Spatiotemporal Variations of Forest Vegetation Phenology and Its Response to Climate Change in Northeast China DOI Creative Commons

Wenrui Zheng,

Yuqi Liu, Xiguang Yang

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(12), P. 2909 - 2909

Published: June 17, 2022

Vegetation phenology is an important indicator of vegetation dynamics. The boreal forest ecosystem the main part terrestrial in Northern Hemisphere and plays role global carbon balance. In this study, dynamic threshold method combined with ground-based observation data was applied to extract phenological parameters from MODIS NDVI time-series. Then, spatiotemporal variation discussed relationship between change climatic factors concluded northeast China 2011 2020. results indicated that distribution optimal extraction has spatial heterogeneity, changing rate 3% 2% 1° increase latitude for SOS (the start growing season) EOS end season). This research also notes had advanced trend at a 0.29 d/a while delayed by 0.47 d/a. varied different types. We found preseason temperature played major effecting phenology. winter previous year significant effect on current year. Temperature autumn EOS.

Language: Английский

Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes DOI Creative Commons
Qianfeng Wang,

Huixia Chen,

Feng Xu

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 16, 2024

Abstract Previous studies have primarily focused on the influence of temperature and precipitation phenology. It is unclear if easily ignored climate factors with drivers vegetation growth can effect In this research, we conducted an analysis start (SOS) end (EOS) growing seasons in northern region China above 30°N from 1982 to 2014, focusing two-season We examined response phenology different types preseason climatic factors, including relative humidity (RH), shortwave radiation (SR), maximum (Tmax), minimum (Tmin). Our findings reveal that optimal influencing length fell within range 0–60 days most areas. Specifically, SOS exhibited a significant negative correlation Tmax Tmin 44.15% 42.25% areas, respectively, while EOS displayed SR 49.03% Additionally, identified RH emerged as dominant factor savanna (SA), whereas strongly controlled deciduous needleleaf forest (DNF) broadleaf (DBF). Meanwhile, DNF was influenced by Tmax. conclusion, study provides valuable insights into how various adapt change, offering scientific basis for implementing effective adaptation measures.

Language: Английский

Citations

5
Spatiotemporal patterns of remotely sensed phenology and their response to climate change and topography in subtropical bamboo forests during 2001-2017: a case study in Zhejiang Province, China DOI Creative Commons
Xuejian Li, Huaqiang Du, Guomo Zhou

et al.

GIScience & Remote Sensing, Journal Year: 2023, Volume and Issue: 60(1)

Published: Jan. 3, 2023

Vegetation phenology has long been adapted to environmental change and is highly sensitive climate change. Shifts in also affect feedbacks of vegetation factors such as topography by influencing spatiotemporal fluctuations productivity, carbon fixation, the water cycle. However, there are limited studies which explores combined effects terrain on phenology. Bamboo forests exhibit outstanding phenological phenomena play an important role maintaining global balance Therefore, interaction mechanisms bamboo forest were analyzed Zhejiang Province, China during 2001–2017. The partial least squares path model was applied clarify interplay between impacts under land cover/use results revealed that average start date growing season (SOS) significantly advanced 0.81 days annually, end (EOS) delayed 0.27 length (LOS) increased 1.08 annually. There obvious spatial differences correlation coefficients metrics. Although SOS, EOS LOS affected different climatic factors, precipitation dominant factor. Due sensitivity SOS precipitation, a 100 mm increase regional annual would cause advance 0.18 be 0.12 days. Regarding affecting conditions, clear influences altitudes, slopes aspect gradients This study further showed topographic mainly interannual variations metrics precipitation. clarified pattern interactive vegetative this information crucial assessing impact sequestration potential forests.

Language: Английский

Citations

13
Phylogeography, morphometry and the species distribution modelling in Myotis longicaudatus (Chiroptera, Vespertilionidae) in the Eastern Palaearctic DOI
Denis V. Kazakov, Sergei V. Kruskop,

Kuniko Kawai

et al.

Mammal Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Language: Английский

Citations

0
Predicting end-of-season timing across diverse North American grasslands DOI
Alison K. Post, Andrew D. Richardson

Oecologia, Journal Year: 2025, Volume and Issue: 207(3)

Published: March 1, 2025

Language: Английский

Citations

0
Earlier Spring Onset Induced by Increased Autumn Precipitation Dominates Advance in Peak of Season on the Tibetan Plateau DOI Open Access
Xiaoting Li, Wei Guo, Shuheng Li

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 2, 2025

ABSTRACT Vegetation phenology is a response to finely tuned interplay between different climatic constraints and thus critical indicator of vegetation –climate interaction. The rapidly changing climate on the Tibetan Plateau (TP) alters start growing season (SOS), but little known regarding following timing dynamics peak (POS) phenology. In present study, we used 2000–2018 Moderate Resolution Imaging Spectroradiometer (MODIS) derived normalized difference index (NDVI) for land surface (LSP) tracking analyzed SOS POS over time against changes in alpine grassland TP. We found non‐significant advancing trends from 2000 2018, while spatial heterogeneity existed with delayed trend steppe area western This widespread yet weak delaying areas was mainly due decline autumn precipitation previous year despite increase spring temperature, given negative correlations precipitation. addition, were most important factors leading variations POS, respectively. These findings suggest that high water availability accumulated may hasten could lead an earlier grasslands. Water phenological carryover effect regulate interannual spring–summer Plateau. However, LSP likely amplify further consideration variability types.

Language: Английский

Citations

0
Tree profile equations are significantly improved when adding tree age and stocking degree: an example for Larix gmelinii in the Greater Khingan Mountains of Inner Mongolia, northeast China DOI
Yang Liu, Chaofang Yue, Xiaohua Wei

et al.

European Journal of Forest Research, Journal Year: 2020, Volume and Issue: 139(3), P. 443 - 458

Published: Feb. 3, 2020

Language: Английский

Citations

32
Trends in vegetation productivity related to climate change in China’s Pearl River Delta DOI Creative Commons
Sawaid Abbas, Janet E. Nichol, Man Sing Wong

et al.

PLoS ONE, Journal Year: 2021, Volume and Issue: 16(2), P. e0245467 - e0245467

Published: Feb. 24, 2021

Climate change will be a powerful stressor on ecosystems and biodiversity in the second half of 21 st century. In this study, we used satellite-derived Normalized Difference Vegetation Index (NDVI) to examine 34-year trend along with response vegetation climate indicators surrounding world’s largest megacity: Pearl River Delta (PRD) China. An overall increasing is observed productivity metrics over study period 1982 2015. Increase winter both natural croplands more related temperatures (r = 0.5–0.78), than changes rainfall. For growing season productivity, negative correlations temperature were cropland regions, some forests northern part PRD region, suggesting high-temperature stress crop production forest vegetation. However, increased spring provide higher opportunities for cropping winter. During decade 1995–2004, showed reversal upward trend. The geographical biological complexity region under significant climatic development impacts suggests causative factors would synergistic. These include our decrease sunshine hours, cloud cover associated atmospheric aerosols from industrial urban development, direct pollution effects plant growth, exceedance high growth thresholds.

Language: Английский

Citations

25
Land cover composition, climate, and topography drive land surface phenology in a recently burned landscape: An application of machine learning in phenological modeling DOI Creative Commons
Jianmin Wang, Xiaoyang Zhang, Kyle C. Rodman

et al.

Agricultural and Forest Meteorology, Journal Year: 2021, Volume and Issue: 304-305, P. 108432 - 108432

Published: April 18, 2021

Language: Английский

Citations

25
Variations in land surface phenology and their response to climate change in Yangtze River basin during 1982–2015 DOI

Moxi Yuan,

Lunche Wang,

Aiwen Lin

et al.

Theoretical and Applied Climatology, Journal Year: 2018, Volume and Issue: 137(3-4), P. 1659 - 1674

Published: Nov. 8, 2018

Language: Английский

Citations

30
Evaluating k-Nearest Neighbor (kNN) Imputation Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China DOI Creative Commons
Yuanyuan Fu, Hong S. He, Todd J. Hawbaker

et al.

Remote Sensing, Journal Year: 2019, Volume and Issue: 11(17), P. 2005 - 2005

Published: Aug. 25, 2019

Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring carbon sequestration capacity, assessing balance, and revealing changes in the structure function of ecosystems. When AFB measured at species level using widely available remote sensing data, regional composition can readily be monitored. In this study, wall-to-wall maps species-level were generated forests Northeast China by integrating inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images environmental variables through applying optimal k-nearest neighbor (kNN) imputation model. By comparing prediction accuracy 630 kNN models, we found that models random (RF) as distance metric showed highest accuracy. Compared to use single-month MODIS September, there was no appreciable improvement estimation multi-month data. k > 7, RF-based single predictors September essentially negligible. Therefore, model RF metric, (September) = 7 impute entire China. Our results average all over 101.98 Mg/ha around 2000. Among 17 widespread species, larch most dominant, largest (20.88 Mg/ha), followed white birch (13.84 Mg/ha). Amur corktree willow had low (0.91 0.96 Mg/ha, respectively). Environmental (e.g., climate topography) strong relationships AFB. complete spatial coverage model, successfully mapped distribution tree We also evaluated different scales. The significantly improved from stand up ecotype level, indicating study are more suitable apply ecosystem LINKAGES) which require attributes scale.

Language: Английский

Citations

27