How to Clone a Mammoth: The Science of De-Extinction

Beth Shapiro

An insider's view on bringing extinct species back to life Could extinct species, like mammoths and passenger pigeons, be brought back to life? In How to Clone a Mammoth, Beth Shapiro, an evolutionary biologist and pioneer in ancient DNA research, addresses this intriguing question by walking readers through the astonishing and controversial process of de-extinction. From deciding which species should be restored to anticipating how revived populations might be overseen in the wild, Shapiro vividly explores the extraordinary cutting-edge science that is being used to resurrect the past. Considering de-extinction's practical benefits and ethical challenges, Shapiro argues that the overarching goal should be the revitalization and stabilization of contemporary ecosystems. Looking at the very real and compelling science behind an idea once seen as science fiction, How to Clone a Mammoth demonstrates how de-extinction will redefine conservation's future.

ScienceScience · medium confidenceScience81 signalsLlm Classifier: Science -> ScienceGoogle Books: Nature -> Nature & EnvironmentKeyword Classifier: Nature & Environment -> Nature & EnvironmentScience & DiscoveryClimate, Weather & DisasterEnvironment, Conservation & Pollution
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    The goal of de-extinction should be the revitalization and stabilization of contemporary ecosystems, balancing practical benefits with ethical challenges in how revived populations are overseen.

    Model confidence 72%

  4. 04 Reading orientation

    62 / 100 academic

    Academic

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 72%.