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Soil-Based Vegetation Productivity Model for Coryell County, Texas

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成果类型:
期刊论文
作者:
Wen, Bin*;Burley, Jon Bryan
通讯作者:
Wen, Bin
作者机构:
[Wen, Bin] Hunan Agr Univ, Coll Landscape Architecture & Art, Changsha 410128, Peoples R China.
[Wen, Bin] Beijing Forestry Univ, Coll Landscape Architecture, Beijing 100083, Peoples R China.
[Burley, Jon Bryan] Michigan State Univ, Sch Planning Design & Construct, Landscape Architecture, E Lansing, MI 48824 USA.
通讯机构:
[Wen, Bin] H
[Wen, Bin] B
Hunan Agr Univ, Coll Landscape Architecture & Art, Changsha 410128, Peoples R China.
Beijing Forestry Univ, Coll Landscape Architecture, Beijing 100083, Peoples R China.
语种:
英文
关键词:
Environmental design;Landscape architecture;Landscape planning;Landscape reclamation;Physical geography;Plant ecology;Soil science
期刊:
Sustainability
ISSN:
2071-1050
年:
2020
卷:
12
期:
13
基金类别:
China Scholarship CouncilChina Scholarship Council [201608430214]
机构署名:
本校为第一且通讯机构
摘要:
Managers, scientists, planners and designers of landscapes are interested in systematic investigations, to predict the reconstruction of disturbed soil resources for optimum vegetation productivity. In this study, a predictive equation for estimating neo-soil plant growth in Coryell County, Texas was developed. The equation predicts the vegetation growth for wheat (Triticum aestivum L.), oats [Avena sativa L. (1753)], sorghum [Sorghum bicolor (L.) Moench], cotton lint (Gossypium hirsutum L.), Bermuda grass [Cynodon dactylon (L.) Pers.], and ran...

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