Differential specific leaf area due to different stand structures drives alterations in soil organic carbon in artificial forests of karst areas

喀斯特 土壤碳 环境科学 碳纤维 总有机碳 生态学 农林复合经营 土壤科学 生物 土壤水分 数学 古生物学 算法 复合数
作者
Jin Tan,Xiuqin Wu,Lei Wang,Nan Wu,Zhangyun Li
出处
期刊:Forest Ecology and Management [Elsevier BV]
卷期号:556: 121719-121719 被引量:3
标识
DOI:10.1016/j.foreco.2024.121719
摘要

After setting targets for carbon peaking and carbon neutrality, Guangxi of China has adjusted its goals to establish artificial afforestation, which boasts the highest coverage rate of artificial forests in nationwide karst areas. Recognizing limitations in land resources, the focus has shifted from expanding the planting area to enhancing the quality of these artificial forests. The objective is to maximize forest carbon storage and soil carbon sequestration within the limited available land. As a result, artificial forest managers now require extensive and detailed information regarding growth of these forests and the mechanisms involved in their interaction with soil carbon from the micro-level scale. We selected 22 sites of artificial forests in the Liujiang river in Guangxi, known for its typical karst topography, to conduct our investigation. Additionally, 5 natural grasslands were investigated as control groups. We determined various parameters including vegetation distribution, plant growth, leaf traits, and soil organic carbon content. The results showed that when the understory vegetation coverage in artificial forests exceeds 45%, the leaf biomass accumulation rate was higher than the leaf area expansion rate (significant difference in slope from 1.0, P < 0.05). Furthermore, the soil organic carbon content in artificial forests ranged from 15.65 g·kg−1 to 25.91 g·kg−1, which was significantly different from the highest recorded value of 9.39 g·kg−1 found in natural grasslands (P < 0.05). In Eucalyptus globulus artificial forests, The forest structure with low tree height and understory vegetation coverage, promotes a high specific leaf area. This accelerates litter weight and carbon accumulation, enhancing organic carbon input to soil. For balanced carbon sequestration and preventing rocky desertification, Eucalyptus globulus artificial forests can be established with an understory vegetation coverage of 40–45% and a stand density of at least 15 plants per 100 square meters. In Bauhinia purpurea artificial forests, high stand density leads to Bauhinia purpurea leaves as primary source of litter, but low stand density relies on understory vegetation residue for soil organic carbon. Bauhinia purpurea artificial forests can be established with the same understory vegetation coverage as Eucalyptus globulus but a stand density of 10 plants per 100 square meters. In Pinus massoniana artificial forests, the extent of understory vegetation coverage is important for determining the weight and carbon content of litter. For Pinus massoniana artificial forests, it is best to maintain understory vegetation coverage above 40%.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
1秒前
li完成签到,获得积分10
1秒前
南音完成签到,获得积分10
1秒前
2秒前
科研通AI5应助YMM采纳,获得10
2秒前
还原苯醌发布了新的文献求助10
3秒前
淡淡紫山发布了新的文献求助10
3秒前
4秒前
YBW发布了新的文献求助10
4秒前
南音发布了新的文献求助30
4秒前
一一完成签到,获得积分10
4秒前
4秒前
5秒前
欣慰的真发布了新的文献求助10
7秒前
可乐发布了新的文献求助10
7秒前
脑洞疼应助zcc采纳,获得10
7秒前
空白格发布了新的文献求助10
8秒前
8秒前
火辣蛤蟆发布了新的文献求助150
10秒前
gjlt发布了新的文献求助10
10秒前
邱祺云发布了新的文献求助10
10秒前
11秒前
aeriki关注了科研通微信公众号
12秒前
wyg117发布了新的文献求助10
12秒前
大雯仔发布了新的文献求助10
14秒前
还原苯醌完成签到,获得积分10
14秒前
15秒前
菜菜子完成签到,获得积分20
15秒前
luoman5656完成签到,获得积分10
16秒前
完美世界应助木易采纳,获得10
17秒前
17秒前
Akim应助小超人采纳,获得10
18秒前
YBW完成签到,获得积分20
19秒前
20秒前
小沈小沈发布了新的文献求助10
21秒前
大雯仔完成签到,获得积分10
22秒前
哈尔婧发布了新的文献求助10
23秒前
25秒前
25秒前
高分求助中
(应助此贴封号)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
줄기세포 생물학 1000
Biodegradable Embolic Microspheres Market Insights 888
Quantum reference frames : from quantum information to spacetime 888
Pediatric Injectable Drugs 500
Instant Bonding Epoxy Technology 500
Theoretical Justification and Institutional Construction of Pre-training Data Disclosure Obligations for AI Large Models 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4405483
求助须知:如何正确求助?哪些是违规求助? 3891058
关于积分的说明 12109259
捐赠科研通 3536039
什么是DOI,文献DOI怎么找? 1940194
邀请新用户注册赠送积分活动 981091
科研通“疑难数据库(出版商)”最低求助积分说明 877675