Changes
On April 8, 2022 at 9:12:00 AM UTC, Administrator:
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Changed value of field
publication_state
toreserved
in LiDAR metrics predict suitable forest foraging areas of endangered Mouse- eared bats (Myotis myotis)
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36 | "date": "[{\"date\": \"2019-05-15\", \"date_type\": \"collected\", | 36 | "date": "[{\"date\": \"2019-05-15\", \"date_type\": \"collected\", | ||
37 | \"end_date\": \"2019-07-31\"}]", | 37 | \"end_date\": \"2019-07-31\"}]", | ||
38 | "doi": "10.16904/envidat.306", | 38 | "doi": "10.16904/envidat.306", | ||
39 | "funding": "[{\"grant_number\": \"16.0100.PJ / R423-1 858\", | 39 | "funding": "[{\"grant_number\": \"16.0100.PJ / R423-1 858\", | ||
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46 | "license_id": "wsl-data", | 46 | "license_id": "wsl-data", | ||
47 | "license_title": "WSL Data Policy", | 47 | "license_title": "WSL Data Policy", | ||
48 | "license_url": | 48 | "license_url": | ||
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50 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 50 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
51 | \"martin.obrist@wsl.ch\", \"given_name\": \"Martin K.\", | 51 | \"martin.obrist@wsl.ch\", \"given_name\": \"Martin K.\", | ||
52 | \"identifier\": \"0000-0001-6766-044X\", \"name\": \"Obrist\"}", | 52 | \"identifier\": \"0000-0001-6766-044X\", \"name\": \"Obrist\"}", | ||
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54 | "metadata_created": "2022-04-08T08:45:26.157941", | 54 | "metadata_created": "2022-04-08T08:45:26.157941", | ||
n | 55 | "metadata_modified": "2022-04-08T09:11:18.705403", | n | 55 | "metadata_modified": "2022-04-08T09:12:00.437200", |
56 | "name": "lidar_forest_myotis-myotis", | 56 | "name": "lidar_forest_myotis-myotis", | ||
57 | "notes": "Habitat shift caused by human impact on vegetation | 57 | "notes": "Habitat shift caused by human impact on vegetation | ||
58 | structure poses a great threat to species which are special- ized on | 58 | structure poses a great threat to species which are special- ized on | ||
59 | unique habitats. Single layered beech forests, the main foraging | 59 | unique habitats. Single layered beech forests, the main foraging | ||
60 | habitat of Greater Mouse-eared Bats (My- otis myotis), are threatened | 60 | habitat of Greater Mouse-eared Bats (My- otis myotis), are threatened | ||
61 | by recent changes in forest structure. After this species suffered | 61 | by recent changes in forest structure. After this species suffered | ||
62 | considerable popula- tion losses until the 1970s, their roosts in | 62 | considerable popula- tion losses until the 1970s, their roosts in | ||
63 | buildings are strictly protected. However, some populations are still | 63 | buildings are strictly protected. However, some populations are still | ||
64 | de- clining. Thus, the spatial identification of suitable foraging | 64 | de- clining. Thus, the spatial identification of suitable foraging | ||
65 | habitat would be essential to ensure conservation pol- icy. The aim of | 65 | habitat would be essential to ensure conservation pol- icy. The aim of | ||
66 | this study was (a) to verify the relevance of forest structural | 66 | this study was (a) to verify the relevance of forest structural | ||
67 | variables for the activity of M. myotis and (b) to evaluate the | 67 | variables for the activity of M. myotis and (b) to evaluate the | ||
68 | potential of LiDAR (Light Detection and Ranging) in predicting | 68 | potential of LiDAR (Light Detection and Ranging) in predicting | ||
69 | suitable foraging habitat of the species. We systematically sampled | 69 | suitable foraging habitat of the species. We systematically sampled | ||
70 | bat activity in forests close to 18 maternity roosts in Switzerland | 70 | bat activity in forests close to 18 maternity roosts in Switzerland | ||
71 | and applied a generalized linear mixed model (GLMM) to fit the | 71 | and applied a generalized linear mixed model (GLMM) to fit the | ||
72 | activity data to forest structure variables recorded in the field and | 72 | activity data to forest structure variables recorded in the field and | ||
73 | derived from LiDAR. We found that suitable forest foraging habitat is | 73 | derived from LiDAR. We found that suitable forest foraging habitat is | ||
74 | defined by single layered for- est, dense canopy, no shrub layer and a | 74 | defined by single layered for- est, dense canopy, no shrub layer and a | ||
75 | free flight space. Most importantly, this key foraging habitat can be | 75 | free flight space. Most importantly, this key foraging habitat can be | ||
76 | well predicted by airborne LiDAR data. This allows for the first time | 76 | well predicted by airborne LiDAR data. This allows for the first time | ||
77 | to create nationwide prediction maps of potential foraging habitats of | 77 | to create nationwide prediction maps of potential foraging habitats of | ||
78 | this species to inform conservation management. This method has a | 78 | this species to inform conservation management. This method has a | ||
79 | special significance for endangered species with large spatial use, | 79 | special significance for endangered species with large spatial use, | ||
80 | whose key resources are hard to identify and widely distributed across | 80 | whose key resources are hard to identify and widely distributed across | ||
81 | the landscape.", | 81 | the landscape.", | ||
82 | "num_resources": 1, | 82 | "num_resources": 1, | ||
83 | "num_tags": 5, | 83 | "num_tags": 5, | ||
84 | "organization": { | 84 | "organization": { | ||
85 | "approval_status": "approved", | 85 | "approval_status": "approved", | ||
86 | "created": "2018-05-18T09:12:30.577470", | 86 | "created": "2018-05-18T09:12:30.577470", | ||
87 | "description": "We study the relationship between threatened | 87 | "description": "We study the relationship between threatened | ||
88 | species and their habitat with the objective to develop evidence-based | 88 | species and their habitat with the objective to develop evidence-based | ||
89 | instruments for conservation. The viability of populations of habitat | 89 | instruments for conservation. The viability of populations of habitat | ||
90 | specialists is often limited due to restricted availability of | 90 | specialists is often limited due to restricted availability of | ||
91 | suitable habitat or discontinuous distribution. We focus on selected | 91 | suitable habitat or discontinuous distribution. We focus on selected | ||
92 | animal species of conservation concern (forest birds, bats, forest | 92 | animal species of conservation concern (forest birds, bats, forest | ||
93 | insects) and analyse species-habitat relationships at a scale ranging | 93 | insects) and analyse species-habitat relationships at a scale ranging | ||
94 | from single subpopulations to entire metapopulations. We strive | 94 | from single subpopulations to entire metapopulations. We strive | ||
95 | towards standardised recording of elusive species with novel | 95 | towards standardised recording of elusive species with novel | ||
96 | techniques, assessing environmental variables and combining these | 96 | techniques, assessing environmental variables and combining these | ||
97 | field data with data from remote sensing. We determine limiting | 97 | field data with data from remote sensing. We determine limiting | ||
98 | factors (habitat, climate, resources) and predict species occurrence | 98 | factors (habitat, climate, resources) and predict species occurrence | ||
99 | and habitat suitability with modelling techniques.\r\n\r\nThese models | 99 | and habitat suitability with modelling techniques.\r\n\r\nThese models | ||
100 | allow to predict species occurrence patterns and to delineate | 100 | allow to predict species occurrence patterns and to delineate | ||
101 | evidence-based priority areas for conservation. Our long-term | 101 | evidence-based priority areas for conservation. Our long-term | ||
102 | collaboration with federal and cantonal stakeholders of forest and | 102 | collaboration with federal and cantonal stakeholders of forest and | ||
103 | nature conservation enables the combination of research results with | 103 | nature conservation enables the combination of research results with | ||
104 | conservation requirements (e.g. species action plans, forest | 104 | conservation requirements (e.g. species action plans, forest | ||
105 | biodiversity expert panel, scientific counsel for bat protection). | 105 | biodiversity expert panel, scientific counsel for bat protection). | ||
106 | While we investigate complete distribution ranges in bats, we focus on | 106 | While we investigate complete distribution ranges in bats, we focus on | ||
107 | forest habitats in birds and insects given the large extent and high | 107 | forest habitats in birds and insects given the large extent and high | ||
108 | importance of forests for biodiversity conservation in Switzerland.", | 108 | importance of forests for biodiversity conservation in Switzerland.", | ||
109 | "id": "32672ec5-c180-471e-92f7-ef58e00eb1fb", | 109 | "id": "32672ec5-c180-471e-92f7-ef58e00eb1fb", | ||
110 | "image_url": "2018-07-10-090115.162284LogoWSL.svg", | 110 | "image_url": "2018-07-10-090115.162284LogoWSL.svg", | ||
111 | "is_organization": true, | 111 | "is_organization": true, | ||
112 | "name": "conservation-biology", | 112 | "name": "conservation-biology", | ||
113 | "state": "active", | 113 | "state": "active", | ||
114 | "title": "Conservation Biology", | 114 | "title": "Conservation Biology", | ||
115 | "type": "organization" | 115 | "type": "organization" | ||
116 | }, | 116 | }, | ||
117 | "owner_org": "32672ec5-c180-471e-92f7-ef58e00eb1fb", | 117 | "owner_org": "32672ec5-c180-471e-92f7-ef58e00eb1fb", | ||
118 | "private": false, | 118 | "private": false, | ||
119 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 119 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
120 | \"EnviDat\"}", | 120 | \"EnviDat\"}", | ||
t | 121 | "publication_state": "pub_pending", | t | 121 | "publication_state": "reserved", |
122 | "related_datasets": "activity data, environment data, LiDAR data | 122 | "related_datasets": "activity data, environment data, LiDAR data | ||
123 | shall be uploaded asap", | 123 | shall be uploaded asap", | ||
124 | "related_publications": "Katja Rauchenstein, Klaus Ecker, Elias | 124 | "related_publications": "Katja Rauchenstein, Klaus Ecker, Elias | ||
125 | Bader, Christian Ginzler, Christoph D\u00fcggelin, Fabio Bontadina, | 125 | Bader, Christian Ginzler, Christoph D\u00fcggelin, Fabio Bontadina, | ||
126 | Martin K. Obrist (2022) LiDAR metrics predict suitable forest foraging | 126 | Martin K. Obrist (2022) LiDAR metrics predict suitable forest foraging | ||
127 | areas of endangered Mouse- eared bats (Myotis myotis). Forest Ecology | 127 | areas of endangered Mouse- eared bats (Myotis myotis). Forest Ecology | ||
128 | and Management. \r\nhttps://doi.org/10.1016/j.foreco.2022.120210", | 128 | and Management. \r\nhttps://doi.org/10.1016/j.foreco.2022.120210", | ||
129 | "relationships_as_object": [], | 129 | "relationships_as_object": [], | ||
130 | "relationships_as_subject": [], | 130 | "relationships_as_subject": [], | ||
131 | "resource_type": "dataset", | 131 | "resource_type": "dataset", | ||
132 | "resource_type_general": "dataset", | 132 | "resource_type_general": "dataset", | ||
133 | "resources": [ | 133 | "resources": [ | ||
134 | { | 134 | { | ||
135 | "cache_last_updated": null, | 135 | "cache_last_updated": null, | ||
136 | "cache_url": null, | 136 | "cache_url": null, | ||
137 | "created": "2022-04-08T08:45:45.713987", | 137 | "created": "2022-04-08T08:45:45.713987", | ||
138 | "description": "", | 138 | "description": "", | ||
139 | "doi": "", | 139 | "doi": "", | ||
140 | "format": "CSV", | 140 | "format": "CSV", | ||
141 | "hash": "", | 141 | "hash": "", | ||
142 | "id": "424aa723-f136-42f7-aa89-951082ca7cb8", | 142 | "id": "424aa723-f136-42f7-aa89-951082ca7cb8", | ||
143 | "last_modified": null, | 143 | "last_modified": null, | ||
144 | "metadata_modified": "2022-04-08T09:11:18.487479", | 144 | "metadata_modified": "2022-04-08T09:11:18.487479", | ||
145 | "mimetype": null, | 145 | "mimetype": null, | ||
146 | "mimetype_inner": null, | 146 | "mimetype_inner": null, | ||
147 | "name": "Data to be uploaded soon", | 147 | "name": "Data to be uploaded soon", | ||
148 | "package_id": "b64e697c-bef8-455f-a2ca-96e269fdfd1c", | 148 | "package_id": "b64e697c-bef8-455f-a2ca-96e269fdfd1c", | ||
149 | "position": 0, | 149 | "position": 0, | ||
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155 | \"shared_secret\": \"\"}", | 155 | \"shared_secret\": \"\"}", | ||
156 | "size": null, | 156 | "size": null, | ||
157 | "state": "active", | 157 | "state": "active", | ||
158 | "url": "", | 158 | "url": "", | ||
159 | "url_type": null | 159 | "url_type": null | ||
160 | } | 160 | } | ||
161 | ], | 161 | ], | ||
162 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | 162 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | ||
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164 | 45.81802],[5.95587, 45.81802]]]}", | 164 | 45.81802],[5.95587, 45.81802]]]}", | ||
165 | "spatial_info": "Switzerland", | 165 | "spatial_info": "Switzerland", | ||
166 | "state": "active", | 166 | "state": "active", | ||
167 | "subtitle": "", | 167 | "subtitle": "", | ||
168 | "tags": [ | 168 | "tags": [ | ||
169 | { | 169 | { | ||
170 | "display_name": "CHIROPTERA", | 170 | "display_name": "CHIROPTERA", | ||
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184 | "display_name": "FOREST MANAGEMENT", | 184 | "display_name": "FOREST MANAGEMENT", | ||
185 | "id": "d4404f05-ef28-4de6-b269-17713089be84", | 185 | "id": "d4404f05-ef28-4de6-b269-17713089be84", | ||
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188 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
189 | }, | 189 | }, | ||
190 | { | 190 | { | ||
191 | "display_name": "HABITAT MODELLING", | 191 | "display_name": "HABITAT MODELLING", | ||
192 | "id": "2a24ea65-92cc-405c-88cd-29497bb481f6", | 192 | "id": "2a24ea65-92cc-405c-88cd-29497bb481f6", | ||
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195 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
196 | }, | 196 | }, | ||
197 | { | 197 | { | ||
198 | "display_name": "VEGETATION STRUCTURE", | 198 | "display_name": "VEGETATION STRUCTURE", | ||
199 | "id": "4c0a535d-bafb-4744-a904-0bd0f79c9268", | 199 | "id": "4c0a535d-bafb-4744-a904-0bd0f79c9268", | ||
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202 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
203 | } | 203 | } | ||
204 | ], | 204 | ], | ||
205 | "title": "LiDAR metrics predict suitable forest foraging areas of | 205 | "title": "LiDAR metrics predict suitable forest foraging areas of | ||
206 | endangered Mouse- eared bats (Myotis myotis)", | 206 | endangered Mouse- eared bats (Myotis myotis)", | ||
207 | "type": "dataset", | 207 | "type": "dataset", | ||
208 | "url": null, | 208 | "url": null, | ||
209 | "version": "1.0" | 209 | "version": "1.0" | ||
210 | } | 210 | } |