4.7 Article

The effects of land use change on soil infiltration capacity in China: A meta-analysis

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 626, Issue -, Pages 1394-1401

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2018.01.104

Keywords

Land use change; Meta-analysis; Soil infiltration; Forest; Agroforestry; Plantation

Funding

  1. National Basic Research and Development Program of China [2013CB429902]
  2. National Science and Technology Program of China [2015BAD07B0505]
  3. Key Deployment Projects of the Chinese Academy of Sciences [KFZD-SW-305]

Ask authors/readers for more resources

Land use changes are often considered to be the main factors influencing soil infiltration. But the difference of soil infiltration capacity for different land use type is less clear. In this paper, we conduct a meta-analysis of all 42 papers that could be found associated with the effects of land use changes on soil infiltration capacity. The results showed that soil initial and steady infiltration rates increased after land use changes from grassland to forest (+41.35%, /), shrubland to forest (+42.73%, /) and cropland to agroforestry (+70.28%, + 84.17%). Soil infiltration rates declined after land use changes from grassland to cropland (/, -45.23%), shrubland to cropland (-64.24%, /) and forest to cropland (53.58%,-42.15%). It was evident that soil infiltration rates were negatively related to soil bulk density and initial moisture and positively related to soil total porosity and organic matter content. In sum, establishing agroforestry ecosystem was beneficial to improve soil infiltration capacity compare to cropland and plantation, which has important implications for developing sustainable agriculture and forest from the viewpoint of soil and water conservation. (C) 2018 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available