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      Advancing the Understanding of Adaptive Capacity of Social‐Ecological Systems to Absorb Climate Extremes

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          Abstract

          Enhancing the capacity of social‐ecological systems (SES) to adapt to climate change is of crucial importance. While gradual climate change impacts have been the main focus of much recent research, much less is known about how SES are impacted by climate extremes and how they adapt. Here, based on an advanced conceptualization of social‐ecological resilience, performed by an interdisciplinary group of scientists, we outline three major challenges for operationalizing the resilience concept with particular focus on climate extremes. First, we discuss the necessary steps required to identify and measure relevant variables for capturing the full response spectrum of the coupled social and ecological components of SES. Second, we examine how climate extreme impacts on coupling flows in SES can be quantified by learning from past societal transitions or adaptations to climate extremes and resulting changes in ecosystem service supply. Last, we explore how to identify management options for maintaining and enhancing social‐ecological resilience under a changing regime of climate extremes. We conclude that multiple pathways within adaptation and mitigation strategies which enhance the adaptive capacity of SES to absorb climate extremes will open the way toward a sustainable future.

          Plain Language Summary

          Ecosystems and society are closely coupled and are both affected by climate change. Climate extremes are expected to occur more often and/or get more intense under climate change. We ask the following question: How can ecosystems and society, which can be described as so‐called social‐ecological systems, withstand climate extremes and can therefore become more resilient? To achieve this, we use the concept of social‐ecological resilience and identify three challenges that scientists, decision makers, and practitioners need to work on to improve the adaptive capacity of social‐ecological systems to climate extremes. We need to describe and measure the main drivers of climate extremes that impact ecosystems and society and those variables that describe the adaptive capacity and all possible responses of ecosystems and society. Ecosystems and society are coupled: Ecosystems provide ecosystem services to society, and society manages ecosystems. These coupling flows also change under the impact of climate extremes. We still do not fully understand how climate extremes impact these coupling flows or how they can be measured. Because society has influenced ecosystems for many centuries and millennia in many regions of the world, these coupling flows also often have a long history; as such we cannot expect ecosystems and society to adapt to climate extremes separately. We can learn about impacts from past extreme events to continuously improve the management of ecosystems and increase the adaptive capacity of social‐ecological systems. Such management options range from adaptations of land management to institutional practices which are often necessary in order to be useful in helping the affected region immediately after a climate extreme event.

          Key Points

          • Climate extremes impact the resilience of social‐ecological systems; their adaptation requires knowledge on ecological and social mechanisms

          • Relevant ecological and social variables document the impact of climate extremes on the coupling flows, enabling management options

          • Three challenges remain to advance our understanding on adapting social‐ecological systems for a resilient and sustainable future

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          A general framework for analyzing sustainability of social-ecological systems.

          A major problem worldwide is the potential loss of fisheries, forests, and water resources. Understanding of the processes that lead to improvements in or deterioration of natural resources is limited, because scientific disciplines use different concepts and languages to describe and explain complex social-ecological systems (SESs). Without a common framework to organize findings, isolated knowledge does not cumulate. Until recently, accepted theory has assumed that resource users will never self-organize to maintain their resources and that governments must impose solutions. Research in multiple disciplines, however, has found that some government policies accelerate resource destruction, whereas some resource users have invested their time and energy to achieve sustainability. A general framework is used to identify 10 subsystem variables that affect the likelihood of self-organization in efforts to achieve a sustainable SES.
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            Bowling alone

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              Urban greening to cool towns and cities: A systematic review of the empirical evidence

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                Author and article information

                Journal
                Earth's Future
                Earth's Future
                American Geophysical Union (AGU)
                2328-4277
                2328-4277
                February 2020
                February 03 2020
                February 2020
                : 8
                : 2
                Affiliations
                [1 ] Research Department 1 “Earth System Analysis” Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association Potsdam Germany
                [2 ] Department of Ecology University of Innsbruck Innsbruck Austria
                [3 ] Laboratoire d'Ecologie Alpine, UMR 5553, CNRS‐Université Grenoble Alpes‐Université Savoie Mont‐Blanc Grenoble France
                [4 ] Department of Earth and Environmental Sciences The University of Manchester Manchester UK
                [5 ] Institute of Social Ecology University of Natural Resources and Life Sciences Vienna Vienna Austria
                [6 ] Institute of Geoscience and Earth Resources National Research Council (CNR) Pisa Italy
                [7 ] Max‐Planck‐Institute for Biogeochemistry Jena Germany
                [8 ] School of Business and Economics Philipps‐Universität Marburg Marburg Germany
                [9 ] TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany
                Article
                10.1029/2019EF001221
                8f03e77a-e8c8-4fbe-b5c0-0a58dd3dd7ef
                © 2020

                http://creativecommons.org/licenses/by/4.0/

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