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Abbildung 4 in Praktische Hinweise und Empfehlungen zur Anwendung von Malaisefallen für Insekten in der Biodiversitätserfassung und im Monitoring

Abbildung 4. Grosse Blutbiene (Sphecodes albilabris (FABRICIUS, 1793)), hier auf Feld-Mannstreu (Eryngium campestre L.), als Beispiel für einen Hautflügler, der mit Malaisefallen nachgewiesen werden kann (© M. Sorg/EVK)

Abbildung 2 in Praktische Hinweise und Empfehlungen zur Anwendung von Malaisefallen für Insekten in der Biodiversitätserfassung und im Monitoring

Abbildung 2. Die erst kürzlich neu entdeckte Trauermückenart Ctenosciara alexanderkoenigi HELLER & RULIK, 2016 (Diptera: Sciaridae) aus Malaisefallenfängen. [Creative Commons Lizenzvertrag: Zoologisches Forschungsmuseum Alexander Koenig / GBOL. Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International Lizenz]

Abbildung 3. Lokal erfassbares Spektrum von Artengruppen der Insekten aus der Vorsortierung von 20 in Praktische Hinweise und Empfehlungen zur Anwendung von Malaisefallen für Insekten in der Biodiversitätserfassung und im Monitoring

Abbildung 3. Lokal erfassbares Spektrum von Artengruppen der Insekten aus der Vorsortierung von 20 Malaisefallen am südwestlichen Dinkelbergrand (nach Daten aus DOCZKAL 2017).

Abbildung 1 in Praktische Hinweise und Empfehlungen zur Anwendung von Malaisefallen für Insekten in der Biodiversitätserfassung und im Monitoring

Abbildung 1. Malaisefalle im NSG/FFH Gebiet Egelsberg bei Krefeld, Natura 2000-Gebiet Nr. DE-4605-302 (© M. Sorg/ EVK).

opencc-by-4.0Jul 2023View details →

EnviroStream: A Stream Reasoning Benchmark for Climate and Ambient Monitoring

Stream Reasoning (SR) focuses on developing advanced approaches for applying inference to dynamic data streams; it has become increasingly relevant in various application scenarios such as IoT, Smart Cities, Emergency Management, and Healthcare, despite being a relatively new field of research. The current lack of standardized formalisms and benchmarks has been hindering the comparison between different SR approaches.  We propose a new benchmark, called EnviroStream, for evaluating SR systems on weather and environmental data from two European cities.  The benchmark includes queries and datasets of different sizes. We adopt I-DLV-sr, a recently released SR system based on Answer Set Programming, as a baseline experiment. We illustrate how the queries can be modeled via I-DLV-sr input language and report evaluation times. We also assess continuous online reasoning via a web application. ############################################################################################ <ul> <li>Data can and queries can be also downloaded via the GitHub repository: <a href="https://github.com/DeMaCS-UNICAL/EnviroStream">https://github.com/DeMaCS-UNICAL/EnviroStream</a></li> <li>Real-time data can be visualized via the following link: <a href="https://experiments.demacs.unical.it/">https://experiments.demacs.unical.it/</a></li> </ul>

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Data from: Long term monitoring reveals the importance of large, long unburnt areas and smaller fires in moderating mammal declines in fire-prone savanna of northern Australia

Biodiversity loss is often attributable to multiple interacting pressures that are moderated across environmental gradients. These processes contribute to complex responses that are challenging to interpret and understand. Well-designed and well-implemented monitoring can play a vital role in this but is rarely undertaken. Mounting evidence suggests that current fire regimes across savanna ecosystems have contributed to the decline of a range of biota. Hence, contemporary fire regimes are at odds with conservation goals. Using an extensive spatio-temporal monitoring dataset from three large National Parks in northern Australia, we applied generalised linear mixed models to examine: 1) trends in mammal richness and abundance through time and how these vary across environmental gradients such as productivity or landscape position (e.g., terrain ruggedness); and 2) how fire, a potential driver, is moderated by environmental gradients. Across 24-years, major declines in mammal richness and abundance were observed with greater reductions in less rugged and less mesic habitats. Patterns of decline were related to multiple aspects of fire regimes, but not changes in vegetation structure and composition, or the arrival of Cane Toads Rhinella marina and concomitant poisoning of predatory animals during consumption. More pronounced declines occurred in sites that were exposed to larger fires, had less long unburnt (5 years without fire) vegetation, and were more distant from large, long unburnt patches. Relationships between mammal persistence and fire varied among vegetation communities, with the strongest fire effects observed in lowland woodland – relatively drier with few barriers to fire spread – where the availability of long unburnt areas moderated declines more than in other vegetation communities. Synthesis and applications. Current fire regimes are contributing to mammal declines in northern Australian savanna. Collectively, our results highlight: 1) the value of long term monitoring, and importance of considering landscape position when assessing faunal responses to landscape-level perturbations like fire; 2) that significant improvements in fire regimes are required to ameliorate mammal declines; and 3) the need to shift management focus from retaining small, short-lived unburnt patches towards preserving relatively large contiguous areas of long unburnt habitat, particularly in less rugged lowland and sandstone woodlands.

opencc-zeroJul 2023View details →

opencc-by-4.0Jul 2023View details →

Developing and Study of on-line Biotoxicity Sensing and Control Unit for Wastewater Treatment, based on a Cell Viability Monitoring Assay

The quality of industrial, municipal or hospital waters varies greatly throughout the days and seasons. Because usually one of the first steps of water treatment plants (WWTPs) is biological treatment (after mechanical cleaning) it is vital that this step operates at full capacity. However, toxic compounds such as antibiotics, which are in use for human consumption or animal agriculture can greatly disrupt this stage of cleaning due to their antibiological nature of operation. Technion has developed a system in which toxicity to bacteria is measured on-line. It is based on following spectral changes in a dye, which is reduced as part of bacterial metabolism, which depends on the level of toxicity. The measured toxicity values are fed to a PID controller, which controls the operation of an AOP reactor. This system was developed as part of "Project O", a H2020 program of the European Commission.

Figure 12 in Two new species of monitor lizards (Squamata: Varanus) endemic to the Louisiade and Tanimbar Archipelagos with a key to the subgenus Euprepiosaurus

Figure 12. Adult Varanus tanimbar sp. nov. (WAM 109896) Lorulun, Yamdena Island (photo Richard How).

Figure 11 in Two new species of monitor lizards (Squamata: Varanus) endemic to the Louisiade and Tanimbar Archipelagos with a key to the subgenus Euprepiosaurus

Figure 11. Juvenile Varanus tanimbar sp. nov. caught by local hunters at Saumlaki, Yamdena (photo VW).

Figure 3 in Two new species of monitor lizards (Squamata: Varanus) endemic to the Louisiade and Tanimbar Archipelagos with a key to the subgenus Euprepiosaurus

Figure 3. Dorsal, ventral and head profile of the holotype (ZMUT Sa197) of Varanus louisiadensis sp. nov.

Figure 2 in Two new species of monitor lizards (Squamata: Varanus) endemic to the Louisiade and Tanimbar Archipelagos with a key to the subgenus Euprepiosaurus

Figure 2. Linear discriminant analysis showing morphospaces for members of the Varanus indicus group based on scalation characters P, Q, R, S, T, N, XY and m.

Figure 1 in Two new species of monitor lizards (Squamata: Varanus) endemic to the Louisiade and Tanimbar Archipelagos with a key to the subgenus Euprepiosaurus

Figure 1. Map of the western Pacific region showing the geographic ranges of the species of the Varanus indicus group.

Figure 10 in Two new species of monitor lizards (Squamata: Varanus) endemic to the Louisiade and Tanimbar Archipelagos with a key to the subgenus Euprepiosaurus

Figure 10. Adult Varanus tanimbar sp. nov. male killed by local hunters near Saumlaki, Yamdena (photo VW).

Figure 7 in Two new species of monitor lizards (Squamata: Varanus) endemic to the Louisiade and Tanimbar Archipelagos with a key to the subgenus Euprepiosaurus

Figure 7. Map of the Papuan region (A) with the Tanimbar Islands (B) and Louisiade Archipelago (C) enlarged. The type locality of Varanus louisiadensis sp. nov. on Misima island is indicated with a filled circle, and additional collection localities for the paratypes on Sudest and Rossell are indicated by open circles. The type locality of V. tanimbar sp. nov., Latdalam, is indicated by a filled star, and the collection locality of one of the paratypes at Adaut, Selary Island, with an open star.

opencc-by-4.0Aug 2023View details →

CROSMOD project "Crop Stress Monitoring in the semi-arid context of Doukkala, Morocco" supported by ESA and AUC in the framework of EO AFRICA R&D Facility

The CROSMOD project “Crop Stress Monitoring in the semi-arid context of Doukkala, Morocco” supported by ESA and AUC in the framework of EO AFRICA R&D Facility, aimed at developing a procedure for crop yield estimates and extreme events crops shocks monitoring or pest and diseases by integrating multiple satellite data and water-energy-crop modelling, able to support farmers precision agriculture for the case of the Doukkala Irrigation area in Morocco. The project was run by: Chiara Corbari and Nicola Paciolla from Politecnico di Milano (Italy); and Fatima-ezzahra Elghandour and Youssef Houali from Chouaib Doukkali University (Morocco). The dataset report the results from the three case studies, which are cultivated fields with alfalfa, sugar beet and wheat in Morocco (LE, H, net radiation, land surface temperature, ET, potential irrigation, LAI, soil moisture) generated from FEST-EWB-SAFY model. The crop-energy-water balance FEST-EWB-SAFY model (Corbari et al., 2022) couples the distributed energy-water balance FEST-EWB (Corbari et al, 2011), which allows computing continuously in time and distributed in space both soil moisture and evapotranspiration fluxes, and the SAFY (Duchemin et al, 2008), simple model for yield prediction and plant development. FEST-EWB is based on the system of energy-water balances equations which are written in terms of a LST that allows closing the energy balance equation, so that this model internal variable can be directly compared with EO LST for model parameters calibration (Corbari & Mancini, 2014). The crop growth simple model (SAFY) (Duchemin et al, 2008) simulate yield and LAI prediction based on light-use efficiency theory with leaf partitioning function. The code was developed by Chiara Corbari and Nicola Paciolla from Politecnico di Milano (Italy). [1] Corbari, C., Ravazzani, G. and Mancini, M. (2011), A distributed thermodynamic model for energy and mass balance computation: FEST–EWB. Hydrol. Process., 25: 1443-1452. <a href="https://doi.org/10.1002/hyp.7910">https://doi.org/10.1002/hyp.7910</a> [2] Corbari, C., Ben Charfi, I., Al Bitar, A., Skokovic, D., Sobrino, J.A., Perelli, C., Branca, G., Mancini, M. (2022), A fully coupled crop-water-energy balance model based on satellite data for maize and tomato crops yield estimates: The FEST-EWB-SAFY model, Agr. Wat. Man., 272: 107850. <a href="https://doi.org/10.1016/j.agwat.2022.107850%5Cn">https://doi.org/10.1016/j.agwat.2022.107850\n</a> [3] Corbari, C., Mancini, M., 2014. Calibration and validation of a distributed energy water balance model using satellite data of land surface temperature and ground discharge measurements. J. Hydrometeorol. 15, 376–392. <a href="https://doi.org/10.1175/JHM-D-12-0173.1">https://doi.org/10.1175/JHM-D-12-0173.1</a> [4] Duchemin, B., Maisongrande, P., Boulet, G., Benhadj, I., 2008. A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index. Environ. Modell. Softw. 23(7), 876-892. <a href="https://doi.org/10.1016/j.envsoft.2007.10.003">https://doi.org/10.1016/j.envsoft.2007.10.003</a>

opennotspecifiedJul 2023View details →

Figure 2 in Future of DNA-based insect monitoring

Figure 2. The four crucial areas where concerted actions are required are (i) DNA reference database generation to fill the dark taxa barcode gaps, (ii) a collective framework for method standardisation and the identification of gold-standard tools and indices for terrestrial monitoring, (iii) scaling up monitoring efforts by lowering the barrier to participation through citizen science engagement and technological developments, and (iv) integration of molecular tools with non-genetic monitoring technologies to scale up insect monitoring and retrieve biomass and sex information simultaneously (middle panel). Abbreviation: LIDAR, laser imaging, detection, and ranging.

opennotspecifiedJul 2023View details →

Figure I in Future of DNA-based insect monitoring

Figure I. Standing on the shoulders of giants – three significant pioneering research developments have paved the way for DNA-based insect monitoring: the discovery of DNA barcoding for species identification, bulk insect metabarcoding for large-scale and rapid species identification, and overcoming PCR biases with PCR-free shotgun metagenomics. Abbreviation: mtDNA, mitochondrial DNA.

opencc-by-4.0Sep 2023View details →

Dataset for "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments"

The dataset contains the data used in the article "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments". A low-cost monitoring system composed of 14 monitoring stations was positioned at the official monitoring station of Torino Rubino in the city of Turin (Italy). The official station is managed by the environmental agency ARPA Piemonte. Each low-cost station contains four low-cost light-scattering PM sensors (Honeywell HPMA115S0-XXX), one temperature and relative humidity sensor (DHT22), and one atmospheric pressure sensor (BME/BMP280). The sampling time of the PM sensors was set to one second, while the other sensors generated measurements every 3-4 seconds. The official monitoring station uses both a gravimetric and a beta attenuation instrument for measuring PM. The data contained in this dataset was collected from October 2020 to November 2021. It contains the PM2.5, relative humidity, and temperature measurements of the low-cost monitoring system and the official measurements of the beta attenuation device. Measurements of low-cost sensors are expressed in UTC, while official measurements are expressed in UTC+1. Official PM measurements can be also found at https://aria.ambiente.piemonte.it/qualita-aria/dati.