Current management principles (such as late mowing for export) are considered favourable and should be maintained. In order to preserve the mosaic of habitats and landscapes of the low-alkaline peat bog (northern sector), management actions should be considered to contain the cladia that is advancing on typical low-alkaline mire habitats. Localized sprigging could limit the expansion of the Marisque. In addition, management practices need to be correlated and refined with the ecology and location of the heritage species present.

The implementation of the technical architecture and monitoring programme has ensured the availability of a big database of information both of the species and its environment. Data availability is key to ensure that park staff (managers, rangers, technicians, etc.) makes informed decisions when it comes to territory and species management strategies. Besides, the local design of the monitoring programme and the parameters within it, has increased the capacity of the park staff not only to manage it, but also to improve it and eventually apply it to the monitoring of different species and even other phenomena.

The objective of this building block is to provide technical teams with the biological parameters necessary to determine the current state of an ecosystem (level of degradation) and the desired state (healthy), in order to determine the appropriate restoration measures to be implemented in that specific ecosystem; for example, we will use the case of the Guatemalan dry forest.

The characterization of the ecosystem is done by documentary review and geospatial analysis, identifying the general-initial conditions of the ecosystem and its associations. Distribution / Climate / Soil Quality / Topographic Elevation / Flora Diversity / Fauna Diversity / Dasometric Characteristics of the Reference Ecosystems. For the dry forest, 3 associations were identified: 1) thorny scrub, 2) high dry forest and 3) riparian forest.

The definition of the levels of degradation is done by plot survey, comparing the successional states of the reference ecosystem with the dasometric characteristics obtained from the plots. In the case of the dry forest, three levels of degradation were identified: 1) pioneer succession, 2) secondary forest and 3) degraded forest.

The objective of this building block is to provide developers and implementers of ecosystem and landscape restoration projects with a tool that uses remote sensing, augmentation factors, and the integration of the two as a way to evaluate the effectiveness of restoration interventions on the ground.

To evaluate the line of impact of ecosystem services based on remote sensing, baseline data (baseline, management units and recent images) are collected and the differential between the initial and final year is calculated through: the definition of the increment tables, the normalization and adjustment of images, and the modeling of ecosystem services.

The increment factor approach is used for cropland and/or livestock where spectral indices derived from satellite imagery fail to accurately detect vegetation changes; and is calculated through: definition of baseline data, categorization of restoration practices and estimation of increment factors per implemented measure.

By executing this process, the area directly and indirectly impacted is available.

The objective of this building block is to provide developers and implementers of ecosystem and landscape restoration projects with a tool for collecting key information in the field to measure the impact of proposed restoration actions.

The steps for its implementation are:

1. Survey of management units: provides complete information on the sites selected for restoration actions and includes; name and sex of the producer, correlative number and code of the management unit, administrative boundaries, geographic coordinates, area and legal status of the management unit, predominant land use and a photograph of the site.
2. Survey of the management subunits: provides complete information on the specific restoration measures to be implemented in the selected sites and includes; the codes of the management subunits, coordinates and areas of the management subunits, current land use, future land use, restoration measures and practices to be implemented.

By executing this process, information is available that relates restoration actions to the improvement of ecosystem services in different parts of the landscape.

The objective of this building block is to provide developers and implementers of ecosystem and landscape restoration projects with a tool that uses remote sensing and geospatial data to determine the current state of ecosystem services and the sites where specific restoration measures can be implemented.

The steps to execute it are as follows:

1. Preparation of baseline data: it forms a cartographic series that includes information on the project area, topography, climate, soil and forest cover.
2. Hydrological and soil analysis: results in the water erosion map and the water infiltration map of the project area.
3. Structural landscape analysis: results in the biological connectivity map of the project area.
4. Integrated landscape analysis: results in the ecosystem services index and its map in different territorial management units.
5. Generation of suitability indexes: results in 7 soil suitability maps to apply specific ecosystem and landscape restoration measures.

Following two funding calls, a total of 17 projects were selected. The projects represent a very wide range of different approaches and solution ideas for pursuing the Alliance's goals, depending on the respective context.

To increase the visibility of the projects and to foster knowledge exchange they are invited to present their ongoing work, intermediate goals and preliminary results to the Alliance community through posts on the website or at online events.

The members area is exclusive for registered members (individuals or organisations) of the Alliance. The membership is free of charge and gives you the chance to join forces for a common cause as well as connect, collaborate and partner with other members.

The Members Area serves as a platform for internal exchange, sharing of interesting articles, job opportunities and event dates as well as having access to video recordings of past events on demand.

The aim is to establish practices, rules and/or standards to reduce risks to the environment, human and animal health in trade in wild animals and wild animal products in selected partner countries in global biodiversity hotspot regions. Among other things, risk assessments, the design of educational measures in different formats (digital and non-digital campaigns, training courses, etc.) and the scientific monitoring of the implementation of good practices (e.g. impact assessments) are to be promoted. The Alliance brings the relevant actors together across sectors and use concrete findings to formulate adapted regulations or or supports the institutionalization of relevant practices.

The International Alliance currently has 3 Working Groups, which are led by the members themselves and receive support from the Alliance Secretariat. Each Working Group is led by 1-2 chairs and the group meets every 6-8 weeks to ensure a continous work process.

We currently have the following Working Groups:

- Science Policy Interface (chair: Sue Liebermann, WCS)

Considering our core understanding of wildlife we want to infuse this understanding, based on scientific evidence, into international political processes.

- Transformative System Change: The Big Picture (chair: Alex D. Greenwood, IZW Berlin; Barabara Maas, NABU)

There are underlying fundamental obstacles to achieving the Alliances objectives and goals. Identifying and addressing these is the focus of this Working Group. 

- Evaluation/Effective Interventions (chair: Craig Stephen, One Health Consultant)

The aim is to gather good practices on effective interventions from Alliance members to enable learning and knowledge exchange across sectors and regions.