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2020-02-19
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no-thumb> div classpost-date> p>Aug 1/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/the-70000-landslide-storm/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/the-70000-landslide-storm/ relbookmark titleThe 70,000-landslide storm>The 70,000-landslide storm/a> /h2> p>strong>In 2017, Hurricane Maria ravaged the island of Puerto Rico,/strong> with category 5 winds topping out at 174 mph (282 km/h). /p>div classwp-block-image>figure classaligncenter size-full>img fetchpriorityhigh decodingasync width640 height426 data-attachment-id7475 data-permalinkhttps://environmentalbiophysics.org/the-70000-landslide-storm/key-west-81664_640/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/08/key-west-81664_640.jpg?fit640%2C426&ssl1 data-orig-size640,426 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titlekey-west-81664_640 data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/08/key-west-81664_640.jpg?fit300%2C200&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/08/key-west-81664_640.jpg?fit640%2C426&ssl1 srchttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/08/key-west-81664_640.jpg?resize640%2C426&ssl1 alt classwp-image-7475 data-recalc-dims1/>/figure>/div>p>/p>p>In this mountainous nation with the 9th highest road density in the world, thousands of landslides wreaked havoc on the large number of rural communities that became cut off from supplies and travel. Dr. Stephen Hughes, a professor in the Department of Geology at the University of Puerto Rico Mayagüez, has turned this catastrophe into a lesson by harnessing before and after data to develop a landslide susceptibility map with resolution down to every 5 m. Join us as we discuss with him the process of developing landslide prediction across the entire island nation./p>h2 classwp-block-heading>a hrefhttps://metergroup.com/podcasts/episode-36-the-70000-landslide-storm/>Listen to the podcast here→/a>/h2>h2 classwp-block-heading>Notes/h2>p>Stephen is a professor in the department of geology at the University of Puerto Rico-Mayagüez. He obtained his bachelors in geology and earth science from the University of North Carolina at Chapel Hill and his PhD in geology from North Carolina State University. He teaches classes in structural geology, geomorphology, and field geology, and his research projects have focused mostly on tropical landslides and landscape evolution, with the funding of such organizations as the NSF, USGS, USDA-NRCS, and NOAA./p>h2 classwp-block-heading>Links to learn more about Dr. Stephen Hughes/h2>ul>li>a hrefhttps://sites.google.com/upr.edu/geol/home>Dr. Stephen Hughes at the University of Puerto Rico/a>/li>li>a hrefhttps://landslides-geohazards.gatech.edu/node/25>Dr. Stephen Hughes at the Collaborative Center for Landslide Geohazards/a>/li>li>a hrefhttps://prsciencetrust.discovery.symplectic.org/kenneth_hughes>Dr. Stephen Hughes on BEACON/a>/li>li>a hrefhttps://scholar.google.com.pr/citations?userN7Y45zIAAAAJ&hlen>Dr. Stephen Hughes on Google Scholar/a>/li>/ul>h2 classwp-block-heading>Subscribe/h2>ul>li>a hrefhttps://metergroup.com/meter-environment/knowledge-base/podcast target_blank relnoreferrer 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tag-soil-moisture tag-soil-moisture-sensor tag-soils tag-water-content> div classpost-date-box no-thumb> div classpost-date> p>Jun 10/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/how-to-analyze-soil-moisture-data-2/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/how-to-analyze-soil-moisture-data-2/ relbookmark titleHow to analyze soil moisture data>How to analyze soil moisture data/a> /h2> p>a hrefhttps://metergroup.com/measurement-insights/about-us-meter-environment target_blank relnoreferrer noopener>CONTRIBUTORS/a>/p>p>You’ve buried soil water content and water potential sensors in the ground, installed an ATMOS 41 in the field, and set up your ZL6 data logger. Your network of instruments has been collecting data for days, weeks, or even all season. Now what? Performing soil moisture data analysis for your research location is one thing. Knowing how to extrapolate meaningful inferences and conclusions to understand what is happening and troubleshoot issues is completely different./p>figure classwp-block-image size-full>img decodingasync width1938 height1289 data-attachment-id7470 data-permalinkhttps://environmentalbiophysics.org/how-to-analyze-soil-moisture-data-2/screenshot-2024-06-10-at-10-55-15-am/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/06/Screenshot-2024-06-10-at-10.55.15-AM.png?fit1938%2C1289&ssl1 data-orig-size1938,1289 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titleScreenshot-2024-06-10-at-10.55.15-AM data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/06/Screenshot-2024-06-10-at-10.55.15-AM.png?fit300%2C200&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/06/Screenshot-2024-06-10-at-10.55.15-AM.png?fit1024%2C681&ssl1 srchttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/06/Screenshot-2024-06-10-at-10.55.15-AM.png?resize1938%2C1289&ssl1 alt classwp-image-7470 data-recalc-dims1/>/figure>p>In this article, we will step through multiple data sets to understand how soil water content, soil temperature, soil water potential, and atmospheric measurements can be used to discover the meaning behind the traces. Within this article you will learn how to identify the following events in your data:/p>ul>li>Behavior of soil moisture sensors in different soil types/li>li>Infiltration/li>li>Flooding/li>li>Soil cracking/li>li>Freezing/li>li>Spatial variability/li>li>Temperature effects/li>li>Diurnal patterns due to hydraulic redistribution/li>li>Broken sensors/li>li>Installation problems/li>/ul>p>Each example will be represented by a graph. It is not necessary to understand every aspect of information within these graphs. Each one is used as an illustration of common soil moisture data patterns you might run into and how to extrapolate the most useful information possible from the patterns seen. Each graph will have a box in the upper right-hand side corner with the soil type and crop type so you have a better understanding of the variables at play./p>p>All of the data provided was collected by data loggers, such as our a hrefhttps://metergroup.com/products/zl6>ZL6/a> series, and uploaded to a hrefhttps://metergroup.com/meter-environment/platform/zentra-cloud>ZENTRA Cloud/a> for remote viewing at the convenience of the user. All data sets are either from METER’s own instrumentation or are supplied by the data owner and are included with their permission./p>figure classwp-block-image idattachment_3442>img decodingasync srchttps://i0.wp.com/metergroup.com/app/uploads/2023/05/zentra-zl6pro-gray.png.webp?ssl1 altA photograph of a ZL6 next to a tablet showing ZENTRA Cloud data classwp-image-3442 data-recalc-dims1/>figcaption classwp-element-caption>Figure 1. ZL6 Basic data logger with data collected and stored within the ZENTRA Cloud platform/figcaption>/figure>h5 classwp-block-heading>Effects of soil types/h5>figure classwp-block-image idattachment_3443>img decodingasync srchttps://i0.wp.com/metergroup.com/app/uploads/2023/05/How-to-Interpret-Soil-Moisture-Data-graphs-18.jpg.webp?ssl1 altA graph showing water content and water potential measurements for a turf grass in loamy sand in wet conditions classwp-image-3443 data-recalc-dims1/>figcaption classwp-element-caption>Figure 2. Water content and water potential measurements for a turf grass in loamy sand in wet conditions/figcaption>/figure>p>In Figure 2 we see the data from an engineered loamy sand with a cover crop of turf grass. Our goal when executing our experiments in this example was to improve irrigation in turf grass. This grass had a fairly shallow root zone, the middle of which was about six cm deep and the bottom at about 10 cm. Over time, this example showed first relatively wet conditions to start through June and July, a fixed drying period condition in July and August, and drying until the cessation of water uptake in August and September./p>p>This graph shows two soil moisture data types: em>a hrefhttps://metergroup.com/education-guides/the-researchers-complete-guide-to-soil-moisture>volumetric water content/a>/em> on the left y-axis and em>matric potential/em>, or a hrefhttps://metergroup.com/education-guides/the-researchers-complete-guide-to-water-potential>em>water potential/em>/a>, on the right y-axis. Time is on the x-axis ranging from early summer to the start of fall. 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ns-hide>span classns-button-label-wrapper>Copy/span>/span>/span>/a>/div>/div> /div>!--end entry--> /div>!--end post--> div idpost-7457 classclear post-7457 post type-post status-publish format-standard hentry category-agriculture category-data-collection-analysis category-data-loggers category-ecology category-geophysics category-greenhouse category-horticulture category-irrigation category-plant-genetics category-soil-moisture-sensors category-soils tag-soil-moisture tag-soil-moisture-sensor tag-soils> div classpost-date-box no-thumb> div classpost-date> p>May 7/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/how-to-analyze-soil-moisture-data/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/how-to-analyze-soil-moisture-data/ relbookmark titleHow to analyze soil moisture data>How to analyze soil moisture data/a> /h2> p>a hrefhttps://metergroup.com/measurement-insights/about-us-meter-environment target_blank relnoreferrer noopener>CONTRIBUTORS/a>/p>p>You’ve buried soil water content and water potential sensors in the ground, installed an ATMOS 41 in the field, and set up your ZL6 data logger. Your network of instruments has been collecting data for days, weeks, or even all season. Now what? Performing soil moisture data analysis for your research location is one thing. Knowing how to extrapolate meaningful inferences and conclusions to understand what is happening and troubleshoot issues is completely different./p>figure classwp-block-image size-full>img decodingasync width918 height690 data-attachment-id7082 data-permalinkhttps://environmentalbiophysics.org/water-potential-101-what-it-is-why-you-need-it-how-to-use-it/screen-shot-2022-02-03-at-10-14-44-am/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?fit918%2C690&ssl1 data-orig-size918,690 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titleScreen-Shot-2022-02-03-at-10.14.44-AM data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?fit300%2C225&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?fit918%2C690&ssl1 srchttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?resize918%2C690&ssl1 altFarm field classwp-image-7082 srcsethttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?w918&ssl1 918w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?resize300%2C225&ssl1 300w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?resize150%2C113&ssl1 150w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?resize768%2C577&ssl1 768w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2022/02/Screen-Shot-2022-02-03-at-10.14.44-AM.png?resize620%2C466&ssl1 620w sizes(max-width: 918px) 100vw, 918px data-recalc-dims1 />figcaption classwp-element-caption>Learn how to identify and understand behavior of soil moisture sensors in different soil typesbr>/figcaption>/figure>p>In this article, we will step through multiple data sets to understand how soil water content, soil temperature, soil water potential, and atmospheric measurements can be used to discover the meaning behind the traces. Within this article you will learn how to identify the following events in your data:/p>ul>li>Behavior of soil moisture sensors in different soil types/li>li>Infiltration/li>li>Flooding/li>li>Soil cracking/li>li>Freezing/li>li>Spatial variability/li>li>Temperature effects/li>li>Diurnal patterns due to hydraulic redistribution/li>li>Broken sensors/li>li>Installation problems/li>/ul>p>Each example will be represented by a graph. It is not necessary to understand every aspect of information within these graphs. Each one is used as an illustration of common soil moisture data patterns you might run into and how to extrapolate the most useful information possible from the patterns seen. Each graph will have a box in the upper right-hand side corner with the soil type and crop type so you have a better understanding of the variables at play./p>p>All of the data provided was collected by data loggers, such as our a hrefhttps://metergroup.com/products/zl6>ZL6/a> series, and uploaded to a hrefhttps://metergroup.com/meter-environment/platform/zentra-cloud>ZENTRA Cloud/a> for remote viewing at the convenience of the user. All data sets are either from METER’s own instrumentation or are supplied by the data owner and are included with their permission./p>figure classwp-block-image idattachment_3442>img decodingasync srchttps://i0.wp.com/metergroup.com/app/uploads/2023/05/zentra-zl6pro-gray.png.webp?ssl1 altA photograph of a ZL6 next to a tablet showing ZENTRA Cloud data classwp-image-3442 data-recalc-dims1/>figcaption classwp-element-caption>Figure 1. ZL6 Basic data logger with data collected and stored within the ZENTRA Cloud platform/figcaption>/figure>h5 classwp-block-heading>Effects of soil types/h5>figure classwp-block-image idattachment_3443>img decodingasync srchttps://i0.wp.com/metergroup.com/app/uploads/2023/05/How-to-Interpret-Soil-Moisture-Data-graphs-18.jpg.webp?ssl1 altA graph showing water content and water potential measurements for a turf grass in loamy sand in wet conditions classwp-image-3443 data-recalc-dims1/>figcaption classwp-element-caption>Figure 2. Water content and water potential measurements for a turf grass in loamy sand in wet conditions/figcaption>/figure>p>In Figure 2 we see the data from an engineered loamy sand with a cover crop of turf grass. Our goal when executing our experiments in this example was to improve irrigation in turf grass. This grass had a fairly shallow root zone, the middle of which was about six cm deep and the bottom at about 10 cm. Over time, this example showed first relatively wet conditions to start through June and July, a fixed drying period condition in July and August, and drying until the cessation of water uptake in August and September./p>p>This graph shows two soil moisture data types: em>a hrefhttps://metergroup.com/education-guides/the-researchers-complete-guide-to-soil-moisture>volumetric water content/a>/em> on the left y-axis and em>matric potential/em>, or a hrefhttps://metergroup.com/education-guides/the-researchers-complete-guide-to-water-potential>em>water potential/em>/a>, on the right y-axis. Time is on the x-axis ranging from early summer to the start of fall. 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ns-hide>span classns-button-label-wrapper>Copy/span>/span>/span>/a>/div>/div> /div>!--end entry--> /div>!--end post--> div idpost-7450 classclear post-7450 post type-post status-publish format-standard hentry category-agriculture category-ecology category-geophysics category-greenhouse category-horticulture category-hydrology category-irrigation category-plant-genetics category-soil-moisture-sensors category-soils tag-agriculture tag-sensors tag-soil-moisture tag-soil-moisture-sensor tag-soils tag-water tag-water-content> div classpost-date-box no-thumb> div classpost-date> p>Apr 10/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/office-hours-episode-11-soil-moisture/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/office-hours-episode-11-soil-moisture/ relbookmark titleOffice Hours Episode 11: Soil Moisture>Office Hours Episode 11: Soil Moisture/a> /h2> p>There’s a lot to consider when collecting soil moisture measurements. /p>figure classwp-block-image size-large>img loadinglazy decodingasync width1024 height682 data-attachment-id7025 data-permalinkhttps://environmentalbiophysics.org/webinar-series-irrigation-of-controlled-environment-crops-for-increased-quality-and-yield/greenhouse-4948726_1280/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?fit1280%2C853&ssl1 data-orig-size1280,853 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titlegreenhouse-4948726_1280 data-image-description data-image-caption<p>Get your soil moisture questions answered in our Office Hours series.</p> data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?fit300%2C200&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?fit1024%2C682&ssl1 srchttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?resize1024%2C682&ssl1 alt classwp-image-7025 srcsethttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?resize1024%2C682&ssl1 1024w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?resize300%2C200&ssl1 300w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?resize150%2C100&ssl1 150w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?resize768%2C512&ssl1 768w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2021/08/greenhouse-4948726_1280.jpg?resize620%2C413&ssl1 620w, 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more. /li>/ol>p>Watch the full episode now: a hrefhttps://metergroup.com/office-hours-qa/office-hours-11-soil-moisture-measurements/>https://metergroup.com/office-hours-qa/office-hours-11-soil-moisture-measurements//a>/p>div classns-buttons ns-inline ns-inline-below ns-no-print>div classns-buttons-wrapper>a hrefhttps://www.linkedin.com/shareArticle?titleOffice%20Hours%20Episode%2011%3A%20Soil%20Moisture&urlhttps%3A%2F%2Fenvironmentalbiophysics.org%2Foffice-hours-episode-11-soil-moisture%2F&minitrue aria-labelLinkedIn target_blank classns-button linkedin relnofollow noopener noreferrer>span classns-button-wrapper ns-button-block>span classns-button-icon ns-button-block>svg roleimg xmlnshttp://www.w3.org/2000/svg viewBox0 0 448 512>path fillcurrentColor dM100.28 448H7.4V148.9h92.88zM53.79 108.1C24.09 108.1 0 83.5 0 53.8a53.79 53.79 0 0 1 107.58 0c0 29.7-24.1 54.3-53.79 54.3zM447.9 448h-92.68V302.4c0-34.7-.7-79.2-48.29-79.2-48.29 0-55.69 37.7-55.69 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ns-button-block ns-hide>span classns-button-label-wrapper>Copy/span>/span>/span>/a>/div>/div> /div>!--end entry--> /div>!--end post--> div idpost-7441 classclear post-7441 post type-post status-publish format-standard hentry category-accupar-lp-80 category-canopy category-ecology tag-ecosystem tag-lp-80 tag-stream> div classpost-date-box no-thumb> div classpost-date> p>Feb 16/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/a-different-approach-to-stream-restoration/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/a-different-approach-to-stream-restoration/ relbookmark titleA different approach to stream restoration>A different approach to stream restoration/a> /h2> p>strong>University of Idaho graduate student, Adrianne Zuckerman,/strong> is taking a different approach to stream restoration than the traditional approach, channel manipulation, which often requires heavy equipment and major disruption to the riparian area. /p>figure classwp-block-embed is-type-video is-provider-wistia-inc wp-block-embed-wistia-inc>div classwp-block-embed__wrapper>script data-cfasyncfalse src/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js>/script>script srchttps://fast.wistia.com/assets/external/E-v1.js async>/script>div classwistia_responsive_padding stylepadding:56.25% 0 0 0;position:relative;>div classwistia_responsive_wrapper styleheight:100%;left:0;position:absolute;top:0;width:100%;>div classwistia_embed wistia_async_8pqo3un53g dnt1 seotrue videoFoamtrue styleheight:100%;position:relative;width:100%>div classwistia_swatch styleheight:100%;left:0;opacity:0;overflow:hidden;position:absolute;top:0;transition:opacity 200ms;width:100%;>img decodingasync srchttps://fast.wistia.com/embed/medias/8pqo3un53g/swatch stylefilter:blur(5px);height:100%;object-fit:contain;width:100%; alt aria-hiddentrue onloadthis.parentNode.style.opacity1; />/div>/div>/div>/div>/div>/figure>p>Zuckerman set out to understand how vegetation lining the stream bank impacts habitat quality for anadromous salmon and steelhead in Washington’s Methow River, which flows through the eastern Cascades. Zuckerman wanted to know how tree species composition affects the amount of nutrients available to the benthic insect community, since they are a critical food source for young salmonid fish./p>p>When Zuckerman began investigating methods for measuring leaf contribution to the stream, she found that leaf litter traps were the standard equipment. Leaf litter traps are time-consuming to set and maintain, and data analysis consists of frequent visits to the field followed by extensive time in the lab processing leaf material./p>figure classwp-block-image size-full>img loadinglazy decodingasync width1280 height853 data-attachment-id7442 data-permalinkhttps://environmentalbiophysics.org/a-different-approach-to-stream-restoration/stream-6738889_1280/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/02/stream-6738889_1280.jpg?fit1280%2C853&ssl1 data-orig-size1280,853 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titlestream-6738889_1280 data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/02/stream-6738889_1280.jpg?fit300%2C200&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/02/stream-6738889_1280.jpg?fit1024%2C682&ssl1 srchttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2024/02/stream-6738889_1280.jpg?resize1280%2C853&ssl1 altStream with rocks and trees classwp-image-7442 data-recalc-dims1/>/figure>p>Looking for an alternative method, she discovered the a hrefhttps://metergroup.com/products/accupar-lp-80/>LP-80 ceptometer/a>: a lightweight, field-portable instrument for measuring leaf area index. Using the LP-80, Zuckerman was able to rapidly assess the leaf area contribution of each tree species along the riparian corridor. Using this information, it was relatively straightforward for her to estimate the contribution of each tree species to the stream food web./p>p>Zuckerman’s research will help land managers and other researchers understand the importance of riparian vegetation for maximizing the food available to salmonid fish species. Improvement and maintenance of optimal stream-side vegetation composition should ultimately help to enhance salmon populations in the Pacific Northwest./p>ul>li>Discover the a hrefhttps://metergroup.com/products/accupar-lp-80>LP-80 ceptometer /a>/li>li>Download a hrefhttps://metergroup.com/education-guides/the-researchers-complete-guide-to-leaf-area-index-lai>“The researcher’s guide to leaf area index”/a>/li>/ul>p>a hrefhttps://go.meter.ly/l/1024491/2023-08-31/gmfb>/a>/p>div classns-buttons ns-inline ns-inline-below ns-no-print>div classns-buttons-wrapper>a hrefhttps://www.linkedin.com/shareArticle?titleA%20different%20approach%20to%20stream%20restoration&urlhttps%3A%2F%2Fenvironmentalbiophysics.org%2Fa-different-approach-to-stream-restoration%2F&minitrue aria-labelLinkedIn target_blank classns-button linkedin relnofollow noopener noreferrer>span classns-button-wrapper ns-button-block>span classns-button-icon ns-button-block>svg roleimg xmlnshttp://www.w3.org/2000/svg viewBox0 0 448 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0-24-10.8-24-24zm120.971-31.029L375.029 7.029A24 24 0 0 0 358.059 0H352v96h96v-6.059a24 24 0 0 0-7.029-16.97z/>/svg>/span>span classns-button-label ns-button-block ns-hide>span classns-button-label-wrapper>Copy/span>/span>/span>/a>/div>/div> /div>!--end entry--> /div>!--end post--> div idpost-7431 classclear post-7431 post type-post status-publish format-standard hentry category-accupar-lp-80 category-agriculture category-all-in-one-weather-station category-canopy category-ecology category-micrometeorology> div classpost-date-box no-thumb> div classpost-date> p>Jul 25/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/how-to-estimate-the-impact-of-radiation-sources-in-the-environment/#comments>1 Comment/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/how-to-estimate-the-impact-of-radiation-sources-in-the-environment/ relbookmark titleHow To Estimate the Impact of Radiation Sources in the Environment>How To Estimate the Impact of Radiation Sources in the Environment/a> /h2> p>What impact does direct solar radiation have on the overall radiation balance? Dr. Colin Campbell, WSU Environmental Biophysics professor and METER scientist, shows you how to do the calculations in our latest chalk talk. /p>figure classwp-block-embed is-type-rich is-provider-embed-handler wp-block-embed-embed-handler wp-embed-aspect-16-9 wp-has-aspect-ratio>div classwp-block-embed__wrapper>span classembed-youtube styletext-align:center; display: block;>iframe loadinglazy classyoutube-player width640 height360 srchttps://www.youtube.com/embed/i5fWx-ux_Ng?version3&rel1&showsearch0&showinfo1&iv_load_policy1&fs1&hlen-US&autohide2&start18&wmodetransparent allowfullscreentrue styleborder:0; sandboxallow-scripts allow-same-origin allow-popups allow-presentation allow-popups-to-escape-sandbox>/iframe>/span>/div>/figure>h2 classwp-block-heading>Transcript/h2>p>Hi, I’m Dr. Colin Campbell. And this is a METER Chalk Talk. /p>p>Have you ever been outside on a hot day walking in the full sun and then stepped into the shade? The relief is almost immediate. And I was thinking about that a lot when I was looking at this graph here, the estimated crop water loss on one of my experiments. /p>p>So this is an ET zero, meaning a reference ET. But since I was working grass, that was actually the estimated water loss from this grass crop. And what I noticed was that the shape of this curve kind of went up, and then went down. And it kind of matched right here, the solstice, the summer solstice. And in my mind, I thought, you know, what impact is direct solar radiation have on the overall radiation balance? Well, we can quickly just jump down and look at the equation that talks about how we might estimate the evapotranspiration from a crop. I’m not going to be able to have time here to get into what each of these variables mean. /p>p>But as you see, solar absorbed radiation, R abs is a strong component of that overall calculation. Now, when we talk about absorbed radiation, we need to understand that it’s not just all direct sunlight. In fact, if you assumed that, you’d be off in the weeds quite a bit, because it contains components of both longwave radiation, which is radiation that’s coming from your terrestrial surroundings, and shortwave radiation, that which is coming from predominantly the sun. /p>p>So let’s talk about that for a minute. With absorbed radiation, we have shortwave radiation. This is radiation that’s less than four micrometers. And we have longwave radiation. This is not surprisingly, from wavelengths greater than four micrometers. Now, this shortwave radiation, this comes from the sun longwave radiation comes from other sources, like trees, the sky, ground, just other objects that are around the temperature that we expect in the natural environment. Now, the truth of the matter is to get R abs, we need to combine both of these things into a single number. And it actually gets even more complex than that. So bear with us as we go on to the next equation. /p>p>R abs is a function of both shortwave radiation and long wave radiation. And when we calculate our radiation balance to get absorbed radiation, we have to actually take all of this into account. Now, you might be wondering, what are the other pieces in this equation, we’re going to spend a little time going over that. So you might understand how we can get from all of these numbers, all of these potential sources of radiation to a final number of R abs. /p>p>This portion of the equation here is shortwave radiation. And we’re going to talk about the variables in that equation. The first one we see is alpha s. It’s a number between zero and one. It signifies the percentage of shortwave radiation that the object can absorb. The other parameters in the equation include some F’s and some S’s. The F’s we call view factors, we’ll discuss view factors in more detail in another chalk talk. But suffice it to say that these essentially are parameters to estimate the amount of radiation that our object can see in its surroundings. /p>p>S stands for shortwave radiation. And this comes from several different sources. They include p: this is radiation that’s coming directly from the sun. That’s the one I mentioned earlier, that we feel if we’re standing in the direct sun, versus if we walk into the shade. But there are a couple of others. One is diffuse. This is the radiation that’s scattered as light comes into our atmosphere and it’s scattered by the atmosphere. /p>p>Finally, there’s R. This is reflected radiation, radiation that when it comes in, hits a surface, it reflects off that surface and comes and impinges on our object. Think about snow. If you’ve ever been skiing or out on the snow, you know, on a sunny day, you’re getting a lot of radiation that’s being reflected back. This portion of the equation over here is our longwave portion. Similar to our shortwave, it contains many of the same symbols, but they’re a little bit different. /p>p>The alpha L is the absorbed radiation. Now in the long wave that also goes from zero to one. The F is our view factor again, but now the view factor of longwave radiation, and L stands for that longwave radiation. This time, the subscripts A, that stands for atmosphere, and G stands for ground. If we put together all components in this equation, we’ll be able to solve for absorbed radiation. But that’s going to take a little bit of work. First, we need to understand the absorptivity of our surface both in the shortwave and the longwave. /p>p>The shortwave typically is calculated just from tables from looking out on the internet. For example, if I wanted to look at the absorptivity of a maple leaf, that’s typically around 50%. But it’s something that’s probably been calculated in literature. For our longwave radiation, almost all objects absorb long wave radiation at about 97 to 98% of the possible total. /p>p>So it’s pretty easy to estimate these absorptivities for objects that are fairly common. Calculating solar radiation and long wave radiation take a little bit more time. And especially understanding the view factors or how much of a particular surface our object sees, is going to take a whole chalk talk on its own. We’re going to leave this discussion here and leave for next time an opportunity to talk about how to calculate our shortwave radiation, or long wave radiation, and then get to the complicated discussion of view factors. /p>p>For more content like this, head over to our a hrefhttps://www.youtube.com/@METERGroup>YouTube channel/a>, or go to a hrefhttps://www.metergroup.com/en/meter-environment>metergroup.com/a>. 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24-24h72v296c0 30.879 25.121 56 56 56h168zm0-344V0H152c-13.255 0-24 10.745-24 24v368c0 13.255 10.745 24 24 24h272c13.255 0 24-10.745 24-24V128H344c-13.2 0-24-10.8-24-24zm120.971-31.029L375.029 7.029A24 24 0 0 0 358.059 0H352v96h96v-6.059a24 24 0 0 0-7.029-16.97z/>/svg>/span>span classns-button-label ns-button-block ns-hide>span classns-button-label-wrapper>Copy/span>/span>/span>/a>/div>/div> /div>!--end entry--> /div>!--end post--> div idpost-7413 classclear post-7413 post type-post status-publish format-standard hentry category-all-in-one-weather-station category-ecology category-horticulture tag-zenith-angle> div classpost-date-box no-thumb> div classpost-date> p>Jun 8/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/how-to-calculate-the-angle-of-the-sun/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/how-to-calculate-the-angle-of-the-sun/ relbookmark titleHow to calculate the angle of the sun>How to calculate the angle of the sun/a> /h2> p>Listen to Dr. Colin Campbell, WSU environmental biophysics professor, as he discusses how to calculate the angle of the sun, or solar zenith angle. /p>figure classwp-block-embed is-type-rich is-provider-embed-handler wp-block-embed-embed-handler wp-embed-aspect-16-9 wp-has-aspect-ratio>div classwp-block-embed__wrapper>span classembed-youtube styletext-align:center; display: block;>iframe loadinglazy classyoutube-player width640 height360 srchttps://www.youtube.com/embed/bRC8tlHl91Q?version3&rel1&showsearch0&showinfo1&iv_load_policy1&fs1&hlen-US&autohide2&wmodetransparent allowfullscreentrue styleborder:0; sandboxallow-scripts allow-same-origin allow-popups allow-presentation allow-popups-to-escape-sandbox>/iframe>/span>/div>/figure>h2 classwp-block-heading>Transcription/h2>p>Hi, I’m Dr. Colin Campbell. And this is a METER Chalk Talk. A couple of years ago, I was heading out into the backcountry and we wanted to figure out what kind of gear we should take along. A friend suggested we should just check the wind chill factor. But when I looked into it, we found out that it doesn’t even consider solar radiation in that calculation. Our exchange of energy in the environment is highly dependent on radiation, particularly solar radiation. And today, we’re going to talk a little bit more about that. Now the first thing to know about solar radiation is where the sun is in the sky. In fact, our absorbed radiation really depends on it. Interestingly, it’s one of the few things in life you can really count on. /p>p>With a few equations, we can figure out where the sun is in the sky at any time of the day. And I’m going to take you through some of these equations, one of the things I want you to know first is, they’re a little complicated, so don’t get stressed. In fact, if you just want to stop the video at a certain point. And check out these equations for a moment and write them down. That’s just fine. Now let’s just jump into it. /p>p>So here on my screen, I’m showing a graph of where the sun might be, at any point in a day if you were standing on the equator. Now in the middle, I’m going to draw this blue line across there, that is at the equinox. Now at the two solstices the sun might be here tracking across the sky, or here. And of course, this diagram is really showing kind of a fisheye picture of where that sun might be. There are two ways to describe where the sun is. One is a zenith angle. The zenith angle has a symbol, we call psi. In fact, the angle to the Earth’s surface from the perpendicular or normal, so this would be that zenith angle. Now there’s another angle we might be interested in, it’s called the Azmuth angle. But for our purposes of today, I just want to focus on this zenith angle because it’s the most important as we consider the radiation impact in an object that we’re interested in. /p>p>So to calculate the zenith angle, we’re going to go down and discuss the equation where this right here is zenith angle. And this here is the equation that we use to calculate that. Now you recognize the sines and cosines. And there’s just a couple other things in here. Of course, we’ve got t, which is time. And then a few other variables, phi. This is the latitude. Delta, this we call the solar declination, and finally, t zero, this is solar noon. Now before we get too crazy and worried about this equation, all we have to do is put in a few things into here, and we’ll be able to calculate that. So the first thing we need to know is the time of day. /p>p>Then we need to know the day of year. Now we actually call this a special name. This is called a Julian day. And it starts counting from January 1. The other things we need to know is of course, latitude, and longitude. And I’ll get to why in just a moment. The first parameter we’re going to try to find is called the solar declination. The solar declination equation looks pretty crazy. And anytime you see an equation like this in a book or something, the first assumption you should make is this is an empirical equation. As I look out on the internet and study other materials, I find that these equations actually are fairly common out there. And this isn’t exactly the way you see it in every piece of literature. But let me talk you through it here. /p>p>Really, there’s only one thing we need to know. It is the Julian day and we can go on the internet and calculate these a lot of programs just have those hard coded in like Excel. And all we need to do is just put that Julian day in for each of these values-here into here, and then we can eventually calculate the delta value. And then we can go put it back in this equation. So as long as we know the declination here, this is just the latitude. Let’s say my latitude is about 47 degrees. We just put that right here. All we need to know now is this t zero or solar noon. So what did we do for that? /p>p>Well, solar noon is calculated like this: t zero is equal to 12. That’s solar noon, and then we change it for wherever we are with respect to entered Meridian. And we call that the LC longitudinal correction, and then we also subtract off this equation of time t. We can start with the equation of time here. That’s this equation right here. And that’s not very small. In fact, not only is it not small, but it has a whole bunch of f’s in it. You can see f, here, this two times f, this is three times f, this is four times f. And now in the cosine or sines, then we have cosines here. So what is that? /p>p>Well, f is another one of these little bit long equations it is two point, or sorry, 279.575 plus 0.98565 times the Julian day. Now, if you get that, you just plug it back in here. And you can calculate your equation of time. And this is a number much smaller than one that you can plug in to this equation right here. Now, what about the longitudinal correction? /p>p>Well, the longitudinal correction Lc, that’s pretty straightforward. It’s essentially for every degree east of this of the standard meridian, you add 115. So for example, where I live, I’m at one 117.2 degrees, longitude, our standard meridian 120 degrees. And so the difference is, we’re east of that 2.8 degrees, and therefore the longitudinal correction, LC is just 2.8 over 15, or equal to 0.19h. So essentially, what I do is take that right there, and plug it in up here for the longitudinal correction. So essentially, we take 12, and we subtract off the longitudinal correction, and then with our equation of time, we get this value and eventually have t zero. /p>p>So what does all this mean? What does it sum up to? Well, there’s a lot of numbers in here. But if we go back to our initial equation, all we’re going to need to do now is simply this. We have our solar noon, we plug our time in. And then we use our solar declination here that we calculated on the first part of this discussion, our latitude here, and then suddenly, we’re able to calculate the Zenith Angle. And I’m going to try to link to a little calculation spreadsheet I did in Excel onto the sheet or onto the this video and then you can go ahead and look at that, how it’s done, and do your own calculations. For more content like this, check out our YouTube channel or head over to metergroup.com. 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classns-button-label ns-button-block ns-hide>span classns-button-label-wrapper>Copy/span>/span>/span>/a>/div>/div> /div>!--end entry--> /div>!--end post--> div idpost-7406 classclear post-7406 post type-post status-publish format-standard hentry category-agriculture category-ecology category-plant-genetics category-soils category-water-potential-sensors tag-water-potential tag-water-potential-sensor> div classpost-date-box no-thumb> div classpost-date> p>Apr 21/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/building-a-national-water-potential-network/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/building-a-national-water-potential-network/ relbookmark titleBuilding a National Water Potential Network>Building a National Water Potential Network/a> /h2> h2 classwp-block-heading>Champions of water potential/h2>p>Drs. Kim Novick and Jessica Guo team up to discuss the vital role water potential measurement plays in both plant and soil sciences and the work they are doing to establish the first-of-its-kind nationwide water potential network. Join their discussion to understand how a communal knowledge of these measurements could impact what we know about climate change and ecology as a whole./p>div classwp-block-image>figure classaligncenter size-large>img loadinglazy decodingasync width1024 height768 data-attachment-id7407 data-permalinkhttps://environmentalbiophysics.org/building-a-national-water-potential-network/strawberry-bushes-gc3ad856a0_1920/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?fit1920%2C1440&ssl1 data-orig-size1920,1440 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titlestrawberry-bushes-gc3ad856a0_1920 data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?fit300%2C225&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?fit1024%2C768&ssl1 srchttps://i0.wp.com/www.environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920-1024x768.jpg?resize1024%2C768&ssl1 alt classwp-image-7407 srcsethttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?resize1024%2C768&ssl1 1024w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?resize300%2C225&ssl1 300w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?resize150%2C113&ssl1 150w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?resize768%2C576&ssl1 768w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?resize1536%2C1152&ssl1 1536w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?resize620%2C465&ssl1 620w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/04/strawberry-bushes-gc3ad856a0_1920.jpg?w1920&ssl1 1920w sizes(max-width: 1000px) 100vw, 1000px data-recalc-dims1 />figcaption classwp-element-caption>A water potential measurement network could increase our understanding of climate change and ecology./figcaption>/figure>/div>h2 classwp-block-heading>a hrefhttps://www.metergroup.com/en/meter-environment/podcast/episode-24-building-national-water-potential-network>Listen to the podcast→/a>/h2>h2 classwp-block-heading>Notes/h2>p>Dr. Kim Novick is a professor, Paul H. O’Neill Chair, Fischer Faculty Fellow, and director of the Ph.D. Program in Environmental Sciences at Indiana University. She earned her bachelor’s and Ph.D. in environmental science at Duke University’s Nicholas School of the Environment. Her research areas span ecology and conservation, hydrology and water resources, and sustainability and sustainable development, with specific interests in land-atmosphere interactions, terrestrial carbon cycling, plant ecophysiology, and nature-based climate solutions./p>p>Dr. Jessica Guo is a plant ecophysiologist and data scientist who studies plant-environment interactions under extreme climate conditions. She earned her bachelor’s in environmental biology from Columbia University and her Ph.D. in biological sciences from Northern Arizona University. She is currently at the University of Arizona, where she blends her passion for reproducible workflows, interactive visualizations, and hierarchical Bayesian models with her expertise in plant water relations.br> /p>h2 classwp-block-heading>Links to learn more about Dr. Kim Novick/h2>ul>li>a hrefhttps://scholar.google.com/citations?userK5tffpEAAAAJ&hlen relnoreferrer noopener target_blank>Dr. Kim Novick on Google Scholar/a>/li>li>a hrefhttps://en.wikipedia.org/wiki/Kimberly_A._Novick relnoreferrer noopener target_blank>Dr. Kim Novick on Wikipedia/a>/li>li>a hrefhttps://oneill.indiana.edu/faculty-research/directory/profiles/faculty/full-time/novick-kimberly.html relnoreferrer noopener target_blank>Dr. Kim Novick’s faculty page at Indiana University/a>/li>/ul>h2 classwp-block-heading>Links to learn more about Dr. Jessica Guo/h2>ul>li>a hrefhttps://jessicaguo.github.io/ relnoreferrer noopener target_blank>Dr. Jessica Guo on GitHub/a>/li>li>a hrefhttps://scholar.google.com/citations?userQL5IkxkAAAAJ&hlen&oiao relnoreferrer noopener target_blank>Dr. Jessica Guo on Google Scholar/a>/li>li>a hrefhttps://datascience.cct.arizona.edu/person/jessica-guo relnoreferrer noopener target_blank>Dr. Jessica Guo’s faculty page at the University of Arizona/a>/li>/ul>h2 classwp-block-heading>Subscribe/h2>ul>li>a hrefhttps://www.metergroup.com/en/meter-environment/podcast relnoreferrer noopener target_blank>https://www.metergroup.com/en/meter-environment/podcast/a>/li>/ul>h2 classwp-block-heading>Follow us/h2>ul>li>a hrefhttps://twitter.com/meter_env relnoreferrer noopener target_blank>https://twitter.com/meter_env/a>/li>li>a hrefhttps://www.linkedin.com/showcase/meterenvironment/ relnoreferrer noopener target_blank>https://www.linkedin.com/showcase/meterenvironment//a>/li>/ul>h2 classwp-block-heading>Questions?/h2>p>Our scientists have decades of experience helping researchers and growers measure the soil-plant-atmosphere continuum. 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to signal they are under siege/strong> as a warning to other plants and to call in reinforcements to fend off the invasion. /p>figure data-carousel-extra{blog_id:1,permalink:https:\/\/environmentalbiophysics.org\/understanding-the-language-of-plants\/} classwp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex>figure classwp-block-image size-large>img loadinglazy decodingasync width1024 height683 data-attachment-id7390 data-permalinkhttps://environmentalbiophysics.org/understanding-the-language-of-plants/leaves-g2ed11c267_1920/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?fit1920%2C1280&ssl1 data-orig-size1920,1280 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titleleaves-g2ed11c267_1920 data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?fit300%2C200&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?fit1024%2C683&ssl1 data-id7390 srchttps://i0.wp.com/www.environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920-1024x683.jpg?resize1024%2C683&ssl1 alt classwp-image-7390 srcsethttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?resize1024%2C683&ssl1 1024w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?resize300%2C200&ssl1 300w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?resize150%2C100&ssl1 150w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?resize768%2C512&ssl1 768w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?resize1536%2C1024&ssl1 1536w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?resize620%2C413&ssl1 620w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/03/leaves-g2ed11c267_1920.jpg?w1920&ssl1 1920w sizes(max-width: 1000px) 100vw, 1000px data-recalc-dims1 />figcaption classwp-element-caption>a hrefhttps://www.metergroup.com/en/meter-environment/podcast/episode-21-understanding-language-plants>Listen to research/a> on pathogen infection, water stress, and how plants communicate and defend themselves./figcaption>/figure>/figure>p>How does this communication work? What else are plants doing to protect themselves from disease and predators alike? In our latest podcast, Natalie Aguirre, a PhD candidate and plant physiology and chemical ecology researcher at Texas A&M University, dives into her research on pathogen infection, water stress, and how plants communicate and defend themselves./p>p>a hrefhttps://www.metergroup.com/en/meter-environment/podcast/episode-21-understanding-language-plants>strong>LISTEN NOW→/strong>/a>/p>h2 classwp-block-heading>Notes/h2>p>Natalie Aguirre graduated with a degree in biology from Pepperdine University, where she completed an honors thesis conducting research on the interaction of drought stress and pathogen infection in chaparral shrubs. She then spent a year as a Fulbright scholar in Spain, studying the effect of water stress on Dutch Elm Disease. Most recently, Natalie worked for the Everglades Foundation, creating educational programs and materials about the Florida Everglades./p>h2 classwp-block-heading>Links to learn more about Natalie Aguirre/h2>p>a hrefhttps://scholar.google.com/citations?userIIOaPY8AAAAJ&hlen relnoreferrer noopener target_blank>Publications by Natalie /a>a hrefhttps://scholar.google.com/citations?userIIOaPY8AAAAJ&hlen relnoreferrer noopener target_blank>Aguirre/a>/p>p>a hrefhttps://loop.frontiersin.org/people/1382142/overview relnoreferrer noopener target_blank>Natalie Aguirre on Loop Open Science Research Network/a>/p>h2 classwp-block-heading>Subscribe/h2>p>a hrefhttps://www.metergroup.com/en/meter-environment/podcast>https://www.metergroup.com/en/meter-environment/podcast/a>/p>h2 classwp-block-heading>Follow us/h2>p>a hrefhttps://twitter.com/meter_env>https://twitter.com/meter_env/a>/p>p>a hrefhttps://www.linkedin.com/showcase/meterenvironment/>https://www.linkedin.com/showcase/meterenvironment//a>/p>h2 classwp-block-heading>Questions?/h2>p>Our scientists have decades of experience helping researchers and growers measure the soil-plant-atmosphere continuum. /p>ul>li>a hrefhttps://www.metergroup.com/en/meter-environment/contact-us>Talk to an expert/a>→a hrefhttps://www.metergroup.com/en/meter-environment/contact-us> /a>/li>li>a hrefhttps://www.metergroup.com/en/meter-environment/request-quote>Request a quote/a>→/li>/ul>p>strong>Disclaimer/strong>/p>p>The views and opinions expressed in the podcast and on this posting are those of the individual speakers or authors and do not necessarily reflect or represent the views and opinions held by METER./p>div classns-buttons ns-inline ns-inline-below ns-no-print>div classns-buttons-wrapper>a hrefhttps://www.linkedin.com/shareArticle?titleUnderstanding%20the%20Language%20of%20Plants&urlhttps%3A%2F%2Fenvironmentalbiophysics.org%2Funderstanding-the-language-of-plants%2F&minitrue aria-labelLinkedIn target_blank classns-button linkedin relnofollow 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24 0 0 0 358.059 0H352v96h96v-6.059a24 24 0 0 0-7.029-16.97z/>/svg>/span>span classns-button-label ns-button-block ns-hide>span classns-button-label-wrapper>Copy/span>/span>/span>/a>/div>/div> /div>!--end entry--> /div>!--end post--> div idpost-7360 classclear post-7360 post type-post status-publish format-standard hentry category-agriculture category-canopy category-irrigation category-sc-1 category-soil-moisture-sensors category-soils tag-agriculture tag-ecosystem tag-measurements tag-methods tag-sensors tag-sensorswatersoilssoil-moisture-sensorsoil-moisturewater-contentmeasurementsmethodsagricultureecosystem tag-water-content> div classpost-date-box no-thumb> div classpost-date> p>Jan 17/p> /div> div classpost-comments> a hrefhttps://environmentalbiophysics.org/water-resource-capture-turning-water-into-biomass/#respond>/a> /div> /div> div classentry> h2 classtitle> a hrefhttps://environmentalbiophysics.org/water-resource-capture-turning-water-into-biomass/ relbookmark titleWater Resource Capture: Turning Water Into Biomass>Water Resource Capture: Turning Water Into Biomass/a> /h2> p>As world water demand increases and supplies decrease, how can we turn more of the water we use for agriculture into biomass? In this webinar, Dr. Campbell dives deep into the measurement and implications of making the most of every drop of water./p>div classwp-block-image>figure classaligncenter size-large>img loadinglazy decodingasync width1024 height682 data-attachment-id7362 data-permalinkhttps://environmentalbiophysics.org/water-resource-capture-turning-water-into-biomass/irrigation-center-pivot/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?fit1280%2C853&ssl1 data-orig-size1280,853 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titleIrrigation-center-pivot data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?fit300%2C200&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?fit1024%2C682&ssl1 srchttps://i0.wp.com/www.environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot-1024x682.jpg?resize1024%2C682&ssl1 alt classwp-image-7362 srcsethttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?resize1024%2C682&ssl1 1024w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?resize300%2C200&ssl1 300w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?resize150%2C100&ssl1 150w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?resize768%2C512&ssl1 768w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?resize620%2C413&ssl1 620w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Irrigation-center-pivot.jpg?w1280&ssl1 1280w sizes(max-width: 1000px) 100vw, 1000px data-recalc-dims1 />figcaption classwp-element-caption>Learn how to measure the amount of water a crop will need./figcaption>/figure>/div>h2 classwp-block-heading>Crops turn sunlight, water, carbon dioxide, and nutrients into food/h2>p>The availability of those resources puts limitations on the amount of food a crop can produce. A previous webinar considered the limitations of sunlight. In this 30-minute webinar, world-renown environmental biophysicist, Dr. Gaylon S. Campbell, discusses how to measure the amount of water a crop will need and how to use that value to predict the amount of biomass it will produce./p>h2 classwp-block-heading>Achieve maximum biomass from every drop/h2>p>Join Dr. Campbell as he discusses the measurements and calculations needed to know how much biomass a given environment can produce. Dr. Campbell will discuss:/p>ul>li>How resource capture models work/li>li>How biomass production and water use are linked/li>li>Examples of effective uses of water resource capture models/li>li>Instrumentation needed to determine water and radiation limitations on yield/li>li>How to use soil and atmospheric measurements to quantify crop water capture/li>li>Water budgets and how they are used to get transpiration and biomass production/li>/ul>h2 classwp-block-heading>a hrefhttps://www.metergroup.com/en/meter-environment/webinars/water-resource-capture-turning-water-biomass>Register here→/a>/h2>h3 classwp-block-heading>Presenter/h3>div classwp-block-image>figure classaligncenter size-large is-resized>img loadinglazy decodingasync data-attachment-id7371 data-permalinkhttps://environmentalbiophysics.org/water-resource-capture-turning-water-into-biomass/screen-shot-2023-01-17-at-2-44-06-pm/ data-orig-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?fit924%2C1062&ssl1 data-orig-size924,1062 data-comments-opened1 data-image-meta{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"} data-image-titleScreen-Shot-2023-01-17-at-2.44.06-PM data-image-description data-image-caption data-medium-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?fit261%2C300&ssl1 data-large-filehttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?fit891%2C1024&ssl1 srchttps://i0.wp.com/www.environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM-891x1024.png?resize439%2C504&ssl1 alt classwp-image-7371 width439 height504 srcsethttps://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?resize891%2C1024&ssl1 891w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?resize261%2C300&ssl1 261w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?resize131%2C150&ssl1 131w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?resize768%2C883&ssl1 768w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?resize620%2C713&ssl1 620w, https://i0.wp.com/environmentalbiophysics.org/wp-content/uploads/2023/01/Screen-Shot-2023-01-17-at-2.44.06-PM.png?w924&ssl1 924w sizes(max-width: 439px) 100vw, 439px data-recalc-dims1 />/figure>/div>h2 classwp-block-heading>Dr. Gaylon S. Campbell /h2>p>Dr. Campbell has been a research scientist and engineer at METER for 19 years following nearly 30 years on faculty at Washington State University. Dr. Campbell’s first experience with environmental measurement came in the lab of Sterling Taylor at Utah State University making water potential measurements to understand plant water status. Dr. Campbell is one of the world’s foremost authorities on physical measurements in the soil-plant-atmosphere continuum. His book written with Dr. John Norman on Environmental Biophysics provides a critical foundation for anyone interested in understanding the physics of the natural world. Dr. Campbell has written three books, over 100 refereed journal articles and book chapters, and has several patents./p>h2 classwp-block-heading>Next steps/h2>ul>li>a hrefhttps://www.metergroup.com/en/meter-environment/webinars/radiation-resource-capture relnoreferrer noopener target_blank>Watch part one of the resource capture series/a>/li>li>Discover the a hrefhttps://www.metergroup.com/en/meter-environment/products/sc-1-leaf-porometer-stomatal-conductance>ACCUPAR LP-80/a>/li>li>See the a hrefhttps://www.metergroup.com/en/meter-environment/products/atmos-41-weather-station>ATMOS 41 weather station/a> or the wireless a hrefhttps://www.metergroup.com/en/meter-environment/products/atmos-41w-wireless-remote-weather-station>ATMOS 41W/a>/li>/ul>h2 classwp-block-heading>Questions?/h2>p>Our scientists have decades of experience helping researchers and growers measure the soil-plant-atmosphere continuum. /p>ul>li>a hrefhttps://www.metergroup.com/en/meter-environment/contact-us>Talk to an 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