2016
DOI: 10.5751/ace-00902-110207
|View full text |Cite
|
Sign up to set email alerts
|

Quantifying avian relative abundance and ecosystem service value to identify conservation opportunities in the Midwestern U.S.

Abstract: ABSTRACT. Grassland birds are highly imperiled because of historical habitat loss and ongoing conversion of grasslands to agricultural and urban land uses. Therefore, prioritizing and further justifying conservation action in remaining grasslands is critical to protecting what remains. Grassland bird conservation has focused on identifying and protecting large grassland complexes referred to as Grassland Bird Conservation Areas (GBCAs). We identified and classified GBCAs in a region highly impacted by both agr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 8 publications
(8 citation statements)
references
References 42 publications
0
8
0
Order By: Relevance
“…To inform this, we used semivariograms to identify the spatial scale that variability in our environmental data leveled off at (200 km) [25]. We then applied a 200-km grid over our study area and randomly sampled our occurrence data into 10 representative training and testing datasets [63]. Each of these datasets were held constant for all models for a species to ensure comparability of performance measures, and to maintain constant prevalence between the training and testing datasets [64].…”
Section: Species Distribution Modelingmentioning
confidence: 99%
“…To inform this, we used semivariograms to identify the spatial scale that variability in our environmental data leveled off at (200 km) [25]. We then applied a 200-km grid over our study area and randomly sampled our occurrence data into 10 representative training and testing datasets [63]. Each of these datasets were held constant for all models for a species to ensure comparability of performance measures, and to maintain constant prevalence between the training and testing datasets [64].…”
Section: Species Distribution Modelingmentioning
confidence: 99%
“…It has also been used to evaluate the complex relationship between ecosystem services and resources and biodiversity needs. For example, Wilsey, Jensen, and Miller (2016) used community science data to demonstrate that the grassland habitats that are vital to certain bird species also provide an estimated $900 million each year in ecosystem services, such as flood control. It can therefore contribute to protected area resilience by providing a better understanding of the state of our natural resources and their links with biodiversity, presumably leading to better management decisions and outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…In each bootstrapped dataset, observations from grid cells assigned to training represented 25% of observations in that dataset. This modified grid-sampling algorithm also maintained a constant prevalence between the training and evaluation datasets (as in Wilsey, Jensen, & Miller, 2016). Finally, we filtered observations using both geographic (Boria et al, 2014) and environmental (Varela, Anderson, García-Valdés, & Fernández-González, 2014) approaches to reduce bias and minimize model over-fitting.…”
Section: Species Distribution Modelingmentioning
confidence: 99%