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Using GIS to Evaluate Agricultural Land Suitability in Hawaii and the Impacts of Regional Climate Change
1. Jacob Gross*1
Tomoaki Muira1
Jonathan Deenik2
John Yanagida1
Russell Yost2
1Dept. of Natural Resource and
Environmental Management (NREM)
2Dept. of Tropical Plant and Soil Sciences
College of Tropical Agriculture and Human Resources
(CTAHR)
2. CTAHR Database & Geoportal
Centralize data relevant to
natural resource
management in Hawaii
Organize information to
support land use evaluation
and decision making
Provide user access to
information
2
Users
CTAHR
Database
Local Server
Geoportal
3. How will climate change impact agricultural land suitability in
Hawaii?
Temperature and Rainfall
Crop specific:
Coffee
Macadamia, Papaya,
Sweet potato, Cacao, Tea
3
Geoportal
Application
(late 21st century)
Research Objective:
Compare present land suitability vs. future land suitability
4. 2013 HI Rainfall Atlas
1978-2007 (250m)
Specific
Crop
Mean Total Rainfall
(Monthly or Annual)
Min & Max Temp
(Monthly)
Temperature Dataset
1971-2000 (500m)
Hawaii Regional
Climate Model
(HRCM)
SSURGO
Variable Size Polygons
Slope
USGS DEM
(10m)
Soil Drainage
Soil Depth
Soil pH
Minimum Score
2080-
2099
8. Current Coffee Fields
Pahoa
Keaau
South Hilo
North Hilo
Hamakua
Waimea
North Kohala
Kona
Ocean View
Kau
-15 -10 -5 0 5 10
Weighted Mean Difference in Suitability Score
(per hectare)
9. Future rainfall and temperature estimates support
continued coffee production in the majority of
established locations on the Big Island.
Coffee crops in Hilo, Puna, and Hamakua districts
could experience production limitations caused by
increases in temperature and rainfall, especially if
related problems already exist .
9
10. Traditional rain-fed systems on Hawai`I
Sweet potato (`uala)
Kagawa and Vitousek (2012) Evaluated rain-fed dryland
agriculture
Leeward Kohala Field System (LKFS)
Production locations likely shifted seasonally
Lower elevation = winter crops
Upper elevation = spring and summer crops
13. GIS crop suitability model can provide decision support materials
for Farmers & Planners:
System is adaptable
Adjustments to crop requirements
New environmental datasets
Can be applied to crops not currently grown in Hawaii
13
14. Acknowledgements
Funding Source:
Agribusiness Development Corporation
- Hawaii State Dept. of Agriculture
Climate Change Projections:
International Pacific Research Center
Dr. Kevin Hamilton
Dr. Chunxi Zhang
Coffee Extension Specialist:
Dr. Skip Bittenbender -CTAHR
CTAHR GeoPortal IT:
Nathan Dorman
Elsie Kawahara
http://gis.ctahr.hawaii.edu/
15. Sources Cited
Giambelluca, Thomas W, Diaz, Henry F, & Luke, Mark SA. (2008).
Secular temperature changes in Hawai‘i. Geophysical Research
Letters, 35(12).
Lauer, Axel, Zhang, Chunxi, Elison-Timm, Oliver, Wang, Yuqing, &
Hamilton, Kevin. (2013). Downscaling of Climate Change in the
Hawaii Region Using CMIP5 Results: On the Choice of the Forcing
Fields*. Journal of Climate, 26(24).
Melrose, J, & Delparte, D. (2012). Hawai'i County Food Self-
Sufficiency Baseline 2012 (G. a. E. S. Department, Trans.): University
of Hawai'i at Hilo.
Ramirez-Villegas, Julian, Jarvis, Andy, & Laderach, Peter. (2013).
Empirical approaches for assessing impacts of climate change on
agriculture: The EcoCrop model and a case study with grain
sorghum. Agricultural and forest meteorology, 170, 67-78.
Timm, Oliver, & Diaz, Henry F. (2009). Synoptic-statistical approach
to regional downscaling of IPCC twenty-first-century climate
projections: seasonal rainfall over the Hawaiian Islands. Journal of
Climate, 22(16).
Timm, Oliver, Takahashi, Mami, Giambelluca, Thomas W, & Diaz,
Henry F. (2013). On the relation between large‐scale circulation
pattern and heavy rain events over the Hawaiian Islands: Recent
trends and future changes. Journal of Geophysical Research:
Atmospheres, 118(10), 4129-4141.
16. 16
1. Rainfall
2. Temperature
3. Soil Drainage
4. Soil Depth
5. Soil pH
6. Slope
High Spatial
Variability
• Topography
• Substrate Age
• Climate
Natural Environmental
Conditions
17. Temperature
Increasing Temperatures (Lauer et al. 2013)
RCP4.5 (1.2 ˚- 2.9˚ C)
RCP8.5 (2.3 ˚- 4.9˚ C)
Stronger warming at higher elevations (Giambelluca et al. 2008)
Rainfall
Increase in overall rainfall (~5%) (Timm and Diaz 2009)
Increased drought in drier areas (Timm et al. 2013)
↑summer precipitation ↓winter precipitation (Timm and Diaz 2009)
Increased risk of widespread heavy rain events is low (Timm et al. 2013)
*High uncertainty in rainfall estimates (Lauer et al. 2013)
17
18. Agricultural Suitability Classification in Hawaii
1963-1972 LSB Hawaii Land Study Bureau
(University of Hawaii)
1957-1972 LCC Land Capability Classification – (USDA)
1977 ALISH Agricultural Lands of Importance to the State of
Hawaii – (USDA, Hawaii State Board of Agriculture)
1978-1986 LESA Hawaii Land Evaluation and Site Assessment
(HI LESA Commission)
18
1986-2007 HNRIS Hawaii Natural Resources Information System –
(CTAHR)
Future estimations of temperature and rainfall will be calculated using estimates from the Hawaii regional climate model (HRCM). The HRCM is a nested version of the Weather Research and Forecasting (WRF) model V3.3 that produces high resolution cover of the Hawaiian region through forced lateral boundary conditions (Zhang et al., 2012). Currently the HRCM provides 3 km horizontal resolution across all the main Hawaiian Islands.
I am working on learning python programing to tie this all together in a GIS environment.
Python provides added functionality to ArcGIS
And allows the user to string together a number of processes and automatically run the entire process repeatedly with minor changes to the parameters if needed.
When the Python code is ran ArcGIS will read the environmental dataset then apply the appropriate calculation to determine the suitability with respect to the particular crop and criterion being evaluated
Soil, climate, and weather patterns change across short distances in Hawaii
Rate productivity for certain crops (pineapple & sugarcane)
+ Master productivity rating
Identifies agricultural site limitations and severity
Identify “prime” agricultural lands based on national system + “unique” and “other”
Identify “Important Agricultural Land” (IAL)
Complete GIS
Large Dedicated Database
Difficult to update & modify
LSB - crop yield data obtained from University and federal sources, as well as long-term records from some of the private plantations.
Resisted reform to Land Use Law – First by conservative land owners to keep low-cost capital assets, then by activists and liberals intending on preventing excessive development.