TY - GEN A1 - Rojas, Pedro A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Semi-automatic image analysis of spatiotemporal vegetation evolution in the Hühnerwasser catchment T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-13522 ER - TY - GEN A1 - Ahmadinia, Ebrahim A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Coupled effects of microtopography and time-dependant infiltration capacity on rainfall-runoff-infiltration partitioning on a hillslope T2 - EGU General Assembly 2020, Online, 4-8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-18200 ER - TY - GEN A1 - Hinz, Christoph A1 - Mengsuwan, Konlavach A1 - Caviedes-Voullieme, Daniel T1 - Spatial analytics of self-organized vegetation pattern in semi-arid regions: an example on tiger-bush patterns in Sudan T2 - EGU General Assembly 2021 Y1 - 2021 U6 - https://doi.org/10.5194/egusphere-egu21-10102 ER - TY - GEN A1 - Caviedes-Voullième, Daniel A1 - Özgen-Xian, Ilhan A1 - Hinz, Christoph T1 - Surface runoff connectivity across scales: revisiting three simulation studies T2 - EGU General Assembly 2021 Y1 - 2021 U6 - https://doi.org/10.5194/egusphere-egu21-5004 ER - TY - GEN A1 - Caviedes-Voullième, Daniel A1 - Ahmadinia, Ebrahim A1 - Hinz, Christoph T1 - Interactions of Microtopography, Slope and Infiltration Cause Complex Rainfall-Runoff Behavior at the Hillslope Scale for Single Rainfall Events T2 - Water Resources Research N2 - Microtopography (MT) can govern runoff dynamics as a net result of local heterogeneities in the flow paths and ponding. This in turn controls the development of the surface water layer that connects and flows downslope. It is therefore important to understand which microtopographic features affect runoff generation dynamics and its macroscopic—hillslope scale—hydrological signatures (e.g., hydrographs, runoff and infiltration volumes). In this study, we numerically solve 2D overland flow from a single rain pulse on 1,460 idealized hillslopes with different slopes and sinusoidal microtopographies and different infiltration capacities. We assess hydrodynamic distributions, hydrographs and hydrological indices to assess the effects of MT and infiltration on the (local) hydrodynamic and (larger scale) hydrologic responses in terms of surface runoff regimes. The results show that MT enhances infiltration and that infiltration and runoff depend in a strong non-linear way on slope and the properties of MT. Three regimes of influence of MT were identified: one in which MT plays a negligible role but there is a high sensitivity to the infiltration capacity curve, a second regime in which hydrological partitioning is highly sensitive to MT and the infiltration capacity curve, and a third regime in which MT increases infiltration, but the response is insensitive to particular features, and more affected by the average slopes. The regimes are the product of the interplay between small (MT) and large scale (slope) properties. Furthermore, the results suggest that hydrological signatures can be interpreted and explained by the spatiotemporal variation of surface connectivity. KW - microtopography KW - surface roughness KW - runoff-infiltration partitioning KW - runoff generation Y1 - 2021 UR - https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020WR028127 U6 - https://doi.org/10.1029/2020WR028127 SN - 1944-7973 VL - 57 IS - 7 ER - TY - GEN A1 - Kästner, Karl A1 - Caviedes-Voullieme, Daniel A1 - Frechen, Tobias Nanu A1 - Hinz, Christoph T1 - Theory and empirical evidence for the irregularity of self-organized vegetation patterns T2 - EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022 N2 - In arid environments, vegetation tends to self-organize into patches separated by bare soil. This is necessitated by the lack of water for sustaining a continuous vegetation cover and facilitated by the attraction of water from barren interpatch areas by the vegetation. This process is a positive feedback which introduces spatially heterogeneity into otherwise homogeneous environments, characterised by regular patterns. These patterns are typically considered to be periodic and distinguished on hand of their wavelength. Such patterns have so far been studied with numerical models which generate periodic patterns in homogeneous environments. However, environments are rarely homogeneous, as topography and soil-hydraulic properties vary in space. This raises the questions to which degree heterogeneity of vegetation is self-organized or imposed by the environment, and how environmental heterogeneity interacts with the self-organization process. In contrast to the persisting conceptual model of periodic patterns, natural vegetation exhibit a high degree of irregularity. Several studies have linked this irregularity to heterogeneity in the environment, but a comprehensive theory for analysing the irregularity has not yet been established. Furthermore remains the extend of irregularity unexplored on a global scale. To fill this gap, we, demonstrate empirically the global prevalence of irregularity in vegetation patterns and find that natural vegetation patterns are stochastic, rather than periodic. We then propose a stochastic framework to conceptually describe and measure the regularity, based on the spectral density of the patterns. In addition to the dominant wavelength, measuring the spatial scale, it reveals a novel parameter, measuring the regularity. The parameter is determined by the correlation structure and discriminates gradually between the limit cases of periodicity and white noise. Applied to natural and computer-generated patterns, we find that the former are highly irregular, while the latter are close to periodic. We reproduce the stochasticity of patterns with numerical models by introducing spatial heterogeneity of the model coefficients. We provide a fresh look at the nature of vegetations patterns and present a comprehensive theory for a more holistic understanding of self-organized systems. Y1 - 2022 U6 - https://doi.org/10.5194/egusphere-egu22-11905 ER - TY - GEN A1 - Kästner, Karl A1 - Hinz, Christoph A1 - Caviedes-Voullième, Daniel A1 - Frechen, Tobias Nanu A1 - Vijsel, Roeland C. van de T1 - A metaanalysis of the regularity of environmental spatialpatterns and a theory relating them to stochastic processes T2 - EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023 Y1 - 2023 UR - https://meetingorganizer.copernicus.org/EGU23/EGU23-5817.html U6 - https://doi.org/10.5194/egusphere-egu23-5817 ER - TY - GEN A1 - Shlewet, Marlin A1 - Caviedes-Voullième, Daniel A1 - Kästner, Karl A1 - Hinz, Christoph T1 - Effects of urban structures on spatial and temporal flood distribution T2 - EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023 Y1 - 2023 UR - https://meetingorganizer.copernicus.org/EGU23/EGU23-9498.html U6 - https://doi.org/10.5194/egusphere-egu23-9498 ER - TY - GEN A1 - Shlewet, Marlin A1 - Kästner, Karl A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Einfluss urbaner Strukturen auf die räumliche und zeitliche Dynamik pluvialer Fluten T2 - Abstract-Band, Tag der Hydrologie 2023, Nachhaltiges Wassermanagement – Regionale und Globale Strategien, 22. & 23.03.2023, Ruhr-Universität Bochum & Hochschule Bochum Y1 - 2023 UR - https://www.ruhr-uni-bochum.de/tdh2023/mam/content/tdh-2023-abstractband-18032023_v2.pdf ER - TY - GEN A1 - Kästner, Karl A1 - Vijsel, Roeland C. van de A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Unravelling the spatial structure of regular environmental spatial patterns T2 - EGU General Assembly 2024, Vienna, Austria & Online, 14-19 April 2024 N2 - Spatial patterns where patches of high biomass alternate with bare ground occur in many resource-limited ecosystems. Especially fascinating are regular patterns, which are self-similar at a lag distance corresponding to the typical distance between patches. Regular patterns are understood to form autogenously through self-organization, which can be generated with deterministic reaction-diffusion models. Such models generate highly regular patterns, which repeat at the characteristic wavelength and are therefore periodic. Natural patterns do not repeat, as they are noisy and as the patch size and spacing vary. Natural patterns are therefore usually perceived as perturbed periodic patterns. However, the self-similarity of natural patterns decreases at longer lag distances, which indicates that their spatial structure is not a perturbed periodic structure originating through deterministic processes. Here, we provide an overview of our recent work on the spatial structure and formation of natural environmental spatial patterns as a basis for discussion: First, we develop a statistical periodicity test and compile a large dataset of more than 10,000 regular environmental spatial patterns. We find that neither isotropic (spotted) nor anisotropic (banded) patterns are periodic. Instead, we find that their spatial structure can be well described as random fields originating through stochastic processes. Second, we recognize the regularity as a gradually varying property, rather than a dichotomous property of being periodic or not. We develop a method for quantifying the regularity and apply it in a metastudy to a set of natural and model-generated patterns found in the literature. We find that patterns generated with deterministic reaction-diffusion models do not well reproduce the spatial structure of environmental spatial structure, as they are too regular. Third, we develop an understanding of pattern formation through stochastic reaction-diffusion processes, which incorporate random environmental heterogeneities. We find that regular patterns form through filtering of the environmental heterogeneities and identify stochastic processes which reproduce both isotropic and anisotropic patterns. Y1 - 2024 U6 - https://doi.org/10.5194/egusphere-egu24-3412 PB - Copernicus GmbH ER -