基于神经网络方法的芦苇叶面积指数遥感反演

提出了一种从TM图像上获取芦苇冠层叶面积指数的方法:首先对芦苇的生长背景进行分类;然后,对不同的背景光谱利用冠层反射率(FCR)模型计算得到查找表;最后,利用实测数据和查找表中的数据作为参数进行BP神经网络模型训练,从而得到芦苇冠层LAI。结果表明,人工神经网络方法有很强的非线性拟合能力,能够消除背景对反演结果的影响,有效提高LAI反演的精度。     

Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data

Wetland biomass is essential for monitoring the stability and productivity of wetland ecosystems. Conventional field methods to measure or estimate wetland biomass are accurate and reliable, but expensive, time consuming and labor intensive. This research explored the potential for estimating wetland reed biomass using a combination of airborne discrete-return Light Detection and Ranging (LiDAR) and hyperspectral data. To derive the optimal predictor variables of reed biomass, a range of LiDAR and hyperspectral metrics at different spatial scales were regressed against the field-observed biomasses. The results showed that the LiDAR-derived H_p99 (99th percentile of the LiDAR height) and hyperspectral-calculated modified soil-adjusted vegetation index (MSAVI) were the best metrics for estimating reed biomass using the single regression model. Although the LiDAR data yielded a higher estimation accuracy compared to the hyperspectral data, the combination of LiDAR and hyperspectral data produced a more accurate prediction model for reed biomass (R² = 0.648, RMSE = 167.546 g/m², RMSE_r = 20.71%) than LiDAR data alone. Thus, combining LiDAR data with hyperspectral data has a great potential for improving the accuracy of aboveground biomass estimation.     

盘锦芦苇湿地土壤微生物特征分析

基于盘锦湿地生态系统野外观测站芦苇群落生长季6～9月的定位观测资料,分析了芦苇湿地土壤微生物季节动态及其与环境因子的关系。结果表明:盘锦芦苇湿地的土壤细菌、放线菌、真菌以及微生物的总数在生长季节呈现出先减少、后增加的变化趋势。湿地的土壤细菌、放线菌以及微生物的总数在8月达到最小,而真菌数量在7月达到最小。湿地土壤中,细菌数量最大,其次是放线菌,最少的是真菌。对细菌、放线菌、真菌以及微生物总数与环境因子的相关分析表明,细菌、放线菌与微生物总数主要受水分影响,而真菌则受水分与气温的协同作用影响     

盘锦湿地芦苇叶片气孔导度的模拟

基于2005年5～9月盘锦湿地芦苇叶片气体交换观测数据,针对芦苇叶片气孔导度与光合速率以及光合速率与光合有效辐射之间的关系进行分析。结果表明:芦苇叶片气孔导度与光合速率的关系可应用Ball-Berry模型描述,光合速率与光合有效辐射的关系可应用非直角双曲线光合模型描述,联合Ball-Berry模型与非直角双曲线光合模型可通过环境变量求解叶片气孔导度。模型考虑了气孔导度与光合之间的相互作用。利用实验数据对气孔导度模型验证表明,叶片气孔导度模拟值和观测值回归方程的斜率为0.95,方程决定系数R=0.82(P<0.05)。     

中国湿生芦苇群落退化研究现状

芦苇群落是湿地生态系统的先锋植物群落,作为湿生、半湿生生态系统的主要生产者,是水体生态系统中物流和能流的物质基础,具有维持生态系统生物多样性和环境稳定性等功能。由于社会经济发展与生态保护之间的矛盾,湿地芦苇群落受到严重破坏。综述了芦苇群落退化的主要现状,同时总结分析了芦苇在水分、盐分、水质等逆境胁迫下,以及土壤养分等与群落生长的关系,认为针对种群退化研究的整体水平还需微观层次的探索和支持。     

芦苇地叶面积指数的遥感反演

 叶面积指数（LAI）是植被冠层结构的一个重要参数，它的改变标志着植被发生了生物物理变化。本文提出了一种利用混和模型 从TM图像上获取叶面积指数的方法。首先，利用冠层反射率（FCR）模型计算并得到查找表； 然后，利用从查找表得到的统计关系进行 LAI制图。试验表明，该方法简单易行，并可较精确地用来反演芦苇地的叶面积指数。     

盘锦芦苇湿地土壤微生物初步研究

基于盘锦湿地生态系统野外观测站芦苇群落生长季的定位观测资料,分析了芦苇湿地土壤微生物不同层次上的比率变化。结果表明:在0—10,10—20 cm和20—30 cm的3个层次上及微生物总数中土壤的细菌所占比率最大,而且在3个层次上的比率自上至下逐渐增大;其次是放线菌,且在3个层次上的比率逐渐减少;最少的是真菌,在3个层次上相差不大接近为零,在整个微生物中所占比率为最少的。这是由于盘锦芦苇湿地的土壤偏盐碱性,有利于细菌和放线菌繁殖,抑制了真菌的繁殖;而且季节性积水导致通气状况不良也抑制了真菌的生存。在盘锦芦苇湿地土壤微生物垂直梯度的比率中,细菌垂直梯度变化比较明显,基本上是下面2个层次所占比率比表层大一些;放线菌垂直梯度变化明显,一般表层比率最大,下面2层比率较小;真菌垂直梯度上所占的比率没有明显变化,接近为零。     

盘锦湿地芦苇群落土壤碱解氮及溶解性有机碳季节动态

基于2005年4～10月盘锦湿地芦苇群落土壤不同土层土壤碱解氮及溶解性有机碳的观测资料,分析了盘锦湿地芦苇群落土壤碱解氮与溶解性有机碳(DOC)的季节动态。结果表明:不同土层碱解氮、溶解性有机碳的季节动态并不相同。0～10 cm土层碱解氮与DOC季节动态相似,6月土壤碱解氮与DOC含量均最高,分别为244.86 mg/kg和13.16 mg/L。8月碱解氮含量最低,为139.18 mg/kg;9月DOC含量最低。10～20 cm土层DOC的季节性动态变化与表土具有相似性,峰值均出现在6月,谷值出现在9月;10～20 cm土层碱解氮最低值出现在6月,与0～10 cm土层不同。20～30 cm土层内,4～7月DOC几乎无变化,8月DOC含量最低,9月增加;4～5月碱解氮波动较大,5月降到102 mg/kg,6月增加到151 mg/kg。研究表明,盘锦湿地芦苇群落土壤微生物活性与凋落物分解对DOC及碱解氮的季节动态有很大的影响,同时温度、降水量及冻融也影响着DOC及碱解氮的季节动态。     

阅海湿地芦苇NPP遥感估算及其时空变化分析

利用1987—2012年Landsat 5、2013—2017年Landsat 8数据,分析1987—2017年阅海湿地净初级生产力（NPP）时空变化趋势。同时,基于高分数据（GF2）估算2015—2017年4 m分辨率NPP时空变化,与Landsat结果进行对比。结果表明：在各年7—8月的NPP中2002年NPP值最低,为691.11 g·C·m^-2,2003—2007年NPP均值先增大后减小,2008年后芦苇NPP均值趋于平缓;20世纪80—90年代,芦苇广泛分布于阅海湿地湖中心及四周区域,21世纪00—10年代,芦苇集中分布于湖域东北部区域;1987—2017年,阅海湿地芦苇NPP变化区域差异明显。阅海湿地东北部区域呈降低趋势。对比阅海湿地2016—2017年GF2与Landsat反演区域平均NPP,二者并无显著差异,且变化趋势也一致。     

The Ecological Restoration of Heavily Degraded Saline Wetland in the Yellow River Delta

As a result of discontinuous water flow, agriculture, and increasing urban use of fresh water affecting the natural wetlands of the Yellow River Delta, these areas have experienced significant degradation in the past two decades, ultimately diminishing the overall natural wetland land area in the region. This study aimed to address the issue of decreasing fresh water in the Yellow River Delta by studying the effects of three different approaches to restoration on long‐term wetland recovery. The results of the study demonstrated that soil salt and available Na contents significantly decreased in response to all three restoration treatments. Impacts of the restoration treatments were more significant in 2009 than in 2010, as shown by the high rate of activity in the reed debris group. The highest phosphatase activity of the experimental period was also observed in the reed debris group. Meanwhile, a marked variation in soil nutrient elements (total carbon (TC), total nitrogen (TN), available phosphorus, and available potassium) was observed in the restoration treatment plots throughout the experimental period. TC and TN contents were generally higher in the restoration treatment groups than in the control group. Moreover, urease and phosphatase activity levels were highly correlated with one another, as well as with soil nutrient elements. In 2009, the yield of the Suaeda salsa plant was highest in the reed debris treatment group and lowest in the ploughing treatment group. The S. salsa plant did show a positive response to all of the different restoration treatments. Taken together, these results suggest that restoration approaches that implement ploughing techniques aided in the restoration of degraded saline wetlands.