Spatial and temporal variations in C₃ and C₄ plant abundance over the Chinese Loess Plateau since the last glacial maximum     

Z. Yao  H. WuM. Liang  X. Shi 《Journal of Arid Environments》2011,75(10):881-889

Stable carbon isotopes of soil organic matter from 12 sites in the southern Chinese Loess Plateau are reviewed to examine spatial and temporal patterns of C₃ and C₄ plants in the arid to semiarid monsoonal region during three key periods - last glacial maximum, mid-Holocene, and modern. We have tentatively corrected the effects of atmospheric CO₂ concentrations and precipitation amounts on the δ¹³C endmembers for C₃ plants to reconstruct the relative proportion of C₄ plants because the δ¹³C values of C₃ plants are variable under different CO₂ and climate conditions. The results indicate that C₄ grasses increase from northwest to southeast spatially, which is consistent with present-day increasing precipitation and temperature patterns. This suggests that for a monsoon-dominant arid to semiarid region, such as the Loess Plateau, warm-season rainfall is a primary factor limiting C₄ plants growth, and thus C₄ grasses have been outcompeted by C₃ grasses/shrubs under cold-dry climate conditions. However, temporal fluctuations in atmospheric CO₂ concentration may also affect plant growth through altering water-use efficiency (WUE). Enhanced drought caused by decreased WUE due to low atmospheric CO₂ concentrations during glacial periods, combined with a cold-dry climate, leads to a decline in C₄ grasses, canceling out any advantages gained from lowered atmospheric CO₂ concentrations. To reconstruct accurately the abundance of C₃ and C₄ plants in an ecosystem and explore their controlling factors, process-based vegetation models integrating CO₂ and climatic parameters interactive with plant physiology are necessary.  相似文献   

Desertification in the Sahel: Towards better accounting for ecosystem dynamics in the interpretation of remote sensing images   总被引：3，自引：0，他引：3  

L. Hein  N. de RidderP. Hiernaux  R. LeemansA. de Wit  M. Schaepman 《Journal of Arid Environments》2011,75(11):1164-1172

To date, the interpretation of remote sensing images has not revealed wide-spread degradation of the vegetation in the Sahel. However, the interpretation of spectral information depends on a range of assumptions regarding the dynamics of the Sahelian vegetation as a function of rainfall variability and human management. Recent papers have presented diverging views on the vegetation dynamics of the Sahel and how these can be analysed with remote sensing images. We present a further analysis of the vegetation dynamics of semi-arid rangelands, in particular the Sahel, and the subsequent implications for the interpretation of remote sensing images. Specifically, the ecological processes driving the response of the Sahelian vegetation to rainfall variation are re-examined, and a regression analysis of NPP versus rainfall data is carried out. It is shown that the relation between the interannual variation in NPP and rainfall in the Sahel is non-linear and that this relation differs between sites with different average annual rainfall. It has been common practise in remote sensing studies for the Sahel to aggregate data from various Sahelian sites in order to obtain an average relation between rainfall, NPP and Rain Use Efficiency, and to assume these relations to be linear. This paper shows that this approach may lead to a bias in the interpretation of remote sensing images and that further work is required to clarify if wide-spread ecosystem degradation has occurred in the Sahel.  相似文献   

Changing climate affects vegetation growth in the arid region of the northwestern China   总被引：13，自引：0，他引：13  

X. Zhao  K. TanS. Zhao  J. Fang 《Journal of Arid Environments》2011,75(10):946-952

The northwestern China is a typical dry-land region of Inner Asia, where significant climate change has been observed over the past several decades. How the regional vegetation, particularly the grassland-oasis-desert complex, responds to such climatic change is poorly understood. To address this question, we investigated spatio-temporal changes in vegetation growth and their responses to a changing climate by biome and bioregion, using satellite-sensed Normalized Difference Vegetation Index (NDVI) data from 1982 to 2003, along with corresponding climate data. Over the past 22 years, about 30% of the total vegetated area showed an annual increase of 0.7% in growing season NDVI. This trend occurred in all biomes and all bioregions except Sawuer, a subregion of the study area with no significant climate change. Further analyses indicated that NDVI change was highly correlated with the current precipitation and evapotranspiration in growing season but was not associated with temperature. We also found that NDVI was positively correlated with the preceding winter precipitation. These findings suggest that precipitation may be the key cause of vegetation growth in this area, even for mountain forests and grasslands, whose growth are often regarded to be limited by low temperate in winter and early spring.  相似文献   

Landscape Controls on Structural Variation in Eucalypt Vegetation Communities: Woronora Plateau,Australia     

Ross B. Jenkins  Nicholas C. Coops 《The Australian geographer》2011,42(1):1-17

Quantification of landscape-based vegetation structural variation and pattern is a significant goal for a variety of ecological, monitoring and biodiversity studies. Vegetation structural metrics, derived from airborne laser scanning (ALS or aerial light detection and ranging—LiDAR) and QuickBird satellite imagery, were used to establish the degree of plot-based vegetation variation at a hillslope scale. Topographic position is an indicator of energy and water availability, and was quantified using DEM-based insolation and topographic wetness, respectively, stratifying areas into hot-warm-cold and wet-moist-dry topographic classes. A range of vegetation metrics—maximum and modal canopy height, crown cover, foliage cover, NDVI and semivariance—were compared among randomly selected plots from each topographic class. NDVI increases with increasing landscape wetness, whereas ALS-derived foliage cover decreases with increasing insolation. Foliage cover is well correlated with crown cover (R ² =0.65), and since foliage cover is readily calculable for whole-of-landscape application, it will provide valuable and complementary information to NDVI. Between-plot heterogeneity increases with increasing wetness and decreasing insolation, indicating that more sampling is required in these locations to capture the full range of landscape-based variability. Pattern analysis in landscape ecology is one of the fundamental requirements of landscape ecology, and the methods described here offer statistically significant, quantifiable and repeatable means to realise that goal at a fine spatial grain.  相似文献   

赤水河流域生态环境状况遥感监测分析          下载免费PDF全文

李慧璇  黄林峰  胡锋  宋善海  刘芸 《中低纬山地气象》2023,47(4):18-23

利用多源卫星遥感数据,对贵州赤水河流域2021年生态环境状况进行监测,定量评估赤水河流域的生态环境状况。结果表明：1）赤水河流域生态环境状况EI指数为68.15,生态环境状况综合评价为良;2）赤水河流域贵州段的土地利用类型主要以林地和耕地为主,流域监测区内生境质量为I级,生物多样性丰富;3）流域NDVI平均值0.42,植被覆盖度高,固土护坡、水源涵养能力较强;4）流域雨水充沛,河网密布,水网密度高达6.8;5）流域土地坡度起伏大,监测区内中度以上土地侵蚀强度的土地面积约占49%。相比,流域污染负荷指数较低,生态环境治理成效持续显现。  相似文献   

Vegetation and its relationship with geomorphologic units in the Parana River floodplain,Argentina     

《Journal of South American Earth Sciences》2013

The Parana River is one of the most important fluvial systems of South America and its floodplain includes the most diverse subtropical ecosystem on the continent. However, the relationship between basic aspects, such as the vegetation and geomorphology of the river floodplain, has scarcely been investigated. In this paper, the annual dynamics of vegetation in relation to the geomorphologic and hydrological characteristics of a river floodplain around 31° 30′ S, are analyzed. The annual dynamics of vegetation was investigated using values of the Normalized Difference Vegetation Index (NDVI) obtained from satellite images at two scales of spatial analysis: the first, at the geomorphologic unit level, through several transects crossing the total width of each unit and, the second, through some transects selected from each unit. Our analysis considered variables of different temporal stability (such as geomorphology, hydrology, vegetation, precipitation, and ground temperature), using scenes corresponding to two hydrological cycles of the system (2009 and 2010), which represented relatively “dry” and “humid” years. Five main geomorphologic units were identified in the floodplain of this anabranching system, which were named considering the predominant landforms and the most important (or typical) water course of each area: Bars and Islands of the Main Channel of the Parana River (BI-MCH), Scroll Bars of the Colastine Branch (SB-C), Scroll Bars of the San Javier River Channel (SB-SJ), Crevasse Splays and Levees of the Malo–Mendieta minor channels (CSL-MM), and Crevasse Splays and Levees of the Santa Fe–Coronda river channels (CSL-SFC). These major units are assembled at different general levels and with variable slopes, which partially control the permanence and other characteristics of the flood flow. The crevasse splays and river levees units were predominantly characterized by herbaceous–bushy marshy vegetation, with low mean NDVI values, while SB-C and BI-MCH units showed two types of forests. The latter showed the highest NDVI values. Unit SB-SJ showed mixed characteristics between the two above-mentioned groups. Mean NDVI values were different among the varying geomorphologic units and during the studied years, showing extreme values of 0.25 and 0.80 after both hydrological cycles. According to our results, the main variations in the seasonal dynamics of vegetation show a higher dependence on the dynamics of the hydrological cycle than on surface temperature or precipitation. The hydrological dynamics of the Parana River floodplain are in turn regulated by its geomorphological architecture, so the annual dynamics of vegetation activity in this system are finally influenced by the geomorphologic unit's level, rather than by the short duration modeling processes (i.e., hydrological cycles or drought–flood pulses).  相似文献   

城市土地利用对植被特征影响的研究   总被引：17，自引：0，他引：17  

赵海霞  江源  刘全儒 《地球科学进展》2002,17(2):247-253

城市土地利用对植被的影响是城市生态学中研究的重要问题。简单综述了国内外在该领域中的研究现状。通过在北京市进行的研究，对城市植被的特点及其与土地利用的关系进行了分析，结论为：①藜科（Chenpodiac eae）和蓼科（Polygonac eae）植物种类数量相对增加，归化植物占的比例大是城市植物区系的特征；②与非城市区域相比，生活型谱中一二年生植物比例增高，属的区系地理成分构成中世界分布属所占比例也明显提高；③城市土地利用类型对生境和植物群落特征的影响明显；④生境多样化对维持城市植物物种多样性而言，比面积大小具有更为显著的作用。  相似文献   

遥感技术在植物物候研究中的应用综述   总被引：24，自引：1，他引：24  

张学霞  葛全胜  郑景云 《地球科学进展》2003,18(4):534-544

通过遥感技术研究植物物候现象的机理分析,认为植被指数可反映植被各物候期的特征。国内外在探测植物生长季始末日期、花期变化、净第一性生产力变化、全球碳收支等方面的研究促进了植物物候的发展;同样物候研究也可提高遥感影像植物分类和作物估产的精度,同时可促进高光谱遥感的发展。通过我国物候研究从传统的农林业应用转向注重遥感探测、生态学应用的现状分析,展望了我国物候发展方向：关注植物生长季始末时间的时空分布规律;遥感监测植物季相变化;遥感监测植物花期;注重探讨植物生理和生态特征;植物高光谱遥感物候研究;重视物候科普普及工作。  相似文献   

不同河岸植物带对非点源污染河水污染物降解的试验研究   总被引：1，自引：0，他引：1       下载免费PDF全文

徐成斌  于宁  马溪平  艾娇  张营  张利红 《气象与环境学报》2008,24(6):63-66

利用2种植物带(芦苇、香蒲与芦苇)对受非点源污染河水进行植物带处理污染物的降解效果模拟试验研究。结果表明,植物带处理污染物的降解效果明显优于无植物带,且以混合植物带效果最好。香蒲与芦苇植物带对COD、TN、TP和NH3-N去除率的周平均值分别为31.62%、37.84%、30.65%和34.31%。植物带能够截留地表径流中的颗粒物,提高水域中的溶解氧含量,对防止水土流失与改善流域水质均有显著作用。  相似文献   

The effects of scene heterogeneity on soil moisture retrieval from passive microwave data   总被引：1，自引：0，他引：1  

Ian J. Davenport  Melody J. SandellsRobert J. Gurney 《Advances in water resources》2008

The τ–ω model of microwave emission from soil and vegetation layers is widely used to estimate soil moisture content from passive microwave observations. Its application to prospective satellite-based observations aggregating several thousand square kilometres requires understanding of the effects of scene heterogeneity. The effects of heterogeneity in soil surface roughness, soil moisture, water area and vegetation density on the retrieval of soil moisture from simulated single- and multi-angle observing systems were tested. Uncertainty in water area proved the most serious problem for both systems, causing errors of a few percent in soil moisture retrieval. Single-angle retrieval was largely unaffected by the other factors studied here. Multiple-angle retrievals errors around one percent arose from heterogeneity in either soil roughness or soil moisture. Errors of a few percent were caused by vegetation heterogeneity. A simple extension of the model vegetation representation was shown to reduce this error substantially for scenes containing a range of vegetation types.  相似文献