uid=HFR,o=lter,dc=ecoinformatics,dc=org
all
public
read
doi:10.6073/pasta/bcbd4a1e2562a3ce692a20ff60245285
Modeling Impacts of Climate Change on Mangroves Worldwide 2012-2080
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 Long-Term Ecological Research
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