Amicus Curiae Brief — Weyerhaeuser Company, Petitioner v. United States Fish and Wildlife Service, et al.
Supreme Court briefJul 5, 2018
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No. 17-71
================================================================
In The
Supreme Court of the United States
-----------------------------------------------------------------WEYERHAEUSER COMPANY,
Petitioner,
v.
UNITED STATES FISH AND
WILDLIFE SERVICE, et al.,
Respondents.
-----------------------------------------------------------------On Writ of Certiorari to the
United States Court of Appeals
for the Fifth Circuit
-----------------------------------------------------------------AMICUS CURIAE BRIEF OF
ECONOMISTS AND LAW PROFESSORS
IN SUPPORT OF RESPONDENTS
-----------------------------------------------------------------AMY SINDEN
TEMPLE UNIVERSITY
BEASLEY SCHOOL OF LAW
1719 N. Broad St.
Philadelphia, PA 19122
(215) 204-4969
asinden@temple.edu
DOUGLAS R. WILLIAMS
SAINT LOUIS UNIVERSITY
SCHOOL OF LAW
100 N. Tucker Blvd.
St. Louis, MO 63101
(314) 977-2786
williaj2@slu.edu
AMY J. WILDERMUTH
Counsel of Record
UNIVERSITY OF PITTSBURGH
SCHOOL OF LAW
3900 Forbes Ave.
Pittsburgh, PA 15620
(412) 648-1401
amy.wildermuth@pitt.edu
Counsel for Amici Curiae
Economists and Law Professors
================================================================
COCKLE LEGAL BRIEFS (800) 225-6964
WWW.COCKLELEGALBRIEFS.COM
i
QUESTIONS PRESENTED
1.
Whether the Endangered Species Act prohibits
designation of private land as unoccupied critical
habitat that is neither habitat nor essential to species conservation.
2.
Whether an agency decision not to exclude an area
from critical habitat because of economic impact of
designation is subject to judicial review.
ii
TABLE OF CONTENTS
Page
QUESTIONS PRESENTED ..................................
i
TABLE OF CONTENTS ........................................
ii
TABLE OF AUTHORITIES ...................................
v
INTEREST OF AMICI CURIAE............................
1
STATEMENT OF THE CASE ................................
1
SUMMARY OF ARGUMENT ................................
4
ARGUMENT ...........................................................
6
I.
Congress Intended the Section 4(b)(2) Economic Analysis to Be a Broad, Flexible Weighing of Often Unquantifiable Values .............
6
a. Congress Did Not Require a Formal,
Quantitative Analysis of Costs and Benefits Because It Viewed the Value of Endangered Species as “Incalculable”.......
6
b. Congress Did Not Make the Economic
Analysis Decisive in the Decision Whether
to Exclude .............................................. 10
II. Congress’s Vision of Section 4(b)(2) Is Consistent With the Broader Application of CostBenefit Analysis and With Well-Accepted
Fundamentals of Economic Theory ............. 13
a. Executive Order 12,866 and Accompanying Guidance Documents Emphasize
the Importance of Qualitative Descriptions of Unquantifiable Costs and Benefits in Cost-Benefit Analysis................ 13
iii
TABLE OF CONTENTS – Continued
Page
b. Well-Accepted Fundamentals of Economic
Theory Also Emphasize the Importance
of Taking into Account Qualitative Descriptions of Unquantifiable Variables
in Cost-Benefit Analysis ........................ 16
III.
The FWS’s Economic Analysis in This Rulemaking Complied With the Requirements
of the ESA .................................................... 21
a. FWS’s Economic Analysis for the Gopher Frog Designation Was Unable to
Quantify the Costs, Reporting Instead
Three Possible “Scenarios” of Unknown
Probability, With Costs Ranging From
$0 to $34 million .................................... 22
i. Designation Involves a Crystal Ball
Inquiry That Is Inherently Fraught
With Uncertainty ............................. 22
ii. The Economic Analysis for the Gopher Frog Designation, Which Found
Costs Unquantifiable, Illustrates These
Difficulties ........................................ 25
b. FWS’s Economic Analysis for the Gopher Frog Estimated Benefits in Entirely Qualitative Terms ........................ 32
i. The Enormous Challenges in Estimating the Benefits of Critical Habitat Designation Mean the Wildlife
Agencies Typically Do Not Quantify
These Estimates ............................... 32
iv
TABLE OF CONTENTS – Continued
Page
ii. The Economic Analysis for the Gopher Frog Designation, Which Found
Benefits Unquantifiable, Illustrates
These Difficulties ............................. 33
c.
The Cost-Benefit Analysis Was Inconclusive as to Whether Benefits Will Ultimately Outweigh Costs or Vice Versa .... 36
CONCLUSION .......................................................
39
APPENDIX
AMICI CURIAE ................................................... 1a
v
TABLE OF AUTHORITIES
Page
CASES
Bennett v. Spear, 520 U.S. 154 (1997).........................10
Indus. Union Dep’t, AFL-CIO v. Am. Petrol. Inst.,
448 U.S. 607 (1980) .................................................10
Markle Interests, L.L.C. v. U.S. Fish & Wildlife
Serv., 827 F.3d 452 (5th Cir. 2016) ..........................36
Solid Waste Agency of N. Cook Cty. v. U.S. Army
Corps of Eng’rs, 531 U.S. 159 (2001).......................31
Taylor v. Freeland & Kronz, 503 U.S. 638 (1992) .......36
Tenn. Valley Auth. v. Hill, 437 U.S. 153 (1978)......... 6, 7
United Steelworkers of Am. v. Marshall, 647 F.2d
1189 (D.C. Cir. 1980) ...............................................10
Youakim v. Miller, 425 U.S. 231 (1976) ......................37
STATUTES
16 U.S.C. § 1533(b)(2) ................................. 2, 5, 6, 7, 11
16 U.S.C. § 1533(b)(6)(C) ..............................................9
16 U.S.C. § 1533(b)(6)(C)(ii) .................................... 9, 10
16 U.S.C. § 1536(a)(2) ............................................. 2, 22
16 U.S.C. § 1536(b)(3) .................................................30
33 U.S.C. § 1344(a) ......................................................27
33 U.S.C. § 1344(f )(1)-(2) ............................................27
vi
TABLE OF AUTHORITIES – Continued
Page
REGULATIONS
50 C.F.R. § 402.02 .......................................................30
76 Fed. Reg. 59,774 (Sept. 27, 2011).............................2
77 Fed. Reg. 35,118 (June 12, 2012) ................... passim
Exec. Order No. 12,866, 3 C.F.R. 638 (1994), reprinted as amended in 5 U.S.C. § 601 (2016)..... 13, 14
Exec. Order No. 13,563, 3 C.F.R. 215 (2012), reprinted as amended in 5 U.S.C. § 601 (2016)............14
LEGISLATIVE HISTORY
124 CONG. REC. 21,334 (1978), reprinted in CONG.
RESEARCH SERV., LEGISLATIVE HISTORY OF THE
ENDANGERED SPECIES ACT OF 1973 (1982) ..............12
Endangered Species Conservation Act of 1972:
Hearings on S. 249, S. 3199, and S. 3818 Before the Subcomm. on the Env’t of the S.
Comm. on Commerce, 92d Cong. (1972) ...................8
H. COMM. ON RULES, PROVIDING FOR THE CONSIDERATION OF H.R. 14104, H.R. REP. NO. 95-1757
(1978), reprinted in CONG. RESEARCH SERV.,
LEGISLATIVE HISTORY OF THE ENDANGERED SPECIES ACT OF 1973 (1982) .................................. 7, 8, 12
H.R. REP. NO. 93-412 (1973).........................................7
H.R. REP. NO. 95-1625 (1978).....................................12
H.R. REP. NO. 97-567, pt. 1 (1982) .............................23
vii
TABLE OF AUTHORITIES – Continued
Page
S. COMM. ON COMMERCE, ENDANGERED SPECIES
ACT OF 1973, H.R. REP. NO. 93-307, reprinted
in CONG. RESEARCH SERV., LEGISLATIVE HISTORY OF THE ENDANGERED SPECIES ACT OF 1973
(1982) .........................................................................8
OTHER AUTHORITIES
Amy Sinden, Cost-Benefit Analysis, Ben Franklin, and the Supreme Court, 4 U.C. IRVINE L.
REV. 1175 (2014)......................................................20
Amy Sinden, The Economics of Endangered Species: Why Less is More in the Economic Analysis of Critical Habitat Designations, 28 HARV.
ENVTL. L. REV. 129 (2004) ............................... passim
ANTHONY E. BOARDMAN ET AL., COST-BENEFIT
ANALYSIS: CONCEPTS AND PRACTICE (4th ed.
2011) ................................................................ passim
Cass R. Sunstein, Incommensurability and Valuation in Law, 92 MICH. L. REV. 779 (1994) ...........17
CASS R. SUNSTEIN, THE COST-BENEFIT STATE: THE
FUTURE OF REGULATORY PROTECTION (2002) ...........20
Cass R. Sunstein, The Limits of Quantification,
102 CAL. L. REV. 1369 (2014) ..................................15
Daniel H. Cole, Law, Politics, and Cost-Benefit
Analysis, 64 ALA. L. REV. 55 (2012) ........................17
Dave Owen, Critical Habitat and the Challenge
of Regulating Small Harms, 64 FLA. L. REV.
141 (2012) .......................................................... 23, 24
viii
TABLE OF AUTHORITIES – Continued
Page
David S. Brookshire et al., Valuing Public Goods:
A Comparison of Survey and Hedonic Approaches, 72 AM. ECON. REV. 165 (1982).................17
DAVID W. PEARCE & ANIL MARKANDYA, ENVIRONMENTAL POLICY BENEFITS: MONETARY VALUATION (1989) ...............................................................17
DAVID W. PEARCE & R. KERRY TURNER, ECONOMICS OF NATURAL RESOURCES AND THE ENVIRONMENT (1990) .............................................................19
DONALD BARRY ET AL., FOR CONSERVING LISTED SPECIES, TALK IS CHEAPER THAN WE THINK (1992),
http://www.nativefishlab.net/library/textpdf/
15635.pdf .................................................................23
Douglas R. Williams, Valuing Natural Environments: Compensation, Market Norms, and the
Idea of Public Goods, 27 CONN. L. REV. 365
(1995) .......................................................................19
E. J. MISHAN & EUSTON QUAH, COST-BENEFIT
ANALYSIS (5th ed. 2007) ...........................................16
EDWARD M. GRAMLICH, A GUIDE TO BENEFIT-COST
ANALYSIS (2d ed. 1997)....................................... 16, 19
Elena G. Irwin, The Effects of Open Space on
Residential Property Values, 78 LAND ECON.
465 (2002) ................................................................18
ELIZABETH ANDERSON, VALUE IN ETHICS AND ECONOMICS (1993) ..........................................................17
ix
TABLE OF AUTHORITIES – Continued
Page
Erik Nelson et al., Identifying the Impacts of Critical Habitat Designation on Land Cover Change,
47 RESOURCE & ENERGY ECON. 89 (2016)...................24
INDUSTRIAL ECONOMICS, INC., ECONOMIC ANALYSIS
OF CRITICAL HABITAT DESIGNATION FOR THE DUSKY
GOPHER FROG (2012), https://www.regulations.gov/
contentStreamer?doc ...................................... passim
J.B. Loomis & Douglas S. White, Economic Benefits of Rare and Endangered Species: Summary and Meta-Analysis, 18 ECOL. ECON. 197
(1996) .......................................................................33
Jacob W. Malcom & Ya-Wei Li, Data Contradict
Common Perceptions About a Controversial
Provision of the Endangered Species Act, 112
PNAS 15844 (2015) ........................................... 23, 24
John M. Quigley et al., The Urban Impacts of the
Endangered Species Act: A General Equilibrium Analysis, 61 J. URBAN ECON. 299 (2007) ........35
John V. Krutilla, Conservation Reconsidered, 57
AM. ECON. REV. 777 (1967) ......................................19
Kenneth Arrow et al., Is There a Role for BenefitCost Analysis in Environmental, Health, and
Safety Regulation?, 272 SCIENCE 221 (1996) .... 16, 20
Leonard Shabman & Kurt Stephenson, Environmental Valuation and Its Economic Critics, 126 J. WATER RESOURCES PLAN. & MGMT.
382 (2000) ................................................................19
x
TABLE OF AUTHORITIES – Continued
Page
OFFICE OF INFO. & REGULATORY AFFAIRS, REGULATORY
IMPACT ANALYSIS: A PRIMER, https://obamawhite
house.archives.gov/sites/default/files/omb/inforeg/
regpol/circular-a-4_regulatory-impact-analysisa-primer.pdf (last visited June 28, 2018) ...............14
OFFICE OF MGMT. & BUDGET, CIRCULAR A-4, REGULATORY ANALYSIS (2003) ................................. passim
Philip E. Graves, Benefit-Cost Analysis of Environmental Projects: A Plethora of Biases Understating Net Benefits, 3 J. BENEFIT-COST ANALYSIS 1
(2012) .......................................................................17
Thomas H. Stevens et al., Measuring the Existence Value of Wildlife: What Do CVM Estimates
Really Show?, 67 LAND ECON. 390 (1991) ......... 18, 19
U.S. GENERAL ACCOUNTING OFFICE, GAO-92-131BR,
ENDANGERED SPECIES ACT: TYPES AND NUMBER
OF IMPLEMENTING ACTIONS (1992) ...........................23
1
INTEREST OF AMICI CURIAE1
Amici Curiae are economists and law professors
with expertise in economic theory, cost-benefit analysis, the valuation of environmental goods, and environmental law and regulation. They teach and have
published extensively on these topics in leading journals and with leading academic presses.
Amici have a particular interest in this case in the
proper administration by the U.S. Fish and Wildlife
Service (FWS) of its duties and authorities under the
Endangered Species Act. They agree that FWS’s critical habitat designation accords with both the requirements of law and fundamental principles of economics
and therefore urge this Court to affirm the judgment
below.
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STATEMENT OF THE CASE
In 2011, based on a unanimous assessment by
FWS’s six peer reviewers that its initial critical habitat
designation was “inadequate for the conservation of
the dusky gopher frog,” 77 Fed. Reg. 35,118, 35,123–24
(June 12, 2012), the FWS issued a revised proposed
1
The parties’ consent to the filing of this brief was filed with
the Clerk of this Court in accordance with Supreme Court Rule
37. In addition, in accordance with Supreme Court Rule 37.6,
Amici Curiae certify that no counsel for any party in this case authored this brief in whole or in part, and furthermore, that no person or entity, other than Amici Curiae, has made a monetary
contribution specifically for the preparation or submission of this
brief.
2
designation. 76 Fed. Reg. 59,774, 59,783 (Sept. 27,
2011). This revised designation included Unit 1, with
its rare ephemeral ponds, to address the peer reviewers’ concern that without potential habitat outside
Mississippi, the frog was “at high risk of extirpation”
from “local catastrophic events,” “such as disease or
drought.” 77 Fed. Reg. at 35,121, 35,125.
FWS considered the “economic impact” of this proposed critical habitat designation as required under ESA
Section 4(b)(2). 16 U.S.C. § 1533(b)(2). It elected to hire
an economics consulting firm, “Industrial Economics,”
to perform an economic analysis of the designation, including the inclusion of Unit 1. See INDUSTRIAL ECONOMICS, INC., ECONOMIC ANALYSIS OF CRITICAL HABITAT
DESIGNATION FOR THE DUSKY GOPHER FROG (2012)
[hereinafter EA], https://www.regulations.gov/contentStreamer?documentId=FWS-R4-ES-2010-0024-0157&
contentType=pdf . That analysis concluded that uncertainties precluded any quantification of benefits, making it impossible to know whether the designation
would impose any cost at all on the landowners. The
sources of this uncertainty include whether any potential development plans would be pursued, and if so,
whether those plans would be subject to federal regulatory oversight requiring consultation procedures and
development restrictions under Section 7 of the ESA.
See 16 U.S.C. § 1536(a)(2).
With this uncertainty understood, the analysis
identified three possible scenarios—with costs ranging
from $0 to $34 million—that could occur if the landowners follow through with potential plans to pursue
3
residential development in Unit 1 in in the future. If
they do not pursue residential development, but instead continue to use the land for timber production,
as it has been for the last 100 years, or if proposed
development proceeds without a federal nexus, the
analysis estimated costs at or near $0. The analysis
was unable to estimate the relative probabilities of the
three scenarios.
On the benefits side, the analysis followed FWS’s
ordinary practice of concluding that benefits “are best
expressed in biological terms.” 77 Fed. Reg. at 35,141;
EA at 2–18. Accordingly, the analysis described the
various expected benefits of the designation wholly
qualitatively, including increased potential for future
conservation and recovery of the gopher frog; recreational and aesthetic values; existence values; and values to future generations. EA at 2–18, 5–1 to 5–2. It
also discussed values stemming from the preservation
and enhancement of ecosystem services, biodiversity,
and increases in property values on nearby parcels due
to open space preservation. Id. at 2–18, 5–2 to 5–3.
After soliciting additional rounds of public comment on its revised designation and accompanying
Economic Analysis, the FWS issued its final critical
habitat designation for the dusky gopher frog—including Unit 1—in 2012. 77 Fed. Reg. at 35,118–19. Because the Economic Analysis was inconclusive as to
whether the benefits of Unit 1’s inclusion outweighed
the costs, or vice versa, the FWS did not exercise
its discretion to exclude Unit 1 or any other areas
4
from the designation. Id. at 35,141. This challenge followed.
------------------------------------------------------------------
SUMMARY OF ARGUMENT
The FWS’s Economic Analysis of the critical habitat designation for the dusky gopher frog was reasonable and should be upheld. It conforms with statutory
requirements, with well-established standards for costbenefit analysis across the federal government, and
with widely-recognized principles of textbook economics.
This brief responds to two critical points regarding
the reasonableness of the FWS’s conclusion. First, petitioner mischaracterizes FWS’s Economic Analysis
as finding $34 million in costs and no benefits, and
asserts on that basis that FWS’s finding of no disproportionate costs was an abuse of discretion. See, e.g.,
Markle Merits Br. 18. Second, petitioner wrongly maintains that FWS’s cost-benefit analysis was methodologically flawed. Both contentions are without merit.
The FWS’s Economic Analysis of its critical habitat designation illustrates the inherent difficulties in
quantifying the costs and benefits of critical habitat
exclusion decisions and the wisdom of Congress’s decision not to require formal, quantitative cost-benefit
analysis in this context. FWS was unable to precisely
quantify the costs of including petitioner’s land in the
designation, reporting instead three possible “scenarios,” with costs ranging from $0 to $34 million. FWS
5
also could not quantify the relative probabilities of the
scenarios but the practical circumstances of the case
indicate that the low cost scenarios are more likely.
As a result of these uncertainties, the analysis
followed the agency’s usual practice of estimating benefits in entirely qualitative terms. Thus, FWS’s Economic Analysis did not show a disproportion between
costs and benefits; rather, it was inconclusive as to
whether benefits outweigh costs or vice versa.
FWS’s Economic Analysis was consistent with
congressional intent as expressed in the plain language of Section 4(b)(2), 16 U.S.C. § 1533(b)(2), and the
legislative history of the Endangered Species Act
(ESA). Because Congress viewed the value of endangered species as “incalculable,” it intended economic
analysis under that section to be a broad, flexible
weighing of often unquantifiable values. It also did not
make the economic analysis decisive in the decision
whether to exclude; rather it is one of a broad range of
factors Section 4(b)(2) directs the wildlife agencies to
weigh.
FWS’s Economic Analysis was also consistent with
the broader application of cost-benefit analysis throughout federal government and with well-accepted fundamentals of economic theory. The executive orders and
accompanying guidance documents governing federal
agencies’ use of cost-benefit analysis emphasize the
importance of qualitative descriptions of unquantifiable costs and benefits, as do classic texts in the economics literature.
------------------------------------------------------------------
6
ARGUMENT
I.
Congress Intended the Section 4(b)(2) Economic Analysis to Be a Broad, Flexible Weighing of Often Unquantifiable Values.
The language and legislative history of ESA Section 4(b)(2) makes clear that Congress sought above all
else to give flexibility and discretion to the FWS and
the National Marine Fisheries Service (collectively, the
wildlife agencies) in considering economic impacts and
making exclusion decisions regarding critical habitat.
Congress viewed the value of endangered species as
“incalculable.” Tenn. Valley Auth. v. Hill, 437 U.S. 153,
187–88 (1978). It therefore directed the wildlife agencies to conduct a rough, informal, apples-to-oranges
comparison of costs and benefits. It also made that
analysis one of a broad range of factors the wildlife
agencies are to consider.
a. Congress Did Not Require a Formal,
Quantitative Analysis of Costs and Benefits Because It Viewed the Value of Endangered Species as “Incalculable.”
The parties to this litigation all agree that Section
4(b)(2) vests the wildlife agencies with enormous discretion and flexibility in making critical habitat exclusion decisions. The statute requires the agencies to
“consider” economic impact, 16 U.S.C. § 1533(b)(2)
(“[t]he Secretary shall designate critical habitat . . . after taking into consideration the economic impact”),
and suggests that such consideration should take the
7
form of a comparison of costs to benefits. Id. (referencing the Secretary’s “determin[ation] that the benefits
of [excluding any area from critical habitat] outweigh
the benefits of specifying such area”). When it comes to
making a substantive decision on the basis of that economic analysis, the statute makes a conspicuous shift
from “shall” to “may.” Id. (“[t]he Secretary may exclude”).
This shift in the plain language of the statute from
mandate to discretion makes sense when one considers
the kind of informal, intuitive weighing process Congress envisioned in adding this provision to the statute
in 1978. Because Congress viewed the value of endangered species as unquantifiable, it did not require the
agencies to perform formal cost-benefit analyses, in
which each side of the balance is assigned a monetized
value and compared with mathematical precision. Rather, Congress understood that these analyses would
inevitably be inexact, apples-to-oranges comparisons
necessarily requiring the grant of substantial discretion to the agency. See Amy Sinden, The Economics of
Endangered Species: Why Less is More in the Economic
Analysis of Critical Habitat Designations, 28 HARV.
ENVTL. L. REV. 129, 194–96 (2004) [hereinafter Sinden,
Economics of Endangered Species].
When it first passed the statute in 1973, Congress
saw the value of endangered species as literally “incalculable.” Tenn. Valley Auth., 437 U.S. at 177–78 (quoting H.R. REP. NO. 93-412, at 4–5 (1973)). And when it
amended the statute five years later, Congress’s views
in that regard had not changed. H. COMM. ON RULES,
8
PROVIDING FOR THE CONSIDERATION OF H.R. 14104, H.R.
REP. NO. 95-1757 (1978), reprinted in CONG. RESEARCH
SERV., LEGISLATIVE HISTORY OF THE ENDANGERED SPECIES ACT OF 1973, at 820 (1982) [hereinafter H.R. REP.
NO. 95-1757, LEG. HISTORY] (statement of Rep. Murphy) (“[M]any species have a tremendous esthetic
value which is difficult if not impossible to quantify.”).
Congress’s skepticism about the ability to quantify
the benefits of protecting endangered species arose
from two distinct concerns. The first was that we
simply lack adequate scientific knowledge to fully understand a species’ value. Accordingly, “[e]ach species
is a perishable resource of unpredictable value,” Endangered Species Conservation Act of 1972: Hearings
on S. 249, S. 3199, and S. 3818 Before the Subcomm. on
the Env’t of the S. Comm. on Commerce, 92d Cong. 65
(1972) (statement of Sen. Mark Hatfield), and “we may
never fully comprehend what we have lost.” H.R. REP.
NO. 95-1757, LEG. HISTORY, at 820 (statement of Rep.
Murphy).
The second concern is that certain aspects of the
value of endangered species—aesthetic and spiritual
values, for example—may simply be incommensurable
with dollars and therefore “impossible to quantify.”
H.R. REP. NO. 95-1757, LEG. HISTORY, at 820 (statement of Rep. Murphy); see also S. COMM. ON COMMERCE,
ENDANGERED SPECIES ACT OF 1973, H.R. REP. NO. 93307, reprinted in CONG. RESEARCH SERV., LEGISLATIVE
HISTORY OF THE ENDANGERED SPECIES ACT OF 1973, at
374 (1982) (statement of Sen. Williams) (“Most animals are worth very little in terms of dollars and cents.
9
However, their esthetic value is great indeed. The
pleasure of simply observing them . . . is unmeasurable.”). That skepticism has been borne out in the subsequent practice of the wildlife agencies, which, in the
decades since, have rarely made any attempts to quantify the benefits of critical habitat designations in their
economic analyses. See Sinden, Economics of Endangered Species, at 180–83.
Congress’s efforts to streamline the designation
process in 1978 further demonstrate its intent that the
agencies’ Section 4(b)(2) economic analyses be quick
and informal. In addition to giving the wildlife agencies flexibility to consider economic impacts, Congress
was also concerned about the extended delays that had
plagued critical habitat designation in the early years
of the ESA’s implementation. Accordingly, a number of
the 1978 amendments aimed at speeding up the designation process by, for the first time, setting deadlines
for the designation of critical habitat. 16 U.S.C.
§ 1533(b)(6)(C). This concern with streamlining provides further support for the idea that Congress had in
mind a rough-cut economic analysis that would simply
describe benefits in qualitative terms, rather than
going to elaborate lengths to quantify and monetize.
See Sinden, Economics of Endangered Species, at 194
(“Congress did not anticipate that the economic analysis would be an elaborate or time-consuming process.”).
Indeed, Congress went so far as to specify that,
once the final deadline arrives, the agency “must publish a final regulation, based on such data as may be
available at that time.” 16 U.S.C. § 1533(b)(6)(C)(ii)
10
(emphasis added). This is precisely the kind of language that courts have frequently cited as evidencing
Congress’s conscious decision to choose prompt agency
action over regulatory perfection, particularly when
scientific uncertainty precludes quantification of all
relevant variables. See, e.g., Indus. Union Dep’t, AFLCIO v. Am. Petrol. Inst., 448 U.S. 607, 656 (1980) (plurality opinion) (under the “best available evidence”
standard, an agency “is not required to support its
finding that a significant risk exists with anything approaching scientific certainty”); United Steelworkers of
Am. v. Marshall, 647 F.2d 1189, 1266 (D.C. Cir. 1980)
(construing “best available evidence” as requiring
agency to set standards promptly rather than
“await[ing] the Godot of scientific certainty”).2
b. Congress Did Not Make the Economic
Analysis Decisive in the Decision Whether
to Exclude.
Three aspects of the plain language of Section
4(b)(2) make clear that the economic analysis is not
the sole driver when deciding whether to exclude an
area from critical habitat. First, Section 4(b)(2) lists
“economic impact” as simply one in a list of factors the
2
Bennett v. Spear’s reading of the phrase “best scientific and
commercial data available” in Section 7 of the ESA is not to the
contrary. 520 U.S. 154, 176-77 (1997). The Bennett Court noted that
this phrase is “intended, at least in part, to prevent” “needless economic dislocation” caused by erroneous jeopardy determinations.
Id. This is consistent with reading the phrase “based on such data
as may be available at that time,” 16 U.S.C. § 1533(b)(6)(C)(ii), as
demonstrating a preference for promptness over perfection.
11
agency is to consider, with the list also including “the
impact on national security” and the broad catch-all,
“any other relevant impact.” This catch-all phrase potentially encompasses a whole range of impacts, including positive impacts of designation for the species
as well as other beneficial environmental, historical, or
cultural impacts. Most importantly, this phrase makes
clear Congress’s intent that the agency’s decision-making process on critical habitat exclusion encompass
values other than quantifiable, economic ones. See
Sinden, Economics of Endangered Species, at 193.
Second, the statute’s use of the term “may” rather
than “shall” in connection with the agency’s decision to
exclude any particular area requires an inference that
there are at least some circumstances in which it
would be reasonable for the agency to decline to exclude even where “the benefits of exclusion outweigh
the benefits of [inclusion].” Id. at 149, 196 n. 295. This
means that there must be some other factors, outside
the economic cost-benefit analysis, that can, at least in
some instances, drive the agency’s ultimate decision
whether to exclude.
Third, the same sentence goes on to explicitly
name at least one such external, non-economic consideration that might sometimes trump an economic
analysis: the survival of the species. Specifically, the
last clause of Section 4(b)(2) makes clear that if the
FWS determines a particular exclusion “will result in
the extinction of the species concerned,” the agency cannot exclude, even if the cost-benefit analysis otherwise
warrants it. 16 U.S.C. § 1533(b)(2). A less definitive
12
concern—i.e., that an exclusion might result in extinction—might be precisely the sort of factor Congress
intended FWS to weigh in making a discretionary decision not to exclude.
The legislative history confirms that Congress did
not intend economic impact to be the determinative
factor. The House Report made this explicit: “The Secretary is not required to give economics or any other
‘relevant impact’ predominant consideration in his
specification of critical habitat. . . . The consideration
and weight given to any particular impact is completely within the Secretary’s discretion.” H.R. REP. NO.
95-1625, at 741 (1978) (emphasis added). The word
“flexibility” shows up again and again in the legislative
history accompanying Section 4(b)(2). See, e.g., id. (noting Section 4(b)(2) provides “increased flexibility on
the part of the Secretary in determining critical habitat”); H.R. REP. NO. 95-1757, LEG. HISTORY, at 819
(statement of Rep. Murphy) (“This bill introduces some
needed flexibility into the [ESA]”); 124 CONG. REC.
21,334 (1978), reprinted in CONG. RESEARCH SERV.,
LEGISLATIVE HISTORY OF THE ENDANGERED SPECIES ACT
OF 1973, at 1016 (1982) (statement of Sen. McClure)
(noting “need to have some flexibility on the designation of the critical habitat”).
13
II.
Congress’s Vision of Section 4(b)(2) Is Consistent With the Broader Application of CostBenefit Analysis and With Well-Accepted
Fundamentals of Economic Theory.
Congress’s vision of economic analysis under Section 4(b)(2) is entirely consistent with the broader
application of cost-benefit analysis throughout the federal government. The executive orders that generally
require federal agencies to conduct cost-benefit analysis in connection with major federal regulations consistently emphasize the importance of weighing
unquantifiable impacts. Well-accepted fundamentals
of economic theory likewise emphasize the importance
of unquantifiable variables.
a. Executive Order 12,866 and Accompanying Guidance Documents Emphasize the
Importance of Qualitative Descriptions
of Unquantifiable Costs and Benefits in
Cost-Benefit Analysis.
The use of cost-benefit analysis is widespread
throughout the agencies of the federal government. Beginning with a series of executive orders dating back
to the Reagan administration, federal agencies are required to prepare and submit to the Office of Management and Budget cost-benefit analyses in connection
with all “significant” rulemakings (primarily those
costing over $100 million).3 Exec. Order No. 12,866
3
Statutory requirements to conduct cost-benefit analysis,
like Section 4(b)(2), are rare, especially in environmental statutes.
The FWS did not deem its critical habitat designation for the
14
§§ 3(f ), 6(a), 3 C.F.R. 638 (1994), reprinted as amended
in 5 U.S.C. § 601 app. at 96, 97 (2016). Congress’s intent that Section 4(b)(2) economic analyses take into
account unquantifiable impacts is consistent with the
approach taken in these executive orders, which emphasize that (1) both costs and benefits may be impossible to quantify, and (2) the importance of nonetheless
considering such unquantifiable impacts. See Exec. Order No. 12,866 § 1(a) (“Costs and benefits shall be understood to include . . . qualitative measures of costs
and benefits that are difficult to quantify, but nonetheless essential to consider.”); id. at § 1(b)(6) (similar);
Exec. Order No. 13,563, § 1, 3 C.F.R. 215 (2012), reprinted as amended in 5 U.S.C. § 601 app. at 109 (2016)
(similar).
These requirements have been further refined and
clarified in various guidance documents. See OFFICE OF
MGMT. & BUDGET, CIRCULAR A-4, REGULATORY ANALYSIS
9–10 (2003) [hereinafter Circular A-4]; OFFICE OF INFO.
& REGULATORY AFFAIRS, REGULATORY IMPACT ANALYSIS:
A PRIMER, https://obamawhitehouse.archives.gov/sites/
default/files/omb/inforeg/regpol/circular-a-4_regulatoryimpact-analysis-a-primer.pdf (last visited June 28,
2018) [hereinafter Primer]. These documents also stress
the importance of unquantifiable costs and benefits.
For example, the Office of Management and Budget’s
gopher frog a “significant” regulation, and therefore it was not
technically subject to the executive orders. See 77 Fed. Reg. at
35,141-42. Nonetheless, the Economic Analysis for the gopher frog
specifically referenced Executive Order No. 12,866, EA at 2-4, 218, as well as Circular A-4. EA at 2-2, 2-5, 2-18; see also 77 Fed.
Reg. at 35,127, 35,141.
15
(OMB’s) Circular A-4 states, “[i]t will not always be
possible to express in monetary units all of the important benefits and costs.” Circular A-4 at 2. Similarly,
the Office of Information and Regulatory Affairs’ Primer states that “some important benefits and costs . . .
may be difficult or impossible to quantify or monetize
given current data and methods.” Primer at 12. In such
circumstances, “[a]gencies should carry out a careful
evaluation of non-quantifiable and non-monetized
benefits and costs,” id. at 12, “exercise professional
judgment in determining how important the nonquantified benefits or costs may be,” and perform a
break-even analysis if they are determined to be
“important.” Circular A-4 at 2. Break-even analysis
subtracts the incomplete benefits estimate from the
(complete) costs estimate and then asks the analyst to
make an intuitive judgment whether the remaining
unquantifiable benefits are likely large enough to
make up the difference. See Cass R. Sunstein, The Limits of Quantification, 102 CAL. L. REV. 1369 (2014).
Even when some degree of quantification is possible, quantitative estimates of both costs and benefits
can also be subject to profound uncertainty, requiring
agencies to express them in ranges or as a series of scenarios. OMB’s guidance notes that “[i]n some cases, the
level of scientific uncertainty may be so large that you
can only present discrete alternative scenarios without
assessing the relative likelihood of each scenario quantitatively.” Circular A-4 at 39.
16
b. Well-Accepted Fundamentals of Economic
Theory Also Emphasize the Importance
of Taking into Account Qualitative Descriptions of Unquantifiable Variables
in Cost-Benefit Analysis.
The federal government’s broad approach to costbenefit analyses mirrors the academic literature in
economics,4 which routinely recognizes that “not all
impacts can be quantified, let alone be given a monetary value,” and warns that “care should be taken to
assure that quantitative factors do not dominate important qualitative factors in decision-making.” Kenneth Arrow et al., Is There a Role for Benefit-Cost
Analysis in Environmental, Health, and Safety Regulation?, 272 SCIENCE 221, 222 (1996); see also ANTHONY
E. BOARDMAN ET AL., COST-BENEFIT ANALYSIS: CONCEPTS
AND PRACTICE 42 (4th ed. 2011) (noting that “technical
limitations may make it impossible to quantify and
then monetize all relevant impacts as costs and benefits” and urging the use of qualitative analyses in
such instances); E. J. MISHAN & EUSTON QUAH, COSTBENEFIT ANALYSIS 241 (5th ed. 2007) (similar); EDWARD
M. GRAMLICH, A GUIDE TO BENEFIT-COST ANALYSIS 136
(2d ed. 1997) (similar).
Indeed, the preservation (or loss) of an endangered
species is perhaps the prototypical example of an impact that’s difficult or impossible to quantify. See, e.g.,
GRAMLICH, supra at 136 (citing “loss of an endangered
4
See Circular A-4 at 21, 23 (noting that agency use of costbenefit analysis should be “consistent with economic theory”).
17
species” as an impact that “cannot easily be quantified”); Daniel H. Cole, Law, Politics, and Cost-Benefit
Analysis, 64 ALA. L. REV. 55, 60–61 (2012) (similar).
Although several respected thinkers argue that
any attempt to monetize environmental values is
misguided because they are fundamentally incommensurable with money, see generally ELIZABETH ANDERSON, VALUE IN ETHICS AND ECONOMICS (1993); Cass R.
Sunstein, Incommensurability and Valuation in Law,
92 MICH. L. REV. 779, 785–86 (1994), economists have
developed a number of techniques for trying to assign
monetary sums to impacts like these. See generally DAVID W. PEARCE & ANIL MARKANDYA, ENVIRONMENTAL
POLICY BENEFITS: MONETARY VALUATION (1989). “Revealed preference” techniques attempt to infer a dollar
value for nonmarket goods by observing things that
are traded in markets and are thought to reflect (or
“reveal”) the unpriced value. See generally David S.
Brookshire et al., Valuing Public Goods: A Comparison
of Survey and Hedonic Approaches, 72 AM. ECON. REV.
165 (1982); see also BOARDMAN ET AL., supra, at 353–
57; Philip E. Graves, Benefit-Cost Analysis of Environmental Projects: A Plethora of Biases Understating
Net Benefits, 3 J. BENEFIT-COST ANALYSIS 1, 12–19
(2012).
These techniques often take the form of hedonic
valuation methods, which attempt to disaggregate environmental attributes from other goods with which
they are bundled in the market in order to infer the
value people place on them. See BOARDMAN ET AL., supra, at 353–57. For example, economists try to measure
18
how much value people attach to unspoiled open space
by comparing the prices of properties located adjacent
to such areas with those that are not. See, e.g., Elena
G. Irwin, The Effects of Open Space on Residential
Property Values, 78 LAND ECON. 465 (2002). The other
primary revealed preference technique aimed at environmental and natural resource values—the travel
cost method—involves inferring the value of environmental amenities from the costs people incur to travel
to them. See BOARDMAN ET AL., supra, at 358–65.
Alternatively, where values cannot be “revealed”
through actual market transactions, economists turn
to “stated preference” methods. “Contingent valuation”
or “willingness-to-pay” surveys, for example, attempt
to measure people’s willingness to pay for nonmarket
goods by simply asking them. See BOARDMAN ET AL., supra, at 372–05; Thomas H. Stevens et al., Measuring
the Existence Value of Wildlife: What Do CVM Estimates Really Show?, 67 LAND ECON. 390, 392–97
(1991). These are essentially sophisticated public-opinion polls that give respondents information about a
particular natural resource and then ask them how
much they would be willing to pay to preserve the resource or avoid the disease.
Such willingness-to-pay studies are usually designed to capture both what economists call “use values” and “non-use values” or “existence values.” “Use
values” reflect benefits people gain by actually making
use of natural amenities—by, for example, hunting, fishing, hiking, or enjoying a scenic view. See BOARDMAN
ET AL., supra, at 224. “Existence values,” in contrast,
19
reflect benefits people gain by “the very existence of
[natural amenities] that they neither visit, nor ever
anticipate visiting.” Id. at 224 (quoting John V. Krutilla, Conservation Reconsidered, 57 AM. ECON. REV.
777, 784 (1967)).
All of these methods are controversial and produce
highly contestable results. See DAVID W. PEARCE & R.
KERRY TURNER, ECONOMICS OF NATURAL RESOURCES AND
THE ENVIRONMENT 141–58 (1990); Leonard Shabman
& Kurt Stephenson, Environmental Valuation and
Its Economic Critics, 126 J. WATER RESOURCES PLAN. &
MGMT. 382, 382–84 (2000); Douglas R. Williams, Valuing Natural Environments: Compensation, Market
Norms, and the Idea of Public Goods, 27 CONN. L. REV.
365, 401–07 (1995). Samples may be insufficiently
large or insufficiently representative to produce meaningful results. In hedonic surveys, it may be difficult to
control for all variables other than the presence or absence of the non-market good being valued. Many analysts regard willingness-to-pay surveys as unreliable
because (1) the results depend heavily on how information is presented, and (2) respondents’ answers are
untethered to accurate knowledge of the resource at issue or any requirement to actually spend money. See,
e.g., Stevens et al., supra, at 399. Finally, they are typically under-inclusive, measuring only a narrow swath
of the full scope of species and/or ecosystem impacts, so
that qualitative descriptions of benefits must supplement any numbers produced. See GRAMLICH, supra, at
136 (noting that hedonic valuation methods provide
only “a lower-bound estimate”). For all these reasons,
20
the U.S. Environmental Protection Agency (EPA), often
praised around the world as the gold-standard for sophisticated cost-benefit analysis, has shied away from
using contingent valuation studies to generate specific
estimates of regulatory benefits. See Amy Sinden,
Cost-Benefit Analysis, Ben Franklin, and the Supreme
Court, 4 U.C. IRVINE L. REV. 1175, 1203–07 (2014).
Such studies are also expensive and time consuming to conduct. As a result, it is rare for FWS to have a
willingness-to-pay study available for the particular
species at issue in a critical habitat designation. Sinden, Economics of Endangered Species, at 180–83.
Given these limitations, economists and other proponents of the use of cost-benefit analysis in agency
decision making advise that cost-benefit analysis
should not be the sole driver for all decision making,
but rather should be one among a range of inputs. See
Arrow et al., supra, at 122 (“[A]gencies should not be
bound by strict benefit-cost tests.”); BOARDMAN, supra,
at 15 (“[cost-benefit analysis] is only one input to [the]
political decision making process”). Professor Cass
Sunstein, a prominent proponent of the use of cost-benefit analysis in agency decision making, has suggested
that where endangered species are at issue, cost-benefit analysis may not be an appropriate decision tool at
all. CASS R. SUNSTEIN, THE COST-BENEFIT STATE: THE
FUTURE OF REGULATORY PROTECTION 68–69 (2002).
21
III. The FWS’s Economic Analysis in This Rulemaking Complied with the Requirements of
the ESA.
The Economic Analysis in this case emphasized
the large uncertainties involved in attempting to predict the costs and benefits of the critical habitat designation for the gopher frog. It expressed benefits in
purely qualitative terms and took a scenario approach
to cost estimation, describing three potential scenarios
in which costs range from $0 to $34 million. This
approach was entirely consistent with both OMB guidance and good economics. The result was an inconclusive analysis. See 77 Fed. Reg. at 35,141 (“Our
economic analysis did not identify any disproportionate costs that are likely to result from the designation.
Consequently, the Secretary is not exercising his discretion to exclude. . . . ”). This analysis fully complied
with the requirements of the ESA.
22
a. FWS’s Economic Analysis for the Gopher
Frog Designation Was Unable to Quantify the Costs, Reporting Instead Three
Possible “Scenarios” of Unknown Probability, With Costs Ranging From $0 to
$34 million.
i. Designation Involves a Crystal Ball
Inquiry That Is Inherently Fraught
With Uncertainty
Estimating the costs of critical habitat designation, particularly the incremental costs associated with
the inclusion of any particular area, is always fraught
with uncertainty. The crux of the problem is that estimating critical habitat costs “essentially involve[s]
predicting the future.” See Sinden, Economics of Endangered Species, at 200.
These uncertainties are particularly acute where
private land is at issue. The designation of critical habitat does not produce any regulatory restrictions on a
private landowner’s activities. The only duty the statute triggers with respect to critical habitat is the Section 7 duty to avoid “adverse modification,” and that
duty applies solely to federal agency actions. 16 U.S.C.
§ 1536(a)(2). Accordingly, regulatory restrictions on
private landowners, along with attendant costs, only
occur if the landowner engages in some activity with a
federal nexus (e.g., federal permitting or funding). In
such instances, the federal nexus triggers the relevant
federal agency’s duty under Section 7 to consult with
the wildlife agencies to “insure” that the agency avoids
“adversely modifying” critical habitat. Id. Even then,
23
the wildlife agencies often reach a compromise during
consultation that allows the landowner’s development
project to go forward with minimal restrictions, and
therefore minimal costs.
Indeed, empirical studies of the Section 7 consultation process have repeatedly shown that consultation hardly ever prevents projects from going forward,
and indeed, very rarely produces a jeopardy or adverse
modification finding at all. See Jacob W. Malcom & YaWei Li, Data Contradict Common Perceptions About a
Controversial Provision of the Endangered Species Act,
112 PNAS 15844 (2015); Dave Owen, Critical Habitat
and the Challenge of Regulating Small Harms, 64 FLA.
L. REV. 141 (2012); DONALD BARRY ET AL., FOR CONSERVING LISTED SPECIES, TALK IS CHEAPER THAN WE THINK
(1992), www.nativefishlab.net/library/textpdf/15635.pdf;
U.S. GENERAL ACCOUNTING OFFICE, GAO-92-131BR,
ENDANGERED SPECIES ACT: TYPES AND NUMBER OF IMPLEMENTING ACTIONS 31–32 (1992); H.R. REP. NO. 97567, pt. 1 (1982).
The most recent of these studies analyzed 88,000
formal and informal consultations conducted between
2008 and 2015, and found that “no project was stopped
or extensively altered as a result of FWS finding jeopardy or destruction/adverse modification.” Malcom &
Li, supra, at 15,845. Indeed, only two of the consultations analyzed produced a jeopardy and/or adverse
modification finding at all—and a court overturned
one of those, leaving only one jeopardy finding in place.
Id. In that case, FWS allowed the project to proceed
24
with measures in place to minimize and partially offset
the adverse effect on the species. Id.
Moreover, because consultations occur even in
the absence of critical habitat designation (to ensure
federal agencies do not “jeopardize” listed species),
only some small portion, if any, of the already small
percentage of consultations that result in significant
development restrictions can actually be attributed to
critical habitat designations. See Owen, supra, at 165–
67 (“[C]ritical habitat designations had little effect on
regulatory outcomes.”). In short, even when a critical
habitat designation triggers Section 7 consultation, it
rarely imposes significant costs. See Erik Nelson et al.,
Identifying the Impacts of Critical Habitat Designation
on Land Cover Change, 47 RESOURCE & ENERGY ECON.
89 (2016) (finding no significant difference in rate of
land cover change between lands with and without
critical habitat designations).
Accordingly, estimating the costs of including any
particular area of privately owned land in a critical
habitat designation requires (1) predictions about the
kinds of development activities landowners are likely
to pursue in the future; (2) predictions about the likelihood that such activities will involve a federal nexus;
and (3) predictions about the likelihood, nature, and
cost of any development restrictions that any resulting
Section 7 consultations might impose. Thus, “the seemingly scientific numbers produced by such analyses
actually rest on multiple layers of guesses and simplifying assumptions, each of which is subject to challenge. And errors in the early layers multiply as each
25
subsequent layer is added.” Sinden, Economics of Endangered Species, at 200.
ii. The Economic Analysis for the Gopher
Frog Designation, Which Found Costs
Unquantifiable, Illustrates These Difficulties
The Economic Analysis of the designation of critical habitat for the gopher frog provides an illustration
of these difficulties. The authors of the Economic Analysis judged the uncertainties associated with the cost
calculation for Unit 1 so significant as to preclude a
single quantitative estimate. Instead, the analysis developed three separate cost estimates based on three
possible “scenarios” of how future events might unfold,
even assuming the owners pursue residential development of the land (another source of considerable uncertainty).5 Those three scenarios generated three highly
disparate cost estimates—$0, $20 million, and $34 million—but the analysts were unable to quantify (or estimate in any way) their relative probabilities. EA at
4–15.
5
This scenario approach is entirely consistent with OMB
guidance. See Circular A-4 at 18 (“When . . . benefit and cost estimates are uncertain . . . you should report benefit and cost estimates that reflect the full probability distribution of potential
consequences. . . . If . . . lack of knowledge prevents construction
of a scientifically defensible probability distribution, you should
describe benefits or costs under plausible scenarios and characterize the evidence and assumptions underlying each alternative
scenario.”).
26
As noted above, the first step in generating a cost
estimate requires predicting the kind of development
the owners are likely to pursue. The Economic Analysis
explained that Unit 1 is comprised of 1,544 forested
acres that have been managed for timber harvest for
the past 100 years. EA at 4–11. It covers only a small
portion (3.5 percent) of much larger land holdings
owned by six private landowners. EA at 4–6. One of
those landowners is Weyerhaeuser; the other five have
been leasing their land to Weyerhaeuser (or its corporate predecessor) since 1953. The current lease is set
to expire in 2043. EA at 4–1.
In 2006, the five landowners “entered into an understanding with the Weyerhaeuser Real Estate Development Company (WREDCO)” to pursue a joint
venture for residential development of the land “when
market conditions are amenable.” EA at 4–2. The current timber lease would be “released once [such] development occurs,” and if the land is sold to a third party,
the landowners and WREDCO have agreed on a division of the profits. Id.
While the area is fast growing and considered attractive for development, according to the Economic
Analysis, “[d]evelopment plans for [unit 1] are currently delayed due to the recession and the negative
real estate bank-lending environment. Recently, the
landowner indicated that development may not occur
until 2043. . . .” EA at 4–3; see also id. at 4–2, n. 68
(“There remains significant uncertainty regarding the
timing of potential development activities within Unit
1.”); AR 3564 (similar).
27
Designation only triggers regulatory action on private land if some development activity involves a “federal nexus,” if that nexus triggers formal consultation
under Section 7, and if that consultation then imposes
development restrictions. Filling the ephemeral pools
or other wetlands on Unit 1 in connection with residential development would only create a federal nexus if
a Section 404 Clean Water Act permit, 33 U.S.C.
§ 1344(a), was required. It is unlikely that continued
timber production would create such a federal nexus,
because of a specific grandfathering exemption for existing timber operations in Section 404 of the Clean
Water Act. 33 U.S.C. § 1344(f )(1)-(2).
Accordingly, if the landowners continue to manage
the land for timber production, there will likely be no
significant costs. The critical habitat designation will
only trigger Section 7 consultation if the landowners
pursue residential development, if those development
plans require filling of pools, and if the pools turn out
to be subject to Clean Water Act jurisdiction.6 Even
then, as discussed above, the costs of designation
might well remain low because consultation rarely results in significant restrictions on development. Only
if the landowners and the U.S. Army Corps of Engineers (Corps) are unable to negotiate reasonable and
prudent alternatives that allow the development to go
6
It should be noted that any resulting development restrictions can only be attributed to the critical habitat designation
if they would not have occurred under the jeopardy standard in
the absence of the designation.
28
forward without undue harm to the frog habitat will
there be significant costs.7
In short, if the landowners continue the land’s current use for timber production, no regulatory activity
under the ESA will likely be triggered, resulting in a
cost of zero or close to it.8 To the extent the landowners
do pursue residential development on Unit 1, those
plans are likely decades off and thus relatively speculative. The Economic Analysis notes that 2043, the predicted development date, “is beyond the 20-year
timeframe of this analysis.” EA at 4–3. Arguably these
plans are too far out in the future and too speculative
to be accounted for in the Economic Analysis at all.
Nonetheless, all three scenarios in the analysis proceeded on the (conservative) assumption that the landowners would eventually pursue plans for residential
development of lands within Unit 1. EA at 4–6.
7
The Analysis also discussed other potential costs that it
concluded were too uncertain and speculative to quantify, including the possibility of oil and gas development on Unit 1, see EA at
4-5 to 4-6, the possibility of stigma effects, see id. at 2-17, and prescribed burns necessary “in order to properly manage the breeding sites within Unit 1.” Id. at 4-3.
8
The Economic Analysis notes that even if critical habitat
designation does not actually result in any actual regulatory restriction on use of the land, “[p]ublic attitudes about the limits or
restrictions that critical habitat may impose can cause real economic effects to property owners. . . .” EA at 2-17. It also observes
that such “stigma effects” are likely to decrease over time: “As the
public becomes aware of the true regulatory burden imposed by
critical habitat, the impact of the designation on property markets
may decrease.” Id.
29
Based on that assumption, the Economic Analysis
described the three possible scenarios like this:
•
Scenario 1 . . . assumes that development occurring within [Unit 1] avoids impacts on jurisdictional wetlands, [such that] there is
no Federal nexus . . . triggering section 7 consultation[, generating an estimated cost of
$0]. . . .9
•
Scenario 2 . . . assumes the proposed development of Unit 1 requires a Corps CWA Section
404 permit . . . subject to section 7 consultation . . . [and] further assumes that [negotiations between the landowners and the
Service] result[ ] in 40 percent of the Unit being developed[, generating an estimated cost
of $20 million]. . . .
•
Scenario 3 . . . again assumes that the proposed development of Unit 1 requires a Section 404 permit and therefore is subject to
section 7 consultation . . . [and further] assumes that . . . the Service recommends that
no development occur within the unit[, generating an estimated cost of $34 million].
EA at 4–4. The analysis did not explicitly list a fourth
possibility—what we might call “scenario #0”—in
which no residential development occurs on Unit 1 at
all.
9
This scenario could occur in two different ways: First, the
Corps might decide that the pools are not within its jurisdiction.
Second, the design for development might avoid the pools.
30
The analysis generated the dollar figures for each
scenario by multiplying the number of acres on which
development would be prohibited by $23,500, the price
per acre at which “adjacent land with comparable zoning has been proposed for sale.” EA at 4–6. Because the
adjacent lands are also subject to Weyerhaeuser leases,
the analysis inferred that this per acre price did “not
include the value of the standing timber,” but rather
reflected only the value of the land for future development.10 Id.
The analysis made no effort to characterize the
relative probabilities of the three scenarios, but the existence of a fourth plausible scenario means that the
probabilities of the three named scenarios likely sum
to less than 100 percent. There is good reason to suggest that Scenarios 1 and 2 are more likely. First, FWS
has a legal obligation to work with the landowners to
identify “reasonable and prudent alternatives” that
will allow development to go forward without causing
jeopardy or adverse modification, 16 U.S.C. § 1536(b)(3),
and those alternatives must be both economically and
technologically feasible. 50 C.F.R. § 402.02 (definition
10
The analysis concedes that this per-acre price “is not a perfect proxy for development value of the critical habitat acres,” but
notes that it “represents the best available information.” EA at 47. It is also worth noting that this price also potentially over-estimates the portion of the land’s value attributable to future residential development potential because it presumably includes not
just future residential development potential, but all future development potential, including future timber harvest (beyond the
currently standing timber), which the critical habitat designation
does not impair.
31
of “reasonable and prudent alternatives”). In this case,
FWS’s repeated statements that it “hope[s] to work
with the landowners to develop a strategy that will allow them to achieve their objectives for the property
and protect the isolated, ephemeral ponds,” indicate
that Scenarios 1 and 2 are more likely than Scenario
3. 77 Fed. Reg. at 35,123; see also EA at 4–3 to 4–4
(noting that, as between Scenarios 2 and 3, FWS has
called Scenario 2 “the most likely”).
In addition, with respect to Scenario 1, it is significant that the FWS has described the pools at issue as
“isolated.” 77 Fed. Reg. at 35,123–24. Although the
rules governing the Corps’ Section 404 jurisdiction are
currently in flux, even on the most liberal reading, the
Corps’ jurisdiction excludes “isolated” ponds that occur
within one state’s boundaries. See Solid Waste Agency
of N. Cook Cty. v. U.S. Army Corps of Eng’rs, 531 U.S.
159 (2001). Accordingly, there is a high likelihood that
the Corps would find the ephemeral pools on Unit 1 to
fall outside its jurisdiction such that even a residential
development plan that required complete destruction
of the pools would have no impact on jurisdictional waters and would therefore fall within Scenario 1. Even
if the federal government were to assert jurisdiction
under Section 404, Scenario 1 might still come to pass
if the development was designed to avoid impacts to
jurisdictional waters.
Finally, an understanding of the empirical literature on the Section 7 consultation process described
above suggests that Scenario 3 is quite unlikely. See
AR 3563 (“During section 7 consultations, the Service
32
works with our Federal partners to minimize the impacts of a particular action to designated critical habitat. Therefore, the likelihood of scenario 3 . . . is low.”).
b. FWS’s Economic Analysis for the Gopher
Frog Estimated Benefits in Entirely Qualitative Terms.
i. The Enormous Challenges in Estimating the Benefits of Critical Habitat
Designation Mean the Wildlife Agencies Typically Do Not Quantify These
Estimates
The wildlife agencies rarely produce monetary
estimates of benefits in their economic analyses of critical habitat designations. See Sinden, Economics of
Endangered Species, at 180–83. Although there is a
substantial literature showing the public’s willingness
to pay for the preservation of endangered species in
general, it is rare for there to be willingness-to-pay
studies on any particular listed species. Even rarer are
studies that quantify the incremental value attributable to designating any particular area as critical habitat. See id.
Further exacerbating these economic valuation
problems is the fact that virtually all of the sources of
uncertainty described above for cost estimation also
plague the benefits side of the balance. It is an inherently probabilistic enterprise—and one for which the
necessary information to allow quantification, or even
qualitative description of the relevant probabilities, is
33
usually lacking. It is thus no surprise that the longrunning and widespread practice of the wildlife agencies is to describe these benefits in qualitative terms.
ii. The Economic Analysis for the Gopher Frog Designation, Which Found
Benefits Unquantifiable, Illustrates
These Difficulties
FWS’s Economic Analysis of the critical habitat
designation for the gopher frog was no exception. It
discussed the fact that willingness-to-pay studies can
generate quantified estimates of some of these benefits, but noted that no such studies exist for the gopher
frog. See EA at 5–1 (citing J.B. Loomis & Douglas S.
White, Economic Benefits of Rare and Endangered
Species: Summary and Meta-Analysis, 18 ECOL. ECON.
197 (1996). Even if such studies did exist for the gopher
frog generally (or for a sufficiently similar species),
translating those general estimates into a specific estimate of “the incremental change in the probability of
gopher frog conservation that is expected to result
from [this particular] designation,” or from the inclusion of any particular unit of critical habitat within the
designation, would require even more granular studies. EA at 5–1.
Such studies would have to evaluate inherently
uncertain and stochastic factors. FWS’s whole purpose
in adding Unit 1 was to provide a hedge against uncertain but potentially catastrophic events. The six peer
reviewers were unanimous in their assessment that
34
without Unit 1, there was a “high risk” that “local catastrophic events” like “disease or drought” could eradicate the existing population of gopher frogs and their
habitat in Mississippi. 77 Fed. Reg. at 35,121, 35,134–
35. Thus, a study quantifying the additional benefits
provided by the inclusion of Unit 1 would have to put
a number on the probability of such stochastic events
occurring. Not surprisingly, “[n]o [such] studies exist.”
EA at 5–1. They never do. Accordingly, the Analysis described the benefits of designation generally, and the
inclusion of Unit 1 specifically, in entirely qualitative
terms. See EA at 2–18.
This qualitative description of benefits was wide
ranging, including both direct and ancillary benefits.
The direct benefits described in the Analysis included
“the maintenance or enhancement of the use and nonuse value (e.g., existence value) that the public may
hold specifically for the gopher frog.” EA at 5–2. The
use values included “wildlife-viewing opportunities
[and] option[s] for seeing or experiencing the species in
the future.” EA at 5–1. The non-use values included
“assur[ing] that the species will exist for future generations, and simply knowing a species exists, among
other values.” Id.
The Analysis also discussed ancillary benefits,
noting that “critical habitat designation can result in
maintenance of particular environmental conditions
that may generate other social benefits aside from the
preservation of the species.” EA at 2–18. These include
“the public’s willingness to pay to preserve wilderness areas, for wildlife management and preservation
35
programs[;] protection of open space[;] and ecosystem
maintenance.” Id. at 5–1. As it did with respect to direct benefits, the Analysis indicated that, while such
benefits likely exist, studies have not been done at a
sufficient level of granularity to permit quantification
of “the incremental values associated with this . . . critical habitat designation.” Id.
The Analysis then went on to discuss a number of
additional ancillary benefits that can be anticipated to
occur in connection with “the avoidance of development in Unit 1.” Id. at 5–2. These included increases in
property values for neighboring or nearby parcels that
may occur as a result of “open space or decreased density of development resulting from gopher frog conservation.” Id. Economic modeling demonstrates that
these impacts can be substantial, even outweighing
the negative impacts to the value of the land designated. See John M. Quigley et al., The Urban Impacts
of the Endangered Species Act: A General Equilibrium
Analysis, 61 J. URBAN ECON. 299 (2007).
Ancillary benefits discussed by the Analysis also
include “social welfare gains . . . associated with enhanced aesthetic quality of [the] habitat,” EA at 5–2;
“[t]he maintenance or enhancement of use and non-use
values for these other species” in the same ecosystem,
EA at 5–3; a variety of ecosystem service benefits, including “protection and improvement of water quality
and preservation of natural habitat for other species,”
as well as “improvements to ecosystem health that are
shared by other, coexisting species,” EA at 5–2 to 5–3;
36
and, finally, “[t]he maintenance or enhancement of . . .
biodiversity in general.” EA at 5–3.
The inclusion in cost-benefit analysis of “ancillary
benefits”—i.e., those that are not the primary goal of
the regulatory action but can nonetheless be expected
to result from it—is basic, uncontroversial, textbook
economics and is, in fact, required by OMB guidance.
See, e.g., Boardman, supra, at 2 (“In CBA we try to consider all of the costs and benefits to society as a whole.”)
(emphasis added); Circular A-4 at 26 (“Your analysis
should look beyond the direct benefits and direct costs
of your rule and consider any important ancillary benefits and countervailing risks.”).
c. The Cost-Benefit Analysis Was Inconclusive as to Whether Benefits Will Ultimately
Outweigh Costs or Vice Versa.
Petitioners have raised a number of objections
about the methods employed in FWS’s Economic Analysis. See Weyerhaeuser Merits Br. 53–55. These objections were not raised with specificity before the court
of appeals, see Markle Interests, L.L.C. v. U.S. Fish &
Wildlife Serv., 827 F.3d 452, 475 (5th Cir. 2016) (“the
Landowners do not challenge the methodology that the
Service used when analyzing the economic impact on
Unit 1”), nor were they included in the questions on
which this Court granted certiorari. Accordingly, these
objections are in contravention of Rule 24.1(a) and
should be deemed forfeited. See Taylor v. Freeland &
Kronz, 503 U.S. 638, 646 (1992) (“[T]his Court does not
37
decide questions not raised or resolved in the lower
court[s].”) (second alteration in original) (quoting
Youakim v. Miller, 425 U.S. 231, 234 (1976) (per curiam)).
In any event, the petitioner’s objections to the Economic Analysis lack merit. The Economic Analysis
properly emphasized the many layers of uncertainty
on both sides of the balance, and ultimately, produced
inconclusive results. Noting that the “benefits of the
proposed rule are best expressed in biological terms,”
EA at 2–18 (emphasis omitted), the analysis described
the benefits of the critical habitat designation in
wholly qualitative terms. This does not mean that the
benefits were zero. Nowhere did the Economic Analysis
state that the designation would produce “no benefits.”
Rather, it identified and described a whole range of expected benefits in qualitative terms. In addition to the
increased potential for future conservation and recovery of the gopher frog, these include recreational and
aesthetic values; existence values; values to future
generations, and values stemming from the preservation and enhancement of ecosystem services, biodiversity, and increases in property values of nearby parcels
due to open space preservation.11 On the other side of
the balance, the analysis was also unable to quantify
costs, instead outlining a series of three possible “scenarios,” each of unknown probability.
11
Ironically, these enhancements in property value may in
many instances accrue to the petitioners themselves, who own far
more land in the vicinity than just the relatively small parcel that
constitutes Unit 1.
38
As noted above, the same sources of uncertainty
plague both the cost side and the benefit side of the
analysis—in particular, uncertainty about the extent
to which critical habitat designation will ultimately result in on-the-ground development restrictions. Because both costs and benefits are linked at least in part
to development restrictions, they may fluctuate in
concert. Where significant development restrictions
impose high costs, those same restrictions may well
provide significant environmental benefits.
Petitioners’ assertion that costs will simultaneously be at their peak while benefits are zero is untenable as a matter of both law and fact. First, the
argument that the designated critical habitat’s value
to the species is zero because the land is currently unoccupied flies in the face of the clear statutory text.
Congress would not have made specific provision in the
statute for the designation of unoccupied habitat if it
did not believe that such habitat could provide significant potential value—or a kind of “option value”—for
imperiled species. Second, as noted above, in the unlikely event that Section 7 consultation occurs and results in significant development restrictions (Scenario
2 or 3), it is also likely that the FWS and the landowners would find a “reasonable and prudent alternative”
that would allow at least some development to go forward in exchange for management of the land to allow
reintroduction of the frog. It is also possible that habitat protections under such a scenario would incentivize
the landowners to sell to a land trust or other buyer
interested in managing the land as frog habitat. In
39
that instance—where landowners’ costs would likely
be at their highest—biological and other benefits
would also likely be at their highest point because
frogs and the ecosystem would receive more protection.
In short, if substantial development restrictions
do occur on the land, those restrictions will impose
costs on the landowners. They will also generate benefits in the form of protections for the species, open
space preservation, ecosystem services, and the many
other benefits described in the Analysis.
------------------------------------------------------------------
CONCLUSION
The judgment of the court of appeals should be affirmed.
Respectfully submitted,
AMY SINDEN
TEMPLE UNIVERSITY
BEASLEY SCHOOL OF LAW
1719 N. Broad St.
Philadelphia, PA 19122
(215) 204-4969
asinden@temple.edu
DOUGLAS R. WILLIAMS
SAINT LOUIS UNIVERSITY
SCHOOL OF LAW
100 N. Tucker Blvd.
St. Louis, MO 63101
(314) 977-2786
williaj2@slu.edu
AMY J. WILDERMUTH
Counsel of Record
UNIVERSITY OF PITTSBURGH
SCHOOL OF LAW
3900 Forbes Ave.
Pittsburgh, PA 15620
(412) 648-1401
amy.wildermuth@pitt.edu
This is a copy of a public record, reproduced as it was published. It is not legal advice, and it may not be the version a court would rely on. Check the official source before you cite it.