Understanding the Impacts of Climate Change: an Analysis of Inundation, Marsh Elevation, and Plant Communities in a Tidal Freshwater Marsh View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-01

AUTHORS

P. Delgado, P. Hensel, A. Baldwin

ABSTRACT

Tidal freshwater marshes around the world face an uncertain future with increasing water levels, salinity intrusion, and temperature and precipitation shifts associated with climate change. Due to the characteristic abundance of both annual and perennial species in these habitats, even small increases in early growing season water levels may reduce seed germination, seedling establishment, and late-season plant cover, decreasing overall species abundance and productivity. This study looks at the distribution of tidal freshwater marsh plant species at Jug Bay, Patuxent River (Chesapeake Bay, USA), with respect to intertidal elevation, and the relationship between inundation early in the growing season and peak plant cover to better understand the potential impacts and marsh responses to increased inundation. Results show that 62% of marsh plant species are distributed at elevations around mean high water and are characterized by narrow elevation ranges in contrast with species growing at lower elevations. In addition, the frequency and duration of inundation and water depth to which the marsh was exposed to, prior to the growing season (March 15–May 15), negatively affected peak plant cover (measured in end-June to mid-July) after a threshold value was reached. For example, 36 and 55% decreases in peak plant cover were observed after duration of inundation threshold values of 25 and 36% was reached for annual and perennial species, respectively. Overall, this study suggests that plant communities of tidal freshwater marshes are sensitive to even small systematic changes in inundation, which may affect species abundance and richness as well as overall wetland resiliency to climate change. More... »

PAGES

25-35

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12237-017-0342-y

DOI

http://dx.doi.org/10.1007/s12237-017-0342-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092691782


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Jug Bay Wetlands Sanctuary, Wrighton Road, 20711, Lothian, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Delgado", 
        "givenName": "P.", 
        "id": "sg:person.014123004353.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014123004353.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Geodetic Survey", 
          "id": "https://www.grid.ac/institutes/grid.410486.f", 
          "name": [
            "National Oceanic and Atmospheric Administration, National Geodetic Survey, 1315 East-West Hwy, 20910, Silver Spring, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hensel", 
        "givenName": "P.", 
        "id": "sg:person.015624142365.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015624142365.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Maryland, College Park", 
          "id": "https://www.grid.ac/institutes/grid.164295.d", 
          "name": [
            "Department of Environmental Science and Technology, University of Maryland, 20742, College Park, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baldwin", 
        "givenName": "A.", 
        "id": "sg:person.015546632543.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015546632543.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/gcb.12378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001480966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12237-013-9626-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006454389", 
          "https://doi.org/10.1007/s12237-013-9626-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1009549117419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012477350", 
          "https://doi.org/10.1023/a:1009549117419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2013ef000135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013273918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0025-3227(98)00056-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013611559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/070219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020772842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3770(02)00022-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020826885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecss.2004.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021173036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13157-010-0073-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021784105", 
          "https://doi.org/10.1007/s13157-010-0073-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13157-010-0073-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021784105", 
          "https://doi.org/10.1007/s13157-010-0073-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/0012-9658(2002)083[2869:rocwtr]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022624635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2307/1352668", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024430873", 
          "https://doi.org/10.2307/1352668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.es.19.110188.001051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024646079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jgrc.20091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026520489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1009875226637", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027540079", 
          "https://doi.org/10.1023/a:1009875226637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12237-013-9587-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030094200", 
          "https://doi.org/10.1007/s12237-013-9587-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12237-012-9536-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030459158", 
          "https://doi.org/10.1007/s12237-012-9536-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008480116062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034230437", 
          "https://doi.org/10.1023/a:1008480116062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1672/0277-5212(2001)021[0519:hcavot]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042294954", 
          "https://doi.org/10.1672/0277-5212(2001)021[0519:hcavot]2.0.co;2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12237-011-9455-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045428050", 
          "https://doi.org/10.1007/s12237-011-9455-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0095011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046712452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3770(89)90074-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047784356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3770(89)90074-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047784356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12237-012-9568-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049775789", 
          "https://doi.org/10.1007/s12237-012-9568-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0033-5894(82)90070-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049865523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquabot.2003.10.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050824948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2112/si63-015.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052150659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1309038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069431569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1309751", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069432189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2443543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069936822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2446183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069939097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2997178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102614018"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-01", 
    "datePublishedReg": "2018-01-01", 
    "description": "Tidal freshwater marshes around the world face an uncertain future with increasing water levels, salinity intrusion, and temperature and precipitation shifts associated with climate change. Due to the characteristic abundance of both annual and perennial species in these habitats, even small increases in early growing season water levels may reduce seed germination, seedling establishment, and late-season plant cover, decreasing overall species abundance and productivity. This study looks at the distribution of tidal freshwater marsh plant species at Jug Bay, Patuxent River (Chesapeake Bay, USA), with respect to intertidal elevation, and the relationship between inundation early in the growing season and peak plant cover to better understand the potential impacts and marsh responses to increased inundation. Results show that 62% of marsh plant species are distributed at elevations around mean high water and are characterized by narrow elevation ranges in contrast with species growing at lower elevations. In addition, the frequency and duration of inundation and water depth to which the marsh was exposed to, prior to the growing season (March 15\u2013May 15), negatively affected peak plant cover (measured in end-June to mid-July) after a threshold value was reached. For example, 36 and 55% decreases in peak plant cover were observed after duration of inundation threshold values of 25 and 36% was reached for annual and perennial species, respectively. Overall, this study suggests that plant communities of tidal freshwater marshes are sensitive to even small systematic changes in inundation, which may affect species abundance and richness as well as overall wetland resiliency to climate change.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12237-017-0342-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1295073", 
        "issn": [
          "1559-2723", 
          "1559-2731"
        ], 
        "name": "Chesapeake Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "41"
      }
    ], 
    "name": "Understanding the Impacts of Climate Change: an Analysis of Inundation, Marsh Elevation, and Plant Communities in a Tidal Freshwater Marsh", 
    "pagination": "25-35", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ac5e8aabdba54fe92ed78ce138542ac5867c45d0bac3e27946c86c0151cefb62"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12237-017-0342-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092691782"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12237-017-0342-y", 
      "https://app.dimensions.ai/details/publication/pub.1092691782"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:40", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000484.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s12237-017-0342-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12237-017-0342-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12237-017-0342-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12237-017-0342-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12237-017-0342-y'


 

This table displays all metadata directly associated to this object as RDF triples.

181 TRIPLES      21 PREDICATES      57 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12237-017-0342-y schema:about anzsrc-for:06
2 anzsrc-for:0602
3 schema:author Ncce2ed07c192444e81abae027b468933
4 schema:citation sg:pub.10.1007/s12237-011-9455-x
5 sg:pub.10.1007/s12237-012-9536-5
6 sg:pub.10.1007/s12237-012-9568-x
7 sg:pub.10.1007/s12237-013-9587-2
8 sg:pub.10.1007/s12237-013-9626-z
9 sg:pub.10.1007/s13157-010-0073-3
10 sg:pub.10.1023/a:1008480116062
11 sg:pub.10.1023/a:1009549117419
12 sg:pub.10.1023/a:1009875226637
13 sg:pub.10.1672/0277-5212(2001)021[0519:hcavot]2.0.co;2
14 sg:pub.10.2307/1352668
15 https://doi.org/10.1002/2013ef000135
16 https://doi.org/10.1002/jgrc.20091
17 https://doi.org/10.1016/0033-5894(82)90070-9
18 https://doi.org/10.1016/0304-3770(89)90074-0
19 https://doi.org/10.1016/j.aquabot.2003.10.005
20 https://doi.org/10.1016/j.ecss.2004.08.010
21 https://doi.org/10.1016/s0025-3227(98)00056-5
22 https://doi.org/10.1016/s0304-3770(02)00022-0
23 https://doi.org/10.1111/gcb.12378
24 https://doi.org/10.1146/annurev.es.19.110188.001051
25 https://doi.org/10.1371/journal.pone.0095011
26 https://doi.org/10.1890/0012-9658(2002)083[2869:rocwtr]2.0.co;2
27 https://doi.org/10.1890/070219
28 https://doi.org/10.2112/si63-015.1
29 https://doi.org/10.2307/1309038
30 https://doi.org/10.2307/1309751
31 https://doi.org/10.2307/2443543
32 https://doi.org/10.2307/2446183
33 https://doi.org/10.2307/2997178
34 schema:datePublished 2018-01
35 schema:datePublishedReg 2018-01-01
36 schema:description Tidal freshwater marshes around the world face an uncertain future with increasing water levels, salinity intrusion, and temperature and precipitation shifts associated with climate change. Due to the characteristic abundance of both annual and perennial species in these habitats, even small increases in early growing season water levels may reduce seed germination, seedling establishment, and late-season plant cover, decreasing overall species abundance and productivity. This study looks at the distribution of tidal freshwater marsh plant species at Jug Bay, Patuxent River (Chesapeake Bay, USA), with respect to intertidal elevation, and the relationship between inundation early in the growing season and peak plant cover to better understand the potential impacts and marsh responses to increased inundation. Results show that 62% of marsh plant species are distributed at elevations around mean high water and are characterized by narrow elevation ranges in contrast with species growing at lower elevations. In addition, the frequency and duration of inundation and water depth to which the marsh was exposed to, prior to the growing season (March 15–May 15), negatively affected peak plant cover (measured in end-June to mid-July) after a threshold value was reached. For example, 36 and 55% decreases in peak plant cover were observed after duration of inundation threshold values of 25 and 36% was reached for annual and perennial species, respectively. Overall, this study suggests that plant communities of tidal freshwater marshes are sensitive to even small systematic changes in inundation, which may affect species abundance and richness as well as overall wetland resiliency to climate change.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree true
40 schema:isPartOf N0a3a0ca31f2445d29b7e1cbb2bd4d6f2
41 Nbad8ba4923e140658b414db1c06e32a8
42 sg:journal.1295073
43 schema:name Understanding the Impacts of Climate Change: an Analysis of Inundation, Marsh Elevation, and Plant Communities in a Tidal Freshwater Marsh
44 schema:pagination 25-35
45 schema:productId N21c9626735ac47d0a2023745f4dd46fe
46 N4cda506fa1834d6b9cbd4b6426e664af
47 Nac820e9edd5f483b887aeee03fbb4048
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092691782
49 https://doi.org/10.1007/s12237-017-0342-y
50 schema:sdDatePublished 2019-04-10T20:40
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher Nca7506ff263942b4bb56be33d242174a
53 schema:url http://link.springer.com/10.1007/s12237-017-0342-y
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N0a3a0ca31f2445d29b7e1cbb2bd4d6f2 schema:volumeNumber 41
58 rdf:type schema:PublicationVolume
59 N21c9626735ac47d0a2023745f4dd46fe schema:name readcube_id
60 schema:value ac5e8aabdba54fe92ed78ce138542ac5867c45d0bac3e27946c86c0151cefb62
61 rdf:type schema:PropertyValue
62 N3d9ae2e39ff04a85ac0f0d05ef4244c0 rdf:first sg:person.015546632543.84
63 rdf:rest rdf:nil
64 N4cda506fa1834d6b9cbd4b6426e664af schema:name doi
65 schema:value 10.1007/s12237-017-0342-y
66 rdf:type schema:PropertyValue
67 N8011e99cdd24433abb038a2b73769b6f schema:name Jug Bay Wetlands Sanctuary, Wrighton Road, 20711, Lothian, MD, USA
68 rdf:type schema:Organization
69 N9f3f6de5e77e4314a9d0ad71c3def0c5 rdf:first sg:person.015624142365.15
70 rdf:rest N3d9ae2e39ff04a85ac0f0d05ef4244c0
71 Nac820e9edd5f483b887aeee03fbb4048 schema:name dimensions_id
72 schema:value pub.1092691782
73 rdf:type schema:PropertyValue
74 Nbad8ba4923e140658b414db1c06e32a8 schema:issueNumber 1
75 rdf:type schema:PublicationIssue
76 Nca7506ff263942b4bb56be33d242174a schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 Ncce2ed07c192444e81abae027b468933 rdf:first sg:person.014123004353.41
79 rdf:rest N9f3f6de5e77e4314a9d0ad71c3def0c5
80 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
81 schema:name Biological Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
84 schema:name Ecology
85 rdf:type schema:DefinedTerm
86 sg:journal.1295073 schema:issn 1559-2723
87 1559-2731
88 schema:name Chesapeake Science
89 rdf:type schema:Periodical
90 sg:person.014123004353.41 schema:affiliation N8011e99cdd24433abb038a2b73769b6f
91 schema:familyName Delgado
92 schema:givenName P.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014123004353.41
94 rdf:type schema:Person
95 sg:person.015546632543.84 schema:affiliation https://www.grid.ac/institutes/grid.164295.d
96 schema:familyName Baldwin
97 schema:givenName A.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015546632543.84
99 rdf:type schema:Person
100 sg:person.015624142365.15 schema:affiliation https://www.grid.ac/institutes/grid.410486.f
101 schema:familyName Hensel
102 schema:givenName P.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015624142365.15
104 rdf:type schema:Person
105 sg:pub.10.1007/s12237-011-9455-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045428050
106 https://doi.org/10.1007/s12237-011-9455-x
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/s12237-012-9536-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030459158
109 https://doi.org/10.1007/s12237-012-9536-5
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/s12237-012-9568-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049775789
112 https://doi.org/10.1007/s12237-012-9568-x
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/s12237-013-9587-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030094200
115 https://doi.org/10.1007/s12237-013-9587-2
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s12237-013-9626-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1006454389
118 https://doi.org/10.1007/s12237-013-9626-z
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/s13157-010-0073-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021784105
121 https://doi.org/10.1007/s13157-010-0073-3
122 rdf:type schema:CreativeWork
123 sg:pub.10.1023/a:1008480116062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034230437
124 https://doi.org/10.1023/a:1008480116062
125 rdf:type schema:CreativeWork
126 sg:pub.10.1023/a:1009549117419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012477350
127 https://doi.org/10.1023/a:1009549117419
128 rdf:type schema:CreativeWork
129 sg:pub.10.1023/a:1009875226637 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027540079
130 https://doi.org/10.1023/a:1009875226637
131 rdf:type schema:CreativeWork
132 sg:pub.10.1672/0277-5212(2001)021[0519:hcavot]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042294954
133 https://doi.org/10.1672/0277-5212(2001)021[0519:hcavot]2.0.co;2
134 rdf:type schema:CreativeWork
135 sg:pub.10.2307/1352668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024430873
136 https://doi.org/10.2307/1352668
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1002/2013ef000135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013273918
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1002/jgrc.20091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026520489
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/0033-5894(82)90070-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049865523
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/0304-3770(89)90074-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047784356
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.aquabot.2003.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050824948
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.ecss.2004.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021173036
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0025-3227(98)00056-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013611559
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/s0304-3770(02)00022-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020826885
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1111/gcb.12378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001480966
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1146/annurev.es.19.110188.001051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024646079
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1371/journal.pone.0095011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046712452
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1890/0012-9658(2002)083[2869:rocwtr]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022624635
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1890/070219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020772842
163 rdf:type schema:CreativeWork
164 https://doi.org/10.2112/si63-015.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052150659
165 rdf:type schema:CreativeWork
166 https://doi.org/10.2307/1309038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069431569
167 rdf:type schema:CreativeWork
168 https://doi.org/10.2307/1309751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069432189
169 rdf:type schema:CreativeWork
170 https://doi.org/10.2307/2443543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069936822
171 rdf:type schema:CreativeWork
172 https://doi.org/10.2307/2446183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069939097
173 rdf:type schema:CreativeWork
174 https://doi.org/10.2307/2997178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102614018
175 rdf:type schema:CreativeWork
176 https://www.grid.ac/institutes/grid.164295.d schema:alternateName University of Maryland, College Park
177 schema:name Department of Environmental Science and Technology, University of Maryland, 20742, College Park, MD, USA
178 rdf:type schema:Organization
179 https://www.grid.ac/institutes/grid.410486.f schema:alternateName National Geodetic Survey
180 schema:name National Oceanic and Atmospheric Administration, National Geodetic Survey, 1315 East-West Hwy, 20910, Silver Spring, MD, USA
181 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...