Johnson et al. (2017) trace human-caused extinction back 2 million years: African large carnivores declined by two-thirds with early Homo, 12 proboscidean species were reduced to two, and at least 140 mammalian genera (over 10% of the global total) vanished in the 100,000 years before 1500 CE β far above fossil-record background rates of ~2 extinctions per million species-years . The Review's most consequential quantitative claim: extrapolating recent trends predicts 269β350 further bird and mammal extinctions by 2100, yet 1,341 birds and mammals are already Critically Endangered or Endangered (85% declining), implying extinction rates could rise at least fivefold .
Key data the paper reports: global conservation spending of $21.5B/year (2001β2008, 94% domestic in high-income countries); Human Footprint +9% (1993β2009); unmodified forest landscapes β7.2% (2000β2013); Biodiversity Intactness Index (~15% abundance loss) versus Living Planet Index (58% vertebrate decline since 1970) β a striking inconsistency the authors themselves flag as an indicator problem .
The authors diagnose four interrelated failure causes: (1) rising pressures offset responses; (2) unaddressed threat synergies (e.g., tropical roads catalyzing exploitation cascades); (3) inadequate, geographically mismatched funding; (4) conservation's marginalization from economic planning. They balance this with documented successes: without recent conservation actions, bird/mammal threat status would be 18% worse (Hoffmann et al. analysis); Brazilian Amazon deforestation fell to one-third of its 2004 peak, avoiding 3.2 Gt CO2 while beef/soy production continued growing .
Strengths: Deep-time framing is genuinely clarifying β prehistoric extinctions track human arrival rather than climate, best explained by hunting, which strengthens the inference that humans are the dominant driver . Limitations: vertebrate extrapolation to understudied taxa assumes Red List assessments are unbiased samples (the paper acknowledges poor knowledge limits); the fivefold-acceleration projection is a counterfactual scenario, not an observed trend; protected-area claims rest on heterogeneous evaluations (African large mammal abundance β59% 1970β2005 inside protected areas, yet a global synthesis found populations stable). Later work supports their critique of area-based metrics: Australian MPA analysis showed coverage progress masking low no-take protection levels , and Martial Eagle declines of ~60% occurred inside protected areas (Kruger β54%), confirming the paper's warning that protected-area coverage is a weak proxy for effectiveness . Counter-evidence exists too: global invasive-species establishment slowed ~35% over 1970β2020 (still short of the 50% target), suggesting some anthropogenic pressure curves can bend . The paper's blind spots: reliance on vertebrate yardsticks, limited treatment of genetic diversity erosion, and a normative conclusion (mainstreaming conservation "like prevention of slavery") that is aspirational rather than empirically derived.
Falsifiability: The central prediction β accelerating extinction β would be weakened if Red List reassessments showed sustained de-listings, or if Critically Endangered species recoveries outpace new listings. The conclusion that conservation only "buys time" would be overturned by documented net biodiversity gains in understudied taxa without intervention.
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