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Within this paper, the authors explain their transdisciplinary vision of nutrient recovery for sustainable urban plant cultivation in Germany from different but complementary perspectives (SUSKULT vision). Nowadays, the demand for fresh, healthy, locally and sustainably produced food in German urban areas is constantly increasing. At the same time, current agricultural systems contribute significantly to exceeding the planetary boundaries. The disruption of the phosphorus and nitrogen cycles in particular stands out from the manifold effects of modern food production on the Earth system. One central issue that will have to be faced in the future is how increased yields in agriculture will be achieved with high-energy requirements in fertilizer production and pollution of water and soil by phosphorus and reactive nitrogen. City region food systems (CRFS) can be a solution to overcome these issues. Nevertheless, to ensure sustainable CRFS, innovative technologies and methods need to be developed, including nutrient and energy recovery and adapted horticultural cultivation methods that fit complex urban dynamics. Such new strategies need to be integrated in long-term social and political transformation processes to enhance acceptance of food produced by recyclates. The joint contribution of experts from the wastewater, horticultural, and political sciences, together with industrial and societal sector actors, is critical to reach these objectives. The overarching goal of SUSKULT’s vision is the establishment of the field of urban circular agricultural production as an innovative sector of the bio-based economy in Germany.

This conceptual paper aims to expand the notion of “farming newcomers” in Europe by also including those that we label “involuntary newcomers”, who correspond to the workforce coming unwillingly to farming for reasons associated with spatial (im)mobilities. We fully develop our aim in four steps. Firstly, we present an integrative literature review which describes how the interplay between the key concepts of the sustainable farming framework (i.e., sustained development, networked rural development, and spatial (im)mobilities) tailor the newcomers’ arrival to the farming sector. Secondly, we define involuntary newcomers, describe their profiles and list the barriers to their engagement with sustainable farming. Thirdly, we advance some implications and limitations of our work for mobility research agendas. Fourthly, we conclude with an overview of the main inputs provided by our paper. We contribute to the literature by showing that: (a) newcomers must be defined beyond land ownership and (c) there is a high risk of the sustainable farming framework failing to meet its ambitions if it continues to ignore involuntary newcomers (and the barriers they encounter) in sustainable forms of agriculture. (b) involuntary newcomers are very diverse, due to trends in spatial (im)mobilities

International audience; Solar irradiance nowcasts can be derived with sky images from all sky imagers (ASI) by detecting and analyzing transient clouds, which are the main contributor of intra-hour solar irradiance variability. The accuracy of ASI based solar irradiance nowcasting systems depends on various processing steps. Two vital steps are the cloud height detection and cloud tracking. This task is challenging, due to the atmospheric conditions that are often complex, including various cloud layers moving in different directions simultaneously.This challenge is addressed by detecting and tracking individual clouds. For this, we developed two distinct ASI nowcasting approaches with four or two cameras and a third hybridized approach. These three systems create individual 3-D cloud models with unique attributes including height, position, size, optical properties and motion. This enables us to describe complex multi-layer conditions.In this paper, derived cloud height and motion vectors are compared with a reference ceilometer (height) and shadow camera system (motion) over a 30 day validation period. The validation data set includes a wide range of cloud heights, cloud motion patterns and atmospheric conditions. Furthermore, limitations of ASI based nowcasting systems due to image resolution and image perspective constrains are discussed.The most promising system is found to be the hybridized approach. This approach uses four ASIs and a voxel carving based cloud modeling combined with a cloud segmentation independent stereoscopic cloud height and tracking detection. We observed for this approach an overall mean absolute error of 648 m for the height, 1.3 m/s for the cloud speed and 16.2° for the motion direction.

Societal Impact Statement: Large areas of tropical forest are degraded. While global tree cover is being mapped with increasing accuracy from space, much less is known about the quality of that tree cover. Here we present a field protocol for rapid assessments of forest condition. Using extensive field data from Tanzania, we show that a focus on remotely‐sensed deforestation would not detect significant reductions in forest quality. Radar‐based remote sensing of degradation had good agreement with the ground data, but the ground surveys provided more insights into the nature and drivers of degradation. We recommend the combined use of rapid field assessments and remote sensing to provide an early warning, and to allow timely and appropriately targeted conservation and policy responses. Summary: Tropical forest degradation is widely recognised as a driver of biodiversity loss and a major source of carbon emissions. However, in contrast to deforestation, more gradual changes from degradation are challenging to detect, quantify and monitor. Here, we present a field protocol for rapid, area‐standardised quantifications of forest condition, which can also be implemented by non‐specialists. Using the example of threatened high‐biodiversity forests in Tanzania, we analyse and predict degradation based on this method. We also compare the field data to optical and radar remote‐sensing datasets, thereby conducting a large‐scale, independent test of the ability of these products to map degradation in East Africa from space. Our field data consist of 551 ‘degradation’ transects collected between 1996 and 2010, covering >600 ha across 86 forests in the Eastern Arc Mountains and coastal forests. Degradation was widespread, with over one‐third of the study forests—mostly protected areas—having more than 10% of their trees cut. Commonly used optical remote‐sensing maps of complete tree cover loss only detected severe impacts (≥25% of trees cut), that is, a focus on remotely‐sensed deforestation would have significantly underestimated carbon emissions and declines in forest quality. Radar‐based maps detected even low impacts (<5% of trees cut) in ~90% of cases. The field data additionally differentiated types and drivers of harvesting, with spatial patterns suggesting that logging and charcoal production were mainly driven by demand from major cities. Rapid degradation surveys and radar remote sensing can provide an early warning and guide appropriate conservation and policy responses. This is particularly important in areas where forest degradation is more widespread than deforestation, such as in eastern and southern Africa. Funder: Scottish Government’s Rural and Environment Science and Analytical Services Division Funder: Danish International Development Agency; Id: http://dx.doi.org/10.13039/501100011054 Funder: Critical Ecosystem Partnership Fund; Id: http://dx.doi.org/10.13039/100013724 Funder: Global Environment Facility; Id: http://dx.doi.org/10.13039/100011150 Funder: Leverhulme Trust; Id: http://dx.doi.org/10.13039/501100000275 Funder: Finnish International Development Agency

Land use is a crucial sector in delivering enhanced carbon sequestration globally. At the same time food production is a major source of global greenhouse gas emissions. As pressure mounts for all nations to increase their levels of ambition under the Paris Climate Agreement, so the pressure to radically reduce emissions from the agriculture sector and enhance carbon sequestration in the land use sector also ramps up. This trend is most clearly evident in the drive for “net zero” where unavoidable emissions, such as those from food production, are balanced by more sequestration via land use change. Here we examine some of the major risks, applicable safeguards, and potential pathways for agriculture and land use in realizing net zero. Using the UK as an example we highlight the importance of governance, finance, skills, research and technology, and society in this transition. We conclude that successful land use policy for net zero will require extremely demanding levels of integration and spatial resolution, and that the research community has a vital role to play in providing a robust evidence base for this. We also invoke the Cancun safeguards as a basis on which a more sustainable and just transition to net zero might be based. Finally, we warn of unintended distortions to policy and markets if the drive for net zero is too blinkered.

Long-term measurements for monitoring the noise immission of wind turbines (WT) are difficult because the local noise level is determined by a variety of influences [1]. On the one hand, there is the highly variable emission level, depending on the inflow conditions and on the rotational speed of the turbine. On the other hand, an assignment of the noise to the source is not always clear, because the immission level is often on the same level as the external noise. To improve the understanding of the sound transmission under different meteorological conditions such an assignment of the source noises is essential. The aim of this paper is to show which immission measurement data can be used to evaluate sufficiently high-resolution (temporal and spectral) long-term measurement data to obtain information on sound emission, rotational speed, background noise, amplitude modulation and the local noise exposure coming from a wind turbine. The long-term measurements compare different meteorological conditions and show the influence of the weather on the detectability of the WT noise. These investigations allow statements about the necessary analysis periods, the consideration of meteorological information and new metrics in noise monitoring.