Percorrer por autor "Stockwell, Jason"
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- Can space-for-time-substitution surveys represent zooplankton biodiversity patterns and their relationship to environmental drivers?Publication . Stockwell, Jason; Ivanick, Lia; Chiapella, Ariana; Vichi, Cecilia; Grossart, Hans-Peter; Zagarese, Horacio; Diovisalvi, Nadia; Odriozola, Mariana; Gideon, Gal; Geraldes, Ana Maria; Christoffersen, Kirsten Seestern; Sarvala, Jouko; Blank, Kätlin; Beklioğlu, Meryem; Kainz, Martin; Bruel, Rosalie; Ger, Kemal Ali; Matsuzaki, Shin-Ichiro; Khan, Samiullah; Nejstgaard, Jens; Znachor, Petr; Seda, Jaromír; Obertegger, Ulrike; Salmaso, Nico; García-Girón, Jorge; Leoni, Barbara; Jeppesen, Erik; Tavşanoğlu, Ülkü Nihan; Rusanovskaya, Olga O.; Tartarotti, Barbara; Dur, Gaël; Kuczyńska-Kippen, Natalia; Dondajewska-Pielka, Renata; Eyto, Elvira de; Thackeray, Stephen; Garcia de Souza, Javier R.; Rusak, James A.; Moe, Jannicke; Figary, Stephanie; May, Linda; Gunn, Iain; Doubek, Jonathan; Symons, Celia C.; Burnet, Sarah; Lepori, Fabio; Alcocer, Javier; Fernández, Rocío; Oseguera, Luis A.; Verburg, Piet; Fontanarrosa, María SoledadSpace-for-Time-Substitution surveys (SFTS) are commonly used to describe zooplankton community dynamics and to determine lake ecosystem health. SFTS surveys typically combine single point observations from many lakes to evaluate the response of zooplankton community structure and dynamics (e.g., species abundance and biomass, diversity, demographics and modeled rate processes) to spatial gradients in hypothesized environmental drivers (e.g., temperature, nutrients, predation), in lieu of tracking such responses over long time scales. However, the reliability and reproducibility of SFTS zooplankton surveys have not yet been comprehensively tested against empirically-based community dynamics from longterm monitoring efforts distributed worldwide. We use a recently compiled global data set of more than 100 lake zooplankton time series to test whether SFTS surveys can accurately capture zooplankton diversity, and the hypothesized relationship with temperature, using simulated SFTS surveys of the time series data. Specifically, we asked: (1) to what degree can SFTS surveys capture observed biodiversity dynamics; (2) how does timing and duration of sampling affect detected biodiversity patterns; (3) does biodiversity ubiquitously increase with temperature across lakes, or vary by climate zone or lake type; and (4) do results from SFTS surveys produce comparable biodiversity-temperature relationship(s) to empirical data within and among lakes? Testing biodiversity-ecosystem function (BEF) relationships, and the drivers of such relationships, requires a solid data basis. Our work provides a global perspective on the design and usefulness of (long-term) zooplankton monitoring programs and how much confidence we can place in the zooplankton biodiversity patterns observed from SFTS surveys.
- Do Zooplankton diversity-environment relationships derivedfrom space-for-time-substitution surveys actually represent any lakes?Publication . Stockwell, Jason; 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, PetrSpace-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.
- Environmental Drivers of Nightversus Day Zooplankton Populationestimates In Lakes Around the WorldPublication . Goldfarb, Sadye K.; Doubek, Jonathan; Geraldes, Ana Maria; Armengol, Xavier; Avilés-Vargas, Lidia; Bartrons, Mireia; Bartrons, Mireia; Kankılıç, Gökben Başaran; Berger, Stella; Bess, Zach; Brentrup, Jannifer; Brucet, Sandra; Bruesewitz, Denise; Calderó-Pascual, Maria; Carey, Cayelan C.; Chandra, Sudeep; Chapina, Rosaura; Eyto, Elvira de; Erdoğan, Şeyda; Erina, Oxana; Figary, Stephanie; Gerrish, Gretchen; Glass, Lucas; Brett, Johnson; Kainz, Martin; Kalingali, Anthony; Khan, Samiullah; Kimirei, Ismael; Leoni, Barbara; Lepori, Fabio; McCarthy, Valerie; Nava, Veronica; Nejstgaard, Jens; Ogorelec, Ziga; O'Reilly, Catherine; Pate, William; Paterson, Michael; Pinheiro-Silva, Lorena; Qiu, Qianlinglin; Richardson, David; Rusak, James A.; Silver, Douglas; Straile, Dietmar; Suenaga, Erin; Tartarotti, Barbara; Tavşanoğlu, Ülkü Nihan; Tereshina, Maria; Umaña-Villalobos, Gerardo; Walles, Tim; Wander, Heather; Wurtsbaugh, Wayne; Xu, Yaoyang; Zhikharev, Vyacheslav; Stockwell, JasonZooplankton play vital roles in aquatic food webs by grazingon phytoplankton, which affects water quality, andtransferring energy to higher trophic levels. In freshwaterlakes, zooplankton commonly exhibit diel vertical andhorizontal migration. During the day, zooplankton descendto deeper waters, or seek refuge in littoral areas or thesediment-water interface, to avoid visual predators, andthen migrate to open water at night to feed. Consequently,zooplankton may exhibit higher density and biomass atnight versus the day, and estimates and perceptions ofzooplankton dynamics can change with the time of daysampling occurs. To better understand these dielzooplankton differences and their environmental drivers, weconducted a standardized global campaign to samplecrustacean zooplankton in the full water column at day andnight in the pelagic zone of 40 lakes. The lakes spanned agradient in trophic state, size, and other variables such asdissolved oxygen (DO). Mesotrophic and eutrophic lakesexhibited greater zooplankton biomass at night versus daywhile oligotrophic lakes did not. Crustacean zooplanktonhad higher biomass at night versus day in lakes at lowerelevation, with higher chlorophyll a concentration, and lowerhypolimnetic DO levels. Lake area and depth were notrelated to diel zooplankton density or biomass. We provideone of the first global, standardized studies onenvironmental drivers of day versus night zooplanktonpopulation estimates. This study has importantramifications for our understanding of zooplankton ecologyand for sampling regimens.
- Impacts of climate-induced drought on lake and reservoir biodiversity and ecosystem services: a reviewPublication . Sun, Xinyu; Armstrong, Margaret; Moradi, Amirmohammad; Bhattacharya, Ruchi; Geraldes, Ana Maria; Munthali, Elias; Grossart, Hans-Peter; Matsuzaki, Shin-Ichiro; Kangur, Külli; Dunalska, Julita; Stockwell, Jason; Borre, LisaIntensifying extreme droughts are altering lentic ecosystems and disrupting services provisioning. Unfortunately, drought research often lacks a holistic and intersectoral consideration of drought impacts, which can limit relevance of the insights for adaptive management. This literature review evaluated the current state of lake and reservoir extreme drought research in relation to biodiversity and three ecosystem services. The study findings demonstrated that few articles linked or discussed drought implications with one or more ecosystem services, instead focusing primarily on biodiversity. Drought effects on biodiversity varied among species and taxonomic groups. In the limited literature that included ecosystem service provisioning, droughts had a general negative effect. Drinking water supply can decrease and become more costly. Decreasing water flow and volume can reduce hydropower generation. Degraded water quality can also impact recreation. Future intersectoral collaborations and research on intensifying droughts should support adaptive management efforts in mitigating drought impacts.
- The effects of hypoxia on zooplankton population estimates and migration in lakesPublication . Goldfarb, Sadye K.; Doubek, Jonathan; Geraldes, Ana Maria; Bartrons, Mireia; Berger, Stella; Brentrup, Jannifer; Brucet, Sandra; Burnet, Sarah; Caputo Galarce, Luciano; Carey, Cayelan C.; Christoffersen, Kirsten Seestern; Eyto, Elvira de; Dur, Gaël; Erdoğan, Şeyda; Erina, Oxana; Grossart, Hans-Peter; Kainz, Martin; Kankılıç, Gökben Başaran; Khan, Sami; Leoni, Barbara; Lepori, Fabio; McCarthy, Valerie; Nava, Veronica; Nejstgaard, Jens; Obertegger, Ulrike; Ogorelec, Ziga; Ozen, Arda; Pascual, Maria; Paterson, Michael; Patelli, Martina; Qiu, Qianlinglin; Richardson, David; Sepulveda-Jauregui, Armando; Silva, Lorena; Straile, Dietmar; Tartarotti, Barbara; Tavşanoğlu, Ülkü Nihan; Tereshina, Maria; Umaña-Villalobos, Gerardo; Walles, Tim; Wander, Heather; Wurtsbaugh, Wayne; Stockwell, JasonMany zooplankton species typically exhibit diel vertical migration (DVM), where zooplankton migrate from the hypolimnion to the epilimnion of lakes at night. Zooplankton exhibit this behavior to avoid visual predators and UV radiation by remaining in the bottom waters during the day and ascending to the surface waters to feed on phytoplankton at night. However, hypoxic conditions in the hypolimnion of lakes mayinterfere with DVM and force zooplankton to increase diel horizontal migration (DHM) to find predation refuge in littoral zones. Climate change and eutrophication are expected to increase the prevalence and severity of hypoxic conditions worldwide and thereby possibly alter zooplankton migration patterns. We hypothesize that hypoxia will force zooplankton to shift their migration patterns from predominantly DVM to DHM to avoid oxygen-depleted bottom waters. To test our hypothesis, we are conducting a standardized global sampling program to test whether pelagic, full water column estimates of zooplankton are greater at night versus the day under hypolimnetic hypoxic versus oxic conditions. Participants are aiming to sample at least one lake with an oxic hypolimnion and one lake with a hypoxic hypolimnion during the thermally-stratified period at midday and midnight. With our global dataset (currently expecting about 60 lakes in 22 countries), our goal is to improve our understanding of how global change may alter zooplankton migration behavior and patterns in lakes.