The Plant Journal,
Journal Year:
2003,
Volume and Issue:
33(1), P. 19 - 46
Published: Jan. 1, 2003
Despite
numerous
future
promises,
there
is
a
multitude
of
concerns
about
the
impact
GM
crops
on
environment.
Key
issues
in
environmental
assessment
are
putative
invasiveness,
vertical
or
horizontal
gene
flow,
other
ecological
impacts,
effects
biodiversity
and
presence
material
products.
These
all
highly
interdisciplinary
complex
issues.
A
crucial
component
for
proper
defining
appropriate
baseline
comparison
decision.
For
crops,
best
most
appropriately
defined
reference
point
plants
developed
by
traditional
breeding.
The
latter
an
integral
accepted
part
agriculture.
In
many
instances,
impacts
identified
very
similar
to
new
cultivars
derived
from
When
assessing
relative
existing
cultivars,
increased
knowledge
base
underpinning
development
will
provide
greater
confidence
assurances
plant
science
can
give
risks
releasing
such
crops.
Ecological Monographs,
Journal Year:
2005,
Volume and Issue:
75(1), P. 3 - 35
Published: Feb. 1, 2005
Humans
are
altering
the
composition
of
biological
communities
through
a
variety
activities
that
increase
rates
species
invasions
and
extinctions,
at
all
scales,
from
local
to
global.
These
changes
in
components
Earth's
biodiversity
cause
concern
for
ethical
aesthetic
reasons,
but
they
also
have
strong
potential
alter
ecosystem
properties
goods
services
provide
humanity.
Ecological
experiments,
observations,
theoretical
developments
show
depend
greatly
on
terms
functional
characteristics
organisms
present
distribution
abundance
those
over
space
time.
Species
effects
act
concert
with
climate,
resource
availability,
disturbance
regimes
influencing
properties.
Human
can
modify
above
factors;
here
we
focus
modification
these
biotic
controls.
The
scientific
community
has
come
broad
consensus
many
aspects
relationship
between
functioning,
including
points
relevant
management
ecosystems.
Further
progress
will
require
integration
knowledge
about
abiotic
controls
properties,
how
ecological
structured,
forces
driving
extinctions
invasions.
To
strengthen
links
policy
management,
need
integrate
our
understanding
social
economic
constraints
practices.
Understanding
this
complexity,
while
taking
steps
minimize
current
losses
species,
is
necessary
responsible
ecosystems
diverse
biota
contain.
Based
review
literature,
certain
following
conclusions:
1)
Species'
strongly
influence
Functional
operate
contexts,
dominant
keystone
engineers,
interactions
among
(e.g.,
competition,
facilitation,
mutualism,
disease,
predation).
Relative
alone
not
always
good
predictor
ecosystem-level
importance
as
even
relatively
rare
predator)
pathways
energy
material
flows.
2)
Alteration
via
caused
by
human
altered
well-documented
cases.
Many
difficult,
expensive,
or
impossible
reverse
fix
technological
solutions.
3)
loss
composition,
mechanisms
which
manifest
themselves,
differ
types,
change.
4)
Some
initially
insensitive
because
(a)
may
multiple
carry
out
similar
roles,
(b)
some
contribute
little
(c)
be
primarily
controlled
environmental
conditions.
5)
More
needed
insure
stable
supply
spatial
temporal
variability
increases,
typically
occurs
longer
time
periods
larger
areas
considered.
We
high
confidence
Certain
combinations
complementary
their
patterns
use
average
productivity
nutrient
retention.
At
same
time,
conditions
complementarity
structuring
communities.
Identification
way
complex
just
beginning.
Susceptibility
invasion
exotic
influenced
and,
under
conditions,
generally
decreases
increasing
richness.
However,
several
other
factors,
such
propagule
pressure,
regime,
availability
success
often
override
richness
comparisons
across
different
sites
Having
range
respond
differently
perturbations
stabilize
process
response
disturbances
variation
Using
practices
maintain
diversity
effect
types
help
preserve
options.
Uncertainties
remain
further
research
areas:
resolution
relationships
taxonomic
diversity,
structure
important
identifying
effects.
Multiple
trophic
levels
common
been
understudied
biodiversity/ecosystem
functioning
research.
varying
consumer
much
more
than
responses
seen
experiments
vary
only
primary
producers.
Theoretical
work
stability
outpaced
experimental
work,
especially
field
long-term
able
assess
stability,
well
recovery
disturbances.
Design
analysis
must
account
factors
covary
diversity.
Because
both
responds
influences
feedbacks
involved
results
broader
scales.
Likely
extinction
linked
drivers
global
change,
communities,
development
effective
conservation
strategies.
This
paper
focuses
terrestrial
systems,
coverage
freshwater
where
most
empirical
study
focused.
While
fundamental
principles
described
should
apply
marine
realm
necessary.
Despite
uncertainties
circumstances
incorporating
into
essential,
making
decisions
involving
large
Sacrificing
difficult
reconstruct,
simply
yet
extent
affect
restrict
future
options
further.
It
incumbent
upon
ecologists
communicate
need,
values
derive
perspective,
charged
decision-making.
Ecology Letters,
Journal Year:
2001,
Volume and Issue:
4(4), P. 379 - 391
Published: July 22, 2001
Species
richness
is
a
fundamental
measurement
of
community
and
regional
diversity,
it
underlies
many
ecological
models
conservation
strategies.
In
spite
its
importance,
ecologists
have
not
always
appreciated
the
effects
abundance
sampling
effort
on
measures
comparisons.
We
survey
series
common
pitfalls
in
quantifying
comparing
taxon
richness.
These
can
be
largely
avoided
by
using
accumulation
rarefaction
curves,
which
may
based
either
individuals
or
samples.
curves
contain
basic
information
for
valid
comparisons,
including
category–subcategory
ratios
(species‐to‐genus
species‐to‐individual
ratios).
Rarefaction
methods
–
both
sample‐based
individual‐based
allow
meaningful
standardization
comparison
datasets.
Standardizing
data
sets
area
produce
very
different
results
compared
to
standardizing
number
collected,
clear
measure
diversity
more
appropriate.
Asymptotic
estimators
provide
lower‐bound
estimates
taxon‐rich
groups
such
as
tropical
arthropods,
observed
rarely
reaches
an
asymptote,
despite
intensive
sampling.
Recent
examples
studies
trees,
stream
invertebrates,
herbaceous
plants
emphasize
importance
carefully
species
curves.
Ecology Letters,
Journal Year:
2006,
Volume and Issue:
9(6), P. 741 - 758
Published: April 25, 2006
Abstract
Functional
diversity
is
a
component
of
biodiversity
that
generally
concerns
the
range
things
organisms
do
in
communities
and
ecosystems.
Here,
we
review
how
functional
can
explain
predict
impact
on
ecosystems
thereby
provide
mechanistic
link
between
two.
Critical
points
developing
predictive
measures
are
choice
traits
with
which
distinguished,
trait
information
summarized
into
measure
diversity,
validated
through
quantitative
analyses
experimental
tests.
There
vast
amount
available
for
plant
species
substantial
animals.
Choosing
to
include
particular
will
depend
specific
aims
study.
Quantitative
methods
choosing
assigning
weighting
being
developed,
but
need
much
more
work
before
be
confident
about
choice.
The
number
ways
measuring
growing
rapidly.
We
divide
them
four
main
groups.
first,
groups
or
types,
has
significant
problems
researchers
frequently
using
not
require
grouped.
Of
these,
some
by
summarizing
distances
space,
estimating
size
dendrogram
required
describe
difference,
species’
abundances.
show
new
important
differences
as
well
what
they
indicate
responses
assemblages
loss
individuals.
good
analytical
evidence
greater
validation
required.
suggest
non‐significant
results
have
alternate
explanations
necessarily
contradict
positive
effects
diversity.
Finally,
areas
development
techniques
used
highlight
exciting
questions
addressed
ideas
directions
novel
research.
Oikos,
Journal Year:
2005,
Volume and Issue:
111(1), P. 112 - 118
Published: Sept. 14, 2005
Functional
diversity
is
hypothesised
as
being
beneficial
for
ecosystem
functions,
such
productivity
and
resistance
to
invasion.
However,
a
precise
definition
of
functional
diversity,
hence
framework
its
quantification,
have
proved
elusive.
We
present
based
on
the
analogy
components
species
–
richness,
evenness
divergence.
These
concepts
are
applied
characters
give
three
demonstrate
how
each
these
may
be
calculated.
It
hoped
that
our
will
aid
in
elucidation
mechanisms
behind
diversity/ecosystem‐function
relationships.
Journal of Biogeography,
Journal Year:
2001,
Volume and Issue:
28(4), P. 453 - 470
Published: April 1, 2001
Aim
Current
weaknesses
of
diversity
theory
include:
a
failure
to
distinguish
different
biogeographical
response
variables
under
the
general
heading
diversity;
and
ecological
deal
adequately
with
geographical
scale.
Our
aim
is
articulate
case
for
top‐down
approach
building,
in
which
scale
addressed
explicitly
are
clearly
distinguished.
Location
The
article
draws
upon
both
theoretical
contributions
empirical
analyses
from
all
latitudes,
focusing
on
terrestrial
ecosystems
some
bias
towards
(woody)
plants.
Methods
We
review
current
terminology
relation
applicability.
As
starting
point
developing
theory,
we
take
issue
gradients
species
richness
as
main
theme
evaluate
extent
commonly
cited
theories
likely
operate
at
scales
macro
down
local.
Results
A
degree
confusion
surrounds
use
terms
alpha,
beta
gamma
diversity,
local,
landscape
macro‐scale
preferred
here
more
intuitive
framework.
distinction
between
inventory
differentiation
highlighted
important
as,
analysis,
concepts
focus
extent.
importance
holding
area
constant
analysis
stressed,
notion
that
environmental
factors
exhibit
measurable
heterogeneity
scales.
Evaluation
several
most
common
put
forward
grand
clines
richness,
indicates
they
can
be
collapsed
dynamic
hypotheses
based
climate
or
historical
explanations.
many
ecological/biological
mechanisms
have
been
proposed
evident
mainly
local
whilst
dependent
largely
climatic
controls
their
operation.
Local
communities
often
found
not
saturated,
i.e.
non‐equilibrial.
This
argued,
perhaps
counter‐intuitively,
entirely
compatible
persistence
through
time
patterns
climatically
determined.
also
incorporates
recent
developments
macroecology,
Rapoport’s
rule,
trade‐offs,
isolation,
impedance
geometric
constraints
(the
mid‐domain
effect)
generating
patterns;
highlighting
those
phenomena
contributory
first‐order
pattern,
those,
such
constraints,
may
confound
obscure
these
patterns.
Main
conclusions
must
necessarily
cover
disparate
phenomena,
various
cannot
therefore
expressed
simple
formula,
but
individual
elements
this
be.
In
particular,
it
appears
possible
capture
climate‐based
model
‘capacity
rule’,
form
cline
woody
plants
macro‐scale.
provides
top‐down,
global‐to‐local,
macro‐to‐micro
modelling
variations
variety
taxa.
Patterns
differentiation/endemicity,
other
hand,
require
immediate
attention
events,
features
geography
isolation.
Thus,
argue
there
basic
physical
principles
laws
underlying
certain
(e.g.
gradients),
pluralistic
body
required
explanation,
bridges
equilibrial
nonequilibrial
ideas.
Functional Ecology,
Journal Year:
2010,
Volume and Issue:
24(4), P. 867 - 876
Published: March 15, 2010
Summary
1.
Indices
quantifying
the
functional
aspect
of
biodiversity
are
essential
in
understanding
relationships
between
biodiversity,
ecosystem
functioning
and
environmental
constraints.
Many
indices
diversity
have
been
published
but
we
lack
consensus
about
what
quantify,
how
redundant
they
which
ones
recommended.
2.
This
study
aims
to
build
a
typology
from
artificial
data
sets
encompassing
various
community
structures
(different
assembly
rules,
species
richness
levels)
identify
set
independent
able
discriminate
rules.
3.
Our
results
confirm
that
can
be
divided
into
three
main
categories,
each
these
corresponding
one
diversity:
richness,
evenness
divergence.
Most
highly
correlated
quantify
while
quadratic
entropy
(
Q
)
represents
mix
Conversely,
two
(FEve
FDiv
respectively
divergence)
rather
all
others.
The
power
analysis
revealed
some
efficiently
detect
rules
others
performed
poorly.
4.
To
accurately
assess
establish
its
with
constraints,
recommend
investigating
component
separately
appropriate
index.
Guidelines
provided
help
choosing
given
issue
being
investigated.
5.
demonstrates
potential
reveal
processes
structure
biological
communities.
Combined
complementary
methods
(phylogenetic
taxonomic
diversity),
multifaceted
framework
will
improve
our
interacts