Quantifying the spatial and temporal distribution of tanglehead (Heteropogon contortus) on South Texas rangelands

作     者：Jose M.Mata Humberto L.Perotto-Baldivieso Fidel Hernández Eric D.Grahmann Sandra Rideout-Hanzak John T.Edwards Michael T.Page Taylor M.Shedd 

作者机构：Caesar Kleberg Wildlife Research InstituteTexas A&M University-Kingsville700 University Blvd.MSC 218KingsvilleTX 78363USA 

出 版 物：《Ecological Processes》 (生态过程（英文）)

年 卷 期：2018年第7卷第1期

页      面：14-22页

核心收录：

学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 0815[工学-水利工程] 0713[理学-生态学] 

基　　金：The funding for this project was provided by the Houston Livestock Show and Rodeo and The Rotary Club of Corpus Christi Harvey Weil Sportsman Conservationist Award 

主　　题：distribution landscape sandy 

摘      要：Introduction:Tanglehead is a grass native to southwestern US rangelands;however,its prevalence as a native invasive on South Texas rangelands has increased rapidly during the last *** areas of monotypic stands have emerged in Jim Hogg,Duval,Brooks,and Kleberg *** aim of this research is to understand the spatial and temporal dynamics of these invasions as a model for the assessment of native invasive *** specific objectives were to(1)evaluate the feasibility of classifying tanglehead using 1-m resolution imagery data,(2)assess the spatial and temporal distribution of tanglehead in relation to soil type and distance from roads,and(3)quantify the temporal and spatial distribution of tanglehead on our study *** combined remote sensing approaches with landscape metrics to quantify the spatial and temporal distribution of tanglehead in five locations across our study *** calculated the normalized difference vegetation index and combined it with the original aerial imagery to conduct an unsupervised classification with the following land cover classes:woody vegetation,tanglehead,non-tanglehead herbaceous,and bare *** type and the distance from roads were assessed to determine the relationship between these factors and tanglehead spatial ***:We were able to successfully map tanglehead using the 1-m *** image classification approach resulted in accuracies greater than 85%for all *** occurred in sandy,loamy sand,and sandy loam *** 70% of tanglehead cover occurred within the first 150 m from the edge of *** cover increased from 7.1%(SE=1.1%)in 2008 to 17.8%(SE=5.4%)in *** established,small patches of tanglehead began aggregating or coalescing with existing stands,thereby creating larger patches over larger ***:Our study has shown the value of analyzing spatiotemporal dynamics of tanglehead with remote sensing techniques and landscape metrics to improve our unders