{"title":"Spring temperature and snow cover co-regulate variations of forest phenology in Changbai Mountains, Northeast China","authors":"Shuai Chang, Hong S. He, Fang Huang, Justin Krohn","doi":"10.1007/s10342-023-01642-0","DOIUrl":null,"url":null,"abstract":"<p>Forest phenology is undergoing significant changes as a consequence of climate warming, something which is further complicated by snow cover phenology. While previous research has shown tight links between climate factors, snow cover and forest phenology changes, the relative importance of climate and snow cover on forest phenology has not yet been fully quantified. Here, we analyzed the variations of forest phenology and the influences of different factors on the changes of forest phenology in Changbai Mountains from 2001 to 2019. We extracted forest phenology [start of growing season (SOS), length of growing season (LOS) and annual maximum NDVI (NDVI<sub>max</sub>, indicating peak growth)] using MODIS NDVI and analyzed their spatio-temporal patterns. We found advanced SOS (− 0.4 days/year), prolonged LOS (0.84 days/year) and enhanced peak growth (0.002 year<sup>−1</sup>) of forest at the regional scale. Then we analyzed the effects and relative importance of seasonal climatic factors and snow cover phenology on variations of forest phenology changes. The results indicated that spring temperature was the most important factor causing forest phenology changes. Snow cover duration and snow cover end day also played key roles on forest phenology changes. Snow cover end day showed positive influence on SOS and negative influence on LOS and peak growth. Spatially, the dominant factors affecting forest phenology varied among hydrothermal gradients. Our study provides useful insights on assessment and quantify the influences of climatic factors and snow on forest phenology, which are essential to predict the response of forests under global warming.</p>","PeriodicalId":11996,"journal":{"name":"European Journal of Forest Research","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Forest Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s10342-023-01642-0","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
Forest phenology is undergoing significant changes as a consequence of climate warming, something which is further complicated by snow cover phenology. While previous research has shown tight links between climate factors, snow cover and forest phenology changes, the relative importance of climate and snow cover on forest phenology has not yet been fully quantified. Here, we analyzed the variations of forest phenology and the influences of different factors on the changes of forest phenology in Changbai Mountains from 2001 to 2019. We extracted forest phenology [start of growing season (SOS), length of growing season (LOS) and annual maximum NDVI (NDVImax, indicating peak growth)] using MODIS NDVI and analyzed their spatio-temporal patterns. We found advanced SOS (− 0.4 days/year), prolonged LOS (0.84 days/year) and enhanced peak growth (0.002 year−1) of forest at the regional scale. Then we analyzed the effects and relative importance of seasonal climatic factors and snow cover phenology on variations of forest phenology changes. The results indicated that spring temperature was the most important factor causing forest phenology changes. Snow cover duration and snow cover end day also played key roles on forest phenology changes. Snow cover end day showed positive influence on SOS and negative influence on LOS and peak growth. Spatially, the dominant factors affecting forest phenology varied among hydrothermal gradients. Our study provides useful insights on assessment and quantify the influences of climatic factors and snow on forest phenology, which are essential to predict the response of forests under global warming.
期刊介绍:
The European Journal of Forest Research focuses on publishing innovative results of empirical or model-oriented studies which contribute to the development of broad principles underlying forest ecosystems, their functions and services.
Papers which exclusively report methods, models, techniques or case studies are beyond the scope of the journal, while papers on studies at the molecular or cellular level will be considered where they address the relevance of their results to the understanding of ecosystem structure and function. Papers relating to forest operations and forest engineering will be considered if they are tailored within a forest ecosystem context.