Kathleen Farley, Tomer Duman, and Claus Holzapfel

Slides:



Advertisements
Similar presentations
Madagascar.
Advertisements

MAPS IN THE UPPER SNAKE HEADWATERS SUBBASIN Tim Reynolds, Ph.D. TREC, Inc. January 23, 2002.
Traditionally relied on MWI Random transect aerial survey –Reinecke et al. (1990) –Pearse et al. (2005) –State agencies continuing work MDWFP (2005-present)
Dominica. What is Operation Wallacea? Tropical scientific expeditions in 15countries 200+ academics running more than 120 projects Results published in.
University of Peradeniya,
On the value of efficient search: the case of biological prospecting Christopher Costello* and Michael Ward CREE 2003, Victoria B.C. * Bren School of Environmental.
By: Bradley Pierce, Kalli Bell, Darcy Baynes, and Jackson Martini.
Defining Responsible Forest Management FSC Forest Certification Standards Defining Responsible Forest Management Version:
WALLACE RESOURCE LIBRARY Module 02 – Survey Techniques: D03 – Comparison of bird survey techniques WALLACE RESOURCE LIBRARY Module 02 – Survey Techniques:
SCI-Pak Sustainable and Cleaner production in the manufacturing industries of Pakistan FUNDED BY THE EUROPEAN COMMISSION 1 SCI-Pak Sustainable.
RAPID ASSESSMENT PROGRAM (RAP) Terrestrial Ecosystems Freshwater Ecosystems Marine Ecosystems.
T&E Species, Special Sites and HCVF! Sarah Crow ATFS Webinar Series May 16, 2013.
BPS - 3rd Ed. Chapter 211 Inference for Regression.
Getting Ready for the Future Woody Turner Earth Science Division NASA Headquarters May 7, 2014 Biodiversity and Ecological Forecasting Team Meeting Sheraton.
A Statistical Analysis of Seedlings Planted in the Encampment Forest Association By: Tony Nixon.
Economic impact of nature conservation RSPB Experience The Royal Society for the protection of Birds RSPB EEA Copenhaguen 5 th.
Conservation Biology and Ecological Ecosystems Jess Drew Ali Powell Mark Zolla.
Biodiversity Rapid Assessment Techniques:. MacKinnon Lists
EXERCISE. Effect of fragmentation on orthopteran communities Two main pressures: 1. Habitat loss 2. Abandonment (within-patch forest encroachment)
The science of conservation planning Course objective: a free-ranging examination of some key scientific principles and research needs pertaining to conservation.
Results I) Regional Survey Rarefaction curves leveled off across sites, suggesting that the sample effort was sufficient to capture differences between.
Monitoring Programme. What is monitoring? Environmental monitoring is the systematic observation, measurement and calculation of the condition of the.
Presented by: Majyambere Methode World Environmental Day UR, Huye campus 3 June 2015.
Map of remaining significant woodlands in Southern Ontario. Used to be all woodlands before settlers arrived.
DEFORESTATION BY LIZ-MARIE GARRAWAY FORM 1M BY LIZ-MARIE GARRAWAY FORM 1M.
BPS - 5th Ed. Chapter 231 Inference for Regression.
Citizen Science An Introduction February What is Citizen Science? AKA crowd science, crowd- sourced science, civic monitoring, volunteer monitoring,
References. Methods Results We conducted avian point counts at pre-established points (created by USFWS within the Whittlsey Creek Watershed in the
Single Season Study Design. 2 Points for consideration Don’t forget; why, what and how. A well designed study will:  highlight gaps in current knowledge.
International Union for Conservation of Nature Conserving biodiversity Pioneering nature’s solutions to global challenges.
For more course tutorials visit ENV 100 Entire Course ENV 100 Week 1 DQ 1 ENV 100 Week 1 DQ 2 ENV 100 Week 1 DQ 3 ENV 100 Week 1 Individual.
Some Wildlife Census Techniques
1/25. 2/25 The YBR is located in South America (Ecuador), at the intersection of the Amazon, the Andes, and the equator. This makes the YBR one of the.
Stop! At this point we ask that your students take the formative assessment probe before facilitation of this element. The formative assessment probe is.
Wildlife Introduction
RIGOROUS IMPACT EVALUATION OF LAND SURVEYING COSTS
Nature of science Ms. Fernandez.
Module 6: Major Research Designs
The Guyana Expedition.
Lessons learned in supporting Wildlife Enforcement Networks
Volunteers Help Conserve Biodiversity In Ecuador
a capacity-building partnership
Levels of Inquiry The Simple Pendulum Learning Sequence
a capacity-building partnership
Natural Resources Nontraditional Agriculture
Natural Resources Nontraditional Agriculture
A case study in Le Thuy district
Determining and Scaling Habitat Services
Towards a Gulf-wide Bird Monitoring Network;
Exploring the biodiversity of birds in Taita Hills, Kenya
GIS and Related Activities in the
Additional Data Collection in 2017
Calculation of Background PM 2.5 Values
What does it mean to “do science”?
Q: What does it mean to “do science”? A:
Wild Wise: Coexisting with Carnivores
Basic Practice of Statistics - 3rd Edition Inference for Regression
WALLACE RESOURCE LIBRARY
Section 3: Environmental Solutions
Wildlife Introduction
USA-NPN National Coordinating Office
Terrestrial Salamander Monitoring Project
Rodrigo Santos, Sarah Santos and Fernando Ascensão
BIRD POPULATION MONITORING
Comparing Two Proportions
Statistics is… Mathematics: The tools used to analyze data and quantify uncertainty are mathematical in nature (e.g., probability, counting methods). English:
Why Can Resources Be Conserved?
Prairie Restorations Impact on Biodiversity: Understanding Restoration Impacts on Flowering Plant Frequency and Insect Pollinator Abundance Alyssa Ayen.
Smart meters and energy usage: a survey of energy behaviour among those who have had a smart meter, and those who have yet to get one April 2019.
Life’s Richness Pageant or Summary Measures of Diversity
Presentation transcript:

Kathleen Farley, Tomer Duman, and Claus Holzapfel How long until the next bird? Analysis of methodology in long-term monitoring in avian cloud forest communities Kathleen Farley, Tomer Duman, and Claus Holzapfel @woodcockwatchNJ Photo: Jack Baddams

Constant Effort Methods Point Counts (PC) Mist Nets (MN) Nocturnal Surveys (OE) Opportunistic (OE) Camera Traps OK

Big Conservation Questions How many seasons do you need to sample a site before you have a good sense of biodiversity? How much does biodiversity change from year to year? What role does team size and turnover play in observing biodiversity? OK

Objectives: Effort & Efficient Effort: How much time, people, $ vs. Efficient: how much you gain OK

Objectives: Effort & Efficient Effort: How much time, people, $ vs. Efficient: how much you gain Modifying the SAC yields effort & efficiency. OK

Conservation Organization: Operation Wallacea Conduct long-term biodiversity research through education-based funding model Improve conservation awareness and management Empower local communities OK

Cusuco NP, Honduras: Biodiversity Hotspot Top 100 Irreplaceable Sites (Le Saout et al. 2013) Top 25 for amphibians 102 Amphibians/Reptiles 102 Mammals 266 Birds (Martin et al. 2016) 58 endemic Mesoamerican species 33 endemic highland forest species 37% declining globally Rare habitats: Dwarf Forests OK

Rationale Cusuco National Park, Honduras * * C.I.D., Tufts For my work with Opwall, I traveled to their research site in Cusucuo NP, Honduras to work on land which was originally Mayan. Today, it is a paper park – protected on paper as unsustainable development and deforestation continue. It is worth noting that the local indigenous and environmental leaders face high levels of systemic violence in their quest to preserve land, which was evident during my season there. C.I.D., Tufts “The situation of the indigenous peoples of Honduras is critical, since their rights over their lands, territories and natural resources are not protected, they face acts of violence when claiming their rights, in a general context of violence and impunity, and they lack access to justice. In addition, they suffer from inequality, poverty and a lack of basic social services, such as education and health.” - Special Rapporteur on the rights of indigenous peoples, UN

Rationale Cusuco National Park, Honduras * * Base Camp C.I.D., Tufts Villages Dwarf Forest Coffee & Agriculture Cloud Forest

Rationale Cusuco National Park, Honduras 7 camps 28 transects * Base Camp * Capuca x Villages Dwarf Forest Coffee & Agriculture Cloud Forest

Each Method Contributes Unique Species OK

SAC Over One Season 112 Explain CI 2014 Vegan package in R. Shaded region denotes standard deviation from randomization of the model. OK

SAC Over Two Seasons 120 112 2014 2015 OK

Detected Biodiversity Changes Annually 120 112 150 2014 2015 2014 & 2015 OK

Detected Biodiversity Changes Annually 58 44 45 OK

Species Recorded Over a Decade PC Species Recorded Over a Decade New Species (by year) Total Species (by year) Cumulative Species (over all years) OK

Effort Across Seasons: PC Year Observers PCs Species 2006 6 235 88 2007 5 329 123 2008 4 372 128 2009 2 325 65 2010 3 295 91 2011 454 149 2012 7 488 144 2013 374 116 2014 339 112 2015 10 584 120 OK

Species Recorded All Years MN Species Recorded All Years New Species (by year) Total Species (by year) Cumulative Species (over all years) OK

Effort Across Season: MN Year Observers Sites Days Operated Net-Meters Species 2012 7 6 32 2965 58 2013 28 2244 41 2014 5 6000 40 2015 10 39 7200 Operated Net-meters = # nets * length of nets * days of use OK

Quantifying Effort Develop a metric for comparing efficiency across seasons Create SAC Calculate species added between each successive point Invert to get number of additional PCs needed for a new species to be added Create a model Species Accumulation Curve. n+2 n+1 Calculate species added between each successive point*. spn+2 – spn+1 PCn+2 – PCn+1 Invert to determine number of additional PCs for the next species. Species ∝ PC *smoothed by averaging 2 previous and following points OK

How to Read an Effort Graph *Hypothetical Results* Additional effort needed for 1 new species Current Samples Collected (PC, mist net days, etc.) OK

How to Read an Effort Graph *Hypothetical Results* Additional effort needed for 1 new species More effort Less effort Current Samples Collected (PC, mist net days, etc.) OK

How to Read an Effort Graph *Hypothetical Results* Slope = efficiency Less efficient Additional effort needed for 1 new species More efficient More effort Less effort Current Samples Collected (PC, mist net days, etc.) OK

How long until a new species? PC How long until a new species? Not about how many species are detected *** . ** * OK

How long until a new species? PC How long until a new species? PC_num 0.045178 0.001017 44.437 < 2e-16 *** Year2007 -2.206179 0.627687 -3.515 0.000445 *** Year2008 1.255325 0.614114 2.044 0.041014 * Year2009 2.204414 0.657487 3.353 0.000808 *** Year2010 1.308177 0.643803 2.032 0.042231 * Year2011 -2.869790 0.600723 -4.777 1.85e-06 *** Year2012 -2.679638 0.596758 -4.490 7.33e-06 *** Year2013 -1.051011 0.616468 -1.705 0.088300 . Year2014 -1.856649 0.624256 -2.974 0.002957 ** Year2015 1.491040 0.593940 2.510 0.012102 * OK

How long until a new species? PC How long until a new species? PC_num 0.045178 0.001017 44.437 < 2e-16 *** Year2007 -2.206179 0.627687 -3.515 0.000445 *** Year2008 1.255325 0.614114 2.044 0.041014 * Year2009 2.204414 0.657487 3.353 0.000808 *** Year2010 1.308177 0.643803 2.032 0.042231 * Year2011 -2.869790 0.600723 -4.777 1.85e-06 *** Year2012 -2.679638 0.596758 -4.490 7.33e-06 *** Year2013 -1.051011 0.616468 -1.705 0.088300 . Year2014 -1.856649 0.624256 -2.974 0.002957 ** Year2015 1.491040 0.593940 2.510 0.012102 * * ** *** . ANCOVA Results y ~ ax R2: 66.3% Significance Codes *** <0.001 **<0.01 *< 0.05 . <0.1 *** . ** * OK

How long until a new species? MN How long until a new species? ANCOVA Results y ~ ax R2: 88.6% ** *** Significance Codes *** <0.001 **<0.01 *< 0.05 . <0.1 *** OK

Recap Modifying SAC will yield efficiency scores for each season which are influenced by effort

Recap Modifying SAC will yield efficiency scores for each season which are influenced by effort Each method contributes unique species

Recap Modifying SAC will yield efficiency scores for each season which are influenced by effort Each method contributes unique species Effort impacts efficiency Team size & experience Sample size

Why This is Amazing Quantifies effort to increase detections Streamline & correct long-term study site efforts Applicable across taxa Next step: Factors influencing effort Using early season results to predict efficiency

The Independent Democratishe Nation of Guanales Acknowledgements Funding: Rutgers University TA/GA Professional Development Fund Jack Baddams, OpWall Anthony Brusa, Tony Cullen, Simon Garnier, Nick Henshue , Samuel Jones, Gareth Russell, Sahil Wadhwa Statistical & Scientific Support: Cusuco 2015 Science & Support Staff The Independent Democratishe Nation of Guanales