Mengxi Wang , Haben Blondeel , Hans Verbeeck , Kim Calders , Shilin Chen , Tom Verhelst , Kris Verheyen , Frieke Van Coillie
{"title":"幼林树木生产力对多样性效应的物种特异性响应:来自陆地激光扫描的见解","authors":"Mengxi Wang , Haben Blondeel , Hans Verbeeck , Kim Calders , Shilin Chen , Tom Verhelst , Kris Verheyen , Frieke Van Coillie","doi":"10.1016/j.foreco.2025.122962","DOIUrl":null,"url":null,"abstract":"<div><div>Tree productivity is crucial for maintaining forest ecosystem functioning, yet the specific pathways by which species diversity, stand structure, and community interactions impact species-specific tree productivity in young planted forests remain inadequately explored. Most studies focus on stand-level productivity, though individual trees may perform differently. This study analyzed 120 individual trees, obtained through terrestrial laser scanning from 16 plots in a tree diversity experiment, to examine how tree mixing influences tree productivity of birch (<em>Betula pendula</em>), oak (<em>Quercus robur</em>), and beech (<em>Fagus sylvatica</em>). The 12-year-old experimental plots, located in Belgium, included monocultures, two-species mixtures, and four-species mixtures, each with one replicate. Quantitative Structure Models were used to reconstruct individual trees and measure tree volume, providing productivity estimates independent from unreliable allometries. The mean annual increment for total tree volume was determined as the tree productivity indicator. Structural Equation Models revealed that species diversity and community interactions were the main factors driving tree productivity, while the impact of forest structure was not significant. Species-specifically, the growth of birch and oak was significantly suppressed by functional dissimilarity, community-weighted mean growth rate, and local competition. This highlighted the critical role of neighborhood composition, particularly the size and growth rate of neighboring trees, on individual tree performance. Beech, however, showed no significant response to these factors. Our findings emphasized the crucial role of species diversity and community interactions in influencing tree productivity in young planted forests, highlighting the importance of considering species-specific responses in plantation design and management to enhance forest productivity.</div></div>","PeriodicalId":12350,"journal":{"name":"Forest Ecology and Management","volume":"594 ","pages":"Article 122962"},"PeriodicalIF":3.7000,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Species-specific responses of tree productivity to diversity effects in young planted forests: Insights from terrestrial laser scanning\",\"authors\":\"Mengxi Wang , Haben Blondeel , Hans Verbeeck , Kim Calders , Shilin Chen , Tom Verhelst , Kris Verheyen , Frieke Van Coillie\",\"doi\":\"10.1016/j.foreco.2025.122962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Tree productivity is crucial for maintaining forest ecosystem functioning, yet the specific pathways by which species diversity, stand structure, and community interactions impact species-specific tree productivity in young planted forests remain inadequately explored. Most studies focus on stand-level productivity, though individual trees may perform differently. This study analyzed 120 individual trees, obtained through terrestrial laser scanning from 16 plots in a tree diversity experiment, to examine how tree mixing influences tree productivity of birch (<em>Betula pendula</em>), oak (<em>Quercus robur</em>), and beech (<em>Fagus sylvatica</em>). The 12-year-old experimental plots, located in Belgium, included monocultures, two-species mixtures, and four-species mixtures, each with one replicate. Quantitative Structure Models were used to reconstruct individual trees and measure tree volume, providing productivity estimates independent from unreliable allometries. The mean annual increment for total tree volume was determined as the tree productivity indicator. Structural Equation Models revealed that species diversity and community interactions were the main factors driving tree productivity, while the impact of forest structure was not significant. Species-specifically, the growth of birch and oak was significantly suppressed by functional dissimilarity, community-weighted mean growth rate, and local competition. This highlighted the critical role of neighborhood composition, particularly the size and growth rate of neighboring trees, on individual tree performance. Beech, however, showed no significant response to these factors. Our findings emphasized the crucial role of species diversity and community interactions in influencing tree productivity in young planted forests, highlighting the importance of considering species-specific responses in plantation design and management to enhance forest productivity.</div></div>\",\"PeriodicalId\":12350,\"journal\":{\"name\":\"Forest Ecology and Management\",\"volume\":\"594 \",\"pages\":\"Article 122962\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forest Ecology and Management\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378112725004700\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Ecology and Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378112725004700","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
Species-specific responses of tree productivity to diversity effects in young planted forests: Insights from terrestrial laser scanning
Tree productivity is crucial for maintaining forest ecosystem functioning, yet the specific pathways by which species diversity, stand structure, and community interactions impact species-specific tree productivity in young planted forests remain inadequately explored. Most studies focus on stand-level productivity, though individual trees may perform differently. This study analyzed 120 individual trees, obtained through terrestrial laser scanning from 16 plots in a tree diversity experiment, to examine how tree mixing influences tree productivity of birch (Betula pendula), oak (Quercus robur), and beech (Fagus sylvatica). The 12-year-old experimental plots, located in Belgium, included monocultures, two-species mixtures, and four-species mixtures, each with one replicate. Quantitative Structure Models were used to reconstruct individual trees and measure tree volume, providing productivity estimates independent from unreliable allometries. The mean annual increment for total tree volume was determined as the tree productivity indicator. Structural Equation Models revealed that species diversity and community interactions were the main factors driving tree productivity, while the impact of forest structure was not significant. Species-specifically, the growth of birch and oak was significantly suppressed by functional dissimilarity, community-weighted mean growth rate, and local competition. This highlighted the critical role of neighborhood composition, particularly the size and growth rate of neighboring trees, on individual tree performance. Beech, however, showed no significant response to these factors. Our findings emphasized the crucial role of species diversity and community interactions in influencing tree productivity in young planted forests, highlighting the importance of considering species-specific responses in plantation design and management to enhance forest productivity.
期刊介绍:
Forest Ecology and Management publishes scientific articles linking forest ecology with forest management, focusing on the application of biological, ecological and social knowledge to the management and conservation of plantations and natural forests. The scope of the journal includes all forest ecosystems of the world.
A peer-review process ensures the quality and international interest of the manuscripts accepted for publication. The journal encourages communication between scientists in disparate fields who share a common interest in ecology and forest management, bridging the gap between research workers and forest managers.
We encourage submission of papers that will have the strongest interest and value to the Journal''s international readership. Some key features of papers with strong interest include:
1. Clear connections between the ecology and management of forests;
2. Novel ideas or approaches to important challenges in forest ecology and management;
3. Studies that address a population of interest beyond the scale of single research sites, Three key points in the design of forest experiments, Forest Ecology and Management 255 (2008) 2022-2023);
4. Review Articles on timely, important topics. Authors are welcome to contact one of the editors to discuss the suitability of a potential review manuscript.
The Journal encourages proposals for special issues examining important areas of forest ecology and management. Potential guest editors should contact any of the Editors to begin discussions about topics, potential papers, and other details.