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class='inst-article-grid-view-container'> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170144175.54028237/v1"> <div class="blog-card__title"> Weather whiplash in a terrestrial polar ecosystem following the March 2022 Antarctic... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="John E Barrett" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABUFBMVEVSvIlRvIhRvIlRu4hTvIlVvYtUvIpWvYxWvYtUvYpMuYVC tX5Ft4A6sng8s3o7s3k+tHtEtn9NuoVbv496y6RcwJBCtn53yqKd2byQ1LOU 1baH0K1oxJhHt4FSu4iX1rj///+b2LsiqWjC59Xy+fZJuINTvIqR1LOV1re1 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Adams" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABdFBMVEXyYJHyX5HyX5DxX5DyYpLyZJTyZJPyY5PyYZLyYZHxU4jw SoHwS4PwS4LwToTxVInxXo/wUYfxWIvxVor1har3pMD2mLj3nbv1jbDzcJzw ToXxWYzxXY/0gqjzbJnxWIzwSID6ytr////84OrxV4vxXI797vP5wdT1ia3z bZrzb5v6ydn4tMvwTYT85e3zdZ/wUofwR4D6w9XvRH37zt3yZpXwU4j5u9D6 xtfvRn/vP3r3psH4r8jyZ5b5uM782uX6xNb+9vn6zd3+9PfuOnb3o7/6w9b7 0uD6zdz85Oz1kLL0gqn2krTtJWj72eXvO3fwUoj+9fj6y9v6x9j++vvyaZf+ 9/r+/Pz98PX+/f7++fr96/H3p8L1iK34rMX83ujuMnH3ob72m7ruNXPvQXv9 7fL6ydrwSoL++fvxWozyZZT70d/1hqvwUYb2mrn3nrz2lbXzd6H4qsT2k7Tz cp34ssr0f6bxV4rwSYHwTYPwT4UAAABtsOWiAAAAAWJLR0R7T9K1/AAAAAd0 SU1FB+gLFRAXGVsaKtUAAAGGSURBVDgR3cEHV9NQGAbg935vem9iDa1GZVUM n0UsiiatrRZEQNC69967DnDvX28xbQ94jn+A58HmYjrwf8KMQQdJwT/o5ax1 HgiAcD6xgTDYkt8aDhQQEERx2/aAWI9+tGPnrsGh4ZHRgCiVdo/tCSjoE9p4 XNfsLU/A5gd13whA9BnaeFL3V6YO6MG8xfQh1cOJR4MeoU2rOhbWinokX28M 61E91rQU9AhtWtX6THNWj4dz6QkdndekBKJHaNMFXVxUPTmDYqJLy6d0aNrR oEto09PaOrNwVs8lyXm9cDHWS01Hokto06q6y7UrerWQtrR17foNvRn5FGSE Nq3qVFiu3dJCUW/fuXvvvj6IcxRkDG08qQ8rlUf6+MlTffZ84EVBX4YAkRHa +JWuWaq3XyveuLfpO11ZdTTI0I9WZt9/+PgpWZ37/CUC/Ojrt+8/fKJLGDR+ hu1fDXoT7d8g6ZfjKKCgj17OWueBsI4C0M/5xDrCjLADgJAUbGDEGHQYg78M NpM/m/Ix6/0BO7IAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjQtMTEtMjFUMTY6 MjM6MjUrMDA6MDAGQFsJAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDI0LTExLTIx VDE2OjIzOjI1KzAwOjAwdx3jtQAAACB0RVh0c29mdHdhcmUAaHR0cHM6Ly9p bWFnZW1hZ2ljay5vcme8zx2dAAAAGHRFWHRUaHVtYjo6RG9jdW1lbnQ6OlBh Z2VzADGn/7svAAAAGHRFWHRUaHVtYjo6SW1hZ2U6OkhlaWdodAA2MDB63r21 AAAAF3RFWHRUaHVtYjo6SW1hZ2U6OldpZHRoADYwMOkv7egAAAAZdEVYdFRo dW1iOjpNaW1ldHlwZQBpbWFnZS9wbmc/slZOAAAAF3RFWHRUaHVtYjo6TVRp bWUAMTczMjIwNjIwNRcpo9wAAAATdEVYdFRodW1iOjpTaXplADE5NjgyQkJ7 ZjwCAAAAPHRFWHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAvbGV0dGVyX2F2YXRh cnMvMi9CQS8yNDJfOTZfMTQ1LzYwMC5wbmcuRIIAAAAAAElFTkSuQmCC " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/703895"><p class="blog-card__owner">John E Barrett</p></a> <p class='blog-card__remaining-text'>and 9 more</p> </div> </div> <time datetime="2023-12-01" class="blog-card__date">December 01, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170144175.54028237/v1"> <div class='blog-card__preview-content'> Record high temperatures were documented in the McMurdo Dry Valleys, Antarctica, on March 18, 2022, exceeding average temperatures for that day by nearly 30掳C. Satellite imagery and stream gage measurements indicate that surface wetting coincided with this warming more than two months after peak summer thaw and likely exceeded thresholds for rehydration and activation of resident organisms that typically survive the cold and dry conditions of the polar fall in a freeze-dried state. Such events may be a harbinger of future climate conditions characterized by warmer temperatures and greater thaw in this region of Antarctica, which could influence the distribution, activity, and abundance of sentinel taxa. Here we describe the ecological responses to this weather anomaly reporting on meteorological and hydrological measurements across the region and on biological observations from Canada Stream, one of the most diverse and productive ecosystems within the McMurdo Dry Valleys. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170110670.00606438/v1"> <div class="blog-card__title"> Beyond Traditional Drought Perspectives: Quantifying Environmental Droughts Using Heu... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Aman Srivastava" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABdFBMVEXiX1HiXlDiX1DhXlDiYFLiYlTiYVTiY1XhWkzfUEDhW0zi X1LiYVPfUULeSTnfUEHhWUvohHnhWkvmem7uoZnuoprnfHHeTD3gWErdRjb1 ysX////zv7nhXE7fUkP31dH54N3hW03gWUriY1bwrqf0wr3gV0nwr6j0xcDe SjrsmpHyubPqjYTeSzvjZVj31dLcPi3gWEnfUkL87+754d7gVUbiYFPdRzf7 7OrjZVf20MzeSzzhXU/fU0TkbWD1ycTZMR/308/iYlXgV0j42NX64+HsmZDg VEXdRTXxs6zXIxDlcGPvq6TiZFbphXv20c399vXgVkf99fT1zMj1yMPeTT3f T0DfTj/dSDj20s7eTj788fD+/f388vH9+Pf31tPfTz/bPSzgVkjdQzPkbF/b OinbOCfldGjzwLvZMB765ePrkon43Nnka17lcGTlcWXwsarngHTwr6neTT7o g3jrlIrgVUffUUHeSDneTDzhXE0AAABm7d51AAAAAWJLR0R7T9K1/AAAAAd0 SU1FB+gLFRAXC6ijW50AAAGBSURBVDgR3cEJQxJRFAbQ7873ZobgzeCGRTem DNOw1EhjNCGLLFstScnM0mxfbd9+fcRiav/Ac7B/iTj4n5AUAA6bBHvRuIYA CM/3PRB70CQOJFMEjQ3CMA1D7MJUl+32ekCTCHv7Mv0HDxk6+Id0s4f1SNZH LjqqDcfSA4bYJjTHc6rak8iHg3qia2hYT4YuBR1CvzCip/T06FhhXJNnimcn Js8RRAdRiqc01sl4OhzW8yyEM1GZELQJbeWCzl68pNXLDOZUr1yN5i0FHUL/ 2nV1b9zUW/Ht5MzCHdW7/mKJgjaiHNR09t6STizn6un7K9GgPgg9Ei1Cd7Vb H9bWao+0t/54PVveeKJrmzkQLWT16ZI+e7784qW+ev1GM1H6rb4btSBaWFp8 r7VVYxGoljen9K8PFUtBC83Q1sdPFUszv/B5a+PL10zm2/cflkSb0BTjiiFo grjoov5z5ddvS+xAk7cEQC9vCNf3qyliJ4cNANggbBLsJmhyBIA0YH/5A6UA McvxidzxAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI0LTExLTIxVDE2OjIzOjA4 KzAwOjAwJbI9tAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyNC0xMS0yMVQxNjoy MzowOCswMDowMFTvhQgAAAAgdEVYdHNvZnR3YXJlAGh0dHBzOi8vaW1hZ2Vt YWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6OkRvY3VtZW50OjpQYWdlcwAx p/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpIZWlnaHQANjAwet69tQAAABd0 RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDpL+3oAAAAGXRFWHRUaHVtYjo6 TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0RVh0VGh1bWI6Ok1UaW1lADE3 MzIyMDYxODijB+swAAAAE3RFWHRUaHVtYjo6U2l6ZQAyNDg4M0JCSOLhFwAA ADt0RVh0VGh1bWI6OlVSSQBmaWxlOi8vdG1wL2xldHRlcl9hdmF0YXJzLzIv QVMvMjI2Xzk1XzgxLzYwMC5wbmedVoJxAAAAAElFTkSuQmCC " /> </div> <div class="blog-card__second-avatar"> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/703639"><p class="blog-card__owner">Aman Srivastava</p></a> <p class='blog-card__remaining-text'>and 1 more</p> </div> </div> <time datetime="2023-11-27" class="blog-card__date">November 27, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170110670.00606438/v1"> <div class='blog-card__preview-content'> An attempt has been made to quantitatively analyze different degrees of environmental drought events, given the limited scientific understanding of environmental droughts, which hinders practical assessment efforts. This study thus aims to rigorously develop and assess the applicability of a novel heuristic method in conjunction with creating an Environmental Drought Index聽\cite{Srivastava_2023}. The heuristic method evaluates the combined influences of drought duration and water shortage levels, providing crucial insights into the environmental flow requirements amidst climate change. The Minimum in-stream Flow Requirements (MFR) is first defined as the threshold value essential for sustaining the river basin's ecological functions, aligning with Tennant鈥檚 environmental flow concept. Establishing MFR enables a balance between water resource utilization and ecological preservation, fostering sustainable water management. To comprehensively assess the eco-status, the study defined the High Flow Season (HFS) and the Low Flow Season (LFS). Drought status is then determined by comparing MFR with observed streamflow rate, quantifying negative differences as environmental droughts. Drought Duration Length (DDL) and Water Shortage Level (WSL) are introduced as functions of environmental drought. DDL categorizes consecutive months into four classes: DDL 1 (1-3 months), DDL 2 (4-6 months), DDL 3 (7-12 months), and DDL 4 (>12 months). WSL is determined by the most significant water deficit observed during DDL, classified into four categories: WSL 1 (<40%), WSL 2 (40-60%), WSL 3 (60-80%), and WSL 4 (>80%). Integrating DDL and WSL yields an index classifying environmental drought events into slight, moderate, severe, and extreme levels. The index value is obtained by comparing DDL and WSL values and selecting the maximum. The study enhances the scientific rigor of environmental drought identification and analysis, contributing to understanding drought impacts and effective mitigation strategies. 聽 </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170110664.49889080/v1"> <div class="blog-card__title"> Valued peaks: sustainable water allocation for small hydropower plants in an era of e... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Faisal Bin Ashraf" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc 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class="blog-card__date">November 27, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170110664.49889080/v1"> <div class='blog-card__preview-content'> Optimising hydropower operations to balance economic profitability and support functioning ecosystem services is integral to river management policy. In this article, we propose a multi-objective optimization framework for small hydropower plants (SHPs) to evaluate trade-offs among environmental flow scenarios. Specifically, we examine the balance between short-term losses in hydropower generation and the potential for compensatory benefits in the form of revenue from recreational ecosystem services, irrespective of the direct beneficiary. Our framework integrates a fish habitat model, a hydropower optimization model, and a recreational ecosystem service model to evaluate each environmental flow scenario. The optimisation process gives three outflow release scenarios, informed by previous streamflow realisations (dam inflow), and designed environmental flow constraints. The framework is applied and tested for the river Kuusinkijoki in North-eastern Finland, which is a habitat for migratory brown trout and grayling populations. We show that the revenue loss due to the environmental flow constraints arises through a reduction in revenue per generated energy unit and through a reduction in turbine efficiency. Additionally, the simulation results reveal that all the designed environmental flow constraints cannot be met simultaneously. Under the environmental flow scenario with both minimum flow and flow ramping rate constraints, the annual hydropower revenue decreases by 16.5%. An annual increase of 8% in recreational fishing visits offsets the revenue loss. The developed framework provides knowledge of the costs and benefits of hydropower environmental flow constraints and guides the prioritizing process of environmental measures. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170000369.94748519/v1"> <div class="blog-card__title"> More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seas... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Nicholas Cody Parazoo" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc 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</div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170000369.94748519/v1"> <div class='blog-card__preview-content'> Surface, aircraft, and satellite measurements indicate pervasive cold season CO2 emissions across Arctic regions, consistent with a hyperactive biosphere and increased metabolism in plants and soils. A key remaining question is whether cold season sources will become large enough to permanently shift the Arctic into a net carbon source. Polar orbiting GHG satellites provide robust estimation of regional carbon budgets but lack sufficient spatial coverage and repeat frequency to track sink-to-source transitions in the early cold season. Mission concepts such as the Arctic Observing Mission (AOM) advocate for flying imaging spectrometers in highly elliptical orbits (HEO) over the Arctic to address sampling limitations. We perform retrieval and flux inversion simulation experiments using the AURORA mission concept, leveraging a Panchromatic imaging Fourier Transform Spectrometer (PanFTS) in HEO. AURORA simulations demonstrate the benefits of increased CO2 sampling for detecting spatial gradients in cold season efflux and improved monitoring of rapid Arctic change. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/doi/full/10.22541/essoar.169903621.10491107/v1"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="https://d197for5662m48.cloudfront.net/images/tagdashboard/banner/large-0f57237e39dd0c54df15afa034038147.jpg" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169903621.10491107/v1"> <div class="blog-card__title"> Explicit consideration of plant xylem hydraulic transport improves the simulation of... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Yi Yang" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAAA/1BMVEW8qqS7qaO9q6W9q6a9rKa1oZq6qKK0oJm2opy2opu7qKK0 oJrRxcHPw765pqC6p6HTx8PMvrrNv7vSxsLQxMC8q6Xv6+n////Qw7+znpi/ rqixnJXg2NXYzsre1tPc0s+xnZaznpfr5uS2o52/raj49/a5p6Czn5i3pJ77 +vqwm5Th2deokYnd1NHVysbXzcnZz8ypkorf19S+rKa7qqS5pp/29POvmpP+ /v6vmZK4pp+5p6G8qqPf1tSynpfUyMS4pZ7+/f318vGzn5n49vX8/Pu3pJ3b 0s/TyMSynZbUycW7qaTWy8fXzMnUyMW4pZ/Gt7Le1dPFtbC8qqUAAADJi3xP AAAAAWJLR0RU5AOIpQAAAAd0SU1FB+gLFRAXHVx37swAAAErSURBVDgR5cEJ WtNgGIXR+4YviUM1VcFriTIU8UccQOM8FRypVqN1/3sxKPZpdQmco1OFjiR+ k0RHc1C2JIQiy0IILWVCM4g8R6goz5wtzwlxPkfoBILehYuoon/p8pWiUFEt 90DoD7RSXvW1wWp93TfWvL6xutn3sMyETpBt3fR2eauyU27vVPlts7OC/oLY vePe3Xu+X6Y97z/o+eFuwyPNoMf4yVM/yym27OfbfvFSvNIMRP3aQy+niDcj D71eB2gOqg4O/fadJPL3/vCxEJoHUX/y0biBZuOz9+oGNO8LMZh4lAIiHbmf ArSAGHz1KAVEGvlbCrSI2Nz3JAVEmniSAi1C7fcf01agdro2bYUWgQ7Greio HbcC/YufjVAHNUL/45g6HNMp8wsFWRybOi+eVgAAACV0RVh0ZGF0ZTpjcmVh dGUAMjAyNC0xMS0yMVQxNjoyMzoyOSswMDowMMHgMX0AAAAldEVYdGRhdGU6 bW9kaWZ5ADIwMjQtMTEtMjFUMTY6MjM6MjkrMDA6MDCwvYnBAAAAIHRFWHRz b2Z0d2FyZQBodHRwczovL2ltYWdlbWFnaWNrLm9yZ7zPHZ0AAAAYdEVYdFRo dW1iOjpEb2N1bWVudDo6UGFnZXMAMaf/uy8AAAAYdEVYdFRodW1iOjpJbWFn ZTo6SGVpZ2h0ADYwMHrevbUAAAAXdEVYdFRodW1iOjpJbWFnZTo6V2lkdGgA NjAw6S/t6AAAABl0RVh0VGh1bWI6Ok1pbWV0eXBlAGltYWdlL3BuZz+yVk4A AAAXdEVYdFRodW1iOjpNVGltZQAxNzMyMjA2MjA5Hp/v9wAAABN0RVh0VGh1 bWI6OlNpemUAMTE2ODRCQpO4wt0AAAA9dEVYdFRodW1iOjpVUkkAZmlsZTov L3RtcC9sZXR0ZXJfYXZhdGFycy8yL1lZLzE4OF8xNzBfMTY0LzYwMC5wbmf2 bIiPAAAAAElFTkSuQmCC " /> </div> <div class="blog-card__second-avatar"> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/694774"><p class="blog-card__owner">Yi Yang</p></a> <p class='blog-card__remaining-text'>and 4 more</p> </div> </div> <time datetime="2023-11-03" class="blog-card__date">November 03, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169903621.10491107/v1"> <div class='blog-card__preview-content'> A document by Yi Yang. Click on the document to view its contents. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169903630.02326387/v1"> <div class="blog-card__title"> From Bark to Byte: Automating Forest Inventory Data Collection Through Camera and Mob... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Robin Young" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABU1BMVEWPpK+OpK+Oo66SprGRprGRpbCQpbCRprCOpK6LoayAl6SA mKSEm6eLoKyFnKiBmaWMoa2DmqeCmaaNoq2VqbPAy9K5xs2mtr+svMS2w8uQ pK+KoKyuvcW2xMuitL3///+6x85yjZrL1drU3OB8laKUqLKCmaWouMHr7vCG nKiesLrp7e+crrimt8D+/v6brrh4kZ74+vqBmKXs8PGXq7Xn7O55kp+Moq11 j5y7yM68yc9yjJqywcjO19xxi5nZ4OR8laFzjZu/y9G3xMv09vd9lqLj6OuU qLOHnqmfsbrr7/GesLmDmqbf5ejW3eF8lKGOo6+gsrvw8/SXqrR/l6OJn6ul tr/q7vCnt8B7lKHn6+52kJ1/l6ShsrzT299+lqPo7O79/v6Fm6ejtL2hsrvw 8vSTp7LY3+PEz9WxwMeJn6qQpa+WqbTG0dapucGInqoAAAAsiJB4AAAAAWJL R0Rw2ABsdAAAAAd0SU1FB+gLFRAXN4fMJxoAAAFjSURBVDgR5cFpWxJhGAXg M2feeWBiGEgMDLOTmNpMm2lQVqZlZhalFdoubW6t//9b1IVAfegH1H3jH+N5 +BsO8AB2YBDhO+cCkJYBQQQBiJ4sER7J5XJRPkBcKILg0aES6KGLCIePlcvl CgvhyPFqCI6eGAtKILpo8Un9cmq8ponTk1PTOhMBRBctSXV28tz5C7o4c0kY nZ3T5SggDtGSVPXGlavzunb9hhZuVrS45EgcoiWp6o3w1m0tz0Z3tHJXq/eM 6KHFa7o//GBeQqlZ0UM9WnfcQA8tfqyfnjyNrdqqS9ys0kMPLV7TXGZLz2aM mcJzTbzwmUUfLUn1svFqQWOvncVvtN123EAfLUn1NipC75pF9/6DttuOGEBL PmqnsLtUUy23G21pr+3ooY8IV/cPPn3O2/7ypuW/fP32vUoMyBJhKwJRbDVB hK0EJH5D+AFB+AFB+Eb8iR0AOwB24D/zA+s7KxhVMQ6GAAAAJXRFWHRkYXRl OmNyZWF0ZQAyMDI0LTExLTIxVDE2OjIzOjU1KzAwOjAwDIVSEAAAACV0RVh0 ZGF0ZTptb2RpZnkAMjAyNC0xMS0yMVQxNjoyMzo1NSswMDowMH3Y6qwAAAAg dEVYdHNvZnR3YXJlAGh0dHBzOi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0 RVh0VGh1bWI6OkRvY3VtZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6 OkltYWdlOjpIZWlnaHQANjAwet69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpX aWR0aAA2MDDpL+3oAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5n P7JWTgAAABd0RVh0VGh1bWI6Ok1UaW1lADE3MzIyMDYyMzU8BPAfAAAAE3RF WHRUaHVtYjo6U2l6ZQAxNzY4N0JCR6efmQAAAD10RVh0VGh1bWI6OlVSSQBm aWxlOi8vdG1wL2xldHRlcl9hdmF0YXJzLzIvUlkvMTQzXzE2NF8xNzUvNjAw LnBuZ3ormkIAAAAASUVORK5CYII= " /> </div> <div class="blog-card__second-avatar"> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/694698"><p class="blog-card__owner">Robin Young</p></a> </div> </div> <time datetime="2023-11-03" class="blog-card__date">November 03, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169903630.02326387/v1"> <div class='blog-card__preview-content'> Accurate forest inventory data are essential for tracking carbon sequestration, estimating carbon emissions from deforestation, assessing plant and animal habitats for biodiversity, and predicting environmental risks such as wildfires. Traditional methods of data collection have faced challenges in either scale or precision. The advent of terrestrial laser scanners addressed some of these issues but faced limitations in cost and mobility. This paper proposes a new approach using mobile LIDAR for forest inventory data collection. By integrating advancements in computer vision, the methodology aims to provide comprehensive individual tree data, including parameters like diameter at breast height, volume estimations, species identification, and temporal tracking of individual trees. This proposed research direction addresses current gaps in the use of LIDAR and camera inference for forestry data where existing work does not generate domain context-aware data by narrowly focusing collection on isolated tree attributes. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169774550.06744529/v1"> <div class="blog-card__title"> Physical, Social, and Biological Attributes for Improved Understanding and Prediction... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <span><p class="blog-card__owner">Yavar Pourmohamad</p></span> <p class='blog-card__remaining-text'>and 13 more</p> </div> </div> <time datetime="2023-10-19" class="blog-card__date">October 19, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169774550.06744529/v1"> <div class='blog-card__preview-content'> Wildfires are increasingly impacting social and environmental systems in the United States. The ability to mitigate the adverse effects of wildfires increases with understanding of the social, physical, and biological conditions that co-occurred with or caused the wildfire ignitions and contributed to the wildfire impacts. To this end, we developed the FPA FOD-Attributes dataset, which augments the sixth version of the Fire Program Analysis-Fire Occurrence Database (FPA FOD v6) with nearly 270 attributes that coincide with the date and location of each wildfire ignition in the United States. FPA FOD v6 contains information on location, jurisdiction, discovery time, cause, and final size of >2.3 million wildfires from 1992-2020 in the United States. For each wildfire, we added physical (e.g., weather, climate, topography, infrastructure), biological (e.g., land cover, normalized difference vegetation index), social (e.g., population density, social vulnerability index), and administrative (e.g., national and regional preparedness level, jurisdiction) attributes. This publicly available dataset can be used to answer numerous questions about the covariates associated with human- and lightning-caused wildfires. Furthermore, the FPA FOD-Attributes dataset can support descriptive, diagnostic, predictive, and prescriptive wildfire analytics, including development of machine learning models. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169686244.46744133/v1"> <div class="blog-card__title"> Impact of Dynamic Phytoplankton Stoichiometry on Global Scale Patterns of Nutrient Li... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="George Hagstrom" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc 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64fa6kf9lFgSA5u05c/6z2zW9V+07+u3tif+ox2Pv2/9WHe0cePnr63fcS3k GnbhnzxzSWrBkJFzvdwSexGBMZYEERgTgNiHBWCTBRwgItgmfThc/gK5yCq4 F26KmAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyNC0xMS0yMVQxNjoyMzoxMSsw MDowMHyAePkAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjQtMTEtMjFUMTY6MjM6 MTErMDA6MDAN3cBFAAAAIHRFWHRzb2Z0d2FyZQBodHRwczovL2ltYWdlbWFn aWNrLm9yZ7zPHZ0AAAAYdEVYdFRodW1iOjpEb2N1bWVudDo6UGFnZXMAMaf/ uy8AAAAYdEVYdFRodW1iOjpJbWFnZTo6SGVpZ2h0ADYwMHrevbUAAAAXdEVY dFRodW1iOjpJbWFnZTo6V2lkdGgANjAw6S/t6AAAABl0RVh0VGh1bWI6Ok1p bWV0eXBlAGltYWdlL3BuZz+yVk4AAAAXdEVYdFRodW1iOjpNVGltZQAxNzMy MjA2MTkxw8Bi1QAAABN0RVh0VGh1bWI6OlNpemUAMjUzMzBCQiEpOvsAAAA9 dEVYdFRodW1iOjpVUkkAZmlsZTovL3RtcC9sZXR0ZXJfYXZhdGFycy8yL0NT LzE4N18xMDFfMjAyLzYwMC5wbmeQgQoZAAAAAElFTkSuQmCC " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/56118"><p class="blog-card__owner">George I Hagstrom</p></a> <p class='blog-card__remaining-text'>and 3 more</p> </div> </div> <time datetime="2023-10-09" class="blog-card__date">October 09, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169686244.46744133/v1"> <div class='blog-card__preview-content'> Phytoplankton stoichiometry modulates the interaction between carbon, nitrogen and phosphorus cycles, yet most biogeochemical models represent phytoplankton C:N:P as constants. This simplification has been linked to Earth System Model (ESM) biases and potential misrepresentation of biogeochemical responses to climate change. Here we integrate key elements of the Adaptive Trait Optimization Model (ATOM) for phytoplankton stoichiometry with the Carbon, Ocean Biogeochemistry and Lower Trophics (COBALT) ocean biogeochemical model. Within a series of global ocean-ice-ecosystem retrospective simulations, ATOM-COBALT reproduced observations of particulate organic matter N:P, and compared to static N:P, exhibited reduced phytoplankton P-limitation, enhanced N-fixation, and increased low-latitude export, leading to improved consistency with observations. Two mechanisms together drove these patterns: the growth hypothesis and frugal P-utilization during scarcity. The addition of translation compensation- differential temperature dependencies of photosynthetic relative to biosynthetic processes- led to relatively modest strengthening of N:P variations and biogeochemical responses relative to growth-plus-frugality. Comparison of the multi-mechanism model herein against frugality-only models suggest that both can capture observed N:P patterns and produce qualitatively similar biogeochemical effects. There are, however, quantitative response differences and different responses across N:P mechanisms are expected under climate change- with the growth rate mechanism adding a distinct biogeochemical footprint in highly-productive low-latitude regions. These results suggest that variable phytoplankton N:P makes some biogeochemical processes resilient to environmental changes, and support using dynamic N:P formulations with the ocean biogeochemical component of next generation of ESMs. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/doi/full/10.22541/essoar.169651337.71151879/v1"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="https://d197for5662m48.cloudfront.net/users/670562/articles/670484-global-distribution-changes-in-coccolithophore-blooms/master/file/figures/966155_0_figure_11431802_s1njw6/966155_0_figure_11431802_s1njw6.png?1732350980" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169651337.71151879/v1"> <div class="blog-card__title"> Global distribution changes in coccolithophore blooms </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Eliza K Duncan" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABX1BMVEV4hM13g813g8x7h856hs56hc16hs14g812gsxndcdmc8Zm dMZlc8Zqd8d5hc1teslndMZrech1gct7hs6ss+Cpsd+qsd+psN+uteGkrN1p dseYodiyueKosN+PmdVxfsp0gMv////8/P5VZMDT1+6iqtxlcsZzf8vu7/h+ ic+MltSKldONl9RfbcPKz+ubpNp/is+WoNjx8vmhqdzr7fdaacJsechreMhy f8tjccXM0OyBjdBkcsVwfcr4+Px2g8zq7PdcasJvfMmAi9Bhb8TV2e+Ik9OT nddZaMHO0uyKlNN9ic/JzuucpNppd8d3hM39/f7U2O/d4PLN0uzJzeucpdrp 6/dSYr9kccVgb8TW2e+Jk9Ps7vhyfspxfcpjcMX5+v1ue8nt7/h9iM+LldSN l9VgbsSXoNj29vujq9zQ1e1lcsWttOCqst+rsuCzuuOrst9ndcZodsd1gcwA AADRDXHoAAAAAWJLR0R0322obQAAAAd0SU1FB+gLFRAYClg8d8QAAAFkSURB 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XzExNF8yMDcvNjAwLnBuZynWsAMAAAAASUVORK5CYII= " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/670562"><p class="blog-card__owner">Eliza K Duncan</p></a> <p class='blog-card__remaining-text'>and 2 more</p> </div> </div> <time datetime="2023-10-05" class="blog-card__date">October 05, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169651337.71151879/v1"> <div class='blog-card__preview-content'> The global distribution of high Remote-sensing reflectance (Rrs) waters visible from satellite, likely associated with coccolithophore blooms, has changed markedly over the past 40 years. Over that period there has globally been an overall decrease in bloom area of 1.15 million km2 but with notable Rrs increases in the Barents Sea and the Antarctic Ocean. The primary drivers of these fundamental changes to ocean biogeochemistry have been investigated using Machine Learning techniques together with contemporaneous global multi-decadal time-series of sea-surface temperature (SST); wind speed and stress; sea level anomaly (SLA); photosynthetically available radiation (PAR) and; mixed layer depth (MLD). When split into ocean provinces different drivers of positive and negative trends in Rrs were found to dominate in different regions, but generally increases were found to coincide with changes to SST, PAR and reductions to wind-speed. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169625594.48530812/v1"> <div class="blog-card__title"> A harmonized global gridded transpiration product based on collocation analysis </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Changming Li" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc 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is pivotal in the global water cycle, responding to soil moisture, atmospheric stress, climate changes, and human impacts. Therefore, establishing a reliable global transpiration dataset is essential. Different global transpiration products exhibit significant differences, necessitating the evaluation of errors. Collocation analysis methods have been proven effective for assessing the errors in these products, which can subsequently be used for multisource fusion. However, previous results did not consider error cross-correlation, rendering the results less reliable. In this study, we employ collocation analysis, taking error cross-correlation into account, to effectively analyze the errors in multiple transpiration products and merge them to obtain a more reliable dataset. The results demonstrate its superior reliability. The outcome of this research is a long-term daily global transpiration dataset at 0.1掳 resolution from 2000 to 2020. Using the transpiration after partitioning at FLUXNET sites as a reference, we compare the performance of the merged product with input datasets. The merged dataset performs well across various vegetation types and is validated against in-situ observations. Incorporating non-zero ECC considerations represents a significant theoretical and proven enhancement over previous methodologies that neglected such conditions, highlighting its reliability in enhancing our understanding of transpiration dynamics in a changing world. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169592581.18728999/v2"> <div class="blog-card__title"> Reservoir drawdown highlights the emergent effects of water level change on reservoir... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Abigail S L Lewis" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABRFBMVEXiX1HiX1DhXlDiYVPiXlDiYlTiYVTfUkPgVEXhXU/fTj/f UULgWEnmem7mdWngV0jhXE3qkIbphnvfU0TlcGT////iY1bhWkvhW0388/Le SzziYFLiY1XdRjbxt7Duo5vdSDjiZFbgWUr76efeSjrhXE742db65+T9+Pfe SzvhWkz76+nogHXohHntnZTlcmbdRTT20c3hWUvjaVzzwbzdRzfgWEr2zcnY KxnZMB754d/gV0neSDntn5b1yMP0x8LrkYfhXU776+reTT365+X+/Pz++/v4 2NXcQjH66ObbPSzkb2L20MzaNiTbOyn65eLfUEH76ujjZVjmdmrldGjkbWDi YlXeSTn0w77pin/jZFfsmpHxsavsmI/upp7wrKXgVUbtn5ftnpbsm5Ltm5Pu pJ3ohXreTj7hW0zfUEDeSToAAACiJGzcAAAAAWJLR0RrUmWlmAAAAAd0SU1F B+gLFRAXCUatOrEAAAE/SURBVDgR3cGHNgNRFAXQ48zLjAgS5QreYMSLFjVE r9F7F733//8As6IkY/ED9sZ/VYI/0AeAPvyGsCylQIRs4hcEnFKQCJdFQIWf CJZXVEaBcKyquhxQCFK0ampF6qJ2vF4aGjWIIEW3qVmkxWuNJ6TNaBBBRDIi 7R2dXbo7ISmjQQQohsp6pLdP+p1wQlJGgwggQwODkh6S4QxHJGU0iGKKeiQp o2PjE+JMpiVlNH0oUHSnpmViZrZN5jLzkl1wbVsTBYQ2i5JdWs7KympM1tZr nEgUxDdakQ3Z3DLe9o5gV/b2Dw4rjtIgPike507kdKH1zJzLhSd5gxmXCh8U MHl5FY5Bx4+vq25u7+4fzh+fbjTxhcRzLgkSL94ru3LmzXiOpkIBQy4IEHU2 3DyLKEYffCyCgBKFPAWoPPwr7/7hJNZAKpXbAAAAJXRFWHRkYXRlOmNyZWF0 ZQAyMDI0LTExLTIxVDE2OjIzOjA5KzAwOjAwg8U2AAAAACV0RVh0ZGF0ZTpt b2RpZnkAMjAyNC0xMS0yMVQxNjoyMzowOSswMDowMPKYjrwAAAAgdEVYdHNv ZnR3YXJlAGh0dHBzOi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1 bWI6OkRvY3VtZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdl OjpIZWlnaHQANjAwet69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2 MDDpL+3oAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAA ABd0RVh0VGh1bWI6Ok1UaW1lADE3MzIyMDYxODnUANumAAAAE3RFWHRUaHVt Yjo6U2l6ZQAxMjkwMkJCVkVz/wAAADt0RVh0VGh1bWI6OlVSSQBmaWxlOi8v dG1wL2xldHRlcl9hdmF0YXJzLzIvQUwvMjI2Xzk1XzgxLzYwMC5wbmfNiy+1 AAAAAElFTkSuQmCC " /> </div> <div class="blog-card__second-avatar"> <img alt="Adrienne Breef-Pilz" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABnlBMVEXiX1HiX1DiXlDhXlDiYFPiYlTiY1XiYVPiYFLgVkjfUEHh XU/fT0DeSTneSjreTT7gVEXgV0nkbGDogXbhXE3hXE7gVkfqj4XuoZnsmI/t nJTpioDkbWHeSzzhWkvfTj/88/L////sl4766Ob42NXfU0TiYVTmeW353tv4 3NnohXrkbF/lcGT20MzupJziYlXdRTT1ycXzv7njaVz53tzjZ1reTDzcQC/0 xsHdRzfhWkzgVUf20c3hW03wrabjZVfcPi7tnpbeSzveSjvrlIvrlYzcPS3+ /f3iX1L99vbzvrjbPSzdRTXdQzPXJBHnfnPfUUH1zcj0w7776+nnfXHfUULg VUb++fn0x8L1ysX31dL1zMfdSDjbPCvcQTD65OLvqqL77Or9+fj87+754N3j alzfUkP87u3eTj799PPcQTHeTD3aMyLsmZDaMyH54N7ohHrkbWD1yMPfTz/q i4HdRjbjZFfgV0jjZlj76unxsavlcWTslo3vqaHhWUvqjYPsmpHtnpXrkonl cmbeTT3eSTrfUEDfU0PiY1YAAAC0WsAsAAAAAWJLR0SJHGEmzAAAAAd0SU1F B+gLFRAXECLGknEAAAGDSURBVDgR3cEHX1JhHAXg4/9w3/smccFMMsv0ZBll iaVRmGlJRWp70LK9aJcN23t97FAgyV+fwOfBEtVkFfgPVgBgjWExxgIQYOCc C0IQi9Ava46DxPJEFCVT3hONjL5lRevKNiC9qn11x5q1nes8DQsIdnVrfeR8 Z4/mbNjYBuIvY2/zJimTCMNos7b0bd2m/ihLQx3pBrZrhwZTLhrSztwuanfe 0VBHP7xHI3s1mh+LMgr3JUa1fzxLQ40xWzigg4eK6jo8PqSJCWlyKiRRR/Ye yejosQ4dP5HMaOTkqdM6czakocoYlgZ17vyFi7o0ncwofvnKsK4WQhBVRpe/ pus3ijeLig/c0u3cnYLulgGiimDunsr3Hzxs16PHT/T0Wd+kZqYDGuYZg+cv NPPyVTD7Wt1TPZrzxrd4ooa+1Pr2XdoD6fcfPn7q//zl67dyKUbUkT6Vn/Uk 8f1H/GciSuR+ISQaMPbbEyCyDoFzLhuCaGQkDQAXGP5lmGeGJqvAEvMHNok3 zsWhQPcAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjQtMTEtMjFUMTY6MjM6MTYr MDA6MDC5J0Z3AAAAJXRFWHRkYXRlOm1vZGlmeQAyMDI0LTExLTIxVDE2OjIz OjE2KzAwOjAwyHr+ywAAACB0RVh0c29mdHdhcmUAaHR0cHM6Ly9pbWFnZW1h Z2ljay5vcme8zx2dAAAAGHRFWHRUaHVtYjo6RG9jdW1lbnQ6OlBhZ2VzADGn /7svAAAAGHRFWHRUaHVtYjo6SW1hZ2U6OkhlaWdodAA2MDB63r21AAAAF3RF WHRUaHVtYjo6SW1hZ2U6OldpZHRoADYwMOkv7egAAAAZdEVYdFRodW1iOjpN aW1ldHlwZQBpbWFnZS9wbmc/slZOAAAAF3RFWHRUaHVtYjo6TVRpbWUAMTcz MjIwNjE5Nl2k93YAAAATdEVYdFRodW1iOjpTaXplADE5OTQ0QkK3bWjZAAAA O3RFWHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAvbGV0dGVyX2F2YXRhcnMvMi9B Qi8yMjZfOTVfODEvNjAwLnBuZ1n2OSMAAAAASUVORK5CYII= " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/550878"><p class="blog-card__owner">Abigail S. L. Lewis</p></a> <p class='blog-card__remaining-text'>and 8 more</p> </div> </div> <time datetime="2024-02-12" class="blog-card__date">February 12, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169592581.18728999/v2"> <div class='blog-card__preview-content'> Water level drawdowns are increasingly common in lakes and reservoirs worldwide as a result of both climate change and water management. Drawdowns can have direct effects on physical properties of a waterbody (e.g., by altering stratification and light dynamics), which can interact to modify the waterbody鈥檚 biology and chemistry. However, the ecosystem-level effects of drawdown remain poorly characterized in small, thermally-stratified reservoirs, which are common in many regions of the world. Here, we intensively monitored a small eutrophic reservoir for two years, including before, during, and after a month-long drawdown that reduced total reservoir volume by 36%. During drawdown, stratification strength (maximum buoyancy frequency) and surface phosphate concentrations both increased, contributing to a substantial surface phytoplankton bloom. The peak in phytoplankton biomass was followed by cascading changes in surface water chemistry associated with bloom degradation, with sequential peaks in dissolved organic carbon, dissolved carbon dioxide, and ammonium concentrations that were up to an order of magnitude higher than the previous year. Dissolved oxygen concentrations substantially decreased in the surface waters during drawdown (to 41% saturation), which was associated with increased total iron and manganese concentrations. Combined, our results illustrate how changes in water level can have cascading effects on coupled physical, chemical, and biological processes. As climate change and water management continue to increase the frequency of drawdowns in lakes worldwide, our results highlight the importance of characterizing how water level variability can alter complex in-lake ecosystem processes, thereby affecting water quality. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169566477.71146215/v1"> <div class="blog-card__title"> Balancing non-CO2 GHG emissions and soil carbon sequestration in U.S. rice paddies: i... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Jingting Zhang" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP 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href="/doi/full/10.22541/essoar.169566477.71146215/v1"> <div class='blog-card__preview-content'> The U.S. rice paddy systems play an increasingly vital role in ensuring food security, which also contribute massive anthropogenic non-CO2 (CH4 and N2O) greenhouse gas (GHG) emissions with expanding cultivation area. Yet, the full assessment of GHG balance, considering trade-offs between soil organic carbon (SOC) sequestration and non-CO2 GHG emissions, is lacking. Integrating an improved agricultural ecosystem model with a meta-analysis of multiple field studies, we found that U.S. rice paddy was a rapidly growing net GHG emission source, increased 138% to 8.88 卤 2.65 Tg CO2eq yr-1 in the 2010s. CH4 emission made the most significant contribution (10.12 卤 2.28 Tg CO2eq yr-1) to this increase in net GHG emissions in the 2010s, but increasing N2O emissions, accounting for ~2.4% (0.21 卤 0.03 Tg CO2eq yr-1), cannot be ignored. SOC sequestration could offset about 14.0% (1.45 卤 0.46 Tg CO2eq yr1) of the climate-warming effects of soil non-CO2 GHG emissions in the 2010s. The aggravation of net GHG emissions stemmed from intensified land use/cover changes, rising atmospheric CO2, and heightened synthetic N fertilizer and manure application. Climate change exacerbated around ~21% of soil N2O emissions and ~10% of soil CO2 release in the 2010s. Nonetheless, adopting no/reduced tillage resulted in a substantial decrease of ~10 % in net soil GHG emissions, and non-continuous irrigation exhibited the potential to mitigate around 39% of soil non-CO2 GHG emissions. Great potential for emissions reduction in the mid-South U.S. by optimizing synthetic N fertilizer and manure ratios, reducing tillage, and implementing non-continuous irrigation. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169462031.19744802/v1"> <div class="blog-card__title"> Biodiversity and climate extremes: known interactions and research gaps </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Miguel D. Mahecha" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABX1BMVEX+2hD+2g/+2Q/+2hT+2hX+2hL92Q791gD91QD92AT+2hH9 2AP92Q3+5FL+5l/+3Sj91wL+3iz+5mH+40z92Aj92Qr+40/+5mD+3iv+3Sn9 2An92Q/////+9sj91AD++NX+/vz91wD92Af++NP+9sv92Qv+2xj+2hb+3ir+ /O3+/ff+++j+63/+3B3+7pH+/fb+/fX+7ZD+64D+/PH+9cL+99D+/PD+87P+ 9cP+9cH+9Lr+/fP+98392Ab+9b/+403+4Dj90wD+4UH+3zP+9sn+9sX+4Dr9 0gD+4Dn+4kj+9cD++Nb+8KH9zgD+9b7++uP++dz+9Lz+8aP++Nf+++X9zwD+ 8KP90QD+/vr90AD+8af+9Lj+++b+407+87X91wH+3zX++d7+++r++dr+/vv+ +t/+/Oz+7Y/+6XL92AX+6Xb+7If+3B7+64P+52n+6G/+6G3+7IT+2xv+2xYA AADUowb/AAAAAWJLR0R0322obQAAAAd0SU1FB+gLFRAXCt+kawsAAAHMSURB VDgR3cGLWwxRHAbg73w7s+f024mkpc5+RjNMSyR3kkW5JOSeXFbJJZW7/v/n 0e3xR/S+2Ducww7nAOewwzns4hY48D84cAu2EbUkJQCmSQ2oJSkBME1qIABH 1H3oMYJpI3jWfWikBK0n+DroQGRZ7779PSnTvgP9Bweahw4P9qVMG0P7erMM BC22pCN5rZWGoxouSulYnrZq+XGpFY2gxUrSSKNdnJBO+saoNFQkjRFJVTSC Fps6pdP5WH5G4+O+T2d1Lh/Lz+uCmtEIWix18dLlUPe6clW+0MQ1+SxMXp9Q GY2gxY5u3NStqWndviNf6O49Tc/c1+wDldEIWiz1MOjR3GPNPJEv9HRGz+ae K3+hMhpBi6Vezk8o6NWCXvtCw2/eKujdfFdlNIIWS3UX3mtRg0GjfknKP2hR swtdldEIWiy1HIqP+pQPaNIv6fNS+KKuD8sqoxG02NSKz79qdcokvyZV+bq+ 5X5FzWgEkVXr/Wud7z/STrb6sxN//a46yZ+/5Vr/epWBcEQWPKzMK8tCYD2E ujXzAYMPGegAEO2EtA0j2olDkoC2YWTSBrGNmxxJcBdIOm7CLucAOADOAc4B cACcw57xD3pUOmtk3BeeAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI0LTExLTIx VDE2OjIzOjEwKzAwOjAw2vdzTQAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyNC0x MS0yMVQxNjoyMzoxMCswMDowMKuqy/EAAAAgdEVYdHNvZnR3YXJlAGh0dHBz Oi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6OkRvY3VtZW50 OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpIZWlnaHQANjAw et69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDpL+3oAAAAGXRF WHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0RVh0VGh1bWI6 Ok1UaW1lADE3MzIyMDYxOTC0x1JDAAAAE3RFWHRUaHVtYjo6U2l6ZQAxMzAx NEJCLDjZ/AAAADx0RVh0VGh1bWI6OlVSSQBmaWxlOi8vdG1wL2xldHRlcl9h dmF0YXJzLzIvTU0vMjU0XzIxOF8xNi82MDAucG5n1tdg7wAAAABJRU5ErkJg gg== " /> </div> <div class="blog-card__second-avatar"> <img alt="Ana Bastos" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABnlBMVEXiX1HiX1DiXlDhXlDiYFPiYlTiY1XiYVPiYFLgVkjfUEHh XU/fT0DeSTneSjreTT7gVEXgV0nkbGDogXbhXE3hXE7gVkfqj4XuoZnsmI/t nJTpioDkbWHeSzzhWkvfTj/88/L////sl4766Ob42NXfU0TiYVTmeW353tv4 3NnohXrkbF/lcGT20MzupJziYlXdRTT1ycXzv7njaVz53tzjZ1reTDzcQC/0 xsHdRzfhWkzgVUf20c3hW03wrabjZVfcPi7tnpbeSzveSjvrlIvrlYzcPS3+ /f3iX1L99vbzvrjbPSzdRTXdQzPXJBHnfnPfUUH1zcj0w7776+nnfXHfUULg VUb++fn0x8L1ysX31dL1zMfdSDjbPCvcQTD65OLvqqL77Or9+fj87+754N3j alzfUkP87u3eTj799PPcQTHeTD3aMyLsmZDaMyH54N7ohHrkbWD1yMPfTz/q i4HdRjbjZFfgV0jjZlj76unxsavlcWTslo3vqaHhWUvqjYPsmpHtnpXrkonl cmbeTT3eSTrfUEDfU0PiY1YAAAC0WsAsAAAAAWJLR0SJHGEmzAAAAAd0SU1F B+gLFRAXECLGknEAAAGDSURBVDgR3cEHX1JhHAXg4/9w3/smccFMMsv0ZBll iaVRmGlJRWp70LK9aJcN23t97FAgyV+fwOfBEtVkFfgPVgBgjWExxgIQYOCc C0IQi9Ava46DxPJEFCVT3hONjL5lRevKNiC9qn11x5q1nes8DQsIdnVrfeR8 Z4/mbNjYBuIvY2/zJimTCMNos7b0bd2m/ihLQx3pBrZrhwZTLhrSztwuanfe 0VBHP7xHI3s1mh+LMgr3JUa1fzxLQ40xWzigg4eK6jo8PqSJCWlyKiRRR/Ye yejosQ4dP5HMaOTkqdM6czakocoYlgZ17vyFi7o0ncwofvnKsK4WQhBVRpe/ pus3ijeLig/c0u3cnYLulgGiimDunsr3Hzxs16PHT/T0Wd+kZqYDGuYZg+cv NPPyVTD7Wt1TPZrzxrd4ooa+1Pr2XdoD6fcfPn7q//zl67dyKUbUkT6Vn/Uk 8f1H/GciSuR+ISQaMPbbEyCyDoFzLhuCaGQkDQAXGP5lmGeGJqvAEvMHNok3 zsWhQPcAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjQtMTEtMjFUMTY6MjM6MTYr MDA6MDC5J0Z3AAAAJXRFWHRkYXRlOm1vZGlmeQAyMDI0LTExLTIxVDE2OjIz OjE2KzAwOjAwyHr+ywAAACB0RVh0c29mdHdhcmUAaHR0cHM6Ly9pbWFnZW1h Z2ljay5vcme8zx2dAAAAGHRFWHRUaHVtYjo6RG9jdW1lbnQ6OlBhZ2VzADGn /7svAAAAGHRFWHRUaHVtYjo6SW1hZ2U6OkhlaWdodAA2MDB63r21AAAAF3RF WHRUaHVtYjo6SW1hZ2U6OldpZHRoADYwMOkv7egAAAAZdEVYdFRodW1iOjpN aW1ldHlwZQBpbWFnZS9wbmc/slZOAAAAF3RFWHRUaHVtYjo6TVRpbWUAMTcz MjIwNjE5Nl2k93YAAAATdEVYdFRodW1iOjpTaXplADE5OTQ0QkK3bWjZAAAA O3RFWHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAvbGV0dGVyX2F2YXRhcnMvMi9B Qi8yMjZfOTVfODEvNjAwLnBuZ1n2OSMAAAAASUVORK5CYII= " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/664118"><p class="blog-card__owner">Miguel D. Mahecha</p></a> <p class='blog-card__remaining-text'>and 48 more</p> </div> </div> <time datetime="2023-09-13" class="blog-card__date">September 13, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169462031.19744802/v1"> <div class='blog-card__preview-content'> Climate extremes are on the rise. Impacts of extreme climate and weather events on ecosystem services and ultimately human well-being can be partially attenuated by the organismic, structural, and functional diversity of the affected land surface. However, the ongoing transformation of terrestrial ecosystems through intensified exploitation and management may put this buffering capacity at risk. Here, we summarise the evidence that reductions in biodiversity can destabilise the functioning of ecosystems facing climate extremes. We then explore if impaired ecosystem functioning could, in turn, exacerbate climate extremes. We argue that only a comprehensive approach, incorporating both ecological and hydrometeorological perspectives, enables to understand and predict the entire feedback system between altered biodiversity and climate extremes. This ambition, however, requires a reformulation of current research priorities to emphasise the bidirectional effects that link ecology and atmospheric processes. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/doi/full/10.22541/essoar.169461991.11462870/v1"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="https://d197for5662m48.cloudfront.net/users/540193/articles/665776-a-multi-algorithm-approach-for-modeling-coastal-wetland-eco-geomorphology/master/file/figures/972967_0_figure_11360414_s0mtmp/972967_0_figure_11360414_s0mtmp.png?1694619911" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169461991.11462870/v1"> <div class="blog-card__title"> A multi-algorithm approach for modeling coastal wetland eco-geomorphology </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Zeli Tan" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAAA5FBMVEWt1n2t1nys1nys1Xyt1n6v14Cu1n+o03ah0Gui0Gyi0Guq 1Hml0nGm0nK424/Q57XK5KvL5a3L5azM5a7P57TD4aDP57PK5KzL5a7A35uo 03XR6Lf///+02Yjz+ezo89yh0Gqx2IO73ZO324663JKv14HE4aHx+Oi22oy8 3ZS83ZWq1Hin03Ok0W+ezmb3+/Op1HebzWHH46aw14Kgz2nh8M+gz2ij0W6/ 35rt9uOp1Har1Xuu1n6fz2bm8tiw14PF4qPi8NGYy1ym0nG02Ym53JDN5rDR 6LbM5a+j0W2t1X0AAAB1oD0qAAAAAWJLR0RLaQuFUAAAAAd0SU1FB+gLFRAY DcZY4mcAAAE2SURBVDgR3cGLVtNAFAXQMzlzk96WQjNBrMlFKBBeVQktgg8U lALK/38QizVAU/gD9sbb4iLARViU8DW00UuEVKKUmEvos44+6PaWOvqg0wcT PKHPllcGeSjyVbxbe58P88Hqh9ITjxxFK4vWP1q0sSlM8Ijojba2d+pd29P9 g7qyqj5cH4N4RoyXPn3+cmR1vymPJzY5LjMQLUQ6Pflqxan46dnQhmdTTyyg 6Df7fuJB0WBBhUQbffPD7Gd5TooGCyp0aGP667dN9OIcFA0WVOgwR8rppf35 W/avxhANFlToMEffTM32Z9fbW6NerQMbqNDhmaNoZVGlI72xGxU6zNFn17fF v6LIb5eztJkVs8YTLY6+7Gi329XNzBPN/wa8wwJ6iTxBL554IeGTBAnJBK+4 CG/TPZ7bG8SgcZ71AAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI0LTExLTIxVDE2 OjIzOjExKzAwOjAwfIB4+QAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyNC0xMS0y MVQxNjoyMzoxMSswMDowMA3dwEUAAAAgdEVYdHNvZnR3YXJlAGh0dHBzOi8v aW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6OkRvY3VtZW50OjpQ YWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpIZWlnaHQANjAwet69 tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDpL+3oAAAAGXRFWHRU aHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0RVh0VGh1bWI6Ok1U aW1lADE3MzIyMDYxOTHDwGLVAAAAEnRFWHRUaHVtYjo6U2l6ZQA5OTEwQkKI 1U40AAAAPXRFWHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAvbGV0dGVyX2F2YXRh cnMvMi9aVC8xNzNfMjE0XzEyNS82MDAucG5nE6bkjgAAAABJRU5ErkJggg== " /> </div> <div class="blog-card__second-avatar"> <img alt="L. Ruby Leung" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAAAz1BMVEXU40rU40nT4knU403T4kjP4DfQ4DrT40nP4DjT4kbh64He 6XbS4ULg6n3g637U40vS4kT////7/fLO3zTS4kPS4kXS4UP5++bO3zPR4UDS 4UH5++jO3zLT4kX5++nP3zbV407U40z4++XK3STQ4T3Q4DvQ4DzR4T7V5FHa 52TZ5mLb52nX5Vj+/v7Y5l3Z5l/a5mPa52bZ5mD099HN3iz9/ffT4kfl7pHk 7Y7j7Y3m75jk7ZDl7pLk7Y3l7pXh7ITR4UHO3zHO3zDV408AAABLUfkpAAAA AWJLR0RE+bSYwQAAAAd0SU1FB+gLFRAXDDbHzj4AAAEVSURBVDgR3cEHVsJA FAXQl5cJMKL++UaiSQaNSuy9EbvI/vck5Rwg6Aq4FysmwFQQ4F8cwQhH8A8i DAmACEMQfxAmaoBNgq2WAQPUEcautdcBGLuxaQ2IOoqzuhULxG6rdjpC1FFc oju7AthUNbNC1FFcorkXiE1Vs64QdRSXaO4FYlPVrCtEHcUlmnuB2FQ16wpR R3GJ5l4Im6pmXZDEIopLdG+/CAuTqjoW4QGxiOISPTzqlWUvU42j48YJGGCO 4pzmp2fnF5fllV7f3N7dOyDADMUZnXh41ImnSEDMEM+m36+ql9d2+fZeVR+f X99AE3OEiQfe+5+S8cB7P4hAYhFRjA1DFmPDkFjCZVgWTADBFFbKLx+8FlOt zSOTAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI0LTExLTIxVDE2OjIzOjEyKzAw OjAwTWhiZAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyNC0xMS0yMVQxNjoyMzox MiswMDowMDw12tgAAAAgdEVYdHNvZnR3YXJlAGh0dHBzOi8vaW1hZ2VtYWdp Y2sub3JnvM8dnQAAABh0RVh0VGh1bWI6OkRvY3VtZW50OjpQYWdlcwAxp/+7 LwAAABh0RVh0VGh1bWI6OkltYWdlOjpIZWlnaHQANjAwet69tQAAABd0RVh0 VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDpL+3oAAAAGXRFWHRUaHVtYjo6TWlt ZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0RVh0VGh1bWI6Ok1UaW1lADE3MzIy MDYxOTJayTNvAAAAEnRFWHRUaHVtYjo6U2l6ZQAzODczQkIzA6VnAAAAPHRF WHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAvbGV0dGVyX2F2YXRhcnMvMi9MTC8y MTJfMjI3Xzc0LzYwMC5wbmfgRT1iAAAAAElFTkSuQmCC " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/540193"><p class="blog-card__owner">Zeli Tan</p></a> <p class='blog-card__remaining-text'>and 6 more</p> </div> </div> <time datetime="2023-09-13" class="blog-card__date">September 13, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169461991.11462870/v1"> <div class='blog-card__preview-content'> Coastal wetlands play an important role in the global water and biogeochemical cycles. Climate change is making them more difficult to adapt to the fluctuation of sea levels and other environment changes. Given the importance of eco-geomorphological processes for coastal wetland resilience, many eco-geomorphology models differing in complexity and numerical schemes have been developed in recent decades. But their divergent estimates on the response of coastal wetlands to climate change indicate that substantial structural uncertainties exist in these models. To investigate the structural uncertainty of coastal wetland eco-geomorphology models, we developed a multi-algorithm model framework of eco-geomorphological processes, such as mineral accretion and organic matter accretion, within a single hydrodynamics model. The framework is designed to explore possible ways to represent coastal wetland eco-geomorphology in Earth system models and reduce the related uncertainties in global applications. We tested this model framework at three representative coastal wetland sites: two saltmarsh wetland (Venice Lagoon and Plum Island Estuary) and a mangrove wetland (Hunter Estuary). Through the model-data comparison, we showed the importance to use a multi-algorithm ensemble approach for more robust predictions of the evolution of coastal wetlands. We also find that more observations of mineral and organic matter accretion at different elevations of coastal wetlands and evaluation of the coastal wetland models at different sites of diverse environments can help reduce the model uncertainty. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169444253.38522320/v1"> <div class="blog-card__title"> Quantification of nocturnal water use and its composition in a Eucalyptus urophylla 脳... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="chao zhi wang" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP 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src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABd1BMVEXiX1HiXlDhXlDiYVPiYVTiYlTiY1XiYlXgVEbfUkPfTj/e STneSjreTDzgV0jlc2fnfHDgWErrkojtoJjsm5Lrk4nfUEHiYFLhWUvhW03/ ///nfXLfUEDeTD387u399vXlcWXsmpHzv7rdRTXeSzv65+XlcmbkbF/sl47j aVzgVEXhX1HdRzf77Ov87+72z8vgWEnhWkz76+neTT3bPCvogHX0xb/dRjbv qqPmeGzqjILiZFbfTz/dRjXxtK3539zdSDjgWUrhWkv66ObhXU/eTj7+/v77 7ezaNCPYKBXzvbfjZFf76unhWUreTT7ohHn77Or0xsH1yMT43drwrqfiYFPf T0D1y8f76uj++/v+/fz88/L76+rognf0xcH77evcPy7eSjvaNCL0x8LbOyrk a1/smZDkal3vqKDupp7jZVfiY1b31tLbOCf88fD99fTgVkfrkYfwraXuoprt npbuopntnZTlcmXiX1LeSTrfU0PiX1AAAACbSZD8AAAAAWJLR0R80bYgXwAA AAd0SU1FB+gLFRAXECLGknEAAAF2SURBVDgR3cEHV9NQAAXg++7LsGlaRG3S XFfRClqLtmVUFGXVjbhx7w0qblH/vDmmpweQX8D3YYsyKWyGKQDMGPyH1gEB up7nWxAbEdtyBIkgHxZydIh1SBT7tvcTKO7YuavUF0QOsYZhXE6k3XvceO8+ pfZXAodEj6EfDkgHDnpx9ZAGhw5LR2qW6OFRWx8+dlyNpg1bGolGxzTe9kl0 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style="width: 100%;"> <a href="/users/659973"><p class="blog-card__owner">chao zhi wang</p></a> <p class='blog-card__remaining-text'>and 5 more</p> </div> </div> <time datetime="2023-09-11" class="blog-card__date">September 11, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169444253.38522320/v1"> <div class='blog-card__preview-content'> Nocturnal water use (Qnight) is an important component of the eucalyptus water budget, but it has always been under-appreciated and poorly understood. To improve the accuracy of water balance estimates and understanding of the nocturnal water use process in eucalypts plantations, we conducted a 3-year study to investigate the characteristics of Qnight and its components in a Eucalyptus urophylla 脳 E.grandis plantation in southern China. The results showed that the Qnight of E.urophylla 脳 E.grandis was substantial and its contribution (Rnight) to daily water use (Qdaily) was on average 12.35%, with higher Rnight (14.97%) in the dry season than in the wet season (9.50%). However, the Qnight was used not only for nocturnal transpiration (Tn), but also for stem refilling (Re). Tn was influenced by a combination of vapor pressure deficit (VPD), air temperature (Ta) and relative humidity (RH), with VPD being the dominant driver. Based on this, combined with the fact that Re was closely related to diurnal variations in diameter, we have developed a novel method to distinguish Tn from Re. We found that the compositional ratios of Tn and Re differed between weather conditions and months. However, on a 3-year average, Qnight of E.urophylla 脳 E.grandis was still mainly used for Tn (58.63%). Our results highlight the non-ignorability of Qnight and the high variability of the compositional ratios of Re and Tn, and suggest that Qnight and its components should be accurately quantified and taken into account when studying the water balance in eucalyptus stands. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169444263.37932967/v1"> <div class="blog-card__title"> Interannual Variation and Trend of Carbon Budget Observed Over a 28-year Period at Ta... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Shohei Murayama" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP 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src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABU1BMVEVF0OJE0OJEz+FEz+JJ0eJI0OJG0OJH0OJDz+Exy981zN89 zuAuyt49zeA6zeAtyt43zN9Bz+F+3upy2+lW1OSL4exY1OQ2zN88zeBK0eI0 y99X1OSL4e1w2ug/zuFAzuH////x+/wtyd6O4u2T4+4Vw9oxy945zeBL0eM+ zuDm+PtL0eKI4eyN4u2K4ewlyN33/f1x2+kkx9zn+Pspyd1Cz+EoyN2G4OwO wtna9fmZ5e/j+Pojx9wix9yC3+sUw9pq2ee27PMnyN2R4+3O8vczy9/7/v61 7PPA7/XB7/XU9PiQ4+34/f7D7/Xg9/oPwtksyd4Nwdl33OmQ4u3s+vzb9vl5 3eoqyd3p+fsyy99O0uOM4u2D3+sRwtnk+PqH4OwVxNo1y9/W9Pjw+/xM0ePR 8/ev6vIwyt6U5O6E3+s7zeBe1uWl6PFg1uab5e9I0eIAAAAOrFfYAAAAAWJL R0Rw2ABsdAAAAAd0SU1FB+gLFRAXECLGknEAAAGVSURBVDgR3cFpQxJhFAbQ 532YuUMxiKQok/VyYxhoUloIrWwhpWwvW82obM9Grf//LRgW6y94Do4Ug5QB YDBg8B/2AYZkhqQBB3CIcFwCFEcojhD0HI+YILLHjoOUnJ/38n5O6E0VpoUG Q0S2eGImD8nNlubm50qz5eDkwqnTZaFBimIresaXoBpqLappWG+cVZ2Z92iQ othYz/neor+kzaip5y+UL+qllkNiiGJjvdxelpUrGkahLl29pqutgBij2Fiv 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100%;"> <a href="/users/659967"><p class="blog-card__owner">Shohei Murayama</p></a> <p class='blog-card__remaining-text'>and 7 more</p> </div> </div> <time datetime="2023-09-11" class="blog-card__date">September 11, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169444263.37932967/v1"> <div class='blog-card__preview-content'> Long-term carbon dioxide (CO2) flux measurements between the atmosphere and the ecosystem have been made since 1993 at a cool-temperate deciduous forest site (Takayama) in Japan influenced by Asian Monsoon, constituting the longest dataset among all the AsiaFlux sites. Interannual variations (IAVs) and trends of the annual carbon budget components and their environmental factors were examined. Annual net ecosystem production (NEP) (mean 卤 1蟽) during the period of eddy covariance measurement in 1999-2021 was 265 卤 86 gC m-2 yr-1, and its IAV was dependent more on gross primary production (GPP) than on ecosystem respiration. IAVs in annual NEP and GPP were correlated with the IAVs of the monthly mean NEP, GPP and leaf area index (LAI) from June to September, as well as with that of the length of the net carbon uptake period. Significant increasing and decreasing trends in the annual NEP and GPP were detected during 2004-2013 and 2013-2021, respectively; the increasing trends were mainly caused by the vegetation recovery from typhoon disturbances while the decreasing trends were partly influenced by recent extreme weather events. Significant positive correlations of the IAVs between the start and the end of the net carbon uptake period, and between the leaf expansion and leaf fall were found. These may be attributed to biological functions and interseasonal relationship of meteorological parameters associated with ENSO events that can also influence IAVs in annual NEP and GPP. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169186341.11700724/v1"> <div class="blog-card__title"> Temperature and organic matter quantity drive CO2 and CH4 fluxes in isolated pools of... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Teresa Silverthorn" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAAAAABWESUoAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAAAAmJLR0QAAKqNIzIAAAAHdElNRQfoCxUQGAsvO0dSAAABfUlEQVQ4 EYXBTWsTURSA4fecuZnJlzELBe1OLFW3uqwW3YgiuvIv6B/LXxAENy7qytKV uPCDUJWGJqIVm4TEzNzjnRktxIX3eWTA/ykRSoQSoUQoEUqEo2L8S6g5aipU zCMK3kyoOAJD5rkQWKMp+cxLlnoTSg4wYbXZzgUs/T7K3ZXu8tPPrpkQOCqr 7ZTK0dtr94HtV2963gRwBCbZs/Rk68b++978zD1efO4/vHk8aXoCBQRLfkzG U6bjyfFZ+bqXHu3SL4SSIxAsS1YNGq2Wm/rzt94lH4eNdkFJqXlvhpnX4jk7 T+5ueAdCoFSEP3z7cLC/uPzo9gwxAsc6WbLYe33uwdUvB20jUNbofOvpZt4f 7tIphJKyxpJv7FyYXbzOQqk4TiUkWHP08s5jYPih4ynJgIpJ3t0YTZ3pSedS ZuPDtpoQyICKIfkycyaW/FoYjZaZUHLUBHOpN0EK1wMzEyqOU1ZQsYJAqDn+ EmrCGiVCiVAilAglQon4DcnyjCxdJPuWAAAAJXRFWHRkYXRlOmNyZWF0ZQAy MDI0LTExLTIxVDE2OjIzOjU3KzAwOjAwmxpDOQAAACV0RVh0ZGF0ZTptb2Rp ZnkAMjAyNC0xMS0yMVQxNjoyMzo1NyswMDowMOpH+4UAAAAgdEVYdHNvZnR3 YXJlAGh0dHBzOi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6 OkRvY3VtZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpI ZWlnaHQANjAwet69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDp L+3oAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0 RVh0VGh1bWI6Ok1UaW1lADE3MzIyMDYyMzfSCpEzAAAAEnRFWHRUaHVtYjo6 U2l6ZQA4MDcxQkJqMMoLAAAAPXRFWHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAv bGV0dGVyX2F2YXRhcnMvMi9UUy8xNjNfMTYzXzE2My82MDAucG5nLZO3pgAA AABJRU5ErkJggg== " /> </div> <div class="blog-card__second-avatar"> <img alt="Abdelkader Azougui" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABdFBMVEXiX1HhXlDiXlDiYVPgVEXfUkPfU0TgV0nmdWnnem/gV0jm eG3iYFL////ldGjlcWXiY1XeSTnuoprxs63dRTXxs6zvp6DdSDj88/H76+r4 29jfUkLhXE7hXU7fUUL43Nn76ef99/beSjrsm5LogHXognfeTT7iYlTfTj/n fnPog3nsmpHmeW3fUEHiYVTzvbfjZVj31NHdRjbdRjX2zcniY1bzwLvdRDTh W0365OHZMiDYKhj1ysbhWUrhWkzYKxjZMR/54N3gVkfhW0ziX1LiX1DiYlXe SzzqjIL0x8L1yMP54t/toJfeTT3eTj7tnJP65+XqkIbeSjvdRzf308/++/v+ /fz76+n66ObeSzv+/Pz77Ov42tfiYFP54N7bOinaNSP20c3hXU/31dHaNSTb OSj53tvgVUbxta7tnZTjZFfiZFbxtK7wrqfqj4XsmZDyubPrlYzvq6ThWkvu pp7rkYfvp5/hXE3vqqPsl47fTz8AAADzsHetAAAAAWJLR0R7T9K1/AAAAAd0 SU1FB+gLFRAXBtYSJyAAAAFxSURBVDgR5cEJQwxxHAbg9/3N1mbMW/9hGTEl g2bdV0uujWpHhygkue+jdYfw6Y3J2uQb8Dz43zCHAnP4i5nngcgRnmeG9YhS B0DAiM4SiD+RKHdtKBMk4G/s8kFiDWNQ9qTuDo/0Onsk5wc0tBlduEnaXHGk q2yRtkaOhjYiCLf1bteOGOjr186BXQlA/Gb0+ru1e4/2DqZpdZ/2H9DBQ4dp aCFd5YiOxjp2PE1PDAk1nTzlSLQQwyWdPnP2nOLz9bqGRi5c1OjYOBv4hdml CQ1MTk3r8syVq5qempzV3LWMhlVkev2GeudvLujW4uKsFm7P39HdyCOxivdG qfsPouThI2WP9eRpEj17rtoLjygYs+SlXoVLzcEJvX6jtzPNpeSd3icZDT8Z 4X/42FwOEA9/+jz3ZWUFwbL7+s0HDAUjvkd1kOgLq9UwBomxqAoaWpjWxgkQ Lk0dCBC1lGhjDjkWkGMOazQMBcuhYA38Q34ARU0uXV3st5AAAAAldEVYdGRh dGU6Y3JlYXRlADIwMjQtMTEtMjFUMTY6MjM6MDYrMDA6MDB1jUbpAAAAJXRF WHRkYXRlOm1vZGlmeQAyMDI0LTExLTIxVDE2OjIzOjA2KzAwOjAwBND+VQAA ACB0RVh0c29mdHdhcmUAaHR0cHM6Ly9pbWFnZW1hZ2ljay5vcme8zx2dAAAA GHRFWHRUaHVtYjo6RG9jdW1lbnQ6OlBhZ2VzADGn/7svAAAAGHRFWHRUaHVt Yjo6SW1hZ2U6OkhlaWdodAA2MDB63r21AAAAF3RFWHRUaHVtYjo6SW1hZ2U6 OldpZHRoADYwMOkv7egAAAAZdEVYdFRodW1iOjpNaW1ldHlwZQBpbWFnZS9w bmc/slZOAAAAF3RFWHRUaHVtYjo6TVRpbWUAMTczMjIwNjE4NkS/xjcAAAAT dEVYdFRodW1iOjpTaXplADEzODM3QkK0B+TvAAAAO3RFWHRUaHVtYjo6VVJJ AGZpbGU6Ly90bXAvbGV0dGVyX2F2YXRhcnMvMi9BQS8yMjZfOTVfODEvNjAw LnBuZ/qgv4oAAAAASUVORK5CYII= " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/651572"><p class="blog-card__owner">Teresa Silverthorn</p></a> <p class='blog-card__remaining-text'>and 5 more</p> </div> </div> <time datetime="2023-08-12" class="blog-card__date">August 12, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169186341.11700724/v1"> <div class='blog-card__preview-content'> Rivers are important contributors to global greenhouse gas (GHG) exchange with the atmosphere. However, much less is known about biogeochemical dynamics in rivers when they dry, particularly in isolated pools created by drying. Our objective was to examine the effects of water temperature and allochthonous organic matter (OM) quantity on carbon dioxide (CO2) and methane (CH4) fluxes in isolated pools. We used an automated analyzer to measure CO2 and CH4 from 36 mesocosms filled with sediments and water from a non-perennial river, with temperature (20, 25, 30 掳C) and Alnus glutinosa leaf litter (2g, 5g, 10 g) manipulations in triplicate. We found positive individual effects of water temperature and OM quantity on CO2 fluxes, and a synergistic effect of water temperature and OM on CH4 fluxes during the late stages of the incubation. Given the increase in water temperature and OM inputs in rivers associated with climate change, our results indicate an associated increase in CO2, and a disproportionate increase in CH4 fluxes to the atmosphere, potentially contributing towards a positive climate feedback loop. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/doi/full/10.22541/essoar.169143854.47061989/v1"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="https://d197for5662m48.cloudfront.net/images/tagdashboard/banner/large-0f57237e39dd0c54df15afa034038147.jpg" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.169143854.47061989/v1"> <div class="blog-card__title"> Low cobalt limits cyanobacteria heterocyst frequency in culture but potential for cob... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <span><p class="blog-card__owner">Purnank Shah</p></span> <p class='blog-card__remaining-text'>and 13 more</p> </div> </div> <time datetime="2023-08-07" class="blog-card__date">August 07, 2023</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.169143854.47061989/v1"> <div class='blog-card__preview-content'> A document by Jason J. Venkiteswaran. 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