Journal of Biogeography,
Journal Year:
2019,
Volume and Issue:
47(1), P. 16 - 43
Published: June 9, 2019
Abstract
Aim
To
understand
how
functional
traits
and
evolutionary
history
shape
the
geographic
distribution
of
plant
life
on
Earth,
we
need
to
integrate
high‐quality
global‐scale
data
with
phylogenetic
information.
Large‐scale
for
plants
are,
however,
often
restricted
either
certain
taxonomic
groups
or
regions.
Range
maps
only
exist
a
small
subset
all
species
digitally
available
point‐occurrence
information
is
biased
both
geographically
taxonomically.
Floras
checklists
represent
an
alternative,
yet
rarely
used
potential
source
They
contain
highly
curated
about
composition
clearly
defined
area,
together
virtually
cover
entire
global
land
surface.
Here,
report
our
recent
efforts
mobilize
this
macroecological
biogeographical
analyses
in
GIFT
database,
Global
Inventory
Traits.
Location
Global.
Taxon
Land
(Embryophyta).
Methods
integrates
distributions
from
regional
traits,
information,
region‐level
geographic,
environmental
socio‐economic
data.
It
contains
floristic
status
(native,
endemic,
alien
naturalized)
takes
advantage
wealth
trait
Floras,
complemented
by
databases.
Results
1.0
holds
lists
2,893
regions
across
whole
globe
including
~315,000
taxonomically
standardized
names
(i.e.
c.
80%
known
species)
~3
million
species‐by‐region
occurrences.
Based
hierarchical
taxonomical
derivation
scheme,
83
more
than
2.3
trait‐by‐species
combinations
achieves
unprecedented
coverage
categorical
such
as
woodiness
(~233,000
spp.)
growth
form
(~213,000
spp.).
Main
conclusions
present
structure,
content
automated
workflows
corresponding
web‐interface
(
http://gift.uni-goettingen.de
)
proof
concept
feasibility
mobilizing
aggregated
biodiversity
research.
Ecography,
Journal Year:
2020,
Volume and Issue:
43(9), P. 1261 - 1277
Published: June 1, 2020
Species
distribution
models
(SDMs)
constitute
the
most
common
class
of
across
ecology,
evolution
and
conservation.
The
advent
ready‐to‐use
software
packages
increasing
availability
digital
geoinformation
have
considerably
assisted
application
SDMs
in
past
decade,
greatly
enabling
their
broader
use
for
informing
conservation
management,
quantifying
impacts
from
global
change.
However,
must
be
fit
purpose,
with
all
important
aspects
development
applications
properly
considered.
Despite
widespread
SDMs,
standardisation
documentation
modelling
protocols
remain
limited,
which
makes
it
hard
to
assess
whether
steps
are
appropriate
end
use.
To
address
these
issues,
we
propose
a
standard
protocol
reporting
an
emphasis
on
describing
how
study's
objective
is
achieved
through
series
modeling
decisions.
We
call
this
ODMAP
(Overview,
Data,
Model,
Assessment
Prediction)
protocol,
as
its
components
reflect
main
involved
building
other
empirically‐based
biodiversity
models.
serves
two
purposes.
First,
provides
checklist
authors,
detailing
key
model
analyses,
thus
represents
quick
guide
generic
workflow
modern
SDMs.
Second,
introduces
structured
format
documenting
communicating
models,
ensuring
transparency
reproducibility,
facilitating
peer
review
expert
evaluation
quality,
well
meta‐analyses.
detail
elements
ODMAP,
explain
can
used
different
objectives
applications,
complements
efforts
store
associated
metadata
define
standards.
illustrate
utility
by
revisiting
nine
previously
published
case
studies,
provide
interactive
web‐based
facilitate
plan
advance
encouraging
further
refinement
adoption
scientific
community.
Science,
Journal Year:
2019,
Volume and Issue:
366(6463), P. 339 - 345
Published: Oct. 17, 2019
Spatial
structure
of
species
change
Biodiversity
is
undergoing
rapid
driven
by
climate
and
other
human
influences.
Blowes
et
al.
analyze
the
global
patterns
in
temporal
biodiversity
using
a
large
quantity
time-series
data
from
different
regions
(see
Perspective
Eriksson
Hillebrand).
Their
findings
reveal
clear
spatial
richness
composition
change,
where
marine
taxa
exhibit
highest
rates
change.
The
tropics,
particular,
emerge
as
hotspots
losses.
Given
that
activities
are
affecting
magnitudes
directions
differ
across
planet,
these
will
provide
much
needed
biogeographic
understanding
can
help
inform
conservation
prioritization.
Science
,
this
issue
p.
339
;
see
also
308
Proceedings of the National Academy of Sciences,
Journal Year:
2018,
Volume and Issue:
115(23), P. 6034 - 6039
Published: May 14, 2018
Significance
Amazonia
is
not
only
the
world’s
most
diverse
rainforest
but
also
region
in
tropical
America
that
has
contributed
to
its
total
biodiversity.
We
show
this
by
estimating
and
comparing
evolutionary
history
of
a
large
number
animal
plant
species.
find
there
been
extensive
interchange
lineages
among
different
regions
biomes,
over
course
tens
millions
years.
stands
out
as
primary
source
diversity,
which
can
be
mainly
explained
amount
time
Amazonian
have
occupied
region.
The
exceedingly
rich
heterogeneous
diversity
American
tropics
could
achieved
high
rates
dispersal
events
across
continent.
Plants People Planet,
Journal Year:
2020,
Volume and Issue:
2(5), P. 389 - 408
Published: Sept. 1, 2020
Societal
Impact
Statement
There
is
increasing
awareness
that
plants
and
fungi,
as
natural
solutions,
can
play
an
important
role
in
tackling
ongoing
global
environmental
challenges.
We
illustrate
how
understanding
current
projected
threats
to
fungi
necessary
manage
mitigate
risks,
while
building
of
gaps
bias
assessment
coverage
essential
adequately
prioritize
conservation
efforts.
highlight
the
state
art
science
point
methods
future
studies
needed
species
extinction.
Summary
Plant
fungal
biodiversity
underpin
life
on
earth
merit
careful
stewardship
increasingly
uncertain
environment.
However,
biases
documented
extinction
risks
plant
impede
effective
management.
Formal
risk
assessments
help
avoid
extinctions,
through
engagement,
financial,
or
legal
mechanisms,
but
most
lack
assessments.
Available
cover
c.
30%
(ThreatSearch).
Red
List
overrepresents
woody
perennials
useful
plants,
underrepresents
single‐country
endemics.
Fungal
overrepresent
well‐known
are
too
few
infer
status
trends.
Proportions
assessed
vascular
considered
threatened
vary
between
datasets:
37%
(ThreatSearch),
44%
(International
Union
for
Conservation
Nature
Threatened
Species).
Our
predictions,
correcting
several
quantifiable
biases,
suggest
39%
all
with
other
remain
unquantified,
may
affect
our
estimate.
Preliminary
trend
data
show
moving
toward
Quantitative
estimates
based
understate
likely
loss:
they
do
not
fully
capture
impacts
climate
change,
slow‐acting
threats,
clustering
risk,
which
could
amplify
loss
evolutionary
potential.
The
importance
estimation
support
existing
emerging
initiatives
grow
intensify.
This
necessitates
urgent
strategic
expansion
efforts
comprehensive
risk.
Ecography,
Journal Year:
2021,
Volume and Issue:
44(9), P. 1259 - 1269
Published: June 21, 2021
Spatial
patterns
of
biodiversity
are
inextricably
linked
to
their
collection
methods,
yet
no
synthesis
bias
or
consequences
exists.
As
such,
views
organismal
distribution
and
the
ecosystems
they
make
up
may
be
incorrect,
undermining
countless
ecological
evolutionary
studies.
Using
742
million
records
374
900
species,
we
explore
global
impacts
biases
related
taxonomy,
accessibility,
ecotype
data
type
across
terrestrial
marine
systems.
Pervasive
sampling
observation
exist
animals,
with
only
6.74%
globe
sampled,
disproportionately
poor
tropical
sampling.
High
elevations
deep
seas
particularly
unknown.
Over
50%
in
most
groups
account
for
under
2%
species
citizen‐science
exacerbates
biases.
Additional
will
needed
overcome
many
these
biases,
but
must
increasingly
value
publication
bridge
this
gap
better
represent
species'
distributions
from
more
distant
inaccessible
areas,
provide
necessary
basis
conservation
management.
New Phytologist,
Journal Year:
2017,
Volume and Issue:
217(2), P. 939 - 955
Published: Oct. 30, 2017
Summary
Nonrandom
collecting
practices
may
bias
conclusions
drawn
from
analyses
of
herbarium
records.
Recent
efforts
to
fully
digitize
and
mobilize
regional
floras
online
offer
a
timely
opportunity
assess
commonalities
differences
in
sampling
biases.
We
determined
spatial,
temporal,
trait,
phylogenetic,
collector
biases
c
.
5
million
records,
representing
three
the
most
complete
digitized
world:
Australia
(
AU
),
South
Africa
SA
New
England,
USA
NE
).
identified
numerous
shared
unique
among
these
regions.
Shared
included
specimens
collected
close
roads
herbaria;
more
frequently
during
biological
spring
summer;
threatened
species
less
frequently;
relatives
similar
numbers.
Regional
overrepresentation
graminoids
annuals
;
peak
collection
1910s
,
1980s
1990s
Finally,
all
regions,
disproportionately
large
percentage
were
by
very
few
individuals.
hypothesize
that
mega‐collectors,
with
their
associated
preferences
idiosyncrasies,
shaped
patterns
via
‘founder
effects’.
Studies
using
collections
should
account
for
biases,
future
avoid
compounding
extent
possible.
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: Aug. 3, 2020
Soils
harbor
a
substantial
fraction
of
the
world's
biodiversity,
contributing
to
many
crucial
ecosystem
functions.
It
is
thus
essential
identify
general
macroecological
patterns
related
distribution
and
functioning
soil
organisms
support
their
conservation
consideration
by
governance.
These
analyses
need
represent
diversity
environmental
conditions
that
can
be
found
worldwide.
Here
we
characterize
existing
gaps
in
taxa
data
across
studies
17,186
sampling
sites
globe.
include
important
spatial,
environmental,
taxonomic,
functional
gaps,
an
almost
complete
absence
temporally
explicit
data.
We
also
limitations
explore
biodiversity-ecosystem
relationships,
with
only
0.3%
all
having
both
information
about
biodiversity
function,
although
different
taxonomic
groups
functions
at
each
site.
Based
on
this
information,
provide
clear
priorities
expand
research.
Soil
organism
contributes
but
function
have
not
been
equivalently
studied
authors
locations,
environment
types,
for
which
there
currently
lack
literature.