Vegetation data sampled by members of Vegetation Ecology Lab (Institute of Ecology and Evolutionary Biology, National Taiwan University) along the elevation gradient (850-2100 m asl) in the northern part of Taiwan.
この sampling event リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、59 レコードが含まれています。
拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。
Zelený D (2020): lalashan_transect. v1.5. Ministry of Science and Techonology. Dataset/Samplingevent. https://ipt.taibif.tw/resource?r=lalashan_transect&v=1.5
パブリッシャーとライセンス保持者権利者は Ministry of Science and Techonology。 This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.
このリソースをはGBIF と登録されており GBIF UUID: 00dfc6d8-0463-4302-862d-328a374965b9が割り当てられています。 Taiwan Biodiversity Information Facility によって承認されたデータ パブリッシャーとして GBIF に登録されているMinistry of Science and Techonology が、このリソースをパブリッシュしました。
Taiwan (northern part)
|座標（緯度経度）||南 西 [24.7, 121.44], 北 東 [24.86, 121.53]|
Taiwan as a subtropical island exposed to East-Asian monsoon system offers a unique opportunity to study vegetation along two peculiar stress gradients, cloud frequency and chronic-wind intensity. Frequent cloud or persistent strong winds have remarkable ecological effects on vegetation and species adaptations. Cloud and monsoon forests thus represent unique vegetation types, hosting a number of endemic and relict species. In the near future, ongoing climate change is expected to modify both cloud frequency and chronic-wind intensity. To understand the impact of these changes on future diversity and species composition of cloud and monsoon forests and the ecological mechanisms behind has both high scientific and conservative values. In this project, we will use patterns of forest vegetation along the gradient of cloud frequency and chronic-wind intensity in Taiwan as a model system to study the rules about how species from species pool assemble to a local community. Apart from taxonomical approach (species census), we will also focus on plant functional traits since these allow more mechanical and general explanation of environmental filtering. Four aims will be conducted to our modelling system: 1) to analyse species- and community-level changes in leaf and wood functional trait properties along cloud and wind gradients, 2) to analyse the pattern of taxonomic and functional diversity, 3) to compile Ellenberg-like species indicator values along gradients of cloud frequency and chronic-wind intensity, and 4) to identify cloud and wind specialists and their functional trait properties. Additionally, we will invest considerable energy to sample the environment factors together with long-term monitoring, since detail knowledge of actual soil and microclimatic conditions are the keys to understanding how vegetation response to them. All aims are partly related (e.g. trait data measured within the aim 1 will also be used in other three aims); aim 2 is designated as a potential independent topic for the post-doc researcher, and within each remaining aims, independent research topics for graduate students can be designated. Studies focused on cloud and wind gradients are rather rare, especially from subtropical regions, and many ecological questions remain unresolved. We believe that our project, applying modern methods from the toolbox of vegetation ecology, can help answering at least some of them. Such findings, apart from the general importance for theoretical ecology, have also a good potential for application in conservation, management and restoration of these habitats, which are threatened by land-use and climate changes.
|タイトル||Changes in species- and community-level properties of forest vegetation along cloud and chronic-wind gradients in Taiwan|
|識別子||Ministry of Science and Technology, 106-2621-B-002-003-MY3|
|ファンデイング||Ministry of Science and Technology|
The elevation transect was separated into elevation bands, each 250 elevation meters wide, and at each of the elevation band, ten vegetation plots have been established; three of them were larger (20 m x 20 m) and permanently fixed, remaining seven were smaller (10 m x 10 m) and not permanently fixed. Within each plot, we recorded presence of all vascular plant species, including trees, shrubs and juveniles of woody species, and also herbs, lianas and epiphytes (visible from the ground). For the purpose of occurrence data, the same species occurring in different vegetation layers (e.g. tree + juvenile) were merged together.
|Study Extent||Elevation transect from foothill forest (850 m asl) to upper montane cloud forest (2100 m asl), set in the northern part of Taiwan.|
|Quality Control||For each recorded species (with very few notable exceptions) we collected several specimens, which were used to verify the field determination. Species nomenclature for ferns and lycophytes follows Kuo et al. (2019), for Orchidaceae follows Lin et al. (2016), and for other vascular plant species follows the nomenclature currently adopted by Taiwan Biodiversity Information Facility (http://www.taibif.tw/). For the purpose of this study, we adopted the following taxonomic approach. Cleyera japonica is represented by three varieties (var. longicarpa, which is the most common, var. taipinensis, occurring in high elevation, and var. morii, occurring in low elevation). Neolitsea aciculata includes mainly individuals of var. aciculata, but in lower elevation also var. variabillima. Plant individuals for which we were not confident with species or variety level determination were labelled as cf. if there was enough indication about which species/variety it can be, or assigned to genus level only if there was no indication. In the later analysis, we applied liberal approach and merged species determined as cf. with those determined with confidence. References: Lin, T.-P., Liu, H.-Y., Hsieh, C.-F., & Wang, K.-H. (2016). Complete list of the native orchids of Taiwan and their type information. Taiwania, 61, 78-126. https://doi.org/10.6165/tai.2016.61.78 Kuo, L.-Y., Hsu, T.-C., Chao, Y.-S., Liou, W.-T., Chang, H.-M., Chen, C.-W., Huang, Y.-M., Li, F.-W., Huang, Y.-F., Shao, W., Lu, P.-F., Chen, C.-W., Chang, Y.-H., & Chiou, W.-L. (2019). Updating Taiwanese pteridophyte checklist: a new phylogenetic classification. Taiwania, 64, 367-395. https://doi.org/10.6165/tai.2019.64.367|
Method step description:
- 1. Site location and field reconnaissance 2. Delineating the plots (using tape), recording all vascular plant species, and also topographical description (elevation) and GPS coordinates. From each species collected in the plot for the first time within given elevation band, we collected voucher for future determination. 3. Back in the lab, collected vouchers were determined and stored as herbarium specimens, and field data were checked and digitized.