Do not miss the opportunity to study this Postgraduate diploma in Wildlife Mapping and Potential Distribution Models with us. It's the perfect opportunity to stand out and advance your career” 

Unlike other programs, the Postgraduate diploma in Wildlife Mapping and Potential Distribution Models approaches wildlife management from an interdisciplinary point of view.

Wildlife management covers a wide spectrum of lines of research and action, in addition to the study of health surveillance and disease control, which is usually the general line of study in similar programs. However, in the future, veterinary professionals will have to face other lines of work in biodiversity conservation, which are also extensively developed throughout the syllabus. 

Nowadays, it is difficult to find a program like this one, which provides students with specialized education in the use of the most common software in daily practice. Today there are many computer tools available that are considered necessary and that facilitate and increase the level of quality of work, which are considered necessary.

Species biology is not only based on theoretical knowledge, but also on spatial and geolocalized data. The only way to understand and visualize how species are distributed is by using Geographic Information Systems to represent and model the data.

This complete training program is designed by professors with the highest recognized degree of specialization, thus guaranteeing its quality in all aspects in wildlife, both clinical and scientific. A unique opportunity to specialize in an area where professional positions are in high demand, from the hands of outstanding professionals. 

Train at TECH and learn the concepts associated with wildlife populations and the processes and interactions that take place”

This Postgraduate diploma in Wildlife Mapping and Potential Distribution Models contains the most complete and up-to-date scientific program on the market. The most important features include: 

• Case studies presented by experts in Wildlife
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• New developments in Wildlife Management
• Practical exercises where the self-assessment process can be carried out to improve learning
• Special emphasis on innovative methodologies in Wildlife Management
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection work
• Content that is accessible from any fixed or portable device with an Internet connection

This Postgraduate Diploma is the best investment you can make when selecting a refresher program in Wildlife Mapping and Potential Distribution Models“

It includes, in its Teaching staff, Professionals belonging to the veterinary field, who pour into this training the experience of their work, in addition to recognized Specialists from Reference Societies and Prestigious Universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.
 
This program is designed around Problem-Based Learning, whereby the specialist must try to solve the different professional practice situations that arise throughout the program. For this, the professional will have the help of an innovative, interactive video system made by recognized and experienced experts in Wildlife.

This program comes with the best educational material, providing you with a contextual approach that will facilitate your learning"

This 100% online Postgraduate diploma will allow you to balance your studies with your professional work while expanding your knowledge in this field"

The content has been structured and designed by the best professionals in Wildlife Mapping and Potential Distribution Models , who have extensive experience and recognized prestige in the profession, backed by the volume of cases reviewed, studied, and diagnosed, and who have extensive knowledge of new technologies applied to veterinary.

We have the most complete and up-to-date academic program in the market. We strive for excellence and for you to achieve it too" 

Module 1. Resources to Acquire and Analyze Data on Species Distribution, Natural Areas and Environmental Habitat Variables 

1.1. International Union for Conservation of Nature and Natural Resources (UICN) 

1.1.1. Species Data and Distribution
1.1.2. Tools Available to Analyze Species Distribution Data

1.2. Global Biodiversity Information Facility (GBIF) 

1.2.1. Species Data and Distribution
1.2.2. Tools Available to Analyze Species Distribution Data 

1.3. e-BIRD 

1.3.1. Citizen Science in Global Massive Species Data Management
1.3.2. Data and Distribution of Avifauna from Citizen Science

1.4. MammalNet

1.4.1. Data and Monitoring of Mammals from Citizen Science

1.5. Ocean Biodiversity Information System (OBIS)

1.5.1. Species Distribution Data of Marine Species

1.6. Species and Habitats included in Natura 2000

1.6.1. Distribution Mapping of Natura 2000 Sites
1.6.2. Documentary Databases of Species, Habitats and Official Ecological Information
1.6.3. Monitoring Distribution, Pressures, Threats and Conservation Status through Official Sexennial Reports

1.7. World Network of Protected Natural Spaces

1.7.1. Protected Planet in Territorial Species Management

1.8. Natural Environments and Land Use

1.8.1. Corine Land Cover (CLC) Land Uses
1.8.2. Global Land Cover (GLC) of the European Space Agency for the Identification of Natural Environments
1.8.3. Land Resources linked to Forest Environments
1.8.4. Land Resources linked to Wetlands

1.9. Bio-Climatic Environmental Variables for Species Habitat Modeling

1.9.1. World Clim
1.9.2. Bio-Oracle
1.9.3. Terra Climate
1.9.4. ERA5 Land
1.9.5. Global Weather

1.10. Morphological Environmental Variables for Species Habitat Modeling

1.10.1. Digital Elevation Models
1.10.2. Digital Terrain Models

Module 2. Spatial Management of Species using Geographic Information Systems in QGIS 

2.1. Introduction to Geographic Information Systems (GIS) 

2.1.1. Introduction to Geographic Information Systems
2.1.2. Mapping File Formats for Species Analysis
2.1.3. Main Geoprocessing Analyses for Species Management

2.2. Reference Systems in Map Files

2.2.1. The Importance of Reference Systems in the Visualization and Accuracy of Field Data Linked to Species Distribution
2.2.2. Examples of Correct and Incorrect Data Management in Species Domains 

2.3. QGIS Interface 

2.3.1. Introduction to QGIS
2.3.2. Interface and Sections to be Analyzed and Data Display

2.4. Data Visualization and Display on QGIS

2.4.1. Visualizing Mapping Data on QGIS
2.4.2. Attribute Tables for Querying and Documenting Information
2.4.3. Symbolism for Sample Representation

2.5. QGIS Plug-ins for Species Mapping and Analysis

2.5.1. QGIS Plug-ins
2.5.2. GBIF Plug-in
2.5.3. Natusfera Plug-in
2.5.4. Species Explorer Plug-in
2.5.5. Citizen Science Platforms and Other Analysis Plug-ins

2.6. Cartographic Management of Sample Plots and Field Monitoring 

2.6.1. Geometric Planning of Sampling Plots and Grids
2.6.2. Representation of Distribution Data, Sampling Data and Transects in the Field

2.7. Species Richness and Effort Maps 

2.7.1. Analysis of Species Richness Data
2.7.2. Representation of Richness Maps
2.7.3. Analysis of Effort Data
2.7.4. Representation of Effort Maps

2.8. Practical Example: Multi-Criteria Analysis for Species Suitability Maps

2.8.1. Introduction to the Use of Land Suitability Maps
2.8.2. Analysis of Environmental Variables Linked to the Species
2.8.3. Analysis of Suitability Values for the Variables
2.8.4. Elaboration of Land Suitability Maps for Species

2.9. Creation of Ecological Corridors for Species Distribution

2.9.1. Introduction to Spatial Connectivity Strategies to Create Ecological Corridors
2.9.2. Resistance and Friction Maps vs. Suitability Maps
2.9.3. Identification of Connectivity Points
2.9.4. Development of Ecological Corridors for Species Distribution

2.10. Considerations for Field Data Collection

2.10.1. Available Technologies
2.10.2. Device Configuration prior to Data Collection
2.10.3. Technical Considerations in Data Documentation
2.10.4. Considerations according to the Scale of Work

Module 3. Potential Species Distribution Modeling with Maxent 

3.1. Maxent and Predictive Models 

3.1.1. Introduction to Maxent
3.1.2. Species Distribution Analysis File Formats

3.2. Prediction Analysis Mapping

3.2.1. Species Distribution Coordinates
3.2.2. Environmental Variables for Species Analysis

3.3. Cartographic Resources for Species Modeling

3.3.1. Baseline Data for Modeling
3.3.2. Resources to Obtain Territorial Environmental Variables
3.3.3. Resources to Obtain Species Distribution Data
3.3.4. Strategies to Convert Data to Maxent Required Formats

3.4. Format Restrictions and Limitations in Species Modeling Input Data 

3.4.1. Format Standardization for Species Distribution Coordinates
3.4.2. Raster Format Standardization for Species-Dependent Territorial Variables

3.5. Maxent Management Interface for Species Distribution Modeling 

3.5.1. Data Entry Sections and Program Configuration
3.5.2. Main Errors to Avoid during Modeling

3.6. Modeling Options 

3.6.1. Logistic Model
3.6.2. Cumulative Model
3.6.3. Raw Model
3.6.4. Modeling under Future Scenarios

3.7. Potential Modeling with Variables and Distribution Data 

3.7.1. Species Distribution Coordinates
3.7.2. Species-Dependent Raster Variables
3.7.3. Generation of Potential Species Distribution Models

3.8. Maxent Data Simulation and Display 

3.8.1. Omission/Commission
3.8.2. Variable Contribution
3.8.3. Response Curves
3.8.4. Resulting Distribution Maps
3.8.5. Supplementary Analytical Data
3.8.6. Data Validation and Testing

3.9. Future Predictions for Territorial Change Scenarios

3.9.1. Future Environmental Variables
3.9.2. Future Scenario Modeling

3.10. Display and Interpretation of Models in QGIS 

3.10.1. Importing Results in QGIS
3.10.2. Symbology and Visualization of Results in QGIS

This program will allow you to advance in your career comfortably"