Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
443
datasets available to search
ShareScore release 0.9.0
Dataset results
443 results for “coastal plants”
Hurricane Harvey: Coastal wetland plant responses and recovery in Texas: 2014-2019
The capacity of coastal wetlands to stabilize shorelines and reduce erosion is a critical ecosystem service, and it is uncertain how changes in dominant vegetation may affect coastal protection. As part of a long-term study comparing ecosystem functions of marsh and black mangrove vegetation, we have experimentally maintained marsh and black mangrove patches (3 m x 3 m) along a plot-level (24 m x 42 m) gradient of marsh and mangrove cover in coastal wetlands near Port Aransas, Texas. In August 2017, this experiment was directly in the path of Hurricane Harvey, a Category 4 storm. This extreme disturbance event provided an opportunity to quantify differences in resistance between mangrove and marsh vegetation, and the recovery trajectories following the storm. We collected data on changes in plant cover and height from 2014-2019.
Data from: The contribution of hybridization to range‐wide population genetic structure in a Pacific coastal dune plant
<p>Premise of the study: Interspecific hybridization can cause genetic structure across species ranges if the mating system and degree of sympatry/parapatry with close relatives varies geographically. The coastal dune endemic <em>Camissoniopsis cheiranthifolia</em> (Onagraceae) exhibits genetic subdivisions across its range, some of which are associated with shifts in mating system from outcrossing to selfing, while others are not. For instance, strong differentiation between large-flowered, self-incompatible (LF-SI) and large-flowered, self-compatible (LF-SC) populations occurs without much reduction in outcrossing or obvious barriers to gene flow. We hypothesized that LF-SI diverged from LF-SC via hybridization with the predominantly inland SI sister species <em>C. bistort</em>a.</p> <p>Methods: We analyzed spatial proximity using 1460 herbarium records, and genetic variation at 12 microsatellites assayed for 805 and 404 individuals from 32 <em>C. cheiranthifolia</em> and 18 <em>C. bistorta</em> populations, respectively. We also assayed nine chloroplast microsatellites for 124 and 111 individuals from 27 and 19 populations, respectively. </p> <p>Key results: Closer parapatry was associated with unexpectedly high genetic continuity between LF-SI <em>C. cheiranthifolia</em> and <em>C. bistorta</em>. LF-SI genotypes clustered with <em>C. bistorta</em> exclusive of other <em>C. cheiranthifolia</em> genotypes. Similarly, pairwise FST among SI <em>C. cheiranthifolia</em> and <em>C. bistorta</em>, adjusted for geographic proximity, was not higher between heterospecific than conspecific populations. </p> <p>Conclusions: The lack of genetic differentiation between LF-SI <em>C. cheiranthifolia</em> and <em>C. bistorta</em> populations, even those located away from the zone of parapatry, suggests that LF-SI <em>C. cheiranthifolia</em> instead of hybridizing with <em>C. bistorta</em> is rather an ecotype of <em>C. bistorta</em> that has adapted to coastal dune habitat independent of other lineages in <em>C. cheiranthifolia</em> proper.</p>
Fig. 2. A in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity
Fig. 2. A typical morphology of T. maritima plants grown in different substrates for 7 weeks.
Coastal marsh vulnerability to sea-level rise is exacerbated by plant species invasion
<p>In this dataset, it compasses the data and mat code file to visualize figures in the manuscript. </p>
Table 2 in New records of phytoseiid mites (Acari: Phytoseiidae) on solanaceous plants in the Syrian coastal region
<p><b>Table 2</b> Phytoseiid and associated phytophagous mites from each solanaceous species of each sampling site visited between 2018 and 2020 in Latakia and Tartus governorates in the Syrian coastal region.</p><table><tbody><tr><th>Site</th><th>Geographic coordinates /a.a.s.l.</th><th>Collection date</th><th>Plant species <b>(Type of locality)</b></th><th>Predatory mite species</th><th>Number of specimens</th><th><b>Associated phytophagous mites</b></th></tr><tr><th><b>Latakia</b></th></tr></tbody><tbody><tr><th>Zaghreen</th><td>35°43' 54.6"N, 35°52' 59.2"E</td><td>2-XI-2018</td><td><i>Solanum melongena Amblyseius swirskii</i></td><td>5♀♀, 2♂♂</td><td><i>Tetranychus urticae</i></td></tr><tr><td>/ 47 m</td><td></td><td>(Open-field)</td><td></td><td></td><td><i>Brevipalpus obovatus</i></td></tr><tr><th>Wadi Qandil</th><td>35°42'48.5"N 35°52' 08.7"E</td><td>4-XI-2018</td><td>S. melongena</td><td><i>A. swirskii</i></td><td>2♀♀, 1♂, 2i*</td><td><i>T. urticae</i></td></tr><tr><td>/ 23 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Burj Islam</th><td>35°40'41.5"N, 35°47'46.0"E</td><td>4-XI-2018</td><td><i>S. melongena</i></td><td><i>Typhlodromus</i> (<i>Anthoseius</i>) <i>rickeri</i></td><td>2♀♀, 4i</td><td><i>T. urticae</i></td></tr><tr><td>/ 26 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Al-Qutailibiyah</th><td>35°18'43.1"N, 35°59'41.1"E</td><td>1-III-2019</td><td>S. lycopersicum</td><td><i>Phytoseiulus persimilis</i></td><td>1♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 74 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Al-Aaqbiyeh</th><td>35°16'27.8"N, 35°58'03.4"E</td><td>8-IX-2019</td><td>S. melongena</td><td><i>Neoseiulus barkeri</i></td><td>2♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 20 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Al-Aaqbiyeh</th><td>35°16'43.7"N, 35°58' 20.7"E</td><td>8-IX-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>1♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 28 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Al-Borjan</th><td>35°18' 10.5"N, 35°57'46.0"E</td><td>8-IX-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>2♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 32 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Al-Borjan</th><td>35°17'46.4"N, 35°58'45.0"E</td><td>8-IX-2019</td><td>S. melongena</td><td><i>Phytoseius finitimus</i></td><td>1♀, 1♂, 2i</td><td><i>T. urticae</i></td></tr><tr><td>/ 56 m</td><td></td><td>(Open-field)</td><td></td><td></td><td><i>Polyphagotarsonemus latus</i></td></tr><tr><th>Al-Mrouj</th><td>35°33'52.2"N, 35°45' 37.2"E</td><td>13-IX-2019</td><td>S. nigrum</td><td><i>P. persimilis</i></td><td>2♀♀, 3♂♂</td><td><i>T. urticae</i></td></tr><tr><td>/ 10 m</td><td></td><td>(Uncultivated)</td><td><i>Iphiseius degenerans</i></td><td>3♀♀, 1♂</td><td></td></tr><tr><td></td><td></td><td></td><td><i>Typhlodromus</i> (<i>Typhlodromus</i>) <i>athiasae</i></td><td>2♀♀</td><td></td></tr><tr><th>AL-Maghrit</th><td>35°36'13.1"N, 35°49' 19.9"E</td><td>15-XI-2019</td><td>S. nigrum</td><td><i>I. degenerans</i></td><td>3♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 60 m</td><td></td><td>(Uncultivated)</td><td><i>T</i>. (<i>A</i>.) <i>rickeri</i></td><td>2♀♀, 1♂</td><td></td></tr><tr><th>Bereen</th><td>35°36' 00.8"N, 36°05'35.7"E</td><td>18-IX-2019</td><td>S. lycopersicum</td><td><i>Typhlodromus (Anthoseius) recki</i></td><td>2♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 624 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Al-Dakleyiah</th><td>35°37'04.0"N, 36°04'28.7"E</td><td>18-IX-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>24♀♀, 10♂♂, 13i</td><td><i>T. urticae</i></td></tr><tr><td>/ 530 m</td><td></td><td>(Open-field)</td><td><i>T</i>. (<i>T</i>.) <i>athiasae</i></td><td>2♀♀, 1♂, 1i</td><td></td></tr><tr><th>Er Ruwaysah</th><td>35°50'32.0"N, 35°52'42.3"E</td><td>19-XI-2019</td><td><i>S. melongena</i></td><td><i>T</i>. (<i>T</i>.) <i>athiasae</i></td><td>2♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 33 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Al-Isawiyah</th><td>35°47'24.8"N, 35°51'02.5"E</td><td>19-XI-2019</td><td><i>S. melongena</i></td><td><i>T</i>.(<i>A</i>.) <i>recki</i></td><td>4♀♀</td><td><i>B. obovatus</i></td></tr><tr><td>/ 116 m</td><td></td><td>(Open-field)</td><td><i>P. finitimus</i></td><td>9♀♀, 1i</td><td></td></tr><tr><td></td><td></td><td></td><td><i>Euseius scutalis</i></td><td>10♀♀, 1i</td><td></td></tr><tr><th>Wadi Qandil</th><td>35°42'49.7"N, 35°51'28.7"E</td><td>26-XI-2019</td><td>S. melongena</td><td><i>A. swirskii</i></td><td>3♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 20 m</td><td></td><td>(Open-field)</td><td><i>T</i>. (<i>T</i>.) <i>athiasae</i></td><td>1♀</td><td></td></tr><tr><th>Slago</th><td>35°26' 13.7"N, 36°01'14.7"E</td><td>2-IX-2020</td><td><i>S. lycopersicum</i></td><td><i>T</i>. (<i>T</i>.) <i>athiasae</i></td><td>2♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 154 m</td><td></td><td>(Open-field)</td><td><i>P. persimilis</i></td><td>3♀♀</td><td></td></tr><tr><td></td><td></td><td></td><td><i>Amblyseius andersoni</i></td><td>1♀</td><td></td></tr><tr><th>Slago</th><td>35°26'18.0"N, 36°01'17.4"E</td><td>2-IX-2020</td><td>S. lycopersicum</td><td><i>P. persimilis</i></td><td>4♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 162 m</td><td></td><td>(Open-field)</td><td><i>T</i>.(<i>A</i>.) <i>recki</i></td><td>1♀</td><td></td></tr><tr><th>Rouiset Qasmin</th><td>35°37' 31.5"N, 35°53'55.4"E</td><td>29-X-2020</td><td>S. melongena</td><td><i>E. scutalis</i></td><td>4♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 209 m</td><td></td><td>(Open-field)</td><td><i>P. finitimus</i></td><td>4♀♀</td><td></td></tr><tr><th>Zaghreen</th><td>35°43' 08.5"N, 35°53' 28.7"E</td><td>31-X-2020</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>1♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 39 m</td><td></td><td>(Open-field)</td><td></td><td></td><td><i>B. obovatus</i></td></tr><tr><th>Zaghreen</th><td>35°43'05.0"N, 35°53' 24.5"E</td><td>31-X-2020</td><td>S. melongena</td><td><i>P. finitimus</i></td><td>1♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 40 m</td><td></td><td>(Open-field)</td><td></td><td></td><td><i>B. obovatus</i></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td><i>Brevipalpus californicus</i></td></tr><tr><th>Asurskia</th><td>35°42'26.8"N, 35°54' 19.5"E</td><td>31-X-2020</td><td>S. melongena</td><td><i>A. swirskii</i></td><td>1♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 34 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Asurskia</th><td>35°42'26.5"N, 35°53' 27.5"E</td><td>31-X-2020</td><td>S. melongena</td><td><i>P. finitimus</i></td><td>10♀♀, 4♂♂</td><td><i>T. urticae</i></td></tr><tr><td>/ 32 m</td><td></td><td>(Open-field)</td><td><i>A. swirskii</i></td><td>3♀♀</td><td><i>B. obovatus</i></td></tr><tr><th><b>Tartus</b></th></tr><tr><th>Ibtellah</th><td>35°13'19.9"N, 35°59'17.9"E</td><td>27-IV-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>2♀♀, 2♂♂, 2i</td><td><i>T. urticae</i></td></tr><tr><td>/ 141 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Kharab Marqueh</th><td>35°02'49.3"N, 35°53'48.7"E</td><td>11-V-2019</td><td>S. lycopersicum</td><td><i>P. persimilis</i></td><td>6♀♀, 2♂♂, 5i</td><td><i>T. urticae</i></td></tr><tr><td>/ 20 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Al-Rawda</th><td>35°03'54.1"N, 35°53' 29.7"E</td><td>11-V-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>2♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 13 m</td><td></td><td>(Greenhouse)</td><td><i>Neoseiulus californicus</i></td><td>4♀♀</td><td></td></tr><tr><th>Al-Khrab</th><td>35°02'49.3"N, 35°53'48.7"E</td><td>11-V-2019</td><td>S. nigrum</td><td><i>E. scutalis</i></td><td>8♀♀</td><td>none</td></tr><tr><td>/ 20 m</td><td></td><td>(Uncultivated)</td><td></td><td></td><td></td></tr><tr><th>Yahmoor</th><td>34°48'06.6"N, 35°58'11.5"E</td><td>31-V-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>62♀♀, 4♂♂, 2i</td><td><i>T. urticae</i></td></tr><tr><td>/ 57 m</td><td></td><td>(Greenhouse)</td><td><i>N. barkeri</i></td><td>1♀</td><td></td></tr><tr><th>Talsnon</th><td>34°40' 22.8"N, 36°06' 11.4"E</td><td>13-VI-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>1♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 44 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Talsnon</th><td>34°40' 39.5"N, 36°06'00.4"E</td><td>13-VI-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>2♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 44 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Maten Al-Sahel</th><td>35°01' 18.4"N, 35°54'34.8"E</td><td>15-VI-2019</td><td>S. lycopersicum</td><td><i>P. persimilis</i></td><td>3♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 25 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Busayrah Al-Jadidah</th><td>34°59'35.3"N, 35°53' 24.5"E</td><td>15-VI-2019</td><td>S. lycopersicum</td><td><i>P. persimilis</i></td><td>1♀, 4i</td><td><i>T. urticae</i></td></tr><tr><td>/ 10 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Zahed</th><td>34°41' 34.0"N, 36°00'05.2"E</td><td>1-VII-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>11♀♀, 11♂♂, 14i</td><td><i>T. urticae</i></td></tr><tr><td>/ 20 m</td><td></td><td>(Greenhouse)</td><td></td><td></td><td></td></tr><tr><th>Al-Qlue</th><td>35°15' 39.8"N, 35°56' 17.8"E</td><td>31-VII-2019</td><td>S. melongena</td><td><i>N. californicus</i></td><td>48♀♀, 24♂♂, 7i</td><td>1 none</td></tr><tr><td>/ 12 m</td><td></td><td>(Open-field)</td><td><i>E. scutalis</i></td><td>1♀</td><td></td></tr><tr><th>Salib</th><td>35°06' 20.6"N, 36°06'29.3"E</td><td>20-X-2019</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>4♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 703 m</td><td></td><td>(Open-field)</td><td><i>P. finitimus</i></td><td>28♀♀, 4♂, 1i</td><td></td></tr><tr><td></td><td></td><td></td><td><i>T</i>. (<i>T</i>.) <i>athiasae</i></td><td>1♀</td><td></td></tr><tr><th>Nab’e El-Dulbah</th><td>34°55' 10.8"N, 36°08'48.5"E</td><td>24-IX-2020</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>1♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 380 m</td><td></td><td>(Open-field)</td><td></td><td></td><td><i>Tenuipalpus punicae</i></td></tr><tr><th>Bait Yousef</th><td>34°55' 45.0"N, 36°12'51.2"E</td><td>24-IX-2020</td><td>S. lycopersicum</td><td><i>P. persimilis</i></td><td>3♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 840 m</td><td></td><td>(Open-field)</td><td><i>P. finitimus</i></td><td>2♀♀</td><td></td></tr><tr><th>Bait Yousef</th><td>34°55'47.7"N 36°12'50.2"E</td><td>24-IX-2020</td><td>S. melongena</td><td><i>P. persimilis</i></td><td>10♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 847 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Bait Yousef</th><td>34°55'37.7"N, 36°12'57.6"E</td><td>24-IX-2020</td><td>S. lycopersicum</td><td><i>P. persimilis</i></td><td>5♀♀</td><td><i>T. urticae</i></td></tr><tr><td>/ 888 m</td><td></td><td>(Open-field)</td><td></td><td></td><td></td></tr><tr><th>Al-Shaykh Badr</th><td>34°59'23.7"N, 36°03' 38.4"E</td><td>9-XI-2020</td><td>S. melongena</td><td><i>Euseius stipulatus</i></td><td>8♀♀, 1♂</td><td><i>T. urticae</i></td></tr><tr><td>/ 508 m</td><td></td><td>(Open-field)</td><td></td><td></td><td><i>B. obovatus</i></td></tr><tr><th>Al-Wardieh</th><td>35°01'08.7"N, 36°02'49.3"E</td><td>9-XI-2020</td><td>S. melongena</td><td><i>P. finitimus</i></td><td>4♀♀, 1♂</td><td><i>T. urticae</i></td></tr><tr><td>/ 479 m</td><td></td><td>(Open-field)</td><td><i>T</i>. (<i>A</i>.) <i>recki</i></td><td>1♀</td><td><i>B. obovatus</i></td></tr></tbody></table><p>*: immatures; 1 associated with phytophagous thrips species.: a</p><p>*: immatures;: associated with a phytophagous thrips species.</p>
Data from: Ancestral area analyses reveal Pleistocene-influenced evolution in a clade of Coastal Plain endemic plants
<p><strong>AIM:</strong> The North American Coastal Plain is currently recognized as a global biodiversity hotspot. However, the mechanisms driving high levels of species richness in a region with relatively low topographic relief and homogeneous climate are unclear. We investigated the evolutionary processes driving ancestral area evolution and diversification in a biodiversity hotspot from both a systematic and biogeographic context using a clade endemic to the hotspot.</p> <p><strong>LOCATION</strong>: North American Coastal Plain</p> <p><strong>TAXON</strong>: The Scrub Mint clade comprises <em>Dicerandra</em>, <em>Conradina</em>, <em>Piloblephis</em>, <em>Stachydeoma</em>, and four species of <em>Clinopodium</em> (Mentheae; Lamiaceae), almost all of which are endemic to the North American Coastal Plain. </p> <p><strong>METHODS</strong>: We generated a dated phylogeny using a target enrichment/capture dataset and then calculated ancestral area using biogeographic models. We uncovered neo- and paleo-endemism hotspots and inferred ancestral potential ranges at each node based on ancestral niche reconstructions and paleoclimatic data to understand the geographic range evolution of subclades. </p> <p><strong>RESULTS</strong>: Ancestral area for the SMC was inferred to be the Florida Panhandle/Apalachicola River basin. A diversification event likely happened around the mid-Pleistocene Transition. Endemism hotspots were recovered in NE Florida, the Atlantic Coastal Ridge, and along the Lake Wales Ridge. Reconstructions of potential ranges support biogeographic findings, with the ancestor of the SMC likely located in the vicinity of the northeastern Gulf Coast during interglacial and glacial periods.</p> <p><strong>MAIN</strong> <strong>CONCLUSIONS</strong>: The timing of diversification events and colonization of new areas by ancestors of the SMC is consistent with the timing of major geological events in the region. The presence of multiple types of endemism highlights the complexity of evolutionary and ecological processes that foster the large number of endemic taxa found in this region. Efforts to identify hotspots in this region will be critical to preserving the remaining pockets of biodiversity threatened by global change.</p>
Population bottleneck associated with but likely preceded the recent evolution of self-fertilization in a coastal dune plant
<p>Evolution of self-fertilization may be initiated by a historical population bottleneck, which should diagnostically reduce lineage-wide genetic variation. However, selfing can also strongly reduce genetic variation after it evolves. Distinguishing process from pattern is less problematic if mating system divergence is recent and geographically simple. Dramatically reduced diversity is associated with the transition from outcrossing to selfing in the Pacific coastal endemic Abronia umbellata that includes large-flowered, self-incompatible populations (var. umbellata) south of San Francisco Bay and small-flowered, autogamous populations (var. breviflora) to the north. Compared to umbellata, synonymous nucleotide diversity across 10 single-copy nuclear genes was reduced by 94% within individual populations and 90% across the whole selfing breviflora lineage, which contained no unique polymorphisms. The geographic pattern of genetic variation is consistent with a single origin of selfing that occurred recently (7–28 kya). These results are best explained by a historical bottleneck, but the two most northerly umbellata populations also contained little variation and clustered with selfing populations, suggesting that substantial diversity loss preceded the origin of selfing. A bottleneck may have set the stage for the eventual evolution of selfing by purging genetic load that prevents the spread of selfing.</p>
Patterns and determinants of plant-derived lignin phenols in coastal wetlands: implications for organic C accumulation
<p>1. As a major plant-derived soil organic carbon (SOC) component, lignin phenols are unique biomarkers that reflect biogeochemical characteristics under different vegetation compositions and climatic zones in coastal wetlands. However, the latitudinal patterns of plant-derived lignin phenols to SOC and their link with the stability and controlling mechanisms remain poorly understood.</p> <p>2. A total of 156 soil samples from 39 sites along a 5000 km coastal transect, were taken to explore the effects of biological and environmental controls on the patterns of lignin phenols. Lignin phenols had contents ranging from 1.91 to 83.3 mg g−1 OC, and a positive correlation was detected in grass-dominated salt marsh, but a weakly negative correlation in mangrove. Positive correlations between SOC or lignin content and C/V or S/V (the cinnamyl- or syringyl-to-vanillyl) ratios were found, while overall negative correlations between SOC or lignin content and (Ad/Al)V or (Ad/Al)S (the acid-to-aldehyde of vanillyl or syringyl units) ratios were detected, respectively, which confirmed the validity of these lignin biomarker degradation parameters.</p> <p>3. Our findings revealed that plant C inputs and monomer ratios directly influenced the capacity of lignin phenols in soils. Lignin content and stabilization was mainly controlled by soil properties (i.e., pH, EC, sand/clay). Mean annual temperature (MAT) influenced the patterns of lignin phenols both directly by increasing decomposition and indirectly by changing the vegetation and soil biogeochemistry (i.e., microbial substrate availability).</p> <p>4. Coastal wetlands are characterized by high primary productivity and C burial rate, yet plant-derived lignin phenols are not as much as we thought compared to microbial residues C. Precise identification and quantification of the origin, decomposition, and determinants of lignin phenols help us understand their contribution to C sequestration and its response to climate and environmental changes.</p>
Population bottleneck associated with but likely preceded the recent evolution of self-fertilization in a coastal dune plant
Open the record for dataset details and reuse information.
Data from: Links between plant and fungal diversity in habitat fragments of coastal shrubland
Open the record for dataset details and reuse information.
Patterns and determinants of plant-derived lignin phenols in coastal wetlands: implications for organic C accumulation
Open the record for dataset details and reuse information.
Analyzing coastal fog effects on carbon and water fluxes in a California agricultural system using approaches in biometeorology, remote sensing, and plant physiology
Open the record for dataset details and reuse information.
Strategic planting and nutrient amendments to accelerate the revegetation of rapidly retreating coastal dunes
Open the record for dataset details and reuse information.
Data from: Ancestral area analyses reveal Pleistocene-influenced evolution in a clade of Coastal Plain endemic plants
Open the record for dataset details and reuse information.
Data from: Muskrat disturbances and their analogues reduce invasive plant dominance within a Great Lakes coastal wetland
Open the record for dataset details and reuse information.
Data from: The contribution of hybridization to range‐wide population genetic structure in a Pacific coastal dune plant
Open the record for dataset details and reuse information.
Santa Barbara Coastal site, station Arroyo Burro Reef, Santa Barbara Channel, study of plant biomass of Macrocystis pyrifera in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains plant biomass of Macrocystis pyrifera measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Santa Barbara Coastal site, station Arroyo Burro Reef, Santa Barbara Channel, study of plant cover of Taonia in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains plant cover of Taonia measurements in percent units and were aggregated to a yearly timescale.
Santa Barbara Coastal site, station Arroyo Burro Reef, Santa Barbara Channel, study of plant cover of Macrocystis pyrifera in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains plant cover of Macrocystis pyrifera measurements in percent units and were aggregated to a yearly timescale.
Santa Barbara Coastal site, station Arroyo Burro Reef, Santa Barbara Channel, study of plant cover of Pterygophora californica in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains plant cover of Pterygophora californica measurements in percent units and were aggregated to a yearly timescale.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.