Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>

Global warming significantly affects forest ecosystems in the Northern Hemisphere’s mid-to-high latitudes, altering tree growth, productivity, and spatial distribution. Additionally, spatial and temporal heterogeneity exists in the responses of different tree species to climate change. This research...

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Main Authors: Bingyun Du, Zeqiang Wang, Xiangyou Li, Xi Zhang, Xuetong Wang, Dongyou Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/15/2/283
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author Bingyun Du
Zeqiang Wang
Xiangyou Li
Xi Zhang
Xuetong Wang
Dongyou Zhang
author_facet Bingyun Du
Zeqiang Wang
Xiangyou Li
Xi Zhang
Xuetong Wang
Dongyou Zhang
author_sort Bingyun Du
collection DOAJ
description Global warming significantly affects forest ecosystems in the Northern Hemisphere’s mid-to-high latitudes, altering tree growth, productivity, and spatial distribution. Additionally, spatial and temporal heterogeneity exists in the responses of different tree species to climate change. This research focuses on two key species in China’s Greater Khingan Range: <i>Larix gmelinii</i> (Rupr.) Kuzen. (Pinaceae) and <i>Quercus mongolica</i> Fisch. ex Ledeb. (Fagaceae). We utilized a Maxent model optimized by the kuenm R package to predict the species’ potential habitats under various future climate scenarios (2050s and 2070s) considering three distinct Shared Socioeconomic Pathways: SSP1-2.6, SSP2-4.5, and SSP5-8.5. We analyzed 313 distribution records and 15 environmental variables and employed geospatial analysis to assess habitat requirements and migration strategies. The Maxent model demonstrated high predictive accuracy, with Area Under the Curve (AUC) values of 0.921 for <i>Quercus mongolica</i> and 0.985 for <i>Larix gmelinii</i>. The high accuracy was achieved by adjusting the regularization multipliers and feature combinations. Key factors influencing the habitat of <i>Larix gmelinii</i> included the mean temperature of the coldest season (BIO11), mean temperature of the warmest season (BIO10), and precipitation of the driest quarter (BIO17). Conversely, <i>Quercus mongolica’s</i> habitat suitability was largely affected by annual mean temperature (BIO1), elevation, and annual precipitation (BIO12). These results indicate divergent adaptive responses to climate change. <i>Quercus mongolica’s</i> habitable area generally increased in all scenarios, especially under SSP5-8.5, whereas <i>Larix gmelinii</i> experienced more complex habitat changes. Both species’ distribution centroids are expected to shift northwestward. Our study provides insights into the divergent responses of coniferous and broadleaf species in the Greater Khingan Range to climate change, contributing scientific information vital to conserving and managing the area’s forest ecosystems.
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spelling doaj.art-86edd2709be7473787a7410da9a60b6c2024-02-23T15:16:50ZengMDPI AGForests1999-49072024-02-0115228310.3390/f15020283Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>Bingyun Du0Zeqiang Wang1Xiangyou Li2Xi Zhang3Xuetong Wang4Dongyou Zhang5Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, ChinaHeilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, ChinaHeilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, ChinaHeilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, ChinaHeilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, ChinaHeilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, ChinaGlobal warming significantly affects forest ecosystems in the Northern Hemisphere’s mid-to-high latitudes, altering tree growth, productivity, and spatial distribution. Additionally, spatial and temporal heterogeneity exists in the responses of different tree species to climate change. This research focuses on two key species in China’s Greater Khingan Range: <i>Larix gmelinii</i> (Rupr.) Kuzen. (Pinaceae) and <i>Quercus mongolica</i> Fisch. ex Ledeb. (Fagaceae). We utilized a Maxent model optimized by the kuenm R package to predict the species’ potential habitats under various future climate scenarios (2050s and 2070s) considering three distinct Shared Socioeconomic Pathways: SSP1-2.6, SSP2-4.5, and SSP5-8.5. We analyzed 313 distribution records and 15 environmental variables and employed geospatial analysis to assess habitat requirements and migration strategies. The Maxent model demonstrated high predictive accuracy, with Area Under the Curve (AUC) values of 0.921 for <i>Quercus mongolica</i> and 0.985 for <i>Larix gmelinii</i>. The high accuracy was achieved by adjusting the regularization multipliers and feature combinations. Key factors influencing the habitat of <i>Larix gmelinii</i> included the mean temperature of the coldest season (BIO11), mean temperature of the warmest season (BIO10), and precipitation of the driest quarter (BIO17). Conversely, <i>Quercus mongolica’s</i> habitat suitability was largely affected by annual mean temperature (BIO1), elevation, and annual precipitation (BIO12). These results indicate divergent adaptive responses to climate change. <i>Quercus mongolica’s</i> habitable area generally increased in all scenarios, especially under SSP5-8.5, whereas <i>Larix gmelinii</i> experienced more complex habitat changes. Both species’ distribution centroids are expected to shift northwestward. Our study provides insights into the divergent responses of coniferous and broadleaf species in the Greater Khingan Range to climate change, contributing scientific information vital to conserving and managing the area’s forest ecosystems.https://www.mdpi.com/1999-4907/15/2/283global warmingMaxentGISpotential habitatsparameter optimization
spellingShingle Bingyun Du
Zeqiang Wang
Xiangyou Li
Xi Zhang
Xuetong Wang
Dongyou Zhang
Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>
Forests
global warming
Maxent
GIS
potential habitats
parameter optimization
title Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>
title_full Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>
title_fullStr Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>
title_full_unstemmed Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>
title_short Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between <i>Larix gmelinii</i> and <i>Quercus mongolica</i>
title_sort adaptation of tree species in the greater khingan range under climate change ecological strategy differences between i larix gmelinii i and i quercus mongolica i
topic global warming
Maxent
GIS
potential habitats
parameter optimization
url https://www.mdpi.com/1999-4907/15/2/283
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