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Research"}],"content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2025,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Understanding trait coordination and trade-offs along the root-to-leaf hydraulic pathway is critical for assessing forest functioning, as these traits significantly impact ecosystem carbon allocation and water use. Here, we investigated the relationship between carbon and hydraulic traits in 11 Amazonian tree species distributed across vertically structured hydrological niches. Using a carbon-hydraulic framework, we tested the hypothesis that interspecific differences arise from the optimization of xylem hydraulic efficiency, reflecting how tropical trees balance water transport efficiency with the carbon costs of maintaining transport tissues across vertical canopy positions. Our results show that above-ground traits were largely explained by canopy position (vertical stratification), whereas below-ground carbon-hydraulic traits were predominantly influenced by interspecific differences. Upper canopy trees exhibited lower and less variable specific root length (SRL) than shallow-rooted understory trees, indicating divergent carbon allocation strategies. Thicker terminal roots had higher hydraulic conductivity (Ks) than finer roots, but Ks declined from roots to terminal branches in most species. Additionally, branch and leaf Ks increase with tree size, indicating greater hydraulic efficiency in larger canopy species. Below-ground, we presented evidence that an increase in SRL is linked to decreased hydraulic conductivity and is influenced by root diameter. Above-ground, branch and leaf hydraulic conductivity tend to be higher in species with higher wood density, which are also more prevalent in upper canopy layers. Together, our findings reveal a coordinated above- and below-ground carbon-hydraulic trait framework across Amazonian trees. Species that occupy different vertical above-ground hydrological niches in lowland Amazon forests exhibit different carbon allocation strategies, which helps explain variation in species dominance and resource use throughout the vertical forest profile.<\/jats:p>","DOI":"10.1093\/treephys\/tpaf063","type":"journal-article","created":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T08:43:34Z","timestamp":1748940214000},"source":"Crossref","is-referenced-by-count":1,"title":["Unveiling the integration of above- and below-ground tree carbon-hydraulic traits in Amazonian trees across hydrological niches"],"prefix":"10.1093","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9790-254X","authenticated-orcid":false,"given":"Mauro","family":"Brum","sequence":"first","affiliation":[{"name":"Department of Ecology and Evolutionary Biology, University of Arizona , 1041 E. 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Young Drive East, La Kretz Hall, Suite 300, Box 951496, Los Angeles, CA 90095-1496 ,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2331-3056","authenticated-orcid":false,"given":"Elizabeth","family":"Agee","sequence":"additional","affiliation":[{"name":"Department of Civil & Environmental Engineering, University of Michigan , 2350 Hayward Street, 2105 GG Brown Building, Ann Arbor, MI 48109-2125 ,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5198-1211","authenticated-orcid":false,"given":"Luciano","family":"Pereira","sequence":"additional","affiliation":[{"name":"Institute of Botany, Ulm University, Albert-Einstein-Allee 11 , Ulm 89081 ,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deliane","family":"Penha","sequence":"additional","affiliation":[{"name":"Instituto de Ci\u00eancias e Tecnologia das \u00c1guas, Programa de P\u00f3s-Gradua\u00e7\u00e3o em Biodiversidade, Universidade Federal do Oeste do Par\u00e1, Rua Vera Paz S\/N, Bairro Sal\u00e9 , Santar\u00e9m, PA 68040-255 ,","place":["Brazil"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4258-9098","authenticated-orcid":false,"given":"Carina","family":"Araujo","sequence":"additional","affiliation":[{"name":"Departmento de Biologia Vegetal, Programa de P\u00f3s Gradua\u00e7\u00e3o em Ecologia e Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas \u2013 UNICAMP , Rua Monteiro Lobato 255, Campinas, SP 13083-970 ,","place":["Brazil"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7439-5234","authenticated-orcid":false,"given":"Juliana L S","family":"Mayer","sequence":"additional","affiliation":[{"name":"Departmento de Biologia Vegetal, Programa de P\u00f3s Gradua\u00e7\u00e3o em Ecologia e Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas \u2013 UNICAMP , Rua Monteiro Lobato 255, Campinas, SP 13083-970 ,","place":["Brazil"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7770-3087","authenticated-orcid":false,"given":"Victor Hugo","family":"Pereira Moutinho","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio de Tecnologia da Madeira, Programa de P\u00f3s Gradua\u00e7\u00e3o em Ci\u00eancia, Tecnologia e Inova\u00e7\u00e3o Florestal, Universidade Federal do Oeste do Par\u00e1 , Rua Vera Paz S\/N, Bairro Sal\u00e9, Santar\u00e9m, PA 68040-255 ,","place":["Brazil"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6392-2526","authenticated-orcid":false,"given":"Rafael S","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Departmento de Biologia Vegetal, Programa de P\u00f3s Gradua\u00e7\u00e3o em Ecologia e Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas \u2013 UNICAMP , Rua Monteiro Lobato 255, Campinas, SP 13083-970 ,","place":["Brazil"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4974-3628","authenticated-orcid":false,"given":"Scott","family":"Stark","sequence":"additional","affiliation":[{"name":"Department of Forestry, Michigan State University , 480 Wilson Rd, East Lansing, MI 48824 ,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Scott R","family":"Saleska","sequence":"additional","affiliation":[{"name":"Department of Ecology and Evolutionary Biology, University of Arizona , 1041 E. 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Therefore, understanding the mechanisms that control urban climates has substantial societal importance to a variety of sectors, including public health and energy management. In this study, data from an urban sensor network (25 stations) and moderate-resolution remote sensing were used to explore how spatial variation in near-surface air temperature <jats:italic>T<\/jats:italic><jats:sub><jats:italic>a<\/jats:italic><\/jats:sub>, vapor pressure deficit (VPD), and land surface temperature (LST) depend on local variations in urban land use, both diurnally and seasonally, in the Boston, Massachusetts, metropolitan area. Positive correlations were observed between the amount of local impervious surface area (ISA) and both <jats:italic>T<\/jats:italic><jats:sub><jats:italic>a<\/jats:italic><\/jats:sub> and VPD. Heat-island effects peaked during the growing-season nighttime, when mean <jats:italic>T<\/jats:italic><jats:sub><jats:italic>a<\/jats:italic><\/jats:sub> and VPD increased by up to 0.02\u00b0C and 0.008 kPa, respectively, per unit ISA. Air temperature and VPD were strongly coupled, but their relationship exhibited significant diurnal hysteresis during the growing season, with changes in VPD generally preceding changes in <jats:italic>T<\/jats:italic><jats:sub><jats:italic>a<\/jats:italic><\/jats:sub>. Over 79% of the urban\u2013rural difference in VPD was explained by differences in near-surface atmospheric water content, which the authors attribute to reduced evapotranspiration from lower canopy cover in Boston\u2019s urban core. Changes in daytime heat-island intensity were mediated by seasonal feedbacks between vegetation transpiration and VPD forcing. Differences between LST and <jats:italic>T<\/jats:italic><jats:sub><jats:italic>a<\/jats:italic><\/jats:sub> showed weaker coupling in highly urbanized areas than in rural areas, with summertime surface-urban-heat-island intensity (based on LST) being up to 14\u00b0C higher than corresponding urban\u2013rural differences in <jats:italic>T<\/jats:italic><jats:sub><jats:italic>a<\/jats:italic><\/jats:sub>.<\/jats:p>","DOI":"10.1175\/jamc-d-16-0325.1","type":"journal-article","created":{"date-parts":[[2016,12,15]],"date-time":"2016-12-15T18:44:35Z","timestamp":1481827475000},"page":"817-831","source":"Crossref","is-referenced-by-count":34,"title":["Gradients of Atmospheric Temperature and Humidity Controlled by Local Urban Land-Use Intensity in Boston"],"prefix":"10.1175","volume":"56","author":[{"given":"J. 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Digitization of many tens of thousands of micropaleontological specimen slides, as evidenced by the effort presented here by the Indiana University Paleontology Collection, has been a concerted effort in adherence to the recommended practices of multifaceted aspects of collections management for both physical and digital collections resources. This presentation highlights the contributions of distributed cyberinfrastructure from the National Science Foundation-supported Extreme Science and Engineering Discovery Environment (XSEDE) for web-hosting of collections management system resources and distributed processing of millions of digital images and metadata records of specimens from our collections.<\/jats:p>\n          <jats:p>The Indiana University Center for Biological Research Collections is currently hosting its instance of the Specify collections management system (CMS) on a virtual server hosted on Jetstream, the cloud service for on-demand computational resources as provisioned by XSEDE. This web-service allows the CMS to be flexibly hosted on the cloud with additional services that can be provisioned on an as-needed basis for generating and integrating digitized collections objects in both web-friendly and digital preservation contexts. On-demand computing resources can be used for the manipulation of digital images for automated file I\/O, scripted renaming of files for adherence to file naming conventions, derivative generation, and backup to our local tape archive for digital disaster preparedness and long-term storage.<\/jats:p>\n          <jats:p>Here, we will present our strategies for facilitating reproducible workflows for general collections digitization of the IUPC nomenclatorial types and figured specimens in addition to the gigapixel resolution photographs of our large collection of microfossils using our GIGAmacro system (e.g., this slide of conodonts). We aim to demonstrate the flexibility and nimbleness of cloud computing resources for replicating this, and other, workflows to enhance the findability, accessibility, interoperability, and reproducibility of the data and metadata contained within our collections.<\/jats:p>","DOI":"10.3897\/biss.2.25643","type":"journal-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T07:00:13Z","timestamp":1530774013000},"page":"e25643","source":"Crossref","is-referenced-by-count":0,"title":["Collections Management and High-Throughput Digitization using Distributed Cyberinfrastructure Resources"],"prefix":"10.3897","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6712-2139","authenticated-orcid":true,"given":"Gary","family":"Motz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Zimmerman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kimberly","family":"Cook","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alyssa","family":"Bancroft","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2258","published-online":{"date-parts":[[2018,7,5]]},"container-title":["Biodiversity Information Science and Standards"],"link":[{"URL":"https:\/\/biss.pensoft.net\/lib\/ajax_srv\/article_elements_srv.php?action=download_pdf&item_id=25643","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/biss.pensoft.net\/lib\/ajax_srv\/article_elements_srv.php?action=download_xml&item_id=25643","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/biss.pensoft.net\/article_preview.php?id=25643&skip_redirect=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T07:00:21Z","timestamp":1530774021000},"score":0.0,"resource":{"primary":{"URL":"https:\/\/biss.pensoft.net\/articles.php?id=25643"}},"issued":{"date-parts":[[2018,7,5]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3897\/biss.2.25643","ISSN":["2535-0897"],"issn-type":[{"type":"electronic","value":"2535-0897"}],"published":{"date-parts":[[2018,7,5]]}},{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T18:33:50Z","timestamp":1649097230719},"reference-count":0,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2006,3,7]],"date-time":"2006-03-07T00:00:00Z","timestamp":1141689600000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2006,3,1]],"date-time":"2006-03-01T00:00:00Z","timestamp":1141171200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["EPS-0346476"],"award-info":[{"award-number":["EPS-0346476"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011141","name":"Agricultural Research Division, Institute of Agriculture and Natural Resources","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011141","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["FASEB j."],"published-print":{"date-parts":[[2006,3]]},"DOI":"10.1096\/fasebj.20.5.a861-c","type":"journal-article","created":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T11:42:52Z","timestamp":1623066172000},"source":"Crossref","is-referenced-by-count":0,"title":["Dietary fatty acids regulate NPC1L1 gene expression in mouse intestine"],"prefix":"10.1096","volume":"20","author":[{"given":"Elliot D.","family":"Jesch","sequence":"first","affiliation":[{"name":"Nutrition &amp; 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We examine heat and air pollution across the census block groups (CBGs) of 55 US cities to evaluate the distribution and sources of inequities in multihazard exposure. The study combines measures of temperature from a volunteer science campaign; air pollution from remote sensing; street density and tree canopy as hazard-driving infrastructure; and demographics. On average, heat and air pollution were moderately correlated across the CBGs of a city (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mover accent=\"true\">\n                            <mml:mi>r<\/mml:mi>\n                            <mml:mo>\u00af<\/mml:mo>\n                          <\/mml:mover>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mo>.<\/mml:mo>\n                          <mml:mn>34<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ), but this measure of multihazard exposure varied substantially. Multihazard exposure was greatest in cities where neighborhoods with high street density often lacked tree canopy. In those same cities, low-income communities tended to live in neighborhoods with greater hazard-driving infrastructure. Cities with less coincidence between high street density and low canopy coverage, however, had less multihazard exposure and, in turn, fewer inequities. Consequently, multihazard exposure was inequitably concentrated in low-income communities in most, but not all, cities. The results implicate a two-step process for how multihazard exposure emerges in a city. First, discrete decisions begin to create exposures in certain neighborhoods. 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