Write the vector field as
The equilibrium points of a dynamical system in the closed first quadrant are
The Jacobian matrix is
At its eigenvalues are , so this is a saddle equilibrium. Its unstable direction is the positive -axis and its stable direction is the positive -axis; to first order, nearby trajectories satisfy , .
At the eigenvalues are , so it is also a saddle. The -axis is the stable direction, while trajectories entering the quadrant in the direction move away.
At ,
whose eigenvalues are
It is therefore a stable spiral. A point immediately to its right moves upward, so nearby trajectories spiral counterclockwise into the equilibrium. These eigendirections and the inward spiral give the requested local phase-portrait sketches.
The only positive equilibrium solves and , hence is
Away from a nullcline,
This is separable:
Integration gives the first integral
Thus one convenient conserved quantity is
Its gradient is
so is its only stationary point in the positive quadrant. Its Hessian matrix is
which is positive definite everywhere. Hence is a strict, indeed global, minimum.
The nearby level curves of are closed curves surrounding this minimum. Since is constant along every trajectory, a solution starting on a sufficiently small nearby level set cannot leave the region bounded by a slightly larger level set. This proves Lyapunov stability of the equilibrium: solutions initially close to remain close for all time.

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