G2TT
来源类型Book Chapter
规范类型其他
Identifying Drivers and Spatial Patterns of Deforestation in the Rio Grande Basin, Colombia
ther authors; Ramírez, Cristian D; Orrego, Sergio; Schneider, Laura C; O
发表日期2019-05-03
出版年2019
语种英语
摘要

Ramírez, Cristian D, Sergio Orrego and Laura C Schneider. 2018. “Identifying Drivers and Spatial Patterns of Deforestation in the Rio Grande Basin, Colombia.” Journal of Latin American Geography 17:1: 108-138.
Download reference Doi:10.1353/lag.2018.0005

Identifying the spatial patterns and drivers of deforestation is a critical task in geographic research. In addition to mapping deforestation, it’s important to determine the statistical effects of the spatial configuration of tropical landscapes on current deforestation trends. In order to model drivers of deforestation is important to take into account the spatial structure of data (i.e., whether observed deforestation is spatially clustered or not). We calculated deforestation rates at the village level in the Rio Grande basin, Colombia, using land cover information derived from Landsat TM/ETM satellite imagery (1986-2012). We used econometric models to understand the deforestation patterns using a set of socioeconomic, biophysical, and accessibility variables. Exploratory Spatial Data Analysis shows the existence of globally and locally positive spatial autocorrelation. The Spatial Lag Model, which considers spatial data autocorrelation, explained most of the variability in deforestation patterns. The main drivers of deforestation for the region over a 26-year period were annual average temperature, population density, road density, and distance to main rivers. Results show that observed deforestation is closely related to dairy farming; this is due to the long history of human intervention in the watershed. We found that forest recovery in recent years occurred, however forest loss continues to be the dominant land transition of Andean landscapes, with positive spatial interdependencies. The identification of drivers of deforestation using methods that account for spatial autocorrelation can inform national conservation policy and programs aimed at the provision of ecosystem services.

    Authors

  • Other authors:
    Ramírez, Cristian D
    Orrego, Sergio
    Schneider, Laura C
主题Conservation
URLhttps://efdinitiative.org/publications/identifying-drivers-and-spatial-patterns-deforestation-rio-grande-basin-colombia
来源智库Environment for Development Initiative (Sweden)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/138674
推荐引用方式
GB/T 7714
ther authors,Ramírez, Cristian D,Orrego, Sergio,et al. Identifying Drivers and Spatial Patterns of Deforestation in the Rio Grande Basin, Colombia. 2019.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[ther authors]的文章
[Ramírez, Cristian D]的文章
[Orrego, Sergio]的文章
百度学术
百度学术中相似的文章
[ther authors]的文章
[Ramírez, Cristian D]的文章
[Orrego, Sergio]的文章
必应学术
必应学术中相似的文章
[ther authors]的文章
[Ramírez, Cristian D]的文章
[Orrego, Sergio]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。