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    | f | 1 | { | f | 1 | { | 
| 2 | "Observaciones": { | 2 | "Observaciones": { | ||
| 3 | "en": "", | 3 | "en": "", | ||
| 4 | "es": "Van Schmidt, Nathan D.; Oviedo, Jos\u00e9 L.; Hruska, | 4 | "es": "Van Schmidt, Nathan D.; Oviedo, Jos\u00e9 L.; Hruska, | ||
| 5 | Tracy; Huntsinger, Lynn; Kovach, Tony; Kilpatrick, A. Marm; Miller, | 5 | Tracy; Huntsinger, Lynn; Kovach, Tony; Kilpatrick, A. Marm; Miller, | ||
| 6 | Norman L.; Beissinger, Steven R.; 2021; Assessing impacts of | 6 | Norman L.; Beissinger, Steven R.; 2021; Assessing impacts of | ||
| 7 | social-ecological diversity on resilience in a wetland coupled human | 7 | social-ecological diversity on resilience in a wetland coupled human | ||
| 8 | and natural system: Data release [Dataset]; Dryad; Version 4; | 8 | and natural system: Data release [Dataset]; Dryad; Version 4; | ||
| 9 | https://doi.org/10.6078/D1970G" | 9 | https://doi.org/10.6078/D1970G" | ||
| 10 | }, | 10 | }, | ||
| 11 | "author": null, | 11 | "author": null, | ||
| 12 | "author_email": null, | 12 | "author_email": null, | ||
| 13 | "autor": { | 13 | "autor": { | ||
| 14 | "es": [ | 14 | "es": [ | ||
| 15 | "Nathan D. Van Schmidt", | 15 | "Nathan D. Van Schmidt", | ||
| 16 | "Jos\u00e9 L. Oviedo", | 16 | "Jos\u00e9 L. Oviedo", | ||
| 17 | "Tracy Hruska", | 17 | "Tracy Hruska", | ||
| 18 | "Lynn Huntsinger", | 18 | "Lynn Huntsinger", | ||
| 19 | "Tony Kovach", | 19 | "Tony Kovach", | ||
| 20 | "A. Marm Kilpatrick", | 20 | "A. Marm Kilpatrick", | ||
| 21 | "Norman L. Miller", | 21 | "Norman L. Miller", | ||
| 22 | "Steven R. Beissinger" | 22 | "Steven R. Beissinger" | ||
| 23 | ] | 23 | ] | ||
| 24 | }, | 24 | }, | ||
| 25 | "conforms_to": [], | 25 | "conforms_to": [], | ||
| 26 | "coverage_new": {}, | 26 | "coverage_new": {}, | ||
| 27 | "creator_user_id": "196556b3-e0c4-4c51-a9e6-f51cc752bc37", | 27 | "creator_user_id": "196556b3-e0c4-4c51-a9e6-f51cc752bc37", | ||
| 28 | "description": { | 28 | "description": { | ||
| 29 | "en": "[Methods] We mapped all emergent wetlands > 5\u00d75 m | 29 | "en": "[Methods] We mapped all emergent wetlands > 5\u00d75 m | ||
| 30 | within our study area\u2014California\u2019s Sierra Nevada foothills | 30 | within our study area\u2014California\u2019s Sierra Nevada foothills | ||
| 31 | EPA zone III eco-region in Yuba, Nevada, and southern Butte countieso | 31 | EPA zone III eco-region in Yuba, Nevada, and southern Butte countieso | ||
| 32 | of California. Mapping was done by manually interpreting summer 2013 | 32 | of California. Mapping was done by manually interpreting summer 2013 | ||
| 33 | GeoEye-1 0.4 m imagery in Google Earth 7.1.5. Areas covered by | 33 | GeoEye-1 0.4 m imagery in Google Earth 7.1.5. Areas covered by | ||
| 34 | hydrophytes (Typha spp., Scirpus spp., Juncus effusus, Leersia | 34 | hydrophytes (Typha spp., Scirpus spp., Juncus effusus, Leersia | ||
| 35 | oryzoides, or various sedges) were considered wetland. We included | 35 | oryzoides, or various sedges) were considered wetland. We included | ||
| 36 | hydrophytes that appeared seasonally dried; if green vegetation was | 36 | hydrophytes that appeared seasonally dried; if green vegetation was | ||
| 37 | present along the wetland-upland transition zone, we buffered 5 m into | 37 | present along the wetland-upland transition zone, we buffered 5 m into | ||
| 38 | it. Open water and rice were excluded. If imagery was ambiguous, we | 38 | it. Open water and rice were excluded. If imagery was ambiguous, we | ||
| 39 | used Google Earth imagery from adjacent years to help distinguish if a | 39 | used Google Earth imagery from adjacent years to help distinguish if a | ||
| 40 | wetland was present. Each wetland\u2019s geomorphology was classified | 40 | wetland was present. Each wetland\u2019s geomorphology was classified | ||
| 41 | as slope (shallow hillside flow), pond fringe, fluvial, rice fringe, | 41 | as slope (shallow hillside flow), pond fringe, fluvial, rice fringe, | ||
| 42 | irrigation ditch, or waterfowl impoundment. We combined historic | 42 | irrigation ditch, or waterfowl impoundment. We combined historic | ||
| 43 | imagery and field data to determine the water sources. We surveyed 237 | 43 | imagery and field data to determine the water sources. We surveyed 237 | ||
| 44 | wetlands for occupancy of Black Rails up to three times each summer | 44 | wetlands for occupancy of Black Rails up to three times each summer | ||
| 45 | from 2012\u20132016 using established broadcast survey methods (for | 45 | from 2012\u20132016 using established broadcast survey methods (for | ||
| 46 | details see Richmond et al. 2010). To assess the effects of water | 46 | details see Richmond et al. 2010). To assess the effects of water | ||
| 47 | source on wetland hydrology, we resurveyed wetlands for 14 periods: in | 47 | source on wetland hydrology, we resurveyed wetlands for 14 periods: in | ||
| 48 | the early wet season (January 8\u201327), late wet season (March | 48 | the early wet season (January 8\u201327), late wet season (March | ||
| 49 | 22\u201325), early dry season (May 17\u2013June 20), and late dry | 49 | 22\u201325), early dry season (May 17\u2013June 20), and late dry | ||
| 50 | season (July 15\u2013August 15) from summer 2013\u20132016. At each | 50 | season (July 15\u2013August 15) from summer 2013\u20132016. At each | ||
| 51 | visit we walked throughout the wetland with a map of aerial imagery | 51 | visit we walked throughout the wetland with a map of aerial imagery | ||
| 52 | and recorded the percent wetness (areal percent of wetland saturated | 52 | and recorded the percent wetness (areal percent of wetland saturated | ||
| 53 | with water). We trapped mosquitoes at 63 wetlands from | 53 | with water). We trapped mosquitoes at 63 wetlands from | ||
| 54 | June\u2013October, 2012\u20132014 (4710 trap/nights) and estimated WNV | 54 | June\u2013October, 2012\u20132014 (4710 trap/nights) and estimated WNV | ||
| 55 | prevalence (probability of a mosquito testing positive for WNV) with | 55 | prevalence (probability of a mosquito testing positive for WNV) with | ||
| 56 | genetic testing. We estimated WNV transmission risk at each wetland as | 56 | genetic testing. We estimated WNV transmission risk at each wetland as | ||
| 57 | the mean abundance of WNV-infected Culex spp. (the main WNV vectors) | 57 | the mean abundance of WNV-infected Culex spp. (the main WNV vectors) | ||
| 58 | per trap/night. [Usage Notes] Note that wetland data is not a | 58 | per trap/night. [Usage Notes] Note that wetland data is not a | ||
| 59 | comprehensive list of all wetlands in the region. Missing values for | 59 | comprehensive list of all wetlands in the region. Missing values for | ||
| 60 | black rail occupancy in some years or visits within years are | 60 | black rail occupancy in some years or visits within years are | ||
| 61 | delineated with", | 61 | delineated with", | ||
| 62 | "es": "[Methods] We mapped all emergent wetlands > 5\u00d75 m | 62 | "es": "[Methods] We mapped all emergent wetlands > 5\u00d75 m | ||
| 63 | within our study area\u2014California\u2019s Sierra Nevada foothills | 63 | within our study area\u2014California\u2019s Sierra Nevada foothills | ||
| 64 | EPA zone III eco-region in Yuba, Nevada, and southern Butte countieso | 64 | EPA zone III eco-region in Yuba, Nevada, and southern Butte countieso | ||
| 65 | of California. Mapping was done by manually interpreting summer 2013 | 65 | of California. Mapping was done by manually interpreting summer 2013 | ||
| 66 | GeoEye-1 0.4 m imagery in Google Earth 7.1.5. Areas covered by | 66 | GeoEye-1 0.4 m imagery in Google Earth 7.1.5. Areas covered by | ||
| 67 | hydrophytes (Typha spp., Scirpus spp., Juncus effusus, Leersia | 67 | hydrophytes (Typha spp., Scirpus spp., Juncus effusus, Leersia | ||
| 68 | oryzoides, or various sedges) were considered wetland. We included | 68 | oryzoides, or various sedges) were considered wetland. We included | ||
| 69 | hydrophytes that appeared seasonally dried; if green vegetation was | 69 | hydrophytes that appeared seasonally dried; if green vegetation was | ||
| 70 | present along the wetland-upland transition zone, we buffered 5 m into | 70 | present along the wetland-upland transition zone, we buffered 5 m into | ||
| 71 | it. Open water and rice were excluded. If imagery was ambiguous, we | 71 | it. Open water and rice were excluded. If imagery was ambiguous, we | ||
| 72 | used Google Earth imagery from adjacent years to help distinguish if a | 72 | used Google Earth imagery from adjacent years to help distinguish if a | ||
| 73 | wetland was present. Each wetland\u2019s geomorphology was classified | 73 | wetland was present. Each wetland\u2019s geomorphology was classified | ||
| 74 | as slope (shallow hillside flow), pond fringe, fluvial, rice fringe, | 74 | as slope (shallow hillside flow), pond fringe, fluvial, rice fringe, | ||
| 75 | irrigation ditch, or waterfowl impoundment. We combined historic | 75 | irrigation ditch, or waterfowl impoundment. We combined historic | ||
| 76 | imagery and field data to determine the water sources. We surveyed 237 | 76 | imagery and field data to determine the water sources. We surveyed 237 | ||
| 77 | wetlands for occupancy of Black Rails up to three times each summer | 77 | wetlands for occupancy of Black Rails up to three times each summer | ||
| 78 | from 2012\u20132016 using established broadcast survey methods (for | 78 | from 2012\u20132016 using established broadcast survey methods (for | ||
| 79 | details see Richmond et al. 2010). To assess the effects of water | 79 | details see Richmond et al. 2010). To assess the effects of water | ||
| 80 | source on wetland hydrology, we resurveyed wetlands for 14 periods: in | 80 | source on wetland hydrology, we resurveyed wetlands for 14 periods: in | ||
| 81 | the early wet season (January 8\u201327), late wet season (March | 81 | the early wet season (January 8\u201327), late wet season (March | ||
| 82 | 22\u201325), early dry season (May 17\u2013June 20), and late dry | 82 | 22\u201325), early dry season (May 17\u2013June 20), and late dry | ||
| 83 | season (July 15\u2013August 15) from summer 2013\u20132016. At each | 83 | season (July 15\u2013August 15) from summer 2013\u20132016. At each | ||
| 84 | visit we walked throughout the wetland with a map of aerial imagery | 84 | visit we walked throughout the wetland with a map of aerial imagery | ||
| 85 | and recorded the percent wetness (areal percent of wetland saturated | 85 | and recorded the percent wetness (areal percent of wetland saturated | ||
| 86 | with water). We trapped mosquitoes at 63 wetlands from | 86 | with water). We trapped mosquitoes at 63 wetlands from | ||
| 87 | June\u2013October, 2012\u20132014 (4710 trap/nights) and estimated WNV | 87 | June\u2013October, 2012\u20132014 (4710 trap/nights) and estimated WNV | ||
| 88 | prevalence (probability of a mosquito testing positive for WNV) with | 88 | prevalence (probability of a mosquito testing positive for WNV) with | ||
| 89 | genetic testing. We estimated WNV transmission risk at each wetland as | 89 | genetic testing. We estimated WNV transmission risk at each wetland as | ||
| 90 | the mean abundance of WNV-infected Culex spp. (the main WNV vectors) | 90 | the mean abundance of WNV-infected Culex spp. (the main WNV vectors) | ||
| 91 | per trap/night. [Usage Notes] Note that wetland data is not a | 91 | per trap/night. [Usage Notes] Note that wetland data is not a | ||
| 92 | comprehensive list of all wetlands in the region. Missing values for | 92 | comprehensive list of all wetlands in the region. Missing values for | ||
| 93 | black rail occupancy in some years or visits within years are | 93 | black rail occupancy in some years or visits within years are | ||
| 94 | delineated with" | 94 | delineated with" | ||
| 95 | }, | 95 | }, | ||
| 96 | "groups": [ | 96 | "groups": [ | ||
| 97 | { | 97 | { | ||
| 98 | "description": "", | 98 | "description": "", | ||
| 99 | "display_name": "Ecolog\u00eda", | 99 | "display_name": "Ecolog\u00eda", | ||
| 100 | "id": "f0a99165-7e2b-4c48-acd8-fcbb34bf2f15", | 100 | "id": "f0a99165-7e2b-4c48-acd8-fcbb34bf2f15", | ||
| 101 | "image_display_url": | 101 | "image_display_url": | ||
| 102 | atos.cchs.csic.es/uploads/group/2024-07-15-113023.996987Ecologia.png", | 102 | atos.cchs.csic.es/uploads/group/2024-07-15-113023.996987Ecologia.png", | ||
| 103 | "name": "ecologia", | 103 | "name": "ecologia", | ||
| 104 | "title": "Ecolog\u00eda" | 104 | "title": "Ecolog\u00eda" | ||
| 105 | } | 105 | } | ||
| 106 | ], | 106 | ], | ||
| 107 | "id": "f3c99d85-005c-43f6-b7de-29d9376b2a02", | 107 | "id": "f3c99d85-005c-43f6-b7de-29d9376b2a02", | ||
| 108 | "identifier": "http://hdl.handle.net/10261/280602", | 108 | "identifier": "http://hdl.handle.net/10261/280602", | ||
| 109 | "international_spatial_translated": { | 109 | "international_spatial_translated": { | ||
| 110 | "en": "", | 110 | "en": "", | ||
| 111 | "es": "" | 111 | "es": "" | ||
| 112 | }, | 112 | }, | ||
| 113 | "isopen": false, | 113 | "isopen": false, | ||
| 114 | "issued_date": "2021-04-21T00:00:00", | 114 | "issued_date": "2021-04-21T00:00:00", | ||
| 115 | "language": [ | 115 | "language": [ | ||
| 116 | "en" | 116 | "en" | ||
| 117 | ], | 117 | ], | ||
| 118 | "license_id": "https://creativecommons.org/publicdomain/zero/1.0/", | 118 | "license_id": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
| 119 | "license_title": | 119 | "license_title": | ||
| 120 | "https://creativecommons.org/publicdomain/zero/1.0/", | 120 | "https://creativecommons.org/publicdomain/zero/1.0/", | ||
| 121 | "maintainer": null, | 121 | "maintainer": null, | ||
| 122 | "maintainer_email": null, | 122 | "maintainer_email": null, | ||
| 123 | "metadata_created": "2024-05-30T14:40:36.232585", | 123 | "metadata_created": "2024-05-30T14:40:36.232585", | ||
| n | 124 | "metadata_modified": "2025-02-25T12:38:07.120942", | n | 124 | "metadata_modified": "2025-02-25T12:38:43.354088", | 
| 125 | "multilingual_tags": { | 125 | "multilingual_tags": { | ||
| 126 | "en": [ | 126 | "en": [ | ||
| 127 | "Laterallus jamaicensis coturniculus", | 127 | "Laterallus jamaicensis coturniculus", | ||
| 128 | "California Black Rail", | 128 | "California Black Rail", | ||
| 129 | "Flaviviridae", | 129 | "Flaviviridae", | ||
| 130 | "Rangelands", | 130 | "Rangelands", | ||
| 131 | "Socio-ecological system", | 131 | "Socio-ecological system", | ||
| 132 | "Coupled human and natural system", | 132 | "Coupled human and natural system", | ||
| 133 | "Coupled natural-human system", | 133 | "Coupled natural-human system", | ||
| 134 | "Metapopulation", | 134 | "Metapopulation", | ||
| 135 | "Earth and related environmental sciences" | 135 | "Earth and related environmental sciences" | ||
| 136 | ] | 136 | ] | ||
| 137 | }, | 137 | }, | ||
| 138 | "name": | 138 | "name": | ||
| 139 | -ecological-diversity-on-resilience-in-a-wetland-coupled-human-and-n", | 139 | -ecological-diversity-on-resilience-in-a-wetland-coupled-human-and-n", | ||
| 140 | "notes": null, | 140 | "notes": null, | ||
| 141 | "num_resources": 5, | 141 | "num_resources": 5, | ||
| 142 | "num_tags": 0, | 142 | "num_tags": 0, | ||
| 143 | "organization": { | 143 | "organization": { | ||
| 144 | "approval_status": "approved", | 144 | "approval_status": "approved", | ||
| 145 | "created": "2023-09-25T13:00:48.436872", | 145 | "created": "2023-09-25T13:00:48.436872", | ||
| 146 | "description": "El Instituto de Pol\u00edticas y Bienes | 146 | "description": "El Instituto de Pol\u00edticas y Bienes | ||
| 147 | P\u00fablicos (IPP) es un instituto del CSIC que se cre\u00f3 en 2007, | 147 | P\u00fablicos (IPP) es un instituto del CSIC que se cre\u00f3 en 2007, | ||
| 148 | con el objetivo de generar investigaci\u00f3n cient\u00edfica de | 148 | con el objetivo de generar investigaci\u00f3n cient\u00edfica de | ||
| 149 | excelencia internacional y de gran impacto social en el \u00e1mbito | 149 | excelencia internacional y de gran impacto social en el \u00e1mbito | ||
| 150 | del an\u00e1lisis de las pol\u00edticas p\u00fablicas. \r\n\r\nEl IPP | 150 | del an\u00e1lisis de las pol\u00edticas p\u00fablicas. \r\n\r\nEl IPP | ||
| 151 | tiene como misi\u00f3n la generaci\u00f3n de conocimiento | 151 | tiene como misi\u00f3n la generaci\u00f3n de conocimiento | ||
| 152 | cient\u00edfico en torno al an\u00e1lisis de pol\u00edticas y bienes | 152 | cient\u00edfico en torno al an\u00e1lisis de pol\u00edticas y bienes | ||
| 153 | p\u00fablicos, as\u00ed como su gesti\u00f3n por medio de | 153 | p\u00fablicos, as\u00ed como su gesti\u00f3n por medio de | ||
| 154 | organizaciones privadas, instituciones p\u00fablicas y otros actores | 154 | organizaciones privadas, instituciones p\u00fablicas y otros actores | ||
| 155 | sociales.", | 155 | sociales.", | ||
| 156 | "id": "7ee09a95-0735-4848-8c8a-c17381c4278a", | 156 | "id": "7ee09a95-0735-4848-8c8a-c17381c4278a", | ||
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| 158 | "is_organization": true, | 158 | "is_organization": true, | ||
| 159 | "name": "instituto-de-politicas-y-bienes-publicos-ipp-csic", | 159 | "name": "instituto-de-politicas-y-bienes-publicos-ipp-csic", | ||
| 160 | "state": "active", | 160 | "state": "active", | ||
| 161 | "title": "Instituto de Pol\u00edticas y Bienes P\u00fablicos | 161 | "title": "Instituto de Pol\u00edticas y Bienes P\u00fablicos | ||
| 162 | (IPP), CSIC", | 162 | (IPP), CSIC", | ||
| 163 | "type": "organization" | 163 | "type": "organization" | ||
| 164 | }, | 164 | }, | ||
| 165 | "owner_org": "7ee09a95-0735-4848-8c8a-c17381c4278a", | 165 | "owner_org": "7ee09a95-0735-4848-8c8a-c17381c4278a", | ||
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| 169 | "reference": [ | 169 | "reference": [ | ||
| 170 | "https://doi.org/10.6078/D1970G" | 170 | "https://doi.org/10.6078/D1970G" | ||
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