The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate.
MULTIFILE
In The Age of Total Images, art historian Ana Peraica focuses on the belief that the shape of the planet is two-dimensional which has been reawakened in the late 20th and early 21st centuries, and the ways in which these ‘flat Earth’ conspiracy theories are symptomatic of post-digital image culture. Such theories, proven to be false both in Antiquity and Modernity, but once held to be true in the Medieval Period, have influenced a return to a kind of ‘New Medievalism’.
MULTIFILE
In recent years, frequent earthquakes have been reported in the Groningen region due to gas extraction. The building stock of the region mainly consists of brick masonry structures which were built without any seismic design taken into consideration. Therefore, these structures are extremely vulnerable to the loads coming from the earthquakes hitting the Groningen area on a regular basis. Numerous damage claims for damages on structures arise after every earthquake. In order to protect and reassure the structural integrity of the numerous brick masonry structures (more than 14.000 lay in the seismic zone), innovative solutions need to be developed. One of the approaches is to strengthen these houses extensively, up to a level that earthquake forces do not affect the original structure. This approach results in heavy and most of the times ugly strengthening solutions. A promising technology seems to be the installation of a vibration isolating concrete at the foundation level in order to decrease the vibration demands to the structures during the earthquake events. This latter method has been developed by the partner of this project, Nederboom, and will be investigated further for its advantages over the conventional techniques in terms of efficacy, applicability and cost. The aim of the proposed project is to carry out an experimental campaign to provide the essential experimental background to introduce and validate the effectiveness of this technology when repeated earthquake loads are applied several times on a brick masonry structural component. The experiments will be performed at the testing facilities of BuildinG, partner of the project, and will be supervised by members of the Earthquake Research Group of Hanze University of Applied Sciences.
Post-earthquake structural damage shows that wall collapse is one of the most common failure mechanisms in unreinforced masonry buildings. It is expected to be a critical issue also in Groningen, located in the northern part of the Netherlands, where human-induced seismicity has become an uprising problem in recent years. The majority of the existing buildings in that area are composed of unreinforced masonry; they were not designed to withstand earthquakes since the area has never been affected by tectonic earthquakes. They are characterised by vulnerable structural elements such as slender walls, large openings and cavity walls. Hence, the assessment of unreinforced masonry buildings in the Groningen province has become of high relevance. The abovementioned issue motivates engineering companies in the region to research seismic assessments of the existing structures. One of the biggest challenges is to be able to monitor structures during events in order to provide a quick post-earthquake assessment hence to obtain progressive damage on structures. The research published in the literature shows that crack detection can be a very powerful tool as an assessment technique. In order to ensure an adequate measurement, state-of-art technologies can be used for crack detection, such as special sensors or deep learning techniques for pixel-level crack segmentation on masonry surfaces. In this project, a new experiment will be run on an in-plane test setup to systematically propagate cracks to be able to detect cracks by new crack detection tools, namely digital crack sensor and vision-based crack detection.
