uid=HFR,o=lter,dc=ecoinformatics,dc=org all public read doi:10.6073/pasta/bcbd4a1e2562a3ce692a20ff60245285 Sydne Record https://orcid.org/0000-0001-7293-2155 Noah Charney Aaron Ellison https://orcid.org/0000-0003-4151-6081 Rozainah Zakaria Researcher 2023 English

Given the multitude of ecosystem services provided by mangroves, it is important to understand their potential responses to global climate change. Extensive reviews of the literature and manipulative experiments suggest that mangroves will be impacted by climate change, but few studies have tested these predictions over large scales using statistical models. We provide the first example of applying species and community distribution models (SDMs and CDMs, respectively) to coastal mangroves worldwide. Species projected to shift their ranges polewards by at least 2 degrees of latitude consistently experience a decrease in the amount of suitable coastal area available to them. Central America and the Caribbean are forecast to lose more mangrove species than other parts of the world. We found that the extent and grain size, at which continuous CDM outputs are examined, independent of the grain size at which the models operate, can dramatically influence the number of pseudo-absences needed for optimal parameterization. The SDMs and CDMs presented here provide a first approximation of how mangroves will respond to climate change given simple correlative relationships between occurrence records and environmental data. Additional, precise georeferenced data on mangrove localities and concerted efforts to collect data on ecological processes across large-scale climatic gradients will enable future research to improve upon these correlative models.

climate change communities mangroves sea level species richness LTER controlled vocabulary disturbance LTER core area Harvard Forest HFR LTER USA HFR default

This dataset is released to the public under Creative Commons CC0 1.0 (No Rights Reserved). Please keep the dataset creators informed of any plans to use the dataset. Consultation with the original investigators is strongly encouraged. Publications and data products that make use of the dataset should include proper acknowledgement.

Creative Commons Zero v1.0 Universal https://spdx.org/licenses/CC0-1.0.html CC0-1.0 https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf022 Global. Coordinates based on WGS84 datum. -180 +180 +90 -90 2012 2012 genus Avicennia species alba species bicolor species eucalyptifolia species germinans species integra species marina species schaueriana genus Ceriops species australis species decandra species tagal genus Kandelaria species candel species obovata genus Laguncularia species racemosa genus Lumnitzera species littorea species racemosa genus Rhizophora species apiculata species harrisonii species mangle species mucronata species racemosa species stylosa species x. harrisonii species x. larmarcki genus Sonneratia species alba species apetala species caseolaris species ovata species x. gulngai complete Information Manager Harvard Forest

324 North Main Street Petersham MA 01366 USA

(978) 724-3302 hf-im@lists.fas.harvard.edu Harvard Forest

324 North Main Street Petersham MA 01366 USA

(978) 724-3302 (978) 724-3595 https://harvardforest.fas.harvard.edu

Distributions of mangrove communities with high species richness were modeled in three ways: as the sum of the separate SDM outputs, as binary hotspots (with .3 species) using a generalized linear model, and continuously using a general boosted model. Individual SDMs were projected for 12 species with sufficient data and CDMs were projected for 30 species into 2080 using global climate model outputs and a range of sea-level rise projections.

Harvard Forest

324 North Main Street Petersham MA 01366 USA

(978) 724-3302 (978) 724-3595 https://harvardforest.fas.harvard.edu https://ror.org/059cpzx98 pointOfContact The Harvard Forest Long-Term Ecological Research (LTER) program examines ecological dynamics in the New England region resulting from natural disturbances, environmental change, and human impacts. National Science Foundation LTER grants: DEB-8811764, DEB-9411975, DEB-0080592, DEB-0620443, DEB-1237491, DEB-1832210. hf022-01-current_env_0m.csv current environmental data with no sea level rise (0m) hf022-01-current_env_0m.csv 13319700 e4e932461722e542d186239bf2ca708d 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-01-current_env_0m.csv coast.id unique identification number of coastal grid cell unique identification number of coastal grid cell x longitude in meters in Goode homolosine projection meter 0.01 real y latitude in meters in Goode homolosine projection meter 0.001 real bio1c annual mean temperature in degrees Celsius from WorldClim for current conditions (1950-2000) celsius 0.1 real bio10c mean temperature of warmest quarter in degrees Celsius from WorldClim for current conditions (1950-2000) celsius 0.1 real bio11c mean temperature of coldest quarter in degrees Celsius from WorldClim for current conditions (1950-2000) celsius 0.1 real bio12c annual precipitation in mm from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio13c precipitation of wettest month in mm from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio14c precipitation of driest month in mm from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio15c precipitation seasonality in mm (coefficient of variation) from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio16c precipitation of wettest quarter in mm from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio17c precipitation of driest quarter in mm from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio18c precipitation of warmest quarter in mm from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio19c precipitation of coldest quarter in mm from WorldClim for current conditions (1950-2000) millimeter 0.1 real bio2c mean diurnal range (Mean of monthly(max temp-mintemp)) from WorldClim for current conditions (1950-2000) celsius 0.1 real bio3c isothermality (BIO2/BIO7)(*100) from WorldClim for current conditions (1950-2000) dimensionless 0.1 real bio4c temperature seasonality in degrees Celsius (standard deviation *100) from WorldClim for current conditions (1950-2000) celsius 0.1 real bio5c max temperature in degrees Celsius of warmest month from WorldClim for current conditions (1950-2000) celsius 0.1 real bio6c min temperature in degrees Celsius of coldest month from WorldClim for current conditions (1950-2000) celsius 0.1 real bio7c temperature annual range in degrees Celsius (BIO5-BIO6) from WorldClim for current conditions (1950-2000) celsius 0.1 real bio8c mean temperature in degrees Celsius of wettest quarter from WorldClim for current conditions (1950-2000) celsius 0.1 real bio9c mean temperature in degrees Celsius of driest quarter from WorldClim for current conditions (1950-2000) celsius 0.1 real flacc flow accumulation (i.e. river discharge) in mm weighted by mean annual rainfall calculated from WorldClim for current conditions (1950-2000) millimeter 0.1 real htidesc horizontal tide estimated by dividing vertical tidal amplitude by slope, where vertical tides were obtained by summing the primary tidal amplitude constituents, M2 and K1. Primary tidal amplitude constituents came from the NASA Planetary Geodynamics lab, and slope was obtained from global bathymetry and topography digital elevation models meter 0.00000001 real 105692 hf022-02-future_env_0m.csv future 2080 environmental data scenario with no sea level rise (0m) hf022-02-future_env_0m.csv 13807465 9d890e7e9bef016e78868cef1a096b65 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-02-future_env_0m.csv coast.id unique identification number of coastal grid cell unique identification number of coastal grid cell x longitude in meters in Goode homolosine projection meter 0.01 real y latitude in meters in Goode homolosine projection meter 0.001 real bio1c annual mean temperature in degrees Celsius from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio10c mean temperature of warmest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio11c mean temperature of coldest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio12c annual precipitation in mm from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio13c precipitation of wettest month in mm from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio14c precipitation of driest month in mm from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio15c precipitation seasonality in mm (coefficient of variation) from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio16c precipitation of wettest quarter in mm from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio17c precipitation of driest quarter in mm from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio18c precipitation of warmest quarter in mm from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio19c precipitation of coldest quarter in mm from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real bio2c mean diurnal range (Mean of monthly(max temp-mintemp)) from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio3c isothermality (BIO2/BIO7)(*100) from NCAR CCSM3 A1b 2080 conditions dimensionless 0.1 real bio4c temperature seasonality in degrees Celsius (standard deviation *100) from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio5c max temperature in degrees Celsius of warmest month from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio6c min temperature in degrees Celsius of coldest month from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio7c temperature annual range in degrees Celsius (BIO5-BIO6) from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio8c mean temperature in degrees Celsius of wettest quarter from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real bio9c mean temperature in degrees Celsius of driest quarter from NCAR CCSM3 A1b 2080 conditions celsius 0.1 real flacc flow accumulation (i.e. river discharge) in mm weighted by mean annual rainfall calculated from NCAR CCSM3 A1b 2080 conditions millimeter 0.1 real htidesc horizontal tide estimated by dividing vertical tidal amplitude by slope, where vertical tides were obtained by summing the primary tidal amplitude constituents, M2 and K1. Primary tidal amplitude constituents came from the NASA Planetary Geodynamics lab, and slope was obtained from global bathymetry and topography digital elevation models meter 0.00000001 real 105692 hf022-03-future_env_1m.csv future 2080 environmental data scenario with 1m sea level rise hf022-03-future_env_1m.csv 13864831 45eaba408a0492024f22368392fca002 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-03-future_env_1m.csv coast.id unique identification number of coastal grid cell unique identification number of coastal grid cell x longitude in meters in Goode homolosine projection meter 0.01 real y latitude in meters in Goode homolosine projection meter 0.001 real bio1c annual mean temperature in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio10c mean temperature of warmest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio11c mean temperature of coldest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio12c annual precipitation in mm from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio13c precipitation of wettest month in mm from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio14c precipitation of driest month in mm from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio15c precipitation seasonality in mm (coefficient of variation) from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio16c precipitation of wettest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio17c precipitation of driest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio18c precipitation of warmest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio19c precipitation of coldest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real bio2c mean diurnal range (Mean of monthly(max temp-mintemp)) from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio3c isothermality (BIO2/BIO7)(*100) from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise dimensionless 0.1 real bio4c temperature seasonality in degrees Celsius (standard deviation *100) from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio5c max temperature in degrees Celsius of warmest month from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio6c min temperature in degrees Celsius of coldest month from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio7c temperature annual range in degrees Celsius (BIO5-BIO6) from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio8c mean temperature in degrees Celsius of wettest quarter from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real bio9c mean temperature in degrees Celsius of driest quarter from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise celsius 0.1 real flacc flow accumulation (i.e. river discharge) in mm weighted by mean annual rainfall calculated from NCAR CCSM3 A1b 2080 conditions with 1m of sea level rise millimeter 0.1 real htidesc horizontal tide estimated by dividing vertical tidal amplitude by slope, where vertical tides were obtained by summing the primary tidal amplitude constituents, M2 and K1. Primary tidal amplitude constituents came from the NASA Planetary Geodynamics lab, and slope was obtained from global bathymetry and topography digital elevation models meter 0.00000001 real 106452 hf022-04-future_env_3m.csv future 2080 environmental data scenario with 3m sea level rise hf022-04-future_env_3m.csv 14141730 e3a615b67b279e854b27a2bc4dabac66 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-04-future_env_3m.csv coast.id unique identification number of coastal grid cell unique identification number of coastal grid cell x longitude in meters in Goode homolosine projection meter 0.01 real y latitude in meters in Goode homolosine projection meter 0.001 real bio1c annual mean temperature in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio10c mean temperature of warmest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio11c mean temperature of coldest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio12c annual precipitation in mm from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio13c precipitation of wettest month in mm from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio14c precipitation of driest month in mm from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio15c precipitation seasonality in mm (coefficient of variation) from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio16c precipitation of wettest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio17c precipitation of driest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio18c precipitation of warmest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio19c precipitation of coldest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real bio2c mean diurnal range (Mean of monthly(max temp-mintemp)) from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio3c isothermality (BIO2/BIO7)(*100) from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise dimensionless 0.1 real bio4c temperature seasonality in degrees Celsius (standard deviation *100) from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio5c max temperature in degrees Celsius of warmest month from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio6c min temperature in degrees Celsius of coldest month from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio7c temperature annual range in degrees Celsius (BIO5-BIO6) from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio8c mean temperature in degrees Celsius of wettest quarter from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real bio9c mean temperature in degrees Celsius of driest quarter from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise celsius 0.1 real flacc flow accumulation (i.e. river discharge) in mm weighted by mean annual rainfall calculated from NCAR CCSM3 A1b 2080 conditions with 3m of sea level rise millimeter 0.1 real htidesc horizontal tide estimated by dividing vertical tidal amplitude by slope, where vertical tides were obtained by summing the primary tidal amplitude constituents, M2 and K1. Primary tidal amplitude constituents came from the NASA Planetary Geodynamics lab, and slope was obtained from global bathymetry and topography digital elevation models meter 0.00000001 real 109735 hf022-05-future_env_6m.csv future 2080 environmental data scenario with 6m sea level rise hf022-05-future_env_6m.csv 14689154 96f5cf22eaa9749f31a2657530e65021 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-05-future_env_6m.csv coast.id unique identification number of coastal grid cell unique identification number of coastal grid cell x longitude in meters in Goode homolosine projection meter 0.01 real y latitude in meters in Goode homolosine projection meter 0.001 real bio1c annual mean temperature in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio10c mean temperature of warmest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio11c mean temperature of coldest quarter in degrees Celsius from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio12c annual precipitation in mm from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio13c precipitation of wettest month in mm from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio14c precipitation of driest month in mm from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio15c precipitation seasonality in mm (coefficient of variation) from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio16c precipitation of wettest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio17c precipitation of driest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio18c precipitation of warmest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio19c precipitation of coldest quarter in mm from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real bio2c mean diurnal range (Mean of monthly(max temp-mintemp)) from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio3c isothermality (BIO2/BIO7)(*100) from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise dimensionless 0.1 real bio4c temperature seasonality in degrees Celsius (standard deviation *100) from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio5c max temperature in degrees Celsius of warmest month from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio6c min temperature in degrees Celsius of coldest month from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio7c temperature annual range in degrees Celsius (BIO5-BIO6) from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio8c mean temperature in degrees Celsius of wettest quarter from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real bio9c mean temperature in degrees Celsius of driest quarter from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise celsius 0.1 real flac flow accumulation (i.e. river discharge) in mm weighted by mean annual rainfall calculated from NCAR CCSM3 A1b 2080 conditions with 6m of sea level rise millimeter 0.1 real htidesc horizontal tide estimated by dividing vertical tidal amplitude by slope, where vertical tides were obtained by summing the primary tidal amplitude constituents, M2 and K1. Primary tidal amplitude constituents came from the NASA Planetary Geodynamics lab, and slope was obtained from global bathymetry and topography digital elevation models meter 0.00000001 real 114559 hf022-06-GBIF_binary_site_spp_matrix.csv GBIF count site species matrix hf022-06-GBIF_binary_site_spp_matrix.csv 171197 fcfe5beac2cde996c79bac2261fdf09d 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-06-GBIF_binary_site_spp_matrix.csv coast.index unique identification number of coastal grid cell unique identification number of coastal grid cell x longitude in meters in Goode homolosine projection meter 0.01 real y latitude in meters in Goode homolosine projection meter 0.001 real avicennia.alba presence or absence of Avicennia alba in grid cell 0 present 1 absent avicennia.bicolor presence or absence of Avicennia bicolor in grid cell 0 present 1 absent avicennia.eucalyptifolia presence or absence of Avicennia eucalyptifolia in grid cell 0 present 1 absent avicennia.germinans presence or absence of Avicennia germinans in grid cell 0 present 1 absent avicennia.integra presence or absence of Avicennia integra in grid cell 0 present 1 absent avicennia.lanata presence or absence of Avicennia lanata in grid cell 0 present 1 absent avicennia.marina presence or absence of Avicennia marina in grid cell 0 present 1 absent avicennia.schaueriana presence or absence of Avicennia schaueriana in grid cell 0 present 1 absent ceriops.australis presence or absence of Ceriops australis in grid cell 0 present 1 absent ceriops.decandra presence or absence of Ceriops decandra in grid cell 0 present 1 absent ceriops.tagal presence or absence of Ceriops tagal in grid cell 0 present 1 absent kandelia.candel presence or absence of Kandelia candel in grid cell 0 present 1 absent kandelia.obovata presence or absence of Kandelia obovata in grid cell 0 present 1 absent laguncularia.racemosa presence or absence of Lagunculuria racemosa in grid cell 0 present 1 absent lumnitzera.littorea presence or absence of Lumnitzera littorea in grid cell 0 present 1 absent lumnitzera.racemosa presence or absence of Lumnitzera racemosa in grid cell 0 present 1 absent nypa.fruticans presence or absence of Nypa fruticans in grid cell 0 present 1 absent rhizophora.apiculata presence or absence of Rhizophora apiculata in grid cell 0 present 1 absent rhizophora.harrisonii presence or absence of Rhizophora harrisonii in grid cell 0 present 1 absent rhizophora.mangle presence or absence of Rhizophora mangle in grid cell 0 present 1 absent rhizophora.mucronata presence or absence of Rhizophora mucronata in grid cell 0 present 1 absent rhizophora.racemosa presence or absence of Rhizophora racemosa in grid cell 0 present 1 absent rhizophora.stylosa presence or absence of Rhizophora stylosa in grid cell 0 present 1 absent rhizophora.x.harrisonii presence or absence of Rhizophora x. harrisonii in grid cell 0 present 1 absent rhizophora.x.lamarckii presence or absence of Rhizophora x. lamarckii in grid cell 0 present 1 absent sonneratia.alba presence or absence of Sonneratia alba in grid cell 0 present 1 absent sonneratia.apetala presence or absence of Sonneratia apetala in grid cell 0 present 1 absent sonneratia.caseolaris presence or absence of Sonneratia caseolaris in grid cell 0 present 1 absent sonneratia.ovata presence or absence of Sonneratia ovata in grid cell 0 present 1 absent sonneratia.x.gulngai Occurrence counts of Sonneratia x. gulngai in grid cell 0 present 1 absent 1847 hf022-07-GBIF_count_site_spp_matrix.csv GBIF binary site species matrix hf022-07-GBIF_count_site_spp_matrix.csv 171275 50dc0d7685e411930eabea1297cf17fe 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-07-GBIF_count_site_spp_matrix.csv coast.index unique identification number of coastal grid cell unique identification number of coastal grid cell x longitude in meters in Goode homolosine projection meter 0.01 real y latitude in meters in Goode homolosine projection meter 0.001 real avicennia.alba occurrence counts of Avicennia alba in grid cell number 1 whole avicennia.bicolor occurrence counts of Avicennia bicolor in grid cell number 1 whole avicennia.eucalyptifolia occurrence counts of Avicennia eucalyptifolia in grid cell number 1 whole avicennia.germinans occurrence counts of Avicennia germinans in grid cell number 1 whole avicennia.integra occurrence counts of Avicennia integra in grid cell number 1 whole avicennia.lanata occurrence counts of Avicennia lanata in grid cell number 1 whole avicennia.marina occurrence counts of Avicennia marina in grid cell number 1 whole avicennia.schaueriana occurrence counts of Avicennia schaueriana in grid cell number 1 whole ceriops.australis occurrence counts of Ceriops australis in grid cell number 1 whole ceriops.decandra occurrence counts of Ceriops decandra in grid cell number 1 whole ceriops.tagal occurrence counts of Ceriops tagal in grid cell number 1 whole kandelia.candel occurrence counts of Kandelia candel in grid cell number 1 real kandelia.obovata occurrence counts of Kandelia obovata in grid cell number 1 whole laguncularia.racemosa occurrence counts of Lagunculuria racemosa in grid cell number 1 whole lumnitzera.littorea occurrence counts of Lumnitzera littorea in grid cell number 1 whole lumnitzera.racemosa occurrence counts of Lumnitzera racemosa in grid cell number 1 whole nypa.fruticans occurrence counts of Nypa fruticans in grid cell dimensionless 1 whole rhizophora.apiculata occurrence counts of Rhizophora apiculata in grid cell number 1 whole rhizophora.harrisonii occurrence counts of Rhizophora harrisonii in grid cell number 1 whole rhizophora.mangle occurrence counts of Rhizophora mangle in grid cell number 1 whole rhizophora.mucronata occurrence counts of Rhizophora mucronata in grid cell dimensionless 1 whole rhizophora.racemosa occurrence counts of Rhizophora racemosa in grid cell number 1 whole rhizophora.stylosa occurrence counts of Rhizophora stylosa in grid cell number 1 whole rhizophora.x.harrisonii occurrence counts of Rhizophora x. harrisonii in grid cell number 1 whole rhizophora.x.lamarckii occurrence counts of Rhizophora x. lamarckii in grid cell number 1 whole sonneratia.alba occurrence counts of Sonneratia alba in grid cell number 1 whole sonneratia.apetala occurrence counts of Sonneratia apetala in grid cell number 1 whole sonneratia.caseolaris occurrence counts of Sonneratia caseolaris in grid cell number 1 whole sonneratia.ovata occurrence counts of Sonneratia ovata in grid cell number 1 whole sonneratia.x.gulngai occurrence counts of Sonneratia x. gulngai in grid cell number 1 whole 1847 hf022-08-mangrove_Rcode.txt R code for mangrove distribution models hf022-08-mangrove_Rcode.txt 61393 fa500fe816de049af34eca5c65bc06b3 R script https://harvardforest.fas.harvard.edu/data/p02/hf022/hf022-08-mangrove_Rcode.txt script informatics community modeling