A Complex Life Habitable Zone Based On Lipid Solubility Theory

Abstract

To find potentially habitable exoplanets, space missions employ the habitable zone (HZ), which is the region around a star (or multiple stars) where standing bodies of water could exist on the surface of a rocky planet. Follow-up atmospheric characterization could yield biosignatures signifying life. Although most iterations of the HZ are agnostic regarding the nature of such life, a recent study argues that a complex life HZ would be considerably smaller than that used in classical definitions. Here, I use an advanced energy balance model to show that such an HZ would be considerably wider than originally predicted given revised CO2 limits and (for the first time) N2 respiration limits for complex life. The width of this complex life HZ (CLHZ) increases by ~35% from ~0.95–1.2 AU to 0.95–1.31 AU in our solar system. Similar extensions are shown for stars with stellar effective temperatures between 2,600–9,000 K. I define this CLHZ using lipid solubility theory, diving data, and results from animal laboratory experiments. I also discuss implications for biosignatures and technosignatures. Finally, I discuss the applicability of  the CLHZ and other HZ variants to the search for both simple and complex life.

Introduction

The habitable zone (HZ) is the region around a star (or multiple stars) where standing bodies of liquid water could exist on the surface of a rocky planet1,2,3. To date, the HZ remains the principle means by which potentially habitable planets are targeted for follow up spectroscopic observations2.

In the classical HZ definition of Kasting et al.1, the interplay of CO2 and H2O determines the habitability of planets over an inferred carbonate-silicate cycle that operates over the main-sequence phase of stellar evolution1. However, the HZ is an atmospheric composition dependent concept that is highly sensitive to the assumptions made4. Alternative definitions include extensions involving hydrogen5,6, methane7, or applications to the pre-main-sequence or post-main-sequence phases of stellar evolution8,9,10. Thus, an ongoing debate exists regarding which HZ to use and under which circumstances2,11,12,13.

Although some core assumptions may differ among HZ definitions, all inherently assume that both simple and complex life are searched and make no distinction between the two. Indeed, much of the classical HZ supports atmospheric conditions that are hostile to Earth-like animal and plant life1.

Recently, Schwieterman et al.14 used a 1-D radiative-convective climate model to argue that a HZ for complex life (e.g. animals and plants) would be significantly narrower than the classical main-sequence CO2-H2O HZ1,3. They correctly argue that the CO2 pressures that human and animal life can adapt to would be lower than those inferred for other HZ definitions. Their calculated complex life HZ outer edge spans a wide range of CO2 pressures (0.01 bar to 1 bar) that correspond to a similarly unconstrained range in orbital distances (~1.1–1.3 AU in our solar system). However, a tighter HZ definition is useful in the astronomical search for potentially habitable planets. Here, we apply insights from laboratory experiments and lipid solubility theory15,16,17 to more tightly constrain CO2 and (for the first time) N2 atmospheric pressure limits for Earth-like complex life. Incorporating these updated constraints, I use an advanced latitudinally-dependent energy balance model with clouds to show that such an HZ is significantly wider than previously estimated14. I caveat this analysis by acknowledging that such terrestrial N2 and CO2 limits may or may not apply to other planets. This is because we do not know the capacity of complex alien life (with a different evolutionary lineage) to adapt to very high (multi-bar) N2 or CO2 pressures. Only future observations and studies can address this point. Nevertheless, astrobiology research often assumes that certain characteristics common to life on Earth (e.g., carbon-based life, the abundance of water) may be universal. Similarly, the hypothesis that extraterrestrial complex life may be bound by similar respiratory constraints as is life on Earth makes this Complex Life HZ (CLHZ) potentially useful in the astronomical search for life14,18,19.

It is often incorrectly assumed that complex life only refers to metazoans and protists. However, plants and many fungi are also very complex. Nevertheless, little work has systematically assessed the survivability of such organisms to the elevated atmospheric CO2 or N2 pressures considered here. Thus, the criteria necessarily limit such complex life to metazoan animals, including humans, that directly breathe atmospheric air. Animals that breath underwater using gills (like fish and squid) are not included for this reason (although such marine animals may be bound by similar aquatic CO2 limits14). Cetaceans (e.g., whales and dolphins) satisfy the criteria because they have lungs and must resurface for air. Using this framework, I discuss CO2 and N2 respiratory limits for humans and other air-breathing animals based on our current understanding of complex life on Earth. In extrapolating these concepts to the CLHZ, I assume that complex life elsewhere is bound by similar N2 and CO2 respiratory limits as are humans and other terrestrial air-breathing animals (discussed more in Supplementary Information).

CO2 and N2 Limits For Complex Life Habitable Zone

Centers for Disease Control (CDC) guidelines find that atmospheric CO2 concentrations exceeding 40,000 ppm (0.04 bar in a 1 bar atmosphere) are immediately dangerous to human life. This CDC assessment is based on quick and harmful exposure (acute) inhalation data in humans20. Common symptoms include dizziness, headache, and shortness of breath, which are similar to those of altitude sickness caused by low O2 (hypoxia). The negative effects of acute hypoxia can occur at elevations as low as 1,500 m. Indeed, rapid ascent to heights above ~2,500 m can trigger pulmonary edema and death in otherwise healthy individuals21. Even so, humans have proven capable of adapting to and even thriving at much higher altitudes. La Paz (population 2.7 million, ~0.12 bar O2), the capital of Bolivia, rests at an elevation above 3,650 m and La Rinconada (population 30,000), the highest permanent settlement in the world, has an elevation of 5,100 m22. Thus, what such CDC guidelines for CO2 exposure do not factor is the ability of humans (and other animals) to gradually acclimate to non-standard conditions. I attempt to estimate that component here.

Although very high CO2 acclimatization experiments would be dangerous to perform on humans, members of our species have successfully adapted to CO2 pressures of 0.04 bar23. Multiple studies have assessed how animals acclimate to even higher CO2 doses. For instance, rhesus monkeys have been acclimated to 0.06 bar CO2 to no ill effect24. Sheep exhibited some minor discomfort at 0.08 bar, but it was tolerable until 0.12 bar25,26, with death not occurring until 0.16 bar25,26. It is worth noting that an acclimatization threshold was only achieved in the sheep experiment, but not with the rhesus monkeys. Such experiments suggest a CO2 limit for animals of at least 0.1 bar (an expanded summary of laboratory results is found in Supplementary Information), but can this be estimated theoretically? And, in turn, can similar respiration limits be determined for N2?

There are three important effects to consider in determining how much CO2 our bodies can withstand. The first is that CO2 could replace O2 in the blood, which deprives oxygen. However, this inhibition of O2 hemoglobin effect is negligible because bicarbonates, not blood hemoglobin, transport most of the CO2 in the blood27. The second effect, respiratory acidosis, is the reduction of blood pH at higher CO2 levels and is the major cause of CO2 toxicity. However, our kidneys can neutralize the carbonic acid formed in the blood (in a process called renal compensation), allowing acclimatization to proceed28. Eventually, once gas pressures become too high, even kidney pH neutralization becomes insufficient to counter such an ill response. It is this effect, respiratory narcosis, that causes further breathing of the gas to produce symptoms similar to intoxication as the gas become anesthetic. This respiratory narcosis effect in our blood is related to its solubility in lipids and oils by the Meyer-Overton correlation15,16,17 (Fig. 1).

Figure 1
figure1

The Meyer-Overton correlation15,16,17,29, of oil/gas solubility versus anesthetic potential of inhaled gases. Figure recreated from published data15,16,17,29.

According to Fig. 1, most gases plot along a straight line. Chloroform is a great anesthetic because it can induce intoxication at relatively low pressures whereas helium requires much higher pressures to incur the same anesthetic effects. CO2 is much more narcotic than what lipid-solubility theory predicts, but that is due to respiratory acidosis, which can be overcome by renal compensation. Thus, the true narcotic potential of CO2 is most similar to that of N2O, which is ~21 times more narcotic than N2 (Fig. 1), consistent with ref. 29. For N2, the recommended safety limits for deep divers above which serious intoxication occurs is equivalent to 4 bar atmospheric pressure at 30 m29 (1 additional bar for each 10 m below sea level) or ~3.1 bar N2 in an Earth-like (78% N2) atmosphere, assuming that O2 has a similar narcotic toxicity as N2. This deep diving narcosis occurs because the air that divers breathe at depth becomes more compressed at increasingly higher pressures. In contrast, if renal compensation were ignored, the respiratory narcosis limit would be (3.1/100) ~ 0.03 bar, much too low relative to the above experiments. This again shows why the effects of renal compensation must be considered. Thus, the correct respiratory narcosis limit for CO2 is (3.1/21) ~0.15 bar, which is consistent with the animal experiments. However, laboratory experiments with rats suggest a slightly lower CO2 tolerance for newborns than for adults, closer to 0.1 bar30. In the absence of N2 respiration data for newborns, I assume that newborns would have a lower threshold tolerance for N2 as well, approximately 2/3 that of the theoretical adult limit (2 bar).

As per classical HZ calculations, the current simulated atmospheres are dominated by two atmospheric gases, N2 and CO2. Given the above theoretical and experimental considerations, I define the outermost extent of the CLHZ by the distance where equatorial temperatures can exceed the freezing point of water (273 K), assuming atmospheric CO2 and N2 pressures that are no higher than 0.1 bar and 2 bar, respectively. For humans, this CO2 tolerance limit is twice as high as previously suggested14. Such CO2 levels implicitly assume atmospheres containing roughly a standard amount of O2. At significantly lower O2 levels (e.g. <~0.13 bar), however, acclimatization to high CO2 levels does not seem possible30. Nevertheless, O2 can be ignored in the following HZ climate calculations for simplicity (see Methods). In contrast, the inner edge of the CLHZ is the same as that predicted by revised 1-D modeling results7,31,32. Thus (as customary), a 1-bar N2 classical HZ inner edge atmosphere pressure is also assumed for the CLHZ inner edge. Likewise, the modeled outer edge of the classical HZ (also with 1-bar N2) is determined by the distance beyond which the CO2 greenhouse effect is maximum1.

It is reasonable to ask if the above respiratory limits are applicable to complex life on Earth throughout its entire history (the Phanerozoic, corresponding to the past ~540 Myr). However, the answer to this question is likely “yes.” Phanerozoic CO2 levels were never higher than ~0.01 bar (< ~ 1/10 of the CO2 limit) whereas corresponding N2 pressures were comparable to that of the present day33,34. Thus, terrestrial complex life has always lived in atmospheres under N2 and CO2 pressures that have never exceeded these respiratory limits, validating the CLHZ as a tool that can be used in the search for Earth-like complex life on other planets.

Results

The CLHZ is a subregion within the classical HZ and is calculated assuming 1-bar and 2-bar N2 background pressures (Fig. 2). The CLHZ has been calculated using two models (see Methods). The first involves the radiative-convective (RC) model of Ramirez and Kaltenegger6,7, which is similar to previous ones used to compute the classical HZ1,3,14. In addition, I revise this calculation with an updated version of an advanced energy balance model35 (EBM) (Fig. 2). Both models yield almost identical classical HZ limits, in agreement with previous RC model studies1,2,3. This is because the atmosphere is so optically thick at both classical HZ edges that cloud absorption becomes less important, producing more agreement between the EBM and cloud-free RC model results . As I show below, however, the calculated CLHZ limits differ between the two models.

Figure 2
figure2

The Complex Life Habitable Zone (CLHZ) for A – M stars (2,600–9,000 K) compared to other definitions. The radiative-convective climate modeling CLHZ estimates (black curves) are shown alongside those of the EBM (blue curves) for both 1-bar (dashed curves) and 2-bar (curves with asterisks) N2 background atmospheres. All CLHZ outer edge limits assume a 0.1 bar atmospheric CO2 pressure. The inner (red curve) and outer (plain black curve) edges of the modeled classical HZ are also shown along with the 0.1 bar CO2 Habitable Zone for Complex Life (HZCL) (black dotted) of Schwieterman et al.14. The Earth and Mars around the Sun (5800 K) are shown for comparison.

The distance (d in AU) for the various HZ limits is calculated by the following1:

$$d=\sqrt{L/{S}_{EFF}}$$

Here, L is the stellar luminosity and (SEFF) is the effective stellar flux received by the planet normalized to that received by the Earth at 1 AU. For 1-bar N2 and 2-bar N2 background pressures, the RC model predicts a CLHZ outer edge of ~1.19 and 1.21 AU, respectively. With an inner edge located at 0.95 AU31, this yields a CLHZ width of ~0.24–0.26 AU. In comparison, the EBM computes HZ outer edges of ~1.27 and 1.31 AU, respectively, or a CLHZ width of 0.32–0.36 AU (~33–38% increase). For comparison, the EBM and RC model compute classical HZ limits of 0.95–1.67 AU (0.72 AU) in our solar system.

A wider CLHZ is predicted with the EBM for a few reasons. First, EBM equatorial temperatures can exceed the freezing point (273 K) even though mean surface temperatures do not (Fig. 3). In comparison, latitudinal temperature variations cannot be considered in the RC model computation, limiting calculations to a 273 K global mean surface temperature. Secondly, the RC model HZ calculations are calibrated such that cloud reflectivity for cooler planets near the outer edge of the CLHZ is similar to that of an Earth-like planet with a 288 K mean surface temperature1,3. However, this assumption overestimates the planetary albedo for cooler outer edge CLHZ planets (~273 K; Fig. 4), which are predicted to have lower cloud cover36. Thirdly, an Earth-like 30% land fraction is assumed in the EBM (see Methods), resulting in a somewhat weaker ice-albedo feedback than in the RC model aquaplanet, enabling effective heat transport at slightly larger orbital distances.

Figure 3
figure3

Latitudinal surface temperatures for planets near the outer edge of the CLHZ for representative A – M stars. Equator-pole temperature gradients are greatest for the A-star planet and least for the M-star planet.

Figure 4
figure4

CLHZ outer edge planetary albedo calculated from radiative-convective climate (black dashed line) and energy balance (blue line) modeling simulations and equatorial albedo computed from energy balance (blue line with circles) modeling simulations for planets (with 1 bar N2) orbiting A – M stars (2,600–9000 K). Planetary albedo is lower in the EBM for stars cooler than ~ 6000 K. Although EBM planetary albedo is higher for planets orbiting hotter stars, equatorial regions still exhibit lower albedo values.

The CLHZ is slightly wider at the higher N2 pressure because of increased N2-N2 collision induced absorption and a decrease in the outgoing infrared flux, which more than offset an increase in planetary albedo (Fig. 2; see Methods). Up to now, I had assumed that complex life couldn’t evolve over time to withstand even higher N2 pressures. Interestingly, diving data suggest that some acclimatization to nitrogen narcosis might be possible, at least for a limited amount of time29. Motivated by this, I consider how our solar system’s HZ changes if we assume (for the moment) that complex life could evolve to breathe in a hypothetical 5-bar N2 atmosphere. For this sensitivity study, the RC model predicts that such worlds in our solar system can remain habitable at 1.24 AU (SEFF = 0.65) whereas atmospheric collapse can be avoided as far as 1.36 AU (SEFF = 0.54) in the EBM (nearly 60% classical HZ width). I find that the additional N2 opacity is sufficient to counter the ice-albedo feedback, allowing for effective planetary heat transfer even at relatively far distances. A similar result was found in Vladilo et al.37 at higher atmospheric pressures. This is not captured in the RC model because it has no latitudinal temperature distribution.

Discussion and Conclusions

Although I find a CLHZ that is narrower than the classical HZ, it is significantly wider than recently predicted14 at the same CO2 level (0.1 bar), with an outer edge at 1.31 AU in our solar system (versus 1.19 AU with the RC model). The width of this CLHZ is more than 30% wider than previously computed for similar CO2 levels14, and nearly half that of the classical HZ (Fig. 2).

Schwieterman et al.14 argue that technological civilizations may not be possible on planets located near the outer edge of the classical HZ. However, these and similar calculations assume that complex life elsewhere would follow a similar evolutionary path as has the Earth. This need not be the case38. If complex life can evolve to breathe in even denser CO2 or N2 atmospheres, and acclimatization to narcosis is possible, as perhaps suggested by N2 diving data29, then the HZ for complex life may be larger than computed here, possibly rivaling the size of the classical HZ (see Results). Nevertheless, all respiratory limits become moot if they can be overcome through non-evolutionary means (e.g. genetic engineering) by a civilization that is even more advanced than ours.

Those caveats aside, if SETI efforts eventually prove successful, the CLHZ could be used to determine which HZ planets in a given system may harbor complex life. Otherwise, in the search for life in general (including simple life) we should employ the full extent of the HZ, ideally using the correct version of the HZ for the appropriate conditions3,6,7,9, which should be used in tandem with any potential biosignatures. The proper HZ to use for a given stellar system will be a function of variables, including stellar age9,10,39, and atmospheric composition5,6,7.

An ongoing uncertainty in calculated HZ limits is the location of the classical HZ inner edge for tidally-locked planets, particularly around M-dwarf stars. Some 3-D climate models predict that the inner edge for planets orbiting tidally-locked stars is somewhat closer to the star than what 1-D models predict40,41,42 suggesting a wider classical HZ and CLHZ. This is because a large substellar point cloud deck forms in these models, increasing the fraction of reflected starlight and causing the runaway greenhouse to be triggered at smaller orbital distances. However, the calculated limits differ widely among models and strongly depend on model assumptions, including convection and cloud schemes. More recent models have found better agreement with the 1-D limits42. Nevertheless, further improvement here requires a better understanding of clouds and convection in climate regimes that are far removed from Earth’s.

It was argued that atmospheric CO on mid to late M-dwarf HZ planets could accumulate sufficiently high to be lethal to complex life14. This may be possible on worlds that evolve Earth-like atmospheric conditions and chemistry. However, many M-dwarf HZ worlds that are currently located in the main-sequence HZ would have experienced lengthy runaway greenhouse episodes lasting hundreds of millions, if not more than a billion years. Such planets likely have their atmospheres eroded and surfaces desiccated9,43. Alternatively, some M-dwarf HZ planets may be ocean worlds that are very unlike our planet. In that case, complex life may be severely inhibited, if not impossible35.

To conclude, I define a complex life habitable zone (CLHZ) for A - M stars that is based on N2 and CO2 respiration limits for complex life on Earth, assuming that advanced life elsewhere will exhibit similar physiological limitations as humans and other air-breathing animals. This CLHZ applies both theoretical ideas and implications from experimental results. Although I find that the CLHZ is narrower than the classical HZ, it is wider than what was recently computed using a radiative-convective climate model14. Ultimately, progress on this problem requires improved observational and experimental analyses that continue to refine the constraints for complex life.

Methods

Planetary assumptions

The planet of interest is an Earth analogue, with the same mass, radius, and orbital period. Atmospheres are assumed to be fully-saturated. I use typical values for Earth’s obliquity (23.5 degrees) and a 70% ocean coverage for the EBM calculations. A 1- or 2-bar N2 atmosphere is assumed (unless otherwise indicated) for a 0.1 bar CO2 atmosphere. Oxygen is neglected because its absorption is very weak and has a negligible effect on HZ limits1. Ozone is also not included. See “single column radiative-convective climate model” sub-section for ozone discussion.

Energy balance climate model

My advanced energy balance model (EBM) is an updated version of the non-grey latitudinally dependent model described in Ramirez and Levi35. The model assumes that planets in thermal equilibrium (on average) absorb as much energy from their stars as they emit. Planets are divided into 36 latitude bands that are each 5° wide. We assume the following radiative and dynamic energy balance equation for all latitude bands and time steps44,45.

$$C\frac{\partial T(x,t)}{\partial t}-\frac{\partial }{\partial x}D(1-{x}^{2})\frac{\partial T(x,t)}{\partial x}+OLR=S(1-A)$$
(1)

where, x is sine(latitude), S is the incoming stellar flux, A is the top of atmosphere albedo, T is surface temperature, OLR is the outgoing thermal infrared flux, C represents the overall ocean-atmospheric heat capacity, and D represents a calculated diffusion coefficient. A second order finite differencing scheme solves Eq. 1.

The EBM accesses lookup tables constructed by the radiative-convective climate model (described below) which contain interpolated radiative quantities (stratospheric temperature, outgoing longwave radiation, planetary albedo) as a function of zenith angle, stratospheric temperature, surface temperature, pCO2, pN2, and surface albedo, The current EBM operates over a parameter space spanning 10−5 bar <pCO2 < 35 bar, 1 < pN2 < 10 bar, 150 K < T < 390 K, for zenith angles from 0 to 90 degrees and surface albedo values ranging from 0 to 1.

The model distinguishes between land, ocean, ice, and clouds. As the atmosphere warms near and above the freezing point, water clouds form, with cloud coverage (c) dictated by Eq. 2:

$$c=\,\min (0.72\,\log ({F}_{C}/{F}_{E}+1),1)$$
(2)

Here, FC is the convective heat flux whereas FE is the convective heat flux for the Earth at 288 K (~90 W/m2) in our model. This equation is similar to that used in the CAM GCM36,46, and yields an Earth-like cloud cover of ~50% at a mean surface temperature 288 K. When temperatures become cold enough for CO2 clouds to form, we assume a constant cloud fraction of 50%, following GCM studies47. Nevertheless, CO2 cloud formation does not occur in CLHZ simulations. H2O cloud albedo is assumed to be a linear function of zenith angle (in radians)37,48, (Eq. 3):

$${a}_{c}=\alpha +\beta z$$
(3)

Here, ac is cloud albedo, whereas the fitting constants α and β are −0.078 and 0.65, respectively.

Fresnel reflectance data for ocean reflectance at different zenith angles is used. Ice absorption is treated in UV/VIS and near-infrared channels and the proper contribution is calculated for each star type.

I implement the following albedo parameterization for snow/ice mixtures, similar to that in Curry et al.49 (Eq. 4)

$$\alpha (visible)=(\begin{array}{cc}0.7 & T\le 263.15\\ 0.7-0.020(T-263.15); & 263.15 < T < 273.15\\ 0.5 & T\ge 273.15\end{array})$$
$$\alpha (nir)=(\begin{array}{ll}0.5 & T\le 263.15\\ 0.5-0.028(T-263.15); & 263.15 < T < 273.15\\ 0.22 & T\ge 273.15\end{array})$$
(4)

The EBM also models water ice coverage within a latitude band (fice) to temperature based on empirical data50. I find the following fit (Eq. 5):

$$fice=(\begin{array}{ll}1. & ,\,T\le 239\\ 1-\exp ((T-273.15)/12.5) & ,\,239 < T < 273.15\\ 0 & ,\,T\ge 273.15\end{array})$$
(5)

Zonally-averaged, surface albedo at each latitude band is calculated via the following (Eq. 6):

$${a}_{s}=(1-fc)\{(1-{f}_{o}){a}_{l}+{f}_{o}[{f}_{i}{a}_{i}+(1-{f}_{i}){a}_{o}]\}+{f}_{c}{a}_{c}$$
(6)

Here, as, ac, ao, ai, and al are the surface, cloud, ocean, ice, and land albedo, respectively. Likewise, fc, fo, and fi are the cloud, ocean, and ice fraction, respectively. Following Fairen et al.51, at sub-freezing temperatures, the maximum value between ice and cloud albedo is chosen to prevent clouds from artificially darkening a bright ice-covered surface.

Heat transfer efficiency is determined by the following parameterization (Eq. 7):

$$D={D}_{o}\left(\frac{p}{{p}_{o}}\right)\left(\frac{{c}_{p}}{{c}_{p,o}}\right){\left(\frac{{m}_{o}}{m}\right)}^{2}{\left(\frac{{\Omega }_{o}}{\Omega }\right)}^{2}$$
(7)

Here, values with the “o” subscript indicate Earth’s values. cp is the heat capacity, m is atmospheric molecular mass, p is atmospheric pressure,  Ω is rotation rate, D is the globally-averaged heating efficiency, with a value of Do = 0.58 Wm−2K−1 for the Earth35,48.

The single column radiative-convective climate model

The single-column radiative-convective climate model6,7, has 55 thermal infrared and 38 solar wavelengths. Model atmospheres are composed of 100 vertical logarithmically-spaced layers that reach ~5 × 10−5 bar at the top of the atmosphere. In warmer atmospheres, water vapor convects and the model relaxes to the moist adiabatic value if exceeded. Likewise, when atmospheres are cold enough for CO2 to condense, lapse rates are adjusted to the CO2 adiabat1. The atmosphere expands when temperatures are warm enough although this does not have much of an effect in these relatively cool simulations (<300 K)52,53.

The radiative-convective climate model utilizes HITRAN54 at lower temperatures (<300 K) and HITEMP55 at higher temperatures for water vapor and HITRAN for CO2. Far wing absorption in the CO2 15-micron band utilizes the 4.3 micron region as a proxy56. The BPS water vapor continuum is overlain between 0 and 19,000 cm−157. I implement CO2-CO2 and N2-N2 CIA58,59,60,61 A standard Thekeakara solar spectrum62 is applied to the Sun whereas the spectra for the remaining A – M stars (TEFF = 2,600–9000 K) are modeled with Bt-Settl data63. One solar zenith angle at 60 degrees is assumed for the radiative-convective climate model habitable zone calculations.

As is typical for habitable zone calculations, I assume a temperature profile and calculate the fluxes that support it in what are called inverse calculations1. I prescribe stratospheric and mean surface temperatures of 160 K and 273 K, respectively. Results are relatively insensitive to ~30–40 K differences in stratospheric temperature1. The surface albedo (0.31 in my model) is a tuning parameter which gives the correct temperature structure for the Earth. Unlike the real Earth, neither oxygen nor ozone are present in these calculations. Ozone absorption cannot be reliably calculated with inverse calculations because ozone produces temperature inversions that are not captured by assuming a constant temperature stratosphere7. Nevertheless, the difference from making this assumption is no more than a couple of degrees in mean surface temperature1.

Data availability

All data from this study are included in this publication.

References

  1. 1.

    Kasting, J., Whitmire, D. & Raynolds, R. Habitable Zones Around Main Sequence Stars. Icarus 101, 108–128 (1993).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  2. 2.

    Ramirez, R. M. A more comprehensive habitable zone for finding life on other planets. Geosciences 8, 1–36 (2018).

    Article  CAS  Google Scholar 

  3. 3.

    Kopparapu, R. K. et al. Habitable Zones Around Main-Sequence Stars: New Estimates. Astrophys. J. 765, 131 (2013).

    ADS  Article  CAS  Google Scholar 

  4. 4.

    Heng, K. The Imprecise Search for Extraterrestrial Habitability. Am. Sci. 104, 146–149 (2016).

    Google Scholar 

  5. 5.

    Pierrehumbert, R. & Gaidos, E. Hydrogen Greenhouse Planets Beyond the Habitable Zone. Astrophys. J. Lett. 734, (2011).

  6. 6.

    Ramirez, R. M. & Kaltenegger, L. A Volcanic Hydrogen Habitable Zone. Astrophys. J. Lett. 837, (2017).

  7. 7.

    Ramirez, R. M. & Kaltenegger, L. A Methane Extension to the Classical Habitable Zone. Astrophys. J. 858, 72 (2018).

    ADS  Article  CAS  Google Scholar 

  8. 8.

    Danchi, W. C. & Lopez, B. Effect of Metallicity on the Evolution of the Habitable Zone From the Pre-Main Sequence To the Asymptotic Giant Branch and the Search for Life. Astrophys. J. 769, 27 (2013).

    ADS  Article  CAS  Google Scholar 

  9. 9.

    Ramirez, R. M. & Kaltenegger, L. The habitable zones of pre-main-sequence stars. Astrophys. J. Lett. 797, (2014).

  10. 10.

    Ramirez, R. M. & Kaltenegger, L. Habitable zones of post-main sequence stars. Astrophys. J. 823, (2016).

  11. 11.

    Cabrol, N. A. Alien Mindscapes — A Perspective on the Search for Extraterrestrial Intelligence. Astrobiology 16, 661–676 (2016).

    ADS  PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Moore, W. B. et al. How habitable zones and super-Earths lead us astray. Nature 1 (2017).

  13. 13.

    Tasker, E. et al. The language of exoplanet ranking metrics needs to change. Nature 1 (2017).

  14. 14.

    Schwieterman, E. W., Reinhard, C. T., Olson, S. L., Harman, C. E. & Lyons, T. W. A limited habitable zone for complex life. Astrophys. J. 878, 19 (2019).

    ADS  CAS  Article  Google Scholar 

  15. 15.

    Meyer, H. Zur Theorie der Alkoholnarkose. Naunyn. Schmiedebergs. Arch. Pharmacol. 42, 109–119 (1899).

    Article  Google Scholar 

  16. 16.

    Meyer, H. Zur Theorie der Alkoholnarkose. Arch. für Exp. Pathol. und Pharmakologie 46, 338–346 (1901).

    Article  Google Scholar 

  17. 17.

    Overton, C. Studien über die Narkose zugleich ein Beitrag zur allgemeinen Pharmakologie. Gustav Fischer, Jena, Switz. (1901).

  18. 18.

    Fujii, Y. et al. Exoplanet biosignatures: observational prospects. Astrobiology 18, 739–778 (2018).

    ADS  PubMed  PubMed Central  Article  Google Scholar 

  19. 19.

    Lingam, M. & Loeb, A. Relative likelihood of success in the search for primitive versus intelligent extraterrestrial life. Astrobiology 19, 28–39 (2019).

    ADS  PubMed  Article  PubMed Central  Google Scholar 

  20. 20.

    Schaefer, K. Studies of carbon dioxide toxicity. Dep. Bur. Med. Surgery, Med. Res. Lab. U.S. Nav. Submar. Base 10, 156–189 (1951).

    Google Scholar 

  21. 21.

    Nayak, N. C., Roy, S. & Narayanan, T. K. Pathologic features of altitude sickness. Am. J. Pathol. 3, 381 (1964).

    Google Scholar 

  22. 22.

    West, J. B. Highest Permanent Human Habitation. High Alt. Med. Biol. 3, 401–407 (2004).

    Article  Google Scholar 

  23. 23.

    Storm, W. F. & Giannetta, C. L. Effects of hypercapnia and bedrest on psychomotor performance. Aviat. Space. Environ. Med. 45, 431–433 (1974).

    CAS  Google Scholar 

  24. 24.

    Stinson, J. M. & Mattsson, J. L. Tolerance of Rhesus Monkeys to Graded Increase in Environmental CO2-Serial Changes in Heart Rate and Cardiac Rhythm. Aerosp. Med. 41, 415–418 (1970).

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Knowlton, P. H., Hoover, W. & Poulton, B. R. Effects of high carbon dioxide levels on the nutrition of sheep. J. Anim. Sci. 28, 554–556 (1969).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  26. 26.

    Hoover, W. H., Young, P. J., Sawyer, M. S. & Apgar, W. P. Ovine physiological responses to elevatied ambient carbon dioxide. J. Appl. Physiol. 29, 32–35 (1970).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  27. 27.

    Murray, M. J., Morgan, G. E. & M. S. M. Clinical Anethesiology. (McGraw-Hill, 2002).

  28. 28.

    Dorman, P. J., Sullivan, W. J. & Pitts, R. F. The renal response to acute respiratory acidosis. J. Clin. Invest. 331, 82–90 (1954).

    Article  Google Scholar 

  29. 29.

    Bennett, P. & Rostain, J. C. Inert Gas Narcosis. (Saunders Ltd., 2003).

  30. 30.

    Kantores, C. et al. Therapeutic hypercapnia prevents chronic hypoxia-induced pulmonary hypertension in the newborn rat. Am. J. Physiol. Cell. Mol. Physiol. 291, L912–L922 (2006).

    CAS  Article  Google Scholar 

  31. 31.

    Leconte, J., Forget, F., Charnay, B., Wordsworth, R. & Pottier, A. Increased insolation threshold for runaway greenhouse processes on Earth-like planets. Nature 504, 268–71 (2013).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  32. 32.

    Kopparapu, R. K. et al. Habitable zones around main-sequence stars: Dependence on planetary mass. Astrophys. J. Lett. 787, (2014).

  33. 33.

    Francois, L. M. & Walker, J. Modelling the Phanerozoic carbon cycle and climate: constraints from the 87SR/86SR isotopic ratio of seawater. Am. J. Sci. 292, 81–135 (1992).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  34. 34.

    Berner, R. a. Geological nitrogen cycle and atmospheric N2 over Phanerozoic time. Geology 34, 413 (2006).

    ADS  CAS  Article  Google Scholar 

  35. 35.

    Ramirez, R. M. & Levi, A. The ice cap zone: a unique habitable zone for ocean worlds. Mon. Not. R. Astron. Soc. 477, 4627–4640 (2018).

    ADS  CAS  Google Scholar 

  36. 36.

    Xu, K. M. & Krueger, S. K. Evaluation of cloudiness parameterizations using a cumulus ensemble model. Mon. Weather Rev. 119, 342–367 (1991).

    ADS  Article  Google Scholar 

  37. 37.

    Vladilo, G. et al. The habitable zone of Earth-like planets with different levels of atmospheric pressure. Astrophys. … 767, 1–58 (2013).

    Article  Google Scholar 

  38. 38.

    Gould, S. J. Wonderful life: the Burgess Shale and the nature of history. (WW Norton & Company, 1990).

  39. 39.

    Lopez, B., Schneider, J. & Danchi, W. C. Can Life Develop in the Expanded Habitable Zones around Red Giant Stars? Astrophys. J. 627, 974–985 (2005).

    ADS  CAS  Article  Google Scholar 

  40. 40.

    Yang, J., Boue, G., Fabrycky, D. C. & Abbot, D. S. Strong Dependence of the Inner Edge of the Habitable Zone on Planetary Rotation Rate. Astrophys. J. 787, (2014).

  41. 41.

    Kopparapu, R. kumar et al. Habitable moist atmospheres on terrestrial planets near the inner edge of the habitable zone around M dwarfs. Astrophys. J. 1, (2017).

  42. 42.

    Bin, J., Tian, F. & Liu, L. New inner boundaries of the habitable zones around M dwarfs. Earth Planet. Sci. Lett. 492, 121–129 (2018).

    ADS  CAS  Article  Google Scholar 

  43. 43.

    Luger, R. & Barnes, R. Extreme water loss and abiotic O2 buildup on planets throughout the habitable zones of M dwarfs. Astrobiology 15, 119–143 (2015).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  44. 44.

    James, P. B. & North, G. R. The seasonal CO2 cycle on Mars: An application of an energy balance climate model. J. Geophys. Res. Solid Earth 87, 10271–10283 (1982).

    CAS  Article  Google Scholar 

  45. 45.

    Nakamura, T. & Tajika, E. Climate change of Mars‐like planets due to obliquity variations: implications for Mars. Geophys. Res. Lett. 30, (2003).

  46. 46.

    Yang, J. & Abbot, D. S. A Low-order Model of Water Vapor, Clouds, and Thermal Emission for Tidally Locked Terrestrial Planets. Astrophys. J. 784, 155 (2014).

    ADS  Article  CAS  Google Scholar 

  47. 47.

    Wordsworth, R. et al. Global modelling of the early martian climate under a denser CO2 atmosphere: Water cycle and ice evolution. Icarus 222, 1–19 (2013).

    ADS  CAS  Article  Google Scholar 

  48. 48.

    Williams, D. M. & Kasting, J. F. Habitable moons around extrasolar giant planets. Nature 385, 234–236 (1997).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  49. 49.

    Curry, J. A., Schramm, J. L., Perovich, D. K. & Pinto, J. O. Applications of SHEBA/FIRE data to evaluation of snow/ice albedo parameterizations. J. Geophys. Res. Atmos. 106, 15345–15355 (2001).

    ADS  Article  Google Scholar 

  50. 50.

    Thompson, S. L. & Barron, E. J. Comparison of Cretaceous and present earth albedos: Implications for the causes of paleoclimates. J. Geol. 89, 143–167 (1981).

    ADS  Article  Google Scholar 

  51. 51.

    Fairén, A., Haqq-Misra, J. & McKay, C. Reduced albedo on early Mars does not solve the climate paradox under a faint young Sun. Astron. Astrophys. 540, 1–5 (2012).

    ADS  Article  CAS  Google Scholar 

  52. 52.

    Ramirez, R. M. et al. Warming early Mars with CO2 and H2. Nat. Geosci. 7, 59–63 (2014).

    ADS  CAS  Article  Google Scholar 

  53. 53.

    Ramirez, R. M., Kopparapu, R. K., Lindner, V. & Kasting, J. F. Can increased atmospheric CO2 levels trigger a runaway greenhouse? Astrobiology 14, 714–31 (2014).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  54. 54.

    Rothman, L. S. et al. The HITRAN2012 molecular spectroscopic database. Science (80-.). 130, 4–50 (2013).

    CAS  Google Scholar 

  55. 55.

    Rothman, L. S. et al. HITEMP, the high-temperature molecular spectroscopic database. J. Quant. Spectrosc. Radiat. Transf. 111, 2139–2150 (2010).

    ADS  CAS  Article  Google Scholar 

  56. 56.

    Perrin, M. Y. & Hartmann, J. Temperature-Dependent Measurements and Modeling of Absorption by CO2-N2 mixtures in the far line-wings of the 4.3 micron CO2. band. J. Quant. Spectrosc. Radiat. Transf. 42, 311–317 (1989).

    ADS  CAS  Article  Google Scholar 

  57. 57.

    Paynter, D. J. & Ramaswamy, V. An assessment of recent water vapor continuum measurements upon longwave and shortwave radiative transfer. J. Geophys. Res. 116, D20302 (2011).

    ADS  Article  CAS  Google Scholar 

  58. 58.

    Gruszka, M. & Borysow, A. Roto-Translational Collision-Induced Absorption of CO2for the Atmosphere of Venus at Frequencies from 0 to 250 cm− 1, at Temperatures from 200 to 800 K. Icarus 129, 172–177 (1997).

    ADS  CAS  Article  Google Scholar 

  59. 59.

    Gruszka, M. & Borysow, A. Computer simulation of the far infrared collision induced absorption spectra of gaseous CO2. Mol. Phys. 93, 1007–1016 (1998).

    ADS  CAS  Article  Google Scholar 

  60. 60.

    Baranov, Y. I., Lafferty, W. J. & Fraser, G. T. Infrared spectrum of the continuum and dimer absorption in the vicinity of the O2 vibrational fundamental in O2/CO2 mixtures. J. Mol. Spectrosc. 228, 432–440 (2004).

    ADS  CAS  Article  Google Scholar 

  61. 61.

    Wordsworth, R., Forget, F. & Eymet, V. Infrared collision-induced and far-line absorption in dense CO2 atmospheres. Icarus 210, 992–997 (2010).

    ADS  CAS  Article  Google Scholar 

  62. 62.

    Thekaekara, M. P. Solar energy outside the earth’s atmosphere. Sol. energy 14, 109–127 (1973).

    ADS  Article  Google Scholar 

  63. 63.

    Allard, F. et al. Proc. IAU Symp. 211. in Brown Drawrfs 325 (2003).

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Acknowledgements

R.M.R. acknowledges funding from the Earth-Life Science Institute (ELSI) and also from the National Institutes of Natural Sciences: Astrobiology Center (grant number JY310064). R.M.R. enjoyed discussions with Lisa Kaltenegger on the limits of complex life. R.M.R. appreciated Midoshi’s discussion of CO2 limits and also acknowledges discussions with Georgi Karov and Adam Crowl. Lastly, this manuscript benefited from the constructive criticism of 3 anonymous reviewers.

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Ramirez, R.M. A Complex Life Habitable Zone Based On Lipid Solubility Theory. Sci Rep 10, 7432 (2020). https://doi.org/10.1038/s41598-020-64436-z

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