Effects of hydrologic connectivity on water chemistry, soils, and vegetation structure and function in an intermontane depressional wetland landscape

Wetlands ◽  
2007 ◽  
Vol 27 (3) ◽  
pp. 719-738 ◽  
Author(s):  
Bradley J. Cook ◽  
F. Richard Hauer
2016 ◽  
Vol 127 (2-3) ◽  
pp. 339-351 ◽  
Author(s):  
Sean M. P. Cahoon ◽  
Patrick F. Sullivan ◽  
Cassandra Gamm ◽  
Jeffrey M. Welker ◽  
David Eissenstat ◽  
...  

2020 ◽  
Vol 35 (3) ◽  
pp. 761-778
Author(s):  
Monika H. Egerer ◽  
Benjamin Wagner ◽  
Brenda B. Lin ◽  
Dave Kendal ◽  
Kai Zhu

Abstract Context Land use change requires measuring shifting patterns in biodiversity at various spatial scales to inform landscape management. Assessing vegetation change at different scales is challenging in urban ecosystems managed by many individuals. Thus, we do not know much about the structure and function of green spaces that support biodiversity. Objective We aim to understand how vegetation structure and function indicators in urban community gardens vary with spatial scale, applying new and traditional methods in landscape ecology to inform future research and application. Methods We performed two methods to assess garden vegetation structure (height) and function (species diversity, cover) at the garden- and garden plot scale. First, we used traditional field sampling to estimate garden vegetation at the garden scale (1 m2 quadrats along transects) and at the plot scale (estimated within entire plot) to measure height, diversity and cover. Second, we used UAV aerial imagery to derive measures of garden and plot vegetation using canopy height models (CHMs). We evaluated differences in CHMs at each scale across the gardens, and compared field and UAV-derived measures. Results Garden vegetation characteristics vary with spatial scale. Plant species richness and vegetation cover, but not height, related to UAV-derived imagery. Conclusions New technologies paired with traditional field methods can together inform how vegetation structure and function vary with spatial scale in urban landscapes. Spatial scale is key to accurate and meaningful urban vegetation analyses. New and traditional methods in urban ecology research should develop together to improve and streamline their future application.


2013 ◽  
Vol 6 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Kelsey Gilcrease

Abstract Leporids play a dynamic role in the ecosystem and assessments must be undertaken in order to improve research efforts and methods. Landscape ecology metrics are used to quantify components of leporid habitat such as vegetation structure, vegetation cover, habitat type, and fragmentation; however, the degree to which the metrics are utilized in leporid research is relatively unknown. This paper assessed fifty-three published, peer reviewed papers on leporids from various European countries on where the study was done, the species of leporid that was studied, the content of the study (i.e. what the paper focused on), the length of the study, the size of the study area, and the method of study. The quantified landscape metrics within these papers were assessed. This study found that most of the studies occurred in Spain, the European rabbit and European hare were the most studied leporids, many papers were concerned with habitat relationships, many of the studies were conducted in a year or less, many papers utilized pellet surveys and trapping, and the most common landscape metric utilized was habitat type. This survey of research on leporids highlights that there is a lack of utilizing landscape structure and function metrics such as slope, fragmentation, and edge effect. These are important variables to help connect structure and function of ecological processes in the context of leporid habitat and landscapes. It is recommended that leporid researchers and landscape planners exchange research findings so that the best planning practices can occur on the ground for the leporids


2015 ◽  
Vol 12 (10) ◽  
pp. 7879-7977 ◽  
Author(s):  
J. Lloyd ◽  
T. F. Domingues ◽  
F. Schrodt ◽  
F. Y. Ishida ◽  
T. R. Feldpausch ◽  
...  

Abstract. Sampling along a precipitation gradient in tropical America extending from ca. 0.8 to 2.0 m a−1, savanna soils had consistently lower exchangeable cation concentrations and higher C/N ratios than nearby forest plots. These soil differences were also reflected in canopy averaged leaf traits with savanna trees typically having higher leaf mass per unit area but lower mass-based nitrogen (Nm) and potassium (Km). Both Nm and Km also increased with declining mean annual precipitation (PA), but most area-based leaf traits such as leaf photosynthetic capacity showed no systematic variation with PA or vegetation type. Despite this invariance, when taken in conjunction with other measures such mean canopy height, area-based soil exchangeable potassium content, [K]sa, proved to be an excellent predictor of several photosynthetic properties (including 13C isotope discrimination). Moreover, when considered in a multivariate context with PA and soil plant available water storage capacity (θP) as covariates, [K]sa also proved to be an excellent predictor of stand-level canopy area, providing drastically improved fits as compared to models considering just PA and/or θP. Neither calcium, magnesium nor soil pH could substitute for potassium when tested as alternative model predictors (ΔAIC > 10). Nor for any model could simple soil texture metrics such as sand or clay content substitute for either [K]sa or θP. Taken in conjunction with recent work in Africa and the forests of the Amazon Basin this suggests – in combination with some newly conceptualised interacting effects of PA and θP also presented here – a critical role for potassium as a modulator of tropical vegetation structure and function.


2015 ◽  
Vol 12 (22) ◽  
pp. 6529-6571 ◽  
Author(s):  
J. Lloyd ◽  
T. F. Domingues ◽  
F. Schrodt ◽  
F. Y. Ishida ◽  
T. R. Feldpausch ◽  
...  

Abstract. Sampling along a precipitation gradient in tropical South America extending from ca. 0.8 to 2.0 m a−1, savanna soils had consistently lower exchangeable cation concentrations and higher C / N ratios than nearby forest plots. These soil differences were also reflected in canopy averaged leaf traits with savanna trees typically having higher leaf mass per unit area but lower mass-based nitrogen (Nm) and potassium (Km). Both Nm and Km also increased with declining mean annual precipitation (PA), but most area-based leaf traits such as leaf photosynthetic capacity showed no systematic variation with PA or vegetation type. Despite this invariance, when taken in conjunction with other measures such as mean canopy height, area-based soil exchangeable potassium content, [K]sa , proved to be an excellent predictor of several photosynthetic properties (including 13C isotope discrimination). Moreover, when considered in a multivariate context with PA and soil plant available water storage capacity (θP) as covariates, [K]sa also proved to be an excellent predictor of stand-level canopy area, providing drastically improved fits as compared to models considering just PA and/or θP. Neither calcium, nor magnesium, nor soil pH could substitute for potassium when tested as alternative model predictors (ΔAIC > 10). Nor for any model could simple soil texture metrics such as sand or clay content substitute for either [K]sa or θP. Taken in conjunction with recent work in Africa and the forests of the Amazon Basin, this suggests – in combination with some newly conceptualised interacting effects of PA and θP also presented here – a critical role for potassium as a modulator of tropical vegetation structure and function.


2021 ◽  
Vol 296 ◽  
pp. 108215
Author(s):  
Iryna Dronova ◽  
Sophie Taddeo ◽  
Kyle S. Hemes ◽  
Sara H. Knox ◽  
Alex Valach ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document