Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.ecolmodel.2021.109817 |
Exploring the ecosystem resilience concept with land surface model scenarios | |
Seixas, Hugo Tameirao; Brunsell, Nathaniel A.; Moraes, Elisabete Caria; de Oliveira, Gabriel; Mataveli, Guilherme | |
通讯作者 | Seixas, HT (corresponding author), Univ Estadual Campinas, Ctr Meteorol & Climat Res Appl Agr, BR-13083886 Campinas, SP, Brazil. |
来源期刊 | ECOLOGICAL MODELLING
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ISSN | 0304-3800 |
EISSN | 1872-7026 |
出版年 | 2022 |
卷号 | 464 |
英文摘要 | The concept of resilience can be helpful in describing the relationship between vegetation and climate, especially when considering the likelihood of more extreme climate events due to global warming. However, the quantification and characterization of resilience is a challenge, due to the inherent complexity of the concept, as well as difficulty in comparing different ecosystems across the globe. In order to explore ecosystem resilience to drought, we estimated the resilience and related metrics from a series of land surface model (LSM) simulations with altered climate forcing data, focusing on the responses to changing precipitation. These simulations were performed in the semi-arid region of Caatinga biome, northeastern Brazil. Results showed that the quantification of resilience can be represented as a function between precipitation variation and gross primary productivity (GPP) variation. We compared the resilience components estimated for different vegetation types, which showed differences in the response of vegetation to precipitation variability. The study shows the potential of using LSMs to improve our understanding of the vegetation response to climate change, allowing us to explore possible scenarios that are usually not available in field experiments. |
英文关键词 | Drought Ecosystem resilience Land surface model Semi-arid Primary productivity |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000728786900005 |
WOS关键词 | RESISTANCE ; DROUGHT ; CLIMATE ; CAATINGA ; PRODUCTIVITY ; PREDICTIONS ; FOREST ; RESPONSES ; PATTERNS ; DRIVERS |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/374511 |
作者单位 | [Seixas, Hugo Tameirao; Moraes, Elisabete Caria; Mataveli, Guilherme] Brazilian Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos, SP, Brazil; [Brunsell, Nathaniel A.] Univ Kansas, Dept Geog & Atmospher Sci, 1475 Jayhawk Blvd,417 Lindley Hall, Lawrence, KS 66045 USA; [de Oliveira, Gabriel] Univ S Alabama, Dept Earth Sci, 5871 USA North Dr, Mobile, AL 36688 USA |
推荐引用方式 GB/T 7714 | Seixas, Hugo Tameirao,Brunsell, Nathaniel A.,Moraes, Elisabete Caria,et al. Exploring the ecosystem resilience concept with land surface model scenarios[J],2022,464. |
APA | Seixas, Hugo Tameirao,Brunsell, Nathaniel A.,Moraes, Elisabete Caria,de Oliveira, Gabriel,&Mataveli, Guilherme.(2022).Exploring the ecosystem resilience concept with land surface model scenarios.ECOLOGICAL MODELLING,464. |
MLA | Seixas, Hugo Tameirao,et al."Exploring the ecosystem resilience concept with land surface model scenarios".ECOLOGICAL MODELLING 464(2022). |
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