Arid
DOI10.1016/j.ecolmodel.2018.09.022
Modelling the critical transition from Chilean evergreen forest to savanna: Early warning signals and livestock management
Baeza, Andres
通讯作者Baeza, Andres
来源期刊ECOLOGICAL MODELLING
ISSN0304-3800
EISSN1872-7026
出版年2018
卷号388页码:115-123
英文摘要

Semi-desert areas are sensitive to changes in rainfall and agricultural pressure, prone to abrupt changes and to the collapse of ecological functions. The sclerophyllous evergreen forest of central Chile, known as matorral, has been extensively overgrazed by domestic livestock. As a consequence, the native and endemic species of this forest community have been replaced by a savanna-type environment dominated by the species Acacia caven, known as espinales. It has been hypothesized that the collapse of matorral forest can be abrupt, and the two ecosystems represent two alternative stable states. To understand the ecological dynamics that occur during this transition, their signature in space, and the consequences of livestock management, a cellular automata model that considers the local interaction among forest vegetation, Acacia, and livestock management was developed. By simulating and analyzing the process of fragmentation in space and time, in a gradient of livestock pressure and aridity, the results show that the system exhibits properties of "robust criticality’, with a shift of patch-size distributions from models matching power-laws to models matching truncated power-laws as livestock pressure increases nearby the point of collapse. Simulation results in scenarios with rotation of livestock at the tipping point reveal the interaction between resting frequency and forest conservation. These results provide information to design better management strategies in human-modified landscapes in the remaining Chilean matorral.


英文关键词Acacia coven Alternative ecosystem states Ecosystem shift Matorral Robust criticality
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000451354000012
WOS关键词EL-NINO ; SCLEROPHYLLOUS FORESTS ; CELLULAR-AUTOMATA ; VEGETATION ; PATTERNS ; SYSTEMS ; DESERTIFICATION ; ESTABLISHMENT ; DISTRIBUTIONS ; REGENERATION
WOS类目Ecology
WOS研究方向Environmental Sciences & Ecology
来源机构Arizona State University
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/208765
作者单位Arizona State Univ, Global Inst Sustainabil, Tempe, AZ 85281 USA
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Baeza, Andres. Modelling the critical transition from Chilean evergreen forest to savanna: Early warning signals and livestock management[J]. Arizona State University,2018,388:115-123.
APA Baeza, Andres.(2018).Modelling the critical transition from Chilean evergreen forest to savanna: Early warning signals and livestock management.ECOLOGICAL MODELLING,388,115-123.
MLA Baeza, Andres."Modelling the critical transition from Chilean evergreen forest to savanna: Early warning signals and livestock management".ECOLOGICAL MODELLING 388(2018):115-123.
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