David I. Forrester , Jacqueline R. England , Chiara Pasut , Keryn I. Paul , Lauren T. Bennett , Chris Eastaugh , Thomas Fairman , Melissa Fedrigo , Carl R. Gosper , Sabine Kasel , Tom Lewis , Crispen Marunda , Victor J. Neldner , Michael R. Ngugi , Alison O’Donnell , Gerald F.M. Page , Suzanne M. Prober , Anna E. Richards , Shaun Suitor , Liubov Volkova , Ying-Ping Wang
{"title":"澳洲原生植被FullCAM模型的校正","authors":"David I. Forrester , Jacqueline R. England , Chiara Pasut , Keryn I. Paul , Lauren T. Bennett , Chris Eastaugh , Thomas Fairman , Melissa Fedrigo , Carl R. Gosper , Sabine Kasel , Tom Lewis , Crispen Marunda , Victor J. Neldner , Michael R. Ngugi , Alison O’Donnell , Gerald F.M. Page , Suzanne M. Prober , Anna E. Richards , Shaun Suitor , Liubov Volkova , Ying-Ping Wang","doi":"10.1016/j.ecolmodel.2025.111204","DOIUrl":null,"url":null,"abstract":"<div><div>The Full Carbon Accounting Model (FullCAM) simulates carbon (C) pools of live biomass, standing dead mass, debris and soil, the flows among them and the atmosphere, and the influences of fire and harvesting disturbances under Australian conditions. It is regularly used by governments, landowners, companies and researchers, at continental, regional and local scales. Recently, FullCAM was calibrated for seven categories of native tropical savanna vegetation. However, for non-savanna native vegetation, calibrated parameters are available for only two general vegetation categories, based on whether the annual rainfall exceeds or falls below 500 mm. These two categories are too broad to capture the large range of growth conditions, vegetation structures and species assemblages that occur across Australia’s native woody vegetation. Here, our objective was to improve FullCAM’s ability to model variation in C pools and post-disturbance recovery among eight native vegetation categories, from shrublands to rainforests, for which there were differences in biomass allocation, litterfall and/or decomposition. To do this, we calibrated FullCAM for each vegetation type, including 14 parameters that were calculated directly from field observations and 17 that were calibrated using a dataset containing about 9300 field plots with measurements of at least one woody vegetation C stock. New parameters (compared with the two general parameter sets) reduced bias from 77 to 25 % (averaged across C stocks), and root mean square error from 44 to 30 Mg C ha<sup>-1</sup>. Model accuracy could be further improved (i) by focusing on sites with a known disturbance history, (ii) calibrating as many vegetation categories as possible (instead of eight categories generalising across many species), and (iii) adding more detail to growth calculations to quantify factors that may not be adequately represented by FullCAM’s growth equation.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"508 ","pages":"Article 111204"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calibration of the FullCAM model for Australian native vegetation\",\"authors\":\"David I. Forrester , Jacqueline R. England , Chiara Pasut , Keryn I. Paul , Lauren T. Bennett , Chris Eastaugh , Thomas Fairman , Melissa Fedrigo , Carl R. Gosper , Sabine Kasel , Tom Lewis , Crispen Marunda , Victor J. Neldner , Michael R. Ngugi , Alison O’Donnell , Gerald F.M. Page , Suzanne M. Prober , Anna E. Richards , Shaun Suitor , Liubov Volkova , Ying-Ping Wang\",\"doi\":\"10.1016/j.ecolmodel.2025.111204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Full Carbon Accounting Model (FullCAM) simulates carbon (C) pools of live biomass, standing dead mass, debris and soil, the flows among them and the atmosphere, and the influences of fire and harvesting disturbances under Australian conditions. It is regularly used by governments, landowners, companies and researchers, at continental, regional and local scales. Recently, FullCAM was calibrated for seven categories of native tropical savanna vegetation. However, for non-savanna native vegetation, calibrated parameters are available for only two general vegetation categories, based on whether the annual rainfall exceeds or falls below 500 mm. These two categories are too broad to capture the large range of growth conditions, vegetation structures and species assemblages that occur across Australia’s native woody vegetation. Here, our objective was to improve FullCAM’s ability to model variation in C pools and post-disturbance recovery among eight native vegetation categories, from shrublands to rainforests, for which there were differences in biomass allocation, litterfall and/or decomposition. To do this, we calibrated FullCAM for each vegetation type, including 14 parameters that were calculated directly from field observations and 17 that were calibrated using a dataset containing about 9300 field plots with measurements of at least one woody vegetation C stock. New parameters (compared with the two general parameter sets) reduced bias from 77 to 25 % (averaged across C stocks), and root mean square error from 44 to 30 Mg C ha<sup>-1</sup>. Model accuracy could be further improved (i) by focusing on sites with a known disturbance history, (ii) calibrating as many vegetation categories as possible (instead of eight categories generalising across many species), and (iii) adding more detail to growth calculations to quantify factors that may not be adequately represented by FullCAM’s growth equation.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"508 \",\"pages\":\"Article 111204\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380025001899\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025001899","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
全碳计算模型(FullCAM)模拟了澳大利亚条件下的活生物量、死质量、碎片和土壤的碳(C)池,它们之间的流动和大气,以及火灾和收获干扰的影响。它经常被政府、土地所有者、公司和研究人员在大陆、区域和地方范围内使用。最近,FullCAM针对七种原生热带稀树草原植被进行了校准。然而,对于非稀树草原原生植被,基于年降雨量是否超过或低于500毫米,只有两种一般植被类别可获得校准参数。这两个类别过于宽泛,无法捕捉到澳大利亚本土木本植被的大范围生长条件、植被结构和物种组合。在这里,我们的目标是提高FullCAM在生物量分配、凋落物和/或分解方面存在差异的8种原生植被类别(从灌丛到雨林)中模拟C库变化和干扰后恢复的能力。为此,我们对每种植被类型的FullCAM进行了校准,包括14个直接从野外观测中计算的参数,以及17个使用包含约9300个野外地块的数据集校准的参数,这些地块至少测量了一种木本植被C群。新参数(与两个一般参数集相比)将偏差从77%降低到25%(在C种群中平均),均方根误差从44 Mg C ha-1降低到30 Mg C ha-1。模型精度可以进一步提高(i)通过关注已知扰动历史的地点,(ii)校准尽可能多的植被类别(而不是在许多物种中概括八个类别),以及(iii)在生长计算中添加更多细节,以量化FullCAM生长方程可能无法充分表示的因素。
Calibration of the FullCAM model for Australian native vegetation
The Full Carbon Accounting Model (FullCAM) simulates carbon (C) pools of live biomass, standing dead mass, debris and soil, the flows among them and the atmosphere, and the influences of fire and harvesting disturbances under Australian conditions. It is regularly used by governments, landowners, companies and researchers, at continental, regional and local scales. Recently, FullCAM was calibrated for seven categories of native tropical savanna vegetation. However, for non-savanna native vegetation, calibrated parameters are available for only two general vegetation categories, based on whether the annual rainfall exceeds or falls below 500 mm. These two categories are too broad to capture the large range of growth conditions, vegetation structures and species assemblages that occur across Australia’s native woody vegetation. Here, our objective was to improve FullCAM’s ability to model variation in C pools and post-disturbance recovery among eight native vegetation categories, from shrublands to rainforests, for which there were differences in biomass allocation, litterfall and/or decomposition. To do this, we calibrated FullCAM for each vegetation type, including 14 parameters that were calculated directly from field observations and 17 that were calibrated using a dataset containing about 9300 field plots with measurements of at least one woody vegetation C stock. New parameters (compared with the two general parameter sets) reduced bias from 77 to 25 % (averaged across C stocks), and root mean square error from 44 to 30 Mg C ha-1. Model accuracy could be further improved (i) by focusing on sites with a known disturbance history, (ii) calibrating as many vegetation categories as possible (instead of eight categories generalising across many species), and (iii) adding more detail to growth calculations to quantify factors that may not be adequately represented by FullCAM’s growth equation.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).