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Effects of topography and historical disturbance on canopy height structure of tropical forests in Menglun, Xishuangbanna, China.
Hu, Yuan; Deng, Yun; Wang, Bo; Zhou, Rong-Hua; Yuan, Sheng-Dong; Li, Jun-Song; Lu, Hua-Zheng; Lin, Lu-Xiang.
Afiliação
  • Hu Y; CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China.
  • Deng Y; CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China.
  • Wang B; Administration Bureau of Menglun, Xishuangbanna National Nature Reserve, Mengla 666303, Yunnan, China.
  • Zhou RH; Administration Bureau of Menglun, Xishuangbanna National Nature Reserve, Mengla 666303, Yunnan, China.
  • Yuan SD; CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China.
  • Li JS; Administration Bureau of Menglun, Xishuangbanna National Nature Reserve, Mengla 666303, Yunnan, China.
  • Lu HZ; CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China.
  • Lin LX; CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences/National Forest Ecosystem Research Station at Xishuangbanna, Mengla 666303, Yunnan, China.
Ying Yong Sheng Tai Xue Bao ; 34(3): 597-604, 2023 Mar.
Article em En | MEDLINE | ID: mdl-37087641
ABSTRACT
With the combination of airborne Lidar and panchromatic images in 1981 and 2021, we investigated the canopy height structure of tropical forests in Menglun sub-reserve in the Xishuangbanna National Nature Reserve of Yunnan Province, and analyzed its relationship with environmental factors by using multiple regression tree (MRT) method. The results showed that forests in the Menglun sub-reserve could be clustered into seven types based on canopy height structures, with tropical rainforest, monsoon evergreen broad-leaved forest, secondary forest, and flood plain forest as the main types. The potential solar radiation, altitude, terrain profile curvature, slope and the brightness value of imageries in 1981 and 2021 were main factors that drove the classification. The tropical seasonal rainforest dominated by Pometia pinnata occupied the largest area in valley and low-land. The monsoon evergreen broad-leaved forest dominated by Castanopsis echinocarpa mainly distributed in the ridge and disturbed areas. The secondary forests had homogeneous canopy surface, which was significantly different from the primary forests. The activities of swidden agriculture about three decades ago had legacy impacts on the physiognomy of secondary forests.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Floresta Úmida País/Região como assunto: Asia Idioma: En Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Floresta Úmida País/Região como assunto: Asia Idioma: En Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China