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Modeling Complex Interactions of Overlapping River and Road
Networks in a Changing Landscape
Programmatic overview
Hypothesis
Preliminary findings
NSF BIOCOMPLEXITY IN THE ENVIRONMENT FY 2003 SPECIAL COMPETITION
DYNAMICS OF COUPLED NATURAL AND HUMAN SYSTEMS
LARGE RESEARCH PROPOSALS
• 249 Biocomplexity proposals
• 74 Coupled Natural & Human systems– 6 “High priority” funding (8%)
NSF Emphasis• Integrate different disciplines• Apply modern technology
– Data acquisition• Remote sensing, DNA….
– Information management• Public access to data, monitoring
• 5 year rule
• Public relevance – Pure vs applied science
Solution RFP’s for Integrated Research Proposals
• Multidisciplinary research teams focused on broad proposals
• Environmental Molecular Science Institutes– Chemists & environmental scientists & industry
• Biocomplexity– Complex biological interactions over range of
spatial and temporal scales– Beyond biodiversity; interactions
Successful proposals must
• Address the inherent complexity and highly coupled nature of relevant natural and human systems as well as their interactions
• Describe plans for the work of interdisciplinary teams from the natural, social, mathematical sciences, engineering, and education – Whose coordinated work will enhance
theoretical understanding
Projects must include
• Quantitative approaches or advanced conceptual models
• Specific plans for education – Graduate students– Road seminar – K-12 education program
Evaluation Criteria • Strength of the collaborations planned and
degree of interdisciplinary• Effectiveness of the group organization and
management plan• Value to education in these topical areas• Strength of the dissemination plans• Extent, effectiveness, and long-term potential
of collaborations with industries, national laboratories, and comparable research centers abroad, when appropriate.
• Our main overarching hypothesis is that an integrated individual-based model will more accurately predict environmental effects than any single physical, biotic or social model by reducing unexplained variation.
Rio Grande de Loiza
Rio Fajardo
Rio Espiritu Santo
Canal Blasina
Rio Mameyes
Rio Herrera
Rio Sabana
Rio Pitahaya Rio Juan Martin
Rio Fajardo
Rio Espiritu Santo Rio Mameyes
Legend
Drains2
Streams
Feature Type
APPARENT LIMIT
CLOSURE LINE
DAM OR WEIR
DITCH OR CANAL
LEFT BANK
MANMADE SHORELINE
REEF
RIGHT BANK
SHORELINE
STREAM
Drains2 is the Project-Derived Stream coverage. Streams is the USGS hydrography coverage.
Apparent limits, closure lines, dam or weir, left bank, manmade shorelines, reefs, right banks and natural shorelines were removed to create drains2. River centerlines were manually digitized to replace the left bank and right bank features. ®
0.25 0 0.25 0.5 0.750.125 Miles
0.3 0 0.3 0.6 0.90.15 Kilometers
1:25,179
Scale
Rio Espiritu Santo
Rio Fajardo
Rio Mameyes
Drainage area vs Channel slope
0 10 20 30 40
Slo
pe
0
10
20
30
40
50
60
70
FFFBBBD FFBDF
BDBD
BD
BD
BBDB
BD
BD
F
B
BDBDBD
B
BD
BB
BDBDBBDBDBBD
F
FRR
RR RR
R
PP PP
P
PPPPP FFFF
Drainage area0.01 0.1 1 10 100
Slo
pe
0.1
1
10
100
FF
F
BB
BDFF
BD
FBD
BD
BDBD
BBDB
BDBD
F
B
BDBDBD
B BD
B B
BDBDBBD BDBBD
F
FRR
RR R
RR
P
P
PP
P
P
P
P
P
P FFFF
(Channel Area * slope) vs % Boulder
Area* slope 0 20 40 60 80 100 120 140
% b
ould
ers
0
10
20
30
40
50
60
70
BB
BBB
B
B
B
B
BF
F
F
F
F
F
F
F
F
F
F
F
BDBD
BDBD
BDBD
BDBD
BDBD
BD
BD
BD