Detecting and Restoring Gaps Among Forest Patches: AN Achievable and Replicable Proposal to Boost the Landscape Connectivity

Author:

Bortoleto Ludmila Araújo1,Rodgers John2,da Silva Alexandre Marco1

Affiliation:

1. Department of Environmental Engineering, Institute of Science and Technology of Sorocaba , São Paulo State University (UNESP) , Sorocaba , SP , Brazil

2. Department of Geosciences , Mississippi State University , USA

Abstract

Abstract It is well known that one of the main impacts caused by land cover change is the process of forest fragmentation. Connecting the remaining fragments is always an exercise for technicians and academics, and even corridors of remaining vegetation usually present places of forest discontinuity, lacking connection strategies for the corridor to gain a real function. In this paper, we applied a model structured to identify priority locals to implement connectors. We used a GIS package and a digital, georeferenced satellite image. We complemented the project by surveying a database through a drone-based field survey. The integration of data revealed that for our studied area (Sorocaba, SP Brazil) 42.5% need assisted restoration. The mapping also revealed the existence of 25 forest fragments larger than 50 ha, arranged chiefly in one single corridor but disconnected from each other. Hence, through the application of the model, we could localize nine strategic locations in distances as short as possible among the fragments, feasible to implement a connector with the economy of resources and expect satisfactory performance in ecological terms. The database generated by the drone-based survey helped us to assert

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3