Weibin You

ORCID: 0000-0003-1855-9892
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Research Areas
  • Land Use and Ecosystem Services
  • Forest ecology and management
  • Forest Management and Policy
  • Fire effects on ecosystems
  • Environmental Quality and Pollution
  • Forest Ecology and Biodiversity Studies
  • Soil Carbon and Nitrogen Dynamics
  • Plant Water Relations and Carbon Dynamics
  • Forest, Soil, and Plant Ecology in China
  • Urban Green Space and Health
  • Conservation, Biodiversity, and Resource Management
  • Species Distribution and Climate Change
  • Environmental Changes in China
  • Coastal wetland ecosystem dynamics
  • Remote Sensing in Agriculture
  • Diverse Aspects of Tourism Research
  • Ecology and Vegetation Dynamics Studies
  • Microbial Community Ecology and Physiology
  • Urban Transport and Accessibility
  • Agriculture, Soil, Plant Science
  • Soil erosion and sediment transport
  • Ecology and Conservation Studies
  • Remote Sensing and LiDAR Applications
  • Wildlife-Road Interactions and Conservation
  • Ecosystem dynamics and resilience

Fujian Agriculture and Forestry University
2012-2024

Abstract Forest carbon sequestration capacity in China remains uncertain due to underrepresented tree demographic dynamics and overlooked of harvest impacts. In this study, we employ a process-based biogeochemical model make projections by using national forest inventories, covering approximately 415,000 permanent plots, revealing an expansion biomass stock 13.6 ± 1.5 Pg C from 2020 2100, with additional sink through augmentation wood product pool (0.6-2.0 C) spatiotemporal optimization...

10.1038/s41467-024-47143-5 article EN cc-by Nature Communications 2024-04-11

Abstract Background Forest is the largest biomass carbon (C) pool in China, taking up a substantial amount of atmospheric dioxide. Although it well understood that planted forests (PFs) act as large C sink, contribution human management to storage enhancement remains obscure. Moreover, existing projections forest dynamics suffer from spatially inconsistent age and type information or neglected impacts. In this study, using developed PF maps data collected 1371 plantation sites we simulated...

10.1186/s40663-021-00335-7 article EN cc-by Forest Ecosystems 2021-08-10

The construction of protected areas (PAs) is not only the most effective way to preserve biodiversity resources and natural heritage, but also provides important cultural ecosystem services (CESs) for satisfying human psychological spiritual needs improving well-being. Knowledge CESs at county level vital bottom-up promotion overall work China’s PAs. assessment mapping spatial pattern CESs, their supply demand relationship in PAs surrounding areas, are great significance high-quality...

10.1016/j.ecolind.2023.109992 article EN cc-by-nc-nd Ecological Indicators 2023-02-12

Abstract Forest is the largest carbon sink on land, and timing of forest phenology profoundly influences uptake. However, disparities in sensitivity phenology, particularly between planted forests (PF) natural (NF), have yet to be determined. In this study, we analyzed phenological trends climate‐sensitivities China's NF PF from 2000 2022 using field survey data satellite data. We found that start growing season (start (SOS)) advanced significantly by 0.07 0.08 days yr −1 , while end (end...

10.1029/2023jg007955 article EN Journal of Geophysical Research Biogeosciences 2024-06-01

Understanding the characteristics and driving factors of soil carbon, nitrogen, phosphorus, enzyme stoichiometry during land use/cover change is great significance for assessing microbial nutrient restriction sustainable development process. China, world’s largest tea producer, witnessing a significant expansion plantations into previously forested areas. We performed field sampling in three forest types with area partially converted to Wuyishan National Park. examined changes carbon (TC),...

10.3390/f14102043 article EN Forests 2023-10-12

Shifts in forest phenological events serve as strong indicators of climate change. However, the sensitivity phenology to change relation origins has received limited attention. Moreover, it is unknown whether changes with proximity edge. This study examined green-up dates, dormancy time-integrated NDVI (LiNDVI, a measure vegetation productivity growing season), and their sensitivities climatic factors along gradients distance (i.e. proximity) edge (0–2 km) China's natural forests (NF)...

10.1016/j.fecs.2023.100144 article EN cc-by-nc-nd Forest Ecosystems 2023-01-01

Soil microbial communities play a vital role in soil carbon and sequestration forest ecosystems.In this study, soils were sampled Tianbaoyan National Nature Reserve southeastern China from four Nothotsuga longibracteata forests, including pure N. (NF), + hardwood mixed (NHF), Rhododendron simiarum (NRF), Phyllostachys pubescens (NPF).Our objective was to precisely quantify physicochemical properties, biomass, communities, evaluate their interrelationships.We used biochemical measurements,...

10.15244/pjoes/76116 article EN Polish Journal of Environmental Studies 2018-01-15

Fuzzy mathematics and factor analysis were selected to study the relationship between fallen woods soil fertility in Tsuga longibracteata forest Tianbaoyan National Nature Reserve,Fujian,China.The results showed that surface mineral under had higher than floor soil,and index decreased with decrease of elevation increased increase decay-classes,while class Ⅳ slightly lower adjacent classes;soil quality significantly T.longibracteata + Rhododendron simiarum forest,and pure forest.This research...

10.3724/sp.j.1145.2013.00168 article EN Chinese Journal of Appplied Environmental Biology 2013-12-13

Abstract Identification of the fire risk area at county level is key spatial unit for local forest resource protection and prevention. However, current methods standards focus on rating a national scale which are not necessarily applicable level. Wuyishan county-level city in southeastern China, rich resources important biodiversity conservation. We used binary logistic regression (BLR) model geographically weighted (GWLR) to examine indicators occurrence map zones study based historical...

10.21203/rs.3.rs-339033/v1 preprint EN cc-by Research Square (Research Square) 2021-04-05
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