Carbon storage and sequestration in a eucalyptus productive zone in the Brazilian Cerrado, using the Ca-Markov/Random Forest and InVEST models

固碳 环境科学 温室气体 碳储量 生态系统服务 气候变化 生态系统 农林复合经营 林业 环境保护 地理 生态学 二氧化碳 生物
作者
Vitor Matheus Bacani,Bruno Henrique Machado da Silva,Amanda Ayumi de Souza Amede Sato,Bruna Dienifer Souza Sampaio,Elias Rodrigues da Cunha,Erivelton Pereira Vick,Víncler Fernandes Ribeiro de Oliveira,Hermiliano Felipe Decco
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:444: 141291-141291 被引量:64
标识
DOI:10.1016/j.jclepro.2024.141291
摘要

Tropical ecosystems in Brazil, particularly Mato Grosso do Sul, possess substantial greenhouse gas (GHG) mitigation potential through carbon sequestration in tree forests. However, the expansion of agricultural activities poses a threat to this potential. Notably, eucalyptus forests could enhance carbon sequestration and reduce GHG emissions. This study focused on Três Lagoas, known as Brazil's cellulose capital, and aimed to evaluate carbon stock and sequestration for 2030 under business as usual (BAU) and protected forest (PF) scenarios. Combining Cellular Automata (CA) and Random Forest models implemented in Patch-Generating Land Use Simulation (PLUS) and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, we simulated land use scenarios and assessed ecosystem services generated by carbon sequestration. The results showed that the PF scenario indicated a higher total carbon stock than the BAU scenario, with a difference of 2.48 Tg. Carbon sequestration varied by period and scenario. Between 2010 and 2020, 3.88 Tg of carbon were sequestered. However, in the next period (2020–2030), the BAU scenario estimated 2.45 Tg in total carbon sequestration. In contrast, the PF scenario predicted 4.93 Tg of carbon sequestration for 2020–2030, surpassing the previous decade. Monetarily, carbon sequestration in 2010–2020 amounted to $92.48 million, decreasing to $58.49 million for 2020–2030 in the BAU scenario. In the PF scenario, sequestration for 2020–2030 increased to $ 117.43 million, nearly double that of the BAU scenario. In conclusion, combining the Ca-Markov/Random Forest and InVEST models revealed the spatiotemporal dynamics of carbon stock and sequestration in the municipality with the largest eucalyptus-planted area in Brazil. The results underscore the significant variability in carbon stocks and sequestration based on classes, periods, and scenarios analyzed. This study contributes valuable insights into the potential for carbon mitigation in this critical region.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
gakiki发布了新的文献求助10
刚刚
jimmy完成签到,获得积分10
1秒前
荷月初六发布了新的文献求助10
1秒前
1秒前
高等数学发布了新的文献求助10
1秒前
2秒前
慕青应助青山采纳,获得10
3秒前
3秒前
4秒前
无花果应助船舵采纳,获得10
5秒前
5秒前
小蘑菇应助友好的小翠采纳,获得10
5秒前
橙尘尘发布了新的文献求助10
5秒前
ash完成签到,获得积分10
6秒前
6秒前
6秒前
星辰大海应助愉快的安波采纳,获得10
6秒前
ding应助hsx采纳,获得10
7秒前
去阿中午完成签到,获得积分10
7秒前
7秒前
7秒前
杨超越发布了新的文献求助10
8秒前
9秒前
10秒前
10秒前
zzx完成签到,获得积分10
10秒前
Finn完成签到,获得积分20
11秒前
思源应助活泼的小霸王采纳,获得20
11秒前
在水一方应助6666采纳,获得30
11秒前
12秒前
12秒前
13秒前
高等数学完成签到,获得积分10
13秒前
hsy完成签到,获得积分10
13秒前
14秒前
乐乐应助Megan采纳,获得10
14秒前
鹅不食草发布了新的文献求助10
15秒前
普雅花完成签到 ,获得积分10
15秒前
15秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Perfectionism in School 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7727778
求助须知:如何正确求助?哪些是违规求助? 9280272
关于积分的说明 20136527
捐赠科研通 7305423
什么是DOI,文献DOI怎么找? 3302580
关于科研通互助平台的介绍 2455803
邀请新用户注册赠送积分活动 2310745