为揭示系统发育和植物功能性状对新疆木本植物开花物候的影响,以新疆乌鲁木齐、伊宁和喀什三地典型植物园或公园的木本植物为研究对象,利用系统发育信号值和系统发育广义最小二乘模型(Phylogenetic Generalized Least Squares, PGLS),...为揭示系统发育和植物功能性状对新疆木本植物开花物候的影响,以新疆乌鲁木齐、伊宁和喀什三地典型植物园或公园的木本植物为研究对象,利用系统发育信号值和系统发育广义最小二乘模型(Phylogenetic Generalized Least Squares, PGLS),探究开花物候分布特征、谱系保守性以及功能性状的贡献率。结果表明:(1)新疆木本植物开花期集中在3月31日至4月20日,持续时间为(13.03±0.38)d。乔木、肉质果、彩色花和风媒植物分别比灌木、非肉质果、非彩色花和虫媒植物的开花早。(2)亲缘关系越近的物种开花物候特征越相似,系统发育信号值Pagel’sλ为0.67~0.74。(3)果实类型、花色和传粉方式与开花物候最相关,解释度为17.4%~31.6%。本研究证明系统发育和植物功能性状均能影响新疆木本植物开花物候,研究结果对阐明干旱区生物多样性维持机制和虫植关系具有重要意义。展开更多
[Objective] The aim was to explore the feasibility of using single spectrum image to classify crops based on multi-spectral image and Decision Tree Method. [Method] Taking the typical agriculture plantation area in Hu...[Objective] The aim was to explore the feasibility of using single spectrum image to classify crops based on multi-spectral image and Decision Tree Method. [Method] Taking the typical agriculture plantation area in Hulunbeier area, according to field measured spectrum data, the optimum time of main crops, barley, wheat, rapeseed, based on crops spectrum characteristics, by dint of decision-making tree method, and considering spectral matching method, classification of crops was studied such as SAM. [Result] By dint of Landsat TM image gained in the first half of August, based on geographic and atmospheric proof-reading, decision-making tree was constructed. Plantation information about wheat, barley, and rapeseed and plantation grassland was extracted successfully. The general classification accuracy reached 86.90%. Kappa coefficient was 0.831 1. [Conclusion] Taking typical spectrum image as data source, and applying Decision Tree Method to get crops type＇s information had fine application future.展开更多
Paddy rice agriculture is practiced in both rain-fed and irrigated ecosystems in the Philippines.However,small farms are prevalent in the region,and current satellite-based mapping techniques do not distinguish betwee...Paddy rice agriculture is practiced in both rain-fed and irrigated ecosystems in the Philippines.However,small farms are prevalent in the region,and current satellite-based mapping techniques do not distinguish between the two ecosystems at farm scales.This study developed an approach to rapidly map irrigated and rain-fed paddy rice in Iloilo,Philippines at 10 m resolutions using Google Earth Engine.This approach used an ensemble of classifiers based on time-series vegetation indices to produce dry and wet seasonal maps for the entire province.Results showed a predominance of rain-fed rice areas in both seasons,with irrigated rice making up only onefourth of the total rice area.The overall accuracy was achieved at 68%for the dry season and 75%for the wet season based on ground-acquired points and very high-resolution imagery.The two types of paddies were classified at accuracies up to 87%.Furthermore,the land cover maps showed a strong agreement with the municipal statistics.The resultant maps complement current official statistics and demonstrate the prowess of phenology-based mapping to create paddy inventories in a timely manner to inform food security and agricultural policies.展开更多
文摘为揭示系统发育和植物功能性状对新疆木本植物开花物候的影响,以新疆乌鲁木齐、伊宁和喀什三地典型植物园或公园的木本植物为研究对象,利用系统发育信号值和系统发育广义最小二乘模型(Phylogenetic Generalized Least Squares, PGLS),探究开花物候分布特征、谱系保守性以及功能性状的贡献率。结果表明:(1)新疆木本植物开花期集中在3月31日至4月20日,持续时间为(13.03±0.38)d。乔木、肉质果、彩色花和风媒植物分别比灌木、非肉质果、非彩色花和虫媒植物的开花早。(2)亲缘关系越近的物种开花物候特征越相似,系统发育信号值Pagel’sλ为0.67~0.74。(3)果实类型、花色和传粉方式与开花物候最相关,解释度为17.4%~31.6%。本研究证明系统发育和植物功能性状均能影响新疆木本植物开花物候,研究结果对阐明干旱区生物多样性维持机制和虫植关系具有重要意义。
基金Supported by the Open Subject of Key Lab of Resources Remote-sensing and Digital Agriculture in Agricultural Department(RDA1008)~~
文摘[Objective] The aim was to explore the feasibility of using single spectrum image to classify crops based on multi-spectral image and Decision Tree Method. [Method] Taking the typical agriculture plantation area in Hulunbeier area, according to field measured spectrum data, the optimum time of main crops, barley, wheat, rapeseed, based on crops spectrum characteristics, by dint of decision-making tree method, and considering spectral matching method, classification of crops was studied such as SAM. [Result] By dint of Landsat TM image gained in the first half of August, based on geographic and atmospheric proof-reading, decision-making tree was constructed. Plantation information about wheat, barley, and rapeseed and plantation grassland was extracted successfully. The general classification accuracy reached 86.90%. Kappa coefficient was 0.831 1. [Conclusion] Taking typical spectrum image as data source, and applying Decision Tree Method to get crops type＇s information had fine application future.
基金Ministry of Foreign Affairs and Trade,New ZealandUniversity of Auckland.
文摘Paddy rice agriculture is practiced in both rain-fed and irrigated ecosystems in the Philippines.However,small farms are prevalent in the region,and current satellite-based mapping techniques do not distinguish between the two ecosystems at farm scales.This study developed an approach to rapidly map irrigated and rain-fed paddy rice in Iloilo,Philippines at 10 m resolutions using Google Earth Engine.This approach used an ensemble of classifiers based on time-series vegetation indices to produce dry and wet seasonal maps for the entire province.Results showed a predominance of rain-fed rice areas in both seasons,with irrigated rice making up only onefourth of the total rice area.The overall accuracy was achieved at 68%for the dry season and 75%for the wet season based on ground-acquired points and very high-resolution imagery.The two types of paddies were classified at accuracies up to 87%.Furthermore,the land cover maps showed a strong agreement with the municipal statistics.The resultant maps complement current official statistics and demonstrate the prowess of phenology-based mapping to create paddy inventories in a timely manner to inform food security and agricultural policies.
