Why Wildlife Must Be Valued to Survive: Zambia’s GMA Conservation Model

In Zambia’s Game Management Areas, wildlife is not protected from competing land uses.

It exists within them. It shares space with agriculture, settlement, charcoal production, and small-scale enterprise, each of which produces immediate, tangible returns for the people who depend on it. The land that supports a herd of buffalo also supports the communities who live near it. The question is not whether wildlife and human land use will coexist. They already do. The question is which one wins over time.

For wildlife to persist in these landscapes, it must compete. And competition, in this context, is economic. If wildlife cannot compete economically with alternative land uses, it does not persist. There is no conservation outcome that overrides this.

The Reality of Land Use

A GMA is not a protected island. People live within it. They farm. They build. They make decisions about how land is used based on what sustains their families — over the current season and over the years ahead.

These decisions are not ideological. They are practical. Land is used for what works. When wildlife generates consistent, meaningful value for the communities living alongside it, those communities have a concrete reason to maintain the conditions that support it. When it does not, alternative uses expand — not out of hostility to wildlife, but out of economic logic that is entirely rational given the circumstances.

This is the central dynamic of conservation in working landscapes. It is also the one most often misunderstood.

What It Means for Wildlife to Compete

For wildlife to compete with alternative land uses, it must generate value that is real and present-day. Not abstract value. Not distant value. Value that is visible and felt in daily life by the people who live alongside it.

When that condition is met — when wildlife generates employment, revenue for community governance structures, protein through meat distribution, and infrastructure investment — it becomes economically rational to protect the conditions that produce it. Reporting illegal activity. Tolerating the costs of living near large, sometimes dangerous animals. Maintaining the land-use patterns that allow wildlife to persist.

When that condition is not met, those incentives dissolve. Slowly at first. Then faster.

How Value Is Created in Zambia’s GMA System

In Zambia, the GMA framework was designed to create that connection between wildlife and local economic benefit. It does this through a structured set of mechanisms that run through the concession system.

Regulated hunting — where it operates — is one of the primary revenue generators in remote GMA areas, particularly where photographic tourism is not yet viable at scale. That revenue flows through multiple channels: concession fees to DNPW, mandated revenue shares to Community Resource Boards, employment within the concession, meat distribution to nearby villages, and contributions to infrastructure and services that communities identify as priorities.

These are not discretionary benefits. They are embedded in the legal

framework governing how concessions operate. Community Resource Boards negotiate the terms before a concession is granted. Traditional Chiefs sign. DNPW oversees compliance. The system is designed to make wildlife valuable to communities in ways that are structured, accountable, and enforceable — not dependent on the goodwill of any single operator or season.

A System, Not a Transaction

The effectiveness of this model depends on continuity. Revenue must be consistent. It must be connected to the landscape. And crucially, it must be linked to the presence of wildlife — so that the relationship between wildlife and community benefit is clear and self-reinforcing.

When that link holds, the system reinforces itself. Communities protect what generates value for them. Operators manage the landscape in ways that keep wildlife productive. The cycle is self-sustaining.

When it breaks — when revenue becomes inconsistent, when community benefit-sharing weakens, when the economic case for wildlife erodes — the system begins to change. Not dramatically at first. But the direction of change is consistent, and it compounds.

Where Other Models Fit

Regulated hunting is not the only mechanism for creating wildlife value in GMAs, and it is not presented here as the only one. Photographic tourism, carbon finance, and community enterprise all play important roles where conditions allow. In areas with infrastructure, reliable access, and sufficient visitor demand, these models can be highly effective and generate substantial community benefit.

But in many of Zambia’s more remote GMA areas — areas without established tourism infrastructure, with limited road access and seasonal flooding, far from the photographic circuits that concentrate visitor flow — those alternatives are not yet viable at the scale required to replace the economic role that regulated hunting currently plays. This is a function of geography, access, and market reality. It is not a permanent condition, but it is the current one. And conservation decisions have to be made in the present.

The question in each landscape is not which model is theoretically preferable. It is which model actually keeps wildlife economically competitive with the alternatives that exist right now.

Alignment Is the Mechanism

No single entity creates wildlife value alone. The GMA system functions through alignment across multiple actors, each playing a defined role.

DNPW establishes the regulatory framework, sets quotas based on population assessments, issues permits, and enforces compliance. Communities participate through elected Community Resource Boards and traditional leadership, negotiating concession terms and directing how community revenues are spent. Licensed operators implement concession activity, meet the obligations negotiated at the outset, and maintain the presence in the landscape that makes monitoring and protection practical. Conservation organizations contribute scientific capacity, ecological monitoring, and anti-poaching support that commercial operators cannot replicate.

When these roles are all functioning — not perfectly, but consistently — the system creates the conditions for wildlife to compete. When any of them weakens significantly, the others come under pressure.

What Happens When Wildlife Loses

Where wildlife no longer competes successfully with alternative land uses, the transition follows the pattern described in this series. Land at the margins converts first. Settlement expands toward water sources. Habitat fragments. The national park that once had a functioning buffer zone finds itself bordered by a landscape that provides diminishing protection and limited corridor connectivity.

The system does not collapse. It changes. And once communities, land-use patterns, and economic incentives have reorganized around a different set of returns, reversing that change requires investments of time, resources, and political will that dwarf what maintaining the system would have required.

This is why the competitive position of wildlife in working landscapes matters so much, and why it has to be actively maintained rather than assumed.

A Working Model

Where alignment exists, the outcomes are visible: wildlife with range to move, communities with a stake in its presence, habitat that remains intact, and buffer zones that protect the national park systems they surround.

That alignment is the mechanism. Everything else — the governance frameworks, the concession structures, the conservation partnerships, the community investment — exists to create and sustain it.

In working landscapes, wildlife does not persist because it is protected in principle. It persists because it remains competitive in practice. When it stops competing, it is replaced.

The examples that follow in this series document what that maintenance looks like in practice — in two GMA buffer zones in Zambia, through the combined efforts of government, communities, conservation organizations, and aligned commercial partners working within the system.