Daniela Braun's research while affiliated with University of Zurich and other places

Publications (7)

Article
Understanding the drivers of ecosystem change and their effects on ecosystem services are essential for management decisions and verification of progress towards national and international sustainability policies (e.g. Aichi Biodiversity Targets, Sustainable Development Goals). We aim to disentangle spatially the effect of climatological and non‐cl...
Article
Understanding and monitoring pressures on ecosystems and their consequences for ecosystem services (ES) is essential for management decisions and verification of progress towards national and international policies (e.g. Aichi Biodiversity Targets, Sustainable Development Goals). Remote sensing (RS) offers a unique capability to assess ES systemati...
Article
Spatially well-informed decisions are essential to sustain and regulate processes and ecosystem services (ES), and to maintain the capacity of ecosystems to supply services. However, spatially explicit ES information is often lacking in decision-making, or exists only as ES maps based on categorical land cover data. Remote sensing (RS) opens new pa...
Poster
Full-text available
Soils play an important role in the benefits offered by ecosystems services. In densely populated Switzerland soils are a scarce resource, with high pressure on services ranging from urban expansion to over-utilization. Key change drivers include erosion, soil degradation, land management change and (chemical) pollution, which should be taken into...

Citations

... In addition, the scale of research on ecosystem service trade-offs is diverse; the grid scale is determined by combining data resolution or experience, a too-fine township unit scale is adopted, or a too-coarse prefecture-level or even provincial-level scale is adopted, so it is impossible to formulate targeted regional ecosystem management policies. However, there are few quantitative analysis on the impact of natural and human activities on the dynamic change of ecosystem service trade-off relationships [24], and the correlation analysis between environment and socio-economic factors is not deep enough [25,26]. Some studies have adopted spatial analysis units that are not conducive to regional designation of future responses, and others have ignored the variation of regression parameters with geographic location when exploring the influencing factors, which leads to certain limitations in the understanding of ecosystem service trade-off relationships and its driving mechanism. ...
... Therefore, it is necessary to integrate social science to address these problems, which is also the development direction of this research field. Remote sensing has been widely used in forestry and SDG research as a research method to monitor and evaluate forest ecosystem services and, thus, track sustainable development target processes, such as land use changes, land degradation, and biodiversity conservation [83][84][85]. In terms of biodiversity and land resources, preventing and reversing land degradation and halting biodiversity losses are the purposes of SDG 15. ...
... Spatial mismatches can also involve multiple ecosystem services (including ecosystem services bundles). For example, Braun et al. [31] discuss spatial overlaps between agricultural ecosystem services, carbon sequestration, and cultural ecosystem services, as well as a number of other environmental variables, and Paetzold et al. [32] propose looking at matches among multiple ecosystem services, in addition to their ability to meet people's demand, as an indicator of ecosystem quality. Identifying spatial matches among multiple ecosystem services is one of the most common ways of identifying ecosystem service interactions [33] and ecosystem services bundles [34]. ...
... The functional vegetation diversity refers to the diversity of realized ecological functions and processes in forest ecosystems. [231,320] present an approach to monitoring functional diversity based on remotely sensed morphological and physiological forest traits. This approach is a fundamental step forward in mapping functional vegetation diversity using RS. ...