👇Check out the key highlights of our published paper - "Modelling Global Deforestation Using Spherical Geographic Automata Approach" By Bright Addae and Suzana Dragićević 🔗full paper: https://lnkd.in/dUpqa9Uw #landcover #gis
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🌳🛰️Dry forests, woodlands, and savannas take up more land cover globally than rainforests The dry tropics are home to over 1 billion people and teaming with biodiversity - a source of global carbon emissions and a carbon sink. However, it is poorly understood this net carbon balance and the effects globally 🌎 Professor Casey Ryan is the personal chair of land system science within the School of GeoSciences at Edinburgh and the Principal Investigator for the SECO project, funded by NERC: Natural Environment Research Council in 2021 and is still ongoing. SECO is using radar satellite data & ground measurements to build a dynamic carbon model of the dry tropics. Not only will this help mitigate climate change by mapping the carbon cycle, but preserving biodiversity, changes in vegetation, and the effects on the 1 billion people who live in the tropics. Here at The University of Edinburgh, we specialise in utilising satellite data to aid in environmental science (SENSE - Centre for Satellite Data in Environmental Science). Data-Driven Innovation Initiative School of GeoSciences #climate #change #Earth #observation #satellite #DDI #data #exploration #space #Edinburgh #radar #sustainability
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🌲🔍 Explore the fascinating science of dendrochronology in 'Living Time Machines: Counting Tree Rings'. Learn how tree rings unlock secrets of the past and provide invaluable data for environmental research. A must-read for environmentalists and scientists! https://lnkd.in/gMzAyMP2 #Dendrochronology #EnvironmentalScience #TreeRings
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#NewPaperAlert 📄📃 📣 Are you working on vegetation trend detection and aiming to identify the potential spatiotemporal drivers influencing these trends? Check out my new paper out in Communications Earth & Environment journal that introduces a Detection, Causation and Attribution (DCA) framework. 👉 https://lnkd.in/gtUHF3dQ 1️⃣ The proposed multi-stage multi-model approach — combining TSS-RESTREND, Granger Causality and Random Forest models — enables the detection of vegetation trends, quantification of driver contributions and attribution to key climate and land use forcings at spatial/regional scales. 2️⃣ The proposed framework when tested in Kazakhstan (KZ) revealed that ~1.14 million sq.km are undergoing vegetation degradation, with Grazing and Snow cover variability playing a dominant role in about 44% of these degraded areas. 3️⃣ The proposed approach allows for it's application across various regions, ecosystems and spatial resolutions, leveraging open access datasets. Sincere thanks to Ranjeet John Jiquan Chen Preethi Konkathi Srinivas Kolluru, Ph.D. Geoffrey Henebry Jingfeng Xiao Sakshi Saraf khushboo jain and Maira Kussainova Springer Nature Group Nature Portfolio #research #kazakhstan #degradation #vegetation #machinelearning #statisticalanalysis #socioeconomic
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Passionate Soil Scientist from Kazakhstan | Leading International and National Agricultural and Environmental Projects as PI & Co-PI.
📢 **New Publication Alert**: Thank you, Venkatesh Kolluru, for sharing this groundbreaking research! The introduction of the Detection, Causation, and Attribution (DCA) framework is a significant advancement in vegetation trend detection and understanding the underlying drivers. I highly recommend reading and citing this paper, especially for those involved in climate resilience, land use, and environmental analysis. The insights gained from the application in Kazakhstan are particularly relevant for similar regions worldwide. Don't miss out on this valuable paper: 👉 https://lnkd.in/gtUHF3dQ #Research #Kazakhstan #Degradation #Vegetation #MachineLearning #StatisticalAnalysis #Socioeconomic
#NewPaperAlert 📄📃 📣 Are you working on vegetation trend detection and aiming to identify the potential spatiotemporal drivers influencing these trends? Check out my new paper out in Communications Earth & Environment journal that introduces a Detection, Causation and Attribution (DCA) framework. 👉 https://lnkd.in/gtUHF3dQ 1️⃣ The proposed multi-stage multi-model approach — combining TSS-RESTREND, Granger Causality and Random Forest models — enables the detection of vegetation trends, quantification of driver contributions and attribution to key climate and land use forcings at spatial/regional scales. 2️⃣ The proposed framework when tested in Kazakhstan (KZ) revealed that ~1.14 million sq.km are undergoing vegetation degradation, with Grazing and Snow cover variability playing a dominant role in about 44% of these degraded areas. 3️⃣ The proposed approach allows for it's application across various regions, ecosystems and spatial resolutions, leveraging open access datasets. Sincere thanks to Ranjeet John Jiquan Chen Preethi Konkathi Srinivas Kolluru, Ph.D. Geoffrey Henebry Jingfeng Xiao Sakshi Saraf khushboo jain and Maira Kussainova Springer Nature Group Nature Portfolio #research #kazakhstan #degradation #vegetation #machinelearning #statisticalanalysis #socioeconomic
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The European Geosciences Union (EGU) annual general assembly in Vienna is, as every year, a great place to gather, especially for its interdisciplinary potential Also in A(nta)rctic terms, a lot of ground (literally) is covered. Yet, since a while I was searching for "permafrost biodiversity sessions" - well say no more! Initiated by Sylvain Monteux and colleagues, we took that lack of Arctic soil-based biology sessions and hence decided to convene a session with a focus on cold-adapted soil biodiversity and functionality (https://lnkd.in/eHqmv-h2). Please consider our session and share it with your network. If you are not certain, if your work fits the scope, please feel free to contact me about it. --> Abstract submission until 15.01.2025, conference 27.04.-02.05.2025, so enough time still 😉 ---- Session Information: SSS4.3 Diversity and #biogeochemical impacts of soil organisms in #Arctic, #Antarctic and #alpine soils Convener: Sylvain Monteux, Co-conveners: Maria Scheel, Jan Frouz, Mathilde Borg Dahl, Stef Bokhorst Share: https://lnkd.in/eHqmv-h2
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The intricacies of our natural world demand new tools for exploration. Geospatial modelling has emerged as a game-changer in ecology, offering detailed insights into the dynamic interplay between space and ecological processes. Spatially Explicit Models are at the forefront of this revolution. These sophisticated models delve into the finer details of landscapes and biological processes, revealing nuances previously beyond our grasp. But the power doesn't stop there. Understanding the spatial dynamics of ecological components - from individual abundance to complex interactions - is vital for effective conservation and management. Ecosystem ecology, too, benefits immensely from this spatial lens. In general, by mapping nutrient flows and biomass across landscapes, we gain a deeper understanding of how different ecosystems connect and function as a whole. #mapping #ecosystem #geospatialmodelling #scitechpark
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The Wildlife Trusts Wildlife World Exciting new research that maps blue carbon habitats in UK seas. It's long been understood that ocean habitats play a key role in storing carbon from the atmosphere, but until now, nobody has known exactly how much ends up in kelp, seagrass meadows, salt marshes and sediment in the seabed. Quantifying this is the first step to minimising any damage caused by human activities such as commercial trawling to the most carbon-rich ecosystems in the ocean. ( More: https://lnkd.in/dx99Hnuz and https://lnkd.in/drpBBy5Z ) THE UNITED KINGDOM’S Marine Biological Association BLUE CARBON INVENTORY: University of St. Andrews
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Just a sample of my Historical GIS work on leaf-cutting ants in Brazil. This map shows the spatial relations between Atta bisphaerica’s range in the mid-twentieth century (from myrmecologists' mappings) and population density, proportion of enslaved people in the total population and major roads (which helps explain why this grass-cutting species advanced over forested areas) around 1870. Titled 'Creatures of the Clearings: Deforestation, Grass-Cutting Ants and Multispecies Landscape Change in Postcolonial Brazil', the article appeared last year in the journal Environment and History.
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As Guest Editors, Mewcha Amha Gebremedhin and Ayele A. Fenta, are thrilled to introduce a Special Issue of Remote Sensing titled "Remote Sensing for Ecohydrology." This Special Issue will provide insights into how remote sensing technologies can be effectively utilized to advance ecohydrology research, improve our understanding of how ecosystems interact with hydrological processes in response to natural and anthropogenic drivers, and support the development of solutions for sustainable water and ecosystem management. We invite researchers to join us in expanding knowledge at the intersection of ecology, hydrology, and technology. https://lnkd.in/gj_APqsm
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🌍📢 A new paper has been published! A collaboration between EuroGeoSurveys Experts and Department of Hydrology - GEUS highlights the vital role of open access to harmonised digital geoscience data in advancing geoEnergy, urban planning, resource management, disaster mitigation, ecosystem conservation, and sustainable development. 💧🌱#Sustainability #ClimateChange #GreenTransition #OpenAccess #GeologyForSociety 📖 Read the full paper here 👉https://bit.ly/3UUZR2m
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