2021
Andersson, Erik; Haase, Dagmar; Anderson, Pippin; Cortinovis, Chiara; Goodness, Julie; Kendal, Dave; Lausch, Angela; McPhearson, Timon; Sikorska, Daria; Wellmann, Thilo
What are the traits of a social-ecological system: towards a framework in support of urban sustainability Journal Article
In: npj Urban Sustainability, 2021.
Abstract | Links | BibTeX | Tags: Ecosystem services, Environmental impact, Environmental studies, Human behaviour, Social-Ecological System, Sustainability, Traits, Urban ecology, Urban governance
@article{Thilo_Wellmann_91204221,
title = {What are the traits of a social-ecological system: towards a framework in support of urban sustainability},
author = {Erik Andersson and Dagmar Haase and Pippin Anderson and Chiara Cortinovis and Julie Goodness and Dave Kendal and Angela Lausch and Timon McPhearson and Daria Sikorska and Thilo Wellmann},
url = {http://doi.org/10.1038/s42949-020-00008-4},
doi = {10.1038/s42949-020-00008-4},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {npj Urban Sustainability},
abstract = {To ensure that cities and urban ecosystems support human wellbeing and overall quality of life we need conceptual frameworks that can connect different scientific disciplines as well as research and practice. In this perspective, we explore the potential of a traits framework for understanding social-ecological patterns, dynamics, interactions, and tipping points in complex urban systems. To do so, we discuss what kind of framing, and what research, that would allow traits to (1) link the sensitivity of a given environmental entity to different globally relevant pressures, such as land conversion or climate change to its social-ecological consequences; (2) connect to human appraisal and diverse bio-cultural sense-making through the different cues and characteristics people use to detect change or articulate value narratives, and (3) examine how and under what conditions this new approach may trigger, inform, and support decision making in land/resources management at different scales.},
keywords = {Ecosystem services, Environmental impact, Environmental studies, Human behaviour, Social-Ecological System, Sustainability, Traits, Urban ecology, Urban governance},
pubstate = {published},
tppubtype = {article}
}
2020
Lausch, Angela; Schaepman, Michael E.; Skidmore, Andrew K.; Truckenbrodt, Sina C.; Hacker, Jörg M.; Baade, Jussi; Bannehr, Lutz; Borg, Erik; Bumberger, Jan; Dietrich, Peter; Gläßer, Cornelia; Haase, Dagmar; Heurich, Marco; Jagdhuber, Thomas; Jany, Sven; Krönert, Rudolf; Möller, Markus; Mollenhauer, Hannes; Montzka, Carsten; Pause, Marion; Rogass, Christian; Salepci, Nesrin; Schmullius, Christiane; Schrodt, Franziska; Schütze, Claudia; Schweitzer, Christian; Selsam, Peter; Spengler, Daniel; Vohland, Michael; Volk, Martin; Weber, Ute; Wellmann, Thilo; Werban, Ulrike; Zacharias, Steffen; Thiel, Christian
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces Journal Article
In: Remote Sensing, vol. 12, no. 22, pp. 3690, 2020.
Abstract | Links | BibTeX | Tags: Earth observation, Geodiversity, Geomorphology, Monitoring, Remote Sensing, Spectral traits, Traits
@article{Lausch_2020,
title = {Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces},
author = {Angela Lausch and Michael E. Schaepman and Andrew K. Skidmore and Sina C. Truckenbrodt and Jörg M. Hacker and Jussi Baade and Lutz Bannehr and Erik Borg and Jan Bumberger and Peter Dietrich and Cornelia Gläßer and Dagmar Haase and Marco Heurich and Thomas Jagdhuber and Sven Jany and Rudolf Krönert and Markus Möller and Hannes Mollenhauer and Carsten Montzka and Marion Pause and Christian Rogass and Nesrin Salepci and Christiane Schmullius and Franziska Schrodt and Claudia Schütze and Christian Schweitzer and Peter Selsam and Daniel Spengler and Michael Vohland and Martin Volk and Ute Weber and Thilo Wellmann and Ulrike Werban and Steffen Zacharias and Christian Thiel},
url = {https://doi.org/10.3390%2Frs12223690},
doi = {10.3390/rs12223690},
year = {2020},
date = {2020-11-01},
urldate = {2020-11-01},
journal = {Remote Sensing},
volume = {12},
number = {22},
pages = {3690},
publisher = {MDPI AG},
abstract = {The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring.},
keywords = {Earth observation, Geodiversity, Geomorphology, Monitoring, Remote Sensing, Spectral traits, Traits},
pubstate = {published},
tppubtype = {article}
}