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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", | ||
157 | "image_url": "2023-09-25-110048.431222ipp0.png", | 157 | "image_url": "2023-09-25-110048.431222ipp0.png", | ||
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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