2000-2014年人类活动对贵州省植被净初级生产力的影响   总被引：2，自引：0，他引：2  

盛叶子  曾蒙秀  林德根  彭海军  朱丽东  李凤全  余奕泓  王能静 《中国岩溶》2020,39(1):62-70

利用MODIS实际净初级生产力数据与CASA模型估算得到的潜在净初级生产力,建立贵州省2000-2014年人类活动相对贡献指数(RCI),并依据各县喀斯特地貌面积和等级比例探究其年际变化及空间分布特征,再通过相关分析辨析选定的人类活动因子对其的影响。结果表明:(1)贵州省RCI均小于-0.5,人类活动促进了植被净初级生产力的增加,以2007年为转折点,影响程度先增强后减弱;(2)贵州省东北部、中部及西部地区的RCI多大于0,人类活动对生态环境有负面干扰作用;东南部及北部边缘地带的RCI多小于-1,人类活动的正面影响较强;(3)贵州省中部、北部大部分地区的RCI缓慢下降,人类活动对植被的正面影响增强;东南部部分区域的RCI由负转正,人类活动负面干扰作用增强;西南边界地区的RCI呈上升趋势却仍为负值,人类干预程度呈减弱趋势;(4)贵州省农业活动在人类活动的负面影响中有重要作用;城镇化与经济发展对生态环境既有正面影响,也有不可避免的负面干扰。  相似文献   

POI与NPP/VIIRS夜光数据空间耦合关系下的城市空间结构分析——以武汉市主城区为例     

陈斌  徐尚昭  周阳阳  徐锋良  王宏志 《测绘通报》2020,(7):70-75

城市兴趣点（POI）和夜光遥感影像能够直观反映城市社会经济等实体要素的空间分布特征，在城市空间结构研究中发挥着重要作用。本文首先选取长江中游城市群的典型城市代表——武汉市作为研究区，选用研究区2016年POI和NPP/VIIRS夜光遥感数据作为基础研究数据，采用GIS分析工具对POI数据进行了空间核密度分析；然后分别对POI核密度分析结果和NPP/VIIRS夜光遥感数据进行了空间网格化处理；最后采用双因素制图和栅格叠加分析方法对两类数据的空间耦合关系进行了探讨，并在此基础上进一步分析了城市空间结构特征。研究表明，武汉市POI数据和夜光遥感数据的空间耦合性整体较好，空间耦合相一致区域占比为82.15%；但POI数据和夜光遥感数据的空间耦合性在长江沿岸地区也存在部分差异，如硚口区、汉阳区夜光遥感数据和POI数据多以低—中的空间耦合模式为主，而青山区、武昌区和汉口区则多以中—低的空间耦合模式为主。武汉市作为中原城市群的核心城市之一，其城市内部空间结构与长江经济带发展关联密切，通过对POI和夜光遥感数据的空间耦合关系探讨，能够对武汉市空间实体要素的空间结构特征有更加深入的了解。本文结果可为沿江城市内部空间结构的研究提供一种崭新的视角。  相似文献   

Assessing the spatio-temporal variability of vegetation productivity in Africa: quantifying the relative roles of climate variability and human activities     

《International Journal of Digital Earth》2013,6(9):879-900

ABSTRACT

Quantitative attribution at the individual pixel level of the relative contributions of climate variability and human activities to vegetation productivity dynamics across Africa is generally lacking. This is because of the difficulty in establishing a baseline or potential vegetation against which the relative impacts of these factors can be assessed. This study addresses these gaps. First, annual potential net primary productivity (NPP_P) for 2000–2014 was estimated for Africa using a model constructed from samples of NPP and environmental covariates from protected areas. Second, trends in NPP_P, actual NPP (NPP_A), and human-appropriated NPP (NPP_H?=?NPP_P ? NPP_A) were estimated and used in quantifying the relative contributions of climate and human activities to NPP dynamics. Over 2000–2014, NPP improvement was largely concentrated in equatorial and northern Africa, while subequatorial Africa exhibited the most NPP decline. Parts of Mali, Burkina Faso, and the central Africa region are associated with the greatest influence of climate-driven NPP improvement. Areas where humans dominated NPP decline include parts of Ethiopia and South Africa. Climate had a stronger role in driving NPP decline in subequatorial Africa. Nonetheless, further work is required to validate the results of this study with high-resolution imagery and field information.  相似文献   

基于植被净初级生产力和水分利用效率的埃塞俄比亚土地退化趋势及驱动因素分析     

付石林  雷加强  周仪琪  周娜  Hare Malicha Loje  Jorro Zinabu Bora 《中国沙漠》2023,43(1):128-141

土地退化对减缓和适应气候变化有重要影响,并威胁到全世界的可持续发展,造成一系列社会、经济和生态问题,是目前全球面临的最大环境挑战之一。基于2001—2020年埃塞俄比亚的归一化植被指数（NDVI）、气象数据及土地覆盖数据,通过CASA模型计算获得植被净初级生产力（NPP）和水分利用效率（WUE）,并使用Sen+MK趋势分析方法得到土地退化及其恢复趋势,同时采用多元逐步回归方法分析了土地退化及恢复的驱动因素。结果表明：2001—2020年,埃塞俄比亚土地退化整体呈现恢复趋势,恢复区域占全国面积的34.51%,主要分布在埃塞俄比亚西部以及索马里州;退化区域仅占全国面积的1.63%,主要分布在首都亚的斯亚贝巴。土地退化及恢复的主要驱动因素是人为与气候共同因素和人为单因素。土地退化的主要因素为人口的快速增长以及城市的扩张,土地恢复则与20年来实施的森林景观恢复以及可持续土地管理措施和政策有关。  相似文献   

Sensitivity of the Terrestrial Ecosystem to Precipitation and Temperature Variability over China          下载免费PDF全文

SUN Guo-Dong 《大气和海洋科学快报》2014,(5):382-387

In this study, the sensitivities of net primary production （NPP）, soil carbon, and vegetation carbon to precipitation and temperature variability over China are discussed using the state-of-the-art Lund-Potsdam-Jena dynamic global vegetation model （LPJ DGVM）. The im- pacts of the sensitivities to precipitation variability and temperature variability on NPP, soil carbon, and vegeta- tion carbon are discussed. It is shown that increasing pre- cipitation variability, representing the frequency of ex- treme precipitation events, leads to losses in NPP, soil carbon, and vegetation carbon over most of China, espe- cially in North and Northeast China where the dominant plant functional types （i.e., those with the largest simu- lated areal cover） are grass and boreal needle-leaved for- est. The responses of NPP, soil carbon, and vegetation carbon to decreasing precipitation variability are opposite to the responses to increasing precipitation variability. The variations in NPP, soil carbon, and vegetation carbon in response to increasing and decreasing precipitation variability show a nonlinear asymmetry. Increasing pre- cipitation variability results in notable interannual variation of NPP. The sensitivities of NPP, soil carbon, and vegetation carbon to temperature variability, whether negative or positive, meaning frequent hot and cold days, are slight. The present study suggests, based on the LPJ model, that precipitation variability has a more severe impact than temperature variability on NPP, soil carbon, and vegetation carbon.  相似文献   

Spatial and temporal variability in the net primary production of alpine grassland on the Tibetan Plateau since 1982简   总被引：7，自引：4，他引：3  

ZHANG Yili  QI Wei  ZHOU Caiping  DING Mingjun  LIU Linshan  GAO Jungang  BAI Wanqi  WANG Zhaofeng  ZHENG Du 《地理学报(英文版)》2014,24(2):269-287

Based on the GIMMS AVHRR NDVI data （8 km spatial resolution） for 1982-2000, the SPOT VEGETATION NDVI data （1 km spatial resolution） for 1998-2009, and observa- tional plant biomass data, the CASA model was used to model changes in alpine grassland net primary production （NPP） on the Tibetan Plateau （TP）. This study will help to evaluate the health conditions of the alpine grassland ecosystem, and is of great importance to the pro- motion of sustainable development of plateau pasture and to the understanding of the func- tion of the national ecological security shelter on the TP. The spatio-temporal characteristics of NPP change were investigated using spatial statistical analysis, separately on the basis of physico-geographical factors （natural zone, altitude, latitude and longitude）, river basin, and county-level administrative area. Data processing was carried out using an ENVI 4.8 platform, while an ArcGIS 9.3 and ANUSPLIN platform was used to conduct the spatial analysis and mapping. The primary results are as follows： （1） The NPP of alpine grassland on the TP gradually decreases from the southeast to the northwest, which corresponds to gradients in precipitation and temperature. From 1982 to 2009, the average annual total NPP in the TP alpine grassland was 177.2x1012 gC yrl（yr represents year）, while the average annual NPP was 120.8 gC m^-2 yr^-1. （2） The annual NPP in alpine grassland on the TP fluctuates from year to year but shows an overall positive trend ranging from 114.7 gC m^-2 yr^-1 in 1982 to 129.9 gC m^-2 yr^-1 in 2009, with an overall increase of 13.3%; 32.56% of the total alpine grassland on the TP showed a significant increase in NPP, while only 5.55% showed a significant decrease over this 28-year period. （3） Spatio-temporal characteristics are an important control on an- nual NPP in alpine grassland： a） NPP increased in most of the natural zones on the TP, only showing a slight decrease in the Ngari montane desert-steppe and desert zone. The positive trend in NPP in the high-cold shrub-meadow zone, high-cold meadow steppe zone and high-cold steppe zone is more significant than that of the high-cold desert zone; b） with in- creasing altitude, the percentage area with a positive trend in annual NPP follows a trend of ＂increasing-stable-decreasing＂, while the percentage area with a negative trend in annual NPP follows a trend of ＂decreasing-stable-increasing＂, with increasing altitude; c） the varia- tion in annual NPP with latitude and longitude co-varies with the vegetation distribution; d） the variation in annual NPP within the major river basins has a generally positive trend, of which the growth in NPP in the Yellow River Basin is most significant. Results show that, based on changes in NPP trends, vegetation coverage and phonological phenomenon with time, NPP has been declining in certain places successively, while the overall health of the alpine grassland on the TP is improving.  相似文献   

青藏高原高寒草地净初级生产力(NPP)时空分异(英文)     

张镱锂  祁威  周才平  丁明军  刘林山  高俊刚  摆万奇  王兆锋  郑度 《地理学报(英文版)》2014,(2)

Based on the GIMMS AVHRR NDVI data(8 km spatial resolution) for 1982–2000, the SPOT VEGETATION NDVI data(1 km spatial resolution) for 1998–2009, and observational plant biomass data, the CASA model was used to model changes in alpine grassland net primary production(NPP) on the Tibetan Plateau(TP). This study will help to evaluate the health conditions of the alpine grassland ecosystem, and is of great importance to the promotion of sustainable development of plateau pasture and to the understanding of the function of the national ecological security shelter on the TP. The spatio-temporal characteristics of NPP change were investigated using spatial statistical analysis, separately on the basis of physico-geographical factors(natural zone, altitude, latitude and longitude), river basin, and county-level administrative area. Data processing was carried out using an ENVI 4.8 platform, while an ArcGIS 9.3 and ANUSPLIN platform was used to conduct the spatial analysis and mapping. The primary results are as follows:(1) The NPP of alpine grassland on the TP gradually decreases from the southeast to the northwest, which corresponds to gradients in precipitation and temperature. From 1982 to 2009, the average annual total NPP in the TP alpine grassland was 177.2×1012gC yr-1(yr represents year), while the average annual NPP was 120.8 gC m-2yr-1.(2) The annual NPP in alpine grassland on the TP fluctuates from year to year but shows an overall positive trend ranging from 114.7 gC m-2yr-1in 1982 to 129.9 gC m-2yr-1in 2009, with an overall increase of 13.3%; 32.56% of the total alpine grassland on the TP showed a significant increase in NPP, while only 5.55% showed a significant decrease over this 28-year period.(3) Spatio-temporal characteristics are an important control on annual NPP in alpine grassland: a) NPP increased in most of the natural zones on the TP, only showing a slight decrease in the Ngari montane desert-steppe and desert zone. The positive trend in NPP in the high-cold shrub-meadow zone, high-cold meadow steppe zone and high-cold steppe zone is more significant than that of the high-cold desert zone; b) with increasing altitude, the percentage area with a positive trend in annual NPP follows a trend of"increasing-stable-decreasing", while the percentage area with a negative trend in annual NPP follows a trend of "decreasing-stable-increasing", with increasing altitude; c) the variation in annual NPP with latitude and longitude co-varies with the vegetation distribution; d) the variation in annual NPP within the major river basins has a generally positive trend, of which the growth in NPP in the Yellow River Basin is most significant. Results show that, based on changes in NPP trends, vegetation coverage and phonological phenomenon with time, NPP has been declining in certain places successively, while the overall health of the alpine grassland on the TP is improving.  相似文献   

Examining Forest Net Primary Productivity Dynamics and Driving Forces in Northeastern China During 1982–2010   总被引：2，自引：2，他引：0  

MAO Dehua  WANG Zongming  WU Changshan  SONG Kaishan  REN Chunying 《中国地理科学(英文版)》2014,(6):631-646

Forest net primary productivity （NPP） is a key parameter for forest monitoring and management. In this study, monthly and annual forest NPP in the northeastern China from 1982 to 2010 were simulated by using Carnegie-Ames-Stanford Approach （CASA） model with normalized difference vegetation index （NDVI） sequences derived from Advanced Very High Resolution Radiometer （AVHRR） Global Invento y Modeling and Mapping Studies （GIMMS） and Terra Moderate Resolution Imaging Spectroradiometer （MODIS） products. To address the problem of data inconsistency between AVHRR and MODIS data, a per-pixel unary linear regres- sion model based on least ~;quares method was developed to derive the monthly NDVI sequences. Results suggest that estimated forest NPP has mean relative error of 18.97% compared to observed NPP from forest inventory. Forest NPP in the northeastern China in- creased significantly during the twenty-nine years. The results of seasonal dynamic show that more clear increasing trend of forest NPP occurred in spring and awmnn. This study also examined the relationship between forest NPP and its driving forces including the climatic and anthropogenic factors. In spring and winter, temperature played the most pivotal role in forest NPR In autumn, precipitation acted as the most importanl factor affecting forest NPP, while solar radiation played the most important role in the summer. Evaportran- spiration had a close correlation with NPP for coniferous forest, mixed coniferous broadleaved forest, and broadleaved deciduous forest. Spatially, forest NPP in the Da Hinggan Mountains was more sensitive to climatic changes than in the other ecological functional re- gions. In addition to climalie change, the degradation and improvement of forests had important effects on forest NPP. Results in this study are helpful for understanding the regional carbon sequestration and can enrich the cases for the monitoring of vegetation during long time series.  相似文献   

Development of an Instant Correction and Display System of Numerical Weather Prediction Products in China     

ZHANG Lanhui  WANG Shigong  ZHANG Yu  HE Chansheng  JIN Xin 《中国地理科学(英文版)》2014,(6):682-693

This paper presents the development of numerical prediction products （NPP） correction and display system （NPPCDS） for rapid and effective post-processing and displaying of the T213 NPP （numerical prediction products of the medium range numerical weather prediction spectral model T213L31） through instant correction method. The NPPCDS consists of two modules： an automatic correction module and a graphical display module. The automatic correction module automatically corrects the T213 NPP at regularly scheduled time intervals, while the graphical display module interacts with users to display the T213 NPP and its correction results. The system helps forecasters extract the most relevant information at a quick glance without extensive post-processing. It is simple, easy to use, and computationally efficient, and has been running stably at Huludao Meteorological Bureau in Liaoning Province of China for the past three years. Because of its low computational costs, it is particularly useful for meteorological departments that lack advanced computing capacity and still need to make short-range weather forecasting.  相似文献   

俄罗斯布里亚特共和国植被NPP时空分布格局及其对气候变化的响应     

任正超  朱华忠  史华  柳小妮 《资源与生态学报(英文版)》2011,(3):257-265

研究利用遥感和气象数据以及改进后的CASA模型（生物温度代替月均温）,估算俄罗斯布里亚特共和国2000-2008年的植被NPP,并验证模型的精度,分析该地区植被NPP的时空分布格局及其对气候变化的响应规律。研究结果表明：改进后的CASA模型具较高精度,可运用于布里亚特共和国植被NPP的估算。时间上,植被NPP年际上呈现为在波动中上升的趋势,月份上表现为先升后降的单峰变化趋势;空间上,植被NPP呈现出随经度的增加而增大,随纬度的增加而减小,由西南到东北逐渐递增的分布格局;不同植被类型的NPP从大到小依此为：草地、沼泽林〉森林〉森林、草原〉稀树草原〉高山植被。该地区植被NPP的变化主要受气温和降水量变化的作用。  相似文献