scholarly journals The technosphere in Earth System analysis: A coevolutionary perspective

2017 ◽  
Vol 4 (1) ◽  
pp. 23-33 ◽  
Author(s):  
Jonathan F Donges ◽  
Wolfgang Lucht ◽  
Finn Müller-Hansen ◽  
Will Steffen

Earth System analysis is the study of the joint dynamics of biogeophysical, social and technological processes on our planet. To advance our understanding of possible future development pathways and identify management options for navigating to safe operating spaces while avoiding undesirable domains, computer models of the Earth System are developed and applied. These models hardly represent dynamical properties of technological processes despite their great planetary-scale influence on the biogeophysical components of the Earth System and the associated risks for human societies posed, e.g. by climatic change or novel entities. In this contribution, we reflect on the technosphere from the perspective of Earth System analysis with a threefold focus on agency, networks and complex coevolutionary dynamics. First, we argue that Haff’s conception of the technosphere takes an extreme position in implying a strongly constrained human agency in the Earth System. Assuming that the technosphere develops according to dynamics largely independently of human intentions, Haff’s perspective appears incompatible with a humanistic view that underlies the sustainability discourse at large and, more specifically, current frameworks such as UN sustainable development goals and the safe and just operating space for humanity. Second, as an alternative to Haff’s static three-stratum picture, we propose complex adaptive networks as a concept for describing the interplay of social agents and technospheric entities and their emergent dynamics for Earth System analysis. Third, we argue that following a coevolutionary approach in conceptualising and modelling technospheric dynamics, also including the socio-cultural and biophysical spheres of the Earth System, could resolve the apparent conflict between the discourses on sustainability and the technosphere. Hence, this coevolutionary approach may point the way forward in modelling technological influences in the Earth System and may lead to a considerably deeper understanding of pathways to sustainable development in the future.

2020 ◽  
Author(s):  
Felix Strnad ◽  
Wolfram Barfuss ◽  
Jonathan Donges ◽  
Jobst Heitzig

<p>The identification of pathways leading to robust mitigation of dangerous anthropogenic climate change is nowadays of particular interest <br>not only to the scientific community but also to policy makers and the wider public. </p><p>Increasingly complex, non-linear World-Earth system models are used for describing the dynamics of the biophysical Earth system and the socio-economic and socio-cultural World of human societies and their interactions. Identifying pathways towards a sustainable future in these models is a challenging and widely investigated task in the field of climate research and broader Earth system science.  This problem is especially difficult when caring for both environmental limits and social foundations need to be taken into account.</p><p>In this work, we propose to combine recently developed machine learning techniques, namely deep reinforcement learning (DRL), with classical analysis of trajectories in the World-Earth system as an approach to extend the field of Earth system analysis by a new method. Based on the concept of the agent-environment interface, we develop a method for using a DRL-agent that is able to act and learn in variable manageable environment models of the Earth system in order to discover management strategies for sustainable development.</p><p>We demonstrate the potential of our framework by applying DRL algorithms to stylized World-Earth system models. The agent can apply management options to an environment, an Earth system model, and learn by rewards provided by the environment. We train our agent with a deep Q-neural network extended by current state-of-the-art algorithms. Conceptually, we thereby explore the feasibility of finding novel global governance policies leading into a safe and just operating space constrained by certain planetary and socio-economic boundaries.  </p><p>We find that the agent is able to learn novel, previously undiscovered policies that navigate the system into sustainable regions of the underlying conceptual models of the World-Earth system. In particular, the artificially intelligent agent learns that the timing of a specific mix of taxing carbon emissions and subsidies on renewables is of crucial relevance for finding World-Earth system trajectories that are sustainable in the long term. Overall, we show in this work how concepts and tools from artificial intelligence can help to address the current challenges on the way towards sustainable development.</p><p>Underlying publication</p><p>[1] Strnad, F. M.; Barfuss, W.; Donges, J. F. & Heitzig, J. Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Chaos: An Interdisciplinary Journal of Nonlinear Science, AIP Publishing LLC, 2019, 29, 123122</p>


Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 72 ◽  
Author(s):  
Richard Marcantonio ◽  
Agustin Fuentes

The impacts of human activities on ecosystems are significantly increasing the rate of environmental change in the earth system, reshaping the global landscape. The rapid rate of environmental change is disrupting the ability of millions of people around the globe to live their everyday lives and maintain their human niche. Evidence suggests that we have entered (or created) a new epoch, the Anthropocene, which is defined as the period in which humans and human activities are the primary drivers of planetary change. The Anthropocene denotes a global shift, but it is the collective of local processes. This is our frame for investigating local accounts of human-caused disruptive environmental change in the Pampana River in Tonkolili District, Northern Province, Sierra Leone. Since the end of the Sierra Leonean civil war in 2002, the country has experienced a rapid increase in extractive industries, namely mining. We explored the effects of this development by working with communities along the Pampana River in Tonkolili, with a specific focus given to engaging local fishermen through ethnographic interviews (N = 21 fishermen and 33 non-fishermen), focus group discussions (N = 21 fishermen), and participant observation. We deployed theoretical and methodological frameworks from human niche construction theory, complex adaptive systems, and ethnography to track disruptive environmental change in and on the Pampana from upstream activities and the concomitant shifts in the local human niche. We highlight the value of integrating ethnographic methods with human evolutionary theory, produce important insights about local human coping processes with disruptive environmental change, and help to further account for and understand the ongoing global process of human modification of the earth system in the Anthropocene.


Proceedings ◽  
2020 ◽  
Vol 30 (1) ◽  
pp. 65
Author(s):  
Artemi Cerdà

The Sustainable Development Goals (SDGs) of the United Nations do not mention Fire as a key factor in achieving an environmentally-friendly human society. This paper reviews the key aspects of the impact of fire that make it necessary to update the SDGs. Upon reviewing the scientific literature, it was found that fire has been part of the Earth System for the last 400 million years, and that it is part of biogeochemical cycles. From a geological perspective, fire shaped the current Earth System. Humans have used fire in the last million years as hunter-gatherers, and the last Pleistocene period evolved with the presence of fire. Since the Neolithic revolution, humankind spread the use of fire, without which agriculture would not have progressed as it did. Fire is still used today as a tool to clear forests, scrublands and meadows in order to establish agriculture fields. To achieve the SDGs, we cannot ignore the role of fire. Fire should be present, as it is part of the geological cycle of the planet; it is part of rural culture and plays a key role in hydrological, erosional and biological cycles. We discuss the following issues related to fire in connection with the SDGs: (i) biota; (ii) soil properties; (iii) carbon cycle; (iv) sediment and water yield; (v) air and water pollution; and (vi) risk assessment. We conclude that: (i) fire is key to flora and fauna diversity; (ii) soil properties are temporally changed after exposure to fire; (iii) the carbon cycle is disturbed by fire, but the long-term impact can be a reduction in the CO2 content in the atmosphere; (iv) sediment and water yield are enhanced by forest fires, but only during the period of disturbance; (v) air and water pollution are ephemeral; and (vi) the risk associated with fire necessitates careful planning. Prescribed fires may be part of the solution, but there is a need to educate citizens on the role that fire plays. More research is necessary due to the diversity of the biomass and the complex history of fire on the planet. Fire is part of the Earth System and the SDGs should include it as a key element in their agenda.


Author(s):  
John S. Dryzek ◽  
Jonathan Pickering

The idea of sustainability has dominated global environmental affairs for several decades, though sustainable development has nowhere been achieved in practice. Established conceptions of sustainable development asserting that growth, justice, and environmental protection can be mutually reinforcing now need to be rethought under the more challenging circumstances of the Anthropocene. Sustainability needs to become more reflexive: more open to a range of understandings about its own essence, more ecologically grounded, more dynamic in its responsiveness to changing social and Earth system conditions, more far-sighted in anticipating future problems (such as state shifts in the Earth system), and more effectively integrated with other social values (such as justice and democracy). These requirements are demonstrated by a critical examination of one of the largest global efforts to advance sustainability and associated values: the Sustainable Development Goals adopted by the United Nations in 2015.


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