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(English: see further below) Systeemschema van de standplaats: hoe milieudrukken de vegetatie via standplaatskenmerken beïnvloeden Het systeemschema van de standplaats is een visualisatietool en een databank over relaties tussen vegetatie, standplaatsfactoren en milieudrukken. Centraal staat welke standplaatsfactoren in welke milieucompartimenten (atmosfeer, bodem, waterbodem, grondwater, inundatiewater, oppervlaktewaterkolom) rechtstreeks of onrechtstreeks relevant zijn voor vegetatie. Deze tool biedt een schematische voorstelling van de milieucompartimenten met, voor de meeste milieudrukken die de Europees beschermde habitattypes in Vlaanderen aantasten: de standplaatsfactoren waarop de milieudruk rechtstreeks resp. onrechtstreeks doorwerkt; de richting waarin deze standplaatsfactoren onder de milieudruk evolueren; het milieucompartiment dat het eerst wordt beïnvloed. Het systeemschema van de standplaats werd uitgewerkt voor de milieudrukken die behoren tot de volgende klassen: ruimtebeslag (incl. bodemcompactie, verharding, herprofilering, grondverzet en veranderingen in bodemdynamiek) eutrofiëring verzuring wijziging van de grondwaterstand wijziging hydrologie via oppervlaktewater (incl. veranderingen in overstromingsduur of -frequentie, in stroomsnelheid, in waterpeil en in golfslagwerking) verzoeting en verzilting verontreiniging klimaatverandering (incl. zeespiegelstijging) De relaties, geïllustreerd in het systeemschema van de standplaats, zijn gebaseerd op gevestigde kennis (uit literatuur) over de ecologie van verschillende ecosystemen, gaande van droge tot aquatische milieus. Het systeemschema van de standplaats kan o.a. worden gebruikt om tot een wetenschappelijk onderbouwde selectie van standplaatsfactoren te komen. Bestanden tool: Microsoft Access 2003 databank (.mdb) incl. scripts in Visual Basic for Applications: systeemschema_standplaats_v0_1_0.mdb begeleidende toelichting: PDF bestand Herr_Vanderhaeghe_2022_toelichting_systeemschema_standplaats.pdf (Herr C. & Vanderhaeghe F. (2022). Toelichting bij het conceptueel systeemschema van de standplaats. Versie 0.1.0. 45 p.) Disclaimer Het systeemschema van de standplaats is oorspronkelijk ontwikkeld voor intern gebruik binnen het Instituut voor Natuur- en Bosonderzoek (INBO). Ondanks alle zorg die is besteed aan de tool, is dit te beschouwen als een eerste versie en kunnen we niet garanderen dat de informatie ten allen tijde volledig en/of juist zal zijn. Het Instituut voor Natuur- en Bosonderzoek kan niet aansprakelijk worden gesteld voor eventuele fouten en/of onjuistheden en voor directe of indirecte schade, van welke aard dan ook, die voortvloeit uit het gebruik van de tool. Gebruikers die problemen vaststellen (zowel technisch als inhoudelijk) worden verzocht om contact op te nemen met de auteurs. De MS Access databank bevat scripts in Visual Basic for Applications die nodig zijn voor de goede werking van de tool. De gebruiker kan de scripts inschakelen door te klikken op de knop “inhoud inschakelen” die bij de beveiligingswaarschuwing verschijnt. Bijdragen We verwelkomen iedereen die een bijdrage wil leveren aan de verdere ontwikkeling of optimalisering van deze tool. Aarzel niet om contact op te nemen met de auteurs. --------------------------------------------------------------------------------------------------------------------------------------------------------------------- Site System Scheme: representing how environmental pressures affect vegetation through site characteristics. The Site System Scheme is a visualization tool and a database about relationships between vegetation, site factors and environmental pressures. Its core indicates which site factors in which environmental compartments (atmosphere, soil, subaqueous soil, groundwater, inundation water, surface water column) are directly or indirectly relevant to vegetation. This tool provides a schematic representation of the environmental compartments and shows, for the main environmental pressures that affect the European protected habitat types in Flanders: which site factors are directly resp. indirectly influenced by the environmental pressure; in which direction these site factors evolve under the environmental pressure; which environmental compartment is affected first. The Site System Scheme has been developed for the environmental pressures belonging to the following classes: physical modification (incl. soil compaction, infrastructure, reprofiling, soil transport and changes in soil dynamics) eutrophication acidification change of groundwater level change of surface water hydrology (incl changes in flood duration or frequency, in surface water velocity, in water level and changes of wave impact) desalination and salinization pollution climate change (incl. sea level rise) The relationships illustrated in the Site System Scheme are based on established knowledge (from literature) about the ecology of different ecosystems ranging from dry to aquatic environments. The Site System Scheme can a.o. be used to obtain a well-informed selection of site factors. Files tool (in Dutch): Microsoft Access 2003 database (.mdb) incl. scripts in VBA: Systeemschema_Standplaats_v0_1_0.mdb explanatory note (in Dutch): PDF file: Herr_Vanderhaeghe_2022_toelichting_systeemschema_standplaats.pdf (Herr C. & Vanderhaeghe F. (2022). Toelichting bij het conceptueel systeemschema van de standplaats. Versie 0.1.0. 45 p.) Disclaimer The Site System Scheme was originally developed for internal use within the Research Institute for Nature and Forest (INBO). Despite all the care that has been taken with the tool, this version is to be considered as a first version and we cannot guarantee that the information will be complete and/or correct at all times. The Research Institute for Nature and Forest cannot be held liable for any errors and/or inaccuracies and for direct or indirect damage, of whatever nature, resulting from the use of the tool. Users who identify problems (both technical and related to content) are invited to contact the authors. The MS Access database contains scripts in Visual Basic for Applications that are necessary for the proper functioning of the tool. The user can enable the scripts by clicking the “enable content” button that appears with the security warning. Contribute We welcome anyone who wants to contribute to the further development or optimization of this tool. Do not hesitate to contact the authors. Deze tool wordt beheerd door het Instituut voor Natuur- en Bosonderzoek (INBO). This tool is maintained by the Research Institute for Nature and Forest (INBO).

NOTE: As of Mar 21, 2023 this record has been deprecated. Both source code and resulting data are now hosted in the same record (6014085). This record contains newer versions from what you can see in this record ------------- A Python port, including numerous model updates, of the Coastal Impacts and Adaptation Model, as described in Diaz 2016, along with the model inputs used in Diaz 2016. This code accompanies Depsky et al. 2022 (in prep.). See the manuscript for further details on model functionality and structure. See the Github repository for further documentation and the latest version of this code. pyCIAM, like CIAM, is a tool to estimate global economic impacts of sea level rise at fine resolution, accounting for adaptation and spatial variability and uncertainty in sea level rise. This model requires a number of socioeconomic and sea level rise inputs, organized by coastal "segment" and elevation. In Depsky et al. 2022, we develop the SLIIDERS datasets to serve this purpose; however, users may wish to alter and/or replace these datasets for their own purposes, especially if newer input data (used to generate SLIIDERS) becomes available.

Anthropogenic climate change is increasing rapidly and already impacting biodiversity. Despite the importance for future projections, understanding of the underlying mechanisms by which climate mediates extinction remains limited. We present an integrated approach examining the role of intrinsic traits vs. extrinsic climate change in mediating extinction risk for marine invertebrates over the past 485 million years. We found that a combination of physiological traits and the magnitude of climate change are necessary to explain marine invertebrate extinction patterns. Our results suggest that taxa previously identified as extinction resistant may still succumb to extinction if the magnitude of climate change is great enough. Funding provided by: National science research council (NERC)Award Number: NE/V011405/1 Funding provided by: Leverhulme PrizeAward Number: Funding provided by: Chinese Academy of Sciences Visiting Professorship for Senior International Scientists*Crossref Funder Registry ID: Award Number: 2021FSE0001

Jupyter notebooks and Python code used in the paper 'Assessment of Markov Decision Processes in Long-term Hydrothermal Scheduling of Single-reservoir Systems'

Version of the model used for publications: "Climate change will cause non-analogue vegetation states in Africa and commit vegetation to long-term change" doi:10.5194/bg-2020-179 "Large uncertainties in future biome changes in Africa call for flexible climate adaptation strategies" doi:10.1111/gcb.15390 {"references": ["Scheiter and Higgins, Global Change Biology (2009) doi:10.1111/j.1365-2486.2008.01838.x"]}

This repository contains a high spatial resolution database of spring onset indicators derived from the Extended Spring Indices (SI-x) phenological models as well as the code used to generate these phenological products. The SI-x models transform daily minimum and maximum temperatures into a set of consistent indices that track the timing of first leaf and first bloom for key indicator species, and that also allow the calculation of the so-called damage index by subtracting the date of first leaf from the date of the last freeze.This dataset is available at 1 km spatial resolution and covers American (1980 to 2022) and European regions (1950 to 2020).The first leaf and first bloom indices are validated with ground phenological observations collected over both regions.The American product is based on DAYMET version 4 (https://daymet.ornl.gov/) and the European region on a downscaled E-Obs database version 3 (ftp://palantir.boku.ac.at/Public/ClimateData).This product can support both scientists and decision makers in their quest to hind- and forecast climate change impacts in these areasIn the USA this product is recognized as an official climate change indicator (https://www.globalchange.gov/indicators/start-of-spring)An interactive visualization of this database is available here: https://emma.users.earthengine.app/view/spring-onsetFor more information see our publications:A Matlab© toolbox for calculating spring indices from daily meteorological data (https://doi.org/10.1016/j.cageo.2015.06.015 )Development and analysis of spring plant phenology products: 36 years of 1-km grids over the conterminous US (https://doi.org/10.1016/j.agrformet.2018.06.028)A long-term 1 km gridded database of continental-scale spring onset products (under review)

SECTOR is a Greenhouse Gas (GHG) Calculator for cropland based on the IPCC Tier 2 approach. This tool is presently available in EXCEL and – as other GHG Calculators -- requires inputs from the user on crop areas, yields and management. SECTOR has been developed in response to increasing interest in mitigation studies in cropland, in particular rice production. The tool offers a high range of flexibility in terms of sourcing emission and activity data as well as selecting a range of scales for aggregation. Moreover, SECTOR provides a streamlined framework for accelerated data input that will facilitate rapid assessments of multiple scenarios for domains with many spatial units. [Excerpt from the SECTOR User Manual]

This data set includes the numerical simulations undertaken by Zhi Gao for his BEng final year project and that underpin the publication by IM Viola, Z Gao and J Smith. Please read the Readme.txt file for more information.

Code and data associated with the manuscript by the same name. This analysis investigates differential flooding-related impacts from melting of the Antarctic and Greenland Ice Sheets. It investigates magnitude of population and land area flooded by each source, along with an assessment of the associated costs, based on the pyCIAM model (Depsky et al., 2023).