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Detection of pre-industrial societies on exoplanets

Published online by Cambridge University Press:  11 December 2020

Andrew Lockley
Affiliation:
The Bartlett, UCL Faculty of the Built Environment, 22 Gordon Street, London WC1H 0QB, UK
Daniele Visioni
Affiliation:
Sibley School for Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA
Corresponding
E-mail address:
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Abstract

Approximately 22% of sun-like stars have Earth-like exoplanets. Advanced civilizations may exist on these, and significant effort has been expended on the theoretical analysis of planetary systems, and accompanying practical detection instruments.

The longevity of technological civilizations is unknown, as is the probability of less advanced societies becoming technological. Accordingly, searching for pre-industrial extra-terrestrial societies may be more productive.

Using the earth as a model, a consideration of possible detectible proxies suggests that observation of seasonal agriculture may be possible in the near future – particularly in ideal circumstances, for which quantitative analysis is provided. More speculatively, other detectible processes may include: species introduction; climate change; large urban fires and land-use or aquatic changes.

Primitive societies may be both aware that their activities may be observed from other planets, and may deliberately adjust these activities to aid or conceal detection.

Type
Research Article
Copyright
Copyright © The Author(s) 2020. Published by Cambridge University Press

Introduction

Prevalence of non-technological societies

Taking the Earth as a model planet, we find that technological (radio-capable) civilization has existed for of the order of a century (Circkovic, 2007; Penny, Reference Penny, Vakoch and Harrison2011), whilst agrarian societies have existed for around 10 000 years (Johnson and Earle, Reference Johnson and Earle2000). While the industrial era is typically characterised by the adoption of heat engines, facilitating mechanised mass manufacture and transport, astronomers may regard radio-capable civilization as being the temporal marker of industrialization, due to its importance for interstellar communication.

Humankind has been altering the environment for a period many times longer (Gillespie, Reference Gillespie2008), such as by hunting megafauna to extinction, and burning scrub.

When compared to a search for technological societies as short-lived as our own, regarding Earth's scenario as typical would suggest that capable detection technologies would offer up to 100× more opportunities to investigate agrarian societies than their technological counterparts. Furthermore, there would be additional opportunities to investigate primitive societies – although the lack of a clear start date for environmentally modifying primitive societies means it is difficult to offer a comparable factor. Nevertheless, an additional order of magnitude is a feasible estimate – potentially giving timescales around 1000× longer than for our radio-capable civilization, if detection of the most primitive societies were possible.

If technological civilizations are typically long-lasting – or cyclical (Roberts, Reference Roberts1968) – the suggested 100 × figure will be too high. Conversely, this figure will be too low if more primitive societies are frequently:

  1. (1) destroyed before industrialisation (e.g. by war, disease or natural disasters);

  2. (2) unable to industrialise (due to e.g. lack of metal ores or fire-compatible environments; cognitive restrictions or cultural constraints).

Identification of proxies

Detection of pre-industrial societies on exoplanets can be considered by using Earth as a model – with due consideration of the risk of overlooking alien life of unfamiliar forms. Regarding earth processes as typical may result in a concerted search for only a very small subset of detectable extra-terrestrial societies. However, detailed consideration of Earth's history and prehistory offers an opportunity to explore a broad range of proven proxies for intelligent life. By contrast, extending this process to radically different imagined life-forms – e.g. eusocial, liquid-methane dwelling octopodes with a millennial lifecycle; sentient and sophisticated mycorrhizal networks; or ultra-fast, ultra-dense life forms living on neutron stars (as imagined by Forward, Reference Forward1980) – would be highly speculative, and would not readily produce a workable list of target proxies. Nevertheless, we note particularly that intelligence may evolve in:

  1. 1. aquatic environments unsuitable for industrial society (cephalopods and cetaceans offering examples of such animal intelligence, on earth);

  2. 2. cold, organic biospheres – such as postulated for Titan – where life chemistry may be very different from earth's, and biological activity (and resulting movement) very much slower.

Application of appropriate detection methods to planets that differ significantly from Earth is possible – as they may still be able to develop earth-like societies. For example, planets may have much smaller oceans, orbit different types of stars, be tidally locked or differ substantially in size from the Earth (Orosz et al., Reference Orosz, Welsh, Carter, Fabrycky, Cochran, Endl and Borucki2012). Such techniques could additionally aid discovery of societies on exomoons. Nevertheless, this paper specifically considers only societies that might be regarded as broadly Earth-like – i.e. with terrestrial aliens, on planets with atmospheres and a hydrological cycle. For clarity, the term ‘anthropogenic’ is used in this document to include intelligent extra-terrestrials.

Instrumentation methodologies

Various methodologies have been suggested to investigate exoplanets, and to narrow down the search for potentially life-supporting planets (Segura et al., 2003, 2005; Beichman et al., 2004; Herbst & Leger, 2007). Typically, this does not involve the direct spatial optical resolution of exoplanets, as a planet in a resolvable orbit would ordinarily be too far from its star to sustain Earth-like life (Biller, Reference Biller2013). Other techniques used or proposed include: transit spectroscopy (Charbonneau et al., Reference Charbonneau, Brown, Noyes and Gilliland2002; Kreidberg, Reference Kreidberg, Deeg and Belmonte2018), to detect absorption bands in planetary atmospheres; spectropolarimetry (Mohler et al., Reference Mohler, Bühl, Doherty, Eggl, Eybl, Farago and Tió2010; Sterzik et al., Reference Sterzik, Bagnulo and Palle2012; Fossati et al., Reference Fossati, Rossi, Stam, Muñoz, Berzosa-Molina, Marcos-Arenal and Godolt2019), and similar scattering-based techniques (Lattanzi et al., Reference Lattanzi, Casertano, Jancart, Morbidelli, Pourbaix, Pannunzio, Sozzetti, Spagna, Turon and O'Flaherty2005), to detect aerosols (such as smoke particles or clouds); reflected light monitoring (glint) (Bailey, Reference Bailey2007; Belu et al., Reference Belu, Selsis, Morales, Ribas, Cossou and Rauer2010, Batalha et al., Reference Batalha, Marley, Lewis and Fortney2019); or direct light observation (Konopacky et al., Reference Konopacky, Barman, Macintosh, Marois and Savransky2015; Birkby, Reference Birkby, Deeg and Belmonte2018), to view planets (albeit with the problematic confounder of starlight). Combinations of methods, together with increases in resolution and improvements in the frequency of observations, will improve observational capabilities in the coming decades (Fujii et al., Reference Fujii, Angerhausen, Deitrick, Domagal-Goldman, Grenfell, Hori, Kane, Pallé, Rauer, Siegler, Stapelfeldt and Stevenson2018).

Time-series interpolation

Some astronomical or planetary processes can best be understood by aggregating the data from various specimens, each at different stages of an overall life cycle. These disparate examples can then be interpolated into a model life cycle. This technique may be used for reconstructing everything from the origin and fate of stars (Henderson and Stassun, Reference Henderson and Stassun2012), to the developmental stages of extinct fossil animals. Assuming that observation of a substantial number of extra-terrestrial civilizations on exoplanets is possible, it may be possible to detect common patterns of development – thus potentially permitting reconstruction of typical civilization life cycles, despite these involving entirely separate alien life forms. Many of the detectable phenomena discussed below may only become statistically meaningful when observed over a large number of planets, or for extended periods of time. This technique would only work if similarly-developing extra-terrestrial societies are common throughout the galaxy.

Detectable phenomena

Urban fires

Detection of light produced directly from urban lighting has been proposed (Loeb and Turner, Reference Loeb and Turner2012). In pre-industrial societies, widespread street lighting would likely be combustion-based (although chemoluminescence is possible), and would therefore be of sufficiently low intensity that interplanetary detection would be implausible. However, the Great Fire of London shows that large urban fires are possible. The light output from such fires would be many orders of magnitude brighter than that from combustion-based street lighting, of similar area Fig. 1.

Fig. 1. Illustration of a series of terrestrial events, potentially detectable at interstellar distances with future technologies.

Large fires are necessarily easier to detect than small fires. However, pre-industrial cities were generally small in size, limited by their agricultural hinterlands and resultant transport networks. Furthermore, urban fires may be instantaneously limited in size, even as they spread through the urban environment. Any very large pre-industrial city would likely require a waterborne transport network (Chant & Goodman, 2005), which would itself reduce the likelihood that fires would become extensive (both by providing firebreaks and offering a ready supply of water for extinguishing fires).

It is postulated that (particularly in the event of military action, terrorism or similar) a widespread or multi-seat urban fire could exist on such a scale as to be directly observed at interplanetary distances, given a very large city (or network of cities).

Proving a fire to be urban, as opposed to a wildfire, is problematic. Indeed, it is likely that wildfires are ordinarily far larger than urban fires (Williams, Reference Williams1982). Nevertheless, it is possible that an urban fire may occur on a planet that is either rainy or has fire-resistant vegetation – thus allowing the isolation of any urban fires as atypical for that planet. However, this leaves the difficulty of distinguishing urban fires from infrequent wildfires. This type of detection would require long observation periods, or the simultaneous observation of large numbers of target planets; colossal urban fires are presumed to be generally rare (decadal to centurial, and longer on sparsely-populated or primitive planets with few cities).

Conceivably, the combustion products of large urban fires may differ from those of natural fires:

  1. (1) Combustion gas spectroscopic characteristics, or aerosol spectropolarimetric properties may differ from those of natural fires – potentially due to drier combustion material, or the different temperature and oxygen levels in urban fires (Fields et al., Reference Fields, Cole, Summers, Yalcintas and Vaughan1989).

  2. (2) Some specific artificial (but pre-industrial) substances may have combustion products that may be detectable through transit spectroscopy (e.g. from burned paints, leathers etc.) (DeHaven, Reference DeHaven1958).

However, these differences would naturally be minimised in pre-industrial societies – in which the predominant sources of flammable materials would presumably be plant- or animal-based. These would consequently mimic the signatures of natural burning – save for their dry state, which may result in detectibly different combustion products (Brode and Small, Reference Brode, Small, Solomon and Marston1986) – albeit likely in small quantities. However, these combustion signatures are not necessarily distinguishable from dry materials in desiccated natural environments. The accurate distinction of urban fires from natural ones would therefore ideally require a number of large urban fires to occur on a single planet. This would require long observation periods or the chance observation of a period of severe conflict.

Land use change

The dawn of farming is associated with land surface changes resulting from the rise of agriculture and pastoralism (Marshall, Reference Marshall2020) – i.e. substituting grasslands and forests with croplands and pastures (Lambin et al., Reference Lambin, Turner, Geist, Agbola, Angelsen, Bruce, Coomes, Dirzo, Fischer, Folke, George, Homewood, Imbernon, Leemans, Li, Moran, Mortimore, Ramakrishnan, Richards, Skånes, Steffen, Stone, Svedin, Veldkamp, Vogel and Xu2001), species introduction (Reidsma et al., Reference Reidsma, Tekelenburg, van den Berg and Alkemade2006), or fire-clearance (although this pre-dates formal agriculture). These are all processes that can be observed with the use of remote sensing methods, through the changes in surface albedo they produce (Boisier et al., Reference Boisier, de Noblet-Ducoudré and Ciais2013; Wang et al., Reference Wang, Schaaf, Kim, Erb, Román, Yang, Taylor, Masek, Morisette, Zhang and Shirley2017). Fires may be detected by other methods, as previously described.

The spread of human societies into new areas has often been accompanied by land-use change, predominantly for agricultural use, or to optimise hunting lands. This involves a variety of processes: forest clearance (Clark, Reference Clark1947; Clement and Horn, Reference Clement and Horn2001); irrigation (Clark, Reference Clark1947; Doolittle, Reference Doolittle2014); scrub burning (Ryan et al., Reference Ryan, Knapp and Varner2013), marsh drainage (Menotti, Reference Menotti2012) etc., whilst such changes are significant at a local scale, they would have to be continental in scale to have a realistic chance of being detected at interplanetary distances. Fortunately, the historical and prehistorical record on earth offers examples – e.g. the European colonization of the New World, and the much earlier arrival of humans in Australia. The migration of settlers from Western Europe triggered rapid changes in the land-use of the Americas. Firstly, introduced diseases contributed to the collapse of existing civilizations (King, Reference King2015), which resulted in the rewilding of farmlands. Then, as more settlers arrived and spread, the land was manipulated by controlled grazing and cultivation – resulting in a very different pattern of land-use than was previously the case. Similarly, in Australia, the landscape was shaped by fire (Bowman, et al., Reference Bowman, Walsh and Prior2004) and by hunting of megafauna (Johnson, Reference Johnson2005). These changes may have occurred around 10× as long ago as the rise of agriculture – and, conceivably, could have been practised to a detectable extent by archaic hominins.

Both expansion and contraction of societies may affect land-use. Pandemics (Little, Reference Little2007), migration (Conn et al., Reference Conn, Segura, Wilkerson, Schlichting, Póvoa, Wirtz and de Souza2002), war (Van et al., Reference Van, Wilson, Thanh-Tung, Quisthoudt, Quang-Minh, Xuan-Tuan and Koedam2015), genocide (Robinson et al., Reference Robinson, Boardman, Evans, Heppell, Packman, Leeks and Acreman2000), continental discovery (Sandor et al., Reference Sandor, Bettelheim and Swingland2002) etc., have all driven land-use change in human history and pre-history. In modern times, there have been more subtle changes, due to increasing concentrations of CO2 in the atmosphere (Zhu et al., Reference Zhu, Piao and Myneni2016). Use of artificial fertilizers has resulted in a widespread greening (Johansson et al., Reference Johansson, Hall, Prentice, Ihse, Reitalu, Sykes and Kindström2008). There has also been an accompanying increase in eutrophication (Jørgensen and Richardson, Reference Jørgensen and Richardson1996), and an extension of ocean dead zones (Gupta, Reference Gupta2015), which provide alternative proxies. Some of these changes, such as the mining of near-surface coal seams (Dodson et al., Reference Dodson, Li, Sun, Atahan, Zhou, Liu and Yang2014) and the utilisation of phosphate fertilizers (Rutherford et al., Reference Rutherford, Dudas and Samek1994), can conceivably be conducted at scale by pre-industrial societies.

Resulting continental-scale changes in reflected or absorbed spectra, and observed aerosol proxies, would likely emerge on centurial or millennial timescales – requiring extended or parallel observation. Such signals would be difficult to distinguish from natural ecosystem changes. Aggregate analysis of a number of planets may be required to extract an amount of data sufficient to justify any robust conclusions. Notably, changes in levels of greenhouse gases may result from pre-industrial land-use change (e.g. deforestation) (Pielke et al., Reference Pielke, Marland, Betts, Chase, Eastman, Niles and Running2002) – and these are potentially capable of detection at interstellar distances (see section ‘Climate change and fossil fuel use’).

More speculatively, the deliberate creation of huge geoglyph monuments cannot be ruled out. Much as the Nazca lines are visible from the air, greatly amplified versions of this phenomenon could conceivably be detectable at interstellar distances. Such monuments could be created by modifying the landscape surface, or the distribution of dyes. In deserts, such modifications may be persistent. This concept stretches both the capacity for creation and detection to its limit. Notably, such monuments may be created incidentally, or with the deliberate intention of communication; speculative consideration of extra-terrestrial life pre-dates industrialisation by centuries (Scharf, Reference Scharf2019); this discussion continued as astronomy and science developed at around the time of the industrial revolution (Crowe, Reference Crowe1986). Similarly, a reverse process is possible – where civilization may take care to reduce or disguise detectable signs of their society's existence or activities.

Introduced species and extinctions

The effect on natural biota as a result of the introduction of invasive species is comparable to anthropogenic land-use change. Modifying species, such as beavers (Anderson et al., Reference Anderson, Griffith, Rosemond, Rozzi and Dollenz2006); predators, such as rats (Abdelkrim et al., Reference Abdelkrim, Pascal, Calmet and Samadi2005); or the pathogens and vectors responsible for plant diseases like Dutch Elm Disease (Castello et al., Reference Castello, Leopold and Smallidge1995), have often resulted in rapid ecosystem changes. Conceivably, a change may have a very broad impact on a biome scale – e.g. instigating a transition from deciduous to coniferous woodland. In that example, winter loss of leaves may be detectable, by looking for seasonal changes in leaf cover. This can be achieved by observing the particular optical signature of chlorophyll, or other light-harvesting molecules; or alternatively by looking for the winter signature of bare ground, or snow.

Whilst these changes are conducted by natural processes, they are triggered by an anthropogenic event. Conclusions in the section on ‘Land use change’ therefore also apply to the effects of introduced species. Such signals would be particularly useful in conjunction with other indicators of expanding civilization.

Such effects may also apply to bodies of open water, as well as the land surface. An extra-terrestrial world could be imagined, in which oceans were separated and radically different. For example, a planet may have two large oceans, only one of which has surface photosynthetic life (e.g. azolla). Any anthropogenic activity that transferred photosynthetic species from one ocean to the other would trigger potentially-detectable changes over a number of timescales, as the introduced species spread: annual blooms (Platt et al., Reference Platt, White, Zhai, Sathyendranath and Roy2009), a decadal increase of extent, and longer-term planetary biogeochemical change (Asner and Vitousek, Reference Asner and Vitousek2005). Notably, spectropolarimetry may be particularly useful for monitoring the presence or characteristics of oceans of exoplanets – due to the polarisation of light reflected from the ocean surface. Additionally, ocean processes (aerosols and gas release) influence cloud formation – giving another route to detect ocean changes.

The opposite of species introduction is extinction. Whilst the introduction of pathogens (as briefly discussed above) is one possible cause, there are many other reasons for extinction. The loss of megafauna species to hunting has been strongly associated with human expansion – particularly in prehistoric times (Duncan et al., Reference Duncan, Blackburn and Worthy2002). More modern analogues exist in the near-extinction of the American bison (Taylor, Reference Taylor2011) – which is a component of the New World changes discussed. In all such cases, it is at least conceivable that ecosystem changes from comparable events could be detectable at interplanetary distances – provided that these were both pronounced, and continental in scale. To give a specific example: the loss of large grazing animals may result in the conversion of grassland to the forest (Gibson and Brown, Reference Gibson and Brown1991). As described above, such a transition may be detectable by leaf colour, seasonal fall, or the presence of monoterpene hazes (Kerr and Ostrovsky, Reference Kerr and Ostrovsky2003).

Seasonal agricultural changes

Large-scale agricultural monocultures have specific optical signatures. Ploughing, growing, flowering, ripening and harvesting are all potentially detectable – and highly temporally reliable. The more extensive a monoculture, the larger the signal would be. A planet with a wheat monoculture would transition from a near-white ripened crop to near-black bare earth (Lobell et al., Reference Lobell, Asner, Ortiz-Monasterio and Benning2003), accompanying the harvesting and ploughing season. As discussed above, a sudden loss of chlorophyll-containing surface vegetation would potentially be observable. By contrast, natural ecosystem processes rarely expose extensive bare soil in a sudden change, nor would they result in a sudden loss of surface chlorophyll (fires and snow excepted). However, careful parameterisation of leaf fall changes would be required, to demonstrate clear and detectable differences from ploughing events. Comparably, a canola crop would have vivid yellow flowers in season (Rabe, Reference Rabe2003). On a planet with extensive continents and pervasive monocultures, the agricultural cycle would offer a potentially strong signal, which is robustly periodic over annual timescales. However, other planets may lack strong annual seasonality, so such periodicity is not guaranteed.

Albedo changes due to harvesting would only be a function of the fraction of the planet covered in the land (LFRAC), the fraction of land covered by the crop (LCROP) and the changes in albedo before and after harvest (dA). Assuming a change in albedo as high as 0.2 (Davin et al., Reference Davin, Seneviratne, Ciais, Olioso and Wang2014; Seneviratne et al., Reference Seneviratne, Phipps, Pitman, Hirsch, Davin, Donat, Hirschi, Lenton, Wilhelm and Kravitz2018) and the conditions of a single supercontinent covering 50% of the planet completely covered in the same crop, this yields a potentially measurable change in the albedo of around 10%. This figure depends on the precise position of the continent, and the geometry of the planet's position relative to its sun and the human observer.

With the European Space Agency-Switzerland optical photometric space mission CHaracterizing ExOPlanet Satellite (CHEOPS) (Cessa et al., Reference Cessa, Beck, Benz, Broeg, Ehrenreich, Fortier, Peter, Magrin, Pagano, Plesseria, Steller, Szoke, Thomas, Ragazzoni and Wildi2017), Serrano et al. (Reference Serrano, Barros, Oshagh, Santos, Faria, Demangeon, Sousa and Lendl2018) reported that it would be possible to detect the albedo of a planet depending on the ratio of its radius compared to that of its star. In particular, they report that an albedo similar to that of the Earth is detectable when this ratio exceeds 0.04, but the noise level remains too high to determine a 10% change in albedo for a radius up to 0.07. This ratio for the Earth is <0.0092. Currently, the largest candidate to have been found with a density similar to the Earth has been Kepler 10c, with a radius 2.32 times bigger than the Earth (Rajpaul et al., Reference Rajpaul, Buchhave and Aigrain2017); current satellite capabilities would not be capable of resolving such a change, given a star like our Sun. Smaller stars, however, such as M-Dwarf stars (Red Dwarf), could present a chance at detection. This kind of star, which accounts for 85% of all stars in the Milky Way, would tend to have tidally locked orbiting planets (Kasting et al., Reference Kasting, Whitmire and Reynolds1993) – meaning that any seasonality would not arise from comparable mechanisms to that found on earth. While this could make the emergence of plant-like life harder than around Sun-like stars, recent results have shown that atmospheric collapse in the presence of tidal locking may not happen (Merlis and Schneider, Reference Merlis and Schneider2010); more complex life might indeed be possible (Tarter et al., Reference Tarter, Backus, Mancinelli, Aurnou, Backman, Basri and Young2007), and detectable seasons would still occur if the orbit of the planet is not circular. In this case, considering that the size of M-dwarf stars lies between 0.1 and 0.6 Sun radii, detection might be possible with current capabilities for Earth-sized planets if the star lies at the lower end of the spectrum. Dragomir et al. (Reference Dragomir, Teske, Günther, Ségransan, Burt, Huang and Stassun2019) detected an Earth-sized planet orbiting such a star, but its closeness to the star makes it unsuitable for life. Future planned missions (such as the PLAnetary Transits and Oscillations of stars PLATO – Catala, Reference Catala2008) might lower the detectability threshold further.

While white dwarfs would also be good candidates for this kind of detection – given their small size and dimness – the red giant phase of their evolution tends to destroy close-orbiting planets (Villaver and Livio, Reference Villaver and Livio2009). It is therefore unlikely that anything but cold and distant planets will remain in their orbit (Vanderburg et al.,Reference Vanderburg, Rappaport, Xu, Ian, Crossfield, Becker, Gary, Murgas, Blouin, Kaye, Palle, Melis, Morris, Kreidberg, Gorjian, Morley, Mann, Parviainen, Pearce, Newton, Carrillo, Zuckerman, Nelson, Zeimann, Brown, Tronsgaard, Klein, Ricker, Vanderspek, Latham, Seager, Winn, Jenkins, Adams, Benneke, Berardo, Buchhave, Caldwell, Christiansen, Collins, Colón, Daylan, Doty, Doyle, Dragomir, Dressing, Dufour, Fukui, Glidden, Guerrero, Guo, Heng, Henriksen, Huang, Kaltenegger, Kane, Lewis and Lissauer2000), although the possibility of smaller planets remaining cannot be completely excluded (Barnes and Heller, Reference Barnes and Heller2013).

Beyond the direct optical detection of agricultural land manipulation, there is a possibility of detecting secondary outputs of agriculture. Stubble burning was extensive in the UK until outlawed (Clapp, Reference Clapp2014). If such burning was planetary in scale, atmospheric smoke loading may be observable (Smith et al., Reference Smith, Adams, Maier, Craig, Kristina and Maling2007), e.g. via spectropolarimetry. Again, combustion products could potentially be distinguished from those of natural fires – meaning that the type of smoke, and not merely its extent, could be used as a detection strategy. Methane produced by ruminants may also constitute a detectable agricultural proxy (see section ‘Climate change and fossil fuel use’).

Climate change and fossil fuel use

Climate change may be caused by the exploitation of carbon-rich fossil fuels, which were extracted before the industrial era (Low Tech, 2011; Pirani, Reference Pirani2018).

Climate change can also be caused by the expansion of the number of ruminant livestock (Ripple et al., Reference Ripple, Smith, Haberl, Montzka, McAlpine and Boucher2013), and land-use change (Flannery, Reference Flannery2005). Climate change can potentially be detected at interstellar distances, e.g. by using the secondary eclipse method (Baskin et al., Reference Baskin, Knutson, Burrows, Fortney, Lewis, Agol and Showman2013), as well as the measurement of greenhouse gas concentrations, as previously discussed.

Whilst we associate climate change with the industrial era on earth, it is potentially possible that different geologies may facilitate sudden, large-scale exploitation of fossil fuel resources. For example, if settlement of the Americas was accompanied by discovery and exploitation of large and easily-accessible fossil fuels reserves, a scenario is conceivable where detectable climate change was a result – without assuming industrialisation.

Separately from climate change, direct signs of fossil fuels combustion may be detected. For example, the use of such fuels on earth is associated with mercury and sulphur pollution, as well as smoke. Pre-industrial fossil fuel use, particularly in colder climates, was predominantly for heating. This offers a potentially detectable seasonal cycle.

Conclusions

A number of pre-industrial anthropogenic processes are possible models for comparable processes on exoplanets. These processes may be detectable at interplanetary distances. The challenge is not only observation per se, but the disentanglement of signals of anthropogenic activity from those arising from natural processes.

This paper suggests the following anthropogenic phenomena – and the possible detectable proxy signals that may result – as possible candidates for detection:

  1. (1) Urban fires: direct optical detection of flame; detection of smoke by spectropolarimetry; transit spectroscopy to detect non-natural combustion products. Fires are sporadic and unpredictable. Additionally, the signal is likely to be small, and hard to separate from natural events. Furthermore, continuous observation of target planets would be required to detect such a transient phenomenon.

  2. (2) Land-use or aquatic change: spectroscopy of sunlight reflected from the planet surface under ecosystem change, caused by expansion/contraction of the cultivated area; spectropolarimetry or spectrophotometry of smoke from clearance fires etc. Equivalent aquatic changes are possible. Additionally, indirect effects – such as changes to cloud cover – may be observed. The principal limitation is the long time period needed for observation and the lack of repeatability on a single planet.

  3. (3) Introduced species: our conclusions from land-use change apply generally to this potential observation target. We note that effects resulting from species introduction are likely to accompany other land-use changes; the observational challenges are similar, and the signals potentially difficult to distinguish. (N.B. Marine introductions are also possible.)

  4. (4) Seasonal agricultural practices: spectroscopy of reflected sunlight in ploughing/harvesting; detection of smoke by spectropolarimetry. This combines potentially-large signals with potentially-regular repetition, and is hence the favoured candidate for systematic detection. However, considering the likely differences expected as a result of defined ploughing and/or burning activities, it may be difficult to distinguish from natural biological cycles – e.g. seasonal leaf fall. This paper offers quantitative evidence that idealised agriculture may be observable, were seasonal agriculture to exist on planets orbiting Red Dwarf stars.

  5. (5) Climate change: spectroscopy of greenhouse gases, direct observation of temperature changes; direct observation of combustion products. In the case of pre-industrial societies, this would likely involve long observation periods (multiple decades, to centuries). Furthermore, the resulting signal is likely to be, on average, smaller than that of comparable industrial societies.

In summary, it is suggested that a thorough evaluation be made of the opportunities to detect seasonal agriculture on exoplanets and exomoons, whilst keeping an open mind on the search for the other, less promising proxies identified.

Acknowledgements

Thanks are due to Jacob Haqq-Misra, for patiently, persistently and intelligently challenging the claims in this paper; and to Fizza Batool, for searching out an abundance of supporting literature (a challenging task, given the subject matter).

References

Abdelkrim, J, Pascal, M, Calmet, C and Samadi, S (2005) Importance of assessing population genetic structure before eradication of invasive species: examples from insular Norway rat populations. Conservation Biology 19, 15091518.CrossRefGoogle Scholar
Anderson, CB, Griffith, CR, Rosemond, AD, Rozzi, R and Dollenz, O (2006) The effects of invasive North American beavers on riparian plant communities in Cape Horn, Chile. Biological Conservation 128, 467474.CrossRefGoogle Scholar
Asner, GP and Vitousek, PM (2005) Remote analysis of biological invasion and biogeochemical change. Proceedings of the National Academy of Sciences 102, 43834386.CrossRefGoogle ScholarPubMed
Bailey, J (2007) Rainbows, polarization, and the search for habitable planets. Astrobiology 7, 320332.CrossRefGoogle ScholarPubMed
Barnes, R and Heller, R (2013) Habitable planets around white and brown dwarfs: the perils of a cooling primary. Astrobiology 13, 279291.CrossRefGoogle Scholar
Baskin, NJ, Knutson, HA, Burrows, A, Fortney, JJ, Lewis, NK, Agol, E, … Showman, AP (2013) Secondary eclipse photometry of the exoplanet WASP-5b With WARMSPITZER. The Astrophysical Journal 773, 124.CrossRefGoogle Scholar
Batalha, NE, Marley, MS, Lewis, NK and Fortney, JJ (2019) Exoplanet reflected-light spectroscopy with PICASO. The Astrophysical Journal 878, 70.CrossRefGoogle Scholar
Beichman, C, Gómez, G, Lo, M, Masdemont, J and Romans, L (2004) Searching for life with the terrestrial planet finder: Lagrange point options for a formation flying interferometer. Advances in Space Research 34, 637644.CrossRefGoogle Scholar
Belu, AR, Selsis, F, Morales, J-C, Ribas, I, Cossou, C and Rauer, H (2010) Primary and secondary eclipse spectroscopy with JWST: exploring the exoplanet parameter space. Astronomy & Astrophysics 525, A83.CrossRefGoogle Scholar
Biller, B (2013) Detecting and characterizing exoplanets with direct imaging: past, present, and future. Proceedings of the International Astronomical Union 8, 111.CrossRefGoogle Scholar
Birkby, JL (2018) Spectroscopic direct detection of exoplanets. In Deeg, H and Belmonte, J (eds). Handbook of Exoplanets. Cham: Springer. doi:14851508. 10.1007/978-3-319-55333-7_16.CrossRefGoogle Scholar
Boisier, JP, de Noblet-Ducoudré, N and Ciais, P (2013) Inferring past land use-induced changes in surface albedo from satellite observations: a useful tool to evaluate model simulations. Biogeosciences 10(3), 15011516. http://dx.doi.org/10.5194/bg-10-1501-2013.CrossRefGoogle Scholar
Bowman, DMJS, Walsh, A and Prior, LD (2004) Landscape analysis of aboriginal fire management in Central Arnhem Land, north Australia. 31(2), 207–223. 10.1046/j.0305-0270.2003.00997.x.CrossRefGoogle Scholar
Brode, HL and Small, RD (1986) A review of the physics of large urban fires. In Solomon, F, Marston, RQ and Institute of Medicine (US) Steering Committee for the Symposium on the Medical Implications of Nuclear War (eds), The medical implications of nuclear war. Washington, D.C.: National Academics, pp. 7395.Google Scholar
Castello, JD, Leopold, DJ and Smallidge, PJ (1995) Pathogens, patterns, and processes in forest ecosystems. BioScience 45, 1624.CrossRefGoogle Scholar
Catala, C (2008) PLATO: pLAnetary transits and oscillations of stars. Experimental Astronomy 23, 329356.CrossRefGoogle Scholar
Cessa, V, Beck, T, Benz, W, Broeg, C, Ehrenreich, D, Fortier, A, Peter, G, Magrin, D, Pagano, I, Plesseria, J.-Y, Steller, M, Szoke, J, Thomas, N, Ragazzoni, R and Wildi, F (2017) CHEOPS: a space telescope for ultra-high precision photometry of exoplanet transits. Proc. SPIE 10563, International Conference on Space Optics — ICSO 2014, 105631L (17 November 2017).Google Scholar
Chant, C and Goodman, D (2005) Pre-Industrial Cities and Technology. London: Taylor&Francis. doi:10.4324/9780203984376.CrossRefGoogle Scholar
Charbonneau, D, Brown, TM, Noyes, RW and Gilliland, RL (2002) Detection of an extrasolar planet atmosphere. The Astrophysical Journal 568, 377384.CrossRefGoogle Scholar
Clapp, BW (2014) Environmental History of Britain Since the Industrial Revolution, An. London: Taylor&Francis. doi:10.4324/9781315843827.Google Scholar
Clark, G (1947) X. Forest clearance and prehistoric farming. The Economic History Review a17, 4551.CrossRefGoogle Scholar
Clement, RM and Horn, SP (2001) Pre-Columbian land-use history in Costa Rica: a 3000-year record of forest clearance, agriculture and fires from Laguna Zoncho. The Holocene 11, 419426.CrossRefGoogle Scholar
Conn, JE, Segura, MNO, Wilkerson, RC, Schlichting, CD, Póvoa, MM, Wirtz, RA and de Souza, RTL (2002) Emergence of a new neotropical malaria vector facilitated by human migration and changes in land use. The American Journal of Tropical Medicine and Hygiene 66, 1822.CrossRefGoogle ScholarPubMed
Crowe, MJ (1986) The Extraterrestrial Life Debate 1750-1900. Cambridge: Cambridge University Press, ISBN 978-0486406756.Google Scholar
Davin, EL, Seneviratne, SI, Ciais, P, Olioso, A and Wang, T (2014) Preferential cooling of hot extremes from cropland albedo management. Proceedings of the National Academy of Sciences 111, 97579761.CrossRefGoogle ScholarPubMed
DeHaven, JC (1958) A commentary on fire research. In Methods of Studying Mass Fires: Second Fire Research Correlation Conference. Washington, D.C.: National Academics, pp. 10.Google Scholar
Dodson, J, Li, X, Sun, N, Atahan, P, Zhou, X, Liu, H, … Yang, Z (2014) Use of coal in the Bronze Age in China. The Holocene 24, 525530.CrossRefGoogle Scholar
Doolittle, WE (2014) Canal Irrigation in Prehistoric Mexico: The Sequence of Technological Change. Austin, TX: University of Texas Press.Google Scholar
Dragomir, D, Teske, J, Günther, MN, Ségransan, D, Burt, JA, Huang, CX, … Stassun, KG (2019) TESS Delivers its first earth-sized planet and a warm Sub-Neptune. The Astrophysical Journal 875, L7.CrossRefGoogle Scholar
Duncan, RP, Blackburn, TM and Worthy, TH (2002) Prehistoric bird extinctions and human hunting. Proceedings of the Royal Society of London. Series B: Biological Sciences 269, 517521.CrossRefGoogle ScholarPubMed
Fields, DE, Cole, LL, Summers, S, Yalcintas, MG and Vaughan, GL (1989) Generation of aerosols by an urban fire storm. Aerosol Science and Technology 10, 2836.Google Scholar
Flannery, T (2005) The Weather Maker: How Man is Changing the Climate and What It Means for Life on Earth. New York: Groove Press, ISBN 978–0802142924.Google Scholar
Forward, R (1980) Dragon's Egg, Ballantine, ISBN 0345286464 9780345286468Google Scholar
Fossati, L, Rossi, L, Stam, D, Muñoz, AG, Berzosa-Molina, J, Marcos-Arenal, PGodolt, M (2019) Ultraviolet Spectropolarimetry as a Tool for Understanding the Diversity of Exoplanetary Atmospheres. arXiv preprint arXiv:1903.05834.Google Scholar
Fujii, Y, Angerhausen, D, Deitrick, R, Domagal-Goldman, S, Grenfell, JL, Hori, Y, Kane, SR, Pallé, E, Rauer, H, Siegler, N, Stapelfeldt, K and Stevenson, KB (2018) Exoplanet biosignatures: observational prospects. Astrobiology 18, 739778.CrossRefGoogle ScholarPubMed
Gibson, CWD and Brown, VK (1991) The effects of grazing on local colonisation and extinction during early succession. Journal of Vegetation Science 2, 291300.CrossRefGoogle Scholar
Gibson, CWD and Brown, VK (1991) The nature and rate of development of calcareous grassland in Southern Britain. Biological Conservation 58(3), 297316. http://dx.doi.org/10.1016/0006-3207(91)90097-S.CrossRefGoogle Scholar
Gillespie, R (2008) Updating Martin's Global extinction model. Quaternary Science Reviews 27, 25222529.CrossRefGoogle Scholar
Gupta, P (2015) Adverse impacts of changing climatic conditions on the environment due to increasing pollution. International Journal of Life Sciences, 3, pp. 403408. ISSN: 2320-7817| eISSN: 2320-964XGoogle Scholar
Henderson, CB and Stassun, KG (2012) Time-series photometry of stars in and around the lagoon Nebula. I. Rotation periods of 290 low-mass pre-main-sequence stars in NGC 6530. The Astrophysical Journal 747, 51.CrossRefGoogle Scholar
Johansson, LJ, Hall, K, Prentice, HC, Ihse, M, Reitalu, T, Sykes, MT and Kindström, M (2008) Semi-natural grassland continuity, long-term land-use change and plant species richness in an agricultural landscape on Öland, Sweden. Landscape and Urban Planning 84, 200211.CrossRefGoogle Scholar
Johnson, CN (2005) What can the data on late survival of Australian megafauna tell us about the cause of their extinction?. Quaternary Science Reviews 24, 21672172, ISSN 0277-3791.CrossRefGoogle Scholar
Johnson, AW and Earle, TK (2000) The Evolution of Human Societies: From Foraging Group to Agrarian State. Stanford University Press. ISBN 9780804764513Google Scholar
Jørgensen, BB and Richardson, K (Eds.) (1996) Eutrophication in coastal marine ecosystems. Coastal and Estuarine Studies 52. 10.1029/ce052.CrossRefGoogle Scholar
Kasting, JF, Whitmire, DP and Reynolds, RT (1993) Habitable zones around main sequence stars. Icarus 101, 108128.CrossRefGoogle ScholarPubMed
Kerr, JT and Ostrovsky, M (2003) From space to species: ecological applications for remote sensing. Trends in Ecology & Evolution 18, 299305.CrossRefGoogle Scholar
King, A (2015) Mississippian Period: Overview, New Georgia Encyclopedia, 10 March 2002, edited 06 August 2017. Web. 23 August 2020.Google Scholar
Konopacky, Q, Barman, T, Macintosh, B, Marois, C and Savransky, D (2015) High-resolution Spectroscopy of Directly-Imaged Exoplanet Atmospheres. SPIE Newsroom. doi:10.1117/2.1201408.005546. 8 August 2015.Google Scholar
Kreidberg, L (2018) Exoplanet atmosphere measurements from transmission spectroscopy and other planet star combined light observations. In Deeg, H and Belmonte, J (eds). Handbook of Exoplanets. Cham: Springer. doi:20832105. 10.1007/978-3-319-55333-7_100.CrossRefGoogle Scholar
Lambin, EF, Turner, BL, Geist, HJ., Agbola, SB, Angelsen, A, Bruce, JW., Coomes, OT, Dirzo, R, Fischer, G, Folke, C, George, PS, Homewood, K, Imbernon, J, Leemans, R, Li, X, Moran, EF., Mortimore, M, Ramakrishnan, PS, Richards, JF, Skånes, H, Steffen, W, Stone, GD, Svedin, U, Veldkamp, TA, Vogel, C and Xu, J (2001) The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change 11(4), 261269. http://dx.doi.org/10.1016/S0959-3780(01)00007-3.Google Scholar
Lattanzi, MG, Casertano, S, Jancart, S, Morbidelli, R, Pourbaix, D, Pannunzio, R, Sozzetti, A and Spagna, A (2005) Detection and characterization of extra-solar planets with gaia. In Turon, C and O'Flaherty, KS (eds). The Three-Dimensional Universe with Gaia. Vol. 576, p. Astronomy & Astrophysics (A&A), pp. 251.Google Scholar
Leger, A and Herbst, T (2007) DARWIN mission proposal to ESA. arXiv preprint arXiv:0707.3385.Google Scholar
Little, LK (2007) Life and afterlife of the first plague pandemic. Plague and the End of Antiquity 1, 332. 10.1017/cbo9780511812934.004.Google Scholar
Lobell, DB, Asner, GP, Ortiz-Monasterio, JI and Benning, TL (2003) Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties. Agriculture, Ecosystems & Environment 94, 205220.CrossRefGoogle Scholar
Loeb, A and Turner, EL (2012) Detection technique for artificially illuminated objects in the outer solar system and beyond. Astrobiology 12, 290294.CrossRefGoogle ScholarPubMed
Low Tech (2011) “Medieval Smokestacks: Fossil Fuels In Pre-Industrial Times”. LOW-TECH MAGAZINE. N.p., 2016. Web. 14 Aug. 2016. Available at https://www.lowtechmagazine.com/2011/09/peat-and-coal-fossil-fuels-in-pre-industrial-times.htmlGoogle Scholar
Marshall, M (2020) Earliest use of controlled fire. New Scientist 248, 14.Google Scholar
Menotti, F (2012) Wetland Occupations in Prehistoric Europe. New York: Oxford Handbooks Online. doi:10.1093/oxfordhb/9780199573493.013.0003.CrossRefGoogle Scholar
Merlis, TM and Schneider, T (2010) Atmospheric dynamics of earth-like tidally locked aquaplanets. Journal of Advances in Modeling Earth Systems 2(4). DOI: 10.3894/james.2010.2.13.CrossRefGoogle Scholar
Mohler, M, Bühl, J, Doherty, S, Eggl, S, Eybl, VT, Farago, F, … Tió, MV (2010) Opening a new window to other worlds with spectropolarimetry. Experimental Astronomy 28, 101135.CrossRefGoogle Scholar
Orosz, JA, Welsh, WF, Carter, JA, Fabrycky, DC, Cochran, WD, Endl, M, … Borucki, WJ (2012) Kepler-47: a transiting circumbinary multiplanet system. Science (New York, N.Y.) 337, 15111514.CrossRefGoogle ScholarPubMed
Penny, A (2011) The lifetimes of scientific civilization and The genetic evolution of the brain. In Vakoch, DA and Harrison, AA (eds), Civilizations Beyond Earth: Extra-Terrestrial Life and Society. New York: Berghahn Books, p. 60, 2011. ISBN 13: 9780857452115Google Scholar
Pielke, RA, Marland, G, Betts, RA, Chase, TN, Eastman, JL, Niles, JO, … Running, SW (2002) The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 360, 17051719.CrossRefGoogle ScholarPubMed
Pirani, S (2018) Burning Up: A Global History of Fossil Fuel Consumption. London: Pluto Press, ISBN 978–0745335612.Google Scholar
Platt, T, White, GN, Zhai, L, Sathyendranath, S and Roy, S (2009) The phenology of phytoplankton blooms: ecosystem indicators from remote sensing. Ecological Modelling 220, 30573069.CrossRefGoogle Scholar
Rabe, NJ (2003) Remote sensing of crop biophysical parameters for site-specific agriculture, Doctoral dissertation, Lethbridge, Alta.: University of Lethbridge, Faculty of Arts and Science. Corpus ID: 129877980Google Scholar
Rajpaul, V, Buchhave, LA and Aigrain, S (2017) Pinning down the mass of Kepler-10c: the importance of sampling and model comparison. Monthly Notices of the Royal Astronomical Society: Letters 471, L125L130.CrossRefGoogle Scholar
Reidsma, P, Tekelenburg, T, van den Berg, M and Alkemade, R (2006) Impacts of land-use change on biodiversity: An assessment of agricultural biodiversity in the European Union. Agriculture, Ecosystems & Environment 114(1), 86102. http://dx.doi.org/10.1016/j.agee.2005.11.026.CrossRefGoogle Scholar
Ripple, WJ, Smith, P, Haberl, H, Montzka, SA, McAlpine, C and Boucher, DH (2013) Ruminants, climate change and climate policy. Nature Climate Change 4, 25.CrossRefGoogle Scholar
Roberts, (1968) Pavane. Driffield, UK: Rupert Hart-Davis.Google Scholar
Robinson, M, Boardman, J, Evans, R, Heppell, K, Packman, J and Leeks, G (2000) Land use change. In Acreman, M (ed.), The Hydrology of the UK: A Study of Change. London: Routledge, 978–0415187602Google Scholar
Rutherford, PM, Dudas, MJ and Samek, RA (1994) Environmental impacts of phosphogypsum. Science of The Total Environment 149, 138.CrossRefGoogle Scholar
Ryan, KC, Knapp, EE and Varner, JM (2013) Prescribed fire in North American forests and woodlands: history, current practice, and challenges. Frontiers in Ecology and the Environment 11(S1). DOI: 10.1890/120329.CrossRefGoogle Scholar
Sandor, RL, Bettelheim, EC and Swingland, IR (2002) An overview of a free–market approach to climate change and conservation. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 360, 16071620.CrossRefGoogle ScholarPubMed
Scharf, C (2019) The First Alien. Scientific American blogs, Available at https://blogs.scientificamerican.com/life-unbounded/the-first-alien/Google Scholar
Segura, A, Krelove, K, Kasting, JF, Sommerlatt, D, Meadows, V, Crisp, D, … Mlawer, E (2003) Ozone concentrations and ultraviolet fluxes on earth-like planets around other stars. Astrobiology 3, 689708.CrossRefGoogle ScholarPubMed
Segura, A, Kasting, JF, Meadows, V, Cohen, M, Scalo, J, Crisp, D, … Tinetti, G (2005) Biosignatures from earth-like planets around M dwarfs. Astrobiology 5, 706725.CrossRefGoogle ScholarPubMed
Seneviratne, SI, Phipps, SJ, Pitman, AJ, Hirsch, AL, Davin, EL, Donat, MG, Hirschi, M, Lenton, A, Wilhelm, M and Kravitz, B (2018) Land radiative management as contributor to regional-scale climate adaptation and mitigation. Nature Geosci 11, 8896.CrossRefGoogle Scholar
Serrano, LM, Barros, SCC, Oshagh, M, Santos, NC, Faria, JP, Demangeon, P, Sousa, SG and Lendl, M (2018) Distinguishing the albedo of exoplanets from stellar activity. A&A 611, A8.Google Scholar
Smith, R, Adams, M, Maier, S, Craig, R, Kristina, A and Maling, I (2007) Estimating the area of stubble burning from the number of active fires detected by satellite. Remote Sensing of Environment 109, 95106.CrossRefGoogle Scholar
Sterzik, M, Bagnulo, S and Palle, E (2012) Biosignatures as revealed by spectropolarimetry of earthshine. Nature 483, 6466.CrossRefGoogle ScholarPubMed
Tarter, JC, Backus, PR, Mancinelli, RL, Aurnou, JM, Backman, DE, Basri, GS, … Young, RE (2007) A reappraisal of The habitability of planets around M dwarf stars. Astrobiology 7, 3065.CrossRefGoogle ScholarPubMed
Taylor, MS (2011) Buffalo hunt: international trade and the virtual extinction of the North American bison. American Economic Review 101, 31623195.CrossRefGoogle Scholar
Van, TT, Wilson, N, Thanh-Tung, H, Quisthoudt, K, Quang-Minh, V, Xuan-Tuan, L, … Koedam, N (2015) Changes in mangrove vegetation area and character in a war and land use change affected region of Vietnam (Mui Ca Mau) over six decades. Acta Oecologica 63, 7181.CrossRefGoogle Scholar
Vanderburg, Andrew, Rappaport, Saul A, Xu, Siyi, Ian, J M, Crossfield, Juliette C, Becker, Bruce, Gary, Felipe, Murgas, Simon, Blouin, Thomas G, Kaye, Enric, Palle, Carl, Melis, Brett M, Morris, Laura, Kreidberg, Varoujan, Gorjian, Caroline V, Morley, Andrew W, Mann, Hannu, Parviainen, Logan A, Pearce, Elisabeth R, Newton, Andreia, Carrillo, Ben, Zuckerman, Lorne, Nelson, Greg, Zeimann, Warren R, Brown, René, Tronsgaard, Beth, Klein, George R, Ricker, Roland K, Vanderspek, David W, Latham, Sara, Seager, Joshua N, Winn, Jon M, Jenkins, Fred C, Adams, Björn, Benneke, David, Berardo, Lars A, Buchhave, Douglas A, Caldwell, Jessie L, Christiansen, Karen A, Collins, Knicole D, Colón, Tansu, Daylan, John, Doty, Alexandra E, Doyle, Diana, Dragomir, Courtney, Dressing, Patrick, Dufour, Akihiko, Fukui, Ana, Glidden, Natalia M, Guerrero, Xueying, Guo, Kevin, Heng, Andreea I, Henriksen, Chelsea X, Huang, Lisa, Kaltenegger, Stephen R, Kane, John A, Lewis, Jack J and Lissauer, Farisa. Nature 585, 363367.Google Scholar
Villaver, E and Livio, M (2009) The orbital evolution of gas giant planets around giant stars. The Astrophysical Journal Letters 705, L81.CrossRefGoogle Scholar
Wang, Z, Schaaf, CB, Kim, J, Erb, AM, Román, MO, Yang, Y, Taylor, JR, Masek, JG, Morisette, JT, Zhang, X and Shirley, A (2017) Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product. International Journal of Applied Earth Observation and Geoinformation Year 59, 104117.CrossRefGoogle ScholarPubMed
Williams, FA (1982) Urban and wildland fire phenomenology. Progress in Energy and Combustion Science 8, 317354.CrossRefGoogle Scholar
Zhu, Z, Piao, S, Myneni, R, et al. (2016) Greening of the earth and its drivers. Nature Clim Change 6, 791795.CrossRefGoogle Scholar

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