Source: UNIV OF HAWAII submitted to NRP
LAND SUITABILITY ANALYSIS FOR CROP GROWTH IN HAWAII
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1013581
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Oct 1, 2017
Project End Date
Sep 30, 2022
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
UNIV OF HAWAII
3190 MAILE WAY
HONOLULU,HI 96822
Performing Department
Natural Resources & Environmental Management
Non Technical Summary
This project willrank the land area of the major Hawaiian Islands for the suitability of growing agricultural crops, project the suitability of the ranked areas under representative climate change scenarios, and establish an online map service system for the public viewing of the derived land suitability analysis results.
Animal Health Component
100%
Research Effort Categories
Basic
(N/A)
Applied
100%
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1310120107050%
1320120107050%
Knowledge Area
132 - Weather and Climate; 131 - Alternative Uses of Land;

Subject Of Investigation
0120 - Land;

Field Of Science
1070 - Ecology;
Goals / Objectives
This project will identify and rank land areas optimal for growing certain crops in a spatially-explicit manner within the major Hawaiian Islands. This will be accomplished by spatially matching crop ecological ranges with the limiting factors of the natural environment, including rainfall, temperature, and soil properties. Crop ecological ranges, or the crop requirements, will be delineated based upon CTAHR expert knowledge. The level of compatibility between the environmental data and the crop requirements will numerically be rated throughout the islands, including future environmental conditions projected by downscaled regional climate modeling. Resultant crop land suitability maps will be made available to the public via a CTAHR online map service.
Project Methods
The project will consist of four major tasks, each of which is described below. The crop-land suitability modeling framework adopted in this project utilizes a basic mechanistic approach consisting of four steps (Gross, 2014): 1) environmental criteria deemed important to the crop's success are selected, 2) the suitable environmental ranges for the crop are determined for each of the selected environmental criteria, 3) fuzzy sets are constructed for each criteria based on the environmental ranges of the crop, and 4) a crop suitability score is calculated based on how closely the current or future environmental conditions match the constructed fuzzy sets. The current crop-land suitability modeling framework performs the land ranking and spatial delineation based on climate, land setting, and soil conditions. Irrigation is not currently considered as a factor in the framework.

Progress 10/01/19 to 09/30/20

Outputs
Target Audience:Hawaii State Department of Agriculture Changes/Problems:Assessing the extent of cultivable land areas is a new component of the project. We felt understanding the current actual land use would be an important element of the project in order to evaluate the utility of land resources. What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest?Teleconference What do you plan to do during the next reporting period to accomplish the goals? We plan to delineate the areas within the state that were used for production agriculture, but are currently idle, thus suitable for crop growth. We plan to identify a list of crops that can grow well on those identified idle lands using a GIS-bases suitability modeling approach.

Impacts
What was accomplished under these goals? We obtained satellite image time series data acquired in 2019 and 2020 with a new satellite series (the Sentinel-2 series) over the Northshore region of Oahu and assessed the latest agricultural land use patterns in the region. We identified an increase in cultivated land areas from the areas reported by the State's 2015 Agricultural Land Use Baseline. Also, we identified significant acreage that are classified as agriculture are not currently cultivated. All of these areas were found suitable to grow fresh produce such as lettuce.

Publications

  • Type: Journal Articles Status: Published Year Published: 2020 Citation: Mausio, K., Miura, T., and Lincoln, N.K. 2020. Cultivation potential projections of breadfruit (Artocarpus altilis) under climate change scenarios using an empirically validated suitability model calibrated in Hawaii. PLoS ONE, 15(5), e0228552. doi:10.1371/journal.pone.0228552
  • Type: Conference Papers and Presentations Status: Published Year Published: 2020 Citation: Miura, T. and Loke, M. 2020. Vegetable production potential in Oahu, Hawaii with an integrated use of Sentinel-2 time series and GIS modeling. Presented at IGARSS 2020, Virtual Symposium, 26 September-2 October. WE1.R11.1


Progress 10/01/18 to 09/30/19

Outputs
Target Audience:Hawaii State's Department of Agriculture. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?A graduate student hired by the project was able to improve his understanding and skills on programming in R. How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals?(1) We plan to validate the derived suitability maps. These maps are spatial projection of the optimum growth condition extracted from the FAO database. They will need to be validated. (2) We plan to start analyzing high resolution satellite image time series data to understand actual agricultural land use of the "Important Agricultural Land" areas on the Northshore region of the Oahu Island. There is no clear understanding how farmers use their lands for agricultural activities. (3) We will overlay the suitability maps on the satellite image analysis results so as to be able to provide a list of recommended crops that would grow well in the region.

Impacts
What was accomplished under these goals? The land suitability model we previously developed was re-coded in R languages. The R version of the model was ran for 31 crops for the main Hawaiian islands. Outputs are in map form and depict suitability of growing each of 31 crops on any land area on Hawaii.

Publications


    Progress 10/01/17 to 09/30/18

    Outputs
    Target Audience:CTAHR extension faculty; state agricultural and resource management professionals; prospective farmers across the State; Hawaii Department of Agriculture. Changes/Problems:We have decided to push back our future scenario modeling. Several researchers have been working to re-generate future climate conditions over Hawaii based on the new Representative Concentration Pathway (RCP); however the currently available projections are of resolution too low to be useful in our land suitability analysis. What opportunities for training and professional development has the project provided?One graduate student used this opportunity to advance his understanding and knowledge of geospatial data analysis. Another graduate student used this opportunity to advance her understanding of geospatial data structures and how to conduct numerical experiment. How have the results been disseminated to communities of interest?One of the two graduate students presented results of the project at the 2018 Association of American Geographers (AAG) annual conference and gave a couple of public seminars. What do you plan to do during the next reporting period to accomplish the goals?We plan to develop a validation protocol for land suitability modeling results. We plan to run land suitability analysis models for multiple crop species and delineate the agricultural land of importance which is the land area that can support multiple crop species.

    Impacts
    What was accomplished under these goals? We finalized a crop list which includes optimum crop ecological ranges for ~50 crop species considered common and important to the State's agriculture. We finalized the population of a geo-database that contains state-wide geophysical environmental datasets needed to perform land suitability modeling.

    Publications