Wenli Wang

Mr. Wenli Wang

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 April 2022 in Frontiers in Plant Science
Verified
Journal Article
Open access
FZFuyan Zou
Fuyan Zou
CTChengyi Tu
Chengyi Tu
DLDongmei Liu
Dongmei Liu
CYChaoying Yang
Chaoying Yang
WWWenli Wang
Wenli Wang
ZZZhiming Zhang
Zhiming Zhang
Alpine treeline is highly sensitive to climate change, but there remains a lack of research on the spatiotemporal heterogeneity of treeline and their relationships with climate change at the landscape scale. We extracted positions of alpine treeline from high-resolution Google Earth images from three periods (2000, 2010, and 2020) and analyzed the elevation patterns and dynamics of treeline positions in the Hengduan Mountains. Based on the treeline positions in 2020, a buffer zone of 300 m is established as the treeline transition zone, and the changing trend of the fraction vegetation cover (FVC) from 2000 to 2020 and its relationship with climate are also analyzed. Due to the special geographical and climatic environment, the treeline in the Hengduan Mountains area is high in the middle but lower in the surrounding areas. We found that over the past 20 years, the treeline position did not change significantly but that the FVC increased in 80.3% of the treeline areas. The increase in FVC was related to the decrease in precipitation in the growing season. The results also revealed a special exposure effect on the alpine treeline in the Hengduan Mountains. Because of the lower treeline, isotherm position caused by the monsoon climate, the treeline position on south-facing slopes is lower than that on slopes with other exposures. Our results confirmed that the pattern and dynamics of the alpine treeline are driven by the regional monsoon climate regime.

20 May 2022 in Diversity
Verified
Journal Article
Open access
PDF file
Bin WangBin Wang
Bin Wang
HSHu Sun
Hu Sun
ACArthur Cracknell
Arthur Cracknell
YDYun Deng
Yun Deng
QLQiang Li
Qiang Li
ZZZhiming Zhang
Zhiming Zhang
The ‘Returning Farmland to Forest Program’ (RFFP) in China has become an essential factor in land cover changes and forest transition, especially in terms of the ecological processes between two adjacent ecosystems. However, accurately delineating ecotones is still a big challenge for vegetation and landscape ecologists. Acquiring high spatial resolution imagery from a small, unmanned aircraft system (UAS) provides new opportunities for studying ecotones at a small scale. This study aims to extract forest-agriculture ecotones by RGB ultrahigh-resolution images from a small UAS and quantify the small biotopes in 3D space. To achieve these objectives, a canopy height model (CHM) is constructed based on a UAS-photogrammetric-derived point cloud, which is derived from the digital surface model (DSM) minus the digital terrain model (DTM). Afterward, according to the difference of plant community height between abandoned farmland ecosystem and forest ecosystem, the ecotones are delineated. A landscape pattern identified with ecotones and other small biotopes at the fine scale. Furthermore, we assess the accuracy of the ecotones’ delineation based on the transects method with the previous situ work we carried out and quantify the landscape structure using common landscape metrics to describe its spatial and geometric characteristics. Through transect-based analysis at three transects, the overall accuracy of the width of UAS-derived delineation is greater than 70%, and the detection accuracy for the occurrence location is 100%. Finally, we conclude that ecotones extraction from UAS images would also provide the possibility to gain a comprehensive understanding of the entire ecological process of agricultural abandoned land restoration through continuous investigation and monitoring.

27 September 2025 in Soil Biology and Biochemistry
Verified
Journal Article
Closed access
XSXiongjie Sheng
Xiongjie Sheng
JZJuan Zhou
Juan Zhou
MLMeng Lu
Meng Lu
HJHui Jin
Hui Jin
WWWenli Wang
Wenli Wang
XDXiaolin Dou
Xiaolin Dou

1 January 2022 in Chinese Journal of Plant Ecology
Verified
Journal Article
Closed access
PDF file
MZMing-Yang Zhu
Ming-Yang Zhu
LLLin Lin
Lin Lin
YSYu-Long She
Yu-Long She
CXCheng-Cai Xiao
Cheng-Cai Xiao
TZTong-Xing Zhao
Tong-Xing Zhao
WWWenli Wang
Wenli Wang

16 July 2023 in Forests
Verified
Journal Article
Open access
PDF file
WWWenli Wang
Wenli Wang
MZMingyang Zhu
Mingyang Zhu
LLLin Lin
Lin Lin
ZYZiyu Yang
Ziyu Yang
FYFenjie Yao
Fenjie Yao
Phenological synchronicity of different tree parts and habitats can provide valuable insights into the physiological relationships and regulatory factors of different phenologies. The earlywood (EW) to latewood (LW) transition of the xylem is a critical process closely related to the key functions and physiological processes of trees. This study investigated the phenology phase of the EW–LW transition in branches and stems of Smith fir (Abies forrestii var. smithii Viguié & Gaussen) along an altitude gradient (3600 m, 3800 m, and 4000 m) in Jiaozi Mountain, Yunnan, China, in 2021. The study aimed to test the hypothesis that branches transition earlier than stems, but the elevation does not affect the transition time. We monitored the EW–LW transition dates weekly using microcores and then correlated them to the climatic conditions and developmental processes. Our findings revealed that the EW–LW transition timing varied among the different parts of the tree but was synchronized across the different elevations. Furthermore, the transition always occurred earlier in branches than in the stem, but the difference narrowed with increasing altitude. The EW–LW transition was mainly influenced by photoperiod, which plays a crucial role as a signaling factor. Additionally, the tree crown was more sensitive to environmental changes than the stem. The transition time of stems was less sensitive to environmental factors than that of branches. Therefore, our results suggest that the earlywood to latewood transition is regulated by developmental factors, and the photoperiod may indirectly regulate the developmental process of trees as a signaling factor, thus regulating the earlywood to latewood transition time. Our study provides new insights into the developmental regulation and climate sensitivity of tree ring formation.

2 July 2025 in BMC Plant Biology
Verified
Journal Article
Open access
PDF file
ZYZiyu Yang
Ziyu Yang
WWWenli Wang
Wenli Wang
JLJiangqin Liu
Jiangqin Liu
FYFenjie Yao
Fenjie Yao
SZShiyu Zhang
Shiyu Zhang
WLWenze Li
Wenze Li
Understanding radial growth phenology is crucial in the comprehension of tree physiology and its susceptibility to climate change. Numerous studies have investigated the impacts of radial growth activity in stem meristems and environmental factors on wood formation and tree growth in treeline trees. Nevertheless, studies on the radial growth dynamics of lateral meristems across different tree parts and the variations in their responses to environmental factors are scarce. To test the hypothesis that the radial growth phenology of diverse tree organs is synchronized, three sample strips were set up along an elevational gradient in the Jiaozi Mountain National Nature Reserve, Yunnan Province, China. To clarify the differences in radial growth dynamics between shoots and stems at the cellular level, weekly microcore samples were collected from shoots and stems from 2019–2021. The results indicated that: (1) Radial growth between shoots and stems was asynchronous, with the onset of radial growth of shoots preceding that of stems. (2) The temperature threshold for the onset of radial growth in Abies forrestii var. smithii converges within the range of 3.67–6.61°C, with a mean value of 4.99 ± 0.16°C. (3) The cell development of shoots and stems was more closely related to photoperiod and temperature than to other environmental factors. Our study offers novel insights into the dynamics of the cambium in treeline trees and the results support the apical growth limitation hypothesis.