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An animal's habitat offers food and protection necessary for survival and reproduction and consequently impacts individual fitness. In birds, understanding nest site selection is critical to understanding a species' ecology and developing effective conservation management actions. The Superb Lyrebird (Menura novaehollandiae) is one of many endemic species extensively impacted by Australia's unprecedented 2019-20 megafires. Over a period of 5 months, an estimated 43% of the entire range of this slow-breeding species was burnt, with the biggest impact on the central subspecies M. n. novaehollandiae (55%). 4 months prior to these megafires, we conducted a field study of nest site habitat selection in the Superb Lyrebird within the Greater Blue Mountains World Heritage Area (15,400 km2): a key stronghold of the central subspecies of the Superb Lyrebird. We found that at the local scale, lyrebird nest sites were more likely to be found in habitats characterized by dense canopy trees and rich in rainforest elements such as vines and treeferns. At the landscape scale, lyrebird nests were most likely to be constructed in rainforest; this fire-sensitive habitat type made up only 1% of the Greater Blue Mountains World Heritage Area. The probability of nest occurrence also increased with slope. We also found that more than 74% of all nesting habitat within the Greater Blue Mountains World Heritage Area burned in the 2019-20 megafires, including 80% of areas of high suitability for nesting. These results suggest that the impact of these megafires on Superb Lyrebirds may be greater than currently thought. Given the importance of rainforest as nesting habitat for the superb lyrebird, managers should prioritize its restoration and protect it from future fire events. More broadly, our results illustrate how large-scale catastrophic events – such as megafires – can disproportionately affect habitats critical to specific points within an organism's life cycle. Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 1730791Funding provided by: University of WollongongCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001777Award Number: Funding provided by: Fulbright Program*Crossref Funder Registry ID: Award Number:

This research aims to understand the prototype usage and practical applicability for capturing and managing HCDs. This is a proof-of-concept tool which is trying to imrpove the reporting and fixing of HCDs. The uploaded document is the interview and post interview-survey questionnaire for the study.

Planifiez, gérez et partagez vos données. Quand et comment gérer vos données au cours de votre projet de recherche. Comment partager vos données le plus ouvertement possible: déterminer quelles données, quel entrepôt, quelle licence. Comment citer les données et aider les autres à citer vos données. __________________________ Cette check-liste existe en: Anglais, Français, Japonais, Portugais, Espagnol Votre "Parcours en science ouverte" en: Anglais, Français, Japonais, Portugais, Espagnol Liens vers toutes les check-listes disponibles: Pour les chercheur.e.s: Check-liste pour la Présence Numérique Check-liste pour la Documentation et la Citation des Données Check-liste pour la Documentation et la Citation des Logiciels Pour les équipes de recherche: Check-liste « Préparez votre équipe à la Science Ouverte » Check-liste « Outillez votre équipe pour la Science Ouverte » Check-liste « Développez des pratiques de sauvegarde dans l'équipe » Ce travail a été réalisé dans le cadre du projet PARSEC (Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas) financé par le Forum Belmont via la National Science Foundation, NSF, Grant 1929464, (USA), l'Agence Nationale de la Recherche, ANR (France), la Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brésil), et la Japan Science and Technology Agency, JST (Japon). Plan, manage and share your data. When and how to manage your data during your research project. How to share your data as openly as possible: determining which data, which repository, which license. How to cite data and help others cite your data. __________________________ This guideline in: English, French, Japanese, Portuguese, Spanish Your Journey to Open Science in: English, French, Japanese, Portuguese, Spanish List of all available checklists: For researchers: Digital Presence Checklist Data Documentation and Citation Checklist Software Documentation and Citation Checklist For research teams: Open Science Practices for Teams (Prepare) Open Science Resources and Guidance for Teams (Equip) Digital Objects Preservation Checklist for Teams (Preserve) This work is part of the Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC) project with funding provided by the Belmont Forum through the National Science Foundation, NSF, Grant 1929464, (US), Agence Nationale de la Recherche, ANR (France), Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brazil), and Japan Science and Technology Agency, JST (Japan).

This collection contains data on some estimated and mapped soil physical properties such as: clay, sand, pH, Cation Exchange Capacity (CEC), and organic carbon (OC) generated through predictive models using a developed framework that quantitatively assess the accuracy of data collected with proximal soil sensors and spectroscopic techniques such as visible near-infrared visNIR and portable X-ray Fluorescence (pXRF) spectroscopy. First, tools were provided to assist in the collation of freely available data such as elevation and satellite derived data as well as on-farm data produced with electromagnetic induction (EM) and gama radiometricts. Second, an automated site selection software was developed to collate and process covariate data to identify 25 samples sites across L'lara, a mixed-farming property located ~11 km Narrabri in NSW in 2020. Fieldwork and example mapping soil properties were conducted at L'lara using visNIR spectrocopy and pXRF spectrometers. A conditioned Latin hypercube sampling design was chosen to sample the distribution of the covariate space under both cropping and pasture on the 1,850 ha property. Covariate data supplied to the software included on-site EM, gamma radiometrics, yield, soil legacy data, plus elevation and satellite derived data. A soil inference system (SPEC-SINFERS) was developed, using other spectrally active properties through pedotransfer functions (PTFs) to predic further properties such as available water capacity (AWC) from sensor predicted properties. A large spectral library was construted with > 8,000 pre-existing soil samples predominantly from grain-growing regions of NSW and additional accession from Qld., Victoria and Tasmania and fieldwork data. Multi-depth mapping of soil properties and attributes (Depth-to pH constraint) was also investigated to provide agronomic interpretations to the produced soil maps and correlations with available yield data. The accuracy of mapped soil properties was tested under data-rich and data-poor scenarios. Calibration and validations of each scenario were made with laboratory data, available covariate data (elevation, satellite image) and with/without on-farm colleted EM and gamma data. RMSE was used in percentage change as reference to other studies. Mapped yield products revealed significant correlations for canola, chickpea and wheat in two paddocks over two growing seasons. Datasets generated for this project are stored in the RDS - GRDC_US00087 (\\shared.sydney.edu.au\research-data\PRJ-GRDC_US00087). Please contact Prof. Alex McBratney to request access to them.

In 2014, the Aceh provincial government enacted a Qanun Jinayat or Islamic Criminal Code. The Qanun came into force on 22 October 2015, one year later. The positions of Islam in the state and of Islamic law in the legal system have long been highly vexed issues in Indonesia. Given that Muslims are said to comprise around 85 to 90 per cent of Indonesia’s population, Muslim groups have long pushed for an Islamic state or for some type of formal recognition of Islam. The 2006 Aceh Special Autonomy Law authorises the Aceh government to ‘implement’ Islamic law in Aceh, expressly mentioning criminal law as being encompassed. The Qanun prohibits drinking, producing, selling or carrying alcohol, and giving it as a gift, although use of alcohol for medical purposes as prescribed by a doctor is permitted. The Qanun also appears to assert predominance over widely-recognised international human rights norms.