云南石林景区主要乡土植物物候特征的初步研究

为掌握石林景区主要乡土植物物候节律,选择25科35种乡土植物,对其物候特征与同期主要气象因子进行了2 a平行观测。结果表明,在2月气温达到10℃,有46%的植物开始萌动;3月气温持续增高并超过15℃,展叶的植物最多,占57.1%;开花期集中在3~6月,尤其在5月温度超过20℃,有82.9%的树种开花;果实成熟期则分散在4~12月。各个物候期的平均温度和≥5℃积温与植物物候表现较为密切,光照和温度对植物开花和结实期影响较大。根据乡土植物物候特征,结合喀斯特山地自然景观特点和景区适配植物群落建设,提出“石中有树,树中有石”的配置原则,筛选在时空格局上适应喀斯特山地环境的观赏植物,构建出与石林喀斯特景观相协调的植被景观,增加景区景观和生态价值,提升景区的内涵。     

The reproductive phenology of Isoetes lacustris L.: Results of field studies in Scandinavian lakes

The phenologic change of the leaf rosette structure of Isoetes lacustris L. was studied in 26 lakes of temperate, boreal, or subarctic Scandinavia between 59° and 70° n.l. The investigations were carried out during six defined seasons: late winter, spring, early summer, late summer, autumn, and early winter. From 640 plants, gained with the aid of SCUBA, six leaf types were distinguished: immature megasporophylls, mature megasporophylls, immature microsporophylls, mature microsporophylls, and sporophylls that had released their spores and leaves with undeveloped sporangia. Mean numbers per rosette of each leaf type were established in each study lake and study season, resulting in a common pattern embracing all lakes studied.

Megasporophylls are developed throughout the year, whenever the water temperature is about 10 °C. Their share was always more than 30%, excepting winter. Microsporophylls are produced preferentially in spring/early summer when the days are longest; they amount to more than 50% of the rosette leaves during this period, but only to some 10% in the remaining seasons. The spores mature and are released between late summer and early winter. It is concluded that not all spores mature in the year of their birth, and those that do not mature are released in the early summer of the following year, as well as the old empty leaves become detached.     

新疆沙冬青(Ammopiptanthus nanus）的开花物候与环境的关系

 对自然生境与迁地保护条件下开花物候的比较观察结果表明：新疆沙冬青每年开一次花,具有相同的开花频率;自然种群的始花期及进入开花高峰期的时间比迁地保护种群晚,开花持续时间长,二者在始花日期(F=764.23, P<0.001 )及持续时间(F=46.50, P<0.01)上存在极显著和显著差异;自然种群每花序的开花数比迁地保护种群多,开放持续时间长,二者均存在极显著差异（F=80.10, P<0.001和F=84.06, P<0.001);花序开放持续时间的频率分布明显不同,迁地保护种群较自然种群更为集中;花序上花的开放顺序基本相似,均从花序近基部向两端开放;单花寿命较稳定;花序开花振幅明显不同,自然种群呈双峰不规则间断开花式样,迁地保护种群呈单峰集中开花式样;花序的开花时间、开花数、座果数间均存在一定程度的相关性,但在不同生境下其相关性的表现有所不同。在上述开花参数中,种群的开花频率以及花序的开花顺序和单花开放持续时间在不同的环境条件下表现一致,而个体与种群的开花时间和开花持续时间、花序的开花数与持续时间及开花振幅则表现不同,说明其与生长的环境条件存在密切的联系。     

新疆物候(候鸟)与气候因子关系分析

通过对新疆10个站4种候鸟物候及相应气候因子变化的关系分析,得出候鸟停留时间与同期日照时数及≥0℃的积温关系密切,并经过数理统计,得出用气候因子预测候鸟停留时间的数学模式,对预知一定生态环境中鸟类的迁徙具有一定指导意义。     

Accounting for phenology in maize yield prediction using remotely sensed dry dekads

Rain-fed agriculture is threatened by an increased frequency of droughts worldwide thereby putting millions of livelihoods at risk especially in sub-Saharan Africa. This makes drought preparedness critical. In this study, we sought to establish whether maize yield can be predicted using the number of dry dekads that occur at specific maize growth stages for purposes of yield early warning. The dry dekads were derived from remotely sensed Vegetation Condition Index calculated from the SPOT NDVI time series ranging from 1998 to 2013. Regression between dry dekads and maize yield show a negative linear relationship for four growing seasons (2010–2013) and indicates that dry dekads at both the vegetative and reproductive stages are important for predicting maize yield. Results suggest that early warning alert could be given using dry dekads that occur at the vegetative stage, while those at the reproductive stage can be used to give better yield estimate later on.     

Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data

Wheat is a major staple food crop in China. Accurate and cost-effective wheat mapping is exceedingly critical for food production management, food security warnings, and food trade policy-making in China. To reduce confusion between wheat and non-wheat crops for accurate growth stage wheat mapping, we present a novel approach that combines a random forest (RF) classifier with multi-sensor and multi-temporal image data. This study aims to (1) determine whether an RF combined with multi-sensor and multi-temporal imagery can achieve accurate winter wheat mapping, (2) to find out whether the proposed approach can provide improved performance over the traditional classifiers, and (3) examine the feasibility of deriving reliable estimates of winter wheat-growing areas from medium-resolution remotely sensed data. Winter wheat mapping experiments were conducted in Boxing County. The experimental results suggest that the proposed method can achieve good performance, with an overall accuracy of 92.9% and a kappa coefficient (κ) of 0.858. The winter wheat acreage was estimated at 33,895.71?ha with a relative error of only 9.3%. The effectiveness and feasibility of the proposed approach has been evaluated through comparison with other image classification methods. We conclude that the proposed approach can provide accurate delineation of winter wheat areas.     

亚洲高山区积雪物候时空动态及其对气候变化的响应

以亚洲高山区为研究区,在对2000—2020年逐日MODIS积雪产品进行去云处理的基础上提取了每一水文年的积雪日数（snow-covered days, SCD）、积雪开始日期（snow onset date, SOD）、积雪结束日期（snow end date, SED）和积雪持续日数（snow duration days, SDD）等积雪物候参数,并分析了积雪物候时空动态特征及其与气候变化的响应关系。结果表明：亚洲高山区积雪物候空间差异较大,并呈现出主要受海拔影响的垂直地带性分布规律。研究区SED主要集中在3—6月,在低海拔区SED出现在3月份及以前,而高海拔山区则推迟到6月份及以后;SOD主要集中在9—12月,高海拔山脉及高纬度地区的SOD出现较早,而低海拔区的SOD多出现在11月及以后。近20年,研究区SDD主要呈缩短趋势,在13.5%的区域呈显著缩短,而仅7.4%的区域为显著延长;SED主要呈提前趋势,在15.8%的区域显著提前,而仅8.8%的区域为显著推迟;SOD主要呈推迟趋势,在11.4%的区域表现为显著推迟,在8.2%的区域为显著提前。亚洲高山区积雪物候年际变化对气候变化的响应关系明显,积雪累积期气温是影响SOD年际变化的主导因子,而融雪期气温是影响SED年际变化的主导因子;气温的上升,导致了SOD的推迟、SED的提前和SDD的缩短。     

气温对巴楚县乔木物候的影响

利用新疆巴楚气象站1987—2013年物候资料和气象资料,运用线性回归、t检验、相关分析等方法,分析了巴楚县气温和乔木物候期的变化特征,以及气温对植物物候期的影响。结果表明：近27a巴楚县乔木春季展叶始期表现出明显提前趋势,秋季叶变色始期表现出推迟趋势,生长季明显延长;3月份气温对展叶始期的影响最显著,巴楚县3月份气温每上升1℃,乔木展叶始期提前2.6d。     

CART and IDC – based classification of irrigated agricultural fields using multi-source satellite data

To understand water productivity of crops cultivated in the Eastern Province of Saudi Arabia, this study was conducted to generate a reliable crop type map using a multi-temporal satellite data (ASTER, Landsat-8 and MODIS) and crop phenology. Classification And Regression Tree (CART) and ISO-DATA Cluster (IDC) classification techniques were utilized for the identification of crops. The Ideal Crop Spectral Curves were generated and utilized for the formulation of CART decision rules. For IDC, the stacked images of the phenology-integrated Normalized Difference Vegetation Index were utilized for the classification. The overall accuracy of the classified maps of CART was 76, 77 and 81% for ASTER, MODIS and Landsat-8, respectively. For IDC, the accuracy was determined at 67, 63 and 60% for ASTER, MODIS and Landsat-8, respectively. The developed decision rules can be efficiently used for mapping of crop types for the same agro-climatic region of the study area.     

气候变暖对河南省蚱蝉始鸣期的影响

利用河南省驻马店、沈丘和太康3个农业气象观测站1990-2004年的蚱蝉物候观测资料和气象资料,研究了气候变暖对蚱蝉始鸣期的影响。结果表明：在气温升高的气候背景下,蚱蝉始鸣期呈提前趋势;3-6月平均气温对蚱蝉始鸣期有显著的影响,始鸣期与1月1日至平均始鸣期期间＞5℃有效积温关系最为密切。用积温法以5℃为发育起点温度,＞5℃初日为起始日期对各站蚱蝉始鸣期进行模拟和预报,其效果优于平均法。