北疆盐碱地空间分布特征分析

为了探究北疆盐碱地空间分布过程中盐碱化程度与经度、纬度及海拔高度之间的关系，基于1985年土壤调查结果，结合2015年Landest 8遥感解译去除人工绿洲结果，采用2 km×2 km网格单元，以盐碱地面积占总面积的比例作为检验区域盐碱化程度的指标，对盐碱地分布情况进行统计和分析。结果表明，北疆地区盐碱化程度受地形和降水的影响明显，特别是受土壤类型的影响更为密切；北疆地区盐碱化程度，由西向东呈增大趋势（P=0838），主要集中分布在E90°～E96°范围内，盐碱土占总面积的比例为7562%；由南向北呈减小趋势（P=-0768），主要集中分布在N40°～N43°范围内，盐碱土占总面积的比例为7782%；由低到高呈减小趋势（P=-0767），主要集中分布在-160～500 m范围内，盐碱土占总面积的比例为4741%。北疆盐碱地空间分布特征的分析对于揭示北疆盐碱化程度的变化规律，促进北疆盐碱土资源的合理开发和维持地区生态安全具有重要的意义。     

Ecological and Industrial Implications of Dynamic Seaweed-Associated Microbiota Interactions

Seaweeds are broadly distributed and represent an important source of secondary metabolites (e.g., halogenated compounds, polyphenols) eliciting various pharmacological activities and playing a relevant ecological role in the anti-epibiosis. Importantly, host (as known as basibiont such as algae)–microbe (as known as epibiont such as bacteria) interaction (as known as halobiont) is a driving force for coevolution in the marine environment. Nevertheless, halobionts may be fundamental (harmless) or detrimental (harmful) to the functioning of the host. In addition to biotic factors, abiotic factors (e.g., pH, salinity, temperature, nutrients) regulate halobionts. Spatiotemporal and functional exploration of such dynamic interactions appear crucial. Indeed, environmental stress in a constantly changing ocean may disturb complex mutualistic relations, through mechanisms involving host chemical defense strategies (e.g., secretion of secondary metabolites and antifouling chemicals by quorum sensing). It is worth mentioning that many of bioactive compounds, such as terpenoids, previously attributed to macroalgae are in fact produced or metabolized by their associated microorganisms (e.g., bacteria, fungi, viruses, parasites). Eventually, recent metagenomics analyses suggest that microbes may have acquired seaweed associated genes because of increased seaweed in diets. This article retrospectively reviews pertinent studies on the spatiotemporal and functional seaweed-associated microbiota interactions which can lead to the production of bioactive compounds with high antifouling, theranostic, and biotechnological potential.     

群体感应信号物质对吡咯伯克霍尔德氏菌JK-SH007在杨树内定殖的影响

为了明确杨树溃疡病生防菌吡咯伯克霍尔德氏菌JK-SH007的群体感应系统是否与其内生定殖相关，本文通过群体感应指示菌紫色杆菌CV026和液相色谱串联四级杆飞行时间质谱技术（HPLC-Q-TOF-MS）确定其群体感应信号物质种类，并利用结晶紫染色、菌体回收、GFP标记等技术，研究其群体感应信号物质对该菌株生物膜及在杨树苗内的定殖能力的影响。结果表明，菌株JK-SH007产生的群体感应信号物质为含8个碳原子酰基侧链的辛酰基-L-高丝氨酸内酯（C₈-HSL）。群体感应信号物质C₈-HSL的添加对该菌株生物膜及在杨树苗内的定殖能力有影响，并且呈现低浓度促进，较高浓度抑制的规律。C₈-HSL的添加与菌株JK-SH007生物膜的OD值和菌体量具有显著相关性，相关系数分别为0.923和0.756。当添加1.0% C₈-HSL终浓度达到5×10^{-8 g/L}时，菌株JK-SH007生物膜的形成量达到峰值。荧光显微镜镜检发现，当添加100 μL C₈-HSL时，杨树组培苗根和茎中GFP荧光标记的菌株JK-SH007的定殖数量明显较CK多。菌株JK-SH007的群体感应与其在杨树内的内生定殖能力密切相关，群体感应信号物质C₈-HSL具有增强菌株JK-SH007内生定殖的能力，同时也表明该物质有利于该菌株生防效果的发挥。     

基于主被动遥感技术的地表覆被类型变化检测方法——以新疆西天山国家级自然保护区为例

旨在研究主被动遥感结合的地表覆被变化监测方法，使用高分数据和哨兵1号数据分别代表被动和主动遥感，对新疆西天山国家级自然保护区地表覆被变化情况进行检测，进而对得出的林地、草地、建筑物检测结果进行联合分析，最终得到主被动遥感联合变化检测结果。通过实地精度检验对主被动遥感联合变化检测结果进行验证。结果表明，该方法的变化检测结果精度达到90%以上。说明结合主动遥感和被动遥感既能克服天气的影响，又能在检测中保留光谱和纹理等丰富的信息，变化检测的精度较高；主被动遥感联合变化检测可以较为快速、准确地掌握地表覆被类型的变化，能够在一定程度上减少被动遥感数据的云量困扰。并且该方法在林地和建筑物上有较高的敏感性，适合森林自然保护区的森林变化和建筑监测。     

冬小麦生物量及氮积累量的植被指数动态模型研究

利用遥感技术实时监测小麦生长状况,依据监测结果适时促控,可提高产量。本研究以高产小麦品种周麦27为试验材料,在不同试验地点设置了水氮耦合的大田试验,筛选出了适宜监测冬小麦地上部氮积累量和生物量的植被指数,并构建了不同产量水平下优选植被指数的动态模型。结果表明,(1)不同的水氮耦合模式显著影响小麦冠层光谱变化,在350～700nm和750～900nm表现相反的反应特征;(2)对2个农学生长指标反应敏感且兼容性好的植被指数主要有修正型红边比率(mRER)、土壤调整植被指数[SAVI(825,735)]、红边叶绿素指数(CI_(red-edge))和归一化差异光谱指数(NDSI),其与产量间相关性较好的时期为拔节至灌浆中期;(3)双Logistic模型可以很好地拟合植被指数的动态变化,高产和超高产水平下拟合精度较高(R~20.82),而低产水平下相对较低(R~2=0.608～0.736)。比较而言,CI_(red-edge)和SAVI (825, 735)用于评价小麦长势较为适宜。研究结果对作物因地定产、以苗管理、分类促控具有重要意义。     

Frost response in wheat and early detection using proximal sensors

Frost can significantly reduce production of field crops grown in Mediterranean‐type environments, where significant economic losses for Australian wheat occur annually. If non‐destructive sensors could make rapid, spatial assessment of frost damage, this could limit economic losses through timely management decisions. This paper reports on a methodology for imposing frost treatments to wheat under field conditions and the utility of canopy reflectance data for detecting early crop damage. Purpose‐built chambers using stepped additions of dry ice allowed for a range of frost scenarios to be tested when applied at wheat heading and anthesis. For frost treatments applied at anthesis, grain number and yield were reduced by 8.8% and 7.2%, respectively, for every degree Celsius below zero (down to ?4°C). This effect was additive over two consecutive nights. For cold load equivalent, there was a 2.2% and 1.9% reduction in grain number and yield, respectively, per °C hr (below 0°C). For wheat, spectral indices PRI and NDVI (reflectance) and FRF_G and SFR_G (fluorescence) showed significant relationships, with cold load applied for heading treatments. Next steps include targeting frost intensities equivalent to cold loads between 20 and 80°C hr and testing the utility of these proposed indices in a commercial paddock setting.     

基于无人机高光谱遥感的柑橘患病植株分类与特征波段提取

目的 结合传统与现代农业病虫害监测的优缺点，探索通过无人机高光谱遥感技术检测出患病的柑橘植株、通过人工田间调查方式判断其患病种类及患病程度的病虫害监测方法。方法 使用无人机获取原始高光谱图像，经过光谱预处理和特征工程后，采用连续投影算法提取对柑橘患病植株分类贡献值最大的特征波长组合，基于全波段使用BP神经网络和XgBoost算法、基于特征波段使用逻辑回归和支持向量机算法，建立分类模型。结果 基于全波段的BP神经网络和XgBoost算法的ROC曲线下面积(Area under curve，AUC)分别为0.883 0和0.912 0，分类准确率均超过95%；提取出698和762 nm的特征波长组合，基于特征波长使用逻辑回归和支持向量机算法建立的分类模型召回率分别达到了93.00%和96.00%。结论 基于特征波长建模在患病样本分类中表现出很高的准确率，证明了特征波长组合的有效性。本研究结果可为柑橘种植园的病虫害监测提供一定的数据和理论支撑。     

基于GF-1和Sentinel-2时序数据的茶园识别

由于茶园大多分布在地形复杂的山区,地块破碎,分布零散,形状差异大、植被混杂且茶园所处环境长期受到云雨的影响,增加了茶园遥感识别的难度与不确定性,针对这一问题,该研究提出了利用高分1号(GF-1)和哨兵2号(Sentinel-2)时序数据提取茶园的方法,以浙江省武义县王宅镇为研究区,采用GF-1号为主要数据源,并利用MODIS地表反射率产品和Sentinel-2反射率数据,基于时空融合算法得到时间分辨率5 d的10 m Sentinel-2完整的时序数据。综合利用GF-1在空间细节方面的优势和重建的Sentinel-2高观测频率时序数据在反映茶树生长过程方面的优势,分别基于GF-1的光谱和纹理特征及GF-1的光谱、纹理特征和Sentinel-2时序特征两种特征组合方式,采用随机森林算法提取茶园。结果表明,GF-1光谱、纹理信息结合Sentinel-2时序信息分类结果的准确率、错误率、精确率、召回率和F1分数分别为96.91%、3.09%、89.00%、83.09%和0.86,仅基于GF-1光谱和纹理信息的分类准确率、错误率、精确率、召回率和F1分数分别为94.72%、5.28%、73.09%、84.61%和0.78,添加时序信息分类结果总体优于未添加时序信息的分类结果。表明高空间分辨率结合高频率时序遥感数据是提高茶园分类精度的有效手段。     

Land surface temperature retrieval for arid regions based on Landsat-8 TIRS data:a case study in Shihezi,Northwest China

Scientific interest in geophysical information about land surface temperature （LST） is ever increasing, as such information provides a base for a large number of applications, including environmental and agricultural monitoring. Therefore, the research of LST retrieval has become a hot topic. Recent availability of Landsat-8 satel- lite imagery provides a new data source for LST retrieval. Hence, exploring an adaptive method with reliable ac- curacy seems to be essential. In this study, basing on features of Landsat-8 TIRS thermal infrared channels, we re-calculated parameters in the atmospheric transmittance empirical models of the existing split-window algorithm, and estimated the ground emissivity with the help of the land cover classification map of the study area. Further- more, a split-window algorithm was rebuilt by virtual of the estimation model of the updated atmospheric transmit- tance and the ground emissivity, and then a remote sensing retrieval for the LST of Shihezi city in Xinjiang Uygur autonomous region of Northwest China was conducted on the basis of this modified algorithm. Finally, precision validation of the new model was implemented by using the MODIS LST products. The results showed that the LST retrieval from Landsat-8 TIRS data based on our algorithm has a higher credibility, and the retrieved LST is more consistent with the MODIS LST products. This indicated that the modified algorithm is suitable for retrieving LST with competitive accuracy. With higher resolutions, Landsat-8 TIRS data may provide more accurate observation for LST retrieval.     

基于土地利用/覆盖的甘肃省景观生态风险时空变化特征

甘肃省景观类型丰富多样,在中国西部地区的生态安全中起关键性作用,也为当地发展提供着重要的物质基础和生态服务。由于气候变化和人类不合理活动的影响,甘肃省部分地区生态环境的安全与稳定遭到严峻挑战。本研究基于欧洲航空局全球土地利用/覆盖数据（CCI-LC）,利用动态度、转移矩阵方法分析了2005-2019年甘肃省土地利用/覆盖变化特征;通过构建景观生态风险指数并运用空间自相关分析法分析了景观生态风险的空间分布特征。结果显示：1)2005-2019年间,裸地面积减少最多,变化率1.88%,耕地次之,变化率2.31%;草地面积增加最多,变化率1.83%,建设用地次之,变化率191.08%。2）所有土地利用/覆盖类型中,建设用地的动态度最高且在整个研究时期内变化速率都保持在较高水平,综合动态度最大的时期为2010-2019年。3）土地利用/覆盖转移矩阵主要表现为耕地、林地、草地、裸地之间的转入与转出以及其他土地类型向建设用地的转入。4)2019年整体的生态风险值较2005年明显上升。其中低风险区和较低风险区面积最多,转化最频繁;中等风险区、较高风险区和高风险区面积虽然较少,但都存在不同程度的增长。...