机构地区:[1]长江大学园艺园林学院,荆州434000 [2]中国科学院地理科学与资源研究所,生态系统网络观测与模拟重点实验室,生态系统大数据与模拟中心,北京100101 [3]九江学院旅游与地理学院,九江332005
出 处:《生态学报》2024年第1期154-170,共17页Acta Ecologica Sinica
基 金:第二次青藏高原综合科学考察研究项目(2019QZKK0302);中国科学院美丽中国生态文明建设科技工程A类战略性先导科技专项(XDA23100202);中国科学院青海省人民政府三江源国家公园联合研究专项(LHZX-2020-07);国家自然科学基金项目(31971507)。
摘 要:了解陆地生态系统的脆弱性和基本机制是适应和减轻全球气候变化影响的决策基础。生态系统的脆弱性可以通过生产力对气候变化的敏感性和适应性进行量化。采用1982—2018年青海省境内基于遥感的现实净初级生产力(NPP_(R))和气候驱动的潜在净初级生产力(NPP_(C)),量化了高寒生态系统的敏感性(Sensitivity)、适应性(Adaptability)和脆弱性(Vulnerability)。然后探讨了生态系统脆弱性的时空变化,并分别从人类活动和气候变化的影响方面分析了其基本机制。结果表明:(1)基于NPP_(R)和NPP_(C)的生态系统脆弱性在空间上呈现出中度脆弱的模式,脆弱性从东南向西北由不脆弱依次递增到极度脆弱等级。(2)耕地的脆弱性较低,基于NPP_(R)和NPP_(C)的指数分别为-1.31和-0.93,这是由于其适应水平较高而敏感性较低;森林次之,指数为-1.18(NPP_(R))和-1.06(NPP_(C));草原的指数为-0.17(NPP_(R))和-0.17(NPP_(C));而荒漠的脆弱性较高,指数为0.77(NPP_(R))和0.78(NPP_(C)),这是由于其敏感性较高,适应性较低。(3)基于NPP_(R)的高寒草地的脆弱性有两个温度阈值(-2.2±0.8)℃和(5.5±0.8)℃,一个降水阈值(387±45.6)mm,两个干旱指数阈值为(14.2±20.2)和(78.2±20.2)。而基于NPP_(C)的脆弱性也发现了同样的阈值,并且数值相似。阈值表明最佳气候条件下,生态系统将具有较高的适应性和较低的敏感性,即较低的脆弱性。但如果气温较低或较高,或者降水较低,生态系统的脆弱性将会更高。(4)人类活动对东部地区生态系统的脆弱性产生了强烈的影响,但就整个青海省的生态系统而言,这些影响在区域平均水平上较小。这项研究表明,在高寒脆弱的生态系统中,气候条件决定了脆弱性在空间上的分布情况,这应该被视为生态保护决策的理论基础。此外,本研究发现的阈值将为生态系统生态学提供一个案例研究,并应在世界各地的脆弱生态系统Understanding vulnerability of terrestrial ecosystems and underlying mechanisms are fundaments for decision-making on the adaptation and mitigation of global climate change impacts.Vulnerability of ecosystem could be quantified by the sensitivity and adaptability of productivity to climatic changes.In this study,a method was developed to quantify the sensitivity,adaptability and vulnerability for alpine ecosystems.The method respectively quantified the vulnerability,sensitivity and adaptability of ecosystems through the remote sensing-based actual net primary productivity(NPP_(R))and the climate-driven potential net primary productivity(NPP_(C))over Qinghai province from 1982 to 2018.Then the spatial and temporal changes were explored in ecosystem vulnerability and the underlying mechanisms were analyzed in the terms of the effects from human activities and climate change respectively.The results showed that:(1)the NPP_(R)-and NPP_(C)-based vulnerability of the ecosystems showed a spatial pattern as moderately vulnerable,vulnerability increases from southeast to northwest in descending order from not vulnerable to extremely vulnerable.(2)Cropland had lower vulnerability with the NPP_(R)-and NPP_(C)-based index of-1.31 and-0.93,due to its higher adaptation level and lower sensitivity level,followed by forest with the index of-1.18(NPP_(R))and-1.06(NPP_(C)),and grassland with the index of-0.17(NPP_(R))and-0.17(NPP_(C)),while desert had higher vulnerability level with the index of 0.77(NPP_(R))and 0.78(NPP_(C)),due to higher sensitivity level and lower adaptation level.(3)The NPP_(R)-based vulnerability of alpine grassland was found having the two thresholds(-2.2±0.8)℃and(5.5±0.8)℃of temperature,the one precipitation threshold(387±45.6)mm,therefore the two aridity index thresholds of(78.2±20.2)and(14.2±20.2).And the same thresholds were found for the NPP_(C)-based vulnerability,which has the similar value as the NPP_(R)-based vulnerability.The thresholds indicate that under optimal climate conditions,ecosys
关 键 词:净初级生产力 生态系统脆弱性 气候变化 人类活动 脆弱性阈值
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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