Access to this full-text is provided by Canadian Science Publishing.
Content available from FACETS
This content is subject to copyright. Terms and conditions apply.
Informing Canada’s commitment to
biodiversity conservation: A science-based
framework to help guide protected areas
designation through Target 1 and beyond
Laura E. Coristine
a
*
†‡
, Aerin L. Jacob
b†‡
, Richard Schuster
cd†‡
, Sarah P. Otto
e†‡
, Nancy E. Baron
f
,
Nathan J. Bennett
g†
, Sarah Joy Bittick
e†
, Cody Dey
h†
, Brett Favaro
i†
, Adam Ford
a†
, Linda Nowlan
j
,
Diane Orihel
k†
, Wendy J. Palen
l†
, Jean L. Polfus
m†
, David S. Shiffman
l†
, Oscar Venter
d
,
and Stephen Woodley
n
a
Department of Biology, The University of British Columbia - Okanagan Campus, 1177 Research Road,
Kelowna, BC V1V 1V7, Canada;
b
Yellowstone to Yukon Conservation Initiative, 200-1350 Railway Ave.,
Canmore, AB T1W 1P6, Canada;
c
Department of Biology, Carleton University, 1125 Colonel By Drive,
Ottawa, ON K1S 5B6, Canada;
d
Natural Resource and Environmental Studies Institute, University of
Northern British Columbia, 3333 University Way, Prince George, BC V2N 4Z9, Canada;
e
Biodiversity
Research Centre & Department of Zoology, University of British Columbia, 6270 University Blvd.,
Vancouver, BC V6T 1Z4, Canada;
f
COMPASS, National Center of Ecological Analysis and Synthesis,
735 State St. Santa Barbara, CA 93103, USA;
g
Institute for Resources, Environment and Sustainability,
University of British Columbia, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada;
h
Great Lakes Institute
for Environmental Research, University of Windsor, 401 Sunset Drive, Windsor, ON N9B 3P4, Canada;
i
School of Fisheries, Fisheries and Marine Institute of Memorial University of Newfoundland, 155 Ridge
Road, St. John’s, NL A1C 5R3, Canada;
j
West Coast Environmental Law, 200-2006 10th Ave, Vancouver,
BC V6J 2B3, Canada;
k
School of Environmental Studies and Department of Biology, Queen’s University,
116 Barrie Street, Kingston, ON K7L 3N6, Canada;
l
Earth to Ocean Research Group, Simon Fraser
University, 8888 University Dr., Burnaby, BC V5A 1S6, Canada;
m
Biology Department, Trent University,
2140 East Bank Drive, Peterborough, ON K9J 7B8, Canada;
n
IUCN World Commission on Protected
Areas, 64 Chemin Juniper, Chelsea, QC J9B 1T3, Canada
*laura@coristine.com
†
Liber Ero Fellowship Program.
‡
Lead authors.
Abstract
Biodiversity is intrinsically linked to the health of our planet—and its people. Yet, increasingly,
human activities are causing the extinction of species, degrading ecosystems, and reducing nature’s
resilience to climate change and other threats. As a signatory to the Convention on Biological
Diversity, Canada has a legal responsibility to protect 17% of land and freshwater by 2020.
Currently, Canada has protected ∼10% of its terrestrial lands, requiring a marked increase in the pace
and focus of protection over the next three years.
Given the distribution, extent, and geography of Canada’s current protected areas, systematic
conservation planning would provide decision-makers with a ranking of the potential for new pro-
tected area sites to stem biodiversity loss and preserve functioning ecosystems. Here, we identify five
key principles for identifying lands that are likely to make the greatest contribution to reversing
biodiversity declines and ensuring biodiversity persistence into the future. We identify current gaps
and integrate principles of protecting (i) species at risk, (ii) representative ecosystems, (iii)intact
OPEN ACCESS
Citation: Coristine LE, Jacob AL, Schuster R,
Otto SP, Baron NE, Bennett NJ, Bittick SJ,
Dey C, Favaro B, Ford A, Nowlan L,
Orihel D, Palen WJ, Polfus JL, Shiffman DS,
Venter O, and Woodley S. 2018. Informing
Canada’s commitment to biodiversity
conservation: A science-based framework to
help guide protected areas designation
through Target 1 and beyond. FACETS 3:
531–562. doi:10.1139/facets-2017-0102
Handling Editor: Jeffrey Hutchings
Received: August 15, 2017
Accepted: January 31, 2018
Published: May 14, 2018
Copyright: © 2018 Coristine et al. This
work is licensed under a Creative Commons
Attribution 4.0 International License (CC BY
4.0), which permits unrestricted use,
distribution, and reproduction in any
medium, provided the original author(s) and
source are credited.
Published by: Canadian Science Publishing
SCIENCE APPLICATIONS FORUM
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 531
facetsjournal.com
wilderness, (iv) connectivity, and (v) climate refugia. This spatially explicit assessment is intended as
an ecological foundation that, when integrated with social, economic and governance considerations,
would support evidence-based protected area decision-making in Canada.
Key words: protected areas, conservation planning, gap analysis, Aichi Target 11, threat reduction,
governance
Introduction
The world’s biological diversity is facing a substantial threat of loss due to human activity (Barnosky
et al. 2011;Ceballos et al. 2015;De Vos et al. 2015;Urban 2015;Ceballos et al. 2017). Globally, it is
estimated that humans have raised the rate of species’extinction 1000 times over background rates
(Ceballos et al. 2015;De Vos et al. 2015), with these rates expected to rise with future climate change
(Thomas et al. 2004;Urban 2015). Protected areas—national parks, reserves, special management
zones—are one effective tool to protect biodiversity (Chape et al. 2005;LeSaoutetal.2013).
Protected areas reduce the scale or intensity of negative human activities and are most effective when
identified through ecological assessment (Locke 2015;Belote et al. 2017;Saura et al. 2017). The
decision-making criteria and processes used to locate new protected areas dramatically affect biodi-
versity outcomes (Svancara et al. 2005;Venter et al. 2017), future land-use patterns (Ellis and
Ramankutty 2008;Ellis et al. 2010;Venter et al. 2016), and human well-being (e.g., where tied to eco-
system services such as pollination and flood control; see Naidoo et al. 2006;Kaplan-Hallam and
Bennett 2017), thereby altering conservation efficacy.
One hundred and sixty-eight countries have signed and ratified the Convention on Biological
Diversity (CBD), which enshrines national commitments to conservation of biodiversity. Of these
signatories, Canada is the second-largest country and is in a strong position to create positive
biodiversity outcomes. Following adoption of the CBD Strategic Plan for Biodiversity and the Aichi
Biodiversity Targets 2011–2020, Canada set 19 specific national targets related to biodiversity conser-
vation in the 2020 Biodiversity Goals and Targets for Canada (ECCC 2016a). Canada Target 1 is a
restatement of quantitative aspects of Aichi Target 11, namely protection of 17% (1.70 million km
2
)
of terrestrial and freshwater areas by 2020. As of June 2017, 10.6% (1.05 million km
2
) of Canada’s
lands had received such protection (GC 2017). From an ecological perspective, the proportion of pro-
tected area required to ensure the persistence of biodiversity is substantially greater, with estimates
varying from 25%–75% (Svancara et al. 2005;Noss et al. 2012;Locke 2015;Dinerstein et al. 2017).
Protected areas, in and of themselves, are not sufficient to reverse biodiversity declines but must be
complemented by appropriate governance and careful management of lands (Geldmann et al. 2015)
in and out of protected areas. We acknowledge the importance of additional measures to reverse bio-
diversity decline but focus here on ecological criteria to select protected areas.
Specific, critical elements of Aichi Target 11 state that protected area conservation should include
areas of particular importance for biodiversity and ecosystem services that are ecologically represen-
tative and well connected and integrated into the broader landscape and seascape. These qualitative
elements (for a discussion see Rees et al. 2017) are vital to evidence-based efforts to reverse biodiver-
sity decline and, although not included in written text for Canada Target 1, have been represented as
part of Canada Target 1 (McKenna 2017). As such, we hereafter refer interchangeably to Aichi
Target 11 and Canada Target 1 to encompass Canada’s commitment to reduce biodiversity decline
through establishment of protected areas.
Achieving Aichi Target 11 will require a marked increase in both the pace and focus of protection
both globally (Butchart et al. 2010;Watson et al. 2016b) and in Canada (Standing Committee on
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 532
facetsjournal.com
Environment and Sustainable Development 2017). Protected area planning that explicitly incorpo-
rates biophysical science into decision-making produces better protection outcomes than processes
that do not (Watson et al. 2011;Bottrill and Pressey 2012) and can increase the quality of protected
areas (Svancara et al. 2005;Ruckelshaus et al. 2015). Recently, the Canadian government formed a
National Advisory Panel (NAP 2017) with the goal to “develop a pathway, grounded in science and
traditional knowledge, to achieve Canada Target 1”(conservation2020canada.ca/the-pathway/), but
there is no transparent process by which this grounding in science occurs. Nor is there public infor-
mation about an overarching framework used to incorporate the different scientific principles that
could guide an evidence-based decision process.
Here, we use biophysical science to help identify priority areas for protection under Canada’sTarget
1 and, ultimately, to reduce biodiversity loss. Our focus is solely on terrestrial protected areas. We
do not consider freshwater protected areas, which require different management approaches and
involve a different suite of biophysical processes (see Chu et al. 2003;Chessman 2013;Chu et al.
2014;Grantham et al. 2017). Marine protected areas are dealt with in a separate, parallel policy
process and are similarly excluded. Many candidate sites for expanding Canada’s protected area
network have already been identified through a variety of processes and plans (e.g., Parks
Canada’s system plan, Key Biodiversity Areas, Indigenous and community-conserved areas, land-
trust acquisition plans, regional land-use plans, provincial and territorial protected area strategies).
Such sites have been put forth based on differing criteria, however, and could benefit from being
placed in a common framework to reach national conservation goals. An operational policy for
the Minister of the Environment and Climate Change is needed to move Canada forward along
the Pathway to Target 1. Ideally, to increase consistency of conservation decision-making, such a
policy would be based on a transparent and objective approach where biophysical science is consid-
ered explicitly and then integrated with socioeconomic and governance criteria. Below, we develop
such a scientific framework, which can form a base for integration of community, socio-economic,
and governance issues to achieve Target 1 (see section: A framework to guide Canada’sprotected
area planning).
The Canadian context for protected areas: threats to
biodiversity in Canada
Canadians across political and demographic lines generally support effective environmental man-
agement: nearly all Canadians (97%) consider the protection of Canada’s endangered biodiversity
important
1
(McCune et al. 2017). Human pressures on the environment have had profound detri-
mental impacts on species across the globe (Ceballos et al. 2015;seeBox S1). Even within
Canada, a country with vast remaining wilderness and an international reputation for natural
resources (Watson et al. 2016a), human-dominated regions show extensive biodiversity loss
(see Fig. 1;Fig. 2;Coristine and Kerr 2011;McCune et al. 2013). The populations of hundreds
of wildlife species have declined rapidly in Canada over the past 150 years, placing them at
risk of extinction (canada.ca/en/environment-climate-change/services/committee-status-
endangered-wildlife.html). Although the precise causes are often species specific (McCune et al.
2013), habitat loss and destruction explain most declines for endangered terrestrial species
(Venter et al. 2006). Areas of intensive agriculture and urbanization (Kerr and Cihlar 2004;
Coristine and Kerr 2011), transportation networks (Robillard et al. 2015), industrial operations
such as mining and smelting (Bayne et al. 2008;Kelly et al. 2009;Hebblewhite 2017), and develop-
ment of wetlands (van Asselen et al. 2013) put intense pressure on ecosystems. A warming climate
1
64% very, 33% somewhat (Ipsos Reid 2012)
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 533
facetsjournal.com
further threatens organisms, species, communities, and ecosystems in a myriad of unanticipated
ways (Urban et al. 2016), particularly when populations must shift poleward through fragmented
and degraded habitats to track suitable climates (Robillard et al. 2015).
Thecumulativeeffectsofextinctionthreatscanbe far more devastating than expected from the
component threats alone (Schindler and Lee 2010;Coristine and Kerr 2011). The interactions of
multiple extinction threats are most apparent in southern Canada where the highest concentration
of land-use changes (Kerr and Cihlar 2004) and greatest loss of species habitat occur (Kerr and
Deguise 2004). Unfortunately, ecological thresholds of cumulative effects are poorly understood
Fig. 1. Current and historic land-use legacies in Canada. See Supplement S1 for data sources. Differing land-use legacies represent distinct conservation chal-
lenges for biodiversity (Locke 2017).
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 534
facetsjournal.com
(Kreutzweiser et al. 2013). A precautionary approach to conservation planning and land-use manage-
ment is needed to guard against these cumulative extinction threats (Gonzalez-Suarez and Revilla 2014).
Key principles of biodiversity conservation
In this paper, we discuss five key biodiversity conservation principles that can be used to facilitate an
evidence-based approach to the establishment of protected areas under Target 1. We identify gaps in
protection in Canada and illustrate how these principles can be integrated to identify areas with great-
est potential to improve biodiversity prospects.
Fig. 2. Range overlap of species at risk within Canada (data from ECCC 2016c). Southern Canada, with the greatest numbers of species at risk, coincides with
the most developed areas.
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 535
facetsjournal.com
Principle 1: protect species at risk
Protection of species at risk is essential to biodiversity conservation. Areas with the greatest loss of
biodiversity tend to occur in highly developed southern portions of Canada and represent regions where
the greatest strides can be made to reverse biodiversity decline.
The Committee on the Status of Endangered Wildlife in Canada (COSEWIC) assesses the status of
wildlife species or other designatable units and has identified 735 species at risk of extinction.
Three-quarters of these species are legally listed under the Species At Risk Act (SARA) (ECCC
2017) and protected against intentional harming or killing. SARA does not automatically protect
the habitat of these species (Bird and Hodges 2017), which is only legally designated once a recovery
strategy is finalized. Critical habitat protection generally only applies on federal land (∼5% of land
within the provinces) unless the species is aquatic or a migratory bird or an emergency order is issued.
Climatic requirements are not currently included in critical habitat designations, making it difficult to
plan for future habitat needs.
Indeed, there is clear evidence that current protection for Canadian species at risk is not sufficient;
even after being designated under COSEWIC, the status of many species at risk in Canada continues
to decline. Where species have been reassessed by COSEWIC, declines outnumber improvements by
more than two to one (Favaro et al. 2014). Further, one-quarter of the observed improvements were
driven by increased sampling effort, not intensified conservation efforts (Favaro et al. 2014).
Increasing protected areas within regions where species are currently threatened is central to reducing
biodiversity loss (Fig. 2). Ecological restoration will often be needed to ensure that these already
impacted landscapes increase local biodiversity (Benayas et al. 2009) and effectively connect popula-
tions (see Principle 4; M’Gonigle et al. 2015;Foster et al. 2017). Canada Target 1 has the potential
to dramatically improve conservation for species at risk through well-situated protected areas
(Venter et al. 2014) that include critical habitat and restoration of degraded lands. To prevent further
erosion of Canada’s biodiversity, this principle should be prioritized.
Principle 2: represent ecosystem diversity
Minimum protection targets for each Canadian ecoregion can ensure persistence of a variety of
ecosystem services (e.g., flood control, carbon sequestration), as well as preserve diverse ecological
communities.
Canada is home to a diversity of biological communities with unique interacting species in habitats
ranging from the desert of southern British Columbia to the tundra of the Arctic territories.
Preserving biodiversity across this array of habitats is only possible if functional ecosystems remain
intact in each (see Principles 1 and 4). Aichi Target 11 recommends protecting a minimum of
10% in each “ecoregion”to ensure representativeness (cbd.int/sp/targets/rationale/target-11). Thus,
a second principle when prioritizing candidate protected areas for Target 1 is representativity.
Maintaining representative areas of Canada’s diverse ecosystems allows people to benefit from the
various ecosystem services that these regions provide (deGrootetal.2002;Carpenter et al. 2009).
Ecosystem services are place specific, so preserving large, well-connected, representative areas for
major ecosystems of Canada is similar to an insurance policy against losing these services.
The scale and criteria used to specify “ecoregions”can dramatically influence conservation decisions
around representativeness. Ecoregions are defined as “large units of land containing a distinct assem-
blage of natural communities and species, with boundaries that approximate the original extent of
natural communities prior to major land-use change”(Olsonetal.2001,p.933). We recommend
Canada’s 194 terrestrial ecoregions, as developed by the National Ecological Framework for Canada
(NEFC) (ESWG 1995), as an appropriate scale for defining representativeness in Canada rather than
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 536
facetsjournal.com
the coarser ecozones currently considered by Environment Canada (e.g., ECCC 2016b;seeFig. S1)or
the parks planning regions considered by Parks Canada (2014). For example, one of 18 terrestrial eco-
zones (ccea.org/ecozones-introduction/), the Boreal Shield, is massive, extending from Alberta to
Newfoundland (1.8 million km
2
) and encompassing a wide variety of ecosystems (from the sand
dunes of the Athabasca plains to the heathlands of the Maritime barrens). Using too coarse a scale
for ecological representativeness could result in the loss of unique biological communities that are
excluded from protected area conservation targets. This is especially true when there are limited data
available regarding community structure and risk of extirpation of component species (see Table 1).
The current extent of protection varies widely among Canadian ecoregions. Several ecoregions have
no protection (e.g., Takijua Lake Upland, Mackenzie Delta), whereas others are almost entirely pro-
tected (e.g., Mount Logan, Nahanni Plateau). Only 67 of Canada’s 194 ecoregions meet the Aichi
Target 11 minimum of 10% protection by ecoregion (Fig. 3). Furthermore, for many ecoregions, pro-
tected areas are in small and isolated parcels; few ecoregions have large contiguous protected areas
(Fig. 3(b)).
Table 1. Data availability and outstanding data needs for each of the five conservation principles.
Principle Data used Priority Outstanding data requirements
Species at risk Range maps for 490 species at risk
a
Greatest overlap for species at risk Range maps for unmapped species at risk
Critical habitat maps for species at risk
Climatic habitat maps for species at risk
Backlogged species awaiting listing decisions
Global responsibility for species
Representativeness Protected areas meeting Aichi
Target 11
b
Ecoregions with least protected areas Environmental diversity
Ecoregion boundaries
c
—Ecosystem services
Wilderness Human population density 2015
d
Least human impact —
Global Forest Watch, Access 2010
e
——
Land Cover 2015
f
——
Connectivity Current connectivity initiatives
g–j
Pre-existing connectivity effort Migration routes for diverse species
Riparian buffer zone
k
0–1500 m buffer on major rivers and lakes Structural connectivity assessments
Climate change resilience Climate change resilience map
l
Areas with lowest velocity, fewest extremes,
and consistent seasonal and annual changes
Climate connectivity
a
ECCC, SARA database.
b
ccea.org/download-carts-data/.
c
NEFC (1996).
d
Center for International Earth Science Information Network (CIESIN)—Columbia University (2016).
e
Global Forest Watch Canada (2014,2016).
f
European Space Agency Climate Change Initiative (2017).
g
y2y.net/.
h
programs.wcs.org/2c1forest/.
i
a2acollaborative.org/.
j
borealbirds.org/.
k
CANVEC (2013).
l
Coristine et al. 2016; derived from climate data at cfs.nrcan.gc.ca/projects/3/4 (including McKenney et al. 2011).
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 537
facetsjournal.com
Fig. 3. The current extent of protection within each of Canada’s 194 terrestrial ecoregions. Percent of each ecoregion that (a) is protected and (b) contains pro-
tected areas >5000 km
2
(CCEA 2016). Ecoregions are based on the National Ecological Framework for Canada (NEFC 1996;ESWG 1995).
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 538
facetsjournal.com
Principle 3: conserve remaining wilderness
Intact wilderness areas are the least impacted by human activities; their protection preserves more natu-
ral ecological communities. Protected wilderness areas should be large to minimize human impacts from
outside the protected area and retain natural processes such as fire regimes and long-distance
migration.
The third principle protects large, intact land, which in Canada remains mainly in the north (Fig. 1).
Canada has the ability and, arguably, a global responsibility to preserve much of the world’s remain-
ing wilderness. Protecting large undisturbed areas ensures that the complete suite of biological proc-
esses remain relatively unperturbed and retains future potential for ecological and evolutionary
adaptation (Turner et al. 2007;Wilson et al. 2009;Pereira et al. 2010;butforadissentingview,see
Bush et al. 2017). For example, the Canadian boreal has a high density of carbon storage, and its pro-
tection would also reduce carbon release (Bala et al. 2007;Bonan 2008). Further, intact wilderness
areas are less likely to be affected by human-introduced diseases (Foley et al. 2005) or invasive species
(Didham et al. 2005) and provide improved biodiversity outcomes for species impacted by climate
change (Martin and Watson 2016; Principle 5). Protecting northern ecosystems is also important
for maintaining and strengthening Indigenous governance in land stewardship (Murray and King
2012), in a region that is disproportionately threatened by climate change (Durkalec et al. 2015).
Tracts of ecologically intact wilderness have been lost across the globe; less than 25% of non-barren
ice-free land remains free from anthropogenic use (Ellis and Ramankutty 2008;Venter et al. 2016;
Watson et al. 2016a). Yet intact wilderness supports high levels of biodiversity (Gurd et al. 2001;
Pollock et al. 2017), diverse communities (see Crooks 2002;Ferraz et al. 2003;Gibson et al. 2013), eco-
system services (Bala et al. 2007), and processes such as fire regimes (Gill et al. 2013;Stephens et al.
2014). Canada contains fully one-third of the world’s remaining non-barren wilderness areas
(Fig. S2;Ellis and Ramankutty 2008) and almost one-quarter of the world’s intact forests (Potapov
et al. 2017). Much of Canada remains isolated from transportation infrastructure, human land-use
change, and other development (Venter et al. 2016).
To ensure wilderness areas remain intact and to allow natural processes such as fire and long-distance
migration to occur within them, areas protected under this principle should be large in size.
Long-term persistence of species (Principle 1) is compromised when insufficient area is protected
due to the risk of local extinction and the difficulty of recolonization when populations are uncon-
nected (Haddad et al. 2015;Belote et al. 2016; Principle 4). Although the minimum area for an effec-
tive reserve depends on the ecosystem and organism assemblage, assessments of mammalian data
from contiguous and fragmented areas found that reserves >5 000 km
2
would likely conserve the his-
toric assemblage of species (Gurd et al. 2001). Within Canada, relatively few protected areas exceed
this size (Fig. 3(b)).
Principle 4: ensure connectivity and resilience
Ecological connectivity is important at local, regional, and national scales, promoting opportunities for
species’natural movements. Resilience of populations and species can be fostered through strategic pro-
tection of areas that increase connectivity.
The fourth principle, connectivity, promotes natural movements for wide-ranging species
(see Di Minin et al. 2016), prevents breeding populations from becoming isolated (Haddad et al.
2015;Belote et al. 2016), and facilitates south-to-north and elevational movement of individuals that
are shifting geographically in response to changing climates (Coristine and Kerr 2015;Robillard
et al. 2015). Long-term experiments have shown that fragmentation of landscapes reduces biodiver-
sity by 13%–75%, lowering species’abundance and persistence times (Haddad et al. 2015,
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 539
facetsjournal.com
but see Fahrig 2003). Additionally, connecting fragmented landscapes through corridors reduces spe-
cies loss (Principle 1; see Crooks et al. 2017;Thompson and Gonzalez 2017), improves core ecosystem
functions (Principle 2; see Hauer et al. 2016), and can contribute to the provision of some ecosystem
services (Mitchell et al. 2013), such as pollination (M’Gonigle et al. 2015).
Unfortunately, there is no current analysis on the connectivity needs of diverse species in Canada.
Nevertheless, Canada Target 1 can be guided by existing initiatives that have highlighted priority areas
for connectivity planning. For example, at a large landscape level, the Yellowstone to Yukon
Conservation Initiative (Y2Y) aims to protect and connect habitat over 1.3 million km
2
across the
western United States and Canada to increase connectivity between core areas for wide-ranging spe-
cies such as caribou (e.g., Rangifer tarandus (Linnaeus, 1758)), wolverines (e.g., Gulo gulo
(Linnaeus, 1758)), wolves (e.g., Canis lupus Linnaeus, 1758), and grizzly bears (e.g., Ursus arctos
Linnaeus, 1758) (Chester et al. 2012;Fig. S4). Furthermore, migratory songbirds have been used to
define corridors (e.g., Boreal Songbird Initiative). Although connectivity initiatives may focus on spe-
cific taxa, these often serve as “umbrella species”to protect connectivity for non-focal taxa (Carroll
et al. 2003;Steenweg 2016). For example, the Boreal Songbird Initiative encompasses the range of
the threatened boreal woodland caribou (e.g., Rangifer tarandus caribou (Gmelin, 1788)), so efforts
to increase protection and connectivity for songbirds would also benefit caribou.
In addition to previously identified connectivity priorities, connectivity can be improved by protect-
ing land around waterways (Hilty and Merenlender 2004;Hauer et al. 2016). Besides facilitating wild-
life movement, setbacks around streams reduce threats to semiaquatic species (Saunders et al. 2002),
integrate freshwater and terrestrial communities (Adams et al. 2014), and protect water quality
(Dosskey et al. 2010;Hauer et al. 2016). Federal and provincial guidelines (e.g., minimum 30 m ripar-
ian strips on each side of a stream; Chilibeck et al. 1992;Environment Canada 2013) are a start, but
they are not mandated for all land and are typically too small to gain the full benefits of riparian buff-
ers. Indeed, research indicates that terrestrial species preferentially use vegetated riparian land up to
1500 m from freshwater streams (Hilty and Merenlender 2004). Prioritizing the protection of larger
riparian buffers would thus contribute to improved connectivity and biodiversity health across
watersheds.
Principle 5: preserve climate refugia
Protecting areas with milder climate change reduces the risk to species from extreme climatic events
(such as heat waves, hurricanes, and drought) and from insufficient tracking of preferred environmental
conditions.
The risks of climate change to biodiversity can be reduced by preferentially protecting areas that
currently—or are predicted to—experience less climate change and fewer extreme climatic events
(Moritz and Agudo 2013;Coristine et al. 2016; see also Table 1). Climatically stable areas (“climate
refugia”) foster the persistence of biological communities (Iwamura et al. 2010) and facilitate popula-
tion movement from current to future suitable habitat (Robillard et al. 2015;Coristine et al. 2016;
McGuire et al. 2016).
Climate change is expected to have ever increasing negative impacts for the majority of species as geo-
graphic distributions diverge from climatically suitable habitat and resource regions. In songbirds,
asynchrony between food availability and migration arrival has led to population declines (Mayor
et al. 2017). Inadequate expansion of range limits in response to climate change has caused compres-
sion of species’ranges (Coristine and Kerr 2015). Extreme climatic events are linked to reproductive
failure (Bolger et al. 2005) and population loss (Williams et al. 2013;Oliver et al. 2015). Given
Canada’s large area, position as a polar country, and the number of species whose ranges have already
shifted, from birds (Foden et al. 2013;Coristine and Kerr 2015) to trees (Aitken et al. 2008),
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 540
facetsjournal.com
Canada may well witness more biodiversity redistribution in the face of climate change than most
other countries. Both protecting climate refugia (Coristine et al. 2016)andensuringhabitat
connectivity (see Principle 4) reduce the threat to biodiversity from climate change (Saura et al.
2014;Saura et al. 2017).
A framework to guide Canada’s protected area planning
We call for a framework, illustrated in Fig. 4, to govern protected area identification, which uses system-
atic conservation planning (Margules and Pressey 2000) to guide decisions in a way that explicitly incor-
porates both biophysical and socio-economic evidence. As a preliminary step, we identify conservation
gaps and discuss candidate areas based on the five scientific ecological principles. Subsequent work must
next incorporate site-specific ecological analysis and socio-economic and governance considerations
into the planning process for protected area prioritization.
Identify conservation deficits
Because existing protected area networks are biased towards particular ecoregions (Dinerstein et al.
2017;Fig. 3) and are unequally distributed with respect to taxa (Rodrigues et al. 2004b), an important
first stage in any protected area selection process is to identify conservation deficits (Fig. 4). These
“gap analyses”allow quantitative comparisons between biodiversity targets and protected area perfor-
mance and identify missing components in protection (e.g., Table 1;Scott et al. 1993;Jennings 2000;
Rodrigues et al. 2004a). Gaps and opportunities were identified for each of the five principles. We
used geographic information system (GIS) methods to map the number of species at risk according
to their range maps (Principle 1, Fig. 2), quantify the amount of protected area in each ecoregion
(Principle 2, Fig. 3), measure wilderness according to the absence of intense human pressure and
assign a higher rank to areas of at least 5000 km
2
of contiguous wilderness (Principle 3), highlight
areas that have been previously identified as important for connectivity or that improve connectivity
along waterways (Principle 4), and evaluate areas with the greatest climatic stability (Principle 5; see
Supplement S1 for further details on methodology).
Although not performed here, gap analyses can also identify deficits in protected area governance
structures and management regimes. As an example, the lack of formal recognition in Canadian law
for tribal parks and other Indigenous models of stewardship (TRCC 2015), so that very few protected
areas are governed by Indigenous peoples (Table 2, Canadian Protected Area Status Report
2012–2015), represents a governance-related gap within Canadian protected areas currently being
addressed by the Pathway to Canada Target 1 Indigenous Circle of Experts
2
.
Identify candidate areas
Following the identification of gaps, a second stage involves integrating the five principles to identify
candidate protected area sites with the highest rankings. We integrated the data on gaps and opportu-
nities for the five conservation principles to identify areas with broad potential to stem biodiversity
decline and preserve biodiversity into the future. For illustration purposes, we used two distinct
weighting procedures: equal weighting across each of the five principles (Fig. 5(a)); and a relative
weighting according to land-use legacy in Canada (Fig. 5(b);Locke 2017): within the heavily
settled/agricultural regions in the south, the areas of heavy resource extraction in middle latitudes,
and the least impacted areas to the north (Fig. 1;seealsoFoster et al. 2003). A relative weighting
reduces the likelihood that highly developed regions will be overlooked based on ecological principles
that can no longer be attained due to land-use legacy (e.g., wilderness). This relative weighting may be
2
conservation2020canada.ca/ice/
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 541
facetsjournal.com
Fig. 4. Description of scientific tools and processes for systematic conservation decision-making. The columns on the right indicate hypothetical progress
towards conservation goals according to the five conservation principles. Governance, economic, social, and cultural values, as well as immediacy of threat
and opportunity costs, are integrated into the process of identifying protected areas, building upon an initial assessment of conservation gaps. GIS, geographic
information system.
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 542
facetsjournal.com
useful in developing a balanced conservation approach across Canada, protecting wilderness where
available but also protecting biodiversity where it is most at risk (e.g., the mixed-wood plains of southern
Ontario; see Table S1 for a list of ecoregions containing sites with the highest composite score).
Not all of the above principles can be simultaneously optimized in any process to designate pro-
tected areas. Different approaches to protected areas may be necessary depending on context, for
instance preserving wilderness areas that remain relatively intact (a proactive approach) versus pre-
serving areas under threat from past and ongoing human development (a reactive approach)
(Brooks et al. 2006;Watson et al. 2016b). Prioritizing ecologically representative areas (proactive)
will tend to protect areas that do not currently contain neighboring protected areas, whereas areas
that improve connectivity (reactive) will tend to fill in gaps between adjacent protected areas.
Optimization methods can be used to identify which additional protected areas would satisfy the
most principles and can allow regionally relevant priorities to be incorporated (Gjertsen and
Barrett 2004;Kujala et al. 2013;Ekroos et al. 2014;Setälä et al. 2014). We developed a web-based
application that allows the data to be explored more fully and that allows users to identify candidate
areas based on different weightings of the conservation principles (climaterefugia.ca/research/
canada-target-1/conservation-planning-tool).
Consider human dimensions
Ultimately, the environmental principle that is most important in any given region depends not only
on the distribution of species and ecosystems at risk but also on socio-economic and governance con-
siderations (i.e., which are infrequently incorporated as spatial data; Mangubhai et al. 2015). For in-
stance, information on immediacy of threats (not included in our analyses) would likely enhance
the importance of regions where species at risk occur, notably in the Okanagan, prairies and mixed-
wood plains or regions at risk of imminent development such as the Peace Lowland (see Table S1).
Nevertheless, separating environmental scientific criteria as illustrated above from social, economic,
and governance considerations provides clarity in conservation decision-making processes, offering
a clear delineation between what biophysical science indicates and the other key aspects that must
enter into policy decisions (Mooers et al. 2010). Moving forward, input from local communities and
other stakeholder groups needs to be integrated (Brooks et al. 2012;Bennettetal.2017;Charnley
et al. 2017). Numerous considerations inform decision-making at this stage including: immediacy of
Table 2. The total area protected and counting towards Aichi 11 under each governance type within Canada.
Governance type Examples
Area protected under
Aichi 11 (ha)
Federal National parks, national wildlife areas, and migratory bird sanctuaries 64 193 509
Provincial Provincial parks, nature reserves, and conservation reserves 37 794 901
Indigenous peoples Indigenous Protected and Conserved Areas, tribal parks, Indigenous and Community Conserved Areas,
and Indigenous Protected Areas
97 682
Non-profit organization Conservation easements and private lands that qualify as other effective area-based conservation
measures
12 079
Shared governance Territorial parks, co-management board 2 315 087
Not reported —880 737
Note: Data source: Canadian Council on Ecological Areas (ccea.org/download-carts-data/, data accessed: 30 November 2016). Data for the
protected areas in Quebec were requested from Directorate of Protected Areas of the Ministry of Sustainable Development, Environment and
Climate Change, Quebec (data version: 2 December 2016).
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 543
facetsjournal.com
Fig. 5. Hotspots for candidate Canadian protected areas based on scientific ecological principles of (i) species at risk, (ii) current representativeness within ecor-
egions, (iii) wilderness, (iv) connectivity, and (v) climate change resilience. Maps are (a) based on equal weighting of principles across Canada and (b) relative to
Canada’s historical land-use legacies (see Foster et al. 2003;Fig. 1) of urbanization, resource extraction, and wilderness. Warmer colours represent areas with the
potential to make a greater contribution to reversing biodiversity decline and preserving biodiversity for future generations. Note that these hotspots do not
incorporate considerations such as social, political, economic, immediacy of threat, or opportunity costs. Alternative methods to combine scientific ecological
principles are possible through an online web application (see climaterefugia.ca/research/canada-target-1/conservation-planning-tool).
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 544
facetsjournal.com
threats, implications of biodiversity loss for future generations, evaluation of social and economic
constraints and opportunity costs, community conservation practices, historical use, local livelihoods,
cultural values (particularly for Indigenous communities), and input of expertise across a variety of
knowledge systems. Integrating these considerations through an open and transparent process can
increase public acceptance and support for protected areas.
Identify new protected areas
With a framework in place that incorporates both scientific evidence and social, cultural, and eco-
nomic factors that influence protected area support and viability, quantitative modelling of alternative
scenarios can rank areas that best protect biodiversity and have the greatest community support
(Margules and Pressey 2000;Game et al. 2013;Mantyka-Pringle et al. 2016;Martin et al. 2017).
These methods can account for economic considerations (such as land acquisition and management
costs or costs of lost economic development opportunities; see Naidoo et al. 2006) as well as incorpo-
rate a wide range of values derived from consultations and rigorous social science to understand the
needs and perspectives of diverse stakeholders (Bennett et al. 2017). Spatial decision-making methods
rely on a quantitative set of rules to generate priorities for allocating limited conservation resources in
service of specified objectives (Margules and Pressey 2000,Margules and Sarkar 2007). Such spatial
conservation planning tools (e.g., Marxan, Zonation, C-Plan) (Moilanen et al. 2009) have been used
by a variety of conservation organizations and governments (Groves et al. 2002;Fernandes et al.
2005;Kremen et al. 2008).
Designate appropriate governance
A final important step in this process is to identify the type of protected area governance that is appro-
priate, feasible, and can be effectively implemented (Borrini-Feyerabend et al. 2013). Terrestrial con-
servation in Canada is complicated by the fact that multiple jurisdictions, with distinct laws and
priorities, must work together to identify, establish, and manage protected areas. There are multiple
legal designations for protected areas (Table 2), including those under the jurisdiction of the federal
government, provincial or territorial governments, Indigenous peoples, as well as privately protected
areas without formal legal designation. Choosing the appropriate type of governance may influence
the efficacy of protected area establishment and management (Lockwood 2010;Borrini-Feyerabend
et al. 2013;Bennett and Dearden 2014) and should be evaluated in relation to protected area targets
under Aichi Target 11. For example, approaches that foster cooperation with neighbouring commun-
ities (Fraser et al. 2006) and among agencies and jurisdictions (Dearden and Rollins 2016;Reed 2016)
result in more functional and robust conservation initiatives. In some places, the designation of “other
effective area-based conservation measures”may be more desirable than protected areas under
national or provincial jurisdiction.
Putting the pieces together: establishing protected areas in
Canada
Using a framework to evaluate the biodiversity value of areas for protection can help guard against
protected areas with little value for either development (e.g., agriculture) or species protection
(Venter et al. 2017). For example, biases have historically led to protected areas being located on lands
with higher elevations and steeper slopes (Margules and Pressey 2000;Joppa and Pfaff 2009).
Conservation planning, based on a suite of complementary approaches that encompass both proac-
tive and reactive management principles (Brooks et al. 2006), is needed to avoid protection bias and
to promote resilience into the future (Margules and Pressey 2000;Hannah et al. 2007;Beier and
Brost 2010). Prioritizing protected area planning across multiple conservation principles would pro-
vide the additional benefit of balancing Canada’s conservation portfolio to counter the loss of
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 545
facetsjournal.com
biodiversity where impacts are highest while also maximizing wilderness while the opportunity still
remains (Pouzols et al. 2014).
The urgency to identify and protectareas remains high across allregions of Canada, yet the rationale and
the available mechanisms for protection will differ depending on the region. In the south, protected area
conservation and ecological restoration are needed to protect species most at risk from human activities
and to improve connectivity among isolated habitat patches. Although adding protected areas to loca-
tions with greatest numbers of species at risk should be a priority, additional measures are needed to
incentivize protection on private lands, such as through conservation agreements, easements, or tax
incentives. For example, a tax-shifting strategy rewards protection of biodiversity features on private
lands by off-setting property taxes to lands without protection. Tax shifting could limit ongoing and
future threats to species at risk in regions with limited non-private land (Schuster et al. 2017).
By contrast, in the north, we have the greatest opportunities for protecting areas that have experienced
lower development and human impact pressure (Venter et al. 2016). The north includes the extensive
Canadian boreal (Brandt 2009), which experiences a dynamic fire (natural disturbance) cycle (Davies
et al. 2013). Protected areas must be large enough to encompass disturbance regimes while maintain-
ing metapopulation dynamics. For instance, the necessary reserve area to encompass dynamic
processes in northern Canada is estimated at ∼5000 km
2
, but requirements may be much higher
(for details see Leroux et al. 2007), under the expectation that climate change will drive increased
intensity and frequency of fires in northern Canada (Kasischke and Turetsky 2006;Davies et al.
2013;de Groot et al. 2013).
Contributing to global efforts: identifying key biodiversity areas
Canada, in deciding which areas to protect, should also seek to contribute to international efforts to
preserve biodiversity. The International Union for Conservation of Nature (IUCN) has established
criteria to identify globally significant areas for biodiversity protection (IUCN 2016;andsee
Supplement S2). These locations have not yet been fully identified but play a key role for the persist-
ence of a specific species or ecosystem (e.g., holding at least 20% of the global population of a species
or being one of a limited number of areas (≤2) representing an ecoregion). These exceptional areas for
biodiversity on a global scale are known as Key Biodiversity Areas (KBAs). The thresholds used to
trigger a KBA listing, although more stringent in requiring global biodiversity importance, are consis-
tent with the ecological principles listed above. A national approach could build upon global KBAs by
expanding the standards to include species and ecosystems of significance in Canada.
By highlighting regions of outstanding biological significance, KBAs can focus attention on regions
deserving of protection, instill public pride in protecting a globally important resource, and support
the development of conservation economies (e.g., ecotourism). To align with global efforts for biodi-
versity protection, Canada should contribute to global KBA protection, setting aside KBAs that pro-
tect species that only Canada can save (e.g., musk ox, Vancouver Island marmot, among others; see
Appendix C of Cannings et al. 2005) and ecoregions that only Canada has (e.g., areas within the
Northwest Territories Taiga, including the currently unprotected Mackenzie Delta).
Challenges
Not just area, effective management
Area alone is not sufficient for achieving Aichi Target 11. Under each governance category, the extent
to which protected areas contribute towards Aichi Target 11 varies significantly. Each type of pro-
tected area may allow different human uses and activities according to its IUCN management catego-
ries (see Dudley 2008), thereby influencing the type and quality of contribution towards reduction in
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 546
facetsjournal.com
biodiversity loss. Further, area-based conservation decisions must be economically feasible as well as
socially and politically acceptable. The effective management of protected areas also requires such fac-
tors as adequate financing, capacity, enforcement, outreach, and adaptive management (Hockings et
al. 2006;Watson et al. 2014). Changes in governance can also weaken protection, altering priorities
for protection. For example, the community pastures of Saskatchewan are included as a current pro-
tected area (here and in CCEA 2016), despite plans to shift management of these areas to local produc-
ers. This recent change would strongly alter the relative priority of grassland protection in these areas.
Protected areas, in and of themselves, are key approaches to ensure biodiversity persistence in to the
future. Adequate planning, regulation, and management of land-use activities outside of protected areas
are also necessary to foster effective biodiversity conservation (for discussion on these points, see
Polasky et al. 2005;Wood et al. 2014). Long-term planning can be used to forecast acceptable levels of
development that are consistent with biodiversity targets (e.g., regarding species diversity and abun-
dance), taking into account cumulative effects of all human activities on species and ecosystems at risk.
Data availability and uncertainty
Insufficient data can limit the ability of science to inform conservation decisions. Biodiversity data are
notoriously incomplete: distributions, relative abundance, population structure, and species inter-
actions are almost never known for all species in an ecosystem. In particular, recorded data on biodi-
versity is extremely sparse in northern Canada (Fig. S3). Furthermore, although temporal data sets
are critical for generating baseline information and assessing rates of change, such data sets are often
incomplete (e.g., due to gaps in funding, shifts in monitoring platforms, etc.) or simply not available
(Table 1). Although there is a greater certainty for trends in threats to biodiversity, failure to account
for all risks compounds data uncertainty. For instance, there is a tendency for protected area analyses
to discount species’and populations’poleward movement as climates change thereby generating esti-
mates of optimal protected area locations that become increasingly inaccurate as climate change pro-
gresses. Representativeness in particular assumes species, population, communities, and ecosystems
will remain spatially static over long time frames. The development of novel statistical and technologi-
cal techniques (e.g., near-real-time biodiversity indicators through remote sensing) represents prom-
ising approaches to address incomplete data (Ovaskainen and Soininen 2011;Deblauwe et al. 2016;
Santini et al. 2016;Bush et al. 2017). Increased data availability would also increase the accuracy of
efforts to prioritize areas for protection. However, making decisions with incomplete data is preferable
to delaying decision-making and can reduce overall biodiversity decline (Martin et al. 2017).
Another major data gap concerns identifying priority regions for ensuring connectivity. As Canada-
wide data on home ranges and dispersal routes is currently lacking for many species, we measured
importance to connectivity based on an area’s proximity to waterways and on existing connectivity
initiatives under the assumption that these initiatives were motivated to identify and protect locations
that promote migratory routes and dispersal (see Brown and Harris 2005;Badiou et al. 2013). A more
direct metric would collate the movement data and measure functional connectivity needs for a broad
array of species across Canada, including plants.
Climate change is a significant driver of current and future biodiversity decline (Urban 2015;
Coristine and Kerr 2015). Although our fifth principle selects regions that are predicted to be rela-
tively stable in the face of future climate change (Principle 5), this could be augmented through data
on “pinch-points”: areas that are predicted to provide limiting habitat or climate at some point in
the future as species move from where they live today to where they are predicted to live under chang-
ing climatic conditions. More research is needed to identify and increase certainty around estimates of
future climatic connectivity in Canada (for a US example see McGuire et al. 2016). Including climate
connectivity in our analyses would build upon efforts to map future ecosystem distributions (e.g., in
British Columbia: Wang et al. 2012).
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 547
facetsjournal.com
Although we outlined a way to identify candidate areas for protection in Canada based on five key
conservation principles, these principles are not mutually exclusive of other considerations nor do
they represent an absolute prioritization. For instance, we did not explicitly consider biodiversity rich-
ness, although the principle of protecting species at risk accounts for the local richness of such species
(Fig. 2). We did not include richness because native species richness is not well mapped across
Canada and because it is affected by invasive species and habitat fragmentation in ways that
complicate the assessment of protected area value for biodiversity (Dornelas et al. 2014;seeTable 1
and Fig. S3).
Conclusion
Spatial analyses and maps provide an important set of tools to make and evaluate decisions about con-
servation and can enhance current protected area selection by highlighting key gaps (i.e., species at
risk, governance; see Fig. 2,Table 2) and identifying priorities for action (Fig. 5). Ultimately, deci-
sions on site selection for protected areas should have an objective foundation in ecological criteria
prior to balancing a suite of trade-offs and conflicting priorities arising from social, economic, politi-
cal, cultural, and land-use legacies (Fig. 4). To achieve the stated Aichi Target 11 goals of reducing
biodiversity loss and preserving biodiversity into the future, environmental science principles should
be used to identify areas with the greatest potential to make a difference.
Based on five key principles, we identified regions with potential to both reduce biodiversity loss and
preserve biodiversity into the future (Fig. 5). In particular, species within highly urbanized and devel-
oped portions of Canada are disproportionately threatened; we recommend that protected areas
should be designed and prioritized relative to the land-use legacy within the region (Fig. 5(b)). We
also identified locations that are low priority (viz. with low species at risk, high representativity,
degraded ecosystems, and low connectivity potential), which would not substantially contribute to
reducing the rate of biodiversity loss; Canada should avoid protecting such areas without providing
a scientifically grounded justification. Biodiversity priorities are based on a number of factors and
all levels of government should be transparent and explicit about using biodiversity priorities in sys-
tematic conservation planning. This spatially explicit mapping of key principles for biodiversity con-
servation is a step toward identifying protected areas based on ecological principles and evidence as
Canada strives to achieve Target 1.
Acknowledgements
Discussions with J. Hilty and H. Locke were invaluable to the development of this research. Two
anonymous reviewers provided feedback that greatly improved this manuscript. This project would
nothavebeenpossiblewithouttheunderlyingspatial data, made available through: Environment
and Climate Change Canada, NatureServe, Global Forest Watch, Canadian Council on Ecological
Areas—Conservation Areas Reporting and Tracking System, Natural Resources Canada, Canadian
Soil Information Service—National Ecological Framework, Socioeconomic Data and Applications
Center. We thank S. McKee for contributing to species at risk data that informed Fig. 2.Wethank
Erle Ellis for sharing data on areas of wildlands by country. LC dedicates her efforts on this manu-
script to Robin, Julian, and Kaitlyn—animal rescuers and outdoor adventurers. This project was made
possible through generous funding from the Liber Ero Fellowship Program.
Author contributions
LEC, ALJ, RS, and SPO conceived and designed the study. LEC and RS performed the experiments/
collected the data. LEC analyzed and interpreted the data. LEC, ALJ, RS, SPO, NEB, NJB, SJB, CD,
BF,AF,LN,DO,WJP,JLP,DSS,OV,andSWcontributedresources.LEC,ALJ,RS,SPO,NEB,
NJB, SJB, CD, BF, AF, LN, DO, WJP, JLP, DSS, OV, and SW drafted or revised the manuscript.
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 548
facetsjournal.com
Competing interests
BF is currently serving as a Subject Editor for FACETS, but was not involved in review or editorial
decisions regarding this manuscript.
Data accessibility statement
All relevant data are within the paper, the Supplementary Material, and the underlying spatial data are
available through Environment and Climate Change Canada, NatureServe, Global Forest Watch,
Canadian Council on Ecological Areas—Conservation Areas Reporting and Tracking System,
Natural Resources Canada, Canadian Soil Information Service—National Ecological Framework,
and the Socioeconomic Data and Applications Center (refer to the references section for details).
Supplementary Materials
The following Supplementary Material is available with the article through the journal website at
doi:10.1139/facets-2017-0102.
Supplementary Material 1
References
Adams VM, Álvarez-Romero JG, Carwardine J, Cattarino L, Hermoso V, Kennard MJ, et al. 2014.
Planning across freshwater and terrestrial realms: cobenefits and tradeoffs between conservation
actions. Conservation Letters, 7: 425–440. DOI: 10.1111/conl.12080
Aitken SN, Yeaman S, Holliday JA, Wang T, and Curtis-McLane S. 2008. Adaptation, migration or
extirpation: climate change outcomes for tree populations. Evolutionary Applications, 1: 95–111.
PMID: 25567494 DOI: 10.1111/j.1752-4571.2007.00013.x
Badiou P, Baldwin R, Carlson M, Darveau M, Drapeau P, Gaston K, et al. 2013. Conserving the world’s
last great forest is possible: here’s how. International Boreal Conservation Science Panel: briefing note.
Bala G, Caldeira K, Wickett M, Phillips TJ, Lobell DB, Delire C, et al. 2007. Combined climate and
carbon-cycle effects of large-scale deforestation. Proceedings of the National Academy of Sciences of
the USA, 104: 6550–6555. PMID: 17420463 DOI: 10.1073/pnas.0608998104
Barnosky AD, Matzke N, Tomiya S, Wogan GOU, Swartz B, Quental TB, et al. 2011. Has the Earth’s
sixth mass extinction already arrived? Nature, 471: 51–57. PMID: 21368823 DOI: 10.1038/nature09678
Bayne EM, Habib L, and Boutin S. 2008. Impacts of chronic anthropogenic noise from energy-sector
activity on abundance of songbirds in the boreal forest. Conservation Biology, 22: 1186–1193. PMID:
18616740 DOI: 10.1111/j.1523-1739.2008.00973.x
Beier P, and Brost B. 2010. Use of land facets to plan for climate change: conserving the arenas, not the
actors. Conservation Biology, 24: 701–710. PMID: 20067491 DOI: 10.1111/j.1523-1739.2009.01422.x
Belote RT, Dietz MS, McRae BH, Theobald DM, McClure ML, Irwin GH, et al. 2016. Identifying cor-
ridors among large protected areas in the United States. PLoS ONE, 11: e0154223. PMID: 27104683
DOI: 10.1371/journal.pone.0154223
Belote RT, Dietz MS, Jenkins CN, McKinley PS, Irwin GH, Fullman TJ, et al. 2017. Wild, connected,
and diverse: building a more resilient system of protected areas. Ecological Applications, 27:
1050–1056. PMID: 28263450 DOI: 10.1002/eap.1527
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 549
facetsjournal.com
Benayas JMR, Newton AC, Diaz A, and Bullock JM. 2009. Enhancement of biodiversity and ecosys-
tem services by ecological restoration: a meta-analysis. Science, 325: 1121–1124. DOI: 10.1126/
science.1172460
Bennett NJ, and Dearden P. 2014. From measuring outcomes to providing inputs: governance, man-
agement, and local development for more effective marine protected areas. Marine Policy, 50: 96–110.
DOI: 10.1016/j.marpol.2014.05.005
Bennett NJ, Roth R, Klain SC, Chan KMA, Christie P, Clark DA, et al. 2017. Conservation social sci-
ence: Understanding and integrating human dimensions to improve conservation. Biological
Conservation, 205: 93–108. DOI: 10.1016/j.biocon.2016.10.006
Bird SC, and Hodges KE. 2017. Critical habitat designation for Canadian listed species: slow, biased,
and incomplete. Environmental Science & Policy, 71: 1–8. DOI: 10.1016/j.envsci.2017.01.007
Bolger DT, Patten MA, and Bostock DC. 2005. Avian reproductive failure in response to an extreme
climatic event. Oecologia, 142: 398–406. PMID: 15549403 DOI: 10.1007/s00442-004-1734-9
Bonan GB. 2008. Forests and climate change: forcings, feedbacks, and the climate benefits of forests.
Science, 320: 1444–1449. PMID: 18556546 DOI: 10.1126/science.1155121
Borrini-Feyerabend G, Dudley N, Jaeger T, Lassen B, Pathak Broome N, Philips A, et al. 2013.
Governance of protected areas: from understanding to action, Best Practice Protected Area
Guideline Series. IUCN, Gland, Switzerland.
Bottrill M, and Pressey R. 2012. The effectiveness and evaluation of conservation planning.
Conservation Letters, 5: 407–420. DOI: 10.1111/j.1755-263X.2012.00268.x
Brandt JP. 2009. The extent of the North American boreal zone. Environmental Reviews, 17: 101–161.
DOI: 10.1139/A09-004
Brooks JS, Waylen KA, and Mulder MB. 2012. How national context, project design, and local com-
munity characteristics influence success in community-based conservation projects. Proceedings of
the National Academy of Sciences of the USA, 109: 21265–21270. DOI: 10.1073/pnas.1207141110
Brooks TM, Mittermeier RA, da Fonseca GA, Gerlach J, Hoffmann M, Lamoreux JF, et al. 2006. Global
biodiversity conservation priorities. Science, 313: 58–61. PMID: 16825561 DOI: 10.1126/science.1127609
Brown R, and Harris G. 2005. Comanagement of wildlife corridors: the case for citizen participation
in the Algonquin to Adirondack proposal. Journal of Environmental Management, 74: 97–106.
PMID: 15627463 DOI: 10.1016/j.jenvman.2004.08.005
Bush A, Sollmann R, Wilting A, Bohmann K, Cole B, Balzter H, et al. 2017. Connecting Earth obser-
vation to high-throughput biodiversity data. Nature Ecology & Evolution, 1: 0176. DOI: 10.1038/
s41559-017-0176
Butchart SH, Walpole M, Collen B, Van Strien A, Scharlemann JP, Almond RE, et al. 2010. Global
biodiversity: indicators of recent declines. Science, 328: 1164–1168. PMID: 20430971 DOI: 10.1126/
science.1187512
Canadian Council on Ecological Areas. 2016. Conservation Areas Reporting and Tracking System
(CARTS) data [online]: Available from ccea.org/download-carts-data/, for the Quebec portions of
the dataset we requested data directly from Registre des aires protégées au Québec.
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 550
facetsjournal.com
Cannings S, Anions M, Rainer R, and Stein B. 2005. Our home and native land: Canadian species of
global conservation concern. NatureServe Canada, Ottawa, Ontario.
CANVEC. 2013. CANVEC 15 Meter hydro features of Canada. A joint initiative from the national
topographic data base, the mapping the north process conducted by the Canada Center for
Mapping and Earth Observation, the Atlas of Canada, and the GeoBase initiative [online]: Available
from ftp.maps.canada.ca/pub/nrcan_rncan/vector/canvec/shp/Hydro/.
Carpenter SR, Mooney HA, Agard J, Capistrano D, DeFries RS, Díaz S, et al. 2009. Science for man-
aging ecosystem services: beyond the Millennium Ecosystem Assessment. Proceedings of the
National Academy of Sciences of the USA, 106: 1305–1312. DOI: 10.1073/pnas.0808772106
Carroll C, Noss RF, Paquet PC, and Schumaker NH. 2003. Use of population viability analysis and
reserve selection algorithms in regional conservation plans. Ecological Applications, 13: 1773–1789.
DOI: 10.1890/02-5195
Ceballos G, Ehrlich PR, Barnosky AD, García A, Pringle RM, and Palmer TM. 2015. Accelerated
modern human-induced species losses: entering the sixth mass extinction. Science Advances, 1:
e1400253. PMID: 26601195 DOI: 10.1126/sciadv.1400253
Ceballos G, Ehrlich PR, and Dirzo R. 2017. Biological annihilation via the ongoing sixth mass extinc-
tion signaled by vertebrate population losses and declines. Proceedings of the National Academy of
Sciences of the USA, 114(30): E6089–E6096. PMID: 28696295 DOI: 10.1073/pnas.1704949114
Center for International Earth Science Information Network (CIESIN)—Columbia University. 2016.
Gridded Population of the World, Version 4 (GPWv4): population density. NASA Socioeconomic
Data and Applications Center (SEDAC), Palisades, New York. DOI: 10.7927/H4NP22DQ
ChapeS,HarrisonJ,SpaldingM,andLysenkoI.2005.Measuringtheextentandeffectivenessof
protected areas as an indicator for meeting global biodiversity targets. Philosophical Transactions
of the Royal Society B: Biological Sciences, 360: 443–455. PMID: 15814356 DOI: 10.1098/
rstb.2004.1592
Charnley S, Carothers C, Satterfield T, Levine A, Poe MR, Norman K, et al. 2017. Evaluating the best
available social science for natural resource management decision-making. Environmental Science &
Policy, 73: 80–88. DOI: 10.1016/j.envsci.2017.04.002
Chessman BC. 2013. Do protected areas benefit freshwater species? A broad-scale assessment for fish
in Australia’sMurray–Darling Basin. Journal of Applied Ecology, 50: 969–976. DOI: 10.1111/
1365-2664.12104
Chester CC, Hilty JA, and Francis WL. 2012. Yellowstone to Yukon, North America. In Climate
and conservation. Edited by JA Hilty, CC Chester, and MS Cross. Island Press, Washington, DC.
pp. 240–252.
Chilibeck B, Chislett G, and Norris G. 1992. Land development guidelines for the protection of
aquatic habitat. Copublished by Ministry of Environment, Lands and Parks and Department of
Fisheries and Oceans, British Columbia.
Chu C, Minns CK, and Mandrak NE. 2003. Comparative regional assessment of factors impacting
freshwater fish biodiversity in Canada. CanadianJournalofFisheriesandAquatic Sciences, 60:
624–634. DOI: 10.1139/f03-048
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 551
facetsjournal.com
Chu C, Minns CK, Lester NP, and Mandrak NE. 2014. An updated assessment of human activities,
the environment, and freshwater fish biodiversity in Canada. Canadian Journal of Fisheries and
Aquatic Sciences, 72: 135–148. DOI: 10.1139/cjfas-2013-0609
Coristine LE, and Kerr JT. 2011. Habitat loss, climate change, and emerging conservation challenges
in Canada. Canadian Journal of Zoology, 89: 435–451. DOI: 10.1139/z11-023
Coristine LE, and Kerr JT. 2015. Temperature-related geographical shifts among passerines: contrast-
ing processes along poleward and equatorward range margins. Ecology & Evolution, 5(22):
5162–5176. DOI: 10.1002/ece3.1683
Coristine LE, Soares RN, Soroye P, Robillard C, and Kerr JT. 2016. Dispersal limitation, climate
change, and practical tools for butterfly conservation in intensively used landscapes. Natural Areas
Journal, 36: 440–452. DOI: 10.3375/043.036.0410
Crooks KR. 2002. Relative sensitivities of mammalian carnivores to habitat fragmentation.
Conservation Biology, 16(2): 488–502. DOI: 10.1046/j.1523-1739.2002.00386.x
Crooks KR, Burdett CL, Theobald DM, King SR, Di Marco M, Rondinini C, et al. 2017. Quantification
of habitat fragmentation reveals extinction risk in terrestrial mammals. Proceedings of the National
Academy of Sciences of the USA, 114(29): 7635–7640. PMID: 28673992 DOI: 10.1073/
pnas.1705769114
Davies GM, Gray A, Rein G, and Legg CJ. 2013. Peat consumption and carbon loss due to smoulder-
ing wildfire in a temperate peatland. Forest Ecology and Management, 308: 169–177. DOI: 10.1016/j.
foreco.2013.07.051
Dearden P, and Rollins R (Eds.). 2016. Parks and protected areas in Canada: planning and manage-
ment. 4th edition. Oxford University Press, Oxford, UK.
DeblauweV,DroissartV,BoseR,SonkéB,Blach-OvergaardA,SvenningJC,etal.2016.Remotely
sensed temperature and precipitation data improve species distribution modelling in the tropics.
Global Ecology and Biogeography, 25: 443–454. DOI: 10.1111/geb.12426
de Groot RS, Wilson MA, and Boumans RM. 2002. A typology for the classification, description
and valuation of ecosystem functions, goods and services. Ecological Economics, 41: 393–408.
DOI: 10.1016/S0921-8009(02)00089-7
de Groot WJ, Flannigan MD, and Cantin AS. 2013. Climate change impacts on future boreal fire
regimes. Forest Ecology and Management, 294: 35–44. DOI: 10.1016/j.foreco.2012.09.027
De Vos JM, Joppa LN, Gittleman JL, Stephens PR, and Pimm SL. 2015. Estimating the normal back-
ground rate of species extinction. Conservation Biology, 29: 452–462. PMID: 25159086 DOI: 10.1111/
cobi.12380
Didham RK, Tylianakis JM, Hutchison MA, Ewers RM, and Gemmell NJ. 2005. Are invasive species
the drivers of ecological change? Trends in Ecology & Evolution, 20: 470–474. PMID: 16701420
DOI: 10.1016/j.tree.2005.07.006
Di Minin E, Slotow R, Hunter LT, Pouzols FM, Toivonen T, Verburg PH, et al. 2016. Global
priorities for national carnivore conservation under land use change. Scientific Reports, 6: 23814.
PMID: 27034197 DOI: 10.1038/srep23814
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 552
facetsjournal.com
Dinerstein E, Olson D, Joshi A, Vynne C, Burgess ND, Wikramanayake E, et al. 2017. An ecoregion-
based approach to protecting half the terrestrial realm. Bioscience, 67: 534–545. PMID: 28608869
DOI: 10.1093/biosci/bix014
Dornelas M, Gotelli NJ, McGill B, Shimadzu H, Moyes F, Sievers C, et al. 2014. Assemblage time series
reveal biodiversity change but not systematic loss. Science, 344(6181): 296–299. PMID: 24744374
DOI: 10.1126/science.1248484
Dosskey MG, Vidon P, Gurwick NP, Allan CJ, Duval TP, and Lowrance R. 2010. The role of riparian
vegetation in protecting and improving chemical water quality in streams. JAWRA Journal of the
American Water Resources Association, 46: 261–277. DOI: 10.1111/j.1752-1688.2010.00419.x
Dudley N (Ed.). 2008. Guidelines for applying protected area management categories. IUCN, Gland,
Switzerland. 86 p.
Durkalec A, Furgal C, Skinner MW, and Sheldon T. 2015. Climate change influences on environ-
ment as a determinant of Indigenous health: relationships to place, sea ice, and health in an Inuit
community. Social Science & Medicine, 136: 17–26. PMID: 25974138 DOI: 10.1016/j.socscimed.
2015.04.026
Ecological Stratification Working Group (ESWG). 1995. A national ecological framework for Canada.
Agriculture and Agri-Food Canada, Research Branch, Centre for Land and Biological Resources
Research and Environment Canada, State of the Environment Directorate, Ecozone Analysis
Branch, Hull, Ottawa.
Ekroos J, Olsson O, Rundlöf M, Wätzold F, and Smith HG. 2014. Optimizing agri-environment
schemes for biodiversity, ecosystem services or both? Biological Conservation, 172: 65–71.
DOI: 10.1016/j.biocon.2014.02.013
Ellis EC, and Ramankutty N. 2008. Putting people in the map: anthropogenic biomes of the world.
Frontiers in Ecology and the Environment, 6: 439–447. DOI: 10.1890/070062
Ellis EC, Klein Goldewijk K, Siebert S, Lightman D, and Ramankutty N. 2010. Anthropogenic
transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography, 19: 589–606.
DOI: 10.1111/j.1466-8238.2010.00540.x
Environment and Climate Change Canada (ECCC). 2016a. 2020 Biodiversity goals and targets for
Canada [online]: Available from publications.gc.ca/collections/collection_2016/eccc/CW66-524-
2016-eng.pdf.
Environment and Climate Change Canada (ECCC). 2016b. Canadian protected areas status report
2012–2015. 129 p.
Environment and Climate Change Canada (ECCC). 2016c. Species at Risk range dataset for species
that are either an ECCC responsibility or a joint Parks Canada—ECCC responsibility, and that were
SARA Schedule 1 listed as of March 28th 2013. SARA Management and Regulatory Affairs.
Environment and Climate Change Canada (ECCC). 2017. Species at risk listed on Schedule 1 of
SARA [online]: Available from sararegistry.gc.ca/species/schedules_e.cfm?id=1.
Environment Canada. 2013. How much habitat is enough? 3rd edition. Environment Canada,
Toronto, Ontario. [online]: Available from ec.gc.ca/nature/default.asp?lang=En&n=E33B007C-1.
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 553
facetsjournal.com
European Space Agency Climate Change Initiative. 2017. Land cover project 2014–2017. Land Cover
map 2015 [online]: Available from maps.elie.ucl.ac.be/CCI/viewer/download.php.
Fahrig L. 2003. Effects of habitat fragmentation on biodiversity. Annual Review of Ecology, Evolution,
and Systematics, 34: 487–515. DOI: 10.1146/annurev.ecolsys.34.011802.132419
Favaro B, Claar DC, Fox CH, Freshwater C, Holden JJ, and Roberts A. 2014. Trends in extinction risk
for imperiled species in Canada. PLoS ONE, 9: e113118. PMID: 25401772 DOI: 10.1371/journal.
pone.0113118
Fernandes L, Day JON, Lewis A, Slegers S, Kerrigan B, Breen DAN, et al. 2005. Establishing represen-
tative no-take areas in the Great Barrier Reef: large-scale implementation of theory on marine pro-
tected areas. Conservation Biology, 19(6): 1733–1744. DOI: 10.1111/j.1523-1739.2005.00302.x
Ferraz G, Russell GJ, Stouffer PC, Bierregaard RO, Pimm SL, and Lovejoy TE. 2003. Rates of species
loss from Amazonian forest fragments. Proceedings of the National Academy of Sciences of the
USA, 100: 14069–14073. DOI: 10.1073/pnas.2336195100
Foden WB, Butchart SH, Stuart SN, Vié J-C, Akçakaya HR, Angulo A, et al. 2013. Identifying the
world’s most climate change vulnerable species: a systematic trait-based assessment of all birds,
amphibians and corals. PLoS ONE, 8: e65427. PMID: 23950785 DOI: 10.1371/journal.pone.0065427
Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR, et al. 2005. Global consequences of
land use. Science, 309: 570–574. PMID: 16040698 DOI: 10.1126/science.1111772
Foster D, Swanson F, Aber J, Burke I, Brokaw N, Tilman D, et al. 2003. The importance of land-use
legacies to ecology and conservation. BioScience, 53: 77–88. DOI: 10.1641/0006-3568(2003)053
[0077:TIOLUL]2.0.CO;2
Foster E, Love J, Rader R, Reid N, and Drielsma MJ. 2017. Integrating a generic focal species, metapo-
pulation capacity, and connectivity to identify opportunities to link fragmented habitat. Landscape
Ecology, 32: 1837–1847. DOI: 10.1007/s10980-017-0547-2
Fraser ED, Dougill AJ, Mabee WE, Reed M, and McAlpine P. 2006. Bottom up and top down: analysis
of participatory processes for sustainability indicator identification as a pathway to community
empowerment and sustainable environmental management. Journal of Environmental
Management, 78: 114–127. PMID: 16095806 DOI: 10.1016/j.jenvman.2005.04.009
Game ET, Kareiva P, and Possingham HP. 2013. Six common mistakes in conservation priority set-
ting. Conservation Biology, 27: 480–485. PMID: 23565990 DOI: 10.1111/cobi.12051
Geldmann J, Coad L, Barnes M, Craigie ID, Hockings M, Knights K, et al. 2015. Changes in protected
area management effectiveness over time: a global analysis. Biological Conservation, 191: 692–699.
DOI: 10.1016/j.biocon.2015.08.029
Gibson SY, Van der Marel RC, and Starzomski BM. 2009. Climate change and conservation of
leading-edge peripheral populations. Conservation Biology, 23: 1369–1373. PMID: 20078636
DOI: 10.1111/j.1523-1739.2009.01375.x
Gibson L, Lynam AJ, Bradshaw CJA, He F, Bickford DP, Woodruff DS, et al. 2013. Near-complete
extinction of native small mammal fauna 25 years after forest fragmentation. Science, 341(6153):
1508–1510. DOI: 10.1126/science.1240495
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 554
facetsjournal.com
Gill AM, Stephens SL, and Cary GJ. 2013. The worldwide “wildfire”problem. Ecological Applications,
23: 438–454. PMID: 23634593 DOI: 10.1890/10-2213.1
Gjertsen H, and Barrett CB. 2004. Context-dependent biodiversity conservation management
regimes: theory and simulation. Land Economics, 80: 321–339. DOI: 10.2307/3654724
Global Forest Watch Canada. 2014. Canada Access 2010 [online]: Available from data.
globalforestwatch.org/.
Global Forest Watch Canada. 2016. Canada’s Intact Forest Landscapes 2013 Dataset [online]:
Available from data.globalforestwatch.org/.
Gonzalez-Suarez M, and Revilla E. 2014. Generalized drivers in the mammalian endangerment proc-
ess. PLoS ONE, 9: e90292. PMID: 24587315 DOI: 10.1371/journal.pone.0090292
Government of Canada. 2017. Press release: Federal and Provincial Governments Create National
Advisory Panel on Canada’s biodiversity conservation initiative [online]: Available from canada.ca/en/
parks-canada/news/2017/06/federal_and_provincialgovernmentscreatenationaladvisorypanelonca.html.
Grantham TE, Fesenmyer KA, Peek R, Holmes E, Qui˜nones RM, Bell A, et al. 2017. Missing the boat
on freshwater fish conservation in California. Conservation Letters, 10: 77–85. DOI: 10.1111/
conl.12249
Groves CR, Jensen DB, Valutis LL, Redford KH, Shaffer ML, Scott JM, et al. 2002. Planning for biodi-
versity conservation: putting conservation science into practice: a seven-step framework for develop-
ing regional plans to conserve biological diversity, based upon principles of conservation biology and
ecology, is being used extensively by the nature conservancy to identify priority areas for conserva-
tion. BioScience, 52: 499–512. DOI: 10.1641/0006-3568(2002)052[0499:PFBCPC]2.0.CO;2
Gurd DB, Nudds TD, and Rivard DH. 2001. Conservation of mammals in eastern North American
wildlife reserves: how small is too small? Conservation Biology, 15: 1355–1363. DOI: 10.1111/
j.1523-1739.2001.00188.x
Haddad NM, Brudvig LA, Clobert J, Davies KF, Gonzalez A, Holt RD, et al. 2015. Habitat fragmenta-
tion and its lasting impact on Earth’s ecosystems. Science Advances, 1: e1500052. PMID: 26601154
DOI: 10.1126/sciadv.1500052
Hannah L, Midgley G, Andelman S, Araújo M, Hughes G, Martinez-Meyer E, et al. 2007. Protected
area needs in a changing climate. Frontiers in Ecology and the Environment, 5: 131–138.
DOI: 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
Hauer FR, Locke H, Dreitz VJ, Hebblewhite M, Lowe WH, Muhlfeld CC, et al. 2016. Gravel-bed river
floodplains are the ecological nexus of glaciated mountain landscapes. Science Advances, 2: e1600026.
PMID: 27386570 DOI: 10.1126/sciadv.1600026
Hebblewhite M. 2017. Billion dollar boreal woodland caribou and the biodiversity impacts of the
global oil and gas industry. Biological Conservation, 206: 102–111. DOI: 10.1016/j.
biocon.2016.12.014
Hilty JA, and Merenlender AM. 2004. Use of riparian corridors and vineyards by mammalian preda-
tors in northern California. Conservation Biology, 18: 126–135. DOI: 10.1111/j.1523-1739.
2004.00225.x
Coristine et al.
FACETS | 2018 | 3: 531–562 | DOI: 10.1139/facets-2017-0102 555
facetsjournal.com