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UID:pretalx-foss4g-europe-2025-CJGTAD@talks.staging.osgeo.org
DTSTART;TZID=CET:20250716T143000
DTEND;TZID=CET:20250716T150000
DESCRIPTION:This study explores the application of the open-source InVEST (
 Integrated Valuation of Ecosystem Services and Tradeoffs) [1] tool to mode
 l ecosystem services in Armenia\, utilizing a scenario-based approach. By 
 simulating two  hypothetical scenarios\, where all natural terrestrial lan
 d cover classes are replaced with bare ground or croplands\, the study emp
 hasizes the critical role of terrestrial  ecosystems in ecosystem service 
 provisioning. The results are published through Web GIS platforms powered 
 by open-source framework NextGIS Web (https://github.com/nextgis/nextgiswe
 b)\, providing an interactive medium for engaging civil society and foster
 ing public awareness. This integration of advanced modeling techniques wit
 h accessible web-based dissemination aims to influence strategic policy-ma
 king in forest management\, water resource allocation\, and urban planning
 . The findings highlight the potential of scenario analysis and Web GIS to
  support sustainable development by illustrating the value of ecosystem se
 rvices to both policymakers and the public.\n\nStudy scope\n\nEcosystem se
 rvices\, the benefits humans derive from nature\, are crucial for supporti
 ng human well-being [2]. In the context of Armenia\, a country with divers
 e landscapes and significant environmental challenges\, understanding and 
 sustainable managing these services is vital. The widely discussed bill in
  Armenia since the beginning of 2025\, "On the Launch of the Process of Ac
 cession of the Republic of Armenia to the European Union"\, increases the 
 need to raise public awareness about issues of sustainable use of ecosyste
 ms\, maintaining ecosystem services and biodiversity protection \nThis stu
 dy employs the InVEST tool\, an open-source software suite designed for ec
 osystem service modeling\, to assess critical services on example of Sedim
 ent Delivery Ratio\, Seasonal Water Yield\, Urban Cooling\, and Urban Floo
 d Risk Mitigation models. By adopting a scenario-based approach\, we aim t
 o estimate the physical volume of ES provided by natural ecosystems and ch
 anges in it from 2017 and 2023. Our approach involves several key steps: d
 ata collection\, scenario development\, models parametrization\, statistic
 s calculations over model outcomes\, mapping and results publishing via We
 b GIS. \n\nMaterials and methods\n\nFirst\, we collected geospatial data r
 elevant to the four ecosystem services\, including land cover\, relief\, s
 oil properties\, climate data\, and urban infrastructure. We used only glo
 bal public domain datasets and public domain Armenian sources to increase 
 study transparency and reproductivity. Source datasets were transformed to
  meet different scenarios conditions\, for example land cover dataset was 
 recalculated to scenarios “all natural vegetation turns to bare land” 
 and “all terrestrial land cover classes except built-up areas turn to cr
 opland”.\nThen\, we calibrated four InVEST models to reflect the specifi
 c conditions of Armenia\, ensuring accurate simulations of each service un
 der different scenarios. Selected InVEST models:\n1. Sediment Delivery Rat
 io (SDR) model evaluates how well a land area can prevent sediment from be
 ing eroded and transported\, based on factors like terrain\, climate\, veg
 etation\, and land management practices\n2. Seasonal Water Yield model cal
 culates the amount of water generated by a watershed and delivered to stre
 ams. Its main outputs are quickflow\, local recharge\, and baseflow. Quick
 flow measures rainfall that flows over the land surface immediately or sho
 rtly after rain. Local recharge quantifies water that infiltrates the soil
 \, minus what is lost to evaporation or vegetation use. Baseflow accounts 
 for water reaching streams more slowly via underground pathways\, includin
 g during dry periods. The model relies on inputs such as elevation\, soil 
 properties\, land cover\, rainfall patterns.\n3. Urban Cooling model evalu
 ates heat mitigation by calculating an index based on factors like shade\,
  evapotranspiration\, surface reflectivity (albedo)\, and proximity to coo
 ling areas such as parks.\n4. Urban Flood Risk Mitigation model estimates 
 the reduction in runoff\, or the volume of stormwater retained at each pix
 el relative to the total storm volume\, based on land cover and soil prope
 rties.\n\nOutcomes of all models under different scenarios were mapped and
  published as web maps. Also\, statistics for the most significant outputs
  were calculated for each province and major watershed basin of Armenia.\n
 \nResults and Discussion\n\nThe scenario analysis revealed significant var
 iations in ecosystem service delivery under different hypothetical scenari
 os. Replacing natural vegetation with bare land\, for example\, led to inc
 reased sediment delivery and reduced baseflow\, highlighting the protectiv
 e role of forests and grasslands in maintaining soil stability and water s
 upply.\nThe Urban Flood Risk Mitigation model indicated that natural veget
 ation  could lower flood risk\, protecting densely populated areas from ex
 treme rain events.\nPresented in the form of maps and connected statistica
 l reports\, these scenarios are very illustrative of the role of ecosystem
 s and how dramatic the effects of forest destruction or large-scale agricu
 ltural expansion can be. So\, to maximize the impact of our findings\, we 
 utilized the open-source Web GIS framework NextGIS Web to publish the resu
 lts as interactive web maps. Its advanced integration with desktop tool QG
 IS\, which we used as a primary tool of mapping\, data preparation and pos
 t-processing\, saved a lot of time — once being prepared in QGIS\, maps 
 are ready to be published on the web. From the point of view of end-users\
 , this platform allows them to explore the data visually on the web-maps\,
  fostering greater understanding and engagement. By making the results pub
 licly accessible\, we aim to raise awareness about the importance of ecosy
 stem services and encourage informed decision-making among policymakers an
 d the general public.\n\nOur study demonstrates the utility of scenario-ba
 sed modeling and Web GIS in supporting sustainable resource management. Th
 e insights gained from the InVEST models can inform policy decisions in se
 veral key areas such as forest management\, water resource management\, ag
 ricultural practices and urban planning. Open-source technologies and publ
 ic domain data as a core of the study open wide prospects for reproducing 
 similar research for any other country.\n\nSource data and modeling outcom
 es are available for public access here: https://bccarmenia.nextgis.com/re
 source/113/display?panel=layers
DTSTAMP:20260527T184226Z
LOCATION:PA01 (Quarticle)
SUMMARY:Modeling ecosystem services in Armenia using InVEST: a scenario-bas
 ed approach with NextGIS Web integration for public awareness and engageme
 nt - Eduard Kazakov
URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/CJGTAD/
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UID:pretalx-foss4g-europe-2025-EAMSMA@talks.staging.osgeo.org
DTSTART;TZID=CET:20250717T110000
DTEND;TZID=CET:20250717T113000
DESCRIPTION:The most popular open-source desktop GIS platform\, QGIS (https
 ://qgis.org/)\, offers rich functionality in mapping\, geospatial data edi
 ting\, and symbolization\, making it one of the industry standards. Howeve
 r\, collaborative work remains challenging\, particularly in server-side d
 ata storage with seamless desktop synchronization\, conflict resolution of
  edits from different users\, and tracking data changes history.\n\nWe dev
 elop a set of open-source components to provide a smooth process for simul
 taneous multi-user data editing from QGIS and web maps. NextGIS Web (https
 ://github.com/nextgis/nextgisweb) is a Web GIS framework with extensive ca
 pabilities in storing and publishing geospatial data\, including an advanc
 ed user permissions management system and built-in data version control fo
 r vector layers. It uses QGIS as a renderer\, ensuring almost full support
  of QGIS symbology. NextGIS Connect (https://github.com/nextgis/nextgis_co
 nnect) is a QGIS plugin that provides seamless integration between QGIS an
 d NextGIS Web\, enabling publishing QGIS projects as web maps\, connecting
  to web maps as QGIS projects\, direct server data editing from QGIS\, and
  interactive conflict resolution.\n\nIn this talk\, we will discuss the cu
 rrent state of the open-source ecosystem "NextGIS Web / NextGIS Connect / 
 QGIS\," demonstrate the mechanics that provide seamless multiuser data edi
 ting from QGIS\, and focus on how the underlying geospatial data version c
 ontrol works\, from its organization in the database to the end-users' abi
 lity to track data changes.
DTSTAMP:20260527T184226Z
LOCATION:SA01
SUMMARY:Multiuser mapping environment with geospatial data version control 
 based on QGIS and NextGIS Web - Eduard Kazakov\, Aleksei Novikov
URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/EAMSMA/
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BEGIN:VEVENT
UID:pretalx-foss4g-europe-2025-9XJH9S@talks.staging.osgeo.org
DTSTART;TZID=CET:20250717T163000
DTEND;TZID=CET:20250717T173000
DESCRIPTION:Slot for unscheduled talks. You can sign up by adding your name
  on the paper at EL11 (Geosolutions) room.
DTSTAMP:20260527T184226Z
LOCATION:EL11 (Geosolutions)
SUMMARY:Unscheduled talks - Iván Sánchez Ortega\, Matthias KUHN\, Salim B
 aidoun\, Eduard Kazakov\, Mick Larson\, Greta Shehu
URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/9XJH9S/
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