Replication Data for: Are large-scale differences in temperature and reindeer management regime affecting the quality of reindeer’s summer forage? Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.18710/xy2wyr
The dataset is an aggregation of data from different studies aimed at developing near-infrared reflectance spectroscopy (NIRS) calibrations of plant parts to analyze leaf nutrients and defense compounds content. This study was designed to investigate whether the chemical composition of plants was varying with warmer temperatures and different grazing intensity from reindeer throughout the summer season. Plants were collected in several areas of Troms and Finnmark (Norway) over a large spatial scale: 140 kilometers North to South and 285 kilometers West to East. We selected 10 sites in summer pastures and 5 migratory pastures, spanning A 2,5°C gradient in mean July temperatures. Plant data were collected during two consecutive summers (2011-2012) both in early July and late August to capture seasonal variation in chemical composition. Plants were also sampled in grassland vegetation and dwarf shrub heath vegetation to check for variation in the chemical composition of plants between the 2 vegetation types.
Related Topics
- Type
- dataset
- Landing Page
- https://doi.org/10.18710/xy2wyr
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7105984686
Raw OpenAlex JSON
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https://openalex.org/W7105984686Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18710/xy2wyrDigital Object Identifier
- Title
-
Replication Data for: Are large-scale differences in temperature and reindeer management regime affecting the quality of reindeer’s summer forage?Work title
- Type
-
datasetOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-09-22Full publication date if available
- Authors
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Fanny Berthelot, Audun Stien, nen Eeva M., Eeva, Tveraa Torkild, en Kari Anne, Kari, Bohner HannaList of authors in order
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https://doi.org/10.18710/xy2wyrPublisher landing page
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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https://doi.org/10.18710/xy2wyrDirect OA link when available
- Concepts
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Vegetation (pathology), Shrub, Grazing, Grassland, Seasonality, Environmental science, Ecology, Plant cover, Rangeland, Physical geography, Nutrient, Geography, Plant community, Cattle grazing, Aerial survey, Forestry, Herbaceous plant, Ecological succession, Chemical composition, Agronomy, Vegetation types, Forage, Spatial variability, Vegetation cover, BiodiversityTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.We | 83 |
| abstract_inverted_index.an | 3 |
| abstract_inverted_index.at | 11 |
| abstract_inverted_index.in | 59, 87, 98, 112, 122, 129, 141 |
| abstract_inverted_index.is | 2 |
| abstract_inverted_index.of | 5, 18, 39, 62, 145 |
| abstract_inverted_index.to | 21, 33, 75, 81, 118, 137 |
| abstract_inverted_index.140 | 72 |
| abstract_inverted_index.285 | 78 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 25, 46, 64, 77, 90, 115, 132 |
| abstract_inverted_index.for | 139 |
| abstract_inverted_index.the | 36, 53, 142, 148 |
| abstract_inverted_index.two | 107 |
| abstract_inverted_index.was | 31, 41 |
| abstract_inverted_index.July | 100, 114 |
| abstract_inverted_index.This | 29 |
| abstract_inverted_index.West | 80 |
| abstract_inverted_index.also | 127 |
| abstract_inverted_index.both | 111 |
| abstract_inverted_index.data | 6, 103 |
| abstract_inverted_index.from | 7, 50 |
| abstract_inverted_index.late | 116 |
| abstract_inverted_index.leaf | 23 |
| abstract_inverted_index.mean | 99 |
| abstract_inverted_index.over | 67 |
| abstract_inverted_index.were | 57, 104, 126 |
| abstract_inverted_index.with | 43 |
| abstract_inverted_index.East. | 82 |
| abstract_inverted_index.North | 74 |
| abstract_inverted_index.Plant | 102 |
| abstract_inverted_index.South | 76 |
| abstract_inverted_index.Troms | 63 |
| abstract_inverted_index.aimed | 10 |
| abstract_inverted_index.areas | 61 |
| abstract_inverted_index.check | 138 |
| abstract_inverted_index.dwarf | 133 |
| abstract_inverted_index.early | 113 |
| abstract_inverted_index.heath | 135 |
| abstract_inverted_index.large | 69 |
| abstract_inverted_index.parts | 20 |
| abstract_inverted_index.plant | 19 |
| abstract_inverted_index.shrub | 134 |
| abstract_inverted_index.sites | 86 |
| abstract_inverted_index.study | 30 |
| abstract_inverted_index.(NIRS) | 16 |
| abstract_inverted_index.2,5°C | 96 |
| abstract_inverted_index.August | 117 |
| abstract_inverted_index.Plants | 56, 125 |
| abstract_inverted_index.during | 106 |
| abstract_inverted_index.plants | 40, 146 |
| abstract_inverted_index.scale: | 71 |
| abstract_inverted_index.summer | 54, 88 |
| abstract_inverted_index.types. | 151 |
| abstract_inverted_index.warmer | 44 |
| abstract_inverted_index.analyze | 22 |
| abstract_inverted_index.between | 147 |
| abstract_inverted_index.capture | 119 |
| abstract_inverted_index.dataset | 1 |
| abstract_inverted_index.defense | 26 |
| abstract_inverted_index.grazing | 48 |
| abstract_inverted_index.sampled | 128 |
| abstract_inverted_index.season. | 55 |
| abstract_inverted_index.several | 60 |
| abstract_inverted_index.spatial | 70 |
| abstract_inverted_index.studies | 9 |
| abstract_inverted_index.summers | 109 |
| abstract_inverted_index.varying | 42 |
| abstract_inverted_index.whether | 35 |
| abstract_inverted_index.(Norway) | 66 |
| abstract_inverted_index.Finnmark | 65 |
| abstract_inverted_index.chemical | 37, 123, 143 |
| abstract_inverted_index.content. | 28 |
| abstract_inverted_index.designed | 32 |
| abstract_inverted_index.gradient | 97 |
| abstract_inverted_index.pastures | 89 |
| abstract_inverted_index.reindeer | 51 |
| abstract_inverted_index.seasonal | 120 |
| abstract_inverted_index.selected | 84 |
| abstract_inverted_index.spanning | 94 |
| abstract_inverted_index.collected | 58, 105 |
| abstract_inverted_index.compounds | 27 |
| abstract_inverted_index.different | 8, 47 |
| abstract_inverted_index.grassland | 130 |
| abstract_inverted_index.intensity | 49 |
| abstract_inverted_index.migratory | 92 |
| abstract_inverted_index.nutrients | 24 |
| abstract_inverted_index.pastures, | 93 |
| abstract_inverted_index.variation | 121, 140 |
| abstract_inverted_index.developing | 12 |
| abstract_inverted_index.kilometers | 73, 79 |
| abstract_inverted_index.throughout | 52 |
| abstract_inverted_index.vegetation | 131, 136, 150 |
| abstract_inverted_index.(2011-2012) | 110 |
| abstract_inverted_index.aggregation | 4 |
| abstract_inverted_index.composition | 38, 144 |
| abstract_inverted_index.consecutive | 108 |
| abstract_inverted_index.investigate | 34 |
| abstract_inverted_index.reflectance | 14 |
| abstract_inverted_index.calibrations | 17 |
| abstract_inverted_index.composition. | 124 |
| abstract_inverted_index.spectroscopy | 15 |
| abstract_inverted_index.temperatures | 45 |
| abstract_inverted_index.near-infrared | 13 |
| abstract_inverted_index.temperatures. | 101 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |