2023
Rose, JP; Kupferberg, SJ; Peek, RA; Ashton, D; Bettaso, JB; Bobzien, S; Bourque, RM; Breedveld, KGH; Catenazzi, A; Drennan, JE; Gonsolin, E; Grefsrud, M; Herman, AE; House, MR; Kluber, MR; Lind, AJ; Marlow, KR; Striegle, A; Hattem, M; Wheeler, CA; Wilcox, JT; Wiseman, KD; Halstead, BJ
Identifying drivers of population dynamics for a stream breeding amphibian using time series of egg mass counts Journal Article
In: Ecosphere, vol. 14, iss. 8, pp. e4645, 2023.
Abstract | Links | BibTeX | Tags: amphibian declines, amphibian populations, amphibians, Foothill yellow‐legged frog, population structure, stream ecosystems
@article{Rose2023,
title = {Identifying drivers of population dynamics for a stream breeding amphibian using time series of egg mass counts},
author = {JP Rose and SJ Kupferberg and RA Peek and D Ashton and JB Bettaso and S Bobzien and RM Bourque and KGH Breedveld and A Catenazzi and JE Drennan and E Gonsolin and M Grefsrud and AE Herman and MR House and MR Kluber and AJ Lind and KR Marlow and A Striegle and M Hattem and CA Wheeler and JT Wilcox and KD Wiseman and BJ Halstead},
editor = {AM Kramer},
url = {https://angelo.berkeley.edu/wp-content/uploads/sites/59/Ecosphere-2023-Rose.pdf},
doi = {10.1002/ecs2.4645},
year = {2023},
date = {2023-08-24},
urldate = {2023-08-24},
journal = {Ecosphere},
volume = {14},
issue = {8},
pages = {e4645},
abstract = {The decline in amphibian populations is one of the starkest examples of the biodiversity crisis. For stream breeding amphibians, alterations to natural flow regimes by dams, water diversions, and climate change have been implicated in declines and extirpations. Identifying drivers of amphibian declines requires long time series of abundance data because amphibian populations can exhibit high natural variability. Multiple population viability analysis (MPVA) models integrate abundance data and share information from different populations to estimate how environmental factors influence population growth. Flow alteration has been linked to declines and extirpations in the Foothill Yellow-legged Frog (Rana boylii), a stream breeding amphibian native to California and Oregon. To date, no study has jointly analyzed abundance data from populations throughout the range of R. boylii in an MPVA model. We compiled time series of egg mass counts (an index of adult female abundance) from R. boylii populations in 36 focal streams and fit an MPVA model to quantify how streamflow metrics, stream temperature, and surrounding land cover affect population growth. We found population growth was positively related to stream temperature and was higher in the years following a wet year with high total annual streamflow. Density dependence was weakest (i.e., carrying capacity was highest) for streams with high seasonality of streamflow and intermediate rates of change in streamflow during spring. Our results highlight how altered streamflow can further increase the risk of decline for R. boylii populations. Managing stream conditions to better match natural flow and thermal regimes would benefit the conservation of R. boylii populations.},
keywords = {amphibian declines, amphibian populations, amphibians, Foothill yellow‐legged frog, population structure, stream ecosystems},
pubstate = {published},
tppubtype = {article}
}
The decline in amphibian populations is one of the starkest examples of the biodiversity crisis. For stream breeding amphibians, alterations to natural flow regimes by dams, water diversions, and climate change have been implicated in declines and extirpations. Identifying drivers of amphibian declines requires long time series of abundance data because amphibian populations can exhibit high natural variability. Multiple population viability analysis (MPVA) models integrate abundance data and share information from different populations to estimate how environmental factors influence population growth. Flow alteration has been linked to declines and extirpations in the Foothill Yellow-legged Frog (Rana boylii), a stream breeding amphibian native to California and Oregon. To date, no study has jointly analyzed abundance data from populations throughout the range of R. boylii in an MPVA model. We compiled time series of egg mass counts (an index of adult female abundance) from R. boylii populations in 36 focal streams and fit an MPVA model to quantify how streamflow metrics, stream temperature, and surrounding land cover affect population growth. We found population growth was positively related to stream temperature and was higher in the years following a wet year with high total annual streamflow. Density dependence was weakest (i.e., carrying capacity was highest) for streams with high seasonality of streamflow and intermediate rates of change in streamflow during spring. Our results highlight how altered streamflow can further increase the risk of decline for R. boylii populations. Managing stream conditions to better match natural flow and thermal regimes would benefit the conservation of R. boylii populations.
2002
Power, Mary E.; Dietrich, William E.
Food webs in river networks Journal Article
In: Ecological Research, vol. 17, no. 4, pp. 451-471, 2002.
Abstract | Links | BibTeX | Tags: food chain length, food webs, landscape heterogeneity, river networks, stream ecosystems
@article{Power2002,
title = {Food webs in river networks},
author = {Mary E. Power and William E. Dietrich},
url = {https://angelo.berkeley.edu/wp-content/uploads/sites/59/Power_et_al-2002-Ecological_Research1.pdf},
doi = {10.1046/j.1440-1703.2002.00503.x},
year = {2002},
date = {2002-06-28},
journal = {Ecological Research},
volume = {17},
number = {4},
pages = {451-471},
abstract = {Food webs and river drainages are both hierarchical networks and complex adaptive systems. How does living within the second affect the first? Longitudinal gradients in productivity, disturbance regimes and habitat structure down rivers have long interested ecologists, but their effects on food web structure and dynamics are just beginning to be explored. Even less is known about how network structure per se influences river and riparian food webs and their members. We offer some preliminary observations and hypotheses about these interactions, emphasizing observations on upstream–downstream changes in food web structure and controls, and introducing some ideas and predictions about the unexplored question of food web responses to some of the network properties of river drainages.},
keywords = {food chain length, food webs, landscape heterogeneity, river networks, stream ecosystems},
pubstate = {published},
tppubtype = {article}
}
Food webs and river drainages are both hierarchical networks and complex adaptive systems. How does living within the second affect the first? Longitudinal gradients in productivity, disturbance regimes and habitat structure down rivers have long interested ecologists, but their effects on food web structure and dynamics are just beginning to be explored. Even less is known about how network structure per se influences river and riparian food webs and their members. We offer some preliminary observations and hypotheses about these interactions, emphasizing observations on upstream–downstream changes in food web structure and controls, and introducing some ideas and predictions about the unexplored question of food web responses to some of the network properties of river drainages.
2001
Power, ME
Prey exchange between a stream and its forested watershed elevates predator densities in both habitats Journal Article
In: PNAS, vol. 98, iss. 1, pp. 14-15, 2001, ISBN: 0027-8424, 1091-6490.
Links | BibTeX | Tags: forested watershed, stream ecosystems
@article{Power2001f,
title = {Prey exchange between a stream and its forested watershed elevates predator densities in both habitats},
author = {ME Power},
url = {http://www.pnas.org/content/98/1/14},
doi = {10.1073/pnas.98.1.14},
isbn = {0027-8424, 1091-6490},
year = {2001},
date = {2001-01-02},
urldate = {2001-01-02},
journal = {PNAS},
volume = {98},
issue = {1},
pages = {14-15},
keywords = {forested watershed, stream ecosystems},
pubstate = {published},
tppubtype = {article}
}