干旱区生态环境知识资源中心(Arid): Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru

Arid

DOI	10.1111/ecog.05091
	Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru
	Muenchow, Jannes; Dieker, Petra; Boettcher, Thea; Brock, Jonas; Didenko, Gregor; Fremout, Tobias; Jakubka, Desiree; Jentsch, Anke; Nuest, Daniel; Richter, Michael; Rodriguez, Eric Frank; Rodriguez, Rodolfo Arismendiz; Rollenbeck, Ruetger; Salazar Zarsosa, Pablo; Schratz, Patrick; Brenning, Alexander
通讯作者	Muenchow, J
来源期刊	ECOGRAPHY
ISSN	0906-7590
EISSN	1600-0587
出版年	2020
卷号	43 期号:12 页码:1878-1890
英文摘要	The tropical dry forests of NW Peru are heavily shaped by the El Nino Southern Oscillation (ENSO), where especially El Nino brings rain to arid to semi-arid areas. However, the resulting effects on biodiversity patterns remain largely unknown as well as the effect of environmental variables on the floristic composition under varying rainfall patterns. Therefore, we studied the spatio-temporal effects of different ENSO episodes on floristic biodiversity along a climatic gradient ranging from the coastal desert to the Andean foothills. We sampled 50 vegetation plots in four years representing different ENSO episodes. To highlight the spatio-temporal changes in floristic composition and beta diversity across ENSO episodes, we predicted ordination scores with a Generalized Additive Model. We applied variation partitioning to test if topographic or edaphic variables gained in importance during more humid ENSO episodes. Additionally, we executed an irrigation-fertilization experiment to quantify the beneficial effects of the water-nutrient interaction under different simulated ENSO rainfall scenarios. Plant species richness increased under humid conditions during the humid La Nina (2012) and the moderate El Nino (2016), and slightly decreased under the very humid conditions during the coastal El Nino (2017). The spatial prediction revealed that specific vegetation formations became more pronounced with increasing water input, but that a large water surplus led to the disruption of the strict order along the climatic gradient. Edaphic and topographic variables gained in importance with increased water availability (2012 and 2016), however, this effect was not further amplified under very wet conditions (2017). The experiment showed that plant cover under Super Nino conditions was three times higher when fertilized. Overall, our spatial predictions concede detailed insights into spatio-temporal ecosystem dynamics in response to varying rainfall caused by different ENSO episodes while the results of the experiment can support farmers regarding a sustainable agrarian management.
英文关键词	ecosystem diversity irrigation-fertilization experiment ordination Peru predictive mapping productivity statistical learning tropical dry forest
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000569114100001
WOS关键词	TROPICAL DRY FOREST ; DISTRIBUTION PATTERNS ; SOIL NUTRIENTS ; EL-NINO ; DIVERSITY ; COMMUNITY ; DROUGHT ; EVENTS ; AVAILABILITY ; ATTRIBUTES
WOS类目	Biodiversity Conservation ; Ecology
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326272
作者单位	[Muenchow, Jannes; Didenko, Gregor; Schratz, Patrick; Brenning, Alexander] Friedrich Schiller Univ, Inst Geog, Jena, Germany; [Dieker, Petra] Thunen Inst, Inst Biodivers, Braunschweig, Germany; [Boettcher, Thea] Humboldt Univ, Inst Biol, Berlin, Germany; [Brock, Jonas] UFZ Helmholtz Ctr Environm Res, Dept Ecol Modelling, Leipzig, Germany; [Fremout, Tobias] Katholieke Univ Leuven, Div Forest Nat & Landscape, Leuven, Belgium; [Jakubka, Desiree] Friedrich Schiller Univ Jena, Inst Ecol & Evolut, Jena, Germany; [Jentsch, Anke] Univ Bayreuth, BayCEER, Disturbance Ecol, Bayreuth, Germany; [Nuest, Daniel] Univ Munster, Inst Geoinformat, Munster, Germany; [Richter, Michael] Friedrich Alexander Univ Erlangen Nuremberg, Inst Geog, Erlangen, Germany; [Rodriguez, Eric Frank] Natl Univ Trujillo, Herbarium Truxillense HUT, Trujillo, Peru; [Rodriguez, Rodolfo Arismendiz; Salazar Zarsosa, Pablo] Univ Piura, Fac Engn, Piura, Peru; [Rollenbeck, Ruetger] Univ Marburg, Fac Geog, Lab Climatol & Remote Sensing LCRS, Marburg, Ge...
推荐引用方式 GB/T 7714	Muenchow, Jannes,Dieker, Petra,Boettcher, Thea,et al. Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru[J],2020,43(12):1878-1890.
APA	Muenchow, Jannes.,Dieker, Petra.,Boettcher, Thea.,Brock, Jonas.,Didenko, Gregor.,...&Brenning, Alexander.(2020).Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru.ECOGRAPHY,43(12),1878-1890.
MLA	Muenchow, Jannes,et al."Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru".ECOGRAPHY 43.12(2020):1878-1890.