Publicação

Do Zooplankton diversity-environment relationships derivedfrom space-for-time-substitution surveys actually represent any lakes?

Detalhes bibliográficos
Resumo:	Space-For-Time-Substitution (SFTS) surveys are used todescribe zooplankton community structure, assess lakehealth, and forecast lake responses to environmental change. SFTS surveys combine single-point sampling from many lakes to evaluate zooplankton community structure and dynamics (e.g., abundance, diversity) and their responses to ecogeographical gradients in key environmental drivers (e.g., temperature, salinity), instead of tracking such responses in individual lakes. However, there liability and reproducibility of estimating temporal dynamics from models of SFTS survey data have yet to betested against observed community dynamics within lakes distributed worldwide. We use a recently compiled global dataset (292 lakes, 38 countries, 6 continents) of lake zooplankton time series to estimate the relationship between zooplankton diversity and potential environmental drivers using simulated SFTS surveys. We then apply the results to lakes with long-term time series to compare relationships derived from SFTS surveys with the historical dynamics of individual lakes. We expect that zooplankton dynamics in lakes from less variable thermal regions (i.e.,low and high latitudes) will not be well represented by temperature relationships derived from SFTS surveys. Testing biodiversity-ecosystem function relationships and their drivers requires adequate temporally and spatially resolved data. We provide a global perspective on thedesign of monitoring programs that include zooplankton and examine the reliability of zooplankton biodiversity patterns observed in SFTS surveys.
Autores principais:	Stockwell, Jason
Outros Autores:	Symons, Celia; Figary, Stephanie; Alcocer, Javier; Alfonso, María B.; Anneville, Orlane; Geraldes, Ana Maria; Beklioğlu, Meryem; Beyer, Jessica; Blank, Kätlin; Bruel, Rosalie; Burnet, Sarah; Caroni, Rossana; Chandra, Sudeep; Christoffersen, Kirsten Seestern; Cortés, Alicia; Crispim, Maria Cristina; Warren Currie; Eyto, Elvira de; DeGasperi, Curtis; Diovisalvi, Nadia; Dondajewska-Pielka, Renata; Doubek, Jonathan; Dur, Gaël; Ersoy, Zeynep; Fernández, Rocío; Fontanarrosa, María Soledad; Gideon, Gal; García-Girón, Jorge; Ger, Kemal Ali; Goldyn, Ryszard; Guo, Fen; Hambright, K. David; Somia, Raslen; Jeppesen, Erik; Kainz, Martin; Kowalczewska-Madura, Katarzyna; Kuczyńska-Kippen, Natalia; Laas, Alo; Leoni, Barbara; López-Vázquez, Mercedes; Manca, Marina; Matsuzaki, Shin-Ichiro; Matthews, Blake; Merz,Ewa; Moe, Jannicke; Muñoz-Colmenares, Manuel; Nejstgaard, Jens; Obertegger, Ulrike; Oseguera, Luis A.; Paterson, Michael; Piscia, Roberta; Molina, Florencia Rojas; Rudstam, Lars; Rusak, James A.; Rusanovskaya, Olga O.; Salmaso, Nico; Sarvala, Jouko; Seda, Jaromír; Silow, Eugene; Soininen, Janne; Tartarotti, Barbara; Tavşanoğlu, Ülkü Nihan; Thackeray, Stephen; Timofeyev, Maxim; Zagarese, Horacio; Znachor, Petr
Assunto:	Zooplankton Aquatic Ecosystem
Ano:	2024
País:	Portugal
Tipo de documento:	documento de conferência
Tipo de acesso:	acesso aberto
Instituição associada:	Instituto Politécnico de Bragança
Idioma:	inglês
Origem:	Biblioteca Digital do IPB

Descrição
Resumo:	Space-For-Time-Substitution (SFTS) surveys are used todescribe zooplankton community structure, assess lakehealth, and forecast lake responses to environmental change. SFTS surveys combine single-point sampling from many lakes to evaluate zooplankton community structure and dynamics (e.g., abundance, diversity) and their responses to ecogeographical gradients in key environmental drivers (e.g., temperature, salinity), instead of tracking such responses in individual lakes. However, there liability and reproducibility of estimating temporal dynamics from models of SFTS survey data have yet to betested against observed community dynamics within lakes distributed worldwide. We use a recently compiled global dataset (292 lakes, 38 countries, 6 continents) of lake zooplankton time series to estimate the relationship between zooplankton diversity and potential environmental drivers using simulated SFTS surveys. We then apply the results to lakes with long-term time series to compare relationships derived from SFTS surveys with the historical dynamics of individual lakes. We expect that zooplankton dynamics in lakes from less variable thermal regions (i.e.,low and high latitudes) will not be well represented by temperature relationships derived from SFTS surveys. Testing biodiversity-ecosystem function relationships and their drivers requires adequate temporally and spatially resolved data. We provide a global perspective on thedesign of monitoring programs that include zooplankton and examine the reliability of zooplankton biodiversity patterns observed in SFTS surveys.