scott findlay critical habitat and recovery
DESCRIPTION
TRANSCRIPT
Recovery
strategies, critical
habitat
identification and
the federal safety
net
C. Scott Findlay
University of Ottawa
I. Recovery strategies and
critical habitat identification
Recovery strategies must be prepared for “rollover” species within three years for endangered and four years for threatened or extirpated species (SARA s. 42(2))
For all subsequently listed species, within one year for endangered and two years for threatened or extirpated species (SARA s. 42(1)).
Recovery strategies must include identification of the species’ critical habitat, to the extent possible, based on the best available information (SARA s. 41 ((c).
The UO SARA database
Tracks key information concerning species
assessed by COSEWIC.
Information sources: COSEWIC status
reports, RENEW reports, federal recovery
strategies, provincial/territorial SAR
legislation, provincial RSs etc.
A series of relational database tables that can
be queried and are continuously updated
Now includes extensive data; extracted from
reports by > 350 trained volunteer students
over 7 years using rigorous QA/QC protocols.
Species fate
under SARA (as
of March 2009)
85% of species
recommended by
COSEWIC were listed
109/322 (34%) had
recovery strategies
(RS)
22% of RS completed
within statutory time-
lines
17% of species with
RSs had critical habitat
identified.
Rec
omm
ende
d
Listed
Rec
over
y stra
tegy
delay
ed)
RS c
omplet
ed la
te
RS c
omplet
ed o
n tim
e
Partia
l CH ID
Com
plet
e CH ID
Num
ber
of
specie
s0
100
200
300
400
500
March 2009 versus June 2012
Rec
omm
ende
d
Listed
Rec
over
y stra
tegy
delay
ed)
RS c
omplet
ed la
te
RS c
omplet
ed o
n tim
e
Partia
l CH ID
Com
plet
e CH ID
Num
ber
of
specie
s
0
100
200
300
400
500
Rec
omm
ende
d
Listed
Rec
over
y stra
tegy
delay
ed)
RS c
omplet
ed la
te
RS c
omplet
ed o
n tim
e
Partia
l CH ID
Com
plet
e CH ID
0
100
200
300
400
500
Correlates of CH identification
Critical habitat identification variables
Jurisdiction and ownership variables
Existing habitat protection (Protected areas)
variables
Socioeconomic conflict variables
Information gaps variables
Schedule of studies variables
Threat variables
Recovery target and distribution variables
Listing variables
Associations with CH identification for
terrestrial species, excluding information gaps
Probability of critical
habitat identification
increases if the
species is found in a
protected area, or
mining is identified risk
factor, or is listed
provincially or
territorially, and …
… decreases if found
on municipal lands, or
urbanization is an
identified threat. Pro
tect
ed A
rea
Munic
ipal
ly o
wned
Prov.
/Ter
r lis
ting
Urb
anizat
ion
Min
ing
Pro
po
rtio
n w
ith
CH
id
en
tifi
cati
on
0.0
0.2
0.4
0.6
0.8
Factor present
Factor absent
Associations with
CH identification:
information gaps
Marginal probability of
critical habitat
identification increases
if recovery target is an
identified information
gap…
… and decreases if
landownership or
historical distribution
is an identified
information gap. Lan
d ow
nersh
ip(IG
)
Land o
wner
ship
(SS)
Rec
overy
Tar
get
His
toric
al D
istrib
ution
Pro
po
rtio
n w
ith
CH
id
en
tifi
cati
on
0.0
0.1
0.2
0.3
0.4
0.5
0.6Factor present
Factor absent
Summary I
From 2006-2009, only a small proportion
of recovery strategies identified CH, and in
almost all cases, only partially.
Strong positive predictors of CH
identification include the presence in a
protected area and provincial listing.
Strong negative predictors include:
municipal land ownership, conflicts with
urbanization, information gaps related to
land ownership (for terrestrial species).
Conclusions I
Until March 2009, there is evidence consistent wit h
the hypothesis that CH identification in RSs was
determined in part by concerns about the
consequences of doing so with respect to (a) federal-
provincial relations; and (b) potential socioeconomic
consequences.
Yet: “Once a final recovery strategy is prepared, an
action plan involving recovery measures is required to
be developed and implemented; s. 49(1)(e) of SARA
makes it clear that it is only at this stage of the
process that “socio-economic costs” are considered.”
(Justice Campbell, Environmental Defence Canada vs.
Minister of Fisheries and Oceans 2009)
SARA’s safety net provisions
“The Minister must recommend that the order
be made if the Minister is of the opinion that
the laws of the province do not effectively
protect the species, or the residences of its
individuals.” (SARA, s. 34(3))
“…the Minister must make a recommendation
if he or she is of the opinion… that… the laws
of the province or territory do not effectively
protect the critical habitat.” (SARA s. 61(4b))
Indicators of “effectively protect”
Is the species listed under a provincial or
territorial act that provides specific
protection measures (direct harm,
residence, critical habitat)? (SARA s.
34(3))
Does the species have a provincial
recovery strategy? (SARA s. 61(4b))
Provincial/territorial listing of SARA-listed
species
Provincial listing
varies from 100%
(e.g. Ontario) to 0
(e.g. PEI)
Of 298 Schedule 1
species (November
2010), 102 (36%) are
not listed in any
provincial/territorial
jurisdiction in which
they occur. Jurisdiction (province or territory)
ON NL NS AB MB QC SK NB BC PEI YT NT NU
Pro
port
ion o
f S
AR
A s
pecie
s lis
ted
0.0
0.2
0.4
0.6
0.8
1.0
Wildlife act or equivalent
Endangered species act or equivalent
Provincial/territorial listing for
species in multiple jurisdictions
Of the 298 species,
196 (64%) are
listed in at least
one province in
which they occur,
but only 33% are
listed in all of the
jurisdictions in
which they occur.
Range (number of jurisdictional occurrences)
1 (N=231) 2 (N=41) 3 (N=15) >3 (N=11)
Pro
port
ion o
f S
AR
A s
pecie
s lis
ted
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Listed in all jurisdictions
Listed in more than one jurisdiction
Listed in no jurisdictions
Probability of listing: legislation type
Probability of
provincial/territorial
listing greater in
jurisdictions that
have dedicated
endangered
species legislation
rather than more
generic wildlife acts
Pro
po
rtio
n o
f S
AR
A s
pecie
s lis
ted
Provincial legislation type
ESA WA ESA & WA
0.0
0.2
0.4
0.6
0.8
1.0
1.2(c)
Probability
of listing:
association
with decline
Probability of
provincial/territorial
listing greater for
species that were
considered to be
declining in the
previous decade. Pro
port
ion o
f S
AR
A s
pecie
s lis
ted
Population trend in preceding decade
Declining Not declining
0.0
0.2
0.4
0.6
0.8(b)
Probability
of listing:
time since
SARA
listing Probability of
provincial/territorial
listing increases
with the length of
time listed under
SARA
Number of months since listing under SARA
Quartile 1 [1
0-39]
Quartile 2 [3
9-68]
Quartile 3 [6
8-97]
Quartile 4 [9
7-126]Pro
port
ion o
f S
AR
A s
pecie
s lis
ted
0.0
0.2
0.4
0.6
0.8(a)
Provincial recovery strategies
for SARA-listed species
Only 28 (24%) of species with a federal RS also
have a draft or final provincial recovery strategy
in at least one jurisdiction (22 of which occur in
only one jurisdiction)
For provincial RSs, 14 are federal with an
addendum to meet provincial criteria,13 are
jurisdiction-specific, and 1 is a provincial strategy
that was adopted federally with an addendum to
meet SARA criteria.
No species occurring in multiple jurisdictions
has a recovery strategy in them all.
Summary
Of 298 species listed under SARA as of November
2010:
36% are not listed under any provincial/territorial
endangered species or wildlife statute or equivalent;
of those 66 species that occur in 2 or more jurisdictions,
only 33% are listed in all jurisdictions in which they
occur;
only 26% of SARA-listed species have provincial
recovery strategies,
76% of species with federal recovery strategies have no
provincial or territorial counterpart.
A precautionary approach to
effective protection
Question: what is the threshold of
plausibility required to trigger Ministerial
issue of a recommendation for a safety net
order?
Answer: either (a) no provincial/territorial
listing or (b) no provincial/territorial
recovery strategy.
SARA-listed species not
effectively protected as of
November 2010
Conclusions II
Many SARA-listed species are not being
effectively protected on non-federal lands.
As of November 2010, no safety net order
had been issued.
For these species, the threshold of
plausibility required to trigger a
precautionary obligation has been
exceeded; in such cases, the Minister
ought to recommend that a safety order be
issued.
Support for variables based on model
selection with no information gap variables:
terrestrial species
Very strong for effect
of protected areas,
strong support for
effects of mining,
urbanization and
municipal land
ownership, minimal
support for recovery
target and amount of
habitat required to
achieve recover target.
Variable Support
Protected area 0.97 (+)
Provincial listing 0.55 (+)
Municipal lands 0.45 (-)
Urbanization
(threat)
0.38 (-)
Mining (threat) 0.31 (+)
Habitat for
recovery
0.05 (-)
Recovery target 0.01 (+)
Associations with CH
identification: marine
and aquatic species
Marginal probability of CH
ID increases if species is
found in a protected area,
power development is
identified risk factor,
recovery target is an
information gap, or
unsuitable habitat is
identified, and
… decreases if current
distribution is known.
Pro
tected
Are
a
Pow
er d
evelop
men
t
Rec
over
y ta
rget
(IG)
Cur
rent
distri
ubut
ion
Uns
uita
ble
habita
tP
rop
ort
ion
wit
h C
H i
den
tifi
cati
on
0.0
0.2
0.4
0.6
0.8Factor present
Factor absent