projections according to the six model scenarios. The results

Figure 1. Study objective was to model susceptibility scenarios resulting from urbanization and sea level rise to understand their

potential future impacts on the Peninsular Florida Landscape Conservation Cooperative (PFLCC) conservation targets, completed in

2018. The PFLCC spans most of Florida. Portions of the South Atlantic Landscape Conservation Cooperative (SALCC) and the Gulf

Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPOLCC) also fall within the State of Florida. Hashed lines denote

the state of Florida.

Impacts of Urbanization and Sea Level Rise S.S. Romanach et al. ˜

Journal of Fish and Wildlife Management | www.fwspubs.org June 2020 | Volume 11 | Issue 1 | 177

Downloaded from http://meridian.allenpress.com/jfwm/article-pdf/11/1/174/3103287/i1944-687x-11-1-174.pdf by guest on 29 February 2024

are spatial composites for each of the six scenarios (Data

A9, Archived Material). For each spatial composite and for

the baselines with 2010 urban areas removed, we

calculated the areas classified as either CLIP Aggregate

Priority 1 or 2, the highest conservation priorities for the

state (Oetting et al. 2016). We also calculated the

percentage of area removed due to urbanization and

SLR, relative to the baseline.

Results

Across all scenarios, we noted that the loss in area due

to urbanization and SLR was more pronounced in the

2070 than in the 2040 scenarios for all Priority Resources:

High Pine and Scrub, Coastal Uplands, and Freshwater

Aquatics (Tables 2–4). Overall, projections indicate SLR

will have a greater impact than urbanization, largely

through losses to Coastal Uplands (Figure 2). Outputs are

available online as a U.S. Geological Survey data release

(http://doi.org/10.5066/P99EQGZW).

For the High Pine and Scrub Priority Resource (Table

2), we found a small effect of urbanization and SLR

scenarios on protected area status and Ecological

Greenways (ecologically connected public and private

conservation lands). There was also a general trend of

greater percentage of area lost due to urbanization and

SLR for the species-based targets (gopher tortoise

Table 2. Study objective was to model susceptibility scenarios resulting from urbanization and sea level rise (SLR) to understand

their potential future impacts on the Peninsular Florida Landscape Conservation Cooperative conservation targets, completed in

2018. The area (km2

) and percent (%) decrease in area of each model input (i.e., conservation target) for the High Pine and Scrub

Priority Resource for each future model scenario of urbanization (Urban) and SLR. The baseline area of target represents the current

extent of the input model data with the 2010 urban baseline extracted. Each area and percent decrease in area is represented for

Critical Lands and Waters Identification Project Priority 1 and 2 (CLIP P1 and CLIP P2, respectively). The CLIP Landscape Integrity

Index values 8 (high ecological integrity) and Florida Ecological Greenways Network Priority 1 (P1 ¼ Critical Linkages) were used

for calculations. We also present the area and percent change in area for the entire High Pine and Scrub Priority Resource for CLIP P1

and CLIP P2.

Model data and scenario

High Pine

and Scrub

Priority

Resource

Protected

status

Landscape

Integrity

(8)

Ecological

Greenways

(P1)

Gopher

tortoise

Red-cockaded