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\"joan.casanelles@wsl.ch\", \"given_name\": \"Joan\", \"identifier\": 
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\"joan.casanelles@wsl.ch\", \"given_name\": \"Joan\", \"identifier\": 
            
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\"0000-0003-1924-9298\", \"name\": \"Casanelles Abella\"}, 
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            
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\"publication\", \"supervision\"], \"email\": 
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\"marco.moretti@wsl.ch\", \"given_name\": \"Marco\", \"identifier\": 
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\"marco.moretti@wsl.ch\", \"given_name\": \"Marco\", \"identifier\": 
            
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\"0000-0002-5845-3198\", \"name\": \"Moretti\"}]",
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  "doi": "10.16904/envidat.239",
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  "license_title": "Creative Commons Zero - No Rights Reserved (CC0 
            
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1.0)",
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
            
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\"marco.moretti@wsl.ch\", \"given_name\": \"Marco\", \"identifier\": 
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  "metadata_modified": "2024-03-26T15:22:21.381680",
            
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  "name": 
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  "name": 
            
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ng-the-sustainability-of-urban-beekeeping-evidence-from-swiss-cities",
34
ng-the-sustainability-of-urban-beekeeping-evidence-from-swiss-cities",
            
35
  "notes": "Data on: (1) (Dataset 1) spatial distribution of urban 
35
  "notes": "Data on: (1) (Dataset 1) spatial distribution of urban 
            
36
beekeeping (number of hives and number of beekeeping locations)  in 14 
36
beekeeping (number of hives and number of beekeeping locations)  in 14 
            
37
Swiss cities (Geneva, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, 
37
Swiss cities (Geneva, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, 
            
38
Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) for 
38
Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) for 
            
39
the period 2012-2018; (2)  (Dataset 2) aggregated data to model the 
39
the period 2012-2018; (2)  (Dataset 2) aggregated data to model the 
            
40
sustainability of urban beekeeping.",
40
sustainability of urban beekeeping.",
            
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  "num_resources": 4,
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  "num_resources": 4,
            
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  "num_tags": 6,
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  "num_tags": 6,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2018-05-18T09:12:30.577470",
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    "created": "2018-05-18T09:12:30.577470",
            
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    "description": "We study the relationship between threatened 
46
    "description": "We study the relationship between threatened 
            
47
species and their habitat with the objective to develop evidence-based 
47
species and their habitat with the objective to develop evidence-based 
            
48
instruments for conservation. The viability of populations of habitat 
48
instruments for conservation. The viability of populations of habitat 
            
49
specialists is often limited due to restricted availability of 
49
specialists is often limited due to restricted availability of 
            
50
suitable habitat or discontinuous distribution. We focus on selected 
50
suitable habitat or discontinuous distribution. We focus on selected 
            
51
animal species of conservation concern (forest birds, bats, forest 
51
animal species of conservation concern (forest birds, bats, forest 
            
52
insects) and analyse species-habitat relationships at a scale ranging 
52
insects) and analyse species-habitat relationships at a scale ranging 
            
53
from single subpopulations to entire metapopulations. We strive 
53
from single subpopulations to entire metapopulations. We strive 
            
54
towards standardised recording of elusive species with novel 
54
towards standardised recording of elusive species with novel 
            
55
techniques, assessing environmental variables and combining these 
55
techniques, assessing environmental variables and combining these 
            
56
field data with data from remote sensing. We determine limiting 
56
field data with data from remote sensing. We determine limiting 
            
57
factors (habitat, climate, resources) and predict species occurrence 
57
factors (habitat, climate, resources) and predict species occurrence 
            
58
and habitat suitability with modelling techniques.\r\n\r\nThese models 
58
and habitat suitability with modelling techniques.\r\n\r\nThese models 
            
59
allow to predict species occurrence patterns and to delineate 
59
allow to predict species occurrence patterns and to delineate 
            
60
evidence-based priority areas for conservation. Our long-term 
60
evidence-based priority areas for conservation. Our long-term 
            
61
collaboration with federal and cantonal stakeholders of forest and 
61
collaboration with federal and cantonal stakeholders of forest and 
            
62
nature conservation enables the combination of research results with 
62
nature conservation enables the combination of research results with 
            
63
conservation requirements (e.g. species action plans, forest 
63
conservation requirements (e.g. species action plans, forest 
            
64
biodiversity expert panel, scientific counsel for bat protection). 
64
biodiversity expert panel, scientific counsel for bat protection). 
            
65
While we investigate complete distribution ranges in bats, we focus on 
65
While we investigate complete distribution ranges in bats, we focus on 
            
66
forest habitats in birds and insects given the large extent and high 
66
forest habitats in birds and insects given the large extent and high 
            
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importance of forests for biodiversity conservation in Switzerland.",
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importance of forests for biodiversity conservation in Switzerland.",
            
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    "is_organization": true,
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    "name": "conservation-biology",
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    "name": "conservation-biology",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Conservation Biology",
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    "title": "Conservation Biology",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  "private": false,
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  "publication": "{\"publication_year\": \"2021\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2021\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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  "publication_state": "published",
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  "publication_state": "published",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": "* 
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  "related_publications": "* 
            
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https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:29425",
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https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:29425",
            
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  "relationships_as_object": [],
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  "relationships_as_subject": [],
            
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  "resource_type": "dataset",
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  "resource_type": "dataset",
            
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      "description": "Dataset 1: Processed data for urban beekeeping 
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      "description": "Dataset 1: Processed data for urban beekeeping 
            
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2012-2018\r\n",
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2012-2018\r\n",
            
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      "description": "Dataset 2: Processed data for modelling balance 
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      "description": "Dataset 2: Processed data for modelling balance 
            
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urban greenspace",
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urban greenspace",
            
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      "doi": "",
            
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      "format": "CSV",
            
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      "created": "2022-04-20T15:44:04.282839",
            
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      "description": "Not used for the analyses and not link to the 
            
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paper. \nAggregated data on number hives, beekeeping locations and 
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paper. \nAggregated data on number hives, beekeeping locations and 
            
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ratios in 500m x 500m cells in a different spatial extent.",
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ratios in 500m x 500m cells in a different spatial extent.",
            
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      "doi": "",
            
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apiaries on the years 2012, 2013, 2014, 2015, 2016, 2017, 2018 in 
            
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several Swiss cities.",
            
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  "tags": [
            
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    {
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    {
            
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      "display_name": "HONEYBEES",
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      "display_name": "HONEYBEES",
            
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      "display_name": "POLLINATION",
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      "display_name": "REMOTE SENSING",
            
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      "id": "1bc9d51e-2500-44a7-857b-13710a59e4be",
            
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      "name": "REMOTE SENSING",
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      "name": "REMOTE SENSING",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "SUSTAINABILITY",
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      "display_name": "SUSTAINABILITY",
            
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      "id": "d7c4839d-f229-4ea6-82e5-c747c976b6fc",
            
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      "name": "SUSTAINABILITY",
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      "name": "SUSTAINABILITY",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "URBAN BIODIVERSITY",
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      "display_name": "URBAN BIODIVERSITY",
            
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      "id": "bfeca73e-3520-4d67-9e20-37e679f1d203",
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      "id": "bfeca73e-3520-4d67-9e20-37e679f1d203",
            
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      "name": "URBAN BIODIVERSITY",
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      "name": "URBAN BIODIVERSITY",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "URBANIZATION",
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      "display_name": "URBANIZATION",
            
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      "id": "80141c83-e3e9-43b5-9c76-abad1e74852c",
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      "id": "80141c83-e3e9-43b5-9c76-abad1e74852c",
            
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      "name": "URBANIZATION",
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      "name": "URBANIZATION",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
253
  "title": "Challenging the sustainability of urban beekeeping: 
255
  "title": "Challenging the sustainability of urban beekeeping: 
            
254
evidence from Swiss cities",
256
evidence from Swiss cities",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": null,
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  "url": null,
            
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  "version": "1.0"
259
  "version": "1.0"
            
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}
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}