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A new hope for conserving the disjunct population of the Sierra Madre Sparrow Xenospiza baileyi: population size and new breeding localities in the Sierra Madre Occidental, Mexico
Carlos Enrique Aguirre-Calderón, Armando Sánchez-Escalera, Irene Ruvalcaba-Ortega, Cristóbal Gerardo Aguirre-Calderón, Benedicto Vargas-Larreta, Francisco J. Hernández, Ricardo Canales-del-Castillo, Jose Ignacio Gonzalez Rojas
Journal: Bird Conservation International , First View
Published online by Cambridge University Press: 29 June 2022, pp. 1-8
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The Sierra Madre Sparrow Xenospiza baileyi is an endangered Mexican endemic and a bunchgrassland specialist with a disjunct range: a relatively larger population in the south-eastern Trans-Mexican Volcanic Belt, and a smaller and poorly studied population in the Sierra Madre Occidental. In the latter, known distribution and abundance consists of four localities with a maximum of 28 individuals recorded in one of them. We surveyed the Sierra Madre Sparrow in 30 sites with suitable habitat, meadows or “bajíos” with bunchgrasses, in the municipalities of Durango, Pueblo Nuevo, San Dimas, and Canatlán in the Sierra Madre Occidental of Durango. We detected a total of 193 individuals in nine (30%) of the sites (392 ha), conducting intensive searches throughout them. Bunchgrasses in confirmed meadows were composed mainly of Muhlenbergia macroura, M. rigida, M. speciosa, M. rigens, and Piptochaetium fimbriatum. Total bunchgrass area within a meadow was a significant positive predictor of the Sierra Madre Sparrow presence, while total meadow area was not a significant predictor of its abundance. Seven of the confirmed localities were previously unknown, and two of them harboured 55% of the observed individuals: Ex Hacienda Coyotes (Pueblo Nuevo) and La Lobera (San Dimas). The estimated population size is at least four times higher than any previous record (28) or suggested (40–50) for the Sierra Madre Occidental and raises an opportunity and a challenge for conserving this genetically distinct population of the Sierra Madre Sparrow in the region.

6 - How to Choose a Graph
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 181-201
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4 - Sampling
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 120-148
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5 - Graph Signal Representations
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 149-180
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3 - Graph Signal Frequency – Spectral Graph Theory
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 75-119
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1 - Introduction
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 1-28
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7 - Applications
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 202-234
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Preface
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp xiii-xiv
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Contents
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp vii-xii
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2 - Node Domain Processing
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 29-74
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Frontmatter
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp i-iv
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Acknowledgments
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp xv-xvii
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References
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 286-296
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Index
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 297-302
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Dedication
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp v-vi
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Notation
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp xviii-xviii
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Appendix A - Linear Algebra and Signal Representations
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 235-252
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Appendix B - GSP with Matlab: The GraSP Toolbox
Antonio Ortega, University of Southern California
Book: Introduction to Graph Signal Processing
Published online: 09 May 2022
Print publication: 09 June 2022, pp 253-285
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1 - Using Case Studies to Enhance the Quality of Explanation and Implementation
- By Jennifer Widner, Michael Woolcock, Daniel Ortega Nieto
Edited by Jennifer Widner, Princeton University, New Jersey, Michael Woolcock, Daniel Ortega Nieto
Book: The Case for Case Studies
Published online: 05 May 2022
Print publication: 26 May 2022, pp 1-26
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Summary

The opening chapter provides a brief outline of the conventional division of labor between qualitative and quantitative methods in the social sciences. It sketches the main standards that govern case study research. It then offers an overview of subsequent chapters, which challenge some of these distinctions or deepen our understanding of what makes qualitative case studies useful for both causal inference and policy practice.

Appendix 2.1
from 2 - How to Learn about Causes in the Single Case
Edited by Jennifer Widner, Princeton University, New Jersey, Michael Woolcock, Daniel Ortega Nieto
Book: The Case for Case Studies
Published online: 05 May 2022
Print publication: 26 May 2022, pp 48-48
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A new hope for conserving the disjunct population of the Sierra Madre Sparrow Xenospiza baileyi: population size and new breeding localities in the Sierra Madre Occidental, Mexico

6 - How to Choose a Graph

4 - Sampling

5 - Graph Signal Representations

3 - Graph Signal Frequency – Spectral Graph Theory

1 - Introduction

7 - Applications

Preface

Contents

2 - Node Domain Processing

Frontmatter

Acknowledgments

References

Index

Dedication

Notation

Appendix A - Linear Algebra and Signal Representations

Appendix B - GSP with Matlab: The GraSP Toolbox

1 - Using Case Studies to Enhance the Quality of Explanation and Implementation

Summary

Appendix 2.1

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747 results

Summary