DOI: 10.5281/zenodo.8084889
title: Data for effects of multiple drivers of environmental change on native and invasive macroalgae in nearshore groundwater dependent ecosystems

description: <strong><em>Okuhata, B.K., Delevaux, J.M.S., Richards Donà, A., Smith, C.M., Gibson, V.L., Dulai, H., El-Kadi, A.I., Stamoulis, K., Burnett, K.M., Wada, C.A., Bremer, L.L., Effects of multiple drivers of environmental change on native and invasive macroalgae in nearshore groundwater dependent ecosystems</em></strong> Environmental change scenarios, with a spatial extent of the Keauhou basal aquifer (Hawai‘i), were produced using a recharge coverage from Engott (2011), land use coverages from the State of Hawai‘i (2022) and National Oceanic and Atmospheric Administration (2006); climate change calculations based on Elison Timm et al. (2015), and native forest conversion calculations from Bremer et al. (2021). Scenarios were developed based on the following assumptions: Scenario 0 (Baseline) assumes current land use, groundwater recharge, and groundwater withdrawal rates (National Oceanic and Atmospheric Administration, 2006; State of Hawai‘i, 2022; Engott, 2011; Commission on Water Resource Management, unpublished data, 2018). Please see Okuhata et al. (2021) for more details regarding the scenario assumptions for the baseline groundwater model. Scenario 1 (Climate Change) assumes current land use, but with Representative Concentration Pathway (RCP) 8.5 mid-century rainfall projections (Elison Timm et al., 2015), where rainfall and recharge calculations were based on estimates from Giambelluca et al. (2013) and Engott (2011). Scenario 2 (Urban Development) assumes RCP 8.5 mid-century rainfall conditions along with future permitted development, which includes an increase in water demand (Fukunaga & Associates, Inc., 2017). Scenario 3 (Native Forest Conversion + Urban Development) assumes RCP 8.5 mid-century rainfall conditions and future permitted development, along with the assumption that native forests are not protected and converted to non-native forests (Bremer et al., 2021), therefore altering recharge estimates (Wada et al., 2017; Engott, 2011). Please note that scenario numbers listed in the groundwater model and marine water quality model shapefiles may differ from the manuscript scenario numbers. The following table assigns the scenario numbers to their respective scenarios in the manuscript, groundwater model, and marine water quality model. <strong>Scenario Name</strong> <strong>Manuscript #</strong> <strong>Groundwater Model #</strong> <strong>Marine Water Quality Model #</strong> Baseline Scenario 0 Scenario 1 Scenario 0 Climate Change Scenario 1 Scenario 2 Scenario 1 Urban Development Scenario 2 Scenario 7 Scenario 6 Native Forest Conversion + Urban Development Scenario 3 Scenario 5 Scenario 4 The groundwater model results are in shapefile format and were produced using the program SEAWAT (Langevin et al., 2008). The spatial extent is the Keauhou basal aquifer, and the projection is NAD 1983 UTM Zone 4N. The two polygon shapefiles represent the first and second layers of the groundwater model, and include groundwater level (meters relative to mean sea level), salinity (parts per thousand), temperature (degrees Celsius), nitrogen (milligrams per liter), and phosphorus (milligrams per liter) results under the assumptions of each scenario. The point shapefile represents the simulated discharge at SGD plumes under the assumptions of each scenario. The marine water quality model results are in floating point TIFF format and were produced using the program R software. The spatial extent is the coastal area of the Keauhou aquifer system, and the geographic coordinate system is WGS 1984. The files include the groundwater discharge (cubic meters per month), salinity (parts per thousand), temperature (degrees Celsius), nitrogen (kilograms per month), and phosphorus (kilograms per month) results under the assumptions of each scenario. The limu model results are in shapefile format and were produced using the program R software. The spatial extent is the coastal area of the Keauhou aquifer system, and the geographic coordinate system is WGS 1984. The files include the increase and decrease in area (hectares) for <em>Ulva lactuca</em> and <em>Hypnea musciformis </em>under the assumptions of each scenario. The limu experiment results are derived from a csv file, which reports the <em>Ulva lactuca</em> and <em>Hypnea musciformis </em>measured weights (initial and final) for each growth run. These were used to calculate the weight difference. Included also in the dataset are the fixed and random effects used in the R script to run the model. Contact Leah Bremer (lbremer@hawaii.edu) or Brytne Okuhata (bokuhata@hawaii.edu) of the University of Hawaiʻi for more information on these files.
description: Funding for this project came from the USGS Water Resources Research Institute Program grant number G16AP00049 BY5, the Hawai'i EPSCoR Program, funded by the National Science Foundation Research Infrastructure Improvement Award (RII) Track-1: 'Ike Wai: Securing Hawai'i's Water Future Award #OIA-1557349, the Hawai'i Invasive Species Council PO #C21591, and the National Fish and Wildlife Foundation Award #0810.20.068602.
description: {"references": ["Bremer, L.L., DeMaagd, N., Wada, C.A., Burnett, K.M. (2021), Priority watershed management areas for groundwater recharge and drinking water protection: A case study from Hawai'i Island, J. Environ. Manage., 286, doi: 10.1016/j.jenvman.2020.111622", "Elison Timm, O., Giambelluca, T.W., Diaz, H.F. (2015), Statistical downscaling of rainfall changes in Hawai'i based on the CMIP5 global model projections, J Geophys Res Atmos, 120:92-112, doi: 10.1002/2014JD022059", "Engott, J.A. (2011), A water-budget model and assessment of groundwater recharge for the island of Hawaii. US Geol Surv Sci Invest Rep 2011-5078, doi: 10.3133/sir20115078", "Fukunaga & Associates, Inc. (2017), Hawai'i County water use and development plan update: Keauhou aquifer system. https://www. hawaiidws.org/wp-content/uploads/2018/06/Combined-Ph-1-2- Keauhou-20170510_w-Appendix-final.pdf. Accessed 8 October 2020", "Giambelluca, T.W., Chen, Q., Frazier, A.G., Price, J.P., Chen, Y.-L., Chu, P.-S., Eischeid, J.K., Delparte, D.M. (2013), Online rainfall atlas of Hawaii, Bull Amer Meteor Soc, 94:313-316, doi: 10.1175/BAMS-D-11-00228.1", "Giambelluca, T.W., Shuai, X., Barnes, M.L., Alliss, R.J. (2014), Evapotranspiration of Hawai'i final report.", "Langevin, C.D., Thorne, D.T. Jr., Dausman, A.M., Sukop, M.C., Guo, W. (2008), SEAWAT Version 4: a computer program for simulation of multispecies solute and heat transport. US Geological Survey Techniques and Methods book 6, chapter A22, USGS, Reston, VA, 39 pp", "National Oceanic and Atmospheric Administration (2006), C-CAP Land Cover, Kauai, Hawaii 2005. Database: Coastal Change Analysis Program (C-CAP) High-Resolution Land Cover. Charleston, SC: NOAA Office for Coastal Management [Internet]. https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires/hi/hi_hawaii_2005_ccap_hr_land_cover.img. Accessed December 2019.", "Okuhata, B.K., El-Kadi, A.I., Dulai, H., Lee, J., Wada, C.A., Bremer, L.L., Burnett, K.M., Delevaux, K.M., Shuler, C.S. (2021), A density-dependent multi-species model to assess groundwater flow and nutrient transport in the coastal Keauhou aquifer, Hawai'i, USA, Hydrogeology Journal, 1-20, doi: 10.1007/s10040-021-02407-y", "State of Hawai'i (2022), Hawai'i Statewide GIS Program. http://planning.hawaii.gov/gis/download-gis-data-expanded/. Accessed July 2022.", "Wada, C.A., Bremer, L.L., Burnett, K., Trauernicht, C., Giambelluca, T., Mandle, L., Parsons, E., Weil, C., Kurashima, N., Ticktin, T. (2017), Estimating Cost-Effectiveness of Hawaiian Dry Forest Restoration Using Spatial Changes in Water Yield and Landscape Flammability Under Climate Change, Pacific Science, 71, 401-424, doi: 10.2984/71.4.2"]}