Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0304-3800 |
EISSN | 1872-7026 |
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 As a consequence, the native and endemic species of this forest community have been replaced by a savanna-type environment dominated by the species Acacia caven, known as espinales.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 |
推荐引用方式 GB/T 7714 | 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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