Montecino, Ramiro Bustamante, Sunil Kumar, Loreto Castillo, Paola Muñoz, Nicole Tapia & Ximena Molina
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On the biogeography of Didymosphenia geminata in Chile: niche requirements and potential habitats Vivian Montecino, Ramiro Bustamante, Sunil Kumar, Loreto Castillo, Paola Muñoz, Nicole Tapia & Ximena Molina. Department of Ecological Sciences Institut of Ecology & Biodiiversity of Universidad de Chile, POCH Ambiental , Colorado State University, USA. [email protected] Didymosphenia geminata presence in Chile was informed in 2010 by the Undersecretary of Fisheries (SUBPESCA) in Futaleufú - Yelcho watershed (south of the lake district). PLAGUE WAS DECLARED HP WT2 = Warm-temperate, Mediterranean influence WT3 = Warm-temperate and rainy without dry season Precipitation averages from 1950-2000 (http://www.worldclim.org/), coded according to black- grey scale . ASPREY JF, et al (1964) reported in Gayana Bot. 10 D. geminata presence in the Chilean Patagonia four decades later SEGURA P (2011) published in Science 331 A slimy invader blooms in the rivers of Patagonia Sala, et al (2011) presented an ultrastructure comparison between D. geminata populations form Chile and Argentina in the meeting of the Sociedad Argentina de Botánica. Córdoba, Argentina. We participated in the problem about D. geminata blooms through several sampling project providing the biological bases for the sustainability of watersheds, the impact on their ecological integrity, the economy and the life quality. We also ransfered this knowledge for the control and managment of D. geminata in order to raise awareness in biosecurity and safety about the environmental value of hydric systems Handbook by Díaz, Molina & Montecino http://www.subpesca.cl/controls/neochannels/ neo_ch1115/appinstances/media1346/MANUAL DIDYMO_SUBPESCA.pdf Public interest CORFO project 1. Develop an On- line Platform 2. International Workshop April 2012 3. Application of the protocol in the field: Puelo and Petrohue watersheds in the Los Lagos Region in 2012 http://146.83.42.230/sernapesca/ • ¿Que es Didymo? • •Inicio Problemas e Impactos del •Rol de Sernapesca Didymo •Descripción del Proyecto • •Ingreso SATD ¿Como se aborda? Servicio Nacional de Pesca y Acuicultura | Dirección Nacional | Victoria 2832, Valparaíso, •Ingreso SATD Usuario Chile Fono +56 (32) 281 91 00 - Fax +56 (32) 225 63 1 Registrado RESULTS From all rivers & 2012 in the Los Lagos Region Watersheds Petrohué (-) & Puelo (+) Table 1.- Location of sites selected for the search of Dydimophenia geminata, southern Chile. It is included name of Adminstrative region, name and latitude of different watersheds and source. Regions Name of Regions Watersheds Latitude Source IX Araucanía Imperial 38° 26' 4 Bío-Bío 38° 40' Toltén 39° 00' XIV Los Ríos Valdivia 39° 41' 4 Bueno 40° 19' X Los Lagos Between Bueno and Puelo 40°41' 1 Puelo 41° 37’ 2 Yelcho 43°11’ 4 XI Palena and coast limiting 43° 44' 1 Aysén with the X Region 2 Aysén 45° 09' 3 47° 48' Baker 4 XII Magallanes Between Seno Andrew 50°- 52° 4 and Hollenberg Islands 1. Reid et al. (2012); 2. CIEP (2010); 3. CIEN Austral, (2011, 2012); 4. POCH-U. Chile (2011 a, b, c). Technical reports are available in www.subpesca.cl and www.sernapesca .cl. In 2 years we have learned a lot It is an unique opportunity to understand the problem about which are the other requirements POTENTIAL HABITATS ¿Is there more habitat available for colonization? Remarkable trait of invasive species 150-180 rivers RAPID EXPANSION y = 1E-54e0.0031x y = 1E-45e0.0026x R² = 0.8419 R² = 0.7897 30 phytoplankton phytobenthos 25 20 15 10 5 Rivers with didymo (Nº) didymowith Rivers 0 ago-10 feb-11 sep-11 abr-12 oct-12 Dynamics of expansion DUALITY NICHE-BIOTOPE Niche Geographic space duality Duality: the existence of a double nature phenomena Colwell & Rangel (2009) To understand the invasion process and to find out which are the potential habitats PCA for Puelo and Petrohue Puelo ** Petrohue Factor Eigen value Accumulated variance (%) 1 3,28 21,89 2 2,74 40,14 3 1,65 51,16 Chemical niche Sílicate similar between watersheds Forcing flowrate variables % Oxygen saturation (Mahalanobis test p =28) depth PCA for all prospected rivers Didymo Absences Didymo Presences Ancho PCA Pearson matrix correlation, for significance sphericity Barlett test< Test de Mahalanobis p = NS(0,005) 0,0001 Factor eigenvalue Acc variance (%) F1 1.6 20.2 F2 1.3 35.9 F3 1.2 50.6 Didymo Absences (225) Didymo Presences (55) The objective of our work is to predict habitat preferences as a way to anticipate invasion in non- invaded zones. ¿What do we have for modelling? •Absences and presences of didymo •Climatic model •(http://www.worldclim.org/) • Substrate information •Chemical niche •Available sofware (MAXENT) We used Maxent, to identify key niche environmental variables and to predict the potential distribution for this species in Chile. For environmental data, we considered a total of 27 variables including climatic, topographic, hydrological, and remotely sensed variables. Nineteen bioclimatic data layers were obtained from the WorldClim dataset (~1-km resolution). We used PCA to describe the multidimensional niche space as well as the ecological space of absences (13 variables were selected, cross correlation). A RESULTS B A) space of the absences (i.e. the rivers B) the ecological niche of D. geminata. where D. geminata was not detected; Multivariate ecological spaces obtained from PCA. For both figures, solid and dashed contour lines show 100% and 50% of the existing environment respectively. Similarity= 0.57 P=0.03 So-it is expected that these non-occupied rivers will be colonized in the near future Remotely sensed variables included percent tree cover and percent herbaceous cover. We also included growing degree days and geologic age. Maxent was chosen because it performs better than other species distribution models methods and it is relatively robust to small sample sizes. Our study covered 174 sites while the whole available data bases are from 225 rivers from northern Patagonia to the Magellan Region, according to this, until early 2012 we have 55 presences and 170 absences. Potencial distribution of D. geminata in Chile Colours represent different values for presence probabilities Relative percent contribution of different environmental variables of the potential distribution habitats for D. geminata. Bold represent the top variables of the SDM. VARIABLE PERCENT CONTRIBUTION Flow accumulation 26.6 Geologic age 25.4 Growing degree days 10.5 Precipitation seasonality (Bio15) 7.0 Isothermality (Bio3) 5.9 Percent herbaceous cover 5.8 Precipitation of driest month (Bio14, 4.7 mm) Precipitation of wettest month (Bio13, 4.5 mm) Temperature seasonality (Bio4) 2.3 Mean temp. of warmest quarter (Bio10) 2.3 (°C) Flow direction 2.0 Percent tree cover 1.9 Elevation (m) 1.1 Conclusions .We obtained a predictive model showing the geographic distribution concentrated exclusively in southern Chile. .Non-equilibrium distribution .Our model was accurate in predicting the current distribution of this species; however, its actual test will be if the presence of this species is detected in regions not predicted by the model, for instance north of 38ºS and, southern Patagonia. These results will be used for early detection and management of D. geminata spread and for prioritizing monitoring and surveillance sites in Chile. Future research …under volcanism & Global Change scenarios …new prospection north and south of 36-48°S …comparative approach between regions in the Southern hemisphere Acknowledgments ICM PO5 -002, Institute of Ecology and Biodiversty, University of Chile and POCH INNOVA CORFO 11BPC-10019 and SUBPESCA projects S.K. Natural Resource Ecology Laboratory at Colorado State University for providing the logistical support for this study..