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基于GIS的巢湖流域碳储量及碳汇现状研究

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陆地生态系统的碳储量及碳汇研究可为国家实行"双碳"战略提供数据支撑.本文运用InVEST模型与CASA模型分别对巢湖流域的碳储量及固碳速率进行定量研究.结果表明:2022 年巢湖流域碳储存总量为 3 350 万t,NPP均值为 469 g/(m2·a),NEP均值为 348.595 g/(m2·a).巢湖流域西南区大别山山区碳储量较高,合肥市城区内碳储量较低,该分布规律与巢湖流域固碳速率空间分布大致相似,且秋季固碳速率高于其它 3 个季度.土地利用类型是影响巢湖流域碳汇能力的重要因素之一,林地是巢湖流域碳密度与碳汇最高的土地类型,退耕还林是增加区域碳汇的重要手段.
Carbon Storage and Status of Carbon Sink in Chaohu Lake Catchment Based on GIS
Studies of carbon storage and carbon sink status of terrestrial ecosystems provide data support for the national strategy of carbon peak and carbon neutral.This paper uses the InVEST model and the CASA model to quantitatively study the carbon storage and carbon sequestration rate in the Chaohu lake catchment.The results showed that the total carbon storage in the Chaohu lake catchment in 2022 was 3 350 million tons,the average NPP in 2022 was 469 g/(m2·a),and the average NEP value in 2022 was 348.595 g/(m2·a).The carbon storage in the Dabie mountains in the southwest area of the Chaohu lake catchment is relatively high,while the carbon storage in the urban area of Hefei city is relatively low.This distribution pattern is roughly similar to the spatial distribution of carbon sequestration rates in the Chaohu lake catchment,and the carbon sequestration rate in autumn is higher than in the other three seasons.Land use type is one of the important factors affecting the carbon sink capacity of the catchment.Forestland is the land type with the highest carbon density and carbon sink in the catchment.Converting farmland to forest is an important means to increase regional carbon sinks.

Chaohu lake catchmentCarbon storageCarbon sink status

姚亦鹏、刘萌硕、傅海峰、冷欣

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南京大学生命科学学院,江苏 南京 210023

南京大学常熟生态研究院,南大(常熟)研究院有限公司,江苏苏州 215500

巢湖流域 碳储量 碳汇现状

苏州·中国声谷创新基金

H3002

2024

湿地科学与管理
中国林业科学研究院

湿地科学与管理

CSTPCD
影响因子:0.354
ISSN:1673-3290
年,卷(期):2024.20(4)
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