利用遥感数据探测气候变化对罗马尼亚西南部森林生态系统的影响(英文)

Nowadays, Southwestern Romania faces a large-scale aridization of the climate, revealed by the rise of temperatures and the decline of the amount of precipitations, with negative effects visible, among others, in the desiccation of forest vegetation. The present study means to identify the changes that occurred, quality-wise, in the past two decades(1990–2011) in forest vegetation in Southwestern Romania, and to establish the link between those changes and extant thermal stress in the region, whose particular features are high average annual and seasonal temperatures. In order to capture the evolution in time of climate aridization, a first step consisted in using climate data, the temperature and precipitation parameters from three weather stations; these parameters were analyzed both individually and as aridity indexes(De Martonne and UNEP). In order to quantify the changes in forest vegetation, NDVI indexes were used and analyzed, starting off from Landsat satellite images, acquired at three distinct moments in time, 1990, 2000 and 2011. In order to identify the link between the changes of NDVI index values and regional thermal stress, a yardstick of climate changes, statistical correlations were established between the peak values of average annual temperatures, represented in space, and negative changes in the NDVI index, as revealed by the change-detection analysis. The results obtained indicated there is an obvious(statistically significant) connection between thermal stress and the desiccation(degradation) of forest species in the analyzed area, with false acacia(Robinia Pseudoacacia) the main species to be impacted.     

NDVI changes in China between 1989 and 1999 using change vector analysis based on time series data

1 Introduction The land surface has considerable control on the planet抯 energy balance, biogeochemical cycles and hydrologic cycle, which in turn significantly influences the climate system. Therefore, the global environmental change community has paid great attention to the land use/cover change (LUCC). Many researchers have focused on the land cover classification and change by using remotely sensed data. Changes in land-cover are driven by four categories of causes[1]: (1) long-term nat…     

NDVI changes in China between 1989 and 1999 using change vector analysis based on time series data

Change vector analysis (CVA) and principal component analysis in NDVI time-trajectories space are powerful tools to analyze land-cover change. The magnitude of the change vector indicates amplitude of the change, while its direction indicates the nature of the change. CVA is applied to two remotely sensed indicators of land surface conditions, NDVI and spatial structure, in order to improve the capability to detect and categorize land-cover change. The magnitude and type of changes are calculated in China from 1989 to 1999. Through the research, the main conclusions are drawn as follows: 1) The changes of NDVI are quite different between eastern China and western China, and the change range in the east is bigger than that in the west. The trend in NDVI time series is smoothly increasing, the increases happen mostly in Taiwan, Fujian, Sichuan and Henan provinces and the decreases occur in Yunnan and Xinjiang. 2) The spatial structure index can indicate changes in the seasonal ecosystem dynamics for spatially heterogeneous landscapes. Most of spatial structure changes, which occurred in southern China, correlated with vegetation growth processes and strike of mountains.     

气候变化对中亚草地生态系统碳循环的影响研究

准确评估草地生产力、碳源/碳汇功能,分析气候变化对草地生态系统碳循环的影响,对于草地资源的合理开发和有效保护至关重要。选取对气候变化以及人类干扰高度敏感的中亚干旱区草地生态系统为研究对象,利用Biome-BGC模型,模拟分析其NPP、NEP的年际变化趋势及其空间分布格局。结果显示：（1）1979-2011年中亚地区草地生态系统NPP年平均值为135.6 gC·m^-2·a^-1,且随着时间的推移呈现出波动下降的趋势,下降速率为0.34 gC·m^-2·a^-1。（2）NEP的年平均值为-8.3 gC·m^-2·a^-1,表现为碳源,且该值随着时间的推移呈现出波动上升的趋势,上升速率为0.58 gC·m^-2·a^-1。（3）NPP高值区域在降水较为丰富的天山山脉附近以及哈萨克斯坦北部。（4）NPP的年际变化与降水量的年际变化趋势基本一致,相关系数为0.52;NPP与温度的相关系数为-0.28,未达到显著相关水平。本研究实现了Biome-BGC模型在中亚干旱区草地生态系统的应用,对评价干旱区草地生态系统碳源/碳汇功能及其在全球碳循环和全球变化中的作用、实现中亚草地生态系统的可持续利用、完善区域和全球碳循环理论体系具有重要意义。     

Effects of grazing and climate change on sandy grassland ecosystems in Inner Mongolia

To understand the effects of grazing activities and climate change on sandy grassland ecosystems in northern China, a livestock field grazing and enclosure experiment was conducted from 1992 to 2006 in Horqin Sand Land, Inner Mongolia. The results showed that sustained heavy grazing resulted in serious degradation of the vegetation; moderate grazing can maintain vegetation stabilization; and light grazing can promote rapid restoration of degraded vegetation. The livestock productivity was the highest in the moderate grazing grassland, and sustained heavy grazing resulted in rapid decrease of the livestock productivity. Heavy grazing can cause a retrogressive succession of grassland vegetation, whereas moderate and light grazing may promote progressive succession of plant species. The effects of changing climate on succession processes were not significant in the short term; a warm-humid climate is favorable to restoration of degraded vegetation, whereas a sustained warm-drought climate may result in degradation of grassland vegetation. Heavy livestock grazing should be stopped for the sustainable use of grassland; the proper grazing intensity for sandy grassland is two to three sheep or sheep equivalents per hectare in Inner Mongolia.     

全球气候变化对黄河流域天然径流量影响的情景分析

本文从干旱指数蒸发率函数出发,以HadCM3 GCM对降水和温度的模拟结果为基础,在IPCC不同发展情景下,分析了未来近100年内黄河流域天然径流量的变化趋势。研究结果表明,在不同气候变化情景下,多年平均年径流量的变化随着区域的不同而有显著差异,其变化幅度在-48.0%²03.0%之间。全球气候变化引起的多年平均天然径流量的变化从东向西逐渐减小。就黄河流域而言,2006²035年、2036²065年、2066²095年A2情景下（人口快速增长、经济发展缓慢）多年平均天然径流量的变化量分别为5.0%、11.7%、8.1%,B2情景下（强调社会技术创新）相应的变化分别为7.2%、-3.1%、2.6%。     

Analyzing land-cover change and corresponding impacts on carbon budget in a fast developing sub-tropical region by integrating MODIS and Landsat TM/ETM+ images

Land-cover change has significant impacts on regional carbon dynamics. Understanding the carbon consequences of land-cover change is necessary for decision makers to address the issues of carbon reduction and climate change mitigation. Optical remote sensing images have been widely used for detecting regional land-cover change. However, it is difficult to acquire desirable images for regions that are frequently affected by cloudy and rainy weather. In this study, we proposed an approach to deal with this problem by integrating moderate-resolution imaging spectroradiometer (MODIS) and Landsat images based on the mixed-label analysis (MLA) model. We tested this model in Guangdong Province, a fast developing sub-tropical region in China, to derive the provincial land-cover data for the analysis of land-cover change between 2000 and 2009 and its impacts on regional carbon dynamics. Results show that forest land decreased by 3.03%, while built-up area rapidly expanded by 73.01% from 2000 to 2009. The regional vegetation carbon sink declined by 2.6%, whereas the regional carbon emissions increased by more than 100% due to the fast urbanization and economic development. The regional vegetation carbon sink can only offset 4.1% of total carbon emissions in 2009, far below the national level (about 7.0–7.7%) at the same period. Future efforts to improve the regional carbon budget should focus more on the control of land development and the advance of energy efficiency.     

The use of Landsat imagery to assess large-scale forest cover changes in space and time,minimizing false-positive changes

A new approach, based on the application of multi-spectral remote sensing data of Landsat imagery, is introduced to determine large-scale spatiotemporal variations of forest cover changes quantitatively and with a high degree of precision. The test area covers about 837,330.5 ha of a mountainous region in Central Italy. The approach employs several multi-temporal Landsat acquisitions to account for forest cover changes larger than 0.5 ha for the period from March 2002 to July 2011. In contrast to automated approaches that strongly curtail mapping time, the approach introduced here allowed us to map only the real forest cover change, based on a robust validation and rectification of the detected forest change. Derived high spatial resolution data of forest change estimates indicate that about 5.7% (47,670.5 ha) of the observed forest area was subject to human-induced change between 2002 and 2011. Moreover, the detected forest cover changes, most of which are identifiable as timber harvesting, are considerably larger than those reported in the official statistics and often fall within the perimeter of restricted areas (i.e., national parks and natural reserves).     

气候变化和生态建设对秦岭—淮河南北植被动态的影响

论文基于2000-2019年秦岭—淮河南北MODIS-NDVI植被覆盖数据,对中国南北过渡带植被时空变化进行分析,并探讨植被动态变化驱动因素.结果 表明:①在趋势变化上,2000-2019年秦岭—淮河南北植被显著恢复.其中,秦巴山区植被恢复面积占比最高,其次是巫山山区和关中平原;植被退化区面积占比仅为6.4％,主要分布...     

青藏高原冷暖气候变化趋势的R/S分析及Hurst指数试验研究

利用青藏高原1953-2002年77个气象台站的常规地面观测资料,选择不同类型变化趋势的部分台站。选取年平均气温(■)、年平均最低气温(min)、年平均最高气温(■max)、年极端最低气温(tmin)、年极端最高气温(Tmax)5项气候要素,运用R/S分析法研究并预测了青藏高原未来冷暖气候变化趋势,研究表明:青藏高原未来冷暖气候变化趋势与过去50年以来的变化有着很好的自相似性。今后青藏高原总体将继续变暖,用分形理论的原理,设计了一种Hurst指数试验。对青藏高原北部和南部的年平均气温、年平均最低气温进行了试验研究。结果表明:依据青藏高原北部和南部的区域平均气候倾向率,未来10年,■将升高0.2~0.4℃;min将升高0.3~0.5℃;min将升高0.7~0.8℃;■max将升高0.3~0.4℃;■max将升高0.4~0.6℃。其中年平均气温、年平均最低气温升高趋势的持续性很强,期间没有转折,没有冷暖变化的突变点。     

气候变化对青藏高原水环境影响初探

利用Penman-Monteith公式和干燥度指数公式,计算并分析了青藏高原65个气象站1972-2011年间记录的气候变化趋势,同时在总结国内外有关气候变化对青藏高原水环境各要素影响研究的基础上,通过简单线性相关统计方法,分析了研究区域气候变化与水环境变化的相关性。结果表明：（1）青藏高原整体升温显著,降水显著增加,最大可能蒸散（ET₀）显著降低,暖湿化趋势显著;高原北部和西部降水显著增加、ET₀显著降低、干燥度指数显著下降,东部和南部ET₀显著降低、干燥度指数显著下降;（2）受升温影响,青藏高原的冰川消融,尤以东部地区变化显著;湖泊因其补给条件不同而分别呈现出扩张、萎缩和基本稳定3种状态,总体上,高原西部的湖泊以扩张为主,东部的湖泊基本稳定,而萎缩的湖泊分布较为分散。水环境的改变对于高原区水循环过程及生态系统都将产生重要影响。     

全球气候变化背景下基于土地利用的人类活动对城市热环境变化归因分析——以京津冀城市群为例

近年来全球气候变化已经影响到人类生活的所有地区,气候系统变化的规模和现状是数千年来前所未有的。与此同时,中国城镇化进程显著加快,尤其以城市建设用地扩张主导的土地城镇化最为突出,导致城市热环境脆弱性加剧。已有研究探索了特定类型土地利用变化对于城市热环境的影响,但忽视了全球气候变化背景下自然气候和人类活动共同作用城市热环境变化的双重过程。因此,本研究提出一种基于土地利用类型的城市热环境变化贡献度算法,旨在厘清自然气候（表征为土地利用平均温度变化）和人类活动（表征为土地利用类型转变）对于区域热环境变化的单独贡献。本研究使用中分辨率成像光谱仪（Moderate-Resolution Imaging Spectroradiometer,MODIS）地表温度及发射率数据,定量计算2005—2020年四季和昼夜京津冀城市群各城市土地利用类型平均温度和面积变化对于城市热环境变化的分别贡献。该算法计算各城市四季和昼夜地表温度变化与MODIS LST产品误差在1 K以内。2005—2020年各城市地表平均温度大多数呈增长态势,其中冬季白天增温幅度最高。耕地、城市建设用地和农村居民点对城市热环境变化的贡献度较其他土地利用类型突出。京津冀城市群中各城市人类活动对城市热环境变化的单位贡献强度远高于自然气候（4.03~648.07倍）,而人类活动的贡献总量（-0.25~0.92 K）低于自然气候（-2.40~6.50 K）。研究结果对于京津冀城市群空间协同发展和适应及减缓气候变化等具有重要的科学意义和实践价值。     

中南半岛森林覆被变化研究进展

中南半岛森林覆被是热带地区极为重要的自然资源,对当地生态环境和社会经济发展都有重要影响。本文从遥感监测与制图、时空变化格局、影响因素和生态环境效应4 个方面,系统总结和评述了中南半岛森林覆被变化的研究进展,并对研究问题和发展方向进行了讨论。研究表明：①中南半岛森林覆被遥感监测数据源由光学遥感逐渐转向雷达遥感,监测方法向采用多分类器和多源信息转变,监测对象主要是天然森林覆被,人工林监测仍面临多重困难;②1980-2010 年期间,中南半岛不同地区森林覆被变化时空差异明显,其中,在1990 年前森林覆被面积为净增加,之后净减少;在空间上,泰国、老挝、缅甸和柬埔寨森林面积在1990 年后均持续减少,只有越南呈增长趋势;③中南半岛森林覆被变化的直接驱动因素主要为经济林扩张、刀耕火种农业、道路建设和商业采伐,间接驱动因素包括人口、社会经济和政策等因素,主要表现为森林数量变化、森林退化和森林再生/恢复等方面,其程度与干扰方式、强度、频率直接相关;④中南半岛森林覆被变化的生态环境效应主要体现在水分效应、大气环境效应、土壤效应和生物效应4方面。     

土地利用和气候变化对森林地上生物量的影响模拟——以江西省泰和县为例

以土地利用变化和气候变化为特征的全球和区域环境变化及其影响已经成为国际社会和公众关注的焦点,同时也是土地科学、全球变化科学和全球生态学关注的关键问题。由于土地、气候和森林生态系统之间存在着复杂而密切的关系,土地利用变化和气候变化将不可避免地对森林结构和功能产生重要影响。如何采用合理的适应措施降低这些变化可能带来的损失,是目前全球变化研究亟待解决的问题之一。因此,研究土地利用和气候变化对森林的单独及综合影响具有重要的科学意义。本文综合利用基于主体的土地利用模型（ABM/LUCC）、生态系统过程模型（PnET-II）以及森林景观动态模型（LANDIS-II）构建了综合模拟研究框架,选择森林类型多样且具有长期观测数据积累的江西省泰和县为研究区,模拟并对比了土地利用和气候变化组合情景下未来森林地上总生物量的变化差异。结果表明：① 土地利用变化对泰和县森林地上总生物量的影响比气候变化所带来的影响更加显著。研究区森林地上总生物量在有土地利用变化干扰的情景下与RCP 2.6、RCP 4.5和RCP 8.5单独的气候情景下相比分别减少33.13%、32.92%和32.42%;② 尽管未来气候变化可能有利于森林地上总生物量的积累,但土地利用变化将使森林地上总生物量显著减少,并将抵消气候变化带来的正效应;③ 本文提出的综合模拟研究框架可以很好地模拟土地利用和气候变化对森林生态系统的影响,可为提升和优化人工林结构和功能、开展可持续森林管理提供科学建议。     

基于微博大数据的气候变化对中国赏樱旅游的影响

研究气候变化对生态系统旅游和休闲功能的影响是旅游地理学的重要领域。本文发展和优化了基于Logistic曲线从微博大数据中提取赏樱旅游活动开展时间的方法,并从2879033条与樱花相关的新浪微博大数据中筛选出587891条有效微博,进而提取和重建了中国2010—2019年赏樱旅游活动时间数据集,该数据集通过了物候站点观测数据和与温度响应关系的验证。在此基础上分析了过去10 a中国21个城市赏樱旅游活动始日、末日和持续期的时空格局,并模拟和预测了SSP2-4.5和SSP5-8.5两种气候情景下,2020—2050年中国赏樱旅游活动时间的变化趋势。结果表明：① 过去10 a,全国大部分城市赏樱旅游活动始日提前（占比61.9%）,末日提前（占比76.2%）,持续期缩短（占比52.4%）。纬度每升高1°,始日、末日分别推迟0.286 d（P < 0.01）和0.394 d（P < 0.01）,持续期缩短0.286 d（P > 0.05）。② 未来气候情景下,大部分城市赏樱旅游活动始日和末日提前,持续期延长。SSP5-8.5情景对赏樱旅游活动的影响比SSP2-4.5情景更明显。本文的方法和框架能够为气候变化对特定旅游活动的影响研究提供基于大数据视角的参考。     

1981-2010年气候变化对青藏高原实际蒸散的影响(英文)

From 1981 to 2010,the effects of climate change on evapotranspiration of the alpine ecosystem and the regional difference of effects in the Tibetan Plateau(TP) were studied based on the Lund-Potsdam-Jena dynamic vegetation model and data from 80 meteorological stations.Changes in actual evapotranspiration(AET) and water balance in TP were analyzed.Over the last 30 years,climate change in TP was characterized by significantly increased temperature,slightly increased precipitation,and decreased potential evapotranspiration(PET),which was significant before 2000.AET exhibited increasing trends in most parts of TP.The difference between precipitation and AET decreased in the southeastern plateau and increased in the northwestern plateau.A decrease in atmospheric water demand will lead to a decreased trend in AET.However,AET in most regions increased because of increased precipitation.Increased precipitation was observed in 86% of the areas with increased AET,whereas decreased precipitation was observed in 73% of the areas with decreased AET.     

气候变化和人类活动对南方红壤丘陵区森林生态系统影响模拟研究——以江西泰和县为例

在全球气候变化和人类活动的影响下,森林生态系统结构、功能以及空间格局都将发生不同程度的变化。明晰景观尺度上未来森林的动态变化,对森林可持续发展具有重要意义。选择江西省泰和县为研究区,综合利用土地利用模型（CA-Markov）和森林景观动态模型（LANDIS-II）,并结合生态系统过程模型（PnET-II）,模拟气候变化、土地利用、采伐以及综合情景下未来40年（2010-2050年）阔叶林、针叶林的面积及生物量变化。结果表明：① 气候变化对森林面积影响较小,采伐使森林面积显著减少,土地利用变化使森林面积的变化更加剧烈;② 针叶林和阔叶林对不同干扰方式的响应表现出较强差异,针叶林对采伐的响应更加剧烈;③ 多模型综合模拟方法有助于区域森林管理,为南方红壤丘陵区森林结构优化和功能提升提供科学建议。     

气候变化和人类活动对汾河流域径流情势影响分析

在人类活动和气候变化的影响下,汾河入黄径流量锐减,加剧了山西省水资源短缺的现状,并引起生态环境的恶化,同时入黄径流量的减少致使黄河干流流量的减少,加剧了黄河中下游的水资源短缺。以汾河流域为研究区,采用水文变异诊断系统分析了汾河流域入黄控制站河津站1956-2012年的径流情势的变化情况,入黄径流有显著下降的趋势,并且在1971年左右发生了突变减少。然后采用多元分析方法,分析造成径流突变减少的影响因子,其径流受到降水量、潜在蒸散发量和人类活动引起的流域属性改变的影响。随后采用Budyko公式分析其敏感性,在相对较长的时间尺度上,气候变化对径流的影响比人类活动更加敏感。最后采用累计斜率法分析上述参数对径流的影响比率,得到径流量受降水量、潜在蒸散发量和流域属性的影响比率分别为16.29%、-4.86%和88.57%。     

气候变化对不同气候区流域年径流影响的识别

气候变化对流域径流的影响显著,但不同流域径流对各气候因子敏感性不同,具有明显的空间分异性。本文以位于半湿润、湿润地区的松花江、子牙河以及西苕溪流域为例,基于Budyko 水热平衡经验模型,采用归因分析方法分离了气象要素趋势性变化对年径流和潜在蒸发变化率的贡献与差异性。结果表明:1960-2008年,在上述3个流域中,降水趋势性变化对年径流变化的贡献比潜在蒸发大。松花江和子牙河流域各气象要素趋势性变化对潜在蒸发变化率的贡献排序为:温度>风速>水汽压>日照时数,而西苕溪流域为:温度>日照时数>风速>水汽压。在气候要素共同作用下,松花江和子牙河流域平均年径流分别以0.48和1.51 mm a^-2的速率减少,而西苕溪流域年径流则以1.42 mm a^-2的速率增加。所得结果加深了气候变化对径流影响机制和程度的认识,可作为流域水资源适应性管理的科学依据。     

美国中西部沙山地区环境变化的遥感研究

文章选择了典型半干旱地区———美国中西部的沙山为研究区,利用陆地卫星TM、MSS图像数据,采用线性光谱混合模型(LSMM)、穗帽变换、指数提取等方法,提取反映环境变化的沙地、湿地、水域、草地等信息,并研究典型半干旱地区———Nebraska近20年来的环境变化及其与气候变化的关系。