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1.
美国俄亥俄州土壤有机碳密度空间分布(英文)   总被引:2,自引:1,他引:1  
Historical database of National Soil Survey Center containing 1424 geo-referenced soil profiles was used in this study for estimating the organic carbon(SOC) for the soils of Ohio,USA.Specific objective of the study was to estimate the spatial distribution of SOC density(C stock per unit area) to 1.0-m depth for soils of Ohio using geographically weighted regression(GWR),and compare the results with that obtained from multiple linear regression(MLR).About 80% of the analytical data were used for calibration and 20% for validation.A total of 20 variables including terrain attributes,climate data,bedrock geology,and land use data were used for mapping the SOC density.Results showed that the GWR provided better estimations with the lowest(3.81 kg m 2) root mean square error(RMSE) than MLR approach.Total estimated SOC pool for soils in Ohio ranged from 727 to 742 Tg.This study demonstrates that,the local spatial statistical technique,the GWR can perform better in capturing the spatial distribution of SOC across the study region as compared to other global spatial statistical techniques such as MLR.Thus,GWR enhances the accuracy for mapping SOC density.  相似文献   

2.
The role of remote sensing in phenological studies is increasingly regarded as a key to understand large area seasonal phenomena. This paper describes the application of Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for forest phenological patterns. The forest phenological phase of Northeast China (NE China) and its spatial characteristics were inferred using 1-km 10-day MODIS normalized difference vegetation index (NDVI) datasets of 2002. The threshold-based method was used to estimate three key forest phenological variables, which are the start of growing season (SOS), the end of growing season (EOS) and growing season length (GSL).Then the spatial patterns of forest phenological variables of NE China were mapped and analyzed. The derived phenological variables were validated by the field observed data from published papers in the same study area. Results indicate that forest phenological phase from MODIS data is comparable with the observed data. As the derived forest phenological pattern is related to forest type distribution, it is helpful to discriminate between forest types.  相似文献   

3.
The spatially explicit reconstruction of historical land-cover datasets plays an important role in studying the climatic and ecological effects of land-use and land-cover change(LUCC). Using potential natural vegetation(PNV) and satellite-based land use data, we determined the possible maximum distribution extent of forest cover in the absence of human disturbance. Subsequently, topography and climate factors were selected to assess the suitability of land for cultivation. Finally, a historical forest area allocation model was devised on the basis of the suitability of land for cultivation. As a case study, we used the historical forest area allocation model to reconstruct forest cover for 1780 and 1940 in Northeast China with a 10-km resolution. To validate the model, we compared satellite-based forest cover data with our reconstruction for 2000. A one-sample t-test of absolute bias showed that the two-tailed significance was 0.12, larger than the significant level 0.05, suggesting that the model has strong ability to capture the spatial distribution of forests. In addition, we calculated the relative difference of our reconstruction at the county scale for 1780 in Northeast China. The number of counties whose relative difference ranged from-30% to 30% is 99, accounting for 74.44% of all counties. These findings demonstrated that the provincial forest area could be transformed into forest cover maps well using the model.  相似文献   

4.
Surface albedo is a primary causative variable associated with the process of surface energy exchange. Numerous studies have examined diurnal variation of surface albedo at a regional scale; however, few studies have analyzed the intra-annual variations of surface albedo in concurrence with different land cover types. In this study, we amalgamated surface albedo product data(MCD43) from 2001 to 2008, land-use data(in 2000 and 2008) and land cover data(in 2000); quantitative analyses of surface albedo variation pertaining to diverse land cover types and the effect of the presence/absence of ground snow were undertaken. Results indicate that intra-annual surface albedo values exhibit flat Gaussian or triangular distributions depending upon land cover types. During snow-free periods, satellite observed surface albedo associated with the non-growing season was lower than that associated with the growing season. Satellite observed surface albedo during the presence of ground snow period was 2–4 times higher than that observed during snow-free periods. Surface albedo reference values in typical land cover types have been calculated; notably, grassland, cropland and built-up land were associated with higher surface albedo reference values than barren while ground snow was present. Irrespective of land cover types, the lowest surface albedo reference values were associated with forested areas. Proposed reference values may prove extremely useful in diverse research areas, including ecological modeling, land surface process modeling and radiation energy balance applications.  相似文献   

5.
基于GIS的中国人口重心的密度分级与曲线特征   总被引:1,自引:1,他引:0  
In this paper, with the spatial analysis functions in ArcGIS and the county-level census data of 2000 in China, the population density map was divided and shown by classes, meanwhile, the map system of population distribution and a curve of population centers were formed; in accordance with the geographical proximity principle, the classes of population densities were reclassified and a population density map was obtained which had the spatial clustering characteristic. The multi-layer superposition based on the population density classification shows that the population densities become denser from the Northwest to the Southeast; the multi-layer clustering phenomenon of the Chinese population distribution is obvious, the populations have a water-based characteristic gathering towards the rivers and coastlines. The curve of population centers shows the population densities transit from the high density region to the low one on the whole, while in low-density areas there are relatively dense areas, and in high-density areas there are relatively sparse areas. The reclassification research on the population density map based on the curve of population centers shows that the Chinese population densities can be divided into 9 classes, hereby, the geographical distribution of Chinese population can be divided into 9 type regions: the concentration core zone, high concentration zone, moderate concentration zone, low concentration zone, general transitional zone, relatively sparse area, absolute sparse area, extreme sparse area, and basic no-man's land. More than 3/4 of the population of China is concentrated in less than 1/5 of the land area, and more than half of the land area is inhabited by less than 2% of the population, the result reveals a better space law of China’s population distribution.  相似文献   

6.
Geographically explicit historical land use and land cover datasets are increasingly required in studies of climatic and ecological effects of human activities. In this study, using historical population data as a proxy, the provincial cropland areas of Qinghai province and the Tibet Autonomous Region(TAR) for 1900, 1930, and 1950 were estimated. The cropland areas of Qinghai and the TAR for 1980 and 2000 were obtained from published statistical data with revisions. Using a land suitability for cultivation model, the provincial cropland areas for the 20 th century were converted into crop cover datasets with a resolution of 1 × 1 km. Finally, changes of sediment retention due to crop cover change were assessed using the sediment delivery ratio module of the Integrated Valuation of Ecosystem Services and Trade-offs(InVEST) model(version 3.3.1). There were two main results.(1) For 1950–1980 the fractional cropland area increased from 0.32% to 0.48% and land use clearly intensified in the Tibetan Plateau(TP), especially in the Yellow River–Huangshui River Valley(YHRV) and the midstream of the Yarlung Zangbo River and its two tributaries valley(YRTT). For other periods of the 20 th century, stability was the main trend.(2) For 1950–1980, sediment export increased rapidly in the Minhe autonomous county of the YHRV, and in the Nianchu River and Lhasa River basins of the YRTT, which means that sediment retention clearly decreased in these regions over this period. The results of this assessment provide scientific support for conservation planning, development planning, or restoration activities.  相似文献   

7.
Based on four phases of TM images acquired in 1990, 1995, 2000 and 2005, this paper took Kitakyushu in Japan as a case study to analyze spatial change of land use landscape and corresponding effects on environmental issues guided by landscape ecology theory in virtue of combining technology of Remote Sensing with GIS. Firstly, land use types were divided into 6 classes (farmland, mountain, forestland, water body, urban land and unused land) according to national classification standard of land use, comprehensible ability of TM image and purpose of this study. Secondly, following the theory of landscape ecology analysis, 11 typical landscape indices were abstracted to evaluate the environmental effects and spatial feature changes of land use. Research results indicated that land use has grown more and more diversified and unbalanced, human activities have disturbed the landscape more seriously. Finally, transfer matrix of Markov was applied to forecast change process of land use in the future different periods, and then potential land use changes were also simulated from 2010 to 2050. Results showed that conversion tendency for all types of land use in Kitakyushu into urban construction land were enhanced. The study was anticipated to help local authorities better understand and address a complex land use system, and develop improved land use management strategies that could better balance urban expansion and ecological conservation.  相似文献   

8.
In order to advance land use and land cover change(LUCC) research in Nepal, it is essential to reconstruct both the spatiotemporal distribution of agricultural land cover as well as scenarios that can explain these changes at the national and regional levels. Because of rapid population growth, the status of agricultural land in Nepal has changed markedly over the last 100 years. Historical data is used in this study, encompassing soils, populations, climatic variables, and topography. Data were revised to a series of 30 m grid cells utilized for agricultural land suitability and allocation models and were analyzed using a suite of advanced geographical tools. Our reconstructions for the spatiotemporal distribution of agricultural land in Nepal reveal an increasing trend between 1910 and 2010(from 151.2 × 10~2 km~2 to 438.8 × 10~2 km~2). This expanded rate of increase in agricultural land has varied between different eco, physiographic, and altitudinal regions of the country, significantly driven by population changes and policies over the period of this investigation. The historical dataset presented in this paper fills an existing gap in studies of agricultural land change and can be applied to other carbon cycle and climate modeling studies, as well as to impact assessments of agricultural land change in Nepal.  相似文献   

9.
Finding accurate methods for estimating and mapping land prices at the macro-scale based on publicly accessible and low-cost spatial data is an essential step in producing a meaningful reference for regional planners.This asset would assist them in making economically justified decisions in favor of key investors for development projects and post-disaster recovery efforts.Since 2005,the Ministry of Land,Infrastructure,and Transport of Japan has made land price data open to the public in the form of observations at dispersed locations.Although this data is useful,it does not provide complete information at every site for all market participants.Therefore,estimating and mapping land prices based on sound statistical theories is required.This paper presents a comparative study of spatial prediction of land prices in 2015 in Fukushima prefecture based on geostatistical methods and machine learning algorithms.Land use,elevation,and socioeconomic factors,including population density and distance to railway stations,were used for modeling.Results show the superiority of the random forest algorithm.Overall,land prices are distributed unevenly across the prefecture with the most expensive land located in the western region characterized by flat topography and the availability of well-connected and highly dense economic hotspots.  相似文献   

10.
Scenarios of land cover in Eurasia under climate change   总被引:2,自引:1,他引:1  
Fan  Zemeng  Bai  Ruyu  Yue  Tianxiang 《地理学报(英文版)》2020,30(1):3-17
The method for surface modelling of land cover scenarios(SMLCS) has been improved to simulate the scenarios of land cover in Eurasia. On the basis of the observation monthly climatic data observed from 2127 weather stations in Eurasia during 1981–2010, the climatic scenarios data of RCP26, RCP45 and RCP85 scenarios released by CMIP5, and the land cover current data of Eurasia in 2010, the land cover scenarios of Eurasia were respectively simulated. The results show that most land cover types would generally have similar changing trends in the future, but with some difference in different periods under the three scenarios of RCP26, RCP45 and RCP85. Deciduous needleleaf forest, mixed forest, shrub land, wetlands and snow and ice would generally decrease in Eurasia during 2010–2100. Snow and ice would have the fastest decreasing rate that would decrease by 37.42% on average. Shrub land would have the slowest decreasing rate that would decrease by 5.65% on average. Water bodies would have the fastest increasing rate that would increase by 28.78% on average. Barren or sparsely vegetated land would have the slowest increasing rate that would increase by 0.76%. Moreover, the simulated results show that climate change would directly impact on land cover change in Eurasia.  相似文献   

11.
伏牛山地森林植被物候及其对气候变化的响应   总被引:4,自引:1,他引:3  
研究植被物候是理解植被与气候关系的重要途径。在植被对气候变化响应的敏感地区,开展植被物候研究有助于揭示气候变化对植被的影响机制。基于2000-2015年MODIS EVI时间序列影像数据,利用Savitzky-Golay (S-G)滤波方法和动态阈值法提取伏牛山地2000-2015年森林植被物候参数,结合气温、降水数据,运用Man-Kendall趋势检验、Sen斜率、ANUSPLIN插值和相关性分析等方法,研究伏牛山地森林植被物候对气候要素(气温、降水)变化的响应。结果表明:① 伏牛山地森林植被生长季始期主要集中在第105~120 d,生长季末期主要集中在第285~315 d,生长季长度主要集中在165~195 d。从海拔梯度看,随海拔升高,生长季始期、末期和长度整体上分别呈显著推迟、提前及缩短趋势。② 生长季始期和生长季末期整体上呈推迟趋势,推迟的像元分别占森林植被的76.57%和83.81%。生长季长度整体呈延长趋势,延长的像元占比为61.21%。生长季始期变化特征主要是由该地区的春季气温降低所导致的。③ 研究区森林植被生长季始期与3月平均气温呈显著偏相关,且呈负相关的区域最多,即3月平均气温降低,导致生长季始期推迟;生长季末期与9月降水呈显著偏相关区域最多,且两者主要呈正相关,即9月降水增加,使生长季末期推迟。植被生长季长度由整个生长期的气温和降水来共同作用,对大多数的区域而言,8月的平均气温和降水与生长季长度的关系最为密切。  相似文献   

12.
草原物候是草原生态系统气候变化的敏感指示器,探索物候变化与气候变化的关系,对草原生态系统保护及全球气候变化研究具有重要意义。以呼伦贝尔草原为研究对象,基于2000—2015年MOD09Q1数据和气象数据,利用D-L拟合法对NDVI时间序列进行重构,采用动态阈值法提取草原物候期,利用相关分析法,分析了物候与气象因子之间的关系。研究表明:(1)返青期发生时间介于4月下旬~6月上旬(平均为第138 d),枯黄期发生时间介于9月~10月下旬(平均为第277 d),生长季长度主要在3. 5~6个月之间(平均为136 d)。空间上,西部和北部返青期较早,枯黄期较晚,生长季长度最长;中东部返青期较晚,枯黄期较早,生长季长度较短。(2)年际变化趋势上,返青期和枯黄期均以提前趋势为主,提前趋势的像元比例分别为61. 2%和63. 83%,生长季长度以延长趋势为主,延长趋势的像元占比为54. 95%。(3)冬季降水增加是返青期提前的主要原因,而春季降水增多和秋季温度升高是枯黄期提前的主要原因。研究结果有助于加深物候对气候变化响应的认识,以期更好地为草原物候研究和放牧优化管理提供参考。  相似文献   

13.
邵亚婷  王卷乐  严欣荣 《地理研究》2021,40(11):3029-3043
蒙古高原是中国重要的北方生态屏障。在全球气候变化的背景下,研究蒙古国植被物候变化特征对于认识蒙古国草地生态系统对气候变化的响应和促进区域畜牧业可持续发展具有重要意义。本研究利用非对称高斯拟合法对蒙古国2001—2019年MOD13Q1产品中的归一化植被指数(Normalized Differential Vegetation Index,NDVI)数据拟合,得到较为平滑的NDVI时间序列数据;基于TIMESAT平台,采用动态阈值法分析获得蒙古国连续19a植被物候数据。研究分析了蒙古国植被物候的空间分布及年际变化趋势,发现蒙古国植被返青期(Start of growing season,SOS)主要集中在110~150d,总体呈微弱推迟趋势,植被枯黄期(End of growing season,EOS)主要集中在270~310d,总体呈提前趋势,从而导致蒙古国生长季长度(Length of growing season,LOS)呈缩短趋势,且缩短时间最长可达2d以上。采用偏相关分析方法分析了植被物候对地形、降水、地表温度等地理要素的响应,表明蒙古国植被物候具有明显的空间异质性和海拔依赖性,不同植被物候对降水、地表温度(Land Surface Temperature,LST)的响应不同,SOS与日间LST呈显著正相关,EOS与夜间LST呈显著正相关,而LOS与年均降水呈显著负相关关系。  相似文献   

14.
Near-surface remote sensing (e.g., digital cameras) has played an important role in capturing plant phenological metrics at either a focal or landscape scale. Exploring the relationship of the digital image-based greenness index (e.g., Gcc, green chromatic coordinate) with that derived from satellites is critical for land surface process research. Moreover, our understanding of how well Gcc time series associate with environmental variables at field stations in North American prairies remains limited. This paper investigated the response of grass Gcc to daily environmental factors in 2018, such as soil moisture (temperature), air temperature, and solar radiation. Thereafter, using a derivative-based phenology extraction method, we evaluated the correspondence between key phenological events (mainly including start, end and length of growing season, and date with maximum greenness value) derived from Gcc, MODIS and VIIRS NDVI (EVI) for the period 2015-2018. The results showed that daily Gcc was in good agreement with ground-level environmental variables. Additionally, multivariate regression analysis identified that the grass growth in the study area was mainly affected by soil temperature and solar radiation, but not by air temperature. High frequency Gcc time series can respond immediately to precipitation events. In the same year, the phenological metrics retrieved from digital cameras and multiple satellites are similar, with spring phenology having a larger relative difference. There are distinct divergences between changing rates in the greenup and senescence stages. Gcc also shows a close relationship with growing degree days (GDD) derived from air temperature. This study evaluated the performance of a digital camera for monitoring vegetation phenological metrics and related climatic factors. This research will enable multiscale modeling of plant phenology and grassland resource management of temperate prairie ecosystems.  相似文献   

15.
1 IntroductionPhenology is the study ofthe recurring vegetation cycles and theirconnection to the surroundingenvironm ental factors such as clim ate, hydrology, soil, etc. (W an et al., 1987). Phenologicalrecords provide an integrative indication of the s…  相似文献   

16.
The role of remote sensing in phenological studies is increasingly regarded as a key to understand large area seasonal phenomena. This paper describes the application of Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for forest phenological patterns. The forest phenological phase of Northeast China (NE China) and its spatial characteristics were inferred using 1-km 10-day MODIS normalized difference vegetation index (NDVI) datasets of 2002. The threshold-based method was used to estimate three key forest phenological variables, which are the start of growing season (SOS), the end of growing season (EOS) and growing season length (GSL). Then the spatial patterns of forest phenological variables of NE China were mapped and analyzed. The derived phenological variables were validated by the field observed data from published papers in the same study area. Results indicate that forest phenological phase from MODIS data is comparable with the observed data. As the derived forest phenological pattern is related to forest type distribution, it is helpful to discriminate between forest types.  相似文献   

17.
李婷婷  郭增长  马超 《地理研究》2022,41(11):3000-3020
基于1982—2015年GIMMS NDVI 3g V1.0数据、3小时温度、逐日降水和日太阳辐射数据集、数字高程模型、中国植被区划数据及实测物候验证数据,利用季节性植被物候提取法、Theil-Sen median趋势分析法和偏最小二乘回归分析等方法,研究中国第二、三级阶梯地形过渡带植被物候的时空变化规律,探讨植被物候对海拔、经纬度和气候变化的响应。结果表明:① 34 a间过渡带山前植被物候时空变化显著。时间上,植被物候呈返青期(Start Of Season, SOS)提前(-0.3187 d/a, p<0.01)、枯黄期(End Of Season, EOS)推迟(0.1171 d/a, p>0.1)和生长季长度(Length Of Growing Season, LOS)延长(0.4358 d/a, p<0.01)趋势;空间上,按SOS像元的86.24%提前、EOS像元的69.66%推迟和LOS像元的84.42%延长分布。② 34 a间过渡带山前植被物候地带性特征明显。垂直地带性方面,在中低纬度地区的物候始末期受以400 m等高线为界的海拔梯度影响,由平原到山地产生SOS平均提前8d,EOS提前25~36 d的分段式变化;水平地带性方面,低纬度和中高纬度地区的植被物候以35°N(秦岭-淮河一线,中国南北方的分界线)、43.5°N(暖温带落叶阔叶林区与温带草原区的分界)为转折点,由南向北SOS以-0.78 d/°、4.89 d/°和-1.56 d/°分段变化,EOS以-3.96 d/°、-1.85 d/°和0.89 d/°分段变化。③ 34 a间过渡带植被物候受气象因素驱动。对于植被返青期,气温对中纬度地区SOS的影响最大,降水的贡献随着纬度的降低而增大,太阳辐射在中纬度地区的贡献力大于低纬度地区;对于植被枯黄期,中纬度地区对EOS的多因素贡献力为太阳辐射>气温>降水(太阳辐射对草原区无贡献力),低纬度地区贡献力排序与之相反;本研究对宏观地理带中不同植被区划的物候变化认知有学术意义,也为地理因素与气候因素共同影响的植被物候变化提供了新的认识。  相似文献   

18.
Vegetation phenology is a sensitive indicator of global warming, especially on the Tibetan Plateau. However, whether climate warming has enhanced the advance of grassland phenology since 2000 remains debated and little is known about the warming effect on semiarid grassland phenology and interactions with early growing season precipitation. In this study, we extracted phenological changes from average NDVI in the growing season (GNDVI) to analyze the relationship between changes in NDVI, phenology and climate in the Northern Tibetan Damxung grassland from 2000 to 2014. The GNDVI of the grassland declined. Interannual variation of GNDVI was mainly affected by mean temperature from late May to July and precipitation from April to August. The length of the growing season was significantly shortened due to a delay in the beginning of the growing season and no advancement of the end of the growing season, largely caused by climate warming and enhanced by decreasing precipitation in spring. Water availability was the major determinant of grass growth in the study area. Warming increased demand for water when the growth limitation of temperature to grass was exceeded in the growing season. Decreased precipitation likely further exacerbated the effect of warming on vegetation phenology in recent decades due to increasing evapotranspiration and water limitations. The comprehensive effects of global warming and decreasing precipitation may delay the phenological responses of semiarid alpine grasslands.  相似文献   

19.
Zhu  Wenbo  Zhang  Xiaodong  Zhang  Jingjing  Zhu  Lianqi 《地理学报(英文版)》2019,29(1):131-145
Journal of Geographical Sciences - This paper reports the phenological response of forest vegetation to climate change (changes in temperature and precipitation) based on Moderate Resolution...  相似文献   

20.
据我国农业气候调查和考察资料,分析不同山区光热水农业气候变量在垂直和水平方向的变化规律,提出山地农业气候资源具有立体性、多层性、多样性和多宜性的特征,建立山区农业气候资源垂直分层模式;据人力、物力、耕地、物价等社会条件和经济效益等因素约束,应用系统决策寻找山区不同层次最佳的作物布局和农作制,探讨农业合理布局的生态气候效益及开发山区资源优势的途径。  相似文献   

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