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基于关键指标优化的南瓮河国家级自然保护区生态系统质量变化评估     被引量:2

Assessment of ecosystem quality changes based on optimizing key indicators in Nanwenghe National Nature Reserve,Heilongjiang,China

文献类型:期刊文献

中文题名:基于关键指标优化的南瓮河国家级自然保护区生态系统质量变化评估

英文题名:Assessment of ecosystem quality changes based on optimizing key indicators in Nanwenghe National Nature Reserve,Heilongjiang,China

作者:曾浩威[1,2] 凌成星[1,2] 刘华[1,2] 赵峰[1,2] 王鑫淼[1,2] 张雨桐[1,2]

第一作者:曾浩威

机构:[1]中国林业科学研究院资源信息研究所,北京100091;[2]国家林业和草原局林业遥感与信息技术重点实验室,北京100091

年份:2023

卷号:34

期号:11

起止页码:3064-3072

中文期刊名:应用生态学报

外文期刊名:Chinese Journal of Applied Ecology

收录:CSTPCD;;Scopus;北大核心:【北大核心2020】;CSCD:【CSCD2023_2024】;PubMed;

基金:中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2022SY027)资助。

语种:中文

中文关键词:生态系统质量;变化评估;净初级生产力;指标优化

外文关键词:ecosystem quality;change assessment;net primary productivity(NPP);index optimization.

分类号:Q94

摘要:净初级生产力(NPP)是反映陆地生态系统生产能力的指标,也是衡量生态质量的关键指标。NPP难以进行大面积实测,目前大多数评估生态系统质量使用的是分辨率较低的NPP产品,低分辨率NPP不能够捕捉到生态系统的细节特征,不利于小尺度区域生态系统质量评估。建立快速、高效的小尺度区域生态系统质量评估方法将有力推进我国生态系统保护和修复。本研究针对生态系统质量评估和NPP的计算方法,优化了NPP的计算流程,使得NPP作为评估指标时不需要地面观测数据即可通过遥感反演得到,并建立回归模型遥感反演叶面积指数,采用像元二分法估算植被覆盖度,形成一套遥感快速评估生态系统质量的方法,并以南瓮河国家级自然保护区为例,评估其2001—2022年生态系统质量变化。结果表明:2001—2022年间,保护区生态系统质量整体良好,2022年质量等级良、优面积占比达85%以上;高植被覆盖度是保护区生态系统质量持续良好的中坚力量;2001—2022年,保护区生态系统质量呈先降低后升高的趋势,2013年为生态系统质量最低点。本研究构建方法在评估南瓮河国家级自然保护区生态系统质量上取得了良好效果。本研究提出的指标优化方法可助力小尺度区域生态系统质量快速、精准评估,可为生态系统质量的精准提升提供技术参考。
Net primary productivity(NPP)is an indicator to reflect the production capacity of terrestrial ecosystems,as well as a key indicator for ecological quality.NPP at large scale is difficult to be measured.At present,most of the assessment of ecosystem quality uses NPP products with low resolution,which cannot capture the detailed characteristics of the ecosystem and is not conducive to the assessment of ecosystem quality at small-scale.The establishment of a rapid and efficient assessment method for small-scale ecosystem quality will greatly promote the protection and restoration of ecosystems in China.We focused on the calculation method of ecosystem quality assessment and NPP,and optimized the calculation process of the NPP,and obtained NPP by remote sensing without ground observation data.We established a regression model for remote sensing inversion of leaf area index,and estimated the vegetation coverage by using dimidiate pixel model,developed a set of methods for rapid assessment of ecosystem quality by remote sensing.Taking Nanwenghe National Nature Reserve as an example,we evaluated the change of ecosystem quality from 2001 to 2022.The results showed that from 2001 to 2022,the ecosystem qua-lity of the reserve was good as a whole,and that the area with good and excellent quality accounted for more than 85%in 2022.High vegetation coverage was the backbone of the sustainable good ecosystem quality of the reserve.From 2001 to 2022,ecosystem quality of the reserve showed a trend of first decreasing and then increasing,with the lowest point of ecosystem quality in 2013.This method had achieved good results in the evaluation of ecosystem quality in Nanwenghe National Nature Reserve.The index optimization method proposed in this study could facilitate the rapid and accurate assessment of ecosystem quality in small-scale regions,and thus provides technical reference for the precise improvement of ecosystem quality.

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