Climatic warming and the future of bison as grazers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-11-16

AUTHORS

Joseph M. Craine, E. Gene Towne, Mary Miller, Noah Fierer

ABSTRACT

Climatic warming is likely to exacerbate nutritional stress and reduce weight gain in large mammalian herbivores by reducing plant nutritional quality. Yet accurate predictions of the effects of climatic warming on herbivores are limited by a poor understanding of how herbivore diet varies along climate gradients. We utilized DNA metabarcoding to reconstruct seasonal variation in the diet of North American bison (Bison bison) in two grasslands that differ in mean annual temperature by 6 °C. Here, we show that associated with greater nutritional stress in warmer climates, bison consistently consumed fewer graminoids and more shrubs and forbs, i.e. eudicots. Bison in the warmer grassland consumed a lower proportion of C3 grass, but not a greater proportion of C4 grass. Instead, bison diet in the warmer grassland had a greater proportion of N2-fixing eudicots, regularly comprising >60% of their protein intake in spring and fall. Although bison have been considered strict grazers, as climatic warming reduces grass protein concentrations, bison may have to attempt to compensate by grazing less and browsing more. Promotion of high-protein, palatable eudicots or increasing the protein concentrations of grasses will be critical to minimizing warming-imposed nutritional stress for bison and perhaps other large mammalian herbivores. More... »

PAGES

16738

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep16738

DOI

http://dx.doi.org/10.1038/srep16738

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013139220

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26567987


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bison", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Climate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diet", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ecosystem", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feces", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Grassland", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Poaceae", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seasons", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Jonah Ventures, Manhattan KS 66502, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Jonah Ventures, Manhattan KS 66502, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Craine", 
        "givenName": "Joseph M.", 
        "id": "sg:person.0642610617.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642610617.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kansas State University, Manhattan KS 66502, USA", 
          "id": "http://www.grid.ac/institutes/grid.36567.31", 
          "name": [
            "Kansas State University, Manhattan KS 66502, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Towne", 
        "givenName": "E. Gene", 
        "id": "sg:person.0625017577.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0625017577.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Nature Conservancy, Leola, SD 57456, USA", 
          "id": "http://www.grid.ac/institutes/grid.422375.5", 
          "name": [
            "The Nature Conservancy, Leola, SD 57456, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miller", 
        "givenName": "Mary", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder, CO 80309.", 
          "id": "http://www.grid.ac/institutes/grid.464551.7", 
          "name": [
            "Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA", 
            "Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder, CO 80309."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fierer", 
        "givenName": "Noah", 
        "id": "sg:person.01061615031.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061615031.38"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nclimate2081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052337737", 
          "https://doi.org/10.1038/nclimate2081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.2604", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027743851", 
          "https://doi.org/10.1038/nmeth.2604"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-11-16", 
    "datePublishedReg": "2015-11-16", 
    "description": "Climatic warming is likely to exacerbate nutritional stress and reduce weight gain in large mammalian herbivores by reducing plant nutritional quality. Yet accurate predictions of the effects of climatic warming on herbivores are limited by a poor understanding of how herbivore diet varies along climate gradients. We utilized DNA metabarcoding to reconstruct seasonal variation in the diet of North American bison (Bison bison) in two grasslands that differ in mean annual temperature by 6\u2009\u00b0C. Here, we show that associated with greater nutritional stress in warmer climates, bison consistently consumed fewer graminoids and more shrubs and forbs, i.e. eudicots. Bison in the warmer grassland consumed a lower proportion of C3 grass, but not a greater proportion of C4 grass. Instead, bison diet in the warmer grassland had a greater proportion of N2-fixing eudicots, regularly comprising >60% of their protein intake in spring and fall. Although bison have been considered strict grazers, as climatic warming reduces grass protein concentrations, bison may have to attempt to compensate by grazing less and browsing more. Promotion of high-protein, palatable eudicots or increasing the protein concentrations of grasses will be critical to minimizing warming-imposed nutritional stress for bison and perhaps other large mammalian herbivores. ", 
    "genre": "article", 
    "id": "sg:pub.10.1038/srep16738", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "keywords": [
      "large mammalian herbivores", 
      "nutritional stress", 
      "mammalian herbivores", 
      "climatic warming", 
      "plant nutritional quality", 
      "warm grasslands", 
      "DNA metabarcoding", 
      "C4 grasses", 
      "C3 grasses", 
      "more shrubs", 
      "herbivores", 
      "bison diet", 
      "North American bison", 
      "mean annual temperature", 
      "greater nutritional stress", 
      "climate gradient", 
      "strict grazers", 
      "eudicots", 
      "protein concentration", 
      "grazers", 
      "diet varies", 
      "American bison", 
      "grasslands", 
      "grass", 
      "nutritional quality", 
      "bison", 
      "annual temperature", 
      "warmer climate", 
      "metabarcoding", 
      "graminoids", 
      "forbs", 
      "seasonal variation", 
      "shrubs", 
      "warming", 
      "greater proportion", 
      "stress", 
      "poor understanding", 
      "lower proportion", 
      "diet", 
      "spring", 
      "proportion", 
      "climate", 
      "variation", 
      "understanding", 
      "gradient", 
      "concentration", 
      "varies", 
      "effect", 
      "promotion", 
      "accurate prediction", 
      "prediction", 
      "future", 
      "gain", 
      "protein intake", 
      "weight gain", 
      "temperature", 
      "fall", 
      "quality", 
      "intake", 
      "herbivore diet varies", 
      "N2-fixing eudicots", 
      "grass protein concentrations", 
      "palatable eudicots", 
      "warming-imposed nutritional stress", 
      "future of bison"
    ], 
    "name": "Climatic warming and the future of bison as grazers", 
    "pagination": "16738", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013139220"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep16738"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26567987"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep16738", 
      "https://app.dimensions.ai/details/publication/pub.1013139220"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_661.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/srep16738"
  }
]
 

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.10.1038/srep16738'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep16738'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep16738'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep16738'


 

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

200 TRIPLES      22 PREDICATES      102 URIs      92 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep16738 schema:about N095840afeb214923a0ce3a96cf98c914
2 N353df670c3e34b4cbb81400b8b4a2d1a
3 N3be70b61bd504ae7a6826a9ef5c58501
4 N3cbb2157549c42f8bfac8ad4e065a783
5 N5579c20c65074b9ea37213b9983adfac
6 N92e89547f36f4d98ae38a98f237633c6
7 N98b3e1f5f378470a9938cb83d177147e
8 Nb7454c4edd8541859328e2836c823f38
9 Nf63186a95c204c08bbebc2daf8583b0c
10 anzsrc-for:06
11 anzsrc-for:0602
12 schema:author N0bbe3acb6fa94d119cb3660793d7f647
13 schema:citation sg:pub.10.1038/nclimate2081
14 sg:pub.10.1038/nmeth.2604
15 schema:datePublished 2015-11-16
16 schema:datePublishedReg 2015-11-16
17 schema:description Climatic warming is likely to exacerbate nutritional stress and reduce weight gain in large mammalian herbivores by reducing plant nutritional quality. Yet accurate predictions of the effects of climatic warming on herbivores are limited by a poor understanding of how herbivore diet varies along climate gradients. We utilized DNA metabarcoding to reconstruct seasonal variation in the diet of North American bison (Bison bison) in two grasslands that differ in mean annual temperature by 6 °C. Here, we show that associated with greater nutritional stress in warmer climates, bison consistently consumed fewer graminoids and more shrubs and forbs, i.e. eudicots. Bison in the warmer grassland consumed a lower proportion of C3 grass, but not a greater proportion of C4 grass. Instead, bison diet in the warmer grassland had a greater proportion of N2-fixing eudicots, regularly comprising >60% of their protein intake in spring and fall. Although bison have been considered strict grazers, as climatic warming reduces grass protein concentrations, bison may have to attempt to compensate by grazing less and browsing more. Promotion of high-protein, palatable eudicots or increasing the protein concentrations of grasses will be critical to minimizing warming-imposed nutritional stress for bison and perhaps other large mammalian herbivores.
18 schema:genre article
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf N3bcf245456e746a5af4d75cefd72b1bc
22 N5e6c59fb416e4f0294815a85e71ee276
23 sg:journal.1045337
24 schema:keywords American bison
25 C3 grasses
26 C4 grasses
27 DNA metabarcoding
28 N2-fixing eudicots
29 North American bison
30 accurate prediction
31 annual temperature
32 bison
33 bison diet
34 climate
35 climate gradient
36 climatic warming
37 concentration
38 diet
39 diet varies
40 effect
41 eudicots
42 fall
43 forbs
44 future
45 future of bison
46 gain
47 gradient
48 graminoids
49 grass
50 grass protein concentrations
51 grasslands
52 grazers
53 greater nutritional stress
54 greater proportion
55 herbivore diet varies
56 herbivores
57 intake
58 large mammalian herbivores
59 lower proportion
60 mammalian herbivores
61 mean annual temperature
62 metabarcoding
63 more shrubs
64 nutritional quality
65 nutritional stress
66 palatable eudicots
67 plant nutritional quality
68 poor understanding
69 prediction
70 promotion
71 proportion
72 protein concentration
73 protein intake
74 quality
75 seasonal variation
76 shrubs
77 spring
78 stress
79 strict grazers
80 temperature
81 understanding
82 variation
83 varies
84 warm grasslands
85 warmer climate
86 warming
87 warming-imposed nutritional stress
88 weight gain
89 schema:name Climatic warming and the future of bison as grazers
90 schema:pagination 16738
91 schema:productId N4a08cb4b8897418f968ab2dfa62cde70
92 N999f071a07aa41fab4cb7500b67643af
93 Nf77149c7364743ecbe0683c6999ebcbc
94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013139220
95 https://doi.org/10.1038/srep16738
96 schema:sdDatePublished 2021-11-01T18:24
97 schema:sdLicense https://scigraph.springernature.com/explorer/license/
98 schema:sdPublisher N4d7485119eb54e258865500aa14d82a5
99 schema:url https://doi.org/10.1038/srep16738
100 sgo:license sg:explorer/license/
101 sgo:sdDataset articles
102 rdf:type schema:ScholarlyArticle
103 N095840afeb214923a0ce3a96cf98c914 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Animals
105 rdf:type schema:DefinedTerm
106 N0bbe3acb6fa94d119cb3660793d7f647 rdf:first sg:person.0642610617.99
107 rdf:rest N0ff24130dec64b95ba75bb581e7eb811
108 N0ff24130dec64b95ba75bb581e7eb811 rdf:first sg:person.0625017577.44
109 rdf:rest N60aaebda184e4dd79b0a7475c918e826
110 N113999ad4b534356a284ee217cddf8eb schema:affiliation grid-institutes:grid.422375.5
111 schema:familyName Miller
112 schema:givenName Mary
113 rdf:type schema:Person
114 N353df670c3e34b4cbb81400b8b4a2d1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Climate
116 rdf:type schema:DefinedTerm
117 N3bcf245456e746a5af4d75cefd72b1bc schema:issueNumber 1
118 rdf:type schema:PublicationIssue
119 N3be70b61bd504ae7a6826a9ef5c58501 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Diet
121 rdf:type schema:DefinedTerm
122 N3cbb2157549c42f8bfac8ad4e065a783 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Grassland
124 rdf:type schema:DefinedTerm
125 N4a08cb4b8897418f968ab2dfa62cde70 schema:name pubmed_id
126 schema:value 26567987
127 rdf:type schema:PropertyValue
128 N4d7485119eb54e258865500aa14d82a5 schema:name Springer Nature - SN SciGraph project
129 rdf:type schema:Organization
130 N5579c20c65074b9ea37213b9983adfac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Bison
132 rdf:type schema:DefinedTerm
133 N59d4b9e96756456989916c63ba62d5e8 rdf:first sg:person.01061615031.38
134 rdf:rest rdf:nil
135 N5e6c59fb416e4f0294815a85e71ee276 schema:volumeNumber 5
136 rdf:type schema:PublicationVolume
137 N60aaebda184e4dd79b0a7475c918e826 rdf:first N113999ad4b534356a284ee217cddf8eb
138 rdf:rest N59d4b9e96756456989916c63ba62d5e8
139 N92e89547f36f4d98ae38a98f237633c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Poaceae
141 rdf:type schema:DefinedTerm
142 N98b3e1f5f378470a9938cb83d177147e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Ecosystem
144 rdf:type schema:DefinedTerm
145 N999f071a07aa41fab4cb7500b67643af schema:name doi
146 schema:value 10.1038/srep16738
147 rdf:type schema:PropertyValue
148 Nb7454c4edd8541859328e2836c823f38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Feces
150 rdf:type schema:DefinedTerm
151 Nf63186a95c204c08bbebc2daf8583b0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Seasons
153 rdf:type schema:DefinedTerm
154 Nf77149c7364743ecbe0683c6999ebcbc schema:name dimensions_id
155 schema:value pub.1013139220
156 rdf:type schema:PropertyValue
157 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
158 schema:name Biological Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
161 schema:name Ecology
162 rdf:type schema:DefinedTerm
163 sg:journal.1045337 schema:issn 2045-2322
164 schema:name Scientific Reports
165 schema:publisher Springer Nature
166 rdf:type schema:Periodical
167 sg:person.01061615031.38 schema:affiliation grid-institutes:grid.464551.7
168 schema:familyName Fierer
169 schema:givenName Noah
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061615031.38
171 rdf:type schema:Person
172 sg:person.0625017577.44 schema:affiliation grid-institutes:grid.36567.31
173 schema:familyName Towne
174 schema:givenName E. Gene
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0625017577.44
176 rdf:type schema:Person
177 sg:person.0642610617.99 schema:affiliation grid-institutes:None
178 schema:familyName Craine
179 schema:givenName Joseph M.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642610617.99
181 rdf:type schema:Person
182 sg:pub.10.1038/nclimate2081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052337737
183 https://doi.org/10.1038/nclimate2081
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/nmeth.2604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027743851
186 https://doi.org/10.1038/nmeth.2604
187 rdf:type schema:CreativeWork
188 grid-institutes:None schema:alternateName Jonah Ventures, Manhattan KS 66502, USA
189 schema:name Jonah Ventures, Manhattan KS 66502, USA
190 rdf:type schema:Organization
191 grid-institutes:grid.36567.31 schema:alternateName Kansas State University, Manhattan KS 66502, USA
192 schema:name Kansas State University, Manhattan KS 66502, USA
193 rdf:type schema:Organization
194 grid-institutes:grid.422375.5 schema:alternateName The Nature Conservancy, Leola, SD 57456, USA
195 schema:name The Nature Conservancy, Leola, SD 57456, USA
196 rdf:type schema:Organization
197 grid-institutes:grid.464551.7 schema:alternateName Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder, CO 80309.
198 schema:name Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder, CO 80309.
199 Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA
200 rdf:type schema:Organization
 




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


...