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Classification of Landscape Types Based on Land Cover, Successional Stages and Plant Functional Groups in a Species-Rich Forest in Hainan Island, China

机译:基于土地覆盖,演替阶段和植物功能群的海南岛物种丰富森林景观类型分类

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Large-scale identification of landscape types in species-rich forest ecosystems is a challenge to landscape designers and forest ecologists. With a systematic grid-sample-plot investigation and landscape-attributes extraction of SPOT-5 imagery in a tropical forest region in Hainan Island, China, we developed a landscape classification system of land cover, successional stages, and dominant plant functional groups in species-rich forest ecosystems. We classified the study landscape into eight land cover types, four successional stages, and six functional patch types, with accuracies at ≥ 78%. The patches dominated by the pioneer functional groups were mainly distributed in areas of early recovery stages on sunny slopes at elevations 850 m. The slope gradient had no significant influence on the patch distribution patterns in the study region. Our results show that species-rich forest landscapes can be classified into patch types of different dominant functional groups and successional stages through remote sensing in conjunction with ground survey and GIS.
机译:在物种丰富的森林生态系统中大规模识别景观类型是景观设计师和森林生态学家的挑战。通过系统的网格样本图调查和中国海南岛热带森林区域中SPOT-5图像的景观属性提取,我们开发了一种土地覆盖,演替阶段和物种中主要植物功能组的景观分类系统丰富的森林生态系统。我们将研究景观分为八种土地覆盖类型,四个演替阶段和六个功能性斑块类型,其准确度≥78%。由先锋功能小组控制的斑块主要分布在早期恢复阶段的地区,海拔850 m,在阳光充足的斜坡上。坡度梯度对研究区斑块分布格局没有显着影响。我们的结果表明,通过结合地面调查和GIS进行遥感,可以将物种丰富的森林景观分为不同主要功能组和演替阶段的斑块类型。

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