說明
The projects Tres Mesas Wind Farm Phase 3 (TM3) and Phase 4 (TM4) are located in the municipality of Llera de Canales, in the state of Tamaulipas, Mexico within an area where other wind farms operate. The available project area is 8,902.64 hectares. TM4 has an environmental impact assessment authorization from the Secretaría de Medio Ambiente y Recursos Naturales, which established conditions for the development of the project, including a study to analyze the distribution and current status of mammals and big felids.
The document data comes from mammals and big felids monitoring in TM3 and TM4 wind farms. The monitoring database presented was carried out from January to December 2023.
資料紀錄
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版本
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權利
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此資料的發布者及權利單位為 ENGIE。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: a648633a-e94d-4bdd-9c00-c5d1773c2f9e。 ENGIE 發佈此資源，並經由GBIF France同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence; Observation
聯絡資訊
- 元數據提供者
- Main C Researcher
地理涵蓋範圍
Renewable projects Tres Mesas 3 (TM3) and Tres Mesas 4 (TM4) in Tamaulipas, Mexico.
| 界定座標範圍 | 緯度南界 經度西界 [23.392, -98.968], 緯度北界 經度東界 [23.461, -98.862] |
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分類群涵蓋範圍
無相關描述
| Kingdom | Animalia |
|---|---|
| Phylum | Chordata |
| Class | Mammalia |
| Order | Artiodactyla, Carnivora, Lagomorpha, Didelphimorphia |
| Family | Canidae, Cervidae, Didelphidae, Felidae, Leporidae, Mephitidae, Mustelidae, Procyonidae, Tayassuidae |
計畫資料
Monitoring program for mammals and three focal species of feline in wind farm Tres Mesas 3 and Tres Mesas 4 through tramp camera methodology to document its abundance, compare it over time, and evidence the current conservation status of species.
| 計畫名稱 | Feline and other mammals monitoring in Tres Mesas wind farm |
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| 研究設計描述 | 30 photo-trapping stations were installed, of which 13 were double stations, two cameras at each photo-trapping station placed one on each side of the road to identify some species at the individual level; a total of 43 camera traps were installed. The traps were installed on roads, trails, paths, and bodies of water where tracks, excrement, or any trace left by felids were observed. The calibration of these was performed with a minimum of 3 and a maximum of 5 meters away from the point where the animals potentially present within the study area were estimated to transit and each camera was placed at a height of ~40 to 60 cm, which is ideal for medium and large mammal species. The separation between stations was ~1 km, a distance necessary to avoid overestimating the relative abundances of felids. |
取樣方法
30 photo-trapping stations were installed, of which 13 were double stations, two cameras at each photo-trapping station placed one on each side of the road to identify some species at the individual level; a total of 43 camera traps were installed. The traps were installed on roads, trails, paths, and bodies of water where tracks, excrement, or any trace left by felids were observed. The calibration of these was performed with a minimum of 3 and a maximum of 5 meters away from the point where the animals potentially present within the study area were estimated to transit and each camera was placed at a height of ~40 to 60 cm, which is ideal for medium and large mammal species. The separation between stations was ~1 km, a distance necessary to avoid overestimating the relative abundances of felids.
| 研究範圍 | The geographic location of the eolic project is considered an important region between the Sierra Madre Oriental and the Sierra de Tamaulipas. The site is located near the City of Llera Canales (municipal head). The Project has been developed within a plot area of 89,023 hectares. |
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方法步驟描述:
- The first step for the elaboration of the analyses will be the creation of the database obtained in the camera traps, for which the Renamer program is used, which creates efficient databases that allow the data to be used for further analysis. Once the files are renamed, the programs Data Organize and Data Analyze are used to generate output files for density estimation and activity pattern analysis. The HotSpotter program is used for identification at the individual level. Once identified at the individual level, the density is determined through analysis within the programming environment Rstudio version 4.0.3 (R Code Team, 2017) in the freely available software secr version 4.3.3.3.