{"title":"评估恢复期间热带森林结构、冠层闭合和地上碳的恢复:比较传统与基于仪器的指标","authors":"Waiprach Suwannarat , Stephen Elliott , Worayut Takaew , Pornpawee Laohasom , Watit Khokthong","doi":"10.1016/j.tfp.2025.100928","DOIUrl":null,"url":null,"abstract":"<div><div>Carbon accumulation and structural development are key indicators of the progress of forest-ecosystem restoration. However current techniques of quantifying them are time-consuming, labor-intensive and costly. Therefore, we tested four instrument-based metrics (vegetation area index (VAI) from terrestrial LiDAR (light detection and ranging), leaf area index (LAI) from a plant-canopy analyser, and canopy cover, from both hemispherical photography (CC_HP) and a densiometer (CC_D)), as alternatives to conventional metrics (above-ground carbon (AGC), tree stocking density (TSD) and basal area (BA)), derived from manual measurements of trees. The study sites were: a control (pre-restoration conditions), 1½- and 11½-year-old forest, both undergoing restoration by the framework species method (FSM), and primary forest of indeterminate age (restoration target). VAI, LAI and CC_D, clearly distinguished among the control site and 1½- and 11½-year-old-restoration (<em>P</em> < 0.05). CC_HP failed to distinguish the control plot from young restoration. All four metrics correlated well (<em>r</em> <em>=</em> 0.58–0.80) with conventional metrics (above-ground carbon (AGC), tree stocking density (TSD) and basal area (BA)), when data were combined across all plots, although plot-level correlations weakened, with increasing structural development. Furthermore, the instrument-based metrics failed to reflect a doubling in AGC between 11½-year-old restoration and the reference forest, by under-estimating increases in structural development beyond canopy closure. CC_D is recommended for monitoring structural development, during early forest restoration, due to its cost-effectiveness, ease of use and minimal disturbance of the forest understory. After canopy closure, AGC remains the most useful metric to gauge how closely restoration achieves reference-forest structure. After 11½ years of implementing the FSM, AGC had reached 49 % (65.9 tC/ha, ±SD 30.44) of the reference forest level (137.4 tC/ha, ±SD 83.19).</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"21 ","pages":"Article 100928"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the recovery of tropical forest structure, canopy closure and above-ground carbon during restoration: Comparing conventional with instrument-based metrics\",\"authors\":\"Waiprach Suwannarat , Stephen Elliott , Worayut Takaew , Pornpawee Laohasom , Watit Khokthong\",\"doi\":\"10.1016/j.tfp.2025.100928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Carbon accumulation and structural development are key indicators of the progress of forest-ecosystem restoration. However current techniques of quantifying them are time-consuming, labor-intensive and costly. Therefore, we tested four instrument-based metrics (vegetation area index (VAI) from terrestrial LiDAR (light detection and ranging), leaf area index (LAI) from a plant-canopy analyser, and canopy cover, from both hemispherical photography (CC_HP) and a densiometer (CC_D)), as alternatives to conventional metrics (above-ground carbon (AGC), tree stocking density (TSD) and basal area (BA)), derived from manual measurements of trees. The study sites were: a control (pre-restoration conditions), 1½- and 11½-year-old forest, both undergoing restoration by the framework species method (FSM), and primary forest of indeterminate age (restoration target). VAI, LAI and CC_D, clearly distinguished among the control site and 1½- and 11½-year-old-restoration (<em>P</em> < 0.05). CC_HP failed to distinguish the control plot from young restoration. All four metrics correlated well (<em>r</em> <em>=</em> 0.58–0.80) with conventional metrics (above-ground carbon (AGC), tree stocking density (TSD) and basal area (BA)), when data were combined across all plots, although plot-level correlations weakened, with increasing structural development. Furthermore, the instrument-based metrics failed to reflect a doubling in AGC between 11½-year-old restoration and the reference forest, by under-estimating increases in structural development beyond canopy closure. CC_D is recommended for monitoring structural development, during early forest restoration, due to its cost-effectiveness, ease of use and minimal disturbance of the forest understory. After canopy closure, AGC remains the most useful metric to gauge how closely restoration achieves reference-forest structure. After 11½ years of implementing the FSM, AGC had reached 49 % (65.9 tC/ha, ±SD 30.44) of the reference forest level (137.4 tC/ha, ±SD 83.19).</div></div>\",\"PeriodicalId\":36104,\"journal\":{\"name\":\"Trees, Forests and People\",\"volume\":\"21 \",\"pages\":\"Article 100928\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trees, Forests and People\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666719325001542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trees, Forests and People","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666719325001542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
Assessing the recovery of tropical forest structure, canopy closure and above-ground carbon during restoration: Comparing conventional with instrument-based metrics
Carbon accumulation and structural development are key indicators of the progress of forest-ecosystem restoration. However current techniques of quantifying them are time-consuming, labor-intensive and costly. Therefore, we tested four instrument-based metrics (vegetation area index (VAI) from terrestrial LiDAR (light detection and ranging), leaf area index (LAI) from a plant-canopy analyser, and canopy cover, from both hemispherical photography (CC_HP) and a densiometer (CC_D)), as alternatives to conventional metrics (above-ground carbon (AGC), tree stocking density (TSD) and basal area (BA)), derived from manual measurements of trees. The study sites were: a control (pre-restoration conditions), 1½- and 11½-year-old forest, both undergoing restoration by the framework species method (FSM), and primary forest of indeterminate age (restoration target). VAI, LAI and CC_D, clearly distinguished among the control site and 1½- and 11½-year-old-restoration (P < 0.05). CC_HP failed to distinguish the control plot from young restoration. All four metrics correlated well (r= 0.58–0.80) with conventional metrics (above-ground carbon (AGC), tree stocking density (TSD) and basal area (BA)), when data were combined across all plots, although plot-level correlations weakened, with increasing structural development. Furthermore, the instrument-based metrics failed to reflect a doubling in AGC between 11½-year-old restoration and the reference forest, by under-estimating increases in structural development beyond canopy closure. CC_D is recommended for monitoring structural development, during early forest restoration, due to its cost-effectiveness, ease of use and minimal disturbance of the forest understory. After canopy closure, AGC remains the most useful metric to gauge how closely restoration achieves reference-forest structure. After 11½ years of implementing the FSM, AGC had reached 49 % (65.9 tC/ha, ±SD 30.44) of the reference forest level (137.4 tC/ha, ±SD 83.19).