Rashik Parmar’s Post

How a Trove of Whaling Logbooks Will Help Scientists Understand Our Changing Climate https://lnkd.in/e-8iRku4 #ushistory #whaling #climatechange 

Cooler, wetter parts of Pacific Northwest likely to see more fires, new simulations predict . Forests in the coolest, wettest parts of the western Pacific Northwest are likely to see the biggest increases in burn probability, fire size and number of blazes as the climate continues to get warmer and drier. #ScienceDailynews #InnovativeResearch #NextGenScience #ExploringFrontiers

From April 14th to 19th 2024, the European Geophysical Union’s general assembly will be held in Vienna. This year, I will present our FutureForest project. The subject matter should be close to everyone’s heart: using modern technological advances to make our forests more resilient to the ravages of climate change. FutureForest’s focus is that research always starts from observation: we need a reliable data collection point to make informed decisions based on observations. Have I intrigued you? Come and see me during session ITS1.14/ERE6.11 - Modelling and exploring forest ecosystems under future climate and management. Would you like to know more about one of the most important goals of FutureForest, namely the creation of a Forest Data Space for Europe? Then click here: https://lnkd.in/eGNez5CZ.

#Forests in the Mediterranean region face significant degradation and increasing vulnerability to climate change, population pressures, wildfires, and water scarcity. However, modeling their dynamics at a regional scale is challenging due to their high heterogeneity (e.g., age, species) in this region. In this work led by Daniela Dalmonech, we apply a stand-scale process-based model (3D-CMCC-FEM, available at https://lnkd.in/d9tdRb8n) in a spatially explicit manner at a 1 km spatial resolution in a Mediterranean region in southern Italy. Specifically, we developed a methodology to initialize 3D-CMCC-FEM, which involves the use of spatial information derived from the integration of #remotesensing (RS) data, national forest inventory data, and regional forest maps to characterize structural features of the main forest species. We demonstrate that the model can reproduce most of the spatial (approximately 2800 km2) and temporal (32 years in total) patterns of the observed GPP at both seasonal, annual, and interannual time scales, even at the species level. This capability makes it a valuable tool for forest and water yield management. see our the study here 👉https://lnkd.in/diPtBNaz Alessio Collalti Daniela Dalmonech Francesca Giannetti Consiglio Nazionale delle Ricerche

Read the new article..

Recently, a groundbreaking study by scientists at the Institute of Science and Technology Austria and the Max-Planck-Institute for Meteorology has shed light on the intricate mechanisms of cloud formation and their significant influence on tropical weather patterns. The study, published in the journal Science Advances, utilizes a high-resolution global climate model to comprehend better how the clustering of clouds and storms affects rainfall extremes in the tropics. https://lnkd.in/dBEhngsB

Swapan Mehra and I set the cameras rolling as we dove into all things climate and natural ecosystems with the wonderful Professor David Skole. Not sure I know anyone else with as much knowledge about the inter-sectionalities of climate, forestry, biodiversity, natural ecosystems, nature based solutions, measuring carbon, and spatial technologies as he does. Swapan though comes a close second and they're now working together with NASA - National Aeronautics and Space Administration! Give it a listen if you're interested in #nature #carbon #ecosystems #forests #biodiversity #climatescience #climatechange and #stories. #VertiverTalks hosts conversations on the complexity we wade in to cope with a rapidly changing climate. Michigan State University Iora Ecological Solutions VERTIVER #vertiver #conversations #climateaction #naturebasedsolutions

A new paper on mapping daily air temperature in the Hawaiian Islands was just published in the journal Earth and Space Science, led by East-West Center researchers Keri Kodama PhD and co-authored Ryan Longman PhD. Steep changes in island terrain and shifts in atmospheric conditions between sea level and high elevation create distinct challenges for producing continuously and automatically updated temperature maps in near-real-time in Hawaiʻi. The paper discusses how these challenges are addressed with a variety of methods for processing the data and adjusting the model that produces the temperature maps. High-quality, up-to-date temperature maps are important for applications such as the prediction of wildfire risk, the assessment of ecological hazards such as avian malaria, and resource management planning for agriculture. Check out the paper here: https://lnkd.in/gepF-E5n Kodama, K. M., Kourkchi, E., Longman, R. J., Lucas, M. P., Bateni, S. M., Huang, Y.-F., et al. (2024). Mapping daily air temperature over the Hawaiian Islands from 1990 to 2021 via an optimized piecewise linear regression technique. Earth and Space Science, 11, e2023EA002851. #hawaii #temperaturemonitoring #maps #appliedresearch #wildfires #hazards #resourcemanagement

"Using a #FireSpreadModel, we investigate how several different plausible projections of mid-21st century climate could alter fire regimes for the moist temperate forests of the #PacificNorthwest and bracket the range of possible fire regime shifts that could be expected in the region. The largest increases to burn probability and fire size are likely to occur in the cooler, wetter northern forests (the #OlympicPeninsula and #WashingtonNorthCascades) and the Oregon West Cascades, with more moderate changes for the Oregon Coast Range and Washington West Cascades."

👉🏼 Machine learning in soil nutrient dynamics of alpine grasslands 🤓 Lili Jiang 👇🏻 https://lnkd.in/eSiWeZX4 🔍 Focus on data insights: - Machine learning utilized for soil nutrient evaluation - Climate change effects on soil nitrogen and phosphorus balance - Impact of changing soil characteristics on nutrient availability 💡 Main outcomes and implications: - Enhanced understanding of soil nutrient dynamics in alpine grasslands - Improved strategies for grassland management - Potential for sustainable ecosystem development 📚 Field significance: - Climate change adaptation in alpine ecosystems - Advancements in machine learning applications for environmental studies 🗄️: #soilnutrients #machinlearning #climatechange #grasslandmanagement