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Changes in groundwater recharge are a major concern in areas where increasing irrigated agriculture evidences unsustainable groundwater withdrawals despite low precipitation. This is worsening due to the increasing groundwater demand, which has intensified the magnitude of the hydrological drought by 10%–500%. Globally, 69% of groundwater abstraction is used for agriculture. Hence, South America is expected to face an unprecedented hydrological drought over the next 30 years due to rising agricultural withdrawals. Furthermore, attributing groundwater decline to groundwater pumping is an ongoing challenge (including scientific and technical/modelling challenges) that needs to be robustly addressed. To better understand the influence of anthropogenic water consumption on hydrological drought, with a particular emphasis on how irrigated agriculture impacts groundwater, we compared coupled and non‐coupled versions of PCR‐GLOBWB2.0 with MODFLOW regarding model selection and scenario comparison. We presented a natural and human scenario to understand the effects of hydrological drought on groundwater depletion and recovery. Using scenario comparison, the spatial patterns of human impact on the water cycle are identified by comparing groundwater flows, drought characteristics, and drought recovery. These impacted areas may help to understand their effects on human consumption, food security, and ecosystem demands. [ABSTRACT FROM AUTHOR]

Debris flows can grow greatly in size and hazardous potential by eroding bed and bank materials. However, erosion mechanisms are poorly understood because debris flows are complex hybrids between a fluid flow and a moving mass of colliding particles, bed erodibility varies between events, and field measurements are hard to obtain. Here, we (i) quantify the spatio-temporal patterns of erosion and deposition and (ii) identify the key controls on debris-flow erosion in the Illgraben (CH). We use a dataset that combines information on flow properties, antecedent rainfall, and bed and bank erosion for 13 debris flows that occurred between 2019 and 2021. We show that spatio-temporal patterns of erosion and deposition in natural debris-flow torrents can be highly variable and dynamic, and we identify a memory effect where erosion is strong at locations of strong deposition during previous flows and vice versa. We find that flow conditions and antecedent rainfall (affecting bed wetness) jointly control debris-flow erosion. We find statistically significant correlations between channel erosion/deposition and a wide range of flow conditions, including frontal flow depth, velocity, and discharge, and flow volume, cumulative shear stress and seismic energy, as well as antecedent rainfall. Overall, flow conditions describing the cumulative forces exerted at the bed during an event, such as cumulative shear stress and flow volume, best explain erosion. A shear-stress approach accounting for bed erodibility may therefore be applicable for modelling and predicting debris-flow erosion. This work can provide input for model development by identifying correlations of flow and bed conditions with erosion that models should oblige.

Background: Disrupted metacognition is implicated in development and maintenance of negative symptoms, but more fine‐grained analyses would inform precise treatment targeting for individual negative symptoms. Aims: This systematic review identifies and examines datasets that test whether specific metacognitive capacities distinctly influence negative symptoms. Materials & Methods: PsycINFO, EMBASE, Medline and Cochrane Library databases plus hand searching of relevant articles, journals and grey literature identified quantitative research investigating negative symptoms and metacognition in adults aged 16+ with psychosis. Authors of included articles were contacted to identify unique datasets and missing information. Data were extracted for a risk of bias assessment using the Quality in Prognostic Studies tool. Results: 85 published reports met criteria and are estimated to reflect 32 distinct datasets and 1623 unique participants. The data indicated uncertainty about the relationship between summed scores of negative symptoms and domains of metacognition, with significant findings indicating correlation coefficients from 0.88 to −0.23. Only eight studies investigated the relationship between metacognition and individual negative symptoms, with mixed findings. Studies were mostly moderate‐to‐low risk of bias. Discussion: The relationship between negative symptoms and metacognition is rarely the focus of studies reviewed here, and negative symptom scores are often summed. This approach may obscure relationships between metacognitive domains and individual negative symptoms which may be important for understanding how negative symptoms are developed and maintained. Conlclusion: Methodological challenges around overlapping participants, variation in aggregation of negative symptom items and types of analyses used, make a strong case for use of Individual Participant Data Meta‐Analysis to further elucidate these relationships. [ABSTRACT FROM AUTHOR]